FORMAL REDUCTION OF LINEAR DIFFERENCE SYSTEMS
高中数学课程描述(英文)

Mathematics Course DescriptionMathematics course in middle school has two parts: compulsory courses and optional courses. Compulsory courses content lots of modern mathematical knowledge and conceptions, such as calculus, statistics, analytic geometry, algorithm and vector. Optional courses are chosen by students which is according their interests.Compulsory Courses:Set TheoryCourse content:This course introduces a new vocabulary and set of rules that is foundational to the mathematical discussions. Learning the basics of this all-important branch of mathematics so that students are prepared to tackle and understand the concept of mathematical functions. Students learn about how entities are grouped into sets and how to conduct various operations of sets such as unions and intersections (i.e. the algebra of sets). We conclude with a brief introduction to the relationship between functions and sets to set the stage for the next stepKey Topics:➢The language of set theory➢Set membership➢Subsets, supersets, and equality➢Set theory and functionsFunctionsCourse content:This lesson begins with talking about the role of functions and look at the concept of mapping values between domain and range. From there student spend a good deal of time looking at how to visualize various kinds of functions using graphs. This course will begin with the absolute value function and then move on to discuss both exponential and logarithmic functions. Students get an opportunity to see how these functions can be used to model various kinds of phenomena. Key Topics:➢Single-variable functions➢Two –variable functions➢Exponential function➢ Logarithmic function➢Power- functionCalculusCourse content:In the first step, the course introduces the conception of limit, derivative and differential. Then students can fully understand what is limit of number sequence and what is limit of function through some specific practices. Moreover, the method to calculate derivative is also introduced to students.Key Topics:➢Limit theory➢Derivative➢DifferentialAlgorithmCourse content:Introduce the conception of algorithm and the method to design algorithm. Then the figures of flow charts and the conception of logical structure, like sequential structure, contracture of condition and cycle structure are introduced to students. Next step students can use the knowledge of algorithm to make simple programming language, during this procedure, student also approach to grammatical rules and statements which is as similar as BASIC language.Key Topics:➢Algorithm➢Logical structure of flow chart and algorithm➢Output statement➢Input statement➢Assignment statementStatisticsCourse content:The course starts with basic knowledge of statistics, such as systematic sampling and group sampling. During the lesson students acquire the knowledge like how to estimate collectivity distribution according frequency distribution of samples, and how to compute numerical characteristics of collectivity by looking at numerical characteristics of samples. Finally, the relationship and the interdependency of two variables is introduced to make sure that students mastered in how to make scatterplot, how to calculate regression line, and what is Method of Square.Key Topics:➢Systematic sampling➢Group sampling➢Relationship between two variables➢Interdependency of two variablesBasic Trigonometry ICourse content:This course talks about the properties of triangles and looks at the relationship that exists between their internal angles and lengths of their sides. This leads to discussion of the most commonly used trigonometric functions that relate triangle properties to unit circles. This includes the sine, cosine and tangent functions. Students can use these properties and functions to solve a number of issues.Key Topics:➢Common Angles➢The polar coordinate system➢Triangles properties➢Right triangles➢The trigonometric functions➢Applications of basic trigonometryBasic Trigonometry IICourse content:This course will look at the very important inverse trig functions such as arcsin, arcos, and arctan, and see how they can be used to determine angle values. Students also learn core trig identities such as the reduction and double angle identities and use them as a means for deriving proofs. Key Topics:➢Derivative trigonometric functions➢Inverse trig functions➢Identities●Pythagorean identities●Reduction identities●Angle sum/Difference identities●Double-angle identitiesAnalytic Geometry ICourse content:This course introduces analytic geometry as the means for using functions and polynomials to mathematically represent points, lines, planes and ellipses. All of these concepts are vital in student’s mathematical development since they are used in rendering and optimization, collision detection, response and other critical areas. Students look at intersection formulas and distance formulas with respect to lines, points, planes and also briefly talk about ellipsoidal intersections. Key Topics:➢Parametric representation➢Parallel and perpendicular lines➢Intersection of two lines➢Distance from a point to a line➢Angles between linesAnalytic Geometry IICourse content:Students look at how analytic geometry plays an important role in a number of different areas of class design. Students continue intersection discussion by looking at a way to detect collision between two convex polygons. Then students can wrap things up with a look at the Lambertian Diffuse Lighting model to see how vector dot products can be used to determine the lighting and shading of points across a surface.Key Topics:➢Reflections➢Polygon/polygon intersection➢LightingSequence of NumberCourse content:This course begin with introducing several conceptions of sequence of number, such as, term, finite sequence of number, infinite sequence of number, formula of general term and recurrence formula. Then, the conception of geometric sequence and arithmetic sequence is introduced to students. Through practices and mathematical games, students gradually understand and utilizethe knowledge of sequence of number, eventually students are able to solve mathematical questions.Key Topics:➢Sequence of number➢Geometric sequence➢Arithmetic sequenceInequalityThis course introduces conception of inequality as well as its properties. In the following lessons students learn the solutions and arithmetic of one-variable quadratic inequality, two variables inequality, fundamental inequality as well how to solve simple linear programming problems.Key Topics:➢Unequal relationship and Inequality➢One-variable quadratic inequality and its solution➢Two-variable inequality and linear programming➢Fundamental inequalityVector MathematicsCourse content:After an introduction to the concept of vectors, students look at how to perform various important mathematical operations on them. This includes addition and subtraction, scalar multiplication, and the all-important dot and cross products. After laying this computational foundation, students engage in games and talk about their relationship with planes and the plane representation, revisit distance calculations using vectors and see how to rotate and scale geometry using vector representations of mesh vertices.Key Topics:➢Linear combinations➢Vector representations➢Addition/ subtraction➢Scalar multiplication/ division➢The dot product➢Vector projection➢The cross productOptional CoursesMatrix ICourse content:In this course, students are introduced to the concept of a matrix like vectors, matrices and so on. In the first two lessons, student look at matrices from a purely mathematical perspective. The course talks about what matrices are and what problems they are intended to solve and then looks at various operations that can be performed using them. This includes topics like matrix addition and subtraction and multiplication by scalars or by other matrices. At the end, students can conclude this course with an overview of the concept of using matrices to solve system of linear equations.Key Topics:➢Matrix relations➢Matrix operations●Addition/subtraction●Scalar multiplication●Matrix Multiplication●Transpose●Determinant●InversePolynomialsCourse content:This course begins with an examination of the algebra of polynomials and then move on to look at the graphs for various kinds of polynomial functions. The course starts with linear interpolation using polynomials that is commonly used to draw polygons on display. From there students are asked to look at how to take complex functions that would be too costly to compute in a relatively relaxed studying environment and use polynomials to approximate the behavior of the function to produce similar results. Students can wrap things up by looking at how polynomials can be used as means for predicting the future values of variables.Key Topics:➢Polynomial algebra ( single variable)●addition/subtraction●multiplication/division➢Quadratic equations➢Graphing polynomialsLogical Terms in MathematicsCourse content:This course introduces the relationships of four kinds of statements, necessary and sufficient conditions, basic logical conjunctions, existing quantifier and universal quantifier. By learning mathematical logic terms, students can be mastered in the usage of common logical terms and can self-correct logical mistakes. At the end of this course, students can deeply understand the mathematical expression is not only accurate but also concise.Key Topics:➢Statement and its relationship➢Necessary and sufficient conditions➢Basic logical conjunctions➢Existing quantifier and universal quantifierConic Sections and EquationCourse content:By using the knowledge of coordinate method which have been taught in the lesson of linear and circle, in this lesson students learn how to set an equation according the character of conic sections. Students is able to find out the property of conic sections during establishing equations. The aim of this course is to make students understand the idea of combination of number and shape by using the method of coordinate to solve simple geometrical problems which are related to conic sections.Key Topics:➢Curve and equation ➢Oval➢Hyperbola➢Parabola。
数学专业英语词汇(G)

数学专业英语词汇(G)数学专业英语词汇(G)数学专业英语词汇(G)g space g空间g surface g曲面galerkin equations 加勒金方程galerkin method 加勒金法galois algebra 伽罗瓦代数galois cohomology 伽罗瓦上同调galois extension 伽罗瓦扩张galois field 伽罗瓦域galois group 伽罗瓦群galois theory 伽罗瓦理论galton watson process 高尔顿沃森过程game 对策game in normalized form 标准型对策game in partition function form 分拆函数形对策game of chance 机会对策game of hex 六角形对策game of pursuit 追逐对策game theoretic 对策论的game theoretic model 对策论模型game theory 对策论game with infinitely many players 无限局中人对策gamma distribution 分布gamma function 函数gamma rays 射线gap 间隙gap series 间隙级数gap theorem 间隙定理gateaux differential 加特微分gauge group 规范群gauge surface 规范面gauge transformation 度规变换gaugeinvariance 度规不变性gauss curvature 高斯曲率gauss distribution 高斯分布gauss elimination method 高斯消去法gauss equations 高斯方程gauss formula 高斯公式gauss integral 高斯积分gauss markov theorem 高斯马尔可夫定理gauss seidel method 高斯赛得尔方法gauss transformation 高斯变换gaussian algorithm 高斯消去法gaussian bell shaped curve 高斯钟形曲线gaussian curvature of surface 曲面的高斯曲率gaussian curve 误差曲线gaussian distribution 高斯分布gaussian elimination 高斯消去法gaussian integer 高斯整数gaussian interpolation formula 高斯插值公式gaussian number field 高斯数域gaussian plane 复数平面gaussian process 高斯过程gaussian quadrature formula 高斯求积公式gaussian sum 高斯和gegenbauer polynomial 格根包尔多项式general algebra 一般代数general algebraic equation 一般方程general associative law 一般结合律general dirichlet series 一般狄利克雷级数general distributive law 一般分配律general distributivity 无限分配性general equation 一般方程general factor 一般因子general integral 通积分general laplace transform 一般拉普拉斯变换general linear equation 一般线性方程general linear group 全线性群general point 普通点general polynomial 一般多项式general position 一般位置general proposition 一般命题general purpose computer 通用计算机general reciprocal 广义逆矩阵general recursive function 一般递归函数general recursive predicate 一般递归谓词general recursive relation 一般递归关系general set theory 一般集合论general solution 通积分general term 通项general topology 集论拓扑general uniformization theorem 一般单值化定理general validity 一般有效性general valuation 广义赋值generalization 一般化generalize 普遍化generalized almost periodic function 广义殆周期函数generalized boolean algebra 广义布尔代数generalized continuum hypothesis 广义连续统假设generalized coordinates 广义坐标generalized derivative 广义导数generalized distance 广义距离generalized eigenspace 广义特照间generalized fourier series 广义傅里叶级数generalized function 广义函数generalized green function 广义格林函数generalized inverse 广义逆矩阵generalized limit 广义极限generalized mean 广义平均generalized sequence 有向系generalized simplex method 推广的单形法generalized solution 弱解generalized sum 广义级数的和generalized symmetric group 广义对称群generalized vandermonde determinant 广义范得蒙弟行列式generate 生成generated group 生成群generated subspace 生成子空间generating circle 母圆generating cone 母锥generating element 生成元generating function 母函数generating line 母线generating line of surface 曲面的母线generating routine 生成程序generating series 生成级数generating subspace 生成子空间generation 生成generator 母线generator of a surface 曲面的母线generic 一般的generic point 一般点generic zero 一般零点genus 狂genus of a surface 曲面的狂geodesic 测地线geodesic coordinates 测地坐标geodesic curvature 测地曲率geodesic deviation 测地偏差geodesic distance 测地距geodesic line 测地线geodesic parameter 测地参数geodesic torsion 测地挠率geodesy 测地学geoid 地球体geometric average 比例中项geometric boundary condition 本质边界条件geometric complex 几何复形geometric cross section 几何截面geometric difference equation 几何差分方程geometric distribution 几何分布geometric figure 几何图形geometric genus 几何狂geometric interpretation 几何解释geometric mean 比例中项geometric meaning 几何意义geometric multiplicity 几何重数geometric optics 几何光学geometric probability 几何概率geometric progression 等比级数geometric representation 几何表示geometric sequence 等比级数geometric series 几何级数geometric simplex 几何单形geometric sum 几何和geometrical element 几何元素geometrical locus 几何轨迹geometrical optics 几何光学geometrical vector 几何向量geometrization 几何化geometry 几何geometry of numbers 数的几何学geometry of spheres 球几何学geometry of the circle 圆几何germ 芽global analysis 整体分析global convergence 整体收敛global differential geometry 整体微分几何global existence 整体存在global limit theorem 整体极限定理global lipschitz condition 整体利普希茨条件global lipschitz constant 全局利普希茨常数global mapping 整体映射global property 整体性质globe 球globular 球的gluing theorem 胶合定理gnomon 磬折形gnomonic projection 心射图法godel number 哥德尔数golden cut algorithm 黄金分割算法golden section 黄金分割goniometer 量角计goniometry 测角术good reduction 好约化goodness of fit 拟合良度gorenstein ring 戈伦斯坦环grade 百分度gradient 梯度gradient method 梯度法gradient of scalar field 纯量场的梯度graduation 修均法gram schmidt orthogonalization 格兰姆施密特正交化法gramian 格兰姆行列式gramian matrix 格兰姆矩阵grand average 总平均grand total 总计graph 图graph coloring 图色graph of an equation 方程的图graph of function 函数的图graph of operator 算子的图graph theory 图论graphic integration 图解积分法graphic method 图示法graphic representation 图示graphic solution 图解graphical calculation 图解计算法graphical differentiation 图解微分法graphical solution 图解法gravitation 引力gravitational constant 引力常数gravitational field 引力场gravity 重力great circle 大圆greater than or equal to 大于或等于greatest common divisor 最大公因子greatest common submodule 最大公共子模greatest element 最大元greatest lower bound 最大下界greek numerals 希腊数字green function 格林函数green operator 格林算子green space 格林空间green theorem 格林公式grid size 网格大小gross error 过失误差gross profit 总利润grothendieck category 格罗坦狄克范畴grothendieck group 格罗坦狄克群ground field 基域group 群group algebra 群代数group axioms 群公理group comparison 群比较group determinant 群行列式group element 群元素group extension 群扩张group factor 群因子group factor model 群因子模型group frequency 群频率group mean 群平均group object 群对象group of automorphisms 自同构群group of coefficients 系数群group of homomorphisms 同态群group of isotropy 迷向群group of linear transformations 线性变换群group of motions 运动群group of movements 运动群group of n cycles n循环群group of points 点群group of quotients 商群group of similarity transformations 相似变换群group operation 群运算group scheme 群概型group space 群空间group theory 群论group variety 群簇group velocity 群速度group without torsion 非挠群grouped data 分类资料grouped sample unit 分类样本单位grouping 分类groupoid 广群grouptheoretical 群论的growth 增长growth curve 增长曲线growth function 生长函数growth law 增长律growth rate 增长率gudermannian 古得曼行列式guldin rule 古尔丁法则gyration radius 回转半径数学专业英语词汇(G) 相关内容:。
英汉翻译:心理学术语

感觉记忆(SM)—sensory memory短期记忆(STM)—short-term M。
长期记忆(LTM)—long-term memory复诵——rehearsal预示(激发)——priming童年失忆症——childhood amnesia视觉编码(表征)——visual code(representation)听觉编码—acoustic code运作记忆——working memory语意性知识—semantic knowledge记忆扫瞄程序—memory scanning procedure竭尽式扫瞄程序-exhaustive S.P。
自我终止式扫瞄—self-terminated S。
程序性知识—procedural knowledge命题(陈述)性知识——propositional(declarative)knowledge 情节(轶事)性知识—episodic K。
讯息处理深度—depth of processing精致化处理—elaboration登录特殊性—coding specificity记忆术—mnemonic位置记忆法—method of loci字钩法—peg word(线)探索(测)(激发)字—prime关键词——key word命题思考——propositional thought心像思考——imaginal thought行动思考——motoric thought概念——concept原型——prototype属性——property特征——feature范例策略——exemplar strategy语言相对性(假说)—linguistic relativity th。
音素——phoneme词素——morpheme(字词的)外延与内涵意义—denotative & connotative meaning (句子的)表层与深层结构—surface & deep structure语意分析法——semantic differential全句语言—holophrastic speech过度延伸——over-extension电报式语言—telegraphic speech关键期——critical period差异减缩法——difference reduction方法目的分析——means-ends analysis倒推——working backward动机——motive自由意志——free will决定论——determinism本能——instinct种属特有行为——species specific驱力——drive诱因——incentive驱力减低说——drive reduction th。
Academic_vocabulary

ACADEMIC VOCABULARY1. Neutral vs academicIn writing, academics use rather formal expressions uncommon in everyday language.NEUTRAL FORMAL NEUTRAL FORMALin short, briefly in sum, to sum up only solelybasically essentially mainly, mostly primarilyalmost, more or less virtually try attempt2. Nouns referring to ideas and phenomena(environmental) issues, (Darwin’s) theory, the model of (how elements relate to each other), the nature of(intelligence), the principle(of least effort), the pattern(of results), a feature(of the new SW), beyond the scope of (this essay), perspectives/views on, research into, (new) approach to3. Verbs for structuring academic problemsdiscuss (a problem), investigate (attitudes), illustrate (a point), conduct (a set of experiments), consider (advantages and disadvantages), analyse (recent events), demonstrate (the ability),identify (constants and variables), support or challenge (a statement), examine (the situation), provide (statistical evidence), include (a discussion), affect (growth), develop (methods), establish (the quality of), account for (the decrease), present (data), approach (a problem), describe (the situation), explore (the relationship between), emphasise (the importance of training)4. AdjectivesA.+prepositions: relative, relevant, specific, common, appropriate to, characteristic, typical ofA.-opposites:abstract (problem) x concrete (examples), simple (issue) x complex (circumstances), accurate (picture) x inaccurate (assessments), rough (estimates) x precise (calculations) specific (problem) x general (terms)A.-combinations with nouns:apparent (discrepancy), potential (problem), principal (cause), rigourous (methodology)5. Adverbscomparatively/relatively,especially/particularly, primarily, mostly/largely, directly-indirectly, somewhat-considerably, essentially, approximately-precisely, rarely-frequently, eventually (in the end, after some time), ultimately (finally, after other steps have been completed), generally-specifically, merely, hardly ever, simply (plainly, easily or absolutely, undoubtedly)6. Phrasal verbsoften have one-word synonyms, which are usually of Latin origin and are more formal than their phrasal verb equivalents but both are appropriate when writing or speaking about academic subjects. Vary your language by using both.PHRASAL VERB SYNONYM PHRASAL VERB SYNONYMput forward (a theory) present, propose point up highlightcarry out (research) conduct set out (to do sth) aimmake up constitute set out describeBe made up of consist of go into discusspoint out observe go against not be in agreement with7. Nouns and the words they combine withN. + adjectivescontact – useful, valuable, personal, constant, close, frequent, intermittentdebate – considerable, heated, intense, public, animatedelements – crucial, decisive, fundamental, conflicting, constituentphenomenon – common, isolated, natural, recent, universalresults – conflicting, in/conclusive, unforeseen, preliminary, encouragingrole – decisive, challenging, influential, key, majorsample – random, representativein... terms – absolute, relative, general, practicalway – alternative, efficient, practical, convenient, proper, acceptableN. + verbscontact – come into c. with, establish, maintain, break off, losedebate – engage in, contribute to, d. surrounding an issueelements – combine, differentiate, discern,phenomena – observe, investigate, explainresults – collect, question, invalidate, falsify, publishrole – define, strenghten, play, take onsample – take, provide, analyseway – discover, devise, work out, develop8. Adjectives + nounsAdjectives of importance + nounsimportant – aspect, contribution, difference, implications, point, question, reason, element significant – increase, reduction, number, proportionmajor/minor - role, changes, problem, factor, issue, concern, difference, theme, contribution, pointenormous/considerable – amount, expansion, number, range, diversity, differnece, variation, extent, degree, impact, power, influence, significance, interestparticular – interest, attention, significance, importance, concernAdjectives of frequency + nounsWidespread – belief, acceptance, support, opposition, assumption, use.Common (frequent) – experience, practice, use, concern(shared) – knowledge, ground, feature, interestSpecific – context, information, case, type, form, purpose, characteristics, conditions, example. Other adjective + noun combinationsInevitable combines with words relating to results or changes – consequence, outcome, collapse, decline, conflict, effect, developmentsExplicit combines with words relating to how things are presented – reference, statements, comparison, account, mentionRelevant combines with words relating to evidence – data, documents, information, details, factors 9. Verbs + nouns + adverbsVerb Noun Adverbsto be based on research, theory, story,mainly, partly, looselyhypothesisto associate with word, idea, theorem, term generally,commonly, invariablyto discuss idea, problem, issue, question,at length, briefly, thoroughlytopic, themeto establish relationship, connection firmly, clearly, conclusivelyto examine facts, evidence, effects, aspects briefly, critically, thoroughlyclearly, convincinglyto demostrate existence, need, effects,importanceclearly, correctly, closelyto identify causes, factors, issues,properties, needs, approach,origin10. Prepositional phrasesIN conjuction, in comparison, in line with; in general, in particular; in addition to, in spite of, in terms of; in some ways, in turn, in most respects;ON the whole, on the one hand ... on the other hand; on the basis of, on behalf ofw ith the exception of; as a result (of), at this point/stage; for the most part11. Verbs + prepositionsto draw, comment, concentrate, focus, rely/rest onto be exposed, attributed, traced, to amount, attend (deal with, give one’s attention) toto associate, provide, couple, equip withto depart, benefit, exclude fromto write, speak of (rather formal), convince, dispose ofto account search, call argue for12. Nouns + prepositionsbook, article, essay, lecture, project, assignment about, onresearch, investigation, insight, inquiry intoanalysis, examination, exploration, study, issue ofproblem, difficulty of, withreason, motivation, rationale forlook, attempt atchanges, differences, increase, decrease ininfluence, emphasis, effect onbasis, idea, lack, means ofreason, need, basis, case, preference forrelation, approach, response, attention toattitude, tendency, move, progress to/towardsprinciple, assumptions, rationale, logic behindrelationship, difference, distinction between13. Referring to source materialsThe… literature suggests that, the … draws its data from/draws primarily on, several secondary sources were also consulted, … proved a valuable resource, I also surveyed the literature on, I directly/indirectly cite those works which, an extensive body of literature exists on, as noted, is often attributed to, …. Is dealt with in, … is treated separately from the main body of…14. Degrees of certaintyBeing tentativeThere is some evidence that…, it can be argued that…, it may not be the case that…, it would seem/appear that…, we can presume that…, there seems/appears to be some evidence that…, we can draw the tentative conclusion that…It is true or almost trueIt is undoubtedly true that…, it is, of course…, it is evident that…, the research will probably lead to…, there is a tendency for…, there is every likelihood that…The writer is unsure… has allegedly come to some…conclusions, … is reportedly…15. Criticism of/ reference to an author… asserts/claims/believes that, in his/her view, … touches on, … calls for,… underestimates/overestimates, ignores, … is not persuasive, … does not ring true, worse, the evidence is … at best16. Organizing your writingWorking through a list of different things – firstly, secondly, thirdly, next, lastly/finally Changing topic/bringing in new points / we now/ let us (now) turn toReferring forward – below, in the next section, later,Referring back - above, in the preceding section, earlier, as we have seenReferring to examples, diagrams, pages / as can bee seen, see, for exampleSource: McCarthy, Michael, O’Dell, Felicity. Academic Vocabulary in Use. Cambridge: Cambridge University Press, 2008。
spss中英文对照表

