Lecture 28 :Absolute Convergence, Ratio and Root Test Conditional Convergence

Total Page:16

File Type:pdf, Size:1020Kb

Lecture 28 :Absolute Convergence, Ratio and Root Test Conditional Convergence Absolute convergence P Definition A series an is called absolutely convergent if the series of P absolute values janj is convergent. If the terms of the series an are positive, absolute convergence is the same as convergence. Example Are the following series absolutely convergent? 1 1 X (−1)n+1 X (−1)n ; : n3 n n=1 n=1 P1 (−1)n+1 I To check if the series n=1 n3 is absolutely convergent, we need to P1 1 check if the series of absolute values n=1 n3 is convergent. P1 1 I Since n=1 n3 is a p-series with p = 3 > 1, it converges and therefore P1 (−1)n+1 n=1 n3 is absolutely convergent. P1 (−1)n I To check if the series n=1 n is absolutely convergent, we need to P1 1 check if the series of absolute values n=1 n is convergent. P1 1 I Since n=1 n is a p-series with p = 1, it diverges and therefore P1 (−1)n n=1 n is not absolutely convergent. Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test Conditional convergence P Definition A series an is called conditionally convergent if the series is convergent but not absolutely convergent. Which of the series in the above example is conditionally convergent? P1 (−1)n+1 I Since the series n=1 n3 is absolutely convergent, it is not conditionally convergent. P1 (−1)n I Since the series n=1 n is convergent (used the alternating series test P1 1 last day to show this), but the series of absolute values n=1 n is not P1 (−1)n convergent, the series n=1 n is conditionally convergent. Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test Absolute conv. implies conv. Theorem If a series is absolutely convergent, then it is convergent, that is P P if janj is convergent, then an is convergent. (A proof is given in your notes) Example Are the following series convergent (test for absolute convergence) 1 1 X (−1)n+1 X sin(n) ; : n3 n4 n=1 n=1 P1 (−1)n+1 I Since n=1 n3 is absolutely convergent, we can conclude that this series is convergent. P1 sin(n) I To check if the series 4 is absolutely convergent, we consider the n=1 n ˛ ˛ series of absolute values P1 ˛ sin(n) ˛. n=1 ˛ n4 ˛ ˛ ˛ Since 0 ≤ j sin(n)j ≤ 1, we have 0 ≤ ˛ sin(n) ˛ ≤ 1 . I ˛ n4 ˛ n4 ˛ ˛ Therefore the series P1 ˛ sin(n) ˛ converges by comparison with the I n=1 ˛ n4 ˛ P1 1 converging p-series n=1 n4 . P1 sin(n) I Therefore the series n=1 n4 is convergent since it is absolutely convergent. Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test The Ratio Test This test is useful for determining absolute convergence. P1 Let an be a series (the terms may be positive or negative). n=1 ˛ ˛ an+1 Let L = limn!1 ˛ ˛. ˛ an ˛ P1 I If L < 1, then the series n=1 an converges absolutely (and hence is convergent). P1 I If L > 1 or 1, then the series n=1 an is divergent. I If L = 1, then the Ratio test is inconclusive and we cannot determine if the series converges or diverges using this test. This test is especially useful where factorials and powers of a constant appear in terms of a series. (Note that when the ratio test is inconclusive for an alternating series, the alternating series test may work. ) Example 1 Test the following series for convergence 1 n X n−1 2 (−1) n! n=1 ˛ ˛ ˛ n+1‹ ˛ an+1 2 (n+1)! 2 I limn!1 ˛ ˛ = limn!1 ˛ ‹ ˛ = limn!1 = 0 < 1. ˛ an ˛ ˛ 2n n! ˛ n+1 I Therefore, the series converges. Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test Example 2 P1 Ratio Test Let an be a series (the terms may be positive or negative). ˛ n=1˛ an+1 Let L = limn!1 ˛ ˛. ˛ an ˛ P1 If L < 1, then the series n=1 an converges absolutely. P1 If L > 1 or 1, then the series n=1 an is divergent. If L = 1, then the Ratio test is inconclusive. Example 2 Test the following series for convergence 1 X n“ n ” (−1) 5n n=1 ˛ ˛ ˛ ‹ n+1 ˛ an+1 (n+1) 5 n+1 I limn!1 ˛ ˛ = limn!1 ˛ ‹ ˛ = limn!1 = ˛ an ˛ ˛ n 5n ˛ 5n 1 1 5 limn!1(1 + 1=n) = 5 < 1. I Therefore, the series converges. Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test Example 3 P1 nn Example 3 Test the following series for convergence n=1 n! ‹ ˛ ˛ ˛ (n+1)n+1 (n+1)! ˛ n ˛ an+1 ˛ ˛ ˛ (n+1)(n+1) n! I limn!1 = limn!1 ‹ = limn!1 · n = ˛ an ˛ ˛ nn n! ˛ (n+1)n! n n n x “ n+1 ” “ 1 ” “ 1 ” limn!1 n = limn!1 1 + n = limx!1 1 + x . “ ”x 1 x ln(1+1=x) limx!1 x ln(1+1=x) I limx!1 1 + x = limx!1 e = e . −1=x2 ln(1+1=x) 0 (1+1=x) limx!1 x ln(1 + 1=x) = limx!1 1=x =( L Hop) limx!1 −1=x2 = 1 limx!1 (1+1=x) = 1: ˛ ˛ x an+1 “ 1 ” 1 I Therefore limn!1 ˛ ˛ = limx!1 1 + = e = e > 1 and the series ˛ an ˛ x P1 nn n=1 n! diverges. Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test Example 4 P1 (−1)n Example 4 Test the following series for convergence n=1 n2 I We know already that this series converges absolutely and therefore it converges. (we could also use the alternating series test to deduce this). I Lets see what happens when we apply the ratio test here. ˛ ˛ ˛ ‹ 2 ˛ 2 an+1 1 (n+1) “ n ” I limn!1 ˛ ˛ = limn!1 ˛ ‹ ˛ = limn!1 = ˛ an ˛ ˛ 1 n2 ˛ n+1 2 “ 1 ” limn!1 1+1=n = 1: I Therefore the ratio test is inconclusive here. Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test The Root Test P1 Root Test Let n=1 an be a series (the terms may be positive or negative). pn P1 I If limn!1 janj = L < 1, then the series n=1 an converges absolutely (and hence is convergent). pn pn P1 I If limn!1 janj = L > 1 or limn!1 janj = 1, then the series n=1 an is divergent. pn I If limn!1 janj = 1, then the Root test is inconclusive and we cannot determine if the series converges or diverges using this test. n P1 n−1“ 2n ” Example 5 Test the following series for convergence n=1(−1) n+1 r n pn n “ 2n ” 2n 2 I limn!1 janj = limn!1 n+1 = limn!1 n+1 = limn!1 1+1=n = 2 > 1 n P1 n−1“ 2n ” I Therefore by the n th root test, the series n=1(−1) n+1 diverges. Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test Example 6 P1 pn Root Test For n=1 an. L = limn!1 janj. P1 If L < 1, then the series n=1 an converges absolutely. P1 If L > 1 or 1, then the series n=1 an is divergent. If L = 1, then the Root test is inconclusive. n P1 “ n ” Example 6 Test the following series for convergence n=1 2n+1 r n pn n “ n ” n 1 I limn!1 janj = limn!1 2n+1 = limn!1 2n+1 = limn!1 2+1=n = 1=2 < 1 n P1 “ n ” I Therefore by the n th root test, the series n=1 2n+1 converges. Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test Example 7 P1 pn Root Test For n=1 an. L = limn!1 janj. P1 If L < 1, then the series n=1 an converges absolutely. P1 If L > 1 or 1, then the series n=1 an is divergent. If L = 1, then the Root test is inconclusive. n P1 “ ln n ” Example 7 Test the following series for convergence n=1 n : r n pn n “ ln n ” ln n ln x I limn!1 janj = limn!1 n = limn!1 n = limx!1 x = 0 1=x (L Hop) limx!1 1 = 0 < 1 n P1 “ ln n ” I Therefore by the n th root test, the series n=1 n converges. Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test Rearranging sums If we rearrange the terms in a finite sum, the sum remains the same. This is not always the case for infinite sums (infinite series). It can be shown that: P P I If a series an is an absolutely convergent series with an = s, then any P rearrangement of an is convergent with sum s. P I It a series an is a conditionally convergent series, then for any real P number r, there is a rearrangement of an which has sum r. P1 (−1)n I Example The series n=1 2n is absolutely convergent with P1 (−1)n 2 2 n=1 2n = 3 and hence any rearrangement of the terms has sum 3 . Annette Pilkington Lecture 28 :Absolute Convergence, Ratio and root test Rearranging sums P I It a series an is a conditionally convergent series, then for any real P number r, there is a rearrangement of an which has sum r. P1 (−1)n−1 I Example Alternating Harmonic series n=1 n is conditionally convergent, it can be shown that its sum is ln 2, 1 1 1 1 1 1 1 1 1 1 − + − + − + − + − · · · + (−1)n + ··· = ln 2: 2 3 4 5 6 7 8 9 n I Now we rearrange the terms taking the positive terms in blocks of one followed by negative terms in blocks of 2 1 1 1 1 1 1 1 1 1 1 − − + − − + − − + ··· = 2 4 3 6 8 5 10 12 7 “ 1 ” 1 “ 1 1 ” 1 “ 1 1 ” 1 “ 1 1 ” 1 − − + − − + − − + − − · · · = 2 4 3 6 8 5 10 12 7 14 I 1 “ 1 1 1 1 1 1 1 1 1 1 1 − + − + − + − + − · · · + (−1)n + ::: ) = ln 2: 2 2 3 4 5 6 7 8 9 n 2 I Obviously, we could continue in this way to get the series to sum to any number of the form (ln 2)=2n.
