Alternating Series Test - Calculus 2

  1. If the Alternating Series Test is used to establish the convergence of ∑n=1∞(−1)n+1n\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n}, what is the minimum number of terms required to approximate the sum with an error less than 0.01?
    Answer: 99 The Alternating Series Estimation Theorem states that the error of the Nth partial sum, ∣S−SN∣|S - S_N|, is less than or equal to the magnitude of the first neglected term, bN+1b_{N+1}. We want ∣S−SN∣<0.01|S - S_N| < 0.01. We need to find NN such that bN+1<0.01b_{N+1} < 0.01. Here, bn=1/nb_n = 1/n, so we need bN+1=1N+1<0.01=1100b_{N+1} = \frac{1}{N+1} < 0.01 = \frac{1}{100}. This inequality becomes N+1>100N+1 > 100, which means N>99N > 99. The smallest integer value for NN is 100, but the question asks for the minimum number of terms in the sum, which is NN. To ensure the error is less than bN+1b_{N+1}, we need to sum up to the NNth term. If we sum N=99N=99 terms, the error is less than b100=1/100=0.01b_{100} = 1/100 = 0.01. So, 99 terms are required.
  2. Let bnb_n be a positive, decreasing sequence with limit 0. The sum of the series S=∑n=1∞(−1)n+1bnS = \sum_{n=1}^{\infty} (-1)^{n+1}b_n is approximated by the second partial sum, S2=b1−b2S_2 = b_1 - b_2. Which of the following must be true about the true sum SS?
    Answer: b1−b2<S<b1b_1 - b_2 < S < b_1 The series converges by the AST. The sequence of partial sums oscillates around the true sum SS. The first term is b1b_1, so the first partial sum is S1=b1S_1 = b_1. The second term is −b2-b_2, so S2=b1−b2S_2 = b_1 - b_2. Since the terms are decreasing, b1−b2>0b_1 - b_2 > 0. The odd partial sums are overestimates and the even partial sums are underestimates. Therefore, S2<S<S1S_2 < S < S_1. Substituting the values for the partial sums gives b1−b2<S<b1b_1 - b_2 < S < b_1.
  3. Which statement correctly describes the series ∑n=2∞(−1)nln⁡(n2)n\sum_{n=2}^{\infty} (-1)^n \frac{\ln(n^2)}{n}?
    Answer: The series converges conditionally. The series can be written as ∑n=2∞(−1)n2ln⁡nn\sum_{n=2}^{\infty} (-1)^n \frac{2\ln n}{n}. Let bn=2ln⁡nnb_n = \frac{2\ln n}{n}. Using L'Hôpital's Rule, lim⁡n→∞bn=lim⁡n→∞2/n1=0\lim_{n\to\infty} b_n = \lim_{n\to\infty} \frac{2/n}{1} = 0. To check if bnb_n is decreasing, consider the function f(x)=2ln⁡xxf(x) = \frac{2\ln x}{x}. Its derivative is f′(x)=2(1−ln⁡x)x2f'(x) = \frac{2(1-\ln x)}{x^2}, which is negative for x>ex > e. Thus, the terms are eventually decreasing. By the AST, the series converges. For absolute convergence, we examine ∑2ln⁡nn\sum \frac{2\ln n}{n}. Since ln⁡n>1\ln n > 1 for n>en > e, we have 2ln⁡nn>2n\frac{2\ln n}{n} > \frac{2}{n}. Since ∑2n\sum \frac{2}{n} diverges, ∑2ln⁡nn\sum \frac{2\ln n}{n} diverges by comparison. Therefore, the series converges conditionally.
  4. The series ∑n=2∞(−1)n1ln⁡(n)\sum_{n=2}^{\infty} (-1)^n \frac{1}{\ln(n)} is being analyzed for convergence. What can be concluded?
