Sequence and Series of Real Numbers

Total Page:16

File Type:pdf, Size:1020Kb

Sequence and Series of Real Numbers SEQUENCE AND SERIES OF REAL NUMBERS Dr. Vimlesh Assistant Professor, Mathematics Sri Ram Swaroop Memorial University Lucknow-deva Road, U.P. Dr. Pragya Mishra Assistant Professor, Mathematics Pt. Deen Dayal Upadhaya Govt. Girl’s P. G. College, Lucknow, U.P. What is a Sequence? In mathematics a sequence is an ordered list , like a set, it contains members called elements or terms of sequence. Most precisely, a sequence of real numbers is defined as a function S: N R, then for each n∈N, S(n) or 푆푛 is a real number. The real numbers 푆1 푆2 ,푆3,……. ,푆푛 are called terms of sequence. A sequence may be written as *푆1 푆2 푆3……. 푆푛} or {푆푛}. For example 푡ℎ The 푛 term of the sequence {-5n} is 푆푛 = −5푛 then the sequence becomes {-5,-10, -15, ……..-5n…….}. 푛 The 푛푡ℎ term of the sequence {푆 } is 푆 = , the sequence is 푛 푛 푛+1 2 3 {1, , , …}. 3 4 A sequence is also given by its recursion formula where 푆1 = 1and 푆푛 = 3푆푛 , then the sequence is {1, 3, 3√3, … …}. INFINITE SERIES A series is , roughly speaking , a description of the operation of adding infinitely many quantities one after the other, to a given starting quantity. An expression of the form 푎1 + 푎2 + ⋯ +푎푛 + ⋯, where each 푎푛 is real numbers , in which each term is followed by another term is known as infinite series of real ∞ 푡ℎ numbers. It is denoted by 푛=1 푎푛 표푟 푎푛 , here 푎푛 is 푛 term of the series. The sum of n terms of series is denoted by 푆푛 , thus 푛 푆푛 = 푎1 + 푎2 + ⋯ + 푎푛 = 푛=1 푎푛. SEQUENCE OF PARTIAL SUM Suppose 푎푛 is infinite series. We define a sequence *푆푛} as follows: 푆1 = 푎1, 푆2 = 푎1 + 푎2, 푆3 = 푎1 + 푎2 + 푎3, - - 푆푛 = 푎1 + 푎2 + 푎3 + ⋯ + 푎푛 and so on The sequence *푆푛} is called a sequence of partial sums of series 푎푛. CONVERGENCE, DIVERGENCE AND OSCILLATION OF A SERIES 1. CONVERGENT : A series 푎푛 is said to be convergent if the sequence *푆푛} of partial sums of series converges to a real number S. i.e. lim 푆푛 = 푆, where S is finite and unique. 푛→∞ 2. DIVERGENT: A series is said to be divergent if the sequence *푆푛} of partial sum diverges to +∞ 표푟 − ∞. i.e. i.e. lim 푆푛 = ±∞. 푛→∞ 3. OSCILLATORY: A series is oscillatory if sequence *푆푛} of partial sum of series oscillates i.e. lim 푆푛 does not tend to unique limit. 푛→∞ For example: consider the series 1 1 1 + + + ⋯ 1.2 2.3 3.4 1 1 1 1 Here 푆 = + + + ⋯ + 푛 1.2 2.3 3.4 푛(푛+1) 1 1 1 1 1 1 1 = 1 − + − + − + ⋯ + − 2 2 3 3 4 푛 푛+1 1 1 푆푛 = 1 − lim 푆푛 = lim 1 − = 1 − 0 = 1 푓푖푛푖푡푒 . 푛+1 푛→∞ 푛→∞ 푛+1 Hence the series converges to 1. Consider the series 푛 2 3 3 = 3 + 3 + 3 + ⋯ 푛 푛 Here 푆푛 = 3 − 1 , lim 푆푛 = lim 3 − 1 = ∞. 