Recommended publications
  • Riemann Sums Fundamental Theorem of Calculus Indefinite
    Riemann Sums Partition P = {x0, x1, . , xn} of an interval [a, b]. ck ∈ [xk−1, xk] Pn R(f, P, a, b) = k=1 f(ck)∆xk As the widths ∆xk of the subintervals approach 0, the Riemann Sums hopefully approach a limit, the integral of f from a to b, written R b a f(x) dx. Fundamental Theorem of Calculus Theorem 1 (FTC-Part I). If f is continuous on [a, b], then F (x) = R x 0 a f(t) dt is defined on [a, b] and F (x) = f(x). Theorem 2 (FTC-Part II). If f is continuous on [a, b] and F (x) = R R b b f(x) dx on [a, b], then a f(x) dx = F (x) a = F (b) − F (a). Indefinite Integrals Indefinite Integral: R f(x) dx = F (x) if and only if F 0(x) = f(x). In other words, the terms indefinite integral and antiderivative are synonymous. Every differentiation formula yields an integration formula. Substitution Rule For Indefinite Integrals: If u = g(x), then R f(g(x))g0(x) dx = R f(u) du. For Definite Integrals: R b 0 R g(b) If u = g(x), then a f(g(x))g (x) dx = g(a) f( u) du. Steps in Mechanically Applying the Substitution Rule Note: The variables do not have to be called x and u. (1) Choose a substitution u = g(x). du (2) Calculate = g0(x). dx du (3) Treat as if it were a fraction, a quotient of differentials, and dx du solve for dx, obtaining dx = .
    [Show full text]
  • 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]
  • The Radius of Convergence of the Lam\'{E} Function
    The radius of convergence of the Lame´ function Yoon-Seok Choun Department of Physics, Hanyang University, Seoul, 133-791, South Korea Abstract We consider the radius of convergence of a Lame´ function, and we show why Poincare-Perron´ theorem is not applicable to the Lame´ equation. Keywords: Lame´ equation; 3-term recursive relation; Poincare-Perron´ theorem 2000 MSC: 33E05, 33E10, 34A25, 34A30 1. Introduction A sphere is a geometric perfect shape, a collection of points that are all at the same distance from the center in the three-dimensional space. In contrast, the ellipsoid is an imperfect shape, and all of the plane sections are elliptical or circular surfaces. The set of points is no longer the same distance from the center of the ellipsoid. As we all know, the nature is nonlinear and geometrically imperfect. For simplicity, we usually linearize such systems to take a step toward the future with good numerical approximation. Indeed, many geometric spherical objects are not perfectly spherical in nature. The shape of those objects are better interpreted by the ellipsoid because they rotates themselves. For instance, ellipsoidal harmonics are shown in the calculation of gravitational potential [11]. But generally spherical harmonics are preferable to mathematically complex ellipsoid harmonics. Lame´ functions (ellipsoidal harmonic fuctions) [7] are applicable to diverse areas such as boundary value problems in ellipsoidal geometry, Schrodinger¨ equations for various periodic and anharmonic potentials, the theory of Bose-Einstein condensates, group theory to quantum mechanical bound states and band structures of the Lame´ Hamiltonian, etc. As we apply a power series into the Lame´ equation in the algebraic form or Weierstrass’s form, the 3-term recurrence relation starts to arise and currently, there are no general analytic solutions in closed forms for the 3-term recursive relation of a series solution because of their mathematical complexity [1, 5, 13].