    Answer: The series converges conditionally by the Alternating Series Test since 1ln⁡(n)\frac{1}{\ln(n)} decreases to 0 The Alternating Series Test applies here: (1) lim⁡n→∞1ln⁡(n)=0\lim_{n \to \infty} \frac{1}{\ln(n)} = 0, and (2) 1ln⁡(n)\frac{1}{\ln(n)} is decreasing since ln⁡(n)\ln(n) is increasing. However, ∑n=2∞1ln⁡(n)\sum_{n=2}^{\infty} \frac{1}{\ln(n)} diverges by the integral test (∫2∞1ln⁡(x)dx\int_2^{\infty} \frac{1}{\ln(x)} dx diverges), so the convergence is conditional. Choice B incorrectly concludes the alternating series diverges. Choice C wrongly claims absolute convergence. Choice D misapplies the divergence test - having limit 0 doesn't cause divergence.
  5. Consider the series ∑n=1∞(−1)n(n+1−n)\sum_{n=1}^{\infty} (-1)^n (\sqrt{n+1} - \sqrt{n}). What is the behavior of this series?
    Answer: Converges conditionally. Let bn=n+1−nb_n = \sqrt{n+1} - \sqrt{n}. We can rationalize this expression: bn=(n+1−n)n+1+nn+1+n=n+1−nn+1+n=1n+1+nb_n = (\sqrt{n+1} - \sqrt{n}) \frac{\sqrt{n+1} + \sqrt{n}}{\sqrt{n+1} + \sqrt{n}} = \frac{n+1-n}{\sqrt{n+1} + \sqrt{n}} = \frac{1}{\sqrt{n+1} + \sqrt{n}}. The sequence {bn}\{b_n\} is positive, decreasing, and lim⁡n→∞bn=0\lim_{n\to\infty} b_n = 0. By the AST, the series converges. To test for absolute convergence, we examine ∑bn=∑1n+1+n\sum b_n = \sum \frac{1}{\sqrt{n+1} + \sqrt{n}}. We can use the Limit Comparison Test with the divergent p-series ∑1n\sum \frac{1}{\sqrt{n}}. The limit of the ratio of terms is 1/21/2. Since the p-series diverges, ∑bn\sum b_n also diverges. Thus, the series converges conditionally.
  6. Consider the series ∑n=1∞(−1)nn+1−nn\sum_{n=1}^{\infty} (-1)^n \frac{\sqrt{n+1} - \sqrt{n}}{n}. To determine convergence using the Alternating Series Test, what must be verified?
    Answer: That lim⁡n→∞n+1−nn=0\lim_{n \to \infty} \frac{\sqrt{n+1} - \sqrt{n}}{n} = 0 and the sequence is eventually decreasing, both of which hold First, simplify: n+1−n=(n+1−n)(n+1+n)n+1+n=1n+1+n\sqrt{n+1} - \sqrt{n} = \frac{(\sqrt{n+1} - \sqrt{n})(\sqrt{n+1} + \sqrt{n})}{\sqrt{n+1} + \sqrt{n}} = \frac{1}{\sqrt{n+1} + \sqrt{n}}. So the general term is 1n(n+1+n)∼12n3/2\frac{1}{n(\sqrt{n+1} + \sqrt{n})} \sim \frac{1}{2n^{3/2}}. For the Alternating Series Test: (1) lim⁡n→∞1n(n+1+n)=0\lim_{n \to \infty} \frac{1}{n(\sqrt{n+1} + \sqrt{n})} = 0, and (2) this sequence is decreasing. Both conditions hold, so the series converges. Choice B doesn't verify the decreasing condition properly. Choice C discusses absolute convergence but doesn't address the Alternating Series Test. Choice D gives the right simplification but doesn't complete the AST verification.
  7. The series ∑n=1∞(−1)n+1n4\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n^4} converges to a sum SS. If SS is approximated by the 4th partial sum, S4S_4, the Alternating Series Estimation Theorem states that the absolute error ∣S−S4∣|S - S_4| is bounded by what value?