푛→∞ 푛→∞ Hence the series is divergent. Example: Consider the series (−ퟏ)풏−ퟏ . 푛−1 • Here 푎푛 = (−1) 푛표푤 푆1 = 푎1 = 1 • 푆2 = 푎1 + 푎2 = 1 − 1 = 0, • 푆3 = 푎1 + 푎2 + 푎3 = 1 − 1 + 1 = 1, 푆4 = 0, 푆5 = 1 … . 푠표 표푛. • Therefore *푆푛+ = 1,0,1,0, … Which Oscillates between 0 and 1.So the series is oscillatory. Elementary Properties of series The alteration of a finite number of terms of a series has no effect on convergence and divergence. 1. If a series converges or has an infinite sums, their sum is unique. 2. Multiplication of the terms of a series by a nonzero constant K doesnot effect the convergence or divergence of a series. ∞ ∞ 퐾푎푛 = 푘 푎푛 푛=1 푛=1 Necessary Condition For Convergence: Theorem: If a series converges, its general term tends toward zero as n becomes infinity i.e. if the series 푎푛 converges , then lim푛→∞푎푛 = 0. But the converse is not true. Proof: let us consider the series 푎푛 . Consider *푆푛} be the sequence of partial sums of series 푎푛 . 푆푛 = 푎1 + 푎2 + ⋯ + 푎푛−1 + 푎푛 푆푛−1 = 푎1 + 푎2 + ⋯ + 푎푛−2 + 푎푛−1 푆푛 − 푆푛−1 = 푎푛 Since the series 푎푛 converges , so *푆푛} converges Let lim 푆푛 = 푠 푡푕푒푛 lim 푆푛−1 = 푠 푛→∞ 푛→∞ Therefore lim 푎푛 = lim 푆푛 − lim 푆푛−1 = 푠 − 푠 = 0 푛→∞ 푛→∞ 푛→∞ Hence lim 푎푛=0 푛→∞ Thus the condition for convergence is necessary but not sufficient. Consider the harmonic series 1 1 1 1 = 1 + + + ⋯ + + ⋯ 푛 2 3 푛 1 1 Here 푎푛= lim푎푛 = lim = 0 푛 푛→∞ 푛→∞ 푛 1 But the series is divergent . (by p-test) 푛 RESULT FOR GEOMETRIC SERIES The geometric series 푟푛 = 1 + 푟 + 푟2 + 푟3 + ⋯ (푟 > 0) is convergent if 푟 < 1 and divergent if 푟 ≥ 1. Examples: 1 1 1 1 The series = + + ⋯ + + ⋯ is convergent. 2푛 2 22 2푛 Here the series is G.P. series where common ratio 푟 = 1/2 < 1. so the above series converges. The series 3푛 = 3 + 32 + 33 + ⋯ is divergent, since 푟 = 3 > 1. POSITIVE TERM SERIES An infinite series whose terms are positive or more generally, a non negative series (a series whose terms are nonnegative) are called positive term series. Theorem: (A test for a positive series) A positive term series 푎푛 is convergent if and only if its sequence *푆푛} of partial sum bounded above. Equivalently, a positive term series 푎푛 converges iff 푆푛 < 푘 ∀푛 ∈ 푁. Remark: Since monotonic sequence either converge or diverge but never oscillate. Therefore positive term series are either converge or diverge. Test for Divergence Theorem: If 푎푛is a positive series such that lim 푎푛 ≠ 0, then the 푎푛 diverges. 푛→∞ 휋 EXAMPLE(1): Test the convergence of series ∞ 푐표푠 . 푛=1 2푛 휋 휋 Here 푎푛 = 푐표푠 , Then lim 푎푛 = lim 푐표푠 = cos0 = 1 ≠ 0. 2푛 푛→∞ 푛→∞ 2푛 So by theorem lim 푎푛 ≠ 0 then the series is divergent. 