SPSS软件功能中英文对照Absolute deviation, 绝对离差Absolute number, 绝对数Absolute residuals, 绝对残差Acceleration array, 加速度立体阵Acceleration in an arbitrary direction, 任意方向上的加速度Acceleration normal, 法向加速度Acceleration space dimension, 加速度空间的维数Acceleration tangential, 切向加速度Acceleration vector, 加速度向量Acceptable hypothesis, 可承受假设Accumulation, 累积Accuracy, 准确度Actual frequency, 实际频数Adaptive estimator, 自适应估计量Addition, 相加Addition theorem, 加法定理Additivity, 可加性Adjusted rate, 调整率Adjusted value, 校正值Admissible error, 容许误差Aggregation, 聚集性Alternative hypothesis, 备择假设Among groups, 组间Amounts, 总量Analysis of correlation, 相关分析Analysis of covariance, 协方差分析Analysis of regression, 回归分析Analysis of time series, 时间序列分析Analysis of variance, 方差分析Angular transformation, 角转换ANOVA 〔analysis of variance〕, 方差分析ANOVA Models, 方差分析模型Arcing, 弧/弧旋Arcsine transformation, 反正弦变换Area under the curve, 曲线面积AREG , 评估从一个时间点到下一个时间点回归相关时的误差ARIMA, 季节和非季节性单变量模型的极大似然估计Arithmetic grid paper, 算术格纸Arithmetic mean, 算术平均数Arrhenius relation, 艾恩尼斯关系Assessing fit, 拟合的评估Associative laws, 结合律Asymmetric distribution, 非对称分布Asymptotic bias, 渐近偏倚Asymptotic efficiency, 渐近效率Asymptotic variance, 渐近方差Attributable risk, 归因危险度Attribute data, 属性资料Attribution, 属性Autocorrelation, 自相关Autocorrelation of residuals, 残差的自相关Average, 平均数Average confidence interval length, 平均置信区间长度Average growth rate, 平均增长率Bar chart, 条形图Bar graph, 条形图Base period, 基期Bayes' theorem , Bayes定理Bell-shaped curve, 钟形曲线Bernoulli distribution, 伯努力分布Best-trim estimator, 最好切尾估计量Bias, 偏性Binary logistic regression, 二元逻辑斯蒂回归Binomial distribution, 二项分布Bisquare, 双平方Bivariate Correlate, 二变量相关Bivariate normal distribution, 双变量正态分布Bivariate normal population, 双变量正态总体Biweight interval, 双权区间Biweight M-estimator, 双权M估计量Block, 区组/配伍组BMDP(Biomedical puter programs), BMDP 统计软件包Boxplots, 箱线图/箱尾图Breakdown bound, 崩溃界/崩溃点Canonical correlation, 典型相关Caption, 纵标目Case-control study, 病例对照研究Categorical variable, 分类变量Catenary, 悬链线Cauchy distribution, 柯西分布Cause-and-effect relationship, 因果关系Cell, 单元Censoring, 终检Center of symmetry, 对称中心Centering and scaling, 中心化和定标Central tendency, 集中趋势Central value, 中心值CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测Chance, 机遇Chance error, 随机误差Chance variable, 随机变量Characteristic equation, 特征方程Characteristic root, 特征根Characteristic vector, 特征向量Chebshev criterion of fit, 拟合的切比雪夫准如此Chernoff faces, 切尔诺夫脸谱图Chi-square test, 卡方检验/χ2检验Choleskey deposition, 乔洛斯基分解Circle chart, 圆图Class interval, 组距Class mid-value, 组中值Class upper limit, 组上限Classified variable, 分类变量Cluster analysis, 聚类分析Cluster sampling, 整群抽样Code, 代码Coded data, 编码数据Coding, 编码Coefficient of contingency, 列联系数Coefficient of determination, 决定系数Coefficient of multiple correlation, 多重相关系数Coefficient of partial correlation, 偏相关系数Coefficient of production-moment correlation, 积差相关系数Coefficient of rank correlation, 等级相关系数Coefficient of regression, 回归系数Coefficient of skewness, 偏度系数Coefficient of variation, 变异系数Cohort study, 队列研究Column, 列Column effect, 列效应Column factor, 列因素bination pool, 合并binative table, 组合表mon factor, 共性因子mon regression coefficient, 公共回归系数mon value, 共同值mon variance, 公共方差mon variation, 公共变异munalityvariance, 共性方差parability, 可比性parison of bathes, 批比拟parison value, 比拟值partment model, 分部模型passion, 伸缩plement of an event, 补事件plete association, 完全正相关plete dissociation, 完全不相关plete statistics, 完备统计量pletely randomized design, 完全随机化设计posite event, 联合事件posite events, 复合事件Concavity, 凹性Conditional expectation, 条件期望Conditional likelihood, 条件似然Conditional probability, 条件概率Conditionally linear, 依条件线性Confidence interval, 置信区间Confidence limit, 置信限Confidence lower limit, 置信下限Confidence upper limit, 置信上限Confirmatory Factor Analysis , 验证性因子分析Confirmatory research, 证实性实验研究Confounding factor, 混杂因素Conjoint, 联合分析Consistency, 相合性Consistency check, 一致性检验Consistent asymptotically normal estimate, 相合渐近正态估计Consistent estimate, 相合估计Constrained nonlinear regression, 受约束非线性回归Constraint, 约束Contaminated distribution, 污染分布Contaminated Gausssian, 污染高斯分布Contaminated normal distribution, 污染正态分布Contamination, 污染Contamination model, 污染模型Contingency table, 列联表Contour, 边界限Contribution rate, 贡献率Control, 对照Controlled experiments, 对照实验Conventional depth, 常规深度Convolution, 卷积Corrected factor, 校正因子Corrected mean, 校正均值Correction coefficient, 校正系数Correctness, 正确性Correlation coefficient, 相关系数Correlation index, 相关指数Correspondence, 对应Counting, 计数Counts, 计数/频数Covariance, 协方差Covariant, 共变 Cox Regression, Cox回归Criteria for fitting, 拟合准如此Criteria of least squares, 最小二乘准如此Critical ratio, 临界比Critical region, 拒绝域Critical value, 临界值Cross-over design, 交叉设计Cross-section analysis, 横断面分析Cross-section survey, 横断面调查Crosstabs , 交叉表Cross-tabulation table, 复合表Cube root, 立方根Cumulative distribution function, 分布函数Cumulative probability, 累计概率Curvature, 曲率/弯曲Curvature, 曲率Curve fit , 曲线拟和 Curve fitting, 曲线拟合Curvilinear regression, 曲线回归Curvilinear relation, 曲线关系Cut-and-try method, 尝试法Cycle, 周期Cyclist, 周期性D test, D检验Data acquisition, 资料收集Data bank, 数据库Data capacity, 数据容量Data deficiencies, 数据缺乏Data handling, 数据处理Data manipulation, 数据处理Data processing, 数据处理Data reduction, 数据缩减Data set, 数据集Data sources, 数据来源Data transformation, 数据变换Data validity, 数据有效性Data-in, 数据输入Data-out, 数据输出Dead time, 停滞期Degree of freedom, 自由度Degree of precision, 精细度Degree ofreliability, 可靠性程度Degression, 递减Density function, 密度函数Density of data points, 数据点的密度Dependent variable, 应变量/依变量/因变量Dependent variable, 因变量Depth, 深度Derivative matrix, 导数矩阵Derivative-free methods, 无导数方法Design, 设计Determinacy, 确定性Determinant, 行列式Determinant, 决定因素Deviation, 离差Deviation from average, 离均差Diagnostic plot, 诊断图Dichotomous variable, 二分变量Differential equation, 微分方程Direct standardization, 直接标准化法Discrete variable, 离散型变量DISCRIMINANT, 判断Discriminant analysis, 判别分析Discriminant coefficient, 判别系数Discriminant function, 判别值Dispersion, 散布/分散度Disproportional, 不成比例的Disproportionate sub-class numbers, 不成比例次级组含量Distribution free, 分布无关性/免分布Distribution shape, 分布形状Distribution-free method, 任意分布法Distributive laws, 分配律Disturbance, 随机扰动项Dose response curve, 剂量反响曲线Double blind method, 双盲法Double blind trial, 双盲试验Double exponential distribution, 双指数分布Double logarithmic, 双对数Downward rank, 降秩Dual-space plot, 对偶空间图DUD, 无导数方法Duncan's new multiple range method, 新复极差法/Duncan新法Effect, 实验效应Eigenvalue, 特征值Eigenvector, 特征向量Ellipse, 椭圆Empirical distribution, 经验分布Empiricalprobability, 经验概率单位Enumeration data, 计数资料Equal sun-class number, 相等次级组含量Equally likely, 等可能Equivariance, 同变性Error, 误差/错误Error of estimate, 估计误差Error type I, 第一类错误Error type II, 第二类错误Estimand, 被估量Estimated error mean squares, 估计误差均方Estimated error sum of squares, 估计误差平方和Euclidean distance, 欧式距离Event, 事件Event, 事件Exceptional data point, 异常数据点Expectation plane, 期望平面Expectation surface, 期望曲面Expected values, 期望值Experiment, 实验Experimental sampling, 试验抽样Experimental unit, 试验单位Explanatory variable, 说明变量Exploratory data analysis, 探索性数据分析Explore Summarize, 探索-摘要Exponential curve, 指数曲线Exponential growth, 指数式增长EXSMOOTH, 指数平滑方法Extended fit, 扩大拟合Extra parameter, 附加参数Extrapolation, 外推法Extreme observation, 末端观测值Extremes, 极端值/极值 F distribution, F分布 F test, F检验Factor, 因素/因子Factor analysis, 因子分析Factor Analysis, 因子分析Factor score, 因子得分Factorial, 阶乘Factorial design, 析因试验设计False negative, 假阴性False negative error, 假阴性错误Family of distributions, 分布族Family of estimators, 估计量族Fanning, 扇面Fatality rate, 病死率Field investigation, 现场调查Field survey, 现场调查Finitepopulation, 有限总体Finite-sample, 有限样本First derivative, 一阶导数First principal ponent, 第一主成分First quartile, 第一四分位数Fisher information, 费雪信息量Fitted value, 拟合值Fitting a curve, 曲线拟合Fixed base, 定基Fluctuation, 随机起伏Forecast, 预测Four fold table, 四格表Fourth, 四分点Fraction blow, 左侧比率Fractional error, 相对误差Frequency, 频率Frequency polygon, 频数多边图Frontier point, 界限点Function relationship, 泛函关系Gamma distribution, 伽玛分布Gauss increment, 高斯增量Gaussian distribution, 高斯分布/正态分布Gauss-Newton increment, 高斯-牛顿增量General census, 全面普查GENLOG (Generalized liner models), 广义线性模型Geometric mean, 几何平均数Gini's mean difference, 基尼均差GLM (General liner models), 一般线性模型 Goodness of fit, 拟和优度/配合度Gradient of determinant, 行列式的梯度Graeco-Latin square, 希腊拉丁方Grand mean, 总均值Gross errors, 重大错误Gross-error sensitivity, 大错敏感度Group averages, 分组平均Grouped data, 分组资料Guessed mean, 假定平均数Half-life, 半衰期Hampel M-estimators, 汉佩尔M估计量Happenstance, 偶然事件Harmonic mean, 调和均数Hazard function, 风险均数Hazard rate, 风险率Heading, 标目Heavy-tailed distribution, 重尾分布Hessian array, 海森立体阵Heterogeneity, 不同质Heterogeneity of variance, 方差不齐Hierarchical classification, 组内分组Hierarchical clustering method, 系统聚类法High-leverage point, 高杠杆率点HILOGLINEAR, 多维列联表的层次对数线性模型Hinge, 折叶点Histogram, 直方图Historical cohort study, 历史性队列研究Holes, 空洞HOMALS, 多重响应分析Homogeneity of variance, 方差齐性Homogeneity test, 齐性检验Huber M-estimators, 休伯M 估计量Hyperbola, 双曲线Hypothesis testing, 假设检验Hypothetical universe, 假设总体Impossible event, 不可能事件Independence, 独立性Independent variable, 自变量Index, 指标/指数Indirect standardization, 间接标准化法Individual, 个体Inference band, 推断带Infinite population, 无限总体Infinitely great, 无穷大Infinitely small, 无穷小Influence curve, 影响曲线Information capacity, 信息容量Initial condition, 初始条件Initial estimate, 初始估计值Initial level, 最初水平Interaction, 交互作用Interaction terms, 交互作用项Intercept, 截距Interpolation, 内插法Interquartile range, 四分位距Interval estimation, 区间估计Intervals of equal probability, 等概率区间Intrinsic curvature, 固有曲率Invariance, 不变性Inverse matrix, 逆矩阵Inverse probability, 逆概率Inverse sine transformation, 反正弦变换Iteration, 迭代Jacobian determinant, 雅可比行列式Joint distribution function, 分布函数Joint probability, 联合概率Jointprobability distribution, 联合概率分布K means method, 逐步聚类法Kaplan-Meier, 评估事件的时间长度 Kaplan-Merier chart, Kaplan-Merier图Kendall's rank correlation, Kendall等级相关Kinetic, 动力学Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验Kruskal and Wallis test, Kruskal与Wallis检验/多样本的秩和检验/H检验Kurtosis, 峰度Lack of fit, 失拟Ladder of powers, 幂阶梯Lag, 滞后Large sample, 大样本Large sample test, 大样本检验Latin square, 拉丁方Latin square design, 拉丁方设计Leakage, 泄漏Least favorable configuration, 最不利构形Least favorable distribution, 最不利分布Least significant difference, 最小显著差法Least square method, 最小二乘法Least-absolute-residuals estimates, 最小绝对残差估计Least-absolute-residuals fit, 最小绝对残差拟合Least-absolute-residuals line, 最小绝对残差线Legend, 图例L-estimator, L估计量L-estimator of location, 位置L估计量L-estimator of scale, 尺度L估计量Level, 水平Life expectance, 预期期望寿命Life table, 寿命表Life table method, 生命表法Light-tailed distribution, 轻尾分布Likelihood function, 似然函数Likelihood ratio, 似然比line graph, 线图Linear correlation, 直线相关Linear equation, 线性方程Linear programming, 线性规划Linear regression, 直线回归Linear Regression, 线性回归Linear trend, 线性趋势Loading, 载荷Location and scale equivariance, 位置尺度同变性Location equivariance, 位置同变性Location invariance, 位置不变性Location scale family, 位置尺度族Log rank test, 时序检验Logarithmic curve, 对数曲线Logarithmic normal distribution, 对数正态分布Logarithmic scale, 对数尺度Logarithmic transformation, 对数变换Logic check, 逻辑检查Logistic distribution, 逻辑斯特分布Logit transformation, Logit转换LOGLINEAR, 多维列联表通用模型 Lognormal distribution, 对数正态分布Lost function, 损失函数Low correlation, 低度相关Lower limit, 下限Lowest-attained variance, 最小可达方差LSD, 最小显著差法的简称Lurking variable, 潜在变量 Main effect, 主效应Major heading, 主辞标目Marginal density function, 边缘密度函数Marginal probability, 边缘概率Marginal probability distribution, 边缘概率分布Matched data, 配对资料Matched distribution, 匹配过分布Matching of distribution, 分布的匹配Matching of transformation, 变换的匹配Mathematical expectation, 数学期望Mathematical model, 数学模型Maximum L-estimator, 极大极小L 估计量Maximum likelihood method, 最大似然法Mean, 均数Mean squares between groups, 组间均方Mean squares within group, 组内均方Means (pare means), 均值-均值比拟Median, 中位数Median effective dose, 半数效量Median lethal dose, 半数致死量Median polish, 中位数平滑Median test,中位数检验Minimal sufficient statistic, 最小充分统计量Minimum distance estimation, 最小距离估计Minimum effective dose, 最小有效量Minimum lethal dose, 最小致死量Minimum variance estimator, 最小方差估计量MINITAB, 统计软件包Minor heading, 宾词标目Missing data, 缺失值Model specification, 模型确实定Modeling Statistics , 模型统计Models for outliers, 离群值模型Modifying the model, 模型的修正Modulus of continuity, 连续性模Morbidity, 发病率Most favorable configuration, 最有利构形Multidimensional Scaling (ASCAL), 多维尺度/多维标度Multinomial Logistic Regression , 多项逻辑斯蒂回归Multiple parison, 多重比拟Multiple correlation , 复相关Multiple covariance, 多元协方差Multiple linear regression, 多元线性回归Multiple response , 多重选项Multiple solutions, 多解Multiplication theorem, 乘法定理Multiresponse, 多元响应Multi-stage sampling, 多阶段抽样Multivariate T distribution, 多元T分布Mutual exclusive, 互不相容Mutual independence, 互相独立Natural boundary, 自然边界Natural dead, 自然死亡Natural zero, 自然零Negative correlation, 负相关Negative linear correlation, 负线性相关Negatively skewed, 负偏Newman-Keuls method, q检验NK method, q检验No statistical significance, 无统计意义Nominal variable, 名义变量Nonconstancy of variability, 变异的非定常性Nonlinear regression, 非线性相关Nonparametric statistics, 非参数统计Nonparametric test, 非参数检验Nonparametric tests, 非参数检验Normal deviate, 正态离差Normal distribution, 正态分布Normal equation, 正规方程组Normal ranges, 正常X围Normal value, 正常值Nuisance parameter, 多余参数/讨厌参数Null hypothesis, 无效假设 Numerical variable, 数值变量Objective function, 目标函数Observation unit, 观察单位Observed value, 观察值One sided test, 单侧检验One-way analysis of variance, 单因素方差分析Oneway ANOVA , 单因素方差分析Open sequential trial, 开放型序贯设计Optrim, 优切尾Optrim efficiency, 优切尾效率Order statistics, 顺序统计量Ordered categories, 有序分类Ordinal logistic regression , 序数逻辑斯蒂回归Ordinal variable, 有序变量Orthogonal basis, 正交基Orthogonal design, 正交试验设计Orthogonality conditions, 正交条件ORTHOPLAN, 正交设计Outlier cutoffs, 离群值截断点Outliers, 极端值OVERALS , 多组变量的非线性正规相关Overshoot, 迭代过度Paired design, 配对设计Paired sample, 配对样本Pairwise slopes, 成对斜率Parabola, 抛物线Parallel tests, 平行试验Parameter, 参数Parametric statistics, 参数统计Parametric test, 参数检验Partial correlation, 偏相关Partial regression, 偏回归Partial sorting, 偏排序Partials residuals, 偏残差Pattern, 模式Pearson curves, 皮尔逊曲线Peeling, 退层Percentbar graph, 百分条形图Percentage, 百分比Percentile, 百分位数Percentile curves, 百分位曲线Periodicity, 周期性Permutation, 排列P-estimator, P估计量Pie graph, 饼图Pitman estimator, 皮特曼估计量Pivot, 枢轴量Planar, 平坦Planar assumption, 平面的假设PLANCARDS, 生成试验的计划卡Point estimation, 点估计Poisson distribution, 泊松分布Polishing, 平滑Polled standard deviation, 合并标准差Polled variance, 合并方差Polygon, 多边图Polynomial, 多项式Polynomial curve, 多项式曲线Population, 总体Population attributable risk, 人群归因危险度Positive correlation, 正相关Positively skewed, 正偏Posterior distribution, 后验分布Power of a test, 检验效能Precision, 精细度Predicted value, 预测值Preliminary analysis, 预备性分析Principal ponent analysis, 主成分分析Prior distribution, 先验分布Prior probability, 先验概率Probabilistic model, 概率模型probability, 概率Probability density, 概率密度Product moment, 乘积矩/协方差Profile trace, 截面迹图Proportion, 比/构成比Proportion allocation in stratified random sampling, 按比例分层随机抽样Proportionate, 成比例Proportionate sub-class numbers, 成比例次级组含量Prospective study, 前瞻性调查Proximities, 亲近性 Pseudo F test, 近似F检验Pseudo model, 近似模型Pseudosigma, 伪标准差Purposive sampling, 有目的抽样QR deposition, QR分解Quadraticapproximation, 二次近似Qualitative classification, 属性分类Qualitative method, 定性方法Quantile-quantile plot, 分位数-分位数图/Q-Q图Quantitative analysis, 定量分析Quartile, 四分位数Quick Cluster, 快速聚类Radix sort, 基数排序Random allocation, 随机化分组Random blocks design, 随机区组设计Random event, 随机事件Randomization, 随机化Range, 极差/全距Rank correlation, 等级相关Rank sum test, 秩和检验Rank test, 秩检验Ranked data, 等级资料Rate, 比率Ratio, 比例Raw data, 原始资料Raw residual, 原始残差Rayleigh's test, 雷氏检验Rayleigh's Z, 雷氏Z值Reciprocal, 倒数Reciprocal transformation, 倒数变换Recording, 记录Redescending estimators, 回降估计量Reducing dimensions, 降维Re-expression, 重新表达Reference set, 标准组Region of acceptance, 承受域Regression coefficient, 回归系数Regression sum of square, 回归平方和Rejection point, 拒绝点Relative dispersion, 相对离散度Relative number, 相对数Reliability, 可靠性Reparametrization, 重新设置参数Replication, 重复Report Summaries, 报告摘要Residual sum of square, 剩余平方和Resistance, 耐抗性Resistant line, 耐抗线Resistant technique, 耐抗技术R-estimator of location, 位置R 估计量R-estimator of scale, 尺度R估计量Retrospective study, 回顾性调查Ridge trace, 岭迹Ridit analysis, Ridit分析Rotation, 旋转Rounding, 舍入Row, 行Row effects, 行效应Row factor, 行因素RXC table, RXC表 Sample, 样本Sample regression coefficient, 样本回归系数Sample size, 样本量Sample standard deviation, 样本标准差Sampling error, 抽样误差SAS(Statistical analysis system ), SAS统计软件包Scale, 尺度/量表Scatter diagram, 散点图Schematic plot, 示意图/简图Score test, 计分检验Screening, 筛检SEASON, 季节分析 Second derivative, 二阶导数Second principal ponent, 第二主成分SEM (Structural equation modeling), 结构化方程模型Semi-logarithmic graph, 半对数图Semi-logarithmic paper, 半对数格纸Sensitivity curve, 敏感度曲线Sequential analysis, 贯序分析Sequential data set, 顺序数据集Sequential design, 贯序设计Sequential method, 贯序法Sequential test, 贯序检验法Serial tests, 系列试验Short-cut method, 简捷法 Sigmoid curve, S形曲线Sign function, 正负号函数Sign test, 符号检验Signed rank, 符号秩Significance test, 显著性检验Significant figure, 有效数字Simple cluster sampling, 简单整群抽样Simple correlation, 简单相关Simple random sampling, 简单随机抽样Simple regression, 简单回归simple table, 简单表Sine estimator, 正弦估计量Single-valued estimate, 单值估计Singular matrix, 奇异矩阵Skewed distribution, 偏斜分布Skewness, 偏度Slash distribution, 斜线分布Slope, 斜率Smirnov test, 斯米尔诺夫检验Source of variation, 变异来源Spearman rank correlation, 斯皮尔曼等级相关Specific factor, 特殊因子Specific factor variance, 特殊因子方差Spectra , 频谱Spherical distribution, 球型正态分布Spread, 展布SPSS(Statistical package for the social science), SPSS统计软件包Spurious correlation, 假性相关Square root transformation, 平方根变换Stabilizing variance, 稳定方差Standard deviation, 标准差Standard error, 标准误Standard error of difference, 差异的标准误Standard error of estimate, 标准估计误差Standard error of rate, 率的标准误Standard normal distribution, 标准正态分布Standardization, 标准化Starting value, 起始值Statistic, 统计量Statistical control, 统计控制Statistical graph, 统计图Statistical inference, 统计推断Statistical table, 统计表Steepest descent, 最速下降法Stem and leaf display, 茎叶图Step factor, 步长因子Stepwise regression, 逐步回归Storage, 存Strata, 层〔复数〕Stratified sampling, 分层抽样Stratified sampling, 分层抽样Strength, 强度Stringency, 严密性Structural relationship, 结构关系Studentized residual, 学生化残差/t化残差Sub-class numbers, 次级组含量Subdividing, 分割Sufficient statistic, 充分统计量Sum of products, 积和Sum of squares, 离差平方和Sum of squares about regression, 回归平方和Sum of squares between groups, 组间平方和Sum of squares of partial regression, 偏回归平方和Sure event, 必然事件Survey, 调查Survival, 生存分析Survival rate, 生存率Suspended root gram, 悬吊根图Symmetry, 对称Systematic error, 系统误差Systematic sampling, 系统抽样 Tags, 标签Tail area, 尾部面积Tail length, 尾长Tail weight, 尾重Tangent line, 切线Target distribution, 目标分布Taylor series, 泰勒级数Tendency of dispersion, 离散趋势Testing of hypotheses, 假设检验Theoretical frequency, 理论频数Time series, 时间序列Tolerance interval, 容忍区间Tolerance lower limit, 容忍下限Tolerance upper limit, 容忍上限Torsion, 扰率Total sum of square, 总平方和Total variation, 总变异Transformation, 转换Treatment, 处理Trend, 趋势Trend of percentage, 百分比趋势Trial, 试验Trial and error method, 试错法Tuning constant, 细调常数Two sided test, 双向检验Two-stage least squares, 二阶最小平方Two-stage sampling, 二阶段抽样Two-tailed test, 双侧检验Two-way analysis of variance, 双因素方差分析Two-way table, 双向表Type I error, 一类错误/α错误Type II error, 二类错误/β错误UMVU, 方差一致最小无偏估计简称Unbiased estimate, 无偏估计Unconstrained nonlinear regression , 无约束非线性回归Unequal subclass number, 不等次级组含量Ungrouped data, 不分组资料Uniform coordinate, 均匀坐标Uniform distribution, 均匀分布Uniformlyminimum variance unbiased estimate, 方差一致最小无偏估计Unit, 单元Unordered categories, 无序分类Upper limit, 上限Upward rank, 升秩Vague concept, 模糊概念Validity, 有效性VARP (Variance ponent estimation), 方差元素估计Variability, 变异性Variable, 变量Variance, 方差Variation, 变异Varimax orthogonal rotation, 方差最大正交旋转Volume of distribution, 容积W test, W检验Weibull distribution, 威布尔分布Weight, 权数Weighted Chi-square test, 加权卡方检验/Cochran检验Weighted linear regression method, 加权直线回归Weighted mean, 加权平均数Weighted mean square, 加权平均方差Weighted sum of square, 加权平方和Weighting coefficient, 权重系数Weighting method, 加权法 W-estimation, W估计量W-estimation of location, 位置W估计量Width, 宽度Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验Wild point, 野点/狂点Wild value, 野值/狂值Winsorized mean, 缩尾均值Withdraw, 失访 Youden's index, 尤登指数Z test, Z检验Zero correlation, 零相关Z-transformation, Z变换。
计量经济学中英文词汇对照

