A General SU(2) Formulation for Quantum Searching with Certainty

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Kirchhoff's Rule for Quantum Wires

Kirchhoff's Rule for Quantum Wires

e-mail: kostrykin@t-online.de, kostrykin@ilt.fhg.de e-mail: schrader@physik.fu-berlin.de, Supported in part by DFG SFB 288 “Differentialgeometrie und Quantenphysik” 1 Published in J. Phys. A: Math. Gen. 32 (1999), 595-630.

∗1Biblioteka 1 Introduction
At present mesocopic quasi-one-dimensional structures like quantum [1, 2], atomic [3] and molecular [4] wires have become the subject of intensive experimental and theoretical studies. This kind of electronics is still far from being commercially useful. However, the enormous progress that has been made in the past years suggests that it will not be too long before the first molecule-sized electronic components become a reality (see e.g. [5, 6, 7]). According to already traditional physical terminology a quantum wire is a graph-like struct

小学上册第十四次英语第3单元真题试卷

小学上册第十四次英语第3单元真题试卷

小学上册英语第3单元真题试卷英语试题一、综合题(本题有100小题,每小题1分,共100分.每小题不选、错误,均不给分)1.What is the capital of the Republic of the Congo?A. BrazzavilleB. KinshasaC. Pointe-NoireD. OuessoA Brazzaville2. A solution is a type of ______.3.The __________ (历史的连结) strengthens bonds.4.The sun is very ________ today.5.The butterfly emerges from its _____.6.The chemical formula for potassium acetate is _______.7.We will watch a ________ tonight.8.The owl's exceptional hearing allows it to hunt effectively in ________________ (黑暗).9.Earth's atmosphere protects us from ______.10. A ______ is a large depression in the ground formed by a meteor impact.11.Which bird is known for its colorful tail?A. CrowB. SparrowC. PeacockD. PigeonC12. A butterfly starts as a ______.13.What do we call a building where we go to pray?A. ChurchB. SchoolC. MuseumD. Library14.The Great Barrier Reef is located off the coast of __________.15.We use ______ (草) to make lawns green.16.The chemical symbol for arsenic is ______.17.The parrot mimics sounds it hears from _________. (人)18.我的朋友喜欢 _______ (活动). 她觉得这很 _______ (形容词)19.The Mediterranean Sea is between Europe and _______.20.The country of Iceland is known for its ________ (火山和温泉).21. A metal's ability to conduct electricity is known as ______.22.The _____ (香味) of the flowers is wonderful.23.My brother enjoys __________ (参加) sports teams.24.Some _______ can survive drought conditions.25.The turtle can live for many _______ (年).26.What do you call a person who plays a musical instrument?A. ArtistB. MusicianC. PainterD. Dancer27.What is the name of the famous princess who lost her glass slipper?A. RapunzelB. BelleC. CinderellaD. Ariel28.I want to ________ my toys.29.What is the name of the fairy tale character who had a sleeping curse?A. Snow WhiteB. Sleeping BeautyC. CinderellaD. RapunzelB30.I like to go ________ (打羽毛球) with my friends.31.Pigs are very _______ (社会化的) creatures.32.I want to ______ (visit) my cousin.33.The chemical formula for common baking soda is _______.34.The __________ is the process by which a solid changes directly into a gas.35.What do we call a baby kangaroo?A. CalfB. JoeyC. KidD. Pup36.mation was a movement against the ________ (教会). The Reig37.My mom grows ________ in the garden.38.The __________ is the outermost layer of the Earth.39.The house is very ___. (big)40. A __________ is formed through the cooling of lava and volcanic ash.41.We can _____ (play/go) to the beach.42.The __________ (牛仔) work on the ranch.43.The _____ (草地) is perfect for playing outside.44. A _______ is a device that helps to launch rockets into space.45.The hawk is known for its keen ______ (视力).46.The tree is ___ (green/brown).47.ts can produce ______ that repel pests. (某些植物可以产生驱虫的化学物质。

数学专业英语 第2章课后答案

数学专业英语 第2章课后答案

2.12.比:ratio 比例:proportion 利率:interest rate 速率:speed 除:divide 除法:division 商:quotient 同类量:like quantity 项:term 线段:line segment 角:angle 长度:length 宽:width高度:height 维数:dimension 单位:unit 分数:fraction 百分数:percentage3.(1)一条线段和一个角的比没有意义,他们不是相同类型的量.(2)比较式通过说明一个量是另一个量的多少倍做出的,并且这两个量必须依据相同的单位.(5)为了解一个方程,我们必须移项,直到未知项独自处在方程的一边,这样就可以使它等于另一边的某量.4.(1)Measuring the length of a desk, is actually comparing the length of the desk to that of a ruler.(3)Ratio is different from the measurement, it has no units. The ratio of the length and the width of the same book does not vary when the measurement unit changes.(5)60 percent of students in a school are female students, which mean that 60 students out of every 100 students are female students.2.22.初等几何:elementary geometry 三角学:trigonometry 余弦定理:Law of cosines 勾股定理/毕达哥拉斯定理:Gou-Gu theorem/Pythagoras theorem 角:angle 锐角:acute angle 直角:right angle 同终边的角:conterminal angles 仰角:angle of elevation 俯角:angle of depression 全等:congruence 夹角:included angle 三角形:triangle 三角函数:trigonometric function直角边:leg 斜边:hypotenuse 对边:opposite side 临边:adjacent side 始边:initial side 解三角形:solve a triangle 互相依赖:mutually dependent 表示成:be denoted as 定义为:be defined as3.(1)Trigonometric function of the acute angle shows the mutually dependent relations between each sides and acute angle of the right triangle.(3)If two sides and the included angle of an oblique triangle areknown, then the unknown sides and angles can be found by using the law of cosines.(5)Knowing the length of two sides and the measure of the included angle can determine the shape and size of the triangle. In other words, the two triangles made by these data are congruent.4.(1)如果一个角的顶点在一个笛卡尔坐标系的原点并且它的始边沿着x轴正方向,这个角被称为处于标准位置.(3)仰角和俯角是以一条以水平线为参考位置来测量的,如果正被观测的物体在观测者的上方,那么由水平线和视线所形成的角叫做仰角.如果正被观测的物体在观测者的下方,那么由水平线和视线所形成的的角叫做俯角.(5)如果我们知道一个三角形的两条边的长度和对着其中一条边的角度,我们如何解这个三角形呢?这个问题有一点困难来回答,因为所给的信息可能确定两个三角形,一个三角形或者一个也确定不了.2.32.素数:prime 合数:composite 质因数:prime factor/prime divisor 公倍数:common multiple 正素因子: positive prime divisor 除法算式:division equation 最大公因数:greatest common divisor(G.C.D) 最小公倍数: lowest common multiple(L.C.M) 整除:divide by 整除性:divisibility 过程:process 证明:proof 分类:classification 剩余:remainder辗转相除法:Euclidean algorithm 有限集:finite set 无限的:infinitely 可数的countable 终止:terminate 与矛盾:contrary to3.(1)We need to study by which integers an integer is divisible, that is , what factor it has. Specially, it is sometime required that an integer is expressed as the product of its prime factors.(3)The number 1 is neither a prime nor a composite number;A composite number in addition to being divisible by 1 and itself, can also be divisible by some prime number.(5)The number of the primes bounded above by any given finite integer N can be found by using the method of the sieve Eratosthenes.4.(1)数论中一个重要的问题是哥德巴赫猜想,它是关于偶数作为两个奇素数和的表示.(3)一个数,形如2p-1的素数被称为梅森素数.求出5个这样的数.(5)任意给定的整数m和素数p,p的仅有的正因子是p和1,因此仅有的可能的p和m的正公因子是p和1.因此,我们有结论:如果p是一个素数,m是任意整数,那么p整除m,要么(p,m)=1.2.42.集:set 子集:subset 真子集:proper subset 全集:universe 补集:complement 抽象集:abstract set 并集:union 交集:intersection 元素:element/member 组成:comprise/constitute包含:contain 术语:terminology 概念:concept 上有界:bounded above 上界:upper bound 最小的上界:least upper bound 完备性公理:completeness axiom3.(1)Set theory has become one of the common theoretical foundation and the important tools in many branches of mathematics.(3)Set S itself is the improper subset of S; if set T is a subset of S but not S, then T is called a proper subset of S.(5)The subset T of set S can often be denoted by {x}, that is, T consists of those elements x for which P(x) holds.(7)This example makes the following question become clear, that is, why may two straight lines in the space neither intersect nor parallel.4.(1)设N是所有自然数的集合,如果S是所有偶数的集合,那么它在N中的补集是所有奇数的集合.(3)一个非空集合S称为由上界的,如果存在一个数c具有属性:x<=c对于所有S中的x.这样一个数字c被称为S的上界.(5)从任意两个对象x和y,我们可以形成序列(x,y),它被称为一个有序对,除非x=y,否则它当然不同于(y,x).如果S和T是任意集合,我们用S*T表示所有有序对(x,y),其中x术语S,y属于T.在R.笛卡尔展示了如何通过实轴和它自己的笛卡尔积来描述平面的点之后,集合S*T被称为S和T的笛卡尔积.2.52.竖直线:vertical line 水平线:horizontal line 数对:pairs of numbers 有序对:ordered pairs 纵坐标:ordinate 横坐标:abscissas 一一对应:one-to-one 对应点:corresponding points圆锥曲线:conic sections 非空图形:non vacuous graph 直立圆锥:right circular cone 定值角:constant angle 母线:generating line 双曲线:hyperbola 抛物线:parabola 椭圆:ellipse退化的:degenerate 非退化的:nondegenerate任意的:arbitrarily 相容的:consistent 在几何上:geometrically 二次方程:quadratic equation 判别式:discriminant 行列式:determinant3.(1)In the planar rectangular coordinate system, one can set up aone-to-one correspondence between points and ordered pairs of numbers and also a one-to-one correspondence between conic sections and quadratic equation.(3)The symbol can be used to denote the set of ordered pairs(x,y)such that the ordinate is equal to the cube of the abscissa.(5)According to the values of the discriminate,the non-degenerate graph of Equation (iii) maybe known to be a parabola, a hyperbolaor an ellipse.4.(1)在例1,我们既用了图形,也用了代数的代入法解一个方程组(其中一个方程式二次的,另一个是线性的)。

A general transformation formula for conformal fields

A general transformation formula for conformal fields

k+1 2 0
and for m ≥ 2 as
m
C (k1 , l1 ; . . . ; km , lm ) =
j =2
1 lj !
lj qj =1
Kj −1 + (qj − 2)kj C 1 (k1 , l1 ).