    [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]
  • Topic 7 Notes 7 Taylor and Laurent Series
    Topic 7 Notes Jeremy Orloff 7 Taylor and Laurent series 7.1 Introduction We originally defined an analytic function as one where the derivative, defined as a limit of ratios, existed. We went on to prove Cauchy's theorem and Cauchy's integral formula. These revealed some deep properties of analytic functions, e.g. the existence of derivatives of all orders. Our goal in this topic is to express analytic functions as infinite power series. This will lead us to Taylor series. When a complex function has an isolated singularity at a point we will replace Taylor series by Laurent series. Not surprisingly we will derive these series from Cauchy's integral formula. Although we come to power series representations after exploring other properties of analytic functions, they will be one of our main tools in understanding and computing with analytic functions. 7.2 Geometric series Having a detailed understanding of geometric series will enable us to use Cauchy's integral formula to understand power series representations of analytic functions. We start with the definition: Definition. A finite geometric series has one of the following (all equivalent) forms. 2 3 n Sn = a(1 + r + r + r + ::: + r ) = a + ar + ar2 + ar3 + ::: + arn n X = arj j=0 n X = a rj j=0 The number r is called the ratio of the geometric series because it is the ratio of consecutive terms of the series. Theorem. The sum of a finite geometric series is given by a(1 − rn+1) S = a(1 + r + r2 + r3 + ::: + rn) = : (1) n 1 − r Proof.
    [Show full text]
  • Absolute and Conditional Convergence, and Talk a Little Bit About the Mathematical Constant E
    MATH 8, SECTION 1, WEEK 3 - RECITATION NOTES TA: PADRAIC BARTLETT Abstract. These are the notes from Friday, Oct. 15th's lecture. In this talk, we study absolute and conditional convergence, and talk a little bit about the mathematical constant e. 1. Random Question Question 1.1. Suppose that fnkg is the sequence consisting of all natural numbers that don't have a 9 anywhere in their digits. Does the corresponding series 1 X 1 nk k=1 converge? 2. Absolute and Conditional Convergence: Definitions and Theorems For review's sake, we repeat the definitions of absolute and conditional conver- gence here: P1 P1 Definition 2.1. A series n=1 an converges absolutely iff the series n=1 janj P1 converges; it converges conditionally iff the series n=1 an converges but the P1 series of absolute values n=1 janj diverges. P1 (−1)n+1 Example 2.2. The alternating harmonic series n=1 n converges condition- ally. This follows from our work in earlier classes, where we proved that the series itself converged (by looking at partial sums;) conversely, the absolute values of this series is just the harmonic series, which we know to diverge. As we saw in class last time, most of our theorems aren't set up to deal with series whose terms alternate in sign, or even that have terms that occasionally switch sign. As a result, we developed the following pair of theorems to help us manipulate series with positive and negative terms: 1 Theorem 2.3. (Alternating Series Test / Leibniz's Theorem) If fangn=0 is a se- quence of positive numbers that monotonically decreases to 0, the series 1 X n (−1) an n=1 converges.