Common variance Common variation Communality variance Comparability Comparison of bathes Comparison value Compartment model Compassion Complement of an event Complete association Complete dissociation Complete statistics Completely randomized design Composite event Composite events Concavity Conditional expectation Conditional likelihood Conditional probability Conditionally linear Confidence interval Confidence limit Confidence lower limit Confidence upper limit Confirmatory Factor Analysis Confirmatory research Confounding factor Conjoint Consistency Consistency check Consistent asymptotically normal estimate Consistent estimate Constrained nonlinear regression Constraint Contaminated distribution Contaminated Gausssian Contaminated normal distribution Contamination Contamination model Contingency table Contour Contribution rate Control
刘洪波雅思阅读同义词替换大全

Cambridge同义词替换大全(剑桥4-8) Cambridge4TEST11.ignore=paynoattention=notpayanyattention=takenonotice=nottakeanynotice忽略,无视v.2.encounter=face=confront=meet遇见,遭遇v.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.adj.22.23.24.25.26.27.volunteer=subject实验研究对象n.28.similar=resemble=like=alike相似的adj.29.blind=cannotsee瞎的adj.Cambridge4TEST21.initiative=onyourown/byyourself=independently=onyourowninitiative=underyourownsteam=tobethepersonwhostartssomething=plan=law主动的,自发的adj.主动权n.2.increase=goup=rise=grow=climb=gain=escalate=pickup=widen=beontheincrease=intensify=expand=buildup上升,增加v.3.teach=educate=train=coach=instruct=bringup教学v.4.morethanonelanguage=bilingual=sb'ssecondlanguage多种语言n.5.determine=establish=identify=pinpoint=diagnose决定v.6.youngpeople=teenager=youth=inyourteens=adolescent=minor年轻人n.munity=allthepeopleinaparticulararea,city,countryetc.群体,团体,社区n.8.traditional=old-fashioned=outdated=outmoded=unfashionable传统的adj.9.fail=failure=notsucceed=unsuccessful=vain=fruitless=unproductive=beafailure=gowrong=notwork=donogood=fallthrough失败v.10.endanger=toputsomeoneorsomethingindangerofbeinghurt=damaged=destroyed危及,使危险v.11.diverse=varied=variety=wide-ranging=mixed各种各样的adj.12.inevitable=certaintohappenandimpossibletoavoid不可避免的adj.13.differfrom=unusual与…不同v.14.adj.15.16.17.18.19.20.21.22.23.24.有益25.26.27.28.29.30.31.32.33.34.c35.defensive=usedorintendedtoprotectsomeoneorsomethingagainstattack?防御n.36.strategy=way=method=approach=technique=system=tactics方法,功略n.37.assist=help=aid=withtheaidof帮助v.38.specific=give(somebody)moredetails=expandon=enlargeon=gointomore=greaterdetail=bemorespecific=bemoreexplicit=elaborate特定的adj.39.substance=aparticulartypeofsolid,liquid,orgas物质n.40.surroundings=environment=circumstance环境n.41.engage=givesomebodyajob=employ=takeon=appoint=recruit=signup雇佣v.bine=mix=stir=beat=blend=whisk=dilute联合v.43.survival=thestateofcontinuingtoliveorexist幸存n.Cambridge4TEST31.quotation=asentenceorphrasefromabook,speechetcwhichyourepeatinaspeechorpieceofwritingbecauseitisinterestingoramusing引言n.2.exemplify=example=case=instance=tobeaverytypicalexampleofsomething=togiveanexampleofsomething例证v.3.explain=tell=saywhat/why/whereetc=show=demonstrate=gothrough=throw/shedlighton=setout解释v.4.outline=todescribesomethinginageneralway,givingthemainpointsbutnotthedetails概述v.5.purpose=aim=point=idea=objective=object=goal=target=end目的n.6.encourage=persuade=persuasion=getsomebodytodosomething=influence=encourage=talksomebodyinto=putsomebodyupto鼓励v.7.8.9.10.11.12.13.14.15.16.17.特18.19.20.21.22.气23.24.25.26.emerge=appear=becomevisible=comeintoview/comeintosight=comeout=reappear出现v.27.emit=tosendoutgas,heat,light,soundetc发出,放射n.28.situation=circumstances=position=case=plight情况,状况n.29.self-conscious=worriedandembarrassedaboutwhatyoulooklikeorwhatotherpeoplethinkofyou自觉的n.30.generate=tomakesomeonehaveaparticularfeeling=form=produce=create产生v.31.various=thereareseveraldifferenttypesofthatthing=different=avarietyofsomething=differing=varying=anassortmentofsomething=assorted=amixofsomething=amixtureofsomething各种各样的adj.32.convenient=athingorwayofdoingsomethingthatiseasyandquick;atimeorarrangementthatisconvenient方便的adj.33.objective=impartial=neutral=nottakesides=unbiased=disinterested客观的adj.34.enquiry=investigate=makeinquiries/enquiries=gointo=probe=lookinto=solve=beunderinvestigation调查35.observe=notice=cansee/cantell=see=spot=detect=notebecomeaware/conscious=catch?somebody'seye=perceive观察v.ment=remark=thingtosay=point=statement=announcement=declaration=observation评论37.include=consistof=comprise=becomposedof=bemadeupof包含,包括v.38.focuson=dealsonlywith=concentrate专注于v.39.affect=haveaneffect=haveanimpact=takeeffect=makeadifference=impact影响v.40.41.1.2.3.4.5.6.7.8.9.10.n.11.12.13.14.15.v.16.ancient=belongingtoatimelongagoinhistory,especiallythousandsofyearsago古老的adj.17.realistic=whenpictures,filmsetcmakethingsseemreal=lifelike=realism=truetolife=vivid实际的,现实的18.field=area=branch=world=domain=realm=sphere领域n.19.document=apieceofpaperthathasofficialinformationonit;apieceofwrittenworkthatisstoredonacomputer文件n.20.equal=thesameinnumber,amount,leveletcassomethingelse平等的adj.21.influence=effect=sideeffect=impact=whatsomethingdoesto=theimplications影响n.22.behavior=manner=conduct=behave=well-behaved=good=beonyourbest=stayoutoftrouble行为n.pare=toexamineorjudgetwoormorethingsinordertoshowhowtheyaresimilartoordifferentfromeachother=liken=makeacomparison=drawananalogy=drawaparallel=contrast?比较v.24.economically=inawaythatisrelatedtosystemsofmoney,trade,orbusiness经济上地adv.25.establish=determine=identify=pinpoint=diagnose=tostartanewbusinessororganization.建立新的生意/组织v.26.sustainable=abletocontinuewithoutcausingdamagetotheenvironment;abletocontinueforalongtime可持续的adj.27.realize=know=be/becomeaware=cantell=appreciate=beconscious=knowperfectlywell=know/learnfromexperience意识到v.28.limit=restrict=set/impose/putalimit=keepto/keepwithin=confine=fix限制29.produce=form=create=generate生产v.30.v.31.32.33.34.35.1.2.3.4.5.6.增7.8.9.表明,10.11.12.13.distraction=somethingthatstopsyoupayingattentiontowhatyouaredoing分心的事物n.14.fault=defect=problem=trouble=flaw=weakness=bug=virus=besomethingwrongwith错误,缺点15.cornerstone=basis=foundation=thekey基石n.16.confer=award=present=grant=allocate给予v.17.stability=theconditionofbeingsteadyandnotchanging稳定n.18.prevail=win=comeoutontop=prevail=carrytheday流行,获胜v.19.contract=agreement=understanding=compromise合约n.20.grant=award=present=confer=allocate给予v.21.fascinate=ifsomeoneorsomethingfascinatesyou,youareattractedtothemandthinktheyareextremelyinteresting吸引,使着迷v.22.disturb=interrupt=bother=distract=putsomebodyoff打扰v.23.expect=think=anticipate预期,期待v.24.psychology=thestudyofthemindandhowitinfluencespeople'sbehavior心理学n.25.obey=complywith=abideby=keepto=sticktotherules=conformto=observe=respect=toetheline=gobythebook/dosomethingbythebook服从,顺从v.26.identity=someone'sidentityistheirnameorwhotheyare身份n.27.severity=usedofthedegreeofsomethingundesirable严重性n.28.unfold=open=happen=develop=expand展开,发生v.29.deliberately=intentionally=onpurpose=purposely故意地adv.30.moral=relatingtotheprinciplesofwhatisrightandwrongbehavior,andwiththedifferencebetweengoodandevil道德上的,与道德有关的adj.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.安48.49.50.51.postpone=putback=delay=adjourn延期,推迟v.52.crucial=important=critical=vital=necessary=essential?至关重要的adj.53.pessimistic=expectingthatbadthingswillhappeninthefutureorthatsomethingwillhaveabadresult=gettingworse悲观的adj.54.attempt=purpose=order=effort尝试,努力Cambridge5TEST21.similar=like=resemble相似的adj.2.derive=originate=comefrom=stemfrom起源v.3.impetus=momentum=stimulus=incentive=motivation=encouragement动机,动力n.4.generate=produce=bringintoexistence=make=manufacture产生v.5.couplewith=and=accompany=with伴随v.6.factor=reason=element=component=ingredient因素n.7.unique=havethedistinction=distinct=different=extraordinary=special独特的adj.8.advance=progress=development=growth=increase进步n.9.field=domain=territory=industry=sector领域n.10.alternative=substitute=replacement替代物n.11.like=suchas=forexample=forinstance例如12.resource=material=source资源,来源n.13.limited=restricted=exhaustible=finite有限的adj.14.involve=relyon=contain=comprise包含,牵涉v.15.current=modern=recent=present最近的adj.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.n.31.32.33.34.35.36.37.38.39.40.whereas=however=while=nevertheless=but=yet然而,但是adv.Cambridge5TEST31.outcome=product=result=conclusion=consequence结果,后果n.2.overcome=win=getover=exceed克服,战胜v.3.insufficient=deficient=shortage=lack=scarcity不足的adj.4.supply=provide=furnish=give提供v.unch=release=project=send=shot=emit开始,投放v.6.suppose=expect=imagine=guess=speculate=think猜想,设想v.7.detect=perceive=explore=sense发觉,觉察v.8.handicap=difficult=obstacle=hindrance=bar=deterrent障碍,困难n.9.peer=thepeoplewhoareatthesameageasyou,orwhohavethesametypeofjob,socialclassetc.同龄人,伙伴n.10.positive=optimistic=uplifting?积极的adj.11.administer=manage=conduct=implement=perform执行,管理v.12.funding=money=funds=financialresource资金,基金n.13.interact=ifpeopleinteractwitheachother,theytalktoeachother,worktogetheretc.互动v.14.irrigation=thesupplementoflandorcropswithwater灌溉n.15.sedimentation=thenaturalprocessbywhichsmallpiecesofrock,earthetcsettleatthebottomoftheseaetcandformasolidlayer积淀n.16.interrupt=break=violate=cutin打断,打扰v.17.process=procedure=method=approach过程n.18.19.20.21.v.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.1.2.3.remote=distant遥远的adj.4.require=desire=order=command要求v.5.inhabitant=resident=dweller居住者,居民n.6.consequently=thus=accordingly=hence=therefore=asaresult?结果,因此adv.7.destination=goal=endpoint=terminus目的地n.8.throughout=around=wholly=everywhere=end-to-end自始至终,到处,全部adv.9.operate=act=run运转v.10.output=product输出,产品n.11.decline=reduction=fall=slump=decrease=recession下降n.12.undermine=destroy=damage=hurt=ruin破坏v.13.revive=renaissance复兴v.14.unusual=rare=strange=uncommon罕见的,不寻常的adj.15.ordinary=standard=common=usual=general普通的,平常的adj.16.fragment=shard=debris=pieces=ruins碎片n.17.break=shatter=crack打碎,打破v.18.interior=innerlayer=inside内部的n.&adj.19.insist=claim=argue=believe=think坚持,坚称v.20.expand=extend=grow=boom=spreadout=enhance扩张,扩大v.21.suppress=control=restrain=repress=putdown=oppress=inhibit=ban=forbid=stifle压制v.22.speedup=increasespeed=quickenup=acceleratespeed加速v.23.examine=analyse=survey=inspect=study=detect=investigate检查,调查v.24.25.26.27.28.29.30.31.32.33.34.35.1.2.3.4.5.6.7.8.9.10.11.12.13.trade=economy贸易n.14.transport=importorexport=deliver运输v.15.local=domestic=native=indigenous当地的adj.16.weakening=less=reduced=decreased下降的adj.17.value=worth=price=credit=use=benefit=profit价值n.18.delivery=exportorimport运输n.19.nearbynations=geographicneighbours近邻n.20.international=ocean=global=worldwide国际的adj.21.shipping=freight船运n.22.cargo=freight=goods货物n.23.tariff=charge=fee=tax税费n.ndscape=environment=nature=surrounding=circumstance=view风景n.25.difficult=harsh=demanding=tough=challenging困难的adj.26.essentialsupplies=foodandclothing=necessities必需品n.27.supply=provision=support供给n.28.grow=increase=rise=improve=goup=boost=expand=extend增长v.29.respect=credibility=weight=hour=admiration=consideration尊重n.30.understanding=knowledge了解n.31.well-being=health健康n.32.impossible=outofthequestion=unlikely不可能adj.33.catch=exploit=capture抓捕v.34.35.36.37.38.39.40.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.affect=afflict=influence=change影响v.19.disease=medicalcomplain=illness病痛n.20.increase=surge=rise=gain=grow=goup=add=escalate上升v.21.link=correlation=connection=relationship关系n.22.considerable=significant=substantial=massive=marked大量的adj.23.reduction=drop=concession=fall=decrease下降n.24.elderlypeople=oldpeople老人n.25.independent=self-reliant自立的adj.26.regular=daily定期的adj.27.exercise=physicalactivity运动n.28.challenging=difficult=tough=demanding有挑战性的adj.29.decline=deteriorate=reduce=drop=decrease下降v.30.lonely=emotionallyisolated孤独的adj.31.handsignal=gesture=bodylanguage手势n.32.restricted=limited有限的adj.33.concept=abstractidea=definition定义n.34.specific=particular=detailed特定的adj.35.early=older早期的adj.36.fulfill=qualify=achieve=keep=satisfy完成v.37.sufficient=enough足够的adj.38.quantity=howmany=amount数量n.39.40.41.42.43.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.staff=employee=worker员工n.21.visible=disclosed=obvious=noticeable可见的adj.22.clericalworker=clerk书记员n.23.judge=rate=criticize=assess=evaluate=gauge=appraise评判v.24.job=work=assignment工作n.25.delay=slow=prolong=postpone=procrastinate=shelve=putoff延后v.26.growingold=ageing变老27.people=mortal=people=individual人n.28.life=lifespan生命29.chance=likelihood=fortune=hope=possibility=opportunity=risk=luck机会n.30.production=generation=output产量n.31.theory=hypothesis=guess=guesswork猜想n.32.focuson=emphasize=aimat=concentrateon集中于33.short=scarce=limited=insufficient短缺的adj.Cambridge6TEST41.drugcompany=pharmaceuticalcompany医药公司n.2.promotion=marketing营销n.3.increase=escalate=rise=goup=grow上升v.4.research=study=survey=investigation研究n.5.work=beaneffectiveway=beuseful=help=achieve=succeed=haveaneffect=happen=turnout奏效v.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.1.2.3.dieout=extinct=disappear=nolongerexist灭绝v.4.hunt=searchfor=lookfor=trytofind=insearchof打猎v.5.limb=armorleg=body=organ四肢n.6.perceive=sense=see=spot=becomeawareof=observe感知,感觉v.7.calculate=measure=workout=figure=estimate=access计算v.8.detection=finding=observation探测n.9.coin=invent=make=create=comeupwith发明,创造v.10.inaccurate=incorrect=wrong=misleading不精确的adj.11.revision=change=shift=reform=alteration改进n.12.downward=fall=drop=downhill下降的adj.13.increasing=soaring=growing=rising上升的adj.14.primarily=mainly=largely=chiefly=principally主要地adv.15.dueto=becauseof=asaresultof=thanksto=owingto因为16.decrease=reduce=fall=drop下降v.17.radical=nottraditional=new=unconventional激进的adj.18.priorto=beforehand=before=inadvance=ontheeveof之前19.demanding=difficult=hard=challenging=tough要求高的,艰难的adj.20.wellknown=notorious=famous=renowned着名的adj.21.admit=acknowledge=confess=totellthetruth承认v.22.besimilarto=like=resemble=beararesemblanceto=akinto相似v.23.resultin=leadto=cause=giveriseto=bringabout引发,导致24.25.26.27.28.29.30.31.32.33.34.35.1.2.3.4.5.6.7.8.9.10.11.12.13.deteriorate=getworse=godown=decline变坏v.14.recognize=know=identify=pickout认出v.15.conclude=summarize=cometo/reachtheconclusion得出结论v.16.adaptto=getusedto=becomeaccustomedto=adjustto适应v.17.initiate=start=launch=open=setinmotion开始,发起v.18.referto=mention=alludeto=touchon提到v.19.identify=name=recognize=diagnose确定,认同v.20.request=demand=claim=petition=appeal要求n.21.bedividedinto=separate=split=breakup=breakdown分开v.22.consistof=bemadeupof=becomposedof=comprise由…组成23.hinder=hamper=impede阻碍v.24.objective=aim=purpose=goal=target目标n.25.implement=carryon=execute=putsth.Intopractice实行v.26.promote=encourage=help=aid促进v.27.warn=caution=alert=givesb.awarning警告v.28.observationpost=watchtower了望塔n.29.access=entrance=entryway=wayin通路,进入n.Cambridge7TEST31.cause=reason=factor=origin=root原因n.2.measure=weigh=time=take=read测量v.3.route=motorway=highway=expressway车道n.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.fragile=weak=delicate=breakable=feeble脆弱的adj.30.upgrade=improve=makesth.better=makeimprovements改进,提高v.31.advanced=developed=sophisticated=high-tech先进的adj.32.sustainable=renewable=recycling=environmentallyfriendly可持续的adj.33.evidence=proof=documentation证据n.34.long-standing=lengthy=long-running=lasting长期的adj.Cambridge7TEST4rgenumbersof=tensofthousandsof=many大量的rge=massive=huge=enormous=vast巨大的adj.3.resemble=looklike=alike=muchthesame=akinto相像v.4.foe=enemy=adversary=hostile敌人n.5.morethan=exceed=over=inexcessof超过v.6.decrease=crash=reduction=fall=drop下降n.7.stop=halt=cometoahalt停止v.8.sufficient=abundant=enough=adequate充足的adj.9.establish=found=build=setup建立v.10.beSuccessful=prosper=dowell=succeed=thrive成功11.recognize=certify=accept=acknowledge承认v.bel=display=call=brand=hail贴标签,命名v.13.adapt=adjust=getusedto=become/growaccustomedto适应v.14.mistake=error=fault=slip=mix-up错误n.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.manifest=show=reveal=present显示v.41.concentrate=payattention=putone'smindon=attentive专注v.42.produce=make=manufacture=create=fashion生产v.43.carryout=implement=putsth.intopractice=execute实行v.44.perform=do=conduct=dabblein执行v.Cambridge8TEST11.agree=concur=goalongwith=fallinwith=gowithv.同意2.scepticandadvocate=differentattitude不同的看法3.significance=impressive=meaning=sensen.重要性4.meditation:thepracticeofemptyingyourmindofthoughtsandfeelings,inordertorelaxcompletelyorforreligiousreasonsn.冥想,沉思5.parapsychology:thescientificstudyofmysteriousabilitiesthatsomepeopleclaimtohave,suchasknowingwhatwillhappeninthefuturen.通灵学6.environment=condition=light,sound,warmth=situation=circumstancen.环境7.alter=change=revise=makechangesv.改变8.trial=experiment=testn.实验9.successrate=positiveresult=achievement=progress=breakthrough=accomplishmentn.成就10.pickout=identify=recognize=know=tellv.认出,识别11.limit=minimize=maximum=themost=ceiling=cut-offpointv.限制12.different=individual=notlike=vary=notthesame=contrastwith=diverseadj.独特的13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.不29.30.31.32.33.34.35.36.aircraft=plane=byairn.飞机37.average-sized=medium-sizedadj.中等的38.city=metropolitan=urban=town=village=civic=municipal=downtownn.城市39.pendulum:alongmetalstickwithaweightatthebottomthatswingsregularlyfromsidetosidetocontroltheworkingofaclockn.钟摆40.coincidental:happeningcompletelybychancewithoutbeingplannedadj.巧合的41.disobey:torefusetodowhatsomeonewithauthoritytellsyoutodo,orrefusetoobeyaruleorlawv.不服从Cambridge8TEST21.drastically:extremeandsuddenadv.彻底地2.carryout:subjectto:使服从3.remain=stay=keep=continuetobe=stillv.保持4.detect=inspect=examine=notice=spot=becomeaware/conscious=note=conserve=perceivev.检查5.fault=flaw=defect=trouble=bug=virus=besomethingwrongwith=besomethingmatterwithn.缺陷,缺点6.enough=sufficient=adequate=cover=meetsomebody'sneedadj.足够的7.main=largely=principal=chief=major=key=primary=prime=predominant=coreadj.主要的:8.documentation=writtenaccount=evidence=proofn.证明9.shift=switch=transfer=move=jerkv.转换10.consistent=lasting=staythesame=constant=unchangingadj.持续的11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.donotsmell=odorless没有气味的35.regardas=considerto把…认作36.unpleasant=offensive=horrible/disgusting/revolting=notverynice=nastyadj.极讨厌的37.certain=some=ameasureofadj.一些38.correspond=beconsistof=coincide=matchupv.一致39.relevancen.关联40.float=afloatv.浮动Cambridge8TEST31.building=property=constructionn.建筑2.support=back=bebehind=insupportof=backsomebodyupv.支持3.financialsupport=fund=financialaid资助4.stumblingblock=difficulty=troublen.麻烦5.create=generate=form=producev.形成6.direct=guide=lead=instruct=giveorder/instructionv.指导7.beam=laser=ray=glow=glaren.光线,激光8.aim=directat=purpose=point=idea=objective=goal=targetn.目的9.testinreal=fieldtest实地测试10.genius=giftedness/talent/intellectual=intelligence=brains=brilliant=wisdomn.天才11.inherit=runinfamily=receive=get=begiven=beawardedv.继承12.talent=prodigy=skill=ability=craftsmanship=flair=haveaknack=anaturalabilitytodosomethingwelln.才能,技能13.14.15.16.17.18.19.20.21.22.23.24.25.26.1.2.3.4.5.6.7.8.9.10.effort=hardwork=workat=pushyourself=labourn.努力11.correctanswer=accuracyn.精确12.imbalance=disorder=unequal=disproportionaten.不平衡,紊乱13.nolongerrespond=resistance=fightagainst抵抗14.cost=financialoutlay=spend=charge=fare=rental=tolln.支出15.innate=built-inadj.先天的16.immunity=resistancen.免疫力17.entail=involvev.包含18.circumstance=systemn.环境,系统19.feedon=preyon以…为食20.blight=plaguev.破坏21.wipeout=eradicate=getridof=abolish=scrap=doawaywith=eliminate根除22.plague=infest=troublesomev.折磨pare=determinationofvariation=contrast=liken=makeacomparison=drawananalogy=drawaparallelv.对比24.criterion=identification=standard=scalen.标准,识别patible=usebothmethod=well-matched=bemadeforeachother=beaperfectmatch/pair/couple=berightfor=beideallysuitedadj.兼容的26.specimen=individualn.标本27.container=plasticorglasstuben.容器28.wet=marshy=soaked=waterlogged=awashadj.湿的29.30.31.32.33.34.。
Linear_differential_equations_pdf_