(9)
Before proving the formula I would like to remark that 3! T2 (z ) is the Schwarzian derivative of the function f 2 f ′′′ (z ) 3 f ′′ (z ) (Df )(z ) = ′ − . (10) f (z ) 2 f ′ (z ) 3
n
(17) (18) (19) (20)
+
k =1 n
′ Tk − 1 (z ) 1 0
p
Kp :=
i=1
ki li − 1.
l −2 p=1
(7)
If this condition is met they are given as

m
C 1 (k, l) =
k+1 l (l − 2)!
(pk − 1) l ≥ 3 l=2 l = 1, (8)
2. The main result Let ψ be a primary field of weight h, i. e. L0 ψ = h ψ and Ln ψ = 0 for n > 0. Let f be an analytic function defined in some open neighbourhood of the origin f : D → C which is locally invertible, i. e. f ′ (0) = 0. Let furthermore the action of the exponentials of the Virasoro generators be local with respect to the given system of vertex operators

2015年美国大学生数学建模竞赛赛题翻译

2015年美国大学生数学建模竞赛赛题翻译

2015年美国大学生数学建模竞赛赛题翻译2015年美国大学生数学竞赛正在进行,比赛时间为北京时间:2015年2月6日(星期五)上午9点-2月10日上午9点。

竞赛以三人(本科生)为一组,在四天时间内,就指定的问题,完成该实际问题的数学建模的全过程,并就问题的重述、简化和假设及其合理性的论述、数学模型的建立和求解(及软件)、检验和改进、模型的优缺点及其可能的应用范围的自我评述等内容写出论文。

2015 MCM/ICM Problems总计4题,参赛者可从MCM Problem A, MCM Problem B, ICM Problem C or ICM Problem D等四道赛题中自由选择。

2015 Contest ProblemsMCM PROBLEMSPROBLEM A: Eradicating EbolaThe world medical association has announced that their new medication could stop Ebola and cure patients whose disease is not advanced. Build a realistic, sensible, and useful model that considers not only the spread of the disease, the quantity of the medicine needed, possible feasible delivery systems (sending the medicine to where it is needed), (geographical) locations of delivery, speed of manufacturing of the vaccine or drug, but also any other critical factors your team considers necessary as part of the model to optimize the eradication of Ebola, or at least its current strain. In addition to your modeling approach for the contest, prepare a 1-2 pagenon-technical letter for the world medical association to use in their announcement.中文翻译:问题一:根除埃博拉病毒世界医学协会已经宣布他们的新药物能阻止埃博拉病毒并且可以治愈一些处于非晚期疾病患者。