푛→∞ 1 2 푛 Example (2): consider the series + + ⋯ + + ⋯ 푛 6 2 푛+1 푛 푛 1/2 1 1/2 Here 푎푛 = lim 푎푛 = lim = lim 2 푛+1 푛→∞ 푛→∞ 2푛 1+1/푛 푛→∞ 2 1+1/푛 1 = ≠ 0 2 Hence the series is divergent. SOME COMPARISON TEST FIRST COMPARISON TEST: Theorem: let 푎푛 and 푏푛be two positive term series such that 푎푛≤ 푘 푏푛 ∀푛 ≥ 푚 (k being a fixed positive number and m a fixed positive integer. Then 1. If 푏푛 converges implies 푎푛converges. 2. If 푎푛diverges implies 푏푛diverges. 1 CONVERGENCE OF p-SERIES 푛푝 ퟏ ퟏ ퟏ ퟏ The series ∞ = + + ⋯ + + ⋯ (퐩 > ퟎ) 풏=ퟏ 풏풑 ퟏ풑 ퟐ풑 풏풑 Converges if (p >1) and diverges if 풑 ≤ ퟏ . 2 EXAMPLE consider the series 푒−푛 푒푥 > 푥 ∀푥 > 0\ 2 푒푛 > 푛2 ∀푛 1 1 −푛2 1 2 < 푒 < ∀푛 푒푛 푛2 푛2 1 Since ∞ converges (by p-series test here p=2 >1) 푛=1 푛2 2 Hence by first comparison test 푒−푛 is convergent. ∞ 1 EXAMPLE: Consider series 푛=2 푛2 log 푛 1 1 Since we know that > ∀푛 ≥ 2 푛2 log 푛 푛2 1 Here series ∞ is convergent since p = 2 > 1 푛=1 푛2 So by first comparison test ∞ 1 is convergent. 푛=2 푛2 log 푛 LIMIT FORM TEST Theorem Let 풂풏 and 풃풏 be two positive term series such that 풂 퐥퐢퐦 풏 = 풍 (풍 풊풔 풏풐풏풛풆풓풐 풂풏풅 풇풊풏풊풕풆) 풏→∞ 풃풏 Then 풂풏 and 풃풏 converges and diverges together. i.e. 풃풏converges implies 풂풏 converges. 풃풏 diverges implies 풂풏 diverges. REMARKS: 1. If l = 0 표푟 푙 = ∞ then above test may not hold good. 2. To apply limit test on the series 푎푛, we have to select series 푏푛 called auxillary 푡ℎ series (which is usually p-series) in which the 푛 term of 푏푛 behaves as 푎푛, for large values of n written as 푎푛~푏푛. For large values of n we have 1 1 ~ 푛2 + 1 푛2 1 1 1 ~ = . 푛+ 푛+1 푛+ 푛 2 푛 We also take 푏푛 as 1 푏 = where 푎 푎푛푑 푏 are higher indices of n in denominator and numerator. 푛 푛(푎−푏) 푛 1 1 For example 푎 = then 푏 = = 푛 푛3+ 푛 푛 푛3−1 푛2 푎 And usually lim 푛 = 1. 푛→∞ 푏푛 1 The series converges if 푝 > 1 and diverges if 푝 ≤ 1. 푛푝 EXAMPLES 1 3 5 consider the series + + + ⋯ 1.2.3 2.3.4 3.4.5 The 푛푡ℎ term of the series is 2푛 − 1 푎 = 푛 푛(푛 + 1)(푛 + 2) 1 2 − 푎 = 푛 푛 1 2 푛2(1 + )(1 + ) 푛 푛 1 Let us consider the auxiliary series 푏 = 푛 푛2 2 푎푛 (2푛−1)푛 Then = 푏푛 푛(푛+1)(푛+2) 풂 푛(2푛 − 1) 풏 = 풃풏 (푛 + 1)(푛 + 2) 풂 풏 ퟐ풏 − ퟏ lim 풏 = lim 푛→∞ 풃풏 푛→∞ ퟏ + 풏 풏 + ퟐ 푎 1 2 − 1\푛 푙푖푚 푛 = 푙푖푚 1 푛→∞ 푏푛 푛→∞ 1 + 푛 1 + 2\푛 풂 ퟏ ퟐ − ퟎ lim 풏 = 푛→∞ 풃풏 ퟏ + ퟎ ퟏ + ퟎ = 2 ≠ 0 푓푖푛푖푡푒 1 So 푎 and 푏 converges or diverges together since the series 푏 = converges 푛 푛 푛 푛2 (because p=2>1). Hence 푎푛 converges. ∞ 4 4 Example: Test the convergence of the series 푛=1 푛 + 1 − 푛 − 1 Sol: Here 푛푡ℎ term of the series will be 푛4 + 1 + 푛4 − 1 4 4 푎푛 = 푛 + 1 − 푛 − 1 × 푛4 + 1 + 푛4 − 1 푛4 + 1 − 푛4 − 1 2 푎푛 = ~ 푛4 + 1 + 푛4 − 1 1 1 n2 1 + + n2 1 − n4 n4 1 Consider 푏 = then 푛 푛2 푎 2 lim 푛 = lim 푛→∞ 푏푛 푛→∞ 1 1 1 + + 1 − 푛4 푛4 2 = = 1 ≠ 0(푓푖푛푖푡푒) 2 1 So 푎 and 푏 converges or diverges together .