Pre-requisites:throughout this chapter,the following basic properties and notions are assumed to be known:∙derivatives and antiderivatives;∙usual functions and in particular,their derivatives;∙complex numbers;roots of a second degree polynomial.Contents1General definitions and standard vocabulary2 2First order linear differential equations32.1Exponential functions and their characterization (4)2.2Structure of the set of solutions and sum principle (6)2.3Solutions to the associated homogeneous equation (7)2.4Variation of parameters (8)2.5Solution satisfying a given initial condition:existence and uniqueness (14)3Second order linear differential equations with constant coefficients153.1Definition and structure of the set of solutions (15)3.2Solutions to the associated homogeneous equation (16)3.3Finding a particular solution when the second member is of type exponential-polynomial (20)3.4Variation of parameters (22)3.5Solution satisfying a given initial condition:existence and uniqueness (24)1General definitions and standard vocabularyThroughout this chapter,unless specified otherwise, will be used to state results that are valid with either =ℝor =ℂ.Definition 1.0.1Let be a positive integer.A differential equation of order is an equation in which the unknown is a function (with domain (to be determined)and (at least) times differentiable on )and of the form:( ): ( , , ′,⋅⋅⋅, ( −1), ( ))=0where for each ∈[∣0, ]∣, ( )is the -th derivative of and is a function of ( +2)variables,and is not constant with respect to the last variable.Example 1.0.1You have probably already studied a number of differential equations,in particular during your physics class.Here a few examples of differential equations:∙ ′+2 =0is a (linear)differential equation of order 1(setting ( , , ′)= ′+2 );∙ ′( )− ( )− 2=0is a (linear)differential equation or order 1;∙ ′=1+ 2is a also a differential equation of order 1(but non linear);∙ ′′+ 2 =0is a (linear)differential equation of order 2;∙ (6)− (3)+2 2=cos( )is a (non linear)differential equation of order 6.Remark:the condition “which is not constant with respect to the last variable”is a technical condition.It is there to guarantee that the equation is really of order .For instance,if we set: ( , , , )= + then the differential equation ( , , ′, ′′)=0is + ′=0,which is really of order 1and not 2.Definition 1.0.2We say a function with domain (a non trivial interval)is a solution to ( )if is at least times differentiable on and:∀ ∈ , ( , ( ), ′( ),⋅⋅⋅, ( )( ))=0Therefore,a solution to the differential equation ( )is really a couple ( , ),where is a real interval and a function at least times differentiable on .Example 1.0.2The function with domain [0;1]given by ( )=exp( )for all ∈[0;1]is a solution of ′= .However,it is clearly not the only one as we could define for any interval , ( )=exp( )for ∈ which would also be a solution to the same differential equation,but on .This is why,in our search for solutions,we focus on solutions with maximal domain.Definition 1.0.3To solve the differential equation ( )is to find all maximal solutions,i.e.find all solutions whose domain’s are maximal (that is,there is no solution to ( )with domain such that ⊊ and ∣ = ).Example 1.0.3In our previous example,the maximal solutions of ′= are the functions with domain ℝgiven by ( )= exp( )for all real number .Obviously,there are a number of differential equations we do not know how to solve explicitly.This is where numerical analysis can be very convenient:there are many methods to give approximations of solutions,even though we do not know an exact form.We will study this later in the year.However,there are one kind of differential equations for which,under“reasonable conditions”,we always know how to solve explicitly:namely,linear equations.The object of the next sections is to study these equations,but only when their order is either1or2.Before we do so,we will give a formal definition of what a linear differential equation actually is.Definition1.0.4A differential equation is said to be linear if it is of the form: ( )− =0,where is the unknown, is a function and is a linear map,i.e. satisfies:( 1+ 2)= ( 1)+ ( 2)and ( 1)= ( 1)for all“unknowns” 1and 2and all scalar constants ∈ .In that case,we say that:∙ is the second member of( );∙the differential equation( ): ( )=0is the homogeneous equation associated to( ).Remark:it is often convenient to group both properties in the definition of a linear map.More specifically, is a linear map if and only if,for all unknowns 1, 2and all , ∈ , ( 1+ 2)= 1+ 2.Example1.0.4Setting ( )= ′− ,we have for all unknowns 1and 2,and all , ∈ :( 1+ 2)=( 1+ 2)′−( 1+ 2)= ′1+ ′2− 1− 2= ( ′1− 1)+ ( ′2− 2)= ( 1)+ ( 2)Therefore, ′− =0is indeed a linear differential equation.Example1.0.5We stated earlier that ′=1+ 2is not a linear differential equation.Indeed,we have here: ′− 2=1 so that ( )= ′− 2and =1(constant function).However, (2 )=2 ′−4 2=2( ′− 2)if =0.Therefore, is not a linear map(the condition must be verified for all unknowns).2First order linear differential equationsDefinition2.0.5A linear differential equation of order1is a differential equation of the form:( ) ′( )+ ( ) ( )= ( )where , and are three functions defined on a real interval .We will only work withfirst order linear differential equations which are“resolved”in ′,i.e.of the form:′( )+ ( ) ( )= ( )Remark:often,we write ′+ ( ) = ( )which theoretically is abusive.The proper forms would either be ′( )+ ( ) ( )= ( )for all in a certain interval or ′+ = (equality amongst functions).However,this abuse is currently accepted and we will always write the equations in that form.Proposition2.0.1Afirst order linear differential equation is indeed a linear differential equation.Hence,the name.Proof:To begin,we observe that the equation can be written in the form: ( )= ,where =and ( )= ( ) ′+ ( ) (again,we should write ( ): −→ ( ) ′( )+ ( ) ( )).Now,let 1and 2be two unknowns and let , be two scalars in .We then have:( 1+ 2)= ( )( 1+ 2)′+ ( )( 1+ 2)= ( )( ′1+ ′2)+ ( )( 1+ 2)= ( ( ) ′1+ ( ) 1)+ ( ( ) ′2+ ( ) 2)= ( 1)+ ( 2)Thus, is a linear map and the equation is indeed linear.⊠2.1Exponential functions and their characterizationTheorem2.1.1Let ∈ .Then the function :ℝ−→−→exp( )is the only(maximal)solution of ′=that satisfies the initial condition (0)=1.Proof:Suppose that is a solution of ′= that verifies (0)=1and let ( )= ( )exp(− ).Then is differentiable onℝ(product of two functions that are)and for all real number ,′( )= ′( )exp(− )− ( )exp(− )=exp(− )( ′( )− ( ))=0Hence, is constant onℝ.Furthermore, (0)= (0)exp(0)=1×1=1so that for all ∈ℝ,( )exp(− )=1.Multiplying both sides by exp( )=0,wefind that: ( )=exp( )forall real number .This proves that if is a solution of ′= that satisfies (0)=1then= .Conversely,one can easily check that satisfies ′ = and (0)=1.⊠Remark:this is one way of characterizing the exponential functions(real or complex)as the only solutions of ′= with initial condition (0)=1.Theorem2.1.2(Second characterization)The only functions differentiable onℝthat verify:∀ , ∈ℝ, ( + )= ( )× ( )(∗)are either exponential functions with ∈ℂor identically zero.Proof:⇐=The identically zero function and exponential functions obviously are differentiable onℝand verify(∗).=⇒Let be a function which is differentiable onℝand verifies the functional equation(∗).Next,let ∈ℝand consider::ℝ−→−→ ( + )− ( ) ( )As is differentiable on ℝ, is also.Furthermore,by hypothesis, and hence, ′are identically zero.Therefore,by differentiating:∀ ∈ℝ, ′( + )= ′( ) ( )Setting =0,we have: ′( )= ′(0) ( ),i.e. ′= with = ′(0).We now consider two possibilities:∙either is identically zero (and the result follows);∙else there is at least one real number 0such that ( 0)=0.Setting = 0and =0in (∗),we have: ( 0)= ( 0+0)= (0)× ( 0).However,by hypothesis, ( 0)=0;hence, (0)=1.We have therefore shown that satisfies ′= and (0)=1.According to our last theorem, = for some ∈ℂ.⊠Remark:one can actually show that the conditions we imposed are a bit strong.Indeed,we need not suppose differentiable.The hypothesis continuous on ℝis sufficient,and actually,even continuous at one point is enough.Exercise 2.1.1Let be a function that verifies (∗).Prove that:(1) is identically zero or does not vanish at all and (0)=1;(2)if is continuous at (with ∈ℝ),then is continuous on ℝ;(3)if is not identically zero,then there exists >0such that∫( )d =0and that therefore, is differentiableon ℝ.Remark:this second characterization of exponential functions is very useful.For instance,this is how one can prove that continuous random variable without memory: ( > + ∣ > )= ( > )for all , ⩾0has necessarily an exponential distribution.Remark:we can also mention a few applications of these theorems to Physics:∙radioactive decay:take for instance plutonium isotope Pu-239.Physics laws state that if ( )is the number ofradioactive atoms (or otherwise the mass (multiplying by the molar mass)),then the activity -given by =−dd-is proportional to .This leads to the relation −d d = .Here,ln 2is what we call the half-life,i.e.thetime required for half the atoms in a sample of radioactive material to decay.∙Newton’s law of cooling states that the rate of change in the temperature of an object is proportional to the difference between the object’s temperature and the temperature of the surrounding medium,i.e.dd=ℎ( 0− )where is the temperature of the object, 0the temperature of the surrounding medium,andℎis what we call the Newton coefficient.2.2Structure of the set of solutions and sum principleTheorem2.2.1Let( )be a linear differential equation,( ): ( )= with a linear map.Assume that is a particular solution of( ).Then for any differentiable function , is a solution of( )if and only if − is a solution of( ).In other words,setting (respectively( ))the set of solutions of( )(respectively( )),one has:= +Proof:Let be any differentiable function.Then,is a solution of( )⇐⇒ ( )=⇐⇒ ( )= ( )(because is a solution of(E))⇐⇒ ( )− ( )=0⇐⇒ ( − )=0(because is linear)⇐⇒ − is a solution of( )⊠this fundamental theorem has a very important practical signification.In order to solve alinear differential equation,one mustfind one solution(what we call a particular solution)and then add all the solutions to the homogeneous equation.Remark:this is why in the next paragraphs,we will focus on how to solve the homogeneous equation and then how to find a particular solution.Remark:for your information,we will say that is an affine space-that is the sum of“a point”( )and a“vector space”( ).Affine spaces and vector spaces are fundamental algebraic structures which we will study next year. Proposition2.2.1(Sum principle)Let be a linear map, 1be a solution of ( )= 1and 2a solution of ( )= 2,where 1and 2are two functions.Then:(i) 1+ 2is a solution of ( )= 1+ 2;(ii)for all ∈ , 1is a solution of ( )= 1.Proof:All these properties are direct consequences of the fact that is linear.Indeed,( 1+ 2)= ( 1)+ ( 2)= 1+ 2and( 1)= ( 1)= 1⊠Example2.2.1Say we want to solve the differential equation( ): ′− =cos( )+3 2 .We then proceed in three steps:∙Step1:wefind a particular solution of ′− =cos( ).∙Step2:wefind a particular solution of ′− = 2 .∙Step3:we solve the homogeneous equation(here the solutions are −→ )We can therefore conclude that the solutions of( )are the functions:= 1+3 2particular solutionby the sum principle +solutions of( )There are now two questions that arise naturally:1.How do we solve the homogeneous equation?2.How do wefind a particular solution if there is no evident one?That’s what we will now focus on.2.3Solutions to the associated homogeneous equationReminder(which we have already reviewed in the chapter on usual functions)Definition2.3.1Let be a function.We say that a function is an antiderivative of on the real interval if is differentiable on and ′( )= ( )for all in .Theorem2.3.1Any continuous function on an interval has antiderivatives.Furthermore,if ∈ ,then −→∫( )d is the only antiderivative of on which vanishes at .Proposition2.3.1Let be a continuous function on the real interval (with values in )and consider the differential equation( ): ′+ ( ) =0.Let be any antiderivative of on .Then the solutions of( )are the functions with domain given by:∀ ∈ , ( )= exp(− ( )),with ∈Proof:First,we notice that since we assumed to be continuous on , does indeed have an-tiderivatives.Therefore, exists.Next,let be any function and set = exp( ).As theexponential function(real or complex)does not vanish,we have:= exp( )⇐⇒ = exp(− )Hence, is differentiable on if and only if is.We then have:∈ ⇐⇒∀ ∈ , ′( )+ ( ) ( )=0⇐⇒∀ ∈ , ′( )exp(− ( ))− ( ) ( )exp−( ( ))+ ( ) ( )exp(− ( ))=0⇐⇒∀ ∈ , ′( )exp(− ( ))=0⇐⇒∀ ∈ , ′( )=0⇐⇒∃ ∈ ,∀ ∈ , ( )=⇐⇒∃ ∈ ,∀ ∈ , ( )= exp(− ( ))⊠Remark:please note that this result holds for =ℂas well;and also,that this proposition states that the maximal solutions are all defined on !Example2.3.1Consider the following differential equations:∙ ′= where ∈ℂ.We already know from the characterization of exponential functions that the solutions are ( )= (0)exp( ).Setting this aside,( )can be written as ′− =0and if we apply the previous proposition,we know that −→− is continuous onℝand −→ is an antiderivative onℝ.Therefore,the solutions are of the form:( )= exp( ),with ∈We do indeedfind the same solutions,which is reassuring!∙( ): ′+11+ 2=0. −→11+ 2is continuous onℝand has −→arctan( )for antiderivative.Therefore,the solutions of( )are the functions defined on by:∀ ∈ , ( )= exp(−arctan( )), ∈Remark:solving a homogeneous differential equation of order one basically boils down tofinding an antiderivative of a given function.Proposition2.3.2With the previous notations,(i)solutions of( ),other than zero,do not vanish on ;(ii) ={ − , ∈ }is a“one-dimensional vector space”or a“line”:all elements of are“proportional”(“collinear”)to − .Proof:(ii)is simply a formal way of writing the set of solutions.As for( ),let be a solution of( ).Then by the previous proposition,there is a constant ∈ such that = exp(− ).Moreover,we know that the exponential never vanishes;therefore,if ( 0)=0for some0∈ ,then =0and =0(identically zero).⊠2.4Variation of parametersNow we consider the full equation( ): ′+ ( ) = ( ).Let 0be a non-zero solution of( )(( 0)is a basis of ).From the previous paragraph,we know that the solutions of the homogeneous equation( )are of the form 0,with ∈ .We are therefore going to try tofind a particular solution of the same form,but by“variation of the parameter ”,i.e.of the form:( )= ( ) 0( )By( )in the previous proposition,we know that for all ∈ , 0( )=0;hence,= 0⇐⇒ = 0and therefore, is differentiable on if and only if is.We then deduce that for any differentiable function : = 0; ′= ′ 0+ ′0et ′+ = ′ 0+( ′+ )0( 0solution of( ))= ′ 0Hence,is a solution of( )⇐⇒ ′ 0= ⇐⇒ ′= 0We can now state our result formally:Theorem 2.4.1Consider the differential equation ( ): ′+ ( ) = ( ),where and are two continuous functions on .Let be an antiderivative of and an antiderivative of → ( ) ( ).Then a particular solution of ( )is given by:∀ ∈ , ( )= ( ) − ( )In particular,if 0∈ ,then the solutions of ( )aregiven by:∀ ∈ , ( )=(∫( ) ( )d ) − ( )+ − ( )Proof:We choose 0=exp(− ).The previous calculations show that:is a solution of ( )⇐⇒ ′= exp( )⇐⇒= +Substituting in = exp(− )yields the results.⊠△!Caution:beware!All the theorems we stated apply for equations which are “resolved”in ′.If they are not,i.e.of the form ( ) ′+ ( ) = ( ),then one most solve the equation on intervals on which does not vanish,wherewe can write ′+ ( ) ( ) = ( )( ).Example 2.4.1Consider a resistor and a capacity mounted in series with a generator delivering a constant tension .We know that the tension (or voltage)then satisfies the following differential equation:( 1):dd+ = As = =0,( 1)is equivalent tod d + =.We now apply our method.∙Solutions to the associated homogeneous equation:−→1 is continuous on ℝand has −→for antiderivative.Therefore,the solutions to ( 1, )are thefunctions given by:∀ ∈ℝ, ( )= exp(−), ∈ℝ∙Search for a particular solution:we could simply apply the variation of parameters method.However,it is much simpler here to search for a trivial solution.The second member is constant:we therefore try to find a constant solution,i.e.such that dd =0.This yields: = .∙ConclusionThis proves that the tension is of the form:∀ ∈[0;+∞[, ( )= + −.We can then determine the value of by using the initial condition.Example2.4.2Consider the equation( 2): ′− =cos( ).∙Solutions to the associated homogeneous equation:It is clear that the solutions to the homogeneous equation are given by: ( )= for all ∈ℝ,with ∈ℝ.∙Search for a particular solution:–First method:variation of parametersApplying the variation of parameters,we set for all inℝ, ( )= ( ) where is a differentiable function onℝ.Then:is a solution of( 2)⇐⇒∀ ∈ℝ, ′ ( ) =cos( )⇐⇒∀ ∈ℝ, ( )= − cos( )We must therefore determine an antiderivative onℝof −→ − cos( ).To do this,we can,for example, use integration by parts twice:∫ 0 − cos( )d =[− − cos( )]−∫(− − )(−sin( ))d=− − cos( )+1−[− − sin( )]−∫− cos( )dThus,2∫− cos( )d =− − cos( )+ − sin( )+1So that −→ −2(sin( )−cos( ))is an antiderivative of −→ − cos( ).Hence,one particular solution of( 2)is given by:∀ ∈ℝ, ( )=12(sin( )−cos( ))–Second method:using complex numbersConsider the new equation:( ): ′− = .If wefind a particular solution ,thenℜ ( )will be a particular solution of( 2)1.Next,we try tofind a solution of the form = with ∈ℂ(for more details,see section3.3).We then have the following equivalences:solution of( )⇐⇒∀ ∈ℝ, − =⇐⇒( −1) =1⇐⇒ =1 −1⇐⇒ =− −12Thus,a particular solution of( 2)is given by:for all ∈ℝ,( )=ℜ (−1+2)=−12cos( )+12sin( )–Third method:trying tofind a trivial solutionGiven the second member,it might seem reasonable to look for a solution of the form: −→ cos( )+ sin( ).∙ConclusionWe can now conclude that the solutions to( 2)are given by:∀ ∈ℝ, ( )= −2sin( )− −2cos( )+ − , ∈ℝ1Careful!This method works here because the coefficients are all real!Otherwise,we could not say thatℜ ( ′− )=ℜ ( )′−ℜ ( ).Example2.4.3Consider( 3): ′+1+ 2=11+ 2.∙Step1:solutions to the associated homogeneous equation−→1+ 2is continuous onℝand has −→12ln(1+ 2)for antiderivative.Thus, ={ℝ−→ℝ−→ exp(−12ln(1+ 2)), ∈ℝ}={−→√1+ 2, ∈ℝ}∙Step2:search for a particular solutionApplying the previous theorem,we know that a particular solution is of the form: −→( )√1+ 2where is anantiderivative of −→ ( ) − ( )=1√1+ 2.Here,we can choose =Argsh which leads to:∀ ∈ℝ, ( )=Argsh( )√1+ 2∙ConclusionThis shows that the solutions to the equation( 3)are the functions given by:∀ ∈ℝ, ( )=Argsh( )+√1+ 2,with ∈ℝExercise2.4.1Solve the differential equation: ′+ = 3.Finally,to conclude this paragraph,we will study one example of equation which is not“resolved”in ′and see how one goes about determining maximal solutions.Example2.4.4We wish to solve the differential equation:( ):(1− 2) ′−2 =sin( ).First,notice that1− 2=0if and only if =±1.Therefore,even though( )is defined onℝ,we cannot simply apply our theorems onℝ.We must solve the equation on each interval where1− 2does not vanish,i.e.on 1=]−∞;−1[, 2=]−1;1[and 3=]1;+∞[,and then determine whether or nor,there are any solutions onℝ.∙Step1:Solutions to( )on each interval where1− 2does not vanishLet ∈{1,2,3}.We then have:solution of( )on ⇐⇒ ′+22−1=sin( )1− 2–Solutions to the associated homogeneous equation−→22−1is continuous on and −→ln∣ 2−1∣is an antiderivative of that function on .Therefore,the solutions to( )(the homogeneous equation)are given by:∀ ∈ , ( )= exp (−ln∣ 2−1∣)=∣ 2−1∣, ∈ℝFurthermore,on the interval , 2−1has constant sign.We can thus remove the absolute value and incorporate the sign of 2−1in the sign of the constant .In other words,the solutions to( )are ofthe form:∀ ∈ , ( )=1− 2, ∈ℝ△!Caution:it is extremely important to realize that the parameter that wefind solving the equation depends of the interval on which we are solving the equation.Thus,the notation to indicate this fact.–Search for a particular solutionApplying the variation of parameter method,we set ( )= ( )1−for in ,with a differentiablefunction on .Then,is a solution of( )on ⇐⇒∀ ∈ , ′( )1−=sin( )1−⇐⇒∀ ∈ , ′ ( )=sin( ) Hence,a particular solution of( )on is given by:∀ ∈ , ( )=−cos( ) 1− 2–ConclusionThis proves that the solution of( )on are the functions of the form:∀ ∈ , ( )= −cos( )1− 2,with ∈ℝRemark:we actually could have solved( )much faster by noticing that(1− 2) ′−2 =((1− 2) )′so that( )is equivalent to(1− 2) =−cos( )+ .∙Solving( )completely–Necessary conditionsSuppose is a solution of( )(i.e.a solution onℝ).Then,its restriction to each interval (for ∈{1,2,3}) is a solution of( )on .According to what we have just shown,there are three real constants 1, 2and3such that:( )=⎧⎨⎩1−cos( )1− 2if ∈]−∞;−1[ 2−cos( )1−if ∈]−1;1[ 3−cos( )1− 2if ∈]1;+∞[Also,setting =±1in the equation,we see that (±1)=−sin(1)2so that in fact,if is solution of( )onℝ,then necessarily:( )=⎧⎨⎩1−cos( )1−if ∈]−∞;−1[−sin(1)2if =−12−cos( )1− 2if ∈]−1;1[−sin(1)2if =13−cos( )1− 2if ∈]1;+∞[Furthermore,if is a solution of( ),we know that necessarily, is differentiable at±1,hence continuous.Moreover,lim→−1<−1(1− 2)=0−and lim→−1<−1( 1−cos( ))= 1−cos(1).Therefore,for to be continuousfrom the left at−1,it is necessary that 1−cos(1)=0,i.e. 1=cos(1).Proceeding in the same way,one shows that for to be continuous(period)at−1and1,one must have 1= 2= 3=cos(1).Therefore, we have shown that if a solution to( )exists,it is necessarily given by:( )=⎧⎨⎩cos(1)−cos( )1− 2if =±1−sin(1)2if =±1–Search for sufficient conditionsAssume that is defined onℝby the previous piecewise expression.We wish to determine whether or not is differentiable onℝand solution of( ).First,it is clear that is differentiable onℝ∖{−1,1}and solution of( )on each interval]−∞;−1[,]−1;1[ and]1;+∞[.We must therefore study the differentiability at±1:by construction,if is differentiable at ±1,then will automatically satisfy the equation for =±1.Next,let be any real number such that∣ ∣=1.Then,( )=cos(1)−cos( )(1− )(1+ )=−12×sin(−12)−12×sin(+12)+12Setting ( )=⎧⎨⎩sin( )if =01if =0,we see that in fact,for all real number (including =±1):( )=−12(−12)× (+12)Thus,to prove the differentiability of at ±1,it is sufficient to prove that is differentiable on ℝ.I leave that fact as an exercise for you to do 2.∙ConclusionWe have proved that the differential equation ( )has one and only one solution on ℝwhich is given by:∀ ∈ℝ, ( )=⎧ ⎨ ⎩cos(1)−cos( )1− 2if =±1−sin(1)2if =±1Important facts to remember from this example:(1)when solving a first order differentiable equation which isn’t “resolved”in ′,we cannot directly apply ourtheorems (notice that we found only one solution as opposed to an infinite number of solutions);(2)in this case,it is important to remember to solve on each interval where the function (coefficient in frontof ′)does not vanish,and that the constants (or parameters)we find depend on the interval;(3)then comes the big piece of work:determining necessary conditions on the constants so that a function canbe a solution on the full interval,and then,conversely,checking that such a function is indeed differentiable and a solution to the differentiable equation.(4)note that these equations require a whole lot more work then the other form....2.5Solution satisfying a given initial condition:existence and uniquenessTheorem 2.5.1Consider the differential equation ( ): ′+ ( ) = ( ),where and are two continuous functions on .Let 0∈ and let 0be any scalar in .Then the equation ( )has one and only one solution satisfying the initial condition ( 0)= 0.Furthermore,we can give an exact expression for this solution:∀ ∈ , ( )=( 0+∫ 0( ) ∫ 0 ( )d d )−∫ 0 ( )d Proof:Let be a solution of ( ).Consider : −→ given by ( )=∫( )d so that isthe only antiderivative of on that vanishes at 0.By theorem 2.4.1,we know that thereexists a scalar ∈ such that:∀ ∈ , ( )=(∫ 0 ( ) ( )d ) − ( )+ − ( )Thus,( 0)= 0⇐⇒(∫ 0 0 ( ) ( )d ) − ( 0)+ − ( 0)= 0⇐⇒= 0⊠2hint:start by proving that for any non-negative , − 36⩽sin( )⩽ .3Second order linear differential equations with constant coefficients3.1Definition and structure of the set of solutionsDefinition3.1.1A second order linear differential equation with constant coefficients is by definition a differential equation of the form:( ): ′′+ ′+ = ( )where , , are three scalars in such that =0and a function.Proposition3.1.1A second order linear differential equation with constant coefficients is indeed a linear differ-ential equation.Proof:Set ( )= ′′+ ′+ ;then( )is equivalent to ( )= .Now we show that is alinear map.Let 1, 2be two functions twice differentiable on a real interval and let ,[]be two scalars in .Then:( 1+ 2)= ( 1+ 2)′′+ ( 1+ 2)′+ ( 1+ 2)= ( ′′1+ ′′2)+ ( ′1+ ′2)+ ( 1+ 2)= ( ′′1+ ′1+ 1)+ ( ′′2+ ′2+ 2)= ( 1)+ ( 2)This proves that is a linear map and therefore,that( )is a linear differential equation.⊠As for the structure of the set of solutions,if you read the proof of theorem2.2.1and proposition2.2.1,you can easily see that they do not depend on the order of the differential equation,but solely on the fact that it is linear.Hence, they also apply for second order linear differential equations:Theorem3.1.1Let( )be a linear differential equation,( ): ( )= with a linear map.Assume that is a particular solution of( ).Then for any differentiable function , is a solution of( )if and only if − is a solution of( ).In other words,setting (respectively( ))the set of solutions of( )(respectively( )),one has:= +Proposition3.1.2(Sum principle)Let be a linear map, 1be a solution of ( )= 1and 2a solution of ( )= 2,where 1and 2are two functions.Then:(i) 1+ 2is a solution of ( )= 1+ 2;(ii)for all ∈ , 1is a solution of ( )= 1.Once again,we are now left with two problems:finding the solutions to the homogeneous equation andfinding a particular solution.3.2Solutions to the associated homogeneous equationWe now focus on the associated homogeneous equation:( ): ′′+ ′+ =0We know that for linear differential equations of order 1with constant coefficients,the solutions of the homogeneous equation are exponentials.Also,we know that when differentiating an exponential −→exp( )(for ∈ ),we get a function which is proportional to the same exponential.Therefore,it is perfectly logical to try to find solutions to the homogeneous equation of the form: ( )= with ∈ .Let ∈ .The function is at least twice differentiable on ℝ, ′ = and ′′ = 2 .Thus,the followingpropositions are equivalent:is a solution of ( )⇐⇒′′ + ′ + =0⇐⇒2 + + =0⇐⇒ ×( 2+ + )=0Considering the fact that the exponential function is never zero (or does not vanish),we find that:is a solution of ( )⇐⇒ 2+ + =0Definition 3.2.1The characteristic polynomial associated to ( )(or to ( ))is the second degree polynomial:( )= 2+ +One also says that 2+ + =0is the characteristic equation of ( )or of ( ).Our previous results show that is a solution of ( )if and only if ( )=0.Therefore,the number of different exponentials which will be solutions depends of the number of roots that has in .Hence,one must distinguish two possibilities.∙First case: has at least one root inLet 1be a root of in .Relations between roots and coefficients show that has another root 2(eventually 2= 1is a root with multiplicity 2)that verifies 1+ 2=−.Next,let be any function twice differentiable on ℝ.Copying our variation of parameter,we set: ( )= ( ) − 1 ,or equivalently, ( )= ( ) 1 .Then is twice differentiable on ℝas well and for all real number ,′( )= ′( ) 1( )+ ( ) 1 1( )′′( )= ′′( ) 1( )+2 1 ′( ) 1( )+ 21 ( ) 1( )Consequently,collecting terms and replacing in the equation,we find that:is a solution of ( )⇐⇒ 1×( ′′+2 1 ′+ 21+ ′+ 1 + )=0⇐⇒ ′′+(2 1+ ) ′+( 21+ 1+ ) =0Furthermore,by definition, 1is a root of so that ( 1)=0,i.e 21+ 1+ =0.Also,substituting =− ( 1+ 2)we find that 2 1+ = ( 1− 2)and thus:is solution of ( )⇐⇒∀ ∈ℝ, ′′+ ( 1− 2) ′=0⇐⇒∀ ∈ℝ, ′′+( 1− 2) ′=0⇐⇒∀ ∈ℝ, ′( )= ( 2− 1) ,for some ∈We must now find ,i.e.find antiderivatives of −→ ( 2− 1) .which again introduces two separate cases:First sub-case: 2= 1(i.e. has two distinct roots in )。
高中英语Unit2 课时作业含解析外研版必修第二册