美国数学竞赛AMC12词汇

美国数学竞赛AMC12词汇

Aabbreviation 简写符号;简写absolute error 绝对误差absolute value 绝对值accuracy 准确度acute angle 锐角acute-angled triangle 锐角三角形add 加addition 加法addition formula 加法公式addition law 加法定律addition law(of probability)(概率)加法定律additive property 可加性adjacent angle 邻角adjacent side 邻边algebra 代数algebraic 代数的algebraic equation 代数方程algebraic expression 代数式algebraic fraction 代数分式;代数分数式algebraic inequality 代数不等式algebraic operation 代数运算alternate angle (交)错角alternate segment 交错弓形altitude 高;高度;顶垂线;高线ambiguous case 两义情况;二义情况amount 本利和;总数analysis 分析;解析analytic geometry 解析几何angle 角angle at the centre 圆心角angle at the circumference 圆周角angle between a line and a plane 直与平面的交角angle between two planes 两平面的交角angle bisection 角平分angle bisector 角平分线;分角线angle in the alternate segment 交错弓形的圆周角angle in the same segment 同弓形内的圆周角angle of depression 俯角angle of elevation 仰角angle of greatest slope 最大斜率的角angle of inclination 倾斜角angle of intersection 相交角;交角angle of rotation 旋转角angle of the sector 扇形角angle sum of a triangle 三角形内角和angles at a point 同顶角annum(X% per annum) 年(年利率X%)anti-clockwise direction 逆时针方向;返时针方向anti-logarithm 逆对数;反对数anti-symmetric 反对称apex 顶点approach 接近;趋近approximate value 近似值approximation 近似;略计;逼近Arabic system 阿刺伯数字系统arbitrary 任意arbitrary constant 任意常数arc 弧arc length 弧长arc-cosine function 反余弦函数arc-sin function 反正弦函数arc-tangent function 反正切函数area 面积arithmetic 算术arithmetic mean 算术平均;等差中顶;算术中顶arithmetic progression 算术级数;等差级数arithmetic sequence 等差序列arithmetic series 等差级数arm 边arrow 前号ascending order 递升序ascending powers of X X 的升幂associative law 结合律assumed mean 假定平均数assumption 假定;假设average 平均;平均数;平均值average speed 平均速率axiom 公理axis 轴axis of parabola 拋物线的轴axis of symmetry 对称轴Bback substitution 回代bar chart 棒形图;条线图;条形图;线条图base (1)底;(2)基;基数base angle 底角base area 底面base line 底线base number 底数;基数base of logarithm 对数的底bearing 方位(角);角方向(角)bell-shaped curve 钟形图bias 偏差;偏倚billion 十亿binary number 二进数binary operation 二元运算binary scale 二进法binary system 二进制binomial 二项式binomial expression 二项式bisect 平分;等分bisection method 分半法;分半方法bisector 等分线;平分线boundary condition 边界条件boundary line 界(线);边界bounded 有界的bounded above 有上界的;上有界的bounded below 有下界的;下有界的bounded function 有界函数brace 大括号bracket 括号breadth 阔度broken line graph 折线图Ccalculation 计算calculator 计算器;计算器cancel 消法;相消canellation law 消去律capacity 容量Cartesian coordinates 笛卡儿坐标Cartesian plane 笛卡儿平面category 类型;范畴central line 中线central tendency 集中趋centre 中心;心centre of a circle 圆心centroid 形心;距心certain event 必然事件chance 机会change of base 基的变换change of subject 主项变换change of variable 换元;变量的换chart 图;图表checking 验算chord 弦chord of contact 切点弦circle 圆circular 圆形;圆的circular function 圆函数;三角函数circular measure 弧度法circumcentre 外心;外接圆心circumcircle 外接圆circumference 圆周circumradius 外接圆半径circumscribed circle 外接圆class 区;组;类class boundary 组界class interval 组区间;组距class limit 组限;区限class mark 组中点;区中点classification 分类clnometer 测斜仪clockwise dirction 顺时针方向closed convex region 闭凸区域closed interval 闭区间coefficient 系数coincide 迭合;重合collection of terms 并项collinear 共线collinear planes 共线面column (1)列;纵行;(2) 柱combination 组合common chord 公弦common denominator 同分母;公分母common difference 公差common divisor 公约数;公约common factor 公因子;公因子common logarithm 常用对数common multiple 公位数;公倍common ratio 公比common tangetn 公切commutative law 交换律comparable 可比较的compass 罗盘compass bearing 罗盘方位角compasses 圆规compasses construction 圆规作图complement 余;补余complementary angle 余角complementary event 互补事件complementary probability 互补概率completing the square 配方complex number 复数complex root 复数根composite number 复合数;合成数compound bar chart 综合棒形图compound discount 复折扣compound interest 复利;复利息computation 计算computer 计算机;电子计算器concave 凹concave downward 凹向下的Ddata 数据decagon 十边形decay 衰变decay factor 衰变因子decimal 小数decimal place 小数位decimal point 小数点decimal system 十进制decrease 递减decreasing function 递减函数;下降函数decreasing sequence 递减序列;下降序列decreasing series 递减级数;下降级数decrement 减量deduce 演绎deduction 推论deductive reasoning 演绎推理definite 确定的;定的distance 距离distance formula 距离公式distinct roots 相异根distincr solution 相异解distribution 公布distrivutive law 分配律divide 除dividend (1)被除数;(2)股息divisible 可整除division 除法division algorithm 除法算式divisor 除数;除式;因子divisor of zero 零因子dodecagon 十二边形dot 点double root 二重根due east/ south/ west /north 向东/ 南/ 西/ 北definiton 定义degree (1)度;(2)次degree of a polynomial 多项式的次数degree of accuracy 准确度degree of precision 精确度delete 删除;删去denary number 十进数denary scale 十进法denary system 十进制denominator 分母dependence (1)相关;(2)应变dependent event(s) 相关事件;相依事件;从属事件dependent variable 应变量;应变数depreciation 折旧descending order 递降序descending powers of X X的降序detached coefficients 分离系数(法)deviation 偏差;变差deviation from the mean 离均差diagonal 对角diagram 图;图表diameter 直径difference 差digit 数字dimension 量;量网;维(数)direct proportion 正比例direct tax, direct taxation 直接税direct variation 正变(分)directed angle 有向角directed number 有向数direction 方向;方位discontinuous 间断(的);非连续(的);不连续(的) discount 折扣discount per cent 折扣百分率discrete 分立;离散discrete data 离散数据;间断数据discriminant 判别式dispersion 离差displacement 位移disprove 反证Eedge 棱;边elimination 消法elimination method 消去法;消元法elongation 伸张;展empirical data 实验数据empirical formula 实验公式empirical probability 实验概率;经验概率enclosure 界限end point 端点entire surd 整方根equal 相等equal ratios theorem 等比定理equal roots 等根equality 等(式)equality sign 等号equation 方程equation in one unknown 一元方程equation in two unknowns (variables) 二元方程equation of a straight line 直线方程equation of locus 轨迹方程equiangular 等角(的)extreme value 极值equidistant 等距(的)equilaeral 等边(的)equilateral polygon 等边多边形equilateral triangle 等边三角形equivalent 等价(的)error 误差escribed circle 旁切圆estimate 估计;估计量Euler's formula 尤拉公式;欧拉公式evaluate 计值even function 偶函数even number 偶数evenly distributed 均匀分布的event 事件exact 真确exact solution 准确解;精确解;真确解exact value 法确解;精确解;真确解example 例excentre 外心exception 例外excess 起exclusive 不包含exclusive events 互斥事件exercise 练习expand 展开expand form 展开式expansion 展式expectation 期望expectation value, expected value 期望值;预期值experiment 实验;试验experimental 试验的experimental probability 实验概率exponent 指数express…in terms of….. 以………表达expression 式;数式extension 外延;延长;扩张;扩充exterior angle 外角external angle bisector 外分角external point of division 外分点extreme point 极值点Fface 面factor 因子;因式;商factor method 因式分解法factor theorem 因子定理;因式定理factorial 阶乘factorization 因子分解;因式分解factorization of polynomial 多项式因式分解FALSE 假(的)feasible solution 可行解;容许解Fermat’s last theorem 费尔马最后定理Fibonacci number 斐波那契数;黄金分割数Fibonacci sequence 斐波那契序列fictitious mean 假定平均数figure (1)图(形);(2)数字finite 有限finite population 有限总体finite sequence 有限序列finite series 有限级数first quartile 第一四分位数first term 首项fixed deposit 定期存款fixed point 定点flow chart 流程图foot of perpendicular 垂足for all X 对所有Xfor each /every X 对每一Xform 形式;型formal proof 形式化的证明format 格式;规格formula(formulae) 公式four rules 四则four-figure table 四位数表fourth root 四次方根fraction 分数;分式fraction in lowest term 最简分数fractional equation 分式方程fractional index 分数指数fractional inequality 分式不等式free fall 自由下坠frequency 频数;频率frequency distribution 频数分布;频率分布frequency distribution table 频数分布表frequency polygon 频数多边形;频率多边形frustum 平截头体function 函数function of function 复合函数;迭函数functional notation 函数记号Ggain 增益;赚;盈利gain per cent 赚率;增益率;盈利百分率game (1)对策;(2)博奕general form 一般式;通式general solution 通解;一般解general term 通项geoborad 几何板geometric mean 几何平均数;等比中项geometric progression 几何级数;等比级数geometric sequence 等比序列geometric series 等比级数geometry 几何;几何学given 给定;已知golden section 黄金分割grade 等级gradient (1)斜率;倾斜率;(2)梯度grand total 总计graph 图像;图形;图表graph paper 图表纸graphical method 图解法graphical representation 图示;以图样表达graphical solution 图解greatest term 最大项greatest value 最大值grid lines 网网格线group 组;grouped data 分组数据;分类数据grouping terms 并项;集项growth 增长growth factor 增长因子Hhalf closed interval 半闭区间half open interval 半开区间head 正面(钱币)height 高(度)hemisphere 半球体;半球heptagon 七边形Heron's formula 希罗公式hexagon 六边形higher order derivative 高阶导数highest common factor(H.C.F) 最大公因子;最高公因式;最高公因子Hindu-Arabic numeral 阿刺伯数字histogram 组织图;直方图;矩形图horizontal 水平的;水平horizontal line 横线;水平线hyperbola 双曲线hypotenuse 斜边Iidentical 全等;恒等identity 等(式)identity relation 恒等关系式if and only if/iff 当且仅当;若且仅若if…., then 若….则;如果…..则illustration 例证;说明image 像点;像imaginary circle 虚圆imaginary number 虚数imaginary root 虚根implication 蕴涵式;蕴含式imply 蕴涵;蕴含impossible event 不可能事件improper fraction 假分数inclination 倾角;斜角inclined plane 斜面included angle 夹角included side 夹边inclusive 包含的;可兼的inconsistent 不相的(的);不一致(的)increase 递增;增加increasing function 递增函数interior angles on the same side of the transversal 同旁内角interior opposite angle 内对角internal bisector 内分角internal division 内分割internal point of division 内分点inter-quartile range 四分位数间距intersect 相交intersection (1)交集;(2)相交;(3)交点interval 区间intuition 直观invariance 不变性invariant (1)不变的;(2)不变量;不变式inverse 反的;逆的inverse circular function 反三角函数inverse cosine function 反余弦函数inverse function 反函数;逆函数inverse problem 逆算问题inverse proportion 反比例;逆比例inverse sine function 反正弦函数inverse tangent function 反正切函数inverse variation 反变(分);逆变(分) irrational equation 无理方程irrational number 无理数irreducibility 不可约性irregular 不规则isosceles triangle 等腰三角形increasing sequence 递增序列increasing series 递增级数increment 增量independence 独立;自变independent event 独立事件independent variable 自变量;独立变量indeterminate (1)不定的;(2)不定元;未定元indeterminate coefficient 不定系数;未定系数indeterminate form 待定型;不定型index,indices 指数;指index notation 指数记数法inequality 不等式;不等inequality sign 不等号infinite 无限;无穷infinite population 无限总体infinite sequence 无限序列;无穷序列infinite series 无限级数;无穷级数infinitely many 无穷多infinitesimal 无限小;无穷小infinity 无限(大);无穷(大)initial point 始点;起点initial side 始边initial value 初值;始值input 输入input box 输入inscribed circle 内切圆insertion 插入insertion of brackets 加括号instantaneous 瞬时的integer 整数integral index 整数指数integral solution 整数解integral value 整数值intercept 截距;截段intercept form 截距式intercept theorem 截线定理interchange 互换interest 利息interest rate 利率interest tax 利息税interior angle 内角Jjoint variation 联变(分);连变(分)Kknown 己知LL.H.S. 