Recommended publications
  • Abel's Identity, 131 Abel's Test, 131–132 Abel's Theorem, 463–464 Absolute Convergence, 113–114 Implication of Condi
    INDEX Abel’s identity, 131 Bolzano-Weierstrass theorem, 66–68 Abel’s test, 131–132 for sequences, 99–100 Abel’s theorem, 463–464 boundary points, 50–52 absolute convergence, 113–114 bounded functions, 142 implication of conditional bounded sets, 42–43 convergence, 114 absolute value, 7 Cantor function, 229–230 reverse triangle inequality, 9 Cantor set, 80–81, 133–134, 383 triangle inequality, 9 Casorati-Weierstrass theorem, 498–499 algebraic properties of Rk, 11–13 Cauchy completeness, 106–107 algebraic properties of continuity, 184 Cauchy condensation test, 117–119 algebraic properties of limits, 91–92 Cauchy integral theorem algebraic properties of series, 110–111 triangle lemma, see triangle lemma algebraic properties of the derivative, Cauchy principal value, 365–366 244 Cauchy sequences, 104–105 alternating series, 115 convergence of, 105–106 alternating series test, 115–116 Cauchy’s inequalities, 437 analytic functions, 481–482 Cauchy’s integral formula, 428–433 complex analytic functions, 483 converse of, 436–437 counterexamples, 482–483 extension to higher derivatives, 437 identity principle, 486 for simple closed contours, 432–433 zeros of, see zeros of complex analytic on circles, 429–430 functions on open connected sets, 430–432 antiderivatives, 361 on star-shaped sets, 429 for f :[a, b] Rp, 370 → Cauchy’s integral theorem, 420–422 of complex functions, 408 consequence, see deformation of on star-shaped sets, 411–413 contours path-independence, 408–409, 415 Cauchy-Riemann equations Archimedean property, 5–6 motivation, 297–300
    [Show full text]
  • Ch. 15 Power Series, Taylor Series
    Ch. 15 Power Series, Taylor Series 서울대학교 조선해양공학과 서유택 2017.12 ※ 본 강의 자료는 이규열, 장범선, 노명일 교수님께서 만드신 자료를 바탕으로 일부 편집한 것입니다. Seoul National 1 Univ. 15.1 Sequences (수열), Series (급수), Convergence Tests (수렴판정) Sequences: Obtained by assigning to each positive integer n a number zn z . Term: zn z1, z 2, or z 1, z 2 , or briefly zn N . Real sequence (실수열): Sequence whose terms are real Convergence . Convergent sequence (수렴수열): Sequence that has a limit c limznn c or simply z c n . For every ε > 0, we can find N such that Convergent complex sequence |zn c | for all n N → all terms zn with n > N lie in the open disk of radius ε and center c. Divergent sequence (발산수열): Sequence that does not converge. Seoul National 2 Univ. 15.1 Sequences, Series, Convergence Tests Convergence . Convergent sequence: Sequence that has a limit c Ex. 1 Convergent and Divergent Sequences iin 11 Sequence i , , , , is convergent with limit 0. n 2 3 4 limznn c or simply z c n Sequence i n i , 1, i, 1, is divergent. n Sequence {zn} with zn = (1 + i ) is divergent. Seoul National 3 Univ. 15.1 Sequences, Series, Convergence Tests Theorem 1 Sequences of the Real and the Imaginary Parts . A sequence z1, z2, z3, … of complex numbers zn = xn + iyn converges to c = a + ib . if and only if the sequence of the real parts x1, x2, … converges to a . and the sequence of the imaginary parts y1, y2, … converges to b. Ex.