Let’s celebrate课时作业(三) Developing ideas & Presenting ideas必备知识基础练基础知识Ⅰ.单词拼写1.His speech made a strong impression on the ________ (观众).2.Children under 14 must be accompanied by an ________ (成年人).3.Spring Festival is an ________ (时刻) for all the family members to get together.4.The product is sold both at home and ________ (在海外).5.The worker earned little money a month, so he had to ________ (存在) on only instant noodles.6.He ________ (承认) to me that he stole the purse.7.The company suffered a great ________ (损失) from the financial crisis.8.The old man seems to be a ________ (退休的) teacher.9.Burning coal causes air pollution and increases ________ (全球的) warming.10.To my ________ (喜悦), everyone in our class passed the final exam.Ⅱ.用方框内短语的适当形式填空have nothing to do with; be keen on; sell out; put up; depend on; be dressed as; be admitted to; what's more; if necessary; make every effort 1.Peter ________ sports and likes playing table tennis in particular.2.Yesterday he ________ many notices to look for his lost dog.3.She ________ Beijing university, which made her parents very happy.4.The cloth sells easily. It has been ________ by now.5.The dishes are very delicious. ________ they are good for our health.6.We do hope that the matter ________________ him.7.They ________________ to rebuild the destroyed museum.8.The success or failure of the matter ________ your own effort.9.________, you can ask us for advice on how to solve the problem.10.Children ________ lovely clowns at the party.Ⅲ.完成句子1.我认为他不是个诚实的人。
线性代数英文单词