末项law 律;定律law of indices 指数律;指数定律law of trichotomy 三分律leading coefficient 首项系数least common multiple, lowest common multiple (L.C.M) 最小公倍数;最低公倍式least value 最小值lemma 引理length 长(度)letter 文字;字母like surd 同类根式like terms 同类项limit 极限line 线;行line of best-fit 最佳拟合line of greatest slope 最大斜率的直;最大斜率line of intersection 交线line segment 线段linear 线性;一次linear equation 线性方程;一次方程linear equation in two unknowns 二元一次方程;二元线性方程linear inequality 一次不等式;线性不等式linear programming 线性规划literal coefficient 文字系数literal equation 文字方程load 负荷loaded coin 不公正钱币loaded die 不公正骰子locus, loci 轨迹logarithm 对数logarithmic equation 对数方程logarithmic function 对数函数logic 逻辑logical deduction 逻辑推论;逻辑推理logical step 逻辑步骤long division method 长除法loss 赔本;亏蚀loss per cent 赔率;亏蚀百分率lower bound 下界lower limit 下限lower quartile 下四分位数lowest common multiple(L.C.M) 最小公倍数Mmagnitude 量;数量;长度;大小major arc 优弧;大弧major axis 长轴major sector 优扇形;大扇形major segment 优弓形;大弓形mantissa 尾数mantissa of logarithm 对数的尾数;对数的定值部many-sided figure 多边形marked price 标价mathematical induction 数学归纳法mathematical sentence 数句mathematics 数学maximize 极大maximum absolute error 最大绝对误差maximum point 极大点maximum value 极大值mean 平均(值);平均数;中数mean deviation 中均差;平均偏差measure of dispersion 离差的量度measurement 量度median (1)中位数;(2)中线meet 相交;相遇mensuration 计量;求积法method 方法method of completing square 配方法method of substitution 代换法;换元法metric unit 十进制单位mid-point 中点mid-point formula 中点公式mid-point theorem 中点定理million 百万minimize 极小minimum point 极小点minimum value 极小值minor (1)子行列式;(2)劣;较小的minor arc 劣弧;小弧minor axis 短轴minor sector 劣扇形;小扇形minor segment 劣弓形;小弓形minus 减minute 分mixed number(fraction) 带分数modal class 众数组mode 众数model 模型monomial 单项式multinomial 多项式multiple 倍数multiple root 多重根multiplicand 被乘数multiplication 乘法multiplication law (of probability) (概率)乘法定律multiplicative property 可乘性multiplier 乘数;乘式multiply 乘mutually exclusive events 互斥事件mutually independent 独立; 互相独立mutually perpendicular lines 互相垂直Nn factorial n阶乘n th root n次根;n次方根natural number 自然数negative 负negative angle 负角negative index 负指数negative integer 负整数negative number 负数neighborhood 邻域net 净(值)n-gon n边形nonagon 九边形non-collinear 不共线non-linear 非线性non-linear equation 非线性方程non-negative 非负的non-trivial 非平凡的non-zero 非零normal (1)垂直的;正交的;法线的(2)正态的(3)正常的;正规的normal curve 正态分记伲怀1分记伲徽媲伲徽忧?normal distribution 正态分布,常态分布normal form 法线式notation 记法;记号number 数number line 数线number pair 数偶number pattern 数型number plane 数平面number system 数系numeral 数字;数码numeral system 记数系统numerator 分子numerical 数值的;数字的numerical expression 数字式numerical method 计算方法;数值法Ooblique 斜的oblique cone 斜圆锥oblique triangle 斜三角形obtuse angle 钝角obtuse-angled triangle 钝角三角形octagon 八边形octahedron 八面体odd function 奇函数odd number 奇数one-one correspondence 一一对应open interval 开区间open sentence 开句operation 运算opposite angle 对角opposite interior angle 内对角opposite side 对边optimal solution 最优解order (1)序;次序;(2)阶;级ordered pair 序偶origin 原点outcome 结果output 输出overlap 交迭;相交Pparabola 拋物线parallel 平行(的)parallel lines 平行(直线) parallelogram 平行四边形parameter 参数;参变量partial fraction 部分分数;分项分式polar coordinate system 极坐标系统polar coordinates 极坐标pole 极polygon 多边形polyhedron 多面体polynomial 多项式polynomial equation 多项式方程positive 正positive index 正指数positive integer 正整数positive number 正数power (1)幂;乘方;(2)功率;(3)检定力precise 精密precision 精确度prime 素prime factor 质因子;质因素prime number 素数;质数primitive (1)本原的;原始的;(2)原函数principal (1)主要的;(2)本金prism 梭柱(体);角柱(体)prismoid 平截防庾短?probability 概率problem 应用题produce 延长product 乘积;积product rule 积法则profit 盈利profit per cent 盈利百分率profits tax 利得税progression 级数proof 证(题);证明proper fraction 真分数property 性质property tax 物业税proportion 比例proportional 成比例protractor 量角器pyramid 棱锥(体);角锥(体) Pythagoras’Theorem 勾股定理Pythagorean triplet 毕氏三元数组partial sum 部分和partial variation 部分变(分)particular solution 特解Pascal’s triangle 帕斯卡斯三角形pattern 模型;规律pegboard 有孔版pentadecagon 十五边形pentagon 五边形per cent 百分率percentage 百分法;百分数percentage decrease 百分减少percentage error 百分误差percentage increase 百分增加percentile 百分位数perfect number 完全数perfecr square 完全平方perimeter 周长;周界period 周期periodic function 周期函数permutation 排列perpendicular 垂线;垂直(于) perpendicular bisector 垂直平分线;中垂线perpendicular line 垂直线pictogram 象形图pie chart 饼图;圆瓣图pinboard 钉板place holder 补位数字place value 位值plan (1)平面图;(2)计划plane 平面plane figure 平面图形plot 绘图plus 加point 点point circle 点圆point of contact 切点point of division 分点point of intersection 交点point-slope form 点斜式polar axis 极轴polar coordinate plane 极坐标平面polar coordinate 极坐标系统Qquadrant 象限quadratic equation 二次方程(式) quadratic formula 二次公式quardratic function 二次函数quadratic inequality 二次不等式quadratic polynomial 四边形quantity 数量quartile 四分位数quotient 商;商式RR.H.S 右radian 弧度radian measure 弧度法radical 根式;根号;根数radius, radii 半径random 随机random experiment 随机试验random number 随机数range 值域;区域;范围;极差;分布域rate 率;利率ratio 比; 比率rational expression 有理式;有理数式rational function 有理函数rational index 有理数指数rational number 有理数rationalization 有理化raw data 原始数据raw score 原始分(数)real axis 实轴real number 实数real root 实根reason 理由reciprocal 倒数rectangle 长方形;矩形rectangular block 长方体rectangular coordinate plane 直角坐标平面rectangular coordinates 直角坐rectilinear figure 直线图形recurrent 循环的recurring decimal 循环小数reduce 简化reducible 可约的;可化简的reference angle 参考角reflex angle 优角;反角region 区域regular 正;规则regular polygon 正多边形reject 舍去;否定relation 关系;关系式relative error 相对误差remainder 余数;余式;剩余remainder term 余项remainder theorem 余式定理removal of brackets 撤括号;去括号repeated trials 重复试验resolve 分解revolution 旋转;周转rhombus 菱形right angle 直角right circular cone 直立圆锥(体)right circular cylinder 直立圆柱(体)right prism 直立棱柱;直立角柱(体) right pyramid 直立棱锥;直立角锥(体) right-angled triangle 直角二角形root 根rotation 旋转round angle 周角rounded number 舍数rounding(off) 舍入;四舍五入row 行;棋行rule 规则;法(则)ruler 直尺Ssalaries tax 俸税sample 抽样;样本sample space 样本空间satisfy 满足;适合scale 比例尺;标度;图尺scalene triangle 不等边三角形;不规则三角形scientific notation 科学记数法solution of triangle 三角形解法solve 解special angle 特殊角;特别角speed 速率sphere 球形;球面square (1)平方;(2)正方形square bracket 方括号square number 正方形数;平方数square root 平方根;二次根standard deviation 标准差;标准偏离secant 割second 秒second quartile 第二四分位数(1)截面;截线;(2)截点section (1)截面;截线;(2)截点section formula 截点公式sector 扇式segment 段;节segment of a circle 弓形selling price 售价semi-circle 半圆semi-vertical angle 半顶角sentence 句;语句sequence 序列series 级数set square 三角尺;三角板shaded portion 有阴影部分shape 形状side 边;侧sign 符号;记号signed number 有符号数significant figure 有效数字similar 相似similar figures 相似图形similar triangles 相似三角形similarity 相似(性)simple equation 简易方程simple interest 单利;单利息simplify 简化simultaneous equations 联立方程simultaneous inequalities 联立不等式simultaneous linear equations in two unknowns 联合二次线性方程式sine 正弦sine formula 正弦公式slant edge 斜棱slant height 斜高slope 斜率;斜度;倾斜;坡度slope-intercept form 斜率截距式;斜截式solid 立体;固体soild with uniform corss-section 有均匀横切面的立体solution 解;解法solution of equation 方程解Uuniform 一致(的);均匀(的)uniform cross-section 均匀横切面uniform speed 匀速率uniformly distributed 均匀分布unique solution 唯一解uniqueness 唯一性unit 单位unit area 单位面积unit circle 单位圆unit volume 单位体积unknown 未知数;未知量unlike 异类项upper bound 上界upper limit 上限upper quartile 上四分位数Vvalue 值variable 变项;变量;元;变元;变数variable speed 可变速率variance 方差variation 变数;变分verify 证明;验证vertex, vertices 顶(点);极点vertical 铅垂;垂直vertical angle 顶角vertical line 纵线;铅垂vertically opposite angles 对顶角volume 体积Wweight (1)重量;(2)权weighted average, weighted mean 加权平均数whole number 整数;完整数width 阔度without loss of generality 不失一般性Xx-axis x轴x-coordinate x坐标x-intercept x轴截距Yy-axis y轴y-coordinate y坐标y-intercept y轴截距Zzero 零zero factor 零因子zeros of a function 函数零值统计学population 母体sample 样本census 普查sampling 抽样quantitative 量的qualitative/categorical 质的discrete 离散的continuous 连续的population parameters 母体参数sample statistics 样本统计量descriptive statistics 叙述统计学inferential/inductive statistics 推论/归纳统计学levels of measurement 衡量尺度nominal scale 名目尺度ordinal scale 顺序尺度interval scale 区间尺度ratio scale 比例尺度frequency distribution 次数分配relative frequency 相对次数range 全距class midpoint 组中点class limits 组限class boundaries 组界class width 组距cumulative frequency (以下) 累加次数decumulative frequency 以上累加次数histogram 直方图pie chart 饼图ogive 肩形图frequency polygon 多边形图cumulative frequency polygon 累加次数多边形图box plot 盒须图stem and leaf plot 枝叶图measures of central tendency 中央趋势量数mean 平均数median 中位数mode 众数location measures 位置量数percentile 百分位数quartile 四分位数decile 十分位数dispersion measures 分散量数range 全距interquartile-range IQR 四分位距mean absolute deviation 平均绝对离差variance 变异数standard deviation 标准差coefficient of variation 变异系数left-skewed 左偏negative-skewed 负偏right-skewed 右偏positive-skewed 正偏contingency table 列联表sampling distribution (of a statistic)(某个统计量的) 抽样分布point estimate 点估计值point estimator 点估计式unbiased estimator 不偏点估计式efficient estimator 有效点估计式consistent estimator 一致点估计式confidence level 信赖水准confidence interval 信赖区间null hypothesis 虚无假设alternative hypothesis 对立假设left-tailed test 左尾检定right-tailed test 右尾检定two-tailed test 双尾检定test statistic 检定统计量critical value 临界值。