    [Show full text]
  • Arxiv:1207.1472V2 [Math.CV]
    SOME SIMPLIFICATIONS IN THE PRESENTATIONS OF COMPLEX POWER SERIES AND UNORDERED SUMS OSWALDO RIO BRANCO DE OLIVEIRA Abstract. This text provides very easy and short proofs of some basic prop- erties of complex power series (addition, subtraction, multiplication, division, rearrangement, composition, differentiation, uniqueness, Taylor’s series, Prin- ciple of Identity, Principle of Isolated Zeros, and Binomial Series). This is done by simplifying the usual presentation of unordered sums of a (countable) family of complex numbers. All the proofs avoid formal power series, double series, iterated series, partial series, asymptotic arguments, complex integra- tion theory, and uniform continuity. The use of function continuity as well as epsilons and deltas is kept to a mininum. Mathematics Subject Classification: 30B10, 40B05, 40C15, 40-01, 97I30, 97I80 Key words and phrases: Power Series, Multiple Sequences, Series, Summability, Complex Analysis, Functions of a Complex Variable. Contents 1. Introduction 1 2. Preliminaries 2 3. Absolutely Convergent Series and Commutativity 3 4. Unordered Countable Sums and Commutativity 5 5. Unordered Countable Sums and Associativity. 9 6. Sum of a Double Sequence and The Cauchy Product 10 7. Power Series - Algebraic Properties 11 8. Power Series - Analytic Properties 14 References 17 arXiv:1207.1472v2 [math.CV] 27 Jul 2012 1. Introduction The objective of this work is to provide a simplification of the theory of un- ordered sums of a family of complex numbers (in particular, for a countable family of complex numbers) as well as very easy proofs of basic operations and properties concerning complex power series, such as addition, scalar multiplication, multipli- cation, division, rearrangement, composition, differentiation (see Apostol [2] and Vyborny [21]), Taylor’s formula, principle of isolated zeros, uniqueness, principle of identity, and binomial series.
    [Show full text]
  • Cauchy's Cours D'analyse
    SOURCES AND STUDIES IN THE HISTORY OF MATHEMATICS AND PHYSICAL SCIENCES Robert E. Bradley • C. Edward Sandifer Cauchy’s Cours d’analyse An Annotated Translation Cauchy’s Cours d’analyse An Annotated Translation For other titles published in this series, go to http://www.springer.com/series/4142 Sources and Studies in the History of Mathematics and Physical Sciences Editorial Board L. Berggren J.Z. Buchwald J. Lutzen¨ Robert E. Bradley, C. Edward Sandifer Cauchy’s Cours d’analyse An Annotated Translation 123 Robert E. Bradley C. Edward Sandifer Department of Mathematics and Department of Mathematics Computer Science Western Connecticut State University Adelphi University Danbury, CT 06810 Garden City USA NY 11530 [email protected] USA [email protected] Series Editor: J.Z. Buchwald Division of the Humanities and Social Sciences California Institute of Technology Pasadena, CA 91125 USA [email protected] ISBN 978-1-4419-0548-2 e-ISBN 978-1-4419-0549-9 DOI 10.1007/978-1-4419-0549-9 Springer Dordrecht Heidelberg London New York Library of Congress Control Number: 2009932254 Mathematics Subject Classification (2000): 01A55, 01A75, 00B50, 26-03, 30-03 c Springer Science+Business Media, LLC 2009 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden.