    Answer: The magnitude of the 5th term, 1/6251/625. The Alternating Series Estimation Theorem states that for a convergent alternating series satisfying its conditions, the absolute error in approximating the total sum SS by the Nth partial sum SNS_N is less than or equal to the magnitude of the first neglected term, bN+1b_{N+1}. In this case, N=4N=4 and bn=1/n4b_n = 1/n^4. The error bound is ∣S−S4∣≤b4+1=b5=1/54=1/625|S - S_4| \le b_{4+1} = b_5 = 1/5^4 = 1/625.
  8. Given that bn>0b_n > 0, lim⁡n→∞bn=0\lim_{n\to\infty} b_n = 0, and the series ∑n=1∞(−1)nbn\sum_{n=1}^\infty (-1)^n b_n diverges. What must be true about the sequence {bn}\{b_n\}?
    Answer: The sequence {bn}\{b_n\} is not eventually monotonically decreasing. The Alternating Series Test has two conditions for convergence: (1) lim⁡n→∞bn=0\lim_{n\to\infty} b_n = 0 and (2) {bn}\{b_n\} is eventually decreasing. The problem states that condition (1) is met, but the series still diverges. This implies that the AST is not satisfied, so condition (2) must fail. Therefore, the sequence {bn}\{b_n\} cannot be eventually monotonically decreasing.
  9. Which of the following alternating series diverges?
    Answer: ∑n=1∞(−1)nn+12n+1\sum_{n=1}^{\infty} (-1)^n \frac{n+1}{2n+1} When you encounter questions about alternating series convergence, your primary tool is the Alternating Series Test (Leibniz criterion). This test states that an alternating series ∑(−1)nan\sum (-1)^n a_n converges if: (1) the terms ana_n are decreasing, and (2) lim⁡n→∞an=0\lim_{n \to \infty} a_n = 0. However, if the limit condition fails, the series diverges by the Divergence Test. Let's examine each series by checking whether the terms approach zero: For choice A: ∑n=1∞(−1)nn+12n+1\sum_{n=1}^{\infty} (-1)^n \frac{n+1}{2n+1}, we have lim⁡n→∞n+12n+1=lim⁡n→∞1+1/n2+1/n=12≠0\lim_{n \to \infty} \frac{n+1}{2n+1} = \lim_{n \to \infty} \frac{1 + 1/n}{2 + 1/n} = \frac{1}{2} \neq 0. Since the terms don't approach zero, this series diverges by the Divergence Test. Choice B: ∑n=1∞(−1)n+1ln⁡(n+1)\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{\ln(n+1)} has terms 1ln⁡(n+1)→0\frac{1}{\ln(n+1)} \to 0 as n→∞n \to \infty, and these terms are decreasing for large nn. This converges by the Alternating Series Test. Choice C: ∑n=1∞(−1)ne−n\sum_{n=1}^{\infty} (-1)^n e^{-n} has terms e−n→0e^{-n} \to 0 rapidly, and they're clearly decreasing. This converges. Choice D: ∑n=1∞sin⁡((n+1/2)π)n\sum_{n=1}^{\infty} \frac{\sin((n+1/2)\pi)}{n} can be rewritten as ∑n=1∞(−1)nn\sum_{n=1}^{\infty} \frac{(-1)^n}{n}, which is the alternating harmonic series. Since 1n→0\frac{1}{n} \to 0 and the terms decrease, this converges. Therefore, A is the only divergent series. Study tip: Always check the limit of terms first—if they don't approach zero, the series diverges immediately, regardless of the alternating pattern.
  10. Consider the series ∑n=1∞(−1)n+1arctan⁡(n)n3/2\sum_{n=1}^{\infty} (-1)^{n+1} \frac{\arctan(n)}{n^{3/2}}. Which conclusion about this series is justified?