审计学:一种整合方法 阿伦斯 英文版 第12版 课后答案 Chapter 15 Solutions Manual

Chapter 15Audit Sampling for Tests of Controls andSubstantive Tests of TransactionsReview Questions15-1 A representative sample is one in which the characteristics of interest for the sample are approximately the same as for the population (that is, the sample accurately represents the total population). If the population contains significant misstatements, but the sample is practically free of misstatements, the sample is nonrepresentative, which is likely to result in an improper audit decision. The auditor can never know for sure whether he or she has a representative sample because the entire population is ordinarily not tested, but certain things, such as the use of random selection, can increase the likelihood of a representative sample.15-2Statistical sampling is the use of mathematical measurement techniques to calculate formal statistical results. The auditor therefore quantifies sampling risk when statistical sampling is used. In nonstatistical sampling, the auditor does not quantify sampling risk. Instead, conclusions are reached about populations on a more judgmental basis.For both statistical and nonstatistical methods, the three main parts are:1. Plan the sample2. Select the sample and perform the tests3. Evaluate the results15-3In replacement sampling, an element in the population can be included in the sample more than once if the random number corresponding to that element is selected more than once. In nonreplacement sampling, an element can be included only once. If the random number corresponding to an element is selected more than once, it is simply treated as a discard the second time. Although both selection approaches are consistent with sound statistical theory, auditors rarely use replacement sampling; it seems more intuitively satisfying to auditors to include an item only once.15-4 A simple random sample is one in which every possible combination of elements in the population has an equal chance of selection. Two methods of simple random selection are use of a random number table, and use of the computer to generate random numbers. Auditors most often use the computer to generate random numbers because it saves time, reduces the likelihood of error, and provides automatic documentation of the sample selected.15-5In systematic sampling, the auditor calculates an interval and then methodically selects the items for the sample based on the size of the interval. The interval is set by dividing the population size by the number of sample items desired.To select 35 numbers from a population of 1,750, the auditor divides 35 into 1,750 and gets an interval of 50. He or she then selects a random number between 0 and 49. Assume the auditor chooses 17. The first item is the number 17. The next is 67, then 117, 167, and so on.The advantage of systematic sampling is its ease of use. In most populations a systematic sample can be drawn quickly, the approach automatically puts the numbers in sequential order and documentation is easy.A major problem with the use of systematic sampling is the possibility of bias. Because of the way systematic samples are selected, once the first item in the sample is selected, other items are chosen automatically. This causes no problems if the characteristics of interest, such as control deviations, are distributed randomly throughout the population; however, in many cases they are not. If all items of a certain type are processed at certain times of the month or with the use of certain document numbers, a systematically drawn sample has a higher likelihood of failing to obtain a representative sample. This shortcoming is sufficiently serious that some CPA firms prohibit the use of systematic sampling. 15-6The purpose of using nonstatistical sampling for tests of controls and substantive tests of transactions is to estimate the proportion of items in a population containing a characteristic or attribute of interest. The auditor is ordinarily interested in determining internal control deviations or monetary misstatements for tests of controls and substantive tests of transactions.15-7 A block sample is the selection of several items in sequence. Once the first item in the block is selected, the remainder of the block is chosen automatically. Thus, to select 5 blocks of 20 sales invoices, one would select one invoice and the block would be that invoice plus the next 19 entries. This procedure would be repeated 4 other times.15-8 The terms below are defined as follows:15-8 (continued)15-9The sampling unit is the population item from which the auditor selects sample items. The major consideration in defining the sampling unit is making it consistent with the objectives of the audit tests. Thus, the definition of the population and the planned audit procedures usually dictate the appropriate sampling unit.The sampling unit for verifying the occurrence of recorded sales would be the entries in the sales journal since this is the document the auditor wishes to validate. The sampling unit for testing the possibility of omitted sales is the shipping document from which sales are recorded because the failure to bill a shipment is the exception condition of interest to the auditor.15-10 The tolerable exception rate (TER) represents the exception rate that the auditor will permit in the population and still be willing to use the assessed control risk and/or the amount of monetary misstatements in the transactions established during planning. TER is determined by choice of the auditor on the basis of his or her professional judgment.The computed upper exception rate (CUER) is the highest estimated exception rate in the population, at a given ARACR. For nonstatistical sampling, CUER is determined by adding an estimate of sampling error to the SER (sample exception rate). For statistical sampling, CUER is determined by using a statistical sampling table after the auditor has completed the audit testing and therefore knows the number of exceptions in the sample.15-11 Sampling error is an inherent part of sampling that results from testing less than the entire population. Sampling error simply means that the sample is not perfectly representative of the entire population.Nonsampling error occurs when audit tests do not uncover errors that exist in the sample. Nonsampling error can result from:1. The auditor's failure to recognize exceptions, or2. Inappropriate or ineffective audit procedures.There are two ways to reduce sampling risk:1. Increase sample size.2. Use an appropriate method of selecting sample items from thepopulation.Careful design of audit procedures and proper supervision and review are ways to reduce nonsampling risk.15-12 An attribute is the definition of the characteristic being tested and the exception conditions whenever audit sampling is used. The attributes of interest are determined directly from the audit program.15-13 An attribute is the characteristic being tested for in a population. An exception occurs when the attribute being tested for is absent. The exception for the audit procedure, the duplicate sales invoice has been initialed indicating the performance of internal verification, is the lack of initials on duplicate sales invoices.15-14 Tolerable exception rate is the result of an auditor's judgment. The suitable TER is a question of materiality and is therefore affected by both the definition and the importance of the attribute in the audit plan.The sample size for a TER of 6% would be smaller than that for a TER of 3%, all other factors being equal.15-15 The appropriate ARACR is a decision the auditor must make using professional judgment. The degree to which the auditor wishes to reduce assessed control risk below the maximum is the major factor determining the auditor's ARACR.The auditor will choose a smaller sample size for an ARACR of 10% than would be used if the risk were 5%, all other factors being equal.15-16 The relationship between sample size and the four factors determining sample size are as follows:a. As the ARACR increases, the required sample size decreases.b. As the population size increases, the required sample size isnormally unchanged, or may increase slightly.c. As the TER increases, the sample size decreases.d. As the EPER increases, the required sample size increases.15-17 In this situation, the SER is 3%, the sample size is 100 and the ARACR is 5%. From the 5% ARACR table (Table 15-9) then, the CUER is 7.6%. This means that the auditor can state with a 5% risk of being wrong that the true population exception rate does not exceed 7.6%.15-18 Analysis of exceptions is the investigation of individual exceptions to determine the cause of the breakdown in internal control. Such analysis is important because by discovering the nature and causes of individual exceptions, the auditor can more effectively evaluate the effectiveness of internal control. The analysis attempts to tell the "why" and "how" of the exceptions after the auditor already knows how many and what types of exceptions have occurred.15-19 When the CUER exceeds the TER, the auditor may do one or more of the following:1. Revise the TER or the ARACR. This alternative should be followed onlywhen the auditor has concluded that the original specifications weretoo conservative, and when he or she is willing to accept the riskassociated with the higher specifications.2. Expand the sample size. This alternative should be followed whenthe auditor expects the additional benefits to exceed the additionalcosts, that is, the auditor believes that the sample tested was notrepresentative of the population.3. Revise assessed control risk upward. This is likely to increasesubstantive procedures. Revising assessed control risk may bedone if 1 or 2 is not practical and additional substantive proceduresare possible.4. Write a letter to management. This action should be done inconjunction with each of the three alternatives above. Managementshould always be informed when its internal controls are notoperating effectively. If a deficiency in internal control is consideredto be a significant deficiency in the design or operation of internalcontrol, professional standards require the auditor to communicatethe significant deficiency to the audit committee or its equivalent inwriting. If the client is a publicly traded company, the auditor mustevaluate the deficiency to determine the impact on the auditor’sreport on internal control over financial reporting. If the deficiency isdeemed to be a material weakness, the auditor’s report on internalcontrol would contain an adverse opinion.15-20 Random (probabilistic) selection is a part of statistical sampling, but it is not, by itself, statistical measurement. To have statistical measurement, it is necessary to mathematically generalize from the sample to the population.Probabilistic selection must be used if the sample is to be evaluated statistically, although it is also acceptable to use probabilistic selection with a nonstatistical evaluation. If nonprobabilistic selection is used, nonstatistical evaluation must be used.15-21 The decisions the auditor must make in using attributes sampling are: What are the objectives of the audit test?Does audit sampling apply?What attributes are to be tested and what exception conditions are identified?What is the population?What is the sampling unit?What should the TER be?What should the ARACR be?What is the EPER?What generalizations can be made from the sample to thepopulation?What are the causes of the individual exceptions?Is the population acceptable?15-21 (continued)In making the above decisions, the following should be considered: The individual situation.Time and budget constraints.The availability of additional substantive procedures.The professional judgment of the auditor.Multiple Choice Questions From CPA Examinations15-22 a. (1) b. (3) c. (2) d. (4)15-23 a. (1) b. (3) c. (4) d. (4)15-24 a. (4) b. (3) c. (1) d. (2)Discussion Questions and Problems15-25a.An example random sampling plan prepared in Excel (P1525.xls) is available on the Companion Website and on the Instructor’s Resource CD-ROM, which is available upon request. The command for selecting the random number can be entered directly onto the spreadsheet, or can be selected from the function menu (math & trig) functions. It may be necessary to add the analysis tool pack to access the RANDBETWEEN function. Once the formula is entered, it can be copied down to select additional random numbers. When a pair of random numbers is required, the formula for the first random number can be entered in the first column, and the formula for the second random number can be entered in the second column.a. First five numbers using systematic selection:Using systematic selection, the definition of the sampling unit for determining the selection interval for population 3 is the total number of lines in the population. The length of the interval is rounded down to ensure that all line numbers selected are within the defined population.15-26a. To test whether shipments have been billed, a sample of warehouse removal slips should be selected and examined to see ifthey have the proper sales invoice attached. The sampling unit willtherefore be the warehouse removal slip.b. Attributes sampling method: Assuming the auditor is willing toaccept a TER of 3% at a 10% ARACR, expecting no exceptions inthe sample, the appropriate sample size would be 76, determinedfrom Table 15-8.Nonstatistical sampling method: There is no one right answer tothis question because the sample size is determined usingprofessional judgment. Due to the relatively small TER (3%), thesample size should not be small. It will most likely be similar in sizeto the sample chosen by the statistical method.c. Systematic sample selection:22839 = Population size of warehouse removal slips(37521-14682).76 = Sample size using statistical sampling (students’answers will vary if nonstatistical sampling wasused in part b.300 = Interval (22839/76) if statistical sampling is used(students’ answers will vary if nonstatisticalsampling was used in part b).14825 = Random starting point.Select warehouse removal slip 14825 and every 300th warehouseremoval slip after (15125, 15425, etc.)Computer generation of random numbers using Excel (P1526.xls):=RANDBETWEEN(14682,37521)The command for selecting the random number can be entereddirectly onto the spreadsheet, or can be selected from the functionmenu (math & trig) functions. It may be necessary to add theanalysis tool pack to access the RANDBETWEEN function. Oncethe formula is entered, it can be copied down to select additionalrandom numbers.d. Other audit procedures that could be performed are:1. Test extensions on attached sales invoices for clericalaccuracy. (Accuracy)2. Test time delay between warehouse removal slip date andbilling date for timeliness of billing. (Timing)3. Trace entries into perpetual inventory records to determinethat inventory is properly relieved for shipments. (Postingand summarization)15-26 (continued)e. The test performed in part c cannot be used to test for occurrenceof sales because the auditor already knows that inventory wasshipped for these sales. To test for occurrence of sales, the salesinvoice entry in the sales journal is the sampling unit. Since thesales invoice numbers are not identical to the warehouse removalslips it would be improper to use the same sample.15-27a. It would be appropriate to use attributes sampling for all audit procedures except audit procedure 1. Procedure 1 is an analyticalprocedure for which the auditor is doing a 100% review of the entirecash receipts journal.b. The appropriate sampling unit for audit procedures 2-5 is a line item,or the date the prelisting of cash receipts is prepared. The primaryemphasis in the test is the completeness objective and auditprocedure 2 indicates there is a prelisting of cash receipts. All otherprocedures can be performed efficiently and effectively by using theprelisting.c. The attributes for testing are as follows:d. The sample sizes for each attribute are as follows:15-28a. Because the sample sizes under nonstatistical sampling are determined using auditor judgment, students’ answers to thisquestion will vary. They will most likely be similar to the samplesizes chosen using attributes sampling in part b. The importantpoint to remember is that the sample sizes chosen should reflectthe changes in the four factors (ARACR, TER, EPER, andpopulation size). The sample sizes should have fairly predictablerelationships, given the changes in the four factors. The followingreflects some of the relationships that should exist in student’ssample size decisions:SAMPLE SIZE EXPLANATION1. 90 Given2. > Column 1 Decrease in ARACR3. > Column 2 Decrease in TER4. > Column 1 Decrease in ARACR (column 4 is thesame as column 2, with a smallerpopulation size)5. < Column 1 Increase in TER-EPER6. < Column 5 Decrease in EPER7. > Columns 3 & 4 Decrease in TER-EPERb. Using the attributes sampling table in Table 15-8, the sample sizesfor columns 1-7 are:1. 882. 1273. 1814. 1275. 256. 187. 149c.d. The difference in the sample size for columns 3 and 6 result fromthe larger ARACR and larger TER in column 6. The extremely largeTER is the major factor causing the difference.e. The greatest effect on the sample size is the difference betweenTER and EPER. For columns 3 and 7, the differences between theTER and EPER were 3% and 2% respectively. Those two also hadthe highest sample size. Where the difference between TER andEPER was great, such as columns 5 and 6, the required samplesize was extremely small.Population size had a relatively small effect on sample size.The difference in population size in columns 2 and 4 was 99,000items, but the increase in sample size for the larger population wasmarginal (actually the sample sizes were the same using theattributes sampling table).f. The sample size is referred to as the initial sample size because itis based on an estimate of the SER. The actual sample must beevaluated before it is possible to know whether the sample issufficiently large to achieve the objectives of the test.15-29 a.* Students’ answers as to whether the allowance for sampling error risk is sufficient will vary, depending on their judgment. However, they should recognize the effect that lower sample sizes have on the allowance for sampling risk in situations 3, 5 and 8.b. Using the attributes sampling table in Table 15-9, the CUERs forcolumns 1-8 are:1. 4.0%2. 4.6%3. 9.2%4. 4.6%5. 6.2%6. 16.4%7. 3.0%8. 11.3%c.d. The factor that appears to have the greatest effect is the number ofexceptions found in the sample compared to sample size. For example, in columns 5 and 6, the increase from 2% to 10% SER dramatically increased the CUER. Population size appears to have the least effect. For example, in columns 2 and 4, the CUER was the same using the attributes sampling table even though the population in column 4 was 10 times larger.e. The CUER represents the results of the actual sample whereas theTER represents what the auditor will allow. They must be compared to determine whether or not the population is acceptable.15-30a. and b. The sample sizes and CUERs are shown in the following table:a. The auditor selected a sample size smaller than that determinedfrom the tables in populations 1 and 3. The effect of selecting asmaller sample size than the initial sample size required from thetable is the increased likelihood of having the CUER exceed theTER. If a larger sample size is selected, the result may be a samplesize larger than needed to satisfy TER. That results in excess auditcost. Ultimately, however, the comparison of CUER to TERdetermines whether the sample size was too large or too small.b. The SER and CUER are shown in columns 4 and 5 in thepreceding table.c. The population results are unacceptable for populations 1, 4, and 6.In each of those cases, the CUER exceeds TER.The auditor's options are to change TER or ARACR, increase the sample size, or perform other substantive tests todetermine whether there are actually material misstatements in thepopulation. An increase in sample size may be worthwhile inpopulation 1 because the CUER exceeds TER by only a smallamount. Increasing sample size would not likely result in improvedresults for either population 4 or 6 because the CUER exceedsTER by a large amount.d. Analysis of exceptions is necessary even when the population isacceptable because the auditor wants to determine the nature andcause of all exceptions. If, for example, the auditor determines thata misstatement was intentional, additional action would be requiredeven if the CUER were less than TER.15-30 (Continued)e.15-31 a. The actual allowance for sampling risk is shown in the following table:b. The CUER is higher for attribute 1 than attribute 2 because the sample sizeis smaller for attribute 1, resulting in a larger allowance for sampling risk.c. The CUER is higher for attribute 3 than attribute 1 because the auditorselected a lower ARACR. This resulted in a larger allowance for sampling risk to achieve the lower ARACR.d. If the auditor increases the sample size for attribute 4 by 50 items and findsno additional exceptions, the CUER is 5.1% (sample size of 150 and three exceptions). If the auditor finds one exception in the additional items, the CUER is 6.0% (sample size of 150, four exceptions). With a TER of 6%, the sample results will be acceptable if one or no exceptions are found in the additional 50 items. This would require a lower SER in the additional sample than the SER in the original sample of 3.0 percent. Whether a lower rate of exception is likely in the additional sample depends on the rate of exception the auditor expected in designing the sample, and whether the auditor believe the original sample to be representative.15-32a. The following shows which are exceptions and why:b. It is inappropriate to set a single acceptable tolerable exception rateand estimated population exception rate for the combinedexceptions because each attribute has a different significance tothe auditor and should be considered separately in analyzing theresults of the test.c. The CUER assuming a 5% ARACR for each attribute and a samplesize of 150 is as follows:15-32 (continued)d.*Students’ answers will most likely vary for this attribute.e. For each exception, the auditor should check with the controller todetermine an explanation for the cause. In addition, the appropriateanalysis for each type of exception is as follows:15-33a. Attributes sampling approach: The test of control attribute had a 6% SER and a CUER of 12.9%. The substantive test of transactionsattribute has SER of 0% and a CUER of 4.6%.Nonstatistical sampling approach: As in the attributes samplingapproach, the SERs for the test of control and the substantive testof transactions are 6% and 0%, respectively. Students’ estimates ofthe CUERs for the two tests will vary, but will probably be similar tothe CUERs calculated under the attributes sampling approach.b. Attributes sampling approach: TER is 5%. CUERs are 12.9% and4.6%. Therefore, only the substantive test of transactions resultsare satisfactory.Nonstatistical sampling approach: Because the SER for the test ofcontrol is greater than the TER of 5%, the results are clearly notacceptable. Students’ estimates for CUER for the test of controlshould be greater than the SER of 6%. For the substantive test oftransactions, the SER is 0%. It is unlikely that students will estimateCUER for this test greater than 5%, so the results are acceptablefor the substantive test of transactions.c. If the CUER exceeds the TER, the auditor may:1. Revise the TER if he or she thinks the original specificationswere too conservative.2. Expand the sample size if cost permits.3. Alter the substantive procedures if possible.4. Write a letter to management in conjunction with each of theabove to inform management of a deficiency in their internalcontrols. If the client is a publicly traded company, theauditor must evaluate the deficiency to determine the impacton the auditor’s report on internal control over financialreporting. If the deficiency is deemed to be a materialweakness, the auditor’s report on internal control wouldcontain an adverse opinion.In this case, the auditor has evidence that the test of control procedures are not effective, but no exceptions in the sampleresulted because of the breakdown. An expansion of the attributestest does not seem advisable and therefore, the auditor shouldprobably expand confirmation of accounts receivable tests. Inaddition, he or she should write a letter to management to informthem of the control breakdown.d. Although misstatements are more likely when controls are noteffective, control deviations do not necessarily result in actualmisstatements. These control deviations involved a lack ofindication of internal verification of pricing, extensions and footingsof invoices. The deviations will not result in actual errors if pricing,extensions and footings were initially correctly calculated, or if theindividual responsible for internal verification performed theprocedure but did not document that it was performed.e. In this case, we want to find out why some invoices are notinternally verified. Possible reasons are incompetence,carelessness, regular clerk on vacation, etc. It is desirable to isolatethe exceptions to certain clerks, time periods or types of invoices.Case15-34a. Audit sampling could be conveniently used for procedures 3 and 4 since each is to be performed on a sample of the population.b. The most appropriate sampling unit for conducting most of the auditsampling tests is the shipping document because most of the testsare related to procedure 4. Following the instructions of the auditprogram, however, the auditor would use sales journal entries asthe sampling unit for step 3 and shipping document numbers forstep 4. Using shipping document numbers, rather than thedocuments themselves, allows the auditor to test the numericalcontrol over shipping documents, as well as to test for unrecordedsales. The selection of numbers will lead to a sample of actualshipping documents upon which tests will be performed.c. Note: The sampling data sheet that follows assumes an attributessampling approach. The only difference between the sampling datasheet for attributes sampling and for nonstatistical sampling is theactual determination of sample size. For nonstatistical sampling,students’ answers will vary, but will most likely be comparable tothe sample sizes determined under attributes sampling.。