    [Show full text]
  • INFINITE SERIES in P-ADIC FIELDS
    INFINITE SERIES IN p-ADIC FIELDS KEITH CONRAD 1. Introduction One of the major topics in a course on real analysis is the representation of functions as power series X n anx ; n≥0 where the coefficients an are real numbers and the variable x belongs to R. In these notes we will develop the theory of power series over complete nonarchimedean fields. Let K be a field that is complete with respect to a nontrivial nonarchimedean absolute value j · j, such as Qp with its absolute value j · jp. We will look at power series over K (that is, with coefficients in K) and a variable x coming from K. Such series share some properties in common with real power series: (1) There is a radius of convergence R (a nonnegative real number, or 1), for which there is convergence at x 2 K when jxj < R and not when jxj > R. (2) A power series is uniformly continuous on each closed disc (of positive radius) where it converges. (3) A power series can be differentiated termwise in its disc of convergence. There are also some contrasts: (1) The convergence of a power series at its radius of convergence R does not exhibit mixed behavior: it is either convergent at all x with jxj = R or not convergent at P n all x with jxj = R, unlike n≥1 x =n on R, where R = 1 and there is convergence at x = −1 but not at x = 1. (2) A power series can be expanded around a new point in its disc of convergence and the new series has exactly the same disc of convergence as the original series.
    [Show full text]
  • Series: Convergence and Divergence Comparison Tests
    Series: Convergence and Divergence Here is a compilation of what we have done so far (up to the end of October) in terms of convergence and divergence. • Series that we know about: P∞ n Geometric Series: A geometric series is a series of the form n=0 ar . The series converges if |r| < 1 and 1 a1 diverges otherwise . If |r| < 1, the sum of the entire series is 1−r where a is the first term of the series and r is the common ratio. P∞ 1 2 p-Series Test: The series n=1 np converges if p1 and diverges otherwise . P∞ • Nth Term Test for Divergence: If limn→∞ an 6= 0, then the series n=1 an diverges. Note: If limn→∞ an = 0 we know nothing. It is possible that the series converges but it is possible that the series diverges. Comparison Tests: P∞ • Direct Comparison Test: If a series n=1 an has all positive terms, and all of its terms are eventually bigger than those in a series that is known to be divergent, then it is also divergent. The reverse is also true–if all the terms are eventually smaller than those of some convergent series, then the series is convergent. P P P That is, if an, bn and cn are all series with positive terms and an ≤ bn ≤ cn for all n sufficiently large, then P P if cn converges, then bn does as well P P if an diverges, then bn does as well. (This is a good test to use with rational functions.
    [Show full text]
  • SFS / M.Sc. (Mathematics with Computer Science)
    Mathematics Syllabi for Entrance Examination M.Sc. (Mathematics)/ M.Sc. (Mathematics) SFS / M.Sc. (Mathematics with Computer Science) Algebra.(5 Marks) Symmetric, Skew symmetric, Hermitian and skew Hermitian matrices. Elementary Operations on matrices. Rank of a matrices. Inverse of a matrix. Linear dependence and independence of rows and columns of matrices. Row rank and column rank of a matrix. Eigenvalues, eigenvectors and the characteristic equation of a matrix. Minimal polynomial of a matrix. Cayley Hamilton theorem and its use in finding the inverse of a matrix. Applications of matrices to a system of linear (both homogeneous and non–homogeneous) equations. Theoremson consistency of a system of linear equations. Unitary and Orthogonal Matrices, Bilinear and Quadratic forms. Relations between the roots and coefficients of general polynomial equation in one variable. Solutions of polynomial equations having conditions on roots. Common roots and multiple roots. Transformation of equations. Nature of the roots of an equation Descarte’s rule of signs. Solutions of cubic equations (Cardon’s method). Biquadratic equations and theirsolutions. Calculus.(5 Marks) Definition of the limit of a function. Basic properties of limits, Continuous functions and classification of discontinuities. Differentiability. Successive differentiation. Leibnitz theorem. Maclaurin and Taylor series expansions. Asymptotes in Cartesian coordinates, intersection of curve and its asymptotes, asymptotes in polar coordinates. Curvature, radius of curvature for Cartesian curves, parametric curves, polar curves. Newton’s method. Radius of curvature for pedal curves. Tangential polar equations. Centre of curvature. Circle of curvature. Chord of curvature, evolutes. Tests for concavity and convexity. Points of inflexion. Multiplepoints. Cusps, nodes & conjugate points. Type of cusps.