线性代数英语词汇大集合========================================================================= Aadjont(adjugate) of matrix A A 的伴随矩阵augmented matrix A 的增广矩阵Bblock diagonal matrix 块对角矩阵block matrix 块矩阵basic solution set 基础解系CCauchy-Schwarz inequality 柯西- 许瓦兹不等式characteristic equation 特征方程characteristic polynomial 特征多项式coffcient matrix 系数矩阵cofactor 代数余子式cofactor expansion 代数余子式展开column vector 列向量commuting matrices 交换矩阵consistent linear system 相容线性方程组Cramer's rule 克莱姆法则Cross- product term 交叉项DDeterminant 行列式Diagonal entries 对角元素Diagonal matrix 对角矩阵Dimension of a vector space V 向量空间V 的维数Eechelon matrix 梯形矩阵eigenspace 特征空间eigenvalue 特征值eigenvector 特征向量eigenvector basis 特征向量的基elementary matrix 初等矩阵elementary row operations 行初等变换Ffull rank 满秩fundermental set of solution 基础解系Ggrneral solution 通解Gram-Schmidt process 施密特正交化过程Hhomogeneous linear equations 齐次线性方程组Iidentity matrix 单位矩阵inconsistent linear system 不相容线性方程组indefinite matrix 不定矩阵indefinit quatratic form 不定二次型infinite-dimensional space 无限维空间inner product 内积inverse of matrix A 逆矩阵JKLlinear combination 线性组合linearly dependent 线性相关linearly independent 线性无关linear transformation 线性变换lower triangular matrix 下三角形矩阵Mmain diagonal of matrix A 矩阵的主对角matrix 矩阵Nnegative definite quaratic form 负定二次型negative semidefinite quadratic form 半负定二次型nonhomogeneous equations 非齐次线性方程组nonsigular matrix 非奇异矩阵nontrivial solution 非平凡解norm of vector V 向量V 的范数normalizing vector V 规范化向量Oorthogonal basis 正交基orthogonal complemen t 正交补orthogonal decomposition 正交分解orthogonally diagonalizable matrix 矩阵的正交对角化orthogonal matrix 正交矩阵orthogonal set 正交向量组orthonormal basis 规范正交基orthonomal set 规范正交向量组Ppartitioned matrix 分块矩阵positive definite matrix 正定矩阵positive definite quatratic form 正定二次型positive semidefinite matrix 半正定矩阵positive semidefinite quadratic form 半正定二次型Qquatratic form 二次型Rrank of matrix A 矩阵A 的秩r(A )reduced echelon matrix 最简梯形阵row vector 行向量Sset spanned by { } 由向量{ } 所生成similar matrices 相似矩阵similarity transformation 相似变换singular matrix 奇异矩阵solution set 解集合standard basis 标准基standard matrix 标准矩阵Isubmatrix 子矩阵subspace 子空间symmetric matrix 对称矩阵Ttrace of matrix A 矩阵A 的迹tr ( A )transpose of A 矩阵A 的转秩triangle inequlity 三角不等式trivial solution 平凡解Uunit vector 单位向量upper triangular matrix 上三角形矩阵Vvandermonde matrix 范得蒙矩阵vector 向量vector space 向量空间WZzero subspace 零子空间zero vector 零空间==============================================================================向量:vector 向量的长度(模):零向量: zero vector负向量: 向量的加法:addition 三角形法则:平行四边形法则:多边形法则减法向量的标量乘积:scalar multiplication 向量的线性运算线性组合:linear combination 线性表示,线性相关(linearly dependent),线性无关(linearly independent),原点(origin)位置向量(position vector)线性流形(linear manifold)线性子空间(linear subspace)基(basis)仿射坐标(affine coordinates),仿射标架(affine frame),仿射坐标系(affine coordinate system)坐标轴(coordinate axis)坐标平面卦限(octant)右手系左手系定比分点线性方程组(system of linear equations齐次线性方程组(system of homogeneous linear equations)行列式(determinant)维向量向量的分量(component)向量的相等和向量零向量负向量标量乘积维向量空间(vector space)自然基行向量(row vector)列向量(column vector)单位向量(unit vector)直角坐标系(rectangular coordinate system),直角坐标(rectangular coordinates),射影(projection)向量在某方向上的分量,正交分解,向量的夹角,内积(inner product)标量积(scalar product),数量积,方向的方向角,方向的方向余弦;二重外积外积(exterior product),向量积(cross product),混合积(mixed product,scalar triple product)==================================================================================(映射(mapping)),(象(image)),(一个原象(preimage)),(定义域(domain)),(值域(range)),(变换(transformation)),(单射(injection)),(象集),(满射(surjection)),(一一映射,双射(bijection)),(原象),(映射的复合,映射的乘积),(恒同映射,恒同变换(identity mapping)),(逆映射(inverse mapping));(置换(permutation)),(阶对称群(symmetric group)),(对换(transposition)),(逆序对),(逆序数),(置换的符号(sign)),(偶置换(even permutation)),(奇置换(odd permutation));行列式(determinant),矩阵(matrix),矩阵的元(entry),(方阵(square matrix)),(零矩阵(zero matrix)),(对角元),(上三角形矩阵(upper triangular matrix)),(下三角形矩阵(lower triangular matrix)),(对角矩阵(diagonal matrix)),(单位矩阵(identity matrix)),转置矩阵(transpose matrix),初等行变换(elementary row transformation),初等列变换(elementary column transformation);(反称矩阵(skew-symmetric matrix));子矩阵(submatrix),子式(minor),余子式(cofactor),代数余子式(algebraic cofactor),(范德蒙德行列式(Vandermonde determinant));(未知量),(系数矩阵),(方程的系数(coefficient)),(常数项(constant)),(线性方程组的解(solution)),(增广矩阵(augmented matrix)),(零解);子式的余子式,子式的代数余子式===================================================================================线性方程组与线性子空间(阶梯形方程组),(方程组的初等变换),行阶梯矩阵(row echelon matrix),主元,简化行阶梯矩阵(reduced row echelon matrix),(高斯消元法(Gauss elimination)),(解向量),(同解),(自反性(reflexivity)),(对称性(symmetry)),(传递性(transitivity)),(等价关系(equivalence));(齐次线性方程组的秩(rank));(主变量),(自由位置量),(一般解),向量组线性相关,向量组线性无关,线性组合,线性表示,线性组合的系数,(向量组的延伸组);线性子空间,由向量组张成的线性子空间;基,坐标,(自然基),向量组的秩;(解空间),线性子空间的维数(dimension),齐次线性方程组的基础解系(fundamental system of solutions);(平面束(pencil of planes))(导出组),线性流形,(方向子空间),(线性流形的维数),(方程组的特解);(方程组的零点),(方程组的图象),(平面的一般方程),(平面的三点式方程),(平面的截距式方程),(平面的参数方程),(参数),(方向向量);(直线的方向向量),(直线的参数方程),(直线的标准方程),(直线的方向系数),(直线的两点式方程),(直线的一般方程);=====================================================================================矩阵的秩与矩阵的运算线性表示,线性等价,极大线性无关组;(行空间,列空间),行秩(row rank),列秩(column rank),秩,满秩矩阵,行满秩矩阵,列满秩矩阵;线性映射(linear mapping),线性变换(linear transformation),线性函数(linear function);(零映射),(负映射),(矩阵的和),(负矩阵),(线性映射的标量乘积),(矩阵的标量乘积),(矩阵的乘积),(零因子),(标量矩阵(scalar matrix)),(矩阵的多项式);(退化的(degenerate)方阵),(非退化的(non-degenerate)方阵),(退化的线性变换),(非退化的线性变换),(逆矩阵(inverse matrix)),(可逆的(invertible),(伴随矩阵(adjoint matrix));(分块矩阵(block matrix)),(分块对角矩阵(block diagonal matrix));初等矩阵(elementary matrix),等价(equivalent);(象空间),(核空间(kernel)),(线性映射的秩),(零化度(nullity))==================================================================================== transpose of matrix 倒置矩阵; 转置矩阵【数学词汇】transposed matrix 转置矩阵【机械专业词汇】matrix transpose 矩阵转置【主科技词汇】transposed inverse matrix 转置逆矩阵【数学词汇】transpose of a matrix 矩阵的转置【主科技词汇】permutation matrix 置换矩阵; 排列矩阵【主科技词汇】singular matrix 奇异矩阵; 退化矩阵; 降秩矩阵【主科技词汇】unitary matrix 单式矩阵; 酉矩阵; 幺正矩阵【主科技词汇】Hermitian matrix 厄密矩阵; 埃尔米特矩阵; 艾米矩阵【主科技词汇】inverse matrix 逆矩阵; 反矩阵; 反行列式; 矩阵反演; 矩阵求逆【主科技词汇】matrix notation 矩阵符号; 矩阵符号表示; 矩阵记号; 矩阵运算【主科技词汇】state transition matrix 状态转变矩阵; 状态转移矩阵【航海航天词汇】torque master 转矩传感器; 转矩检测装置【主科技词汇】spin matrix 自旋矩阵; 旋转矩阵【主科技词汇】moment matrix 动差矩阵; 矩量矩阵【航海航天词汇】Jacobian matrix 雅可比矩阵; 导数矩阵【主科技词汇】relay matrix 继电器矩阵; 插接矩阵【主科技词汇】matrix notation 矩阵表示法; 矩阵符号【航海航天词汇】permutation matrix 置换矩阵【航海航天词汇】transition matrix 转移矩阵【数学词汇】transition matrix 转移矩阵【机械专业词汇】transitionmatrix 转移矩阵【航海航天词汇】transition matrix 转移矩阵【计算机网络词汇】transfer matrix 转移矩阵【物理词汇】rotation matrix 旋转矩阵【石油词汇】transition matrix 转换矩阵【主科技词汇】circulant matrix 循环矩阵; 轮换矩阵【主科技词汇】payoff matrix 报偿矩阵; 支付矩阵【主科技词汇】switching matrix 开关矩阵; 切换矩阵【主科技词汇】method of transition matrices 转换矩阵法【航海航天词汇】stalling torque 堵转力矩, 颠覆力矩, 停转转矩, 逆转转矩【航海航天词汇】thin-film switching matrix 薄膜转换矩阵【航海航天词汇】rotated factor matrix 旋转因子矩阵【航海航天词汇】transfer function matrix 转移函数矩阵【航海航天词汇】transition probability matrix 转移概率矩阵【主科技词汇】energy transfer matrix 能量转移矩阵【主科技词汇】fuzzy transition matrix 模糊转移矩阵【主科技词汇】canonical transition matrix 规范转移矩阵【主科技词汇】matrix form 矩阵式; 矩阵组织【主科技词汇】stochastic state transition matrix 随机状态转移矩阵【主科技词汇】fuzzy state transition matrix 模糊状态转移矩阵【主科技词汇】matrix compiler 矩阵编码器; 矩阵编译程序【主科技词汇】test matrix 试验矩阵; 测试矩阵; 检验矩阵【主科技词汇】matrix circuit 矩阵变换电路; 矩阵线路【主科技词汇】reducible matrix 可简化的矩阵; 可约矩阵【主科技词汇】matrix norm 矩阵的模; 矩阵模; 矩阵模量【主科技词汇】rectangular matrix 矩形矩阵; 长方形矩阵【主科技词汇】running torque 额定转速时的转矩; 旋转力矩【航海航天词汇】transposed matrix 转置阵【数学词汇】covariance matrix 协变矩阵; 协方差矩阵【主科技词汇】unreduced matrix 未约矩阵; 不可约矩阵【主科技词汇】receiver matrix 接收机矩阵; 接收矩阵变换电路【主科技词汇】torque 传动转矩; 转矩; 阻力矩【航海航天词汇】pull-in torque 启动转矩; 输入转矩, 同步转矩, 整步转矩【航海航天词汇】parity matrix 奇偶校验矩阵; 一致校验矩阵【主科技词汇】bus admittance matrix 母线导纳矩阵; 节点导纳矩阵【主科技词汇】matrix printer 矩阵式打印机; 矩阵形印刷机; 点阵打印机【主科技词汇】dynamic matrix 动力矩阵; 动态矩阵【航海航天词汇】connection matrix 连接矩阵; 连通矩阵【主科技词汇】characteristic matrix 特征矩阵; 本征矩阵【主科技词汇】regular matrix 正则矩阵; 规则矩阵【主科技词汇】flexibility matrix 挠度矩阵; 柔度矩阵【主科技词汇】citation matrix 引文矩阵; 引用矩阵【主科技词汇】relational matrix 关系矩阵; 联系矩阵【主科技词汇】eigenmatrix 本征矩阵; 特征矩阵【主科技词汇】system matrix 系统矩阵; 体系矩阵【主科技词汇】system matrix 系数矩阵; 系统矩阵【航海航天词汇】recovery diode matrix 恢复二极管矩阵; 再生式二极管矩阵【主科技词汇】inverse of a square matrix 方阵的逆矩阵【主科技词汇】torquematic transmission 转矩传动装置【石油词汇】torque balancing device 转矩平衡装置【航海航天词汇】torque measuring device 转矩测量装置【主科技词汇】torque measuring apparatus 转矩测量装置【航海航天词汇】torque-tube type suspension 转矩管式悬置【主科技词汇】steering torque indicator 转向力矩测定仪; 转向转矩指示器【主科技词汇】magnetic dipole moment matrix 磁偶极矩矩阵【主科技词汇】matrix addressing 矩阵寻址; 矩阵寻址时频矩阵编址; 时频矩阵编址【航海航天词汇】stiffness matrix 劲度矩阵; 刚度矩阵; 劲度矩阵【航海航天词汇】first-moment matrix 一阶矩矩阵【主科技词汇】matrix circuit 矩阵变换电路; 矩阵电路【计算机网络词汇】reluctance torque 反应转矩; 磁阻转矩【主科技词汇】pull-in torque 启动转矩; 牵入转矩【主科技词汇】induction torque 感应转矩; 异步转矩【主科技词汇】nominal torque 额定转矩; 公称转矩【航海航天词汇】phototronics 矩阵光电电子学; 矩阵光电管【主科技词汇】column matrix 列矩阵; 直列矩阵【主科技词汇】inverse of a matrix 矩阵的逆; 逆矩阵【主科技词汇】lattice matrix 点阵矩阵【数学词汇】lattice matrix 点阵矩阵【物理词汇】canonical matrix 典型矩阵; 正则矩阵; 典型阵; 正则阵【航海航天词汇】moment matrix 矩量矩阵【主科技词汇】moment matrix 矩量矩阵【数学词汇】dynamic torque 动转矩; 加速转矩【主科技词汇】indecomposable matrix 不可分解矩阵; 不能分解矩阵【主科技词汇】printed matrix wiring 印刷矩阵布线; 印制矩阵布线【主科技词汇】decoder matrix circuit 解码矩阵电路; 译码矩阵电路【航海航天词汇】scalar matrix 标量矩阵; 标量阵; 纯量矩阵【主科技词汇】array 矩阵式组织; 数组; 阵列【计算机网络词汇】commutative matrix 可换矩阵; 可交换矩阵【主科技词汇】标准文档实用文案。
自动化专业英语教程第2版王宏文主编翻译PART2

P2U1A The World of Control
第二部分第一单元课文A 控制的世界
控制系统的分类和术语 控制系统可根据系统本 R(s) C(s) 身或其参量进行分类: 控制对象 控制元件 开环和闭环系统(如图 a) 2-1A-1):开环控制系统是 R(s) C(s) 控制行为与输出无关的系统。 控制对象 控制元件 + 而闭环系统,其被控对象的 输入在某种程度上依赖于实 际的输出。因为输出以由反 反馈元件 馈元件决定的一种函数形式 b) 反馈回来,然后被输入减去。 闭环系统通常是指负反馈系 图2-1A-1 开环控制系统和闭环控制系统 统或简称为反馈系统。
P2U1A The World of Control
第二部分第一单元课文A 控制的世界
5. 参考译文
A 控制的世界 简介 控制一词的含义一般是调节、指导或者命令。控制系统大 量存在于我们周围。在最抽象的意义上说,每个物理对象都是 一个控制系统。 控制系统被人们用来扩展自己的能力,补偿生理上的限制, 或把自己从常规、单调的工作中解脱出来,或者用来节省开支。 例如在现代航空器中,功率助推装置可以把飞行员的力量放大, 从而克服巨大的空气阻力推动飞行控制翼面。飞行员的反应速 度太慢,如果不附加阻尼偏航系统,飞行员就无法通过轻微阻 尼的侧倾转向方式来驾驶飞机。自动飞行控制系统把飞行员从 保持正确航向、高度和姿态的连续操作任务中解脱出来。没有 了这些常规操作,飞行员可以执行其他的任务,如领航或通讯, 这样就减少了所需的机组人员,降低了飞行费用。 在很多情况下,控制系统的设计是基于某种理论,而不是 靠直觉或试凑法。控制系统能够用来处理系统对命令、调节或 扰动的动态响应。控制理论的应用基本上有两个方面:动态
July 28, 2007
企业风险管理中英文对照外文翻译文献