Cauchyscriterionforconvergence


5. Cauchy’s criterion
The definition of convergence refers to the number X to which the sequence converges. But it is rare to know explicitly what a series converges to. In fact, the whole point of series is often that they converge to something interesting which you might not know how to describe otherwise. For example, it is essentially the definition of e that it is the number to which the series
xn 1−x
<
or xn < (1 − x)
if n > K. But we can practically take as given in this course that this is so, or in other words that if |x| < 1 then the sequence xn converges to 0. Explicitly, we can solve
6. Convergence by comparison
Theorem. If the series of non-negative terms
x0 + x1 + x2 + · · · converges and |yi| ≤ xi for each i, then the series

Construction of Quantum Field Theories with Factorizing S-Matrices

a r X i v :m a t h -p h /0601022v 3 12 F eb 2007Construction of Quantum Field Theorieswith Factorizing S-MatricesGandalf LechnerErwin Schr¨o dinger Institute for Mathematical Physics,Boltzmanngasse 9,A-1090Vienna,Austria email:gandalf.lechner@esi.ac.at February 12,2007Abstract A new approach to the construction of interacting quantum field theories on two-dimensional Minkowski space is discussed.In this program,models are ob-tained from a prescribed factorizing S-matrix in two steps.At first,quantum fields which are localized in infinitely extended,wedge-shaped regions of Minkowski space are constructed explicitly.In the second step,local observables are analyzed with operator-algebraic techniques,in particular by using the modular nuclearity con-dition of Buchholz,d’Antoni and Longo.Besides a model-independent result regarding the Reeh-Schlieder property of the vacuum in this framework,an infinite class of quantum field theoretic models with non-trivial interaction is constructed.This construction completes a program initiated by Schroer in a large family of theories,a particular example being the Sinh-Gordon model.The crucial problem of establishing the existence of local observables in these models is solved by verifying the modular nuclearity condi-tion,which here amounts to a condition on analytic properties of form factors of observables localized in wedge regions.It is shown that the constructed models solve the inverse scattering problem forthe considered class of S-matrices.Moreover,a proof of asymptotic completeness is obtained by explicitly computing total sets of scattering states.The structure of these collision states is found to be in agreement with the heuristic formulae underlying the Zamolodchikov-Faddeev algebra.1IntroductionIn relativistic quantum field theory,the rigorous construction of models with non-trivial interaction is still a largely open problem.Apart from the well-known results of Glimm and Jaffe [33],most interacting quantum field theories are treated only perturbatively,usually without any control over the perturbation series.The main difficulties in the construction of interacting quantum field theories arise from the principle of Einstein causality,demanding that physical observables must be strictly local ,i.e.represented by commuting operators when spacelike separated.In view of this problem,several authors [17,18,55,58,48,50]have proposed to constructmodels byfirst considering easier manageable,non-local theories,and then passing to a local formulation in a second step.A particular example of such a constructive scheme is the program initiated by Schroer[58,55,56],which deals with quantumfield theories on two-dimensional Min-kowski space.Here the interaction of the models to be constructed is not formulated in terms of classical Lagrangians,but rather by prescribed S-matrices,i.e.the inverse scattering problem is considered.The S-matrices are assumed to be factorizing[36], i.e.of the type found in completely integrable models such as the Sinh-Gordon-,O(N) Sigma-,or Thirring model[1,25].Adopting the idea of constructing local theories byfirst considering non-local aux-iliary quantities,one starts in this program from a given factorizing S-matrix S and defines two non-local quantumfieldsφ,φ′depending on S[42].Although thesefields are not local,they are relatively wedge-local to each other in the following sense.Consider the so-called right wedgeW R:={x∈R2:x1>|x0|},(1.1) and its causal complement W L:=W′R=−W R,the left wedge.Thenφ(x)andφ′(y) commute(in a suitable sense)if the wedges W L+x and W R+y are spacelike separated. Henceφ(x)is not,as usual,localized at the spacetime point x,but rather spread out over the infinitely extended spacetime region W L+x.The advantage of these non-localfield operators is that they can be cast into a very simple form in momentum space.In fact,the only difference to freefields are the deformed commutation relations of their creation and annihilation parts,which form a representation of the Zamolodchikov-Faddeev algebra[63].In particular,φand φ′create only single particle states from the vacuum,without accompanying vacuum polarization clouds.In view of this special property,such operators have been termed polarization-free generators[56],see[14]for a model-independent discussion of this concept.Thefirst step of the inverse scattering construction of models with factorizing S-matrices,i.e.the construction and analysis of their wedge-localfields,has by now been completed for a large class of underlying scattering operators[42,58,17].It is the aim of the present article to accomplish the second step of the construction,i.e.the passage from the wedge-localfields to theories complying with the principle of locality,for the family of S-matrices considered in[42].Usually the task of classifying and constructing quantumfield theories with fac-torizing S-matrices is taken up in the so-called form factor program[59,6].In that approach,one studies localfields A in terms of their matrix elements in scattering states(form factors).The n-point functions of A are then represented as infinite series of integrals over form factors.These form factors have been calculated for a multitude of models[4,30,7,5],at least for the lowest particle numbers.But in almost all cases1 one is still lacking control over the series representing the n-point functions[6].This is due to the complicated form factor functions,and can be understood as a conse-quence of the complicated momentum space structure a local quantumfield must have in the presence of interaction.So at present,the existence of models with prescribed S-matrices cannot be decided within the form factor program.If a given collision operator is expected to be related to a classical Lagrangian,thereis also the possibility of applying the Euclidian techniques of constructive quantumfieldtheory.Along these lines,the existence of the Sine-Gordon model and the non-trivialityof its S-matrix have been established by Fr¨o hlich[31,32].But the hard task of explicitlycomputing the scattering operator and making contact with the form factor approachis still an open problem in this framework.In the context of the wedge-localfieldsφ,φ′,local observables can be characterizedby commutation relations withφandφ′[58].Solving these relations amounts to solvingthe form factor program.We will follow here a different approach,motivated by theobservation that for the analysis of basic questions,such as the existence of theorieswith certain properties,it is not necessary to have explicit expressions for strictly localquantities.The problem to decide if a given factorizing S-matrix is realized as thecollision operator of a well-defined quantumfield theory can be solved by consideringonly the structure of observables localized in wedge regions.To accomplish this task,one has to answer the question whether the wedge-localmodels defined by thefieldsφ,φ′contain also observables localized in bounded space-time regions.A strategy how to solve this existence problem was proposed in[17].Themain idea is to consider the algebras generated by bounded functions ofφ,φ′ratherthan thefields themselves.One proceeds to a net of wedge algebras,i.e.a collection ofvon Neumann algebras A(W),where W runs through the family{W R+x,W L+x:x∈R2}of all wedges in two-dimensional Minkowski space.In this formulation,pow-erful operator-algebraic techniques become available for the solution of the existenceproblem,which have not been employed in other approaches.It has been shown in[17]that non-trivial observables localized in a double coneregion of the form W R∩(W L+x),x∈W R(cf.figure1,p.5)do exist if the so-called modular nuclearity condition[15]holds,i.e.if the mapΞ(x):A(W R)−→H,Ξ(x)A:=∆1/4U(x)AΩ,(1.2) is nuclear.Here∆denotes the modular operator[39]of(A(W R),Ω).So the existence of local observables can be established by estimates on wedge-local quantities.In the context of theories with factorizing S-matrices,the crucial question ariseswhether the modular nuclearity condition holds in such models.We will show herethat this condition takes a very concrete form in these models,and can be solved byanalyzing analytic continuations of form factors of observables localized in wedges.Asour main result,we will give a proof of the nuclearity condition for a large class ofunderlying S-matrices,thereby establishing the existence of the corresponding modelsas well-defined,local quantumfield theories.Moreover,once the modular nuclearitycondition has been established,it is possible to apply the usual methods of scatteringtheory.Doing so,we will compute total sets of n-particle collision states in these mod-els,and prove that the construction solves the inverse scattering problem.This article is organized as follows.In Section2,we extend the analysis of[17]and de-rive further consequences of the modular nuclearity condition in a model-independent,operator-algebraic framework.It is shown there that the Reeh-Schlieder property ofthe vacuum[61],which is a prerequisite for doing scattering theory[2],follows fromthe nuclearity condition(Theorem2.5).For the sake of self-containedness,the basic definitions and results regarding themodels based on thefieldsφ,φ′are recalled in Section3.Also the classes of factorizingS-matrices which we consider are defined there(Definitions3.1and3.3).In Section4,analytic continuations of form factors of observables localized in wedges are studied.It is then shown in Section5how these analytic properties can be used to verify the modular nuclearity condition.We obtain two proofs of different generality (Theorems5.6and5.8).Section6is devoted to a study of the collision states of the constructed models.It is shown that our construction solves the inverse scattering problem for the considered class of S-matrices(Theorem6.3),and a proof of asymptotic completeness is given (Proposition6.2).The paper closes in Section7with our conclusions,and the technical proof of a lemma needed in Section4can be found in the appendix.This article is based on the PhD thesis of the present author[45].2Construction of Local Nets from a Wedge AlgebraIn this section we discuss some model-independent aspects of the construction proce-dure.In contrast to the following chapters,we will here base our analysis only on assumptions which are satisfied in a wide class of quantumfield theories,and do not use the special structure of the integrable models to be studied later.As explained in the Introduction,it is our aim to construct strictly local quantum field theories,but use auxiliary objects which are localized only in wedge regions during the construction.We therefore consider an algebra M modelling the observables local-ized in the reference wedge W R(1.1),and a representation U of the two-dimensional translation group(R2,+).Given these data,we will construct a corresponding quan-tumfield theory by specifying,for arbitrary regions O in two-dimensional Minkowski space,the algebras A(O)containing all its observables localized in O,and show that they have the right physical properties.The“wedge algebra”M is taken to be a von Neumann algebra acting on a Hilbert space H,which in order to exclude trivialities we assume to satisfy dim H>1.More-over,we requireA1)U is strongly continuous and unitary.The joint spectrum of the generators P0, P1of U(R2)is contained in the forward light cone{p∈R2:p0≥|p1|}.There is an up to a phase unique unit vectorΩ∈H which is invariant under the action of U.A2)Ωis cyclic and separating for M.A3)For each x∈W R,the adjoint action of the translation U(x)induces endomor-phisms on M,M(x):=U(x)M U(x)−1⊂M,x∈W R.(2.3)Assumption A1)is standard in quantumfield theory[61,34],and identifiesΩas the vacuum vector.A2)and A3)are abstract characterizations of M as an algebra of observables localized in W R[11,17].It should be mentioned that the assumptions A1)-A3)put strict constraints on the algebraic structure of M.The following result has been found in[47,26].Lemma2.1Consider a triple(M,U,H)satisfying the assumptions A1)-A3).Then M is a type III1factor according to the classification of Connes[22].Keeping this structure of M in mind,let us recall how a net O→A(O)of local algebras can be constructed from the data(M,U,H)[11,17].As the operators in M(x)(2.3)are interpreted as observables localized in the trans-lated right wedge W R+x,the elements of the commutant M(x)′correspond to observ-ables in its causal complement W L+x,where W L:=W′R=−W R is the left wedge.For an operator A representing an observable in the double cone region O x,y with vertices x,y,O x,y:=(W R+x)∩(W L+y),y−x∈W R,(2.4) Einstein causality demands that A must commute with both algebras,M(x)′and M(y)Figure1:The double cone O x,y(2.4)and its causal complement O x,y′=(W L+x)∪(W R+y).(seefigure1).The maximal von Neumann algebra of operators A∈B(H)compatible with this condition isA(O x,y):=M(x)∩M(y)′.(2.5) Denoting the set of all double cones in R2by O:={O x,y:y−x∈W R},this definition is extended to arbitrary regions R⊂R2by additivity,A(R):= R⊃O∈O A(O).(2.6)This prescription determines in particular the locally generated subalgebras A(W R)⊂M,A(W L)⊂M′associated to the right and left wedges,and the von Neumann alge-bra A(R2)⊂B(H)of all local observables.It is straightforward to verify that the so defined algebras A(O)comply with the ba-sic principles of isotony,locality and covariance[34],i.e.they fulfill[11,Sec.III], O,O1,O2⊂R2,Isotony:A(O1)⊂A(O2)for O1⊂O2.