    [Show full text]
  • Divergent and Conditionally Convergent Series Whose Product Is Absolutely Convergent
    DIVERGENTAND CONDITIONALLY CONVERGENT SERIES WHOSEPRODUCT IS ABSOLUTELYCONVERGENT* BY FLORIAN CAJOKI § 1. Introduction. It has been shown by Abel that, if the product : 71—« I(¥» + V«-i + ■•• + M„«o)> 71=0 of two conditionally convergent series : 71—0 71— 0 is convergent, it converges to the product of their sums. Tests of the conver- gence of the product of conditionally convergent series have been worked out by A. Pringsheim,| A. Voss,J and myself.§ There exist certain conditionally- convergent series which yield a convergent result when they are raised to a cer- tain positive integral power, but which yield a divergent result when they are raised to a higher power. Thus, 71 = «3 Z(-l)"+13, 7>=i n where r = 7/9, is a conditionally convergent series whose fourth power is con- vergent, but whose fifth power is divergent. || These instances of conditionally * Presented to the Society April 28, 1900. Received for publication April 28, 1900. fMathematische Annalen, vol. 21 (1883), p. 327 ; vol. 2(5 (1886), p. 157. %Mathematische Annalen, vol. 24 (1884), p. 42. § American Journal of Mathematics, vol. 15 (1893), p. 339 ; vol. 18 (1896), p. 195 ; Bulletin of the American Mathematical Society, (2) vol. 1 (1895), p. 180. || This may be a convenient place to point out a slight and obvious extension of the results which I have published in the American Journal of Mathematics, vol. 18, p. 201. It was proved there that the conditionally convergent series : V(_l)M-lI (0<r5|>). Sí n when raised by Cauchy's multiplication rule to a positive integral power g , is convergent whenever (î — l)/ï <C r ! out the power of the series is divergent, if (q— 1 )¡q > r.
    [Show full text]
  • Dirichlet’S Test
    4. CONDITIONALLY CONVERGENT SERIES 23 4. Conditionally convergent series Here basic tests capable of detecting conditional convergence are studied. 4.1. Dirichlet’s test. Theorem 4.1. (Dirichlet’s test) n Let a complex sequence {An}, An = k=1 ak, be bounded, and the real sequence {bn} is decreasing monotonically, b1 ≥ b2 ≥ b3 ≥··· , so that P limn→∞ bn = 0. Then the series anbn converges. A proof is based on the identity:P m m m m−1 anbn = (An − An−1)bn = Anbn − Anbn+1 n=k n=k n=k n=k−1 X X X X m−1 = An(bn − bn+1)+ Akbk − Am−1bm n=k X Since {An} is bounded, there is a number M such that |An|≤ M for all n. Therefore it follows from the above identity and non-negativity and monotonicity of bn that m m−1 anbn ≤ An(bn − bn+1) + |Akbk| + |Am−1bm| n=k n=k X X m−1 ≤ M (bn − bn+1)+ bk + bm n=k ! X ≤ 2Mbk By the hypothesis, bk → 0 as k → ∞. Therefore the right side of the above inequality can be made arbitrary small for all sufficiently large k and m ≥ k. By the Cauchy criterion the series in question converges. This completes the proof. Example. By the root test, the series ∞ zn n n=1 X converges absolutely in the disk |z| < 1 in the complex plane. Let us investigate the convergence on the boundary of the disk. Put z = eiθ 24 1. THE THEORY OF CONVERGENCE ikθ so that ak = e and bn = 1/n → 0 monotonically as n →∞.