    [Show full text]
  • 11.3-11.4 Integral and Comparison Tests
    11.3-11.4 Integral and Comparison Tests The Integral Test: Suppose a function f(x) is continuous, positive, and decreasing on [1; 1). Let an 1 P R 1 be defined by an = f(n). Then, the series an and the improper integral 1 f(x) dx either BOTH n=1 CONVERGE OR BOTH DIVERGE. Notes: • For the integral test, when we say that f must be decreasing, it is actually enough that f is EVENTUALLY ALWAYS DECREASING. In other words, as long as f is always decreasing after a certain point, the \decreasing" requirement is satisfied. • If the improper integral converges to a value A, this does NOT mean the sum of the series is A. Why? The integral of a function will give us all the area under a continuous curve, while the series is a sum of distinct, separate terms. • The index and interval do not always need to start with 1. Examples: Determine whether the following series converge or diverge. 1 n2 • X n2 + 9 n=1 1 2 • X n2 + 9 n=3 1 1 n • X n2 + 1 n=1 1 ln n • X n n=2 Z 1 1 p-series: We saw in Section 8.9 that the integral p dx converges if p > 1 and diverges if p ≤ 1. So, by 1 x 1 1 the Integral Test, the p-series X converges if p > 1 and diverges if p ≤ 1. np n=1 Notes: 1 1 • When p = 1, the series X is called the harmonic series. n n=1 • Any constant multiple of a convergent p-series is also convergent.
    [Show full text]
  • 3.3 Convergence Tests for Infinite Series
    3.3 Convergence Tests for Infinite Series 3.3.1 The integral test We may plot the sequence an in the Cartesian plane, with independent variable n and dependent variable a: n X The sum an can then be represented geometrically as the area of a collection of rectangles with n=1 height an and width 1. This geometric viewpoint suggests that we compare this sum to an integral. If an can be represented as a continuous function of n, for real numbers n, not just integers, and if the m X sequence an is decreasing, then an looks a bit like area under the curve a = a(n). n=1 In particular, m m+2 X Z m+1 X an > an dn > an n=1 n=1 n=2 For example, let us examine the first 10 terms of the harmonic series 10 X 1 1 1 1 1 1 1 1 1 1 = 1 + + + + + + + + + : n 2 3 4 5 6 7 8 9 10 1 1 1 If we draw the curve y = x (or a = n ) we see that 10 11 10 X 1 Z 11 dx X 1 X 1 1 > > = − 1 + : n x n n 11 1 1 2 1 (See Figure 1, copied from Wikipedia) Z 11 dx Now = ln(11) − ln(1) = ln(11) so 1 x 10 X 1 1 1 1 1 1 1 1 1 1 = 1 + + + + + + + + + > ln(11) n 2 3 4 5 6 7 8 9 10 1 and 1 1 1 1 1 1 1 1 1 1 1 + + + + + + + + + < ln(11) + (1 − ): 2 3 4 5 6 7 8 9 10 11 Z dx So we may bound our series, above and below, with some version of the integral : x If we allow the sum to turn into an infinite series, we turn the integral into an improper integral.
    [Show full text]
  • The Binomial Series 16.3   
    The Binomial Series 16.3 Introduction In this Section we examine an important example of an infinite series, the binomial series: p(p − 1) p(p − 1)(p − 2) 1 + px + x2 + x3 + ··· 2! 3! We show that this series is only convergent if |x| < 1 and that in this case the series sums to the value (1 + x)p. As a special case of the binomial series we consider the situation when p is a positive integer n. In this case the infinite series reduces to a finite series and we obtain, by replacing x with b , the binomial theorem: a n(n − 1) (b + a)n = bn + nbn−1a + bn−2a2 + ··· + an. 2! Finally, we use the binomial series to obtain various polynomial expressions for (1 + x)p when x is ‘small’. ' • understand the factorial notation $ Prerequisites • have knowledge of the ratio test for convergence of infinite series. Before starting this Section you should ... • understand the use of inequalities '& • recognise and use the binomial series $% Learning Outcomes • state and use the binomial theorem On completion you should be able to ... • use the binomial series to obtain numerical approximations & % 26 HELM (2008): Workbook 16: Sequences and Series ® 1. The binomial series A very important infinite series which occurs often in applications and in algebra has the form: p(p − 1) p(p − 1)(p − 2) 1 + px + x2 + x3 + ··· 2! 3! in which p is a given number and x is a variable. By using the ratio test it can be shown that this series converges, irrespective of the value of p, as long as |x| < 1.
    [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]
  • 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]
  • 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]