(2.7) Locality:A(O1)⊂A(O2)′for O1⊂O′2.(2.8)Translation Covariance:U(x)A(O)U(x)−1=A(O+x),x∈R2.(2.9) As a consequence of A2),the modular theory of Tomita and Takesaki(cf.,for example, [39])applies to the pair(M,Ω).It has been shown by Borchers[11]that in the present situation,the modular unitaries and modular group of(M,Ω)can be used to extend U to a representation of the proper Poincar´e group,under which the net O→A(O) also transforms covariantly.But this fact will not be needed in our subsequent consid-erations.The three properties of the algebras A(O)mentioned above allow to interpret the ele-ments of A(O)as observables which are localized in O⊂R2.However,two important properties of these algebras are still missing.First of all,it is not clear if our definition contains any non-trivial observables localized in bounded spacetime regions,i.e.the intersections(2.5)could be trivial in the sense that A(O)=C·1.Since a quantumfield theory should contain local observables,at least in spacetime regions above some minimal size,a condition implying the non-triviality of the algebras(2.5)is necessary.Thinking of applications to the explicit construction of models in an inverse scatter-ing approach,one would also like to implement the postulate that the models defined by the observable algebras A(O)have a well-defined S-matrix.In the framework of algebraic quantumfield theory,collision states and the S-matrix can be calculated with the help of Haag-Ruelle scattering theory[2].For this method to be applicable,however,two additional conditions have to be satisfied.Firstly,more detailed information about the energy momentum spectrum encoded in U is needed [2].As we can choose U from the outset,this requirement poses no difficulties here. But besides these spectral properties,scattering theory relies on the notion of quasi-localized excitations of the vacuum,which can only be constructed if the Reeh-Schlieder property[61,2]holds,i.e.if the vacuum vectorΩis cyclic for the local algebras A(O). In[17],the following additional assumption,known as the modular nuclearity con-dition in the literature[15,16],was made to exclude the case of a quantumfield theory without local observables.A4)Let∆denote the modular operator of(M,Ω).Then for x∈W R,the mapsΞ(x):M→H,Ξ(x)A:=∆1/4U(x)AΩ(2.10) are assumed to be nuclear2.The modular nuclearity condition A4)is known[15]to imply the split property[24]for the inclusion M(x)⊂M,x∈W R,i.e.the existence of a type I factor N x such thatM(x)⊂N x⊂M.(2.11) Moreover,it has been shown in[17]that this inclusion is even a standard split inclusion in the terminology of[24],i.e.there exist vectors in H which are cyclic and separating for the three algebras M,M(x)and M∩M(x)′.Since M(and hence M(x),too)is a factor(Lemma2.1),the standard split property of M(x)⊂M is equivalent to the following condition[23,24].A4′)For x∈W R,there exists a unitary V x:H→H⊗H such that3V x M′∨M(x) V∗x=M′⊗M(x),(2.12)V x M′NV∗x=M′⊗N,M′∈M′,N∈M(x).(2.13)Given A1)-A3),condition A4)implies A4′),but A4′)is slightly weaker than A4)[15]. In the present section,devoted to a model-independent analysis of the algebraic struc-ture,A4′)turns out to be the more convenient condition to work with.However,the somewhat stronger modular nuclearity condition A4)has the advantage that it can be checked more easily in concrete applications.We therefore formulate also the results of this section in terms of the latter condition,and begin by recalling the non-triviality result of[17].Theorem2.2[17]Consider a triple(M,U,H)satisfying the assumptions A1)-A4). Then the double cone algebras A(O)(2.5),O∈O,are isomorphic to the hyperfinite type III1factor.As type III algebras,the double cone algebras are far from trivial,and therefore local observables exist in abundance if the modular nuclearity condition is satisfied. Moreover,it follows that the set of vectors which are cyclic for a given A(O),O∈O, is dense Gδin H[17].In the remainder of this section,we will show that it can also be deduced in the general situation described by the assumptions A1)-A4).In a particular example of a triple(M,U,H),the cyclicity of the vacuum has already been established by Buchholz and Summers by explicit calculation of local observables [20].In the following lemma,we start our analysis by comparing M to the locally generated wedge algebra A(W R)⊂M(2.6).Lemma2.3Consider a triple(M,U,H)satisfying the assumptions A1)-A4).Then M is locally generated,i.e.A(W R)=M.Proof:Let x∈W R befixed and consider the sequence of double conesO n:=O0,nx=W R∩(W L+nx),n∈N.(2.14) As x∈W R,this sequence is increasing in the sense that O n⊂O n+1,n∈N.More-over,it exhausts all of W R,i.e.every bounded subset of W R lies in some O n.Hence n A(O n)=A(W R).The left vertex of each O n is the origin,and the algebras A(O n)are according to the definition(2.5)given by A(O n)=M∩M(nx)′.The split property(2.12)provides us with a unitary V x:H→H⊗H implementing an isomorphism between A(O1)′=M′∨M(x)and M′⊗M(x).In view of(2.13),we find by restriction to M′V x M′V∗x=M′⊗1,(2.15) and since M(nx)⊂M(x)(A3),alsoV x A(O n)′V∗x=V x M′∨M(nx) V∗x=M′⊗M(nx),n∈N.(2.16)We thus obtainA(W R)′= n∈N A(O n)′=V∗x n∈N M′⊗M(nx) V x=V∗x M′⊗ n∈N M(nx) V x.(2.17)In the last step,we used the commutation theorem for tensor products of von Neumann algebras(or rather,a consequence thereof,see[62,Cor.IV.5.10]). Now consider M∞:= n M(nx).By construction,this algebra is stable under translations,U(y)M∞U(y)−1⊂M∞,y∈R2.The same is true for its commutant M′∞,which furthermore hasΩas a cyclic vector since it contains M′,andΩis cyclic for M′(A2).But asΩis(up to multiples)the only translation invariant vector and the spectrum condition holds(A1),it follows by standard arguments(cf.,for example, [12])that M′∞=B(H),i.e.M∞=C·1.Inserting this equality into(2.17)yields A(W R)′=V∗x(M′⊗1)V x,which in view of (2.15)equals M′.Hence the claim A(W R)=M follows.To go on,we need another lemma,which is due to M¨u ger[49,Lemma2.7]. Lemma2.4(M¨u ger)Let(M,U,H)satisfy the assumptions A1)-A4),and consider three points x,y,z∈R2such that y−x∈W R and z−y∈W R.Then A(O x,y)∨A(O y,z)=A(O x,z).Geometrically speaking,this lemma states that the algebras of two double cones O1,O2 having one of their(left or right)vertices in common generate the algebra of the smallest double cone containing O1and O2.It thus establishes a relation between the algebras of double cones of different sizes,and enables us to derive the Reeh-Schlieder property.In the following theorem,we give a proof of this property and some related conse-quences of Lemma2.3and2.4.Theorem2.5Consider a triple(M,U,H)satisfying A1)-A4)and the local net O→A(O)defined by(2.5,2.6).Thena)The Reeh-Schlieder property holds,i.e.Ωis cyclic and separating for each doublecone algebra A(O),O∈O.b)Haag duality holds,i.e.A(O)′=A(O′)for any double cone or wedge O.c)Weak additivity holds,i.e.for any open region O⊂R2,x∈R2A(O+x)=A(R2)=B(H).(2.18)Proof:a)Given any two double cones O,˜O∈O,there exists n∈N and translations x1,...,x n∈R2such that˜O⊂((O+x′′,(2.19)1)∪...∪(O+x n))and(O+x k),(O+x k+1)have one vertex in common,k=1,...,n−1.So,by iterated application of Lemma2.4,it follows thatx∈R2A(O+x)= ˜O∈O A(˜O)=A(R2).(2.20)Hence we can use the standard Reeh-Schlieder argument making use of the spectrum condition of U(cf.,for example,[2])to show thatΩis cyclic for A(O)if and only if it is cyclic for A(R2).But in view of Lemma2.3,M=A(W R)is contained in A(R2). SinceΩis cyclic for M,it is also cyclic for A(R2),and hence for A(O).It has been shown by Borchers[11]that the modular conjugation J of(M,Ω)acts as the total spacetime reflection,J A(O)J=A(−O).Since W L=−W R,this implies together with Lemma2.3A(W L)=J M J=M′,i.e.wedge duality holds.Taking into account the translation covariance of the net,we furthermorefindA(O x,y)′=M(x)′∨M(y)=A(W L+x)∨A(W R+y)=A(O x,y′),(2.21) showing the Haag duality of the net(b).According to the above remarks,A(R2)contains M and M′.Since M is a factor, also A(R2)=B(H)follows,as the last claim to be proven.Besides the properties of the net O→A(O)mentioned in Theorem2.5,further additional features like the split property for double cones,the time slice property and n-regularity can be derived,as has been shown by M¨u ger[49].The strong results of Theorems2.2and2.5open up a new perspective on the con-struction of quantumfield theories on two-dimensional Minkowski space,emphasizing the role of the local observable algebras.Each triple(M,U,H)satisfying the assump-tions A1)-A4)gives rise to a net of local algebras,which can be interpreted as the (non-trivial)observable algebras of a well-defined quantumfield theory satisfying the Reeh-Schlieder property.Hence model theories can be constructed byfinding examples of such triples.In the following sections,we will construct these objects,verify the assumptions A1)-A4), and discuss the properties of the corresponding model theories.3A Class of Models with Factorizing S-MatricesWe now turn to the concrete construction of interacting quantumfield theories on two-dimensional Minkowski space.For simplicity,we consider here models containing only a single species of particles4of mass m>0.We will use the rapidityθto parametrize the(one-dimensional)upper mass shell according to p(θ):=m(coshθ,sinhθ).Our approach is that of inverse scattering theory,i.e.a given S-matrix S is the input in the construction.The family of theories we will study is characterized by the condition that S is factorizing.(For an introduction to factorizing S-matrices,see for example the review[25].)This term derives from the fact that in a model with a factorizing S-matrix,all scattering amplitudes are products of delta distributions and a single function[36],the so-called scattering function S2.On rapidity wavefunctions Ψin n(θ1,...,θn)of n incoming particles,the S-matrix S therefore acts as a multiplication operator,(SΨin n)(θ1,...,θn)= 1≤l<k≤n S2(|θl−θk|)·Ψin n(θ1,...,θn).(3.22)In particular,the particle number is a conserved quantity in collision processes governed by a factorizing S-matrix.This feature is typical for completely integrable models, which provide a rich class of examples for such scattering operators[1].Basic properties of S,like unitarity,crossing symmetry and its analytic properties, imply corresponding properties of the scattering function S2[1,25,6],which we take as a definition.Here and in the following,we writeS(a,b):={ζ∈C:a<Imζ<b}(3.23) for strips in the complex plane.Definition3.1(Scattering functions)A scattering function is a bounded and continuous function S2:S2(θ)=S2(θ)−1=S2(θ+iπ)=S2(−θ).(3.24) The set of all scattering functions is denoted S.A special scattering function is S free2(θ)=1,which belongs to the interaction-freeS-matrix S free=id(3.22).A simple example with non-trivial interaction is given by the Sinh-Gordon model.By comparison with perturbation theory,the scattering function of this model is expected to be[3]S ShG 2(θ)=sinhθ−i sin bn! ρ∈n D n(ρ),(3.29) is the orthogonal projection onto the D n-invariant functions in L2(R n).With the help of the“S2-symmetrization”P n,we define the Hilbert space H of the model with scattering function S2asH0:=C,H n:=P n L2(R n),n≥1,H:=∞n=0H n.(3.30)The vectors in H are sequencesΨ=(Ψ0,Ψ1,...),Ψn∈H n,such that the norm corresponding to the scalar product Ψ,Φ :=Ψn(θn,...,θ1).(3.33) For the proof that U is an(anti-)unitary representation of P+on H,see[42].By inspection of U,it follows thatΩ:=(1,0,0,...)is up to multiples the only U-invariant vector in H.The representation of the translations required in the discussion of the previous sec-tion will be identified with the restriction of U to the translation subgroup,and we will also employ the shorthand notation U(x):=U(x,0).Clearly,U satisfies the spectrum condition and is strongly continuous,i.e.assumption A1)of Section2is satisfied.Having specified the Hilbert space H and the representation U,we now turn to the construction of the“wedge algebra”M⊂B(H).On the S2-symmetric Fock space,there acts an algebra of creation and annihilation operators z†(ψ),z(ψ),ψ∈H1.These are unbounded operators,in general,but always contain D in their domains.They are defined by,Φ∈D,(z†(ψ)Φ)n:=√ψ)∗,ψ∈H1.(3.34)Since z(ψ)Ω=0,z†(ψ)Ω=ψ,we call z and z†annihilation and creation operators, respectively.The following bounds with respect to the particle number operator N hold[17]:z(ψ)Φ ≤ ψ N1/2Φ , z†(ψ)Φ ≤ ψ (N+1)1/2Φ ,Φ∈D.(3.35) From time to time,we will also work with the distributions z(θ),z†(θ),which are related to the above operators by the formal integrals z#(ψ)= dθψ(θ)z#(θ),z#=z,z†. These distributions satisfy the relations of the Zamolodchikov-Faddeev algebra[63,59],z(θ1)z(θ2)=S2(θ1−θ2)z(θ2)z(θ1),(3.36a)z(θ1)z†(θ2)=S2(θ2−θ1)z†(θ2)z(θ1)+δ(θ1−θ2)·1,(3.36b) where1denotes the identity in B(H).For later reference,we mention here that in view of the definition(3.34),there holds in particularz†(θ1)···z†(θn)Ω,Ψ =√2π d2x f(x)e±ip(θ)·x.(3.38) Thisfield has a number of interesting properties[42].To begin with,it transforms covariantly under the adjoint action of the proper orthochronous Poincar´e transforma-tions U(x,λ),and it has the Reeh-Schlieder property.Moreover,φis a solution of the Klein-Gordon equation since it creates single particle states from the vacuum.Conve-nient mathematical properties ofφ(f)are its essential self-adjointness for real f,and the fact that f→φ(f)Ψ,Ψ∈D,is a vector valued tempered distribution.As is familiar from freefield theory,φhas well-defined time zerofieldsϕ,π,which are given byϕ(f)=z†(ˆf)+z(ˆf−),ˆf(θ):= f(m sinhθ),(3.39a)π(f)=i z†(ωˆf)−z(ωˆf−) ,ˆf−(θ):=ˆf(−θ).(3.39b) Here the single particle Hamiltonianω=m coshθacts as a multiplication operator on its domain in H1.However,as a consequence of the commutation relations(3.36),φis not local,in general.Locality holds if and only if S2=1,and in this caseφcoincides with the free scalarfield of mass m.For generic scattering function S2∈S,it was discovered by Schroer[55]that althoughφis not strictly local,it is not completely delocalized either.The localization properties ofφare most easily understood by introducing a secondfield operatorφ′[42],φ′(f):=U(j)φ(f j)U(j),f j(x):=。