企业风险管理中英文对照外文翻译文献(文档含英文原文和中文翻译)原文:Risk ManagementThis chapter reviews and discusses the basic issues and principles of risk management, including: risk acceptability (tolerability); risk reduction and the ALARP principle; cautionary and precautionary principles. And presents a case study showing the importance of these issues and principles in a practical management context. Before we take a closer look, let us briefly address some basic features of risk management.The purpose of risk management is to ensure that adequate measures are taken to protect people, the environment, and assets from possible harmful consequences of the activities being undertaken, as well as to balance different concerns, in particular risks and costs. Risk management includes measures both to avoid the hazards and toreduce their potential harm. Traditionally, in industries such as nuclear, oil, and gas, risk management was based on a prescriptive regulating regime, in which detailed requirements were set with regard to the design and operation of the arrangements. This regime has gradually been replaced by a more goal-oriented regime, putting emphasis on what to achieve rather than on the means of achieving it.Risk management is an integral aspect of a goal-oriented regime. It is acknowledged that risk cannot be eliminated but must be managed. There is nowadays an enormous drive and enthusiasm in various industries and in society as a whole to implement risk management in organizations. There are high expectations that risk management is the proper framework through which to achieve high levels of performance.Risk management involves achieving an appropriate balance between realizing opportunities for gain and minimizing losses. It is an integral part of good management practice and an essential element of good corporate governance. It is an iterative process consisting of steps that, when undertaken in sequence, can lead to a continuous improvement in decision-making and facilitate a continuous improvement in performance.To support decision-making regarding design and operation, risk analyses are carried out. They include the identification of hazards and threats, cause analyses, consequence analyses, and risk descriptions. The results are then evaluated. The totality of the analyses and the evaluations are referred to as risk assessments. Risk assessment is followed by risk treatment, which is a process involving the development and implementation of measures to modify the risk, including measures designed to avoid, reduce (“optimize”), transfer, or retain the risk. Risk transfer means sharing with another party the benefit or loss associated with a risk. It is typically affected through insurance. Risk management covers all coordinated activities in the direction and control of an organization with regard to risk.In many enterprises, the risk management tasks are divided into three main categories: strategic risk, financial risk, and operational risk. Strategic risk includes aspects and factors that are important for the e nterprise’s long-term strategy and plans,for example mergers and acquisitions, technology, competition, political conditions, legislation and regulations, and labor market. Financial risk includes the enterprise’s financial situation, and includes: Market risk, associated with the costs of goods and services, foreign exchange rates and securities (shares, bonds, etc.). Credit risk, associated with a debtor’s failure to meet its obligations in accordance with agreed terms. Liquidity risk, reflecting lack of access to cash; the difficulty of selling an asset in a timely manner. Operational risk is related to conditions affecting the normal operating situation: Accidental events, including failures and defects, quality deviations, natural disasters. Intended acts; sabotage, disgruntled employees, etc. Loss of competence, key personnel. Legal circumstances, associated for instance, with defective contracts and liability insurance.For an enterprise to become successful in its implementation of risk management, top management needs to be involved, and activities must be put into effect on many levels. Some important points to ensure success are: the establishment of a strategy for risk management, i.e., the principles of how the enterprise defines and implements risk management. Should one simply follow the regulatory requirements (minimal requirements), or should one be the “best in the class”? The establishment of a risk management process for the enterprise, i.e. formal processes and routines that the enterprise is to follow. The establishment of management structures, with roles and responsibilities, such that the risk analysis process becomes integrated into the organization. The implementation of analyses and support systems, such as risk analysis tools, recording systems for occurrences of various types of events, etc. The communication, training, and development of a risk management culture, so that the competence, understanding, and motivation level within the organization is enhanced. Given the above fundamentals of risk management, the next step is to develop principles and a methodology that can be used in practical decision-making. This is not, however, straightforward. There are a number of challenges and here we address some of these: establishing an informative risk picture for the various decision alternatives, using this risk picture in a decision-making context. Establishing an informative risk picture means identifying appropriate risk indices and assessments ofuncertainties. Using the risk picture in a decision making context means the definition and application of risk acceptance criteria, cost benefit analyses and the ALARP principle, which states that risk should be reduced to a level which is as low as is reasonably practicable.It is common to define and describe risks in terms of probabilities and expected values. This has, however, been challenged, since the probabilities and expected values can camouflage uncertainties; the assigned probabilities are conditional on a number of assumptions and suppositions, and they depend on the background knowledge. Uncertainties are often hidden in this background knowledge, and restricting attention to the assigned probabilities can camouflage factors that could produce surprising outcomes. By jumping directly into probabilities, important uncertainty aspects are easily truncated, and potential surprises may be left unconsidered.Let us, as an example, consider the risks, seen through the eyes of a risk analyst in the 1970s, associated with future health problems for divers working on offshore petroleum projects. The analyst assigns a value to the probability that a diver would experience health problems (properly defined) during the coming 30 years due to the diving activities. Let us assume that a value of 1 % was assigned, a number based on the knowledge available at that time. There are no strong indications that the divers will experience health problems, but we know today that these probabilities led to poor predictions. Many divers have experienced severe health problems (Avon and Vine, 2007). By restricting risk to the probability assignments alone, important aspects of uncertainty and risk are hidden. There is a lack of understanding about the underlying phenomena, but the probability assignments alone are not able to fully describe this status.Several risk perspectives and definitions have been proposed in line with this realization. For example, Avon (2007a, 2008a) defines risk as the two-dimensional combination of events/consequences and associated uncertainties (will the events occur, what the consequences will be). A closely related perspective is suggested by Avon and Renan (2008a), who define risk associated with an activity as uncertaintyabout and severity of the consequences of the activity, where severity refers to intensity, size, extension, scope and other potential measures of magnitude with respect to something that humans value (lives, the environment, money, etc.). Losses and gains, expressed for example in monetary terms or as the number of fatalities, are ways of defining the severity of the consequences. See also Avon and Christensen (2005).In the case of large uncertainties, risk assessments can support decision-making, but other principles, measures, and instruments are also required, such as the cautionary/precautionary principles as well as robustness and resilience strategies. An informative decision basis is needed, but it should be far more nuanced than can be obtained by a probabilistic analysis alone. This has been stressed by many researchers, e.g. Apostolicism (1990) and Apostolicism and Lemon (2005): qualitative risk analysis (QRA) results are never the sole basis for decision-making. Safety- and security-related decision-making is risk-informed, not risk-based. This conclusion is not, however, justified merely by referring to the need for addressing uncertainties beyond probabilities and expected values. The main issue here is the fact that risks need to be balanced with other concerns.When various solutions and measures are to be compared and a decision is to be made, the analysis and assessments that have been conducted provide a basis for such a decision. In many cases, established design principles and standards provide clear guidance. Compliance with such principles and standards must be among the first reference points when assessing risks. It is common thinking that risk management processes, and especially ALARP processes, require formal guidelines or criteria (e.g., risk acceptance criteria and cost-effectiveness indices) to simplify the decision-making. Care must; however, be shown when using this type of formal decision-making criteria, as they easily result in a mechanization of the decision-making process. Such mechanization is unfortunate because: Decision-making criteria based on risk-related numbers alone (probabilities and expected values) do not capture all the aspects of risk, costs, and benefits, no method has a precision that justifies a mechanical decision based on whether the result is overor below a numerical criterion. It is a managerial responsibility to make decisions under uncertainty, and management should be aware of the relevant risks and uncertainties.Apostolicism and Lemon (2005) adopt a pragmatic approach to risk analysis and risk management, acknowledging the difficulties of determining the probabilities of an attack. Ideally, they would like to implement a risk-informed procedure, based on expected values. However, since such an approach would require the use of probabilities that have not b een “rigorously derived”, they see themselves forced to resort to a more pragmatic approach.This is one possible approach when facing problems of large uncertainties. The risk analyses simply do not provide a sufficiently solid basis for the decision-making process. We argue along the same lines. There is a need for a management review and judgment process. It is necessary to see beyond the computed risk picture in the form of the probabilities and expected values. Traditional quantitative risk analyses fail in this respect. We acknowledge the need for analyzing risk, but question the value added by performing traditional quantitative risk analyses in the case of large uncertainties. The arbitrariness in the numbers produced can be significant, due to the uncertainties in the estimates or as a result of the uncertainty assessments being strongly dependent on the analysts.It should be acknowledged that risk cannot be accurately expressed using probabilities and expected values. A quantitative risk analysis is in many cases better replaced by a more qualitative approach, as shown in the examples above; an approach which may be referred to as a semi-quantitative approach. Quantifying risk using risk indices such as the expected number of fatalities gives an impression that risk can be expressed in a very precise way. However, in most cases, the arbitrariness is large. In a semi-quantitative approach this is acknowledged by providing a more nuanced risk picture, which includes factors that can cause “surprises” r elative to the probabilities and the expected values. Quantification often requires strong simplifications and assumptions and, as a result, important factors could be ignored or given too little (or too much) weight. In a qualitative or semi-quantitative analysis, amore comprehensive risk picture can be established, taking into account underlying factors influencing risk. In contrast to the prevailing use of quantitative risk analyses, the precision level of the risk description is in line with the accuracy of the risk analysis tools. In addition, risk quantification is very resource demanding. One needs to ask whether the resources are used in the best way. We conclude that in many cases more is gained by opening up the way to a broader, more qualitative approach, which allows for considerations beyond the probabilities and expected values.The traditional quantitative risk assessments as seen for example in the nuclear and the oil & gas industries provide a rather narrow risk picture, through calculated probabilities and expected values, and we conclude that this approach should be used with care for problems with large uncertainties. Alternative approaches highlighting the qualitative aspects are more appropriate in such cases. A broad risk description is required. This is also the case in the normative ambiguity situations, as the risk characterizations provide a basis for the risk evaluation processes. The main concern is the value judgments, but they should be supported by solid scientific assessments, showing a broad risk picture. If one tries to demonstrate that it is rational to accept risk, on a scientific basis, too narrow an approach to risk has been adopted. Recognizing uncertainty as a main component of risk is essential to successfully implement risk management, for cases of large uncertainties and normative ambiguity.A risk description should cover computed probabilities and expected values, as well as: Sensitivities showing how the risk indices depend on the background knowledge (assumptions and suppositions); Uncertainty assessments; Description of the background knowledge, including models and data used.The uncertainty assessments should not be restricted to standard probabilistic analysis, as this analysis could hide important uncertainty factors. The search for quantitative, explicit approaches for expressing the uncertainties, even beyond the subjective probabilities, may seem to be a possible way forward. However, such an approach is not recommended. Trying to be precise and to accurately express what is extremely uncertain does not make sense. Instead we recommend a more openqualitative approach to reveal such uncertainties. Some might consider this to be less attractive from a methodological and scientific point of view. Perhaps it is, but it would be more suited for solving the problem at hand, which is about the analysis and management of risk and uncertainties.Source: Terje Aven. 2010. “Risk Management”. Risk in Technological Systems, Oct, p175-198.译文:风险管理本章回顾和讨论风险管理的基本问题和原则,包括:风险可接受性(耐受性)、风险削减和安全风险管理原则、警示和预防原则,并提出了一个研究案例,说明在实际管理环境中这些问题和原则的重要性。
Simple Linear Regression

Regression Line
If the scatter plot of our sample data suggests a linear relationship between two variables i.e.
y 0 1x
Point Estimation of Mean Response
Fitted values for the sample data are obtained by substituting the x value into the estimated regression function.
Example
The weekly advertising expenditure (x) and weekly
sales (y) are presented in the following table.
y
x
1250
41
1380
54
1425
63
1425
54
1450
48
1300
46
1400
62
b1
n xy x y n x2 ( x)2
10(818755) (564)(14365) 10(32604) (564)2
10.8
b0 1436 .5 10.8(56.4) 828
Point Estimation of Mean Response
The estimated regression function is:
160
find a functional relation 140
克罗韦尔 PRD.数据 电缆-460V AC SERVMTR 数据表

1326 Cables for 460V AC Servo MotorsProduct DataThis publication provides product information about cables for use with Bulletin1326 (460V) AC Servomotors and the Bulletin 1394 Motion Control System. Thispublication includes:•Solution examples for cable accessories•Dimensional information•Interconnection tables•Bend radius and installation instructions2Servomotor Cable Series B Power cables (catalog number 1326-CPB1 and 1326-CPC1)and commutation cables (catalog number 1326-CCU and 1326-CECU) are available in lengths up to 90 m (295 ft) for standard, one-time flex applications. (PLTC 90° C 300V, AWM 90° C 300V for1326-CCU and 1326-CECU, type TC 90° C 600V for 1326-CPB1and 1326-CPC1.) Each cable features:•UL Listed (file #E88699) cable assemblies.• A braided cable shield for superior electromagnetic noiseimmunity.•Molded push/pull connectors at the motor end for easyinstallation and maintenance.Cable systems for 1394 Motion Control System:•Standard single-connector cables.•Right-angle connector cables.•In-line system that uses bulkhead and double-ended cables.•Harsh environment cables.•High-resolution feedback cables.Allen-Bradley also offers high flex-rated cable for power-trackapplications. Power cables (catalog number 1326-CPB1T and 1326-CPC1T) and commutation cables (catalog number 1326-CCUT and1326-CECUT) are available in lengths up to 90 m (295 ft). In additionto the features listed for standard cables, each flex-cable featuresexcellent minimum bend radius ratings and a superior flex cycle life. Publication 1326A-2.11 - May 19983Publication 1326A-2.11 - May 1998Motor Power CablesType Bulletin Number1326FunctionMotor Size Used On Flex Cable Option Connector Accessory C = Connector and cable assembly P = Power connectionB1 = Power cable for 1326AB-B4xx and 1326AB-B5xx C1 = Power cable for 1326AB-B7xx T = Flex-rated cable for high-flex applications Blank = No option, standard cable Blank = Single-standard connectorD = Double-ended, standard connectorE = Bulkhead connectorEE = Double-ended, bulkhead connector RA = Right-angle connector RB = Right-angle connector IP Rating Cable LengthBlank = IP65L = IP67, harsh environment 005 = 5m (16.4 ft.)015 = 15m (49.2 ft.)030 = 30m (98.4 ft.)060 = 60m (196.8 ft.)084 = 84m (275.5 ft.)090 = 90m (295.2 ft.)4Publication 1326A-2.11 - May 1998Motor Feedback CablesType Bulletin Number1326FunctionMotor Size Used On Flex Cable Option Connector Accessory C = Connector and cable assembly C = Resolver feedback EC = High-resolutionU = Commutation and encoder cable for all series motors.T = Flex-rated cable for high-flex applications Blank = No option, standard cable Blank = Single-standard connectorD = Double-ended, standard connectorE = Bulkhead connectorEE = Double-ended, bulkhead connector RA = Right-angle connector RB = Right-angle connector IP Rating Cable LengthBlank = IP65L = IP67, harsh environment 005 = 5m (16.4 ft.)015 = 15m (49.2 ft.)030 = 30m (98.4 ft.)060 = 60m (196.8 ft.)084 = 84m (275.5 ft.)090 = 90m (295.2 ft.)5Publication 1326A-2.11 - May 1998Connection SolutionsSeveral accessories are available with 460 volt 1326 cables. This section highlights the most common application used with each accessory, including:•Right-angle connection.•CE-compliant in-line connection.•Remote in-line connection.•Harsh environment connection.•Double-ended bulkhead in-line connection.Right-Angle ConnectionThis solution provides a low-profile right-angle connection at the motor.Figure 1Right-Angle Connector Cables13941326-CCU-RAx/-CECU-RAL (feedback)and 1326-CPB1-RAx/-CPC1-RAx (power)1326Ax Servo Motors (460V)1326-CCU-RBx/CECU-RBL (feedback)and 1326-CPB1-RBx/-CPC1-RBx (power)connector keyed with shaft exitconnector keyed with rear exit6Publication 1326A-2.11 - May 1998CE-Compliant In-Line ConnectionThis solution allows for a quick connect or disconnect at the cabinetwall while meeting CE requirements. Link bulkhead and double-ended cables to create an interconnect in a single cable run.Figure 2Bulkhead and Double-Ended Connector CablesRemote In-Line ConnectionThis solution provides a connection outside of a cabinet that uses flexand nonflex cables together for cost reduction.Figure 3Remote Bulkhead Connection13941326Ax Servo Motor (460V)Optional mountingthrough conductive(metal) wallMaximum width4.623 mm (0.182 in)1326-CCUx-D (feedback) and1326-CPB1-D/-CPC1-D (power)1326-CCUx-E (feedback) or1326-CPB1-E/-CPC1-E (power)13941326Ax Servo Motor (460V)Bracket mount(not provided)Maximum width4.623 mm (0.182 in)1326-CCUx-D (feedback) and1326-CPB1-D/-CPC1-D (power)1326-CCUx-E (feedback) or1326-CPB1-E/-CPC1-E (power)7Publication 1326A-2.11 - May 1998Harsh Environment ConnectionUse the IP67 cable (with the -L option) with an L motor for harsh environments.Figure 4Harsh Environment ConnectionDouble-Ended Bulkhead In-Line ConnectionThis solution combines flex and nonflex cables for a single run. Shown below are two disconnects in a single cable run with a double-ended bulkhead, a double-ended standard, and a standard cable.Figure 5Standard, Double-Ended Bulkhead, and Double-Ended Cable for In-Line Connection to Flex Track13941326A x -xxx x-21-xx LIP67 Servo Motor (460V)1326-CCU x -x L-xxx (resolver feedback) or1326-CECU x -x L-xxx (high-resolution feedback) 1326-CPB1-x L-xxx /-CPC1-x L-xxx (power)1326Ax Servo Motor (460V)1326-CCUT-EE (flex feedback)and 1326-CPB1T-EE/-CPC1T-EE (flex power)Power Track (not provided)1326-CCU-D (feedback)and 1326-CPB1-D/-CPC1-D (power)1394Brackets(not provided)Maximum width4.623 mm (0.182 in)8Publication 1326A-2.11 - May 1998Linear-flex is defined as flex in one direction. The flex-rated cable is not rated for twist-flex, which is flex in two directions. Power track (linear-flex) cabling must not be used in twist applications.Standard Allen-Bradley cables—1326-CCU-xxx for commutation and 1326-CPB1-xxx or 1326-CPC1-xxx for power—are tray-rated (stationary) and should only be used for one-time flex applications.•Power track cabling is required for applications where dynamic linear flexing occurs. Use the following cables for theseapplications:•1326-CCUT-xxx (commutation for all motors)•1326-CPB1T-xxx (power for 1326AS-B3xxx and 1326AS-B4xxx motors)•1326-CPC1T-xxx (power for 1326AS-B6xxx and 1326AS-B8xxx motors)Allen-Bradley high-flex cables have excellent minimum bend radius specifications and a long flex cycle life in linear flex applications. The cycle life of linear-flex cable is directly related to the cable’s bend radius in the power track. Refer to the graphs on the following page for Bend Radius vs. Cycle Life specifications.9Publication 1326A-2.11 - May 1998Dimensional Information Standard Connector DimensionsThe section below provides dimensions, flex-cable specifications, and interconnect information for the various 1326 cables.Figure 6Motor Power & Feedback Cable DimensionsPowerCommutationConnector Max. Dia.Cable Max. Dia.BRCHCable DescriptionCH 1mm (in.)BR 2mm (in.)Connector Max. Dia. without -L option Connector Max. Dia. with -L option Cable Max. Dia.1326-CPB1-xxx Standard power cable for 1326AS-B3xxx and 1326AS-B4xxx110.0 (4.3)76.2 (3.0)43.2 (1.70)47 (1.85)14.0 (0.55)1326-CPB1T-xxxFlex-rated cable for 1326AS-B3xxx and 1326AS-B4xxx110.0 (4.3)104.1 (4.1)43.2 (1.70)47 (1.85)10.4 (0.41)1326-CPC1-xxxStandard power cable for 1326AS-B6xxx and 1326AS-B8xxx128.0 (5.0)76.2 (3.0)54.1 (2.13)57.2 (2.25)16.3 (0.64)1326-CPC1T-xxxFlex-rated power cable for 1326AS-B6xxx and 1326AS-B8xxx128.0 (5.0)160.2 (6.3)54.1 (2.13)57.2 (2.25)16.0 (0.63)1326-CCU-xxxStandard commutation feedback cable for motor resolver110.0 (4.3)50.8 (2.0)36.6 (1.44)40.4 (1.59)11.0 (0.43)1326-CCUT-xxxFlex-rated commutation feedback cable for motor resolver110.0 (4.3)101.6 (4.0)36.6 (1.44)40.4 (1.59)10.1 (0.40)1326-CECU-RAx-xxx, 1326-CECU-RBx-xxx High-resolution feedback, right-angle (shaft exit and rear exit) is available in 5,15, 30, 60, and 90m.87.4 (3.44)115 (4.5)36.6 (1.44)40.4 (1.59)11.5 (0.45)1326-CECUT-RAx-xxx, 1326-CECUT-RBx-xxx High-flex, high-resolution feedback, right-angle (shaft exit and rear exit) isavailable in 5, 15, 30, 60, and 90m.87.4 (3.44)120 (4.7)36.6 (1.44)40.4 (1.59)11.5 (0.45)1CH is described as the cable connector height.2BR (bend radius) is described as the specified bend radius for standard 1326 cable assemblies. BR may vary on user-fabricated cables. For standard cable, BR is a one-time flex application. Flex cables have a much higher BR to withstand flex applications.All cables should be hung or laid flat for 24 hours prior to installation. This will allow the conductors to relax into their natural state and guards against internal twisting.10Publication 1326A-2.11 - May 1998Right-Angle Connector DimensionsThe following table shows connector height and width. For 1326-xxx-RAL-xxx and 1326-xxx-RBL-xxx cables, the diameter at theconnector bellows is also given.Cable Heightmm (in)RA or RBDiametermm (in)RAL or RBLDiametermm (in)Bend Radius1326-CCU-RA-xxx and -RB-xxx65.78 (2.59)36.83 (1.45)N/A50.8 (2.0)1326-CCUT-RA-xxx and -RB-xxx66.80 (2.63)36.83 (1.45)N/A101.6 (4.0)1326-CCU-RAL-xxx and -RBL-xxx66.80 (2.63)40.38 (1.59)38.61 (1.52)50.8 (2.0)1326-CCUT-RAL-xxx and -RBL-xxx66.80 (2.63)40.38 (1.59)38.61 (1.52)101.6 (4.0)1326-CECU-RAL-xxx and -RBL-xxx66.80 (2.63)40.38 (1.59)38.61 (1.52)115 (4.5)1326-CECUT-RAL-xxx and -RBL-xxx66.80 (2.63)40.38 (1.59)38.61 (1.52)120 (4.7)1326-CPB1-RA-xxx and -RB-xxx68.58 (2.70)43.18 (1.70)N/A76.2 (3.0)1326-CPB1T-RA-xxx and -RB-xxx68.58 (2.70)43.18 (1.70)N/A104.1 (4.1)1326-CPB1-RAL-xxx and -RBL-xxx69.85 (2.75) 46.99 (1.85)45.47 (1.79)76.2 (3.0)1326-CPB1T-RAL-xxx and -RBL-xxx69.85 (2.75)46.99 (1.85)45.47 (1.79)104.1 (4.1)1326-CPC1-RA-xxx and -RB-xxx84.07 (3.31)54.36 (2.14)N/A76.2 (3.0)1326-CPC1T-RA-xxx and -RB-xxx84.07 (3.31)54.36 (2.14)N/A160.2 (6.3)1326-CPC1-RAL-xxx and -RBL-xxx84.07 (3.31)57.15 (2.25)55.37 (2.18)76.2 (3.0)1326-CPC1T-RAL-xxx and -RBL-xxx84.07 (3.31)57.15 (2.25)55.37 (2.18)160.2 (6.3)HeightDiameterHeightDiameterDiameterat bellows1326-xxx-RA-xxxand 1326-xxx-RB-xxx1326-xxx-RAL-xxxand 1326-xxx-RBL-xxx11Publication 1326A-2.11 - May 1998Bulkhead Connector DimensionsThe following tables show dimensions for 1326-CCU-E x , 1326-CPB1x -E x , and 1326-CPC1x -E x cables.Note:You do not need to attach the bulkhead cables to a cabinet wall, but you do need to follow the information inGuidelines for Connecting Bulkhead and Double-Ended Cables .1326 CableScrew descriptionDiameter ofmounting holes mm (in)Distance between centers ofmounting holes mm (in)Diameter of connector mm (in)Diameter of connector opening mm (in)Bend Radius1326-CCU-E-xxx 1326-CCUT-E-xxx 1326-CCUT-EE-xxx 1326-CCU-EL-xxx 1326-CCUT-EL-xxx 4/40 3/8in3.353 (0.132)26.975 (1.062)28.575 (1.125)30.163 (1.188)CCU11.0 (0.43)CCUT10.1 (0.40)1326-CPB1-E-xxx 1326-CPB1T-E-xxx 1326-CPB1T-EE-xxx 1326-CPB1-EL-xxx 1326-CPB1T-EL-xxx 4/40 3/8in 3.353 (0.132)31.75 (1.25)34.925 (1.375)36.513 (1.438)CPB1140 (0.55)CPB1T x 10.4 (0.41)1326-CPC1-E-xxx 1326-CPC1T-E-xxx 1326-CPC1T-EE-xxx 1326-CPC1-EL-xxx 1326-CPC1T-EL-xxx6/32 3/8in 3.810 (0.150)39.675 (1.562)43.637 (1.718)45.225 (1.781)CPC1116.3 (0.64)CPC1T x 16.0 (0.63)Diameter ofmounting holesDistancebetween centers of mounting holes Diameter ofconnector openingWall surface4.623 mm (0.182 in)Maximum width of cabinet wallA BBulkhead connector diameter Wall's opening for diameter of connector12Publication 1326A-2.11 - May 1998Wiring Information1326-CCU-xxx Standard Commutation Cable for Motor Resolver1326-CCUT-xxx Flex Rated Commutation Feedback Cable for Motor Resolver1326-CECU-xx L-xxx High Resolution Feedback Cable for High-Resolution Motors OnlyWire Color Gauge mm 2 (AWG)Connector PinSystem Module Terminal #Black (Axis_0_R1)0.518 (20)A 1White (Axis_0_R2)0.518 (20)B6Shield - Drain 0.518 (20)no connection 2Black (Axis_0_S1)0.518 (20)D 3Red (Axis_0_S3)0.518 (20)E8Shield - Drain 0.518 (20)no connection 7Black (Axis_0_S4)0.518 (20)H 9Green (Axis_0_S2)0.518 (20)G4Shield - Drain 0.518 (20)no connection 5Overall ShieldN/Ano connection 10Wire Color Gauge mm 2 (AWG)Connector PinSystem Module Terminal #Black (Axis_0_R1)0.518 (20)A 1White (Axis_0_R2)0.518 (20)B6Shield0.518 (20)no connection 2Black (Axis_0_S1)0.518 (20)D 3Red (Axis_0_S3)0.518 (20)E8Shield0.518 (20)no connection 7Black (Axis_0_S4)0.518 (20)H 9Green (Axis_0_S2)0.518 (20)G4Shield0.518 (20)no connection 5Overall ShieldN/Ano connection 10Wire color Gauge mm 2 (AWG)Connector pinSystem module terminal #Black (power)0.518 (20)A 3White (ground)0.518 (20)B2Shield0.518 (20)no connection no connection Black (ChA_LO)0.518 (20)C 11Red (ChA_HI)0.518 (20)D 12Shield0.518 (20)I 10Black (ChB_LO)0.518 (20)E 8Blue (ChB_HI)0.518 (20)F 9Shield0.518 (20)I 7 Black (Comm_HI)0.518 (20)G 6Green (Comm_LO)0.518 (20)H 5Shield0.518 (20)I 4Overall ShieldN/AJ113Publication 1326A-2.11 - May 19981326-CPB1-xxx Standard Motor Power Cable for 1326AS-B3xxx and 1326AS-B4xxx Servomotors1326-CPC1-xxx Standard Power Cable for the 1326AS-B6xxx and 1326AS-B8xxx Servomotors1326-CPB1T-xxx Flex Rated Power Cable for 1326AS-B3xxx and 1326AS-B4xxx ServomotorsWire Number Wire Color Gauge mm 2 (AWG)Connector Pin 1394Terminal 1(Power)Black 1.29 (16)1U12(Power)Black 1.29 (16)2V13(Power)Black 1.29 (16)3W14(Brake)Black 1.29 (16)4TB1-35(Thermostat)Black 1.29 (16)5TB1-26(Brake)Black 1.29 (16)6TB1-47(GND)Drain Wire 1.29 (16)7PE38(GND)Black 1.29 (16)8PE29(Thermostat)Black 1.29 (16)9TB1-1ShieldShieldN/Ano connectionGround StudWire Number Wire Color Gauge mm 2(AWG)Connector Pin 1394Terminal 1(Power)Black 2.59 (10)1U12(Power)Black 2.59 (10)2V13(Power)Black 2.59 (10)3W14(Brake)Black 1.29 (16)4TB1-35(Thermostat)Black 1.29 (16)5TB1-26(Brake)Black 1.29 (16)6TB1-47(GND)Drain Wire 2.05 (12)7PE38(GND)Black 2.05 (12)8PE29(Thermostat)Black 1.29 (16)9TB1-1ShieldShieldN/Ano connectionGround StudWire Number Wire Color Gauge mm 2 (AWG)Connector Pin 1394Terminal 1(Power)White 1.29 (16)1U12(Power)White 1.29 (16)2V13(Power)White 1.29 (16)3W14(Brake)White 1.29 (16)4TB1-35(Thermostat)White 1.29 (16)5TB1-26(Brake)White1.29 (16)6TB1-47(GND)Overall Shield 1.29 (16)7PE38(GND)White 1.29 (16)8PE29(Thermostat)White1.29 (16)9TB1-114Publication 1326A-2.11 - May 19981326-CPC1T-xxx Flex Rated Power Cable for the 1326AS-B6xxx 1326AS-B8xxx Servomotors1326-CECUT-xx L-xxx Flex-Rated High-Resolution Feedback Cable for High-Resolution Motor OnlyWire Number Wire Color Gaugemm2 (AWG)ConnectorPin1394Terminal1(Power)White 2.59 (10)1U12(Power)White 2.59 (10)2V13(Power)White 2.59 (10)3W14(Brake)White 1.29 (16)4TB1-35(Thermostat)White 1.29 (16)5TB1-26(Brake)White 1.29 (16)6TB1-47(GND)Overall Shield 2.05 (12)7PE38(GND)White 2.05 (12)8PE29(Thermostat)White 1.29 (16)9TB1-1Wire color Gaugemm2 (AWG)Connector pin System moduleterminal #Black (power)0.518 (20)A3White (ground)0.518 (20)B2Shield0.518 (20)no connection no connectionBlack (ChA_LO)0.518 (20)C11Red (ChA_HI)0.518 (20)D12Shield0.518 (20)I10Black (ChB_LO)0.518 (20)E8Blue (ChB_HI)0.518 (20)F9Shield0.518 (20)I7Black (Comm_HI)0.518 (20)G6Green (Comm_LO)0.518 (20)H5Shield0.518 (20)I4Overall Shield N/A J115Publication 1326A-2.11 - May 1998Bend Radius Information .Figure 7Flex Cycle Life vs. Cable Bend RadiusFigure 8Flex Cycle Life vs. % Change in Cable Bend RadiusRated Bend Radius in mm and (inches)1326-CCUT 101.6 (4.0)1326-CPB1T 104.1 (4.1)1326-CPC1T160.2 (6.3)16Publication 1326A-2.11 - May 1998Installation Guidelines Power Track Installation GuidelinesFollow the guidelines below to maintain power track reliability:•Always follow installation instructions of the cable manufacturer.•Remove twists, bends and kinks from the cable before installing it in the cable carrier.•It is important to lay out the cabling at least 24 hours before installation to relax any stresses resulting from transit or storage.•When placing the cable into the cable carrier, the carrier should be laid out flat with the bending direction facing upward. It should then be fitted with the cables in working position. The cables should be laid into the cable carrier and not woven between or around other cables.•Allow at least 10% clearance between cables so that they are free to move. Use separators between cables.•The cables must be free to move within the carrier. Do not attach the cables to the carrier or to each other. Clamp cables beyond the ends of the carrier. Cycle the carrier several times before clamping.•Clamp heavier cables toward the edge of the track and lighter cables in the center of the track.•Do not pull cables tight against the inner/outer track curves.Bulkhead Connector AssemblyThe graphic below shows the side view of the bulkhead connector attached by screws and protruding though the flange and aconductive wall (e.g., metal cabinet). The front view shows the pins of the attached bulkhead connector protruding through the wall.A BOutline of the mating Conductive (metal) wallconnectorOvermold,black pvcBED C18-1IAG FJHFront view Side view17Publication 1326A-2.11 - May 1998Bulkhead Installation Through a Cabinet WallTo prepare a cabinet wall for mounting the bulkhead connector:1.Locate the area of the cabinet wall where you will mount the bulkheadconnector.2.Mark the places where the four mounting holes and the center connectoropening will be located.3.Drill the four mounting holes and the large center opening.4.Scrape any paint from the inside surface of the cabinet wall where thebulkhead flange of the 1326-CPB1-E-xxx , 1326-CPB1T-E-xxx, 1326-CPC1-E-xxx, or 1326-CPC1T-E-xxx cables will make contact.Note:All series B cable connectors are treated with a black, highly-conductive,cobalt coating. Do not scrape this coating.Important: A metal-to-metal connection is required to meet CE Compliancestandards.5.Remove the viton seal from the face of the connector for 1326-CCU-EL-xxx ,1326-CPB1-EL-xxx , and 1326-CPC1-EL-xxx cables to provide clearance for the cabinet wall. The connection at the cabinet wall will be IP65.6.Attach the bulkhead connector through the wall, as shown:!ATTENTION:To avoid a shock hazard, remove power to the motor controller and motor before installing or removing cables. Failure to do this can cause personal injury.A B4.623 mm (0.182 in)Maximum width of cabinet wall18Publication 1326A-2.11 - May 1998Double-Ended Bulkhead ConnectorsThe 1326-xxx-D-xxx and the 1326-xxx-EE-xxx connectors havemale pins on one end and female pins on the other end. Guidelines for Connecting Bulkhead and Double-Ended CablesThe guidelines for connecting bulkhead and standard cables are:• A standard connector can only connect to a bulkheadconnector or a 460V-1326Ax motor.• A bulkhead connector can only connect to a standard connector.•When connecting a bulkhead to a standard connector, one connector must have male pins and the other must havefemale pins.•Though cables designated with the L option can be connected to cables or motors without this option, the resultingconnection will not have the L option.•The length of a cable run cannot exceed 90 meters. Installing Right-Angle Connector CablesRight-angle connectors are keyed for correct orientation. The orientation of the 1326 cables attached with right-angle connectors in relation to the motor shaft is shown below:ABALLEN-BRADLEYABStandard Bulkhead1326-xxx-RA-xxx and 1326-xxx-RAL-xxxcables exit towards the motor shaft19 1326-xxx-RB-xxx and 1326-xxx-RBL-xxxcables exit away from the motor shaftPublication 1326A-2.11 - May 1998Publication 1326A-2.11 - May 1998 PN# 191371© 1998 Rockwell International. All Rights Reserved. Printed in USA。
翻译讲义(18)