    [Show full text]
  • 1 Notes for Expansions/Series and Differential Equations in the Last
    Notes for Expansions/Series and Differential Equations In the last discussion, we considered perturbation methods for constructing solutions/roots of algebraic equations. Three types of problems were illustrated starting from the simplest: regular (straightforward) expansions, non-uniform expansions requiring modification to the process through inner and outer expansions, and singular perturbations. Before proceeding further, we first more clearly define the various types of expansions of functions of variables. 1. Convergent and Divergent Expansions/Series Consider a series, which is the sum of the terms of a sequence of numbers. Given a sequence {a1,a2,a3,a4,a5,....,an..} , the nth partial sum Sn is the sum of the first n terms of the sequence, that is, n Sn = ak . (1) k =1 A series is convergent if the sequence of its partial sums {S1,S2,S3,....,Sn..} converges. In a more formal language, a series converges if there exists a limit such that for any arbitrarily small positive number ε>0, there is a large integer N such that for all n ≥ N , ^ Sn − ≤ ε . (2) A sequence that is not convergent is said to be divergent. Examples of convergent and divergent series: • The reciprocals of powers of 2 produce a convergent series: 1 1 1 1 1 1 + + + + + + ......... = 2 . (3) 1 2 4 8 16 32 • The reciprocals of positive integers produce a divergent series: 1 1 1 1 1 1 + + + + + + ......... (4) 1 2 3 4 5 6 • Alternating the signs of the reciprocals of positive integers produces a convergent series: 1 1 1 1 1 1 − + − + − + ......... = ln 2 .
    [Show full text]
  • Chapter 3: Infinite Series
    Chapter 3: Infinite series Introduction Definition: Let (an : n ∈ N) be a sequence. For each n ∈ N, we define the nth partial sum of (an : n ∈ N) to be: sn := a1 + a2 + . an. By the series generated by (an : n ∈ N) we mean the sequence (sn : n ∈ N) of partial sums of (an : n ∈ N) (ie: a series is a sequence). We say that the series (sn : n ∈ N) generated by a sequence (an : n ∈ N) is convergent if the sequence (sn : n ∈ N) of partial sums converges. If the series (sn : n ∈ N) is convergent then we call its limit the sum of the series and we write: P∞ lim sn = an. In detail: n→∞ n=1 s1 = a1 s2 = a1 + a + 2 = s1 + a2 s3 = a + 1 + a + 2 + a3 = s2 + a3 ... = ... sn = a + 1 + ... + an = sn−1 + an. Definition: A series that is not convergent is called divergent, ie: each series is ei- P∞ ther convergent or divergent. It has become traditional to use the notation n=1 an to represent both the series (sn : n ∈ N) generated by the sequence (an : n ∈ N) and the sum limn→∞ sn. However, this ambiguity in the notation should not lead to any confu- sion, provided that it is always made clear that the convergence of the series must be established. Important: Although traditionally series have been (and still are) represented by expres- P∞ sions such as n=1 an they are, technically, sequences of partial sums. So if somebody comes up to you in a supermarket and asks you what a series is - you answer “it is a P∞ sequence of partial sums” not “it is an expression of the form: n=1 an.” n−1 Example: (1) For 0 < r < ∞, we may define the sequence (an : n ∈ N) by, an := r for each n ∈ N.
    [Show full text]
  • Approximating the Sum of a Convergent Series
    Approximating the Sum of a Convergent Series Larry Riddle Agnes Scott College Decatur, GA 30030 [email protected] The BC Calculus Course Description mentions how technology can be used to explore conver- gence and divergence of series, and lists various tests for convergence and divergence as topics to be covered. But no specific mention is made of actually estimating the sum of a series, and the only discussion of error bounds is for alternating series and the Lagrange error bound for Taylor polynomials. With just a little additional effort, however, students can easily approximate the sum of many common convergent series and determine how precise that approximation will be. Approximating the Sum of a Positive Series Here are two methods for estimating the sum of a positive series whose convergence has been established by the integral test or the ratio test. Some fairly weak additional requirements are made on the terms of the series. Proofs are given in the appendix. ∞ n P P Let S = an and let the nth partial sum be Sn = ak. n=1 k=1 1. Suppose an = f(n) where the graph of f is positive, decreasing, and concave up, and the R ∞ improper integral 1 f(x) dx converges. Then Z ∞ Z ∞ an+1 an+1 Sn + f(x) dx + < S < Sn + f(x) dx − . (1) n+1 2 n 2 (If the conditions for f only hold for x ≥ N, then inequality (1) would be valid for n ≥ N.) an+1 2. Suppose (an) is a positive decreasing sequence and lim = L < 1.
    [Show full text]