随机偏微分方程基础教程


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Linear SPDEs / Stochastic Convolutions 5.1 Time and space regularity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.2 Long-time behaviour . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.3 Convergence in other topologies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Semilinear SPDEs 6.1 Local solutions . . . . . . . . . . . . . . . . . . . 6.2 Interpolation inequalities and Sobolev embeddings 6.3 Reaction-diffusion equations . . . . . . . . . . . . 6.4 The stochastic Navier-Stokes equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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S OME M OTIVATING E XAMPLES
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where Uτ η = τ | U |η and l = (1 − |Uτ η |2 )1/2 . Letting Uτ η = sin(β )eiα , we can write, from (2), U |η = sin(β )eiα |I + cos(β ) |II , and the Grover kernel can now be written G = − Gη Gτ = − (3)
arXiv:quant-ph/0112035v1 7 Dec 2001
A General SU (2) Formulation for Quantum Searching with Certainty
Jin-Yuan Hsieh1, Che-Ming Li2 1 Department of Mechanical Engineering, Ming Hsin Institute of Technology, Hsinchu 30441, Taiwan. 2 Institute and Department of Electrophysics,National Chiao Tung University, Hsinchu 30050, Taiwan.
also using the SO (3) picture . In the last article, however, only the certainty for finding the marked state is ensured. In fact a phase angle appearing in the amplitude of the final state after searching will remain. If the final state should be necessary for a future application, i.e., if it should interact with other states, this phase angle will be important for quantum interferences, but it can not be given in the SO (3) representation. We therefore intend to derive the matching condition in the SU (2) picture. Besides, we will also give a more concise formula for evaluating the number of the iterations needed in the searching and deduce the final state in a complete form as eiδ |τ , where |τ is the marked state. The optimal choice of the phase angles will be discussed, too. Suppose in a two-dimensional, complex Hilbert space we have a marked state |τ to be searched by successively operating a Grover’s kernel G on an arbitrary initial state |s . The Grover kernel is a product of two unitary operators Gτ and Gη , given by Gτ = I + (eiφ − 1) |τ τ | , Gη = I + (eiθ − 1)U |η η | U −1 , (1)
eiφ (1 + (eiθ − 1) sin2 (β )) (eiθ − 1) sin(β ) cos(β )eiα eiφ (eiθ − 1) sin(β ) cos(β )e−iα 1 + (eiθ − 1) cos2 (β )
.
(4)
In the searching process, the Grover kernel is successively operated on the initial state |s . We wish that after, say, m iterations the operation the final state will be orthogonal to the basis vector |II so that the probability for finding the marked state |τ will exactly be unity. Alternatively, in mathematical expression, we wish to fulfill the requirement II | Gm |s = 0 , since then | τ | Gm | s | = | I | Gm | s | = 1 . 2 (6) (5)
Abstract A general quantum search algorithm with arbitrary unitary transformations and an arbitrary initial state is considered in this work. To serach a marked state with certainty, we have derived, using an SU (2) representation: (1) the matching condition relating the phase rotations in the algorithm, (2) a concise formula for evaluating the required number of iterations for the search, and (3) the final state after the search, with a phase angle in its amplitude of unity modulus. Moreover, the optimal choices and modifications of the phase angles in the Grover kernel is also studied.
Quantum mechanical algorithms have recently become very popular in the field of computation science because they can speed up a computation over classical algorithms. Famous examples include the factorizing algorithm discovered by Shor[1] and the quantum search algorithm well-develpoed by Grover[2][3]. The latter is what we intend to deal with in this work. If there is an unsorted database containing N items, and out of which only one marked √ item satisfies a given condition, then using Grover’s algorithm one will find the object in O ( N ) ′ quantum mechanical steps instead of O (N ) classical steps. It has been shown that Grover s original algorithm is optimal [4][5][6]. But Grover’s algorithm provides a high probability in finding the object only for a large N . The probability will be lower as N decreases. Grover[7], however, also proposed that the Walsh-Hadamard transformation used in the original version can be replaced by almost any arbitrary unitary operator and the phase angles of rotation can be arbitrarily used as well, instead of the original π -angles. The utility of the arbitrary phase angles in fact can provide the possibility for finding the marked item with certainty, no matter whether N is large or not, if these angles obey a so-called matching condition. Some typical literatures concerning with the matching condition will be mentioned here. Long et al.[8] [9]have derived the relation φ = θ, where φ and θ are the phases used in the algorithm, using an SO (3) picture. Høyer[10] , on the other hand, has proved a relation tan(φ/2) = tan(θ/2)(1 − 2/N ), and claimed that the relation φ = θ is an approximation to this case. Recently, a more general matching condition has been derived by Long earbitrary unitary operator, |η is another unit vector in the space, and φ and θ are two phase angles. It should be noted that the phases φ and θ actually are the differences φ = φ2 − φ1 and θ = θ2 − θ1 , where φ2 , φ1 , θ2 , and θ1 , as depicted in refs.[12] [13] , denote the rotating angles to |τ , the vector orthogonal to |τ , U |η , and the vector orthogonal to U |η , respectively. The Grover kernel can be expressed in a matrix form as long as an orthonormal set of basis vectors is designated, so we simply choose |I = |τ and |II = (U |η − Uτ η |τ )/l , (2)
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