作业讲评In the future days, which we seek to make secure, we look forward to a world founded upon four essential human freedoms.The first is freedom of speech and expression--everywhere in the world.The second is freedom of every person to worship God in his own way everywhere in the world.The third is freedom from want, which, translated into world terms, means economic understandings which will secure to every nation a healthy peacetime life for its inhabitants--everywhere in the world.The fourth is freedom from fear, which, translated into world terms, means a world-wide reduction of armaments to such a point and in such a thorough fashion that no nation will be in a position to commit an act of physical aggression against any neighbor -- anywhere in the world.参考译文(1):我们期待,在我们尽力确保安定的未来日子里,能够建立一个基于人类不可缺少的四大自由之上的世界。
线性代数英文专业词汇

44
an adjoint matrix
伴随矩阵
45
singular matrix
奇异矩阵
46
nonsingular matrix
非奇异矩阵
47
elementary transformations
初等变换
48
vectors
向量
49
components
分量
50
linearly combination
坐标变换
转置行列式
10
triangular determinants
三角行列式
11
the number of inversions
逆序数
12
even permutation
奇排列
13
odd permutation
偶排列
14
parity
奇偶性
15
interchange
互换
16
absolute value
绝对值
17
identity
恒等式
18
n-order determinants
n阶行列式
19
evaluation of determinant
行列式的求值
20
Laplace’s expansion theorem
拉普拉斯展开定理
21
cofactor
余子式
22
Algebra cofactor
代数余子式
23
the Vandermonde determinant
线性组合
51
space of arithmetical vectors
医学英语翻译

医学含义 白内障
结肠
阵发, 痉挛
滴注
抑郁症
宿主
肿块,肿瘤
休克
齿龈
第七页,编辑于星期六:十八点 四十分。
More samples
1. 1. Asthma(哮喘) is not a disease entity but one form of clinical presentation of a variety of disorders
医学英语语法结构特点
1 . 大量使用名词化结构。 大量使用名词化结构( Nominalization ) 是医学英语 的特点之一, 因为医学文体要求行文简洁、表达客 观、内容确切、信息量大、强调存在的事实, 而非 某一行为。
第十六页,编辑于星期六:十八点 四十分。
Sample 1a. The molecules of substance are moving about all
一个体态臃肿的人因昨晚酗酒而呈现痛苦面容与呼吸困难的危 急状况。
第四页,编辑于星期六:十八点 四十分。
sample 3: As term approaches, there is a good
possibility of complications. term:学期、期间、术语: 预产期、足孕 译: 随着预产期的临近,并发症发生的可能性极 大。
a relatively routine technique in many laboratories, it is unlikely that such methods will be expended to human embryos, both for moral and technical reasons. 目前,尽管在许多实验室里,培养携带异体基因 的转基因动物已成为一项常规技术,但由于伦理 和技术方面的原因,这项技术还不可能扩展应用 到人体胚胎。
[指南]苏教版初中数学教科书英语单词
![[指南]苏教版初中数学教科书英语单词](https://img.taocdn.com/s3/m/651bfe043069a45177232f60ddccda38376be125.png)
[指南]苏教版初中数学教科书英语单词正数 positive number负数 negative number 整数 integer分数 fraction有理数 rational number 原点 origin数轴 number axis绝对值 absolute value 相反数 opposite number 加法 addition减法 subtraction 乘法 multiplication 乘法分配律 distributive law 倒数 reciprocal 除法 division乘方 power幂 power底数 base number 指数 exponent 科学记数法 scientific notation代数式 algebraic expression单项式 monomial 系数 coefficient 多项式polynomial 整式 integral expression 同类项 like terms 合并同类项 unite like terms 一元一次方程 linear equation with one unknown 方程的解 solution of equation 解方程 solving equation 移项 moving terms 棱柱 prism棱锥 pyramid圆柱 circular cylinder 圆锥 circular cone 球 sphere棱 edge顶点 vertex点 point线 line面 surface线段 line segment 距离 distance射线 ray/half line直线 straight line/right line中点 middle point角 angle余角 complementary angle补角 supplementary angle对顶角 opposite angles平行线 parallel lines垂直 perpendicular垂足 foot of a perpendicular 垂线 perpendicular line同位角 corresponding angles 内错角 alternate interior angles 同旁内角 interior angle on the same side 平移 translation三角形的高 height of triangle 三角形的角平分线 angular bisector of triangle 三角形的中线 median of triangle 外角 exterior angle 完全平方公式 complete square formula平方差公式 difference of square formula公因式 common factor因式分解 factoring二元一次方程 linear equation with two unknowns 二元一次方程组 system of linear equations with two unknowns代入消元法 elimination by substitution 加减消元法 elimination by addition or subtraction 全等图形 congruent figures 全等三角形 congruenttriangles 对应边 corresponding sides 对应角 corresponding angles 普查thorough survey抽样调查 sampling survey总体 population个体 element样本 sample容量 size of a sample扇形统计图 sector statistical chart 频数 absolute frequency频率 relative frequency频数分布表 table of distribution of absolute frequencies直方图 histogram不可能事件 impossible event 必然事件 certain event随机事件 random event 概率 probability轴对称 line symmetry 对称轴 axis of symmetry 对称点 symmetric points 轴对称图形 axially symmetric figure垂直平分线 midpoint perpendicular梯形 trapezoid等腰梯形 isosceles trapezoid 平方根 square root开平方 extraction of square root 立方根 cube root开立方 extraction of cubic root 无理数 irrational number 实数 real number近似数 approximate number 有效数字 significant figure 旋转circumgyration中心对称 central symmetry 对称中心 symmetric centre中心对称图形 central symmetric figure平行四边形 parallelogram 矩形 rectangle菱形 rhombus正方形 square直角坐标系 rectangular coordinates X轴 x-axisY轴 y-axis坐标 coordinates常量 constant变量 variable函数 function图像 graph一次函数 linear function 算数平均数 arithmetic mean 权 weight加权平均数 weighted mean 中位数 median众数 mode不等式 inequality不等式的解 solution of inequality 解集 solution set一元一次不等式 linear inequality with one unknown一元一次不等式组 system of linear inequalities with one unknown 分式的约分 reduction of a fraction 分式的通分 reduction of fractions to a denominator最简公分母 simplest common denominator 分式方程 fractional equation 反比例函数 inverse proportional function 双曲线 hyperbola 比例中项 mean term of proportion黄金分割 golden section相似三角形 similar triangles 相似比 similarity ratio位似形 homothetic figures 平行投影 parallel projection 中心投影central projection 视点 vision-spot视线 vision-line盲区 blind area定义 definition命题 statement真命题 true statement假命题 false statement证明 proof定理 theorem树状图 tree derivation极差 range方差 variance标准差 standard deviation 二次根式 quadratic radical 同类二次根式quadratic radicals of the same type 一元二次方程 quadratic equation with one unknown圆 circle圆心 centre of a circle半径 radius弦 chord直径 diameter优弧 major arc劣弧 minor arc圆心角 central angle同心圆 concentric circles等圆 equal circle等弧 equal arc圆周角 angle in a circular segment 三角形的外接圆 circumcircle of triangle 外心 circumcenter圆的切线 tangent line内切圆 inscribed circle of triangle 内心 incenter圆周率 ratio of the circumference of a circle to its diameter扇形 sector圆锥的母线 generating line二次函数 quadratic function 抛物线 parabola正切 tangent正弦 sine余弦 cosine三角函数 trigonometric function 简单随机抽样 simple random sampling。
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Vol. 182, No. 1, 1998
FORMAL REDUCTION OF LINEAR DIFFERENCE SYSTEMS
Guoting Chen and Abdelmajid Fahim
The purpose of this paper is to give a reduction procedure for the construction of a Turrittin's canonical form associated with an invertible linear di erence system. The nilpotent case is treated by methods of deformation of orbits under the adjoint representation of GL( C). We prove also a statement on uniqueness.
n0 be the multiplicity of 1 and n00 = n ? n0.
1 X Am xm=q ;
where A 2 GL(n; Kq ); q 2 N . One can write A = matrix A or its associate system is said of level 0 if (2) of level 1 if (3)
P1
Ar+m m=0 x(r+m)=q .
De nition 1. Let p 2 N . We shall say that B 2 GL(n; Kp) is in canonical s 1 M Bi
form if B = xr=p x`i with i=1 1 r 2 Z, `i 2 p N, `1 < `2 < < `s , Bi 2 GL(n(i) ; Op ), n(i) 2 N , Pi n(i) = n, Bi = Lti=1
1 1
ord(0) = +1.
r ord(A) = max q j r 2 Z; A 2 x?r=q gl(n; Oq ) ;
37
38
GUOTING CHEN AND ABDELMAJID FAHIM
We consider systems of linear di erence equations of the form (1) (u) = Au
( )
2C ,
(i) 6= (i) for 6= n(i) n(i) identity ; r(i;)1 < r(i;)2 <
FORMAL REDUCTION OF DIFFERENCE SYSTEMS
39
We make the convention that for j (i) = 0, B (i) = I (i) . One may write a canonical form in some other equivalent forms. We have chosen these conditions to ensure uniqueness (Theorem 2). A canonical form for a di erence system (or a matrix) of level 1 is in the form
D + xrk + C k x where the Dj (1 j k) are nonzerro diagonal matrices, 0 < r1 < < rk are rational numbers and the matrix C commutes with the matrices Dj (1 j k). This special canonical form is the same as in the di erential case 1]. But for general di erence systems the canonical from is more complicated. We can state the result of Turrittin as follows:
Theorem 1. Let q 2 N and A 2 GL(n; Kq ). Then there exists p 2 qN
We will give an e ective method which proves the theorem in several steps. We treat at rst the case of matrices of level 0 in Section 2 and of level 1 in Section 5. We then consider the general case in Section 6. In Section 7 we establish a statement on uniqueness (Theorem 2) of the canonical form. The procedure is analogous to that used for di erential systems 1] in the case of level 1. There is a di erent phenomena which is unique to di erence systems. More precisely, for a complete reduction of a di erence system we need to do two reductions, one to reduce general di erence systems to the case of level 1 and another one to reduce a di erence system of level 1.
40
GUOTING CHEN AND ABDELMAJID FAHIM
(ii) q (Aq ) > 0. Let (Aq ) = f 1 ; 2 ; : : : ; p g with 1 ? 2 = q (Aq ). Let After a change of basis one can assume that ! 0 0 Aq = Aq A00 0
Hale Waihona Puke 2. Reduction of systems of level 0.
We begin by the reduction of systems of level 0. 0.
Proposition 1. Let q 2 N and A 2 GL(n; Kq ) be of level 0: Then there exists T 2 GL(n; Kq ) such that T A] = I + C with C 2 gl(n; C) and q (C ) = x
The
A=I+
m=q
A=I+
m=0
1 X Ar+m x(r+m)=q ; r 2 N ; 1 r < q; Ar 6= 0;
where I denotes the n n identity matrix. Let T 2 GL(n; Kq ). The change u = Tu transforms the system (1) to ~ (~) = Au u ~~ where (4) ~ A = T A] def (T )AT ?1 : = ~ We shall say that the matrices A; A (or the corresponding di erence systems) are equivalent (under GL(n; Kq )).
P
Proof. Write A = I + 1=q xAm . We distinguish two cases: m=q m (i) q (Aq ) = 0; then one can verify by direct computation the existence of T 2 GL(n; Oq ) such that T A] = I + Aq . x
n;
1. Introduction and notations.
Since Turrittin 8], the formal reduction of di erence systems or of di erence equations has been studied in many ways 4], 5], 7]. The di erent methods lead to the result of Turrittin either in forms of classi cation or in forms of formal solutions. To construct a canonical form for a given invertible linear di erence system with nilpotent leading matrix we proceed by using the theory of orbits under the adjoint action of GL(n; C) on gl(n; C) 1]. Though the reduction procedure of both the di erential and di erence systems is similar, we encounter some phenomena which do not appear in the di erential case. We shall use the following notations. K = C((1=x)) is the eld of formal power series with coe cients in C. is the C-automorphism of K de ned by (x) = x + 1. =q For q 2 N , x1S is a xed root of yq = x, Oq = C x 1=q ]], Kq = C(( x 1=q )), K = q2N Kq is the eld of formal Puisieux power series over C. 1 can be extended to K by (x1=q ) = x1=q (1 + x )1=q . For M 2 gl(n; C); q 2 N , (M ) denotes the set of eigenvalues of M and q (M ) = maxfj 2 N j 9 ; 2 (M ); ? = j=q g: For A 2 gl(n; Kq ), A 6= 0,