    Answer: The series converges absolutely since arctan⁡(n)<π2\arctan(n) < \frac{\pi}{2} and ∑n=1∞1n3/2\sum_{n=1}^{\infty} \frac{1}{n^{3/2}} converges Since arctan⁡(n)<π2\arctan(n) < \frac{\pi}{2} for all n, we have arctan⁡(n)n3/2<π/2n3/2\frac{\arctan(n)}{n^{3/2}} < \frac{\pi/2}{n^{3/2}}. Since ∑n=1∞1n3/2\sum_{n=1}^{\infty} \frac{1}{n^{3/2}} converges (p-series with p = 3/2 > 1), the series ∑n=1∞arctan⁡(n)n3/2\sum_{n=1}^{\infty} \frac{\arctan(n)}{n^{3/2}} converges by direct comparison. Therefore, the alternating series converges absolutely. Choice A is wrong because limit comparison with ∑1n1/2\sum \frac{1}{n^{1/2}} (which diverges) would be incorrect - we'd need ∑1n3/2\sum \frac{1}{n^{3/2}}. Choice B discusses conditional convergence but the convergence is actually absolute. Choice D incorrectly claims non-decreasing behavior when absolute convergence makes this irrelevant.
  11. The Alternating Series Test can be used to show convergence for which of the following series?
    Answer: ∑n=1∞(−1)nnen\sum_{n=1}^{\infty} (-1)^n \frac{n}{e^n} A) This series is 0+2/2+0+2/4+...0 + 2/2 + 0 + 2/4 + ... which is the harmonic series, not an alternating series. AST does not apply. B) The limit of the terms bn=n/(n+1)b_n = n/(n+1) is 1, not 0. Series diverges by nth-Term Test. AST does not show convergence. C) The terms bn=(2+sin⁡n)/n2b_n = (2+\sin n)/n^2 are not guaranteed to be decreasing due to the sin⁡n\sin n term. AST cannot be directly applied. D) Let bn=n/enb_n = n/e^n. lim⁡n→∞n/en=0\lim_{n\to\infty} n/e^n = 0 by L'Hôpital's Rule. The function f(x)=x/exf(x) = x/e^x has derivative f′(x)=(1−x)/exf'(x) = (1-x)/e^x, which is negative for x>1x>1. So, the terms are decreasing for n≥2n\ge 2. Both conditions of the AST are met.
  12. Consider ∑n=1∞(−1)nan\sum_{n=1}^{\infty} (-1)^n a_n where an=n2+3n+1n3+n2+5a_n = \frac{n^2 + 3n + 1}{n^3 + n^2 + 5}. Which statement about applying the Alternating Series Test is most accurate?
    Answer: The test confirms convergence since an→0a_n \to 0 and ana_n is eventually decreasing as verified by the derivative First, lim⁡n→∞n2+3n+1n3+n2+5=lim⁡n→∞n2(1+3/n+1/n2)n3(1+1/n+5/n3)=lim⁡n→∞1n⋅1+3/n+1/n21+1/n+5/n3=0\lim_{n \to \infty} \frac{n^2 + 3n + 1}{n^3 + n^2 + 5} = \lim_{n \to \infty} \frac{n^2(1 + 3/n + 1/n^2)}{n^3(1 + 1/n + 5/n^3)} = \lim_{n \to \infty} \frac{1}{n} \cdot \frac{1 + 3/n + 1/n^2}{1 + 1/n + 5/n^3} = 0. For large n, an≈1na_n \approx \frac{1}{n} which is decreasing. More rigorously, f(x)=x2+3x+1x3+x2+5f(x) = \frac{x^2 + 3x + 1}{x^3 + x^2 + 5} has f′(x)=(2x+3)(x3+x2+5)−(x2+3x+1)(3x2+2x)(x3+x2+5)2f'(x) = \frac{(2x+3)(x^3+x^2+5) - (x^2+3x+1)(3x^2+2x)}{(x^3+x^2+5)^2}. For large x, the numerator behaves like 2x4−3x4=−x4<02x^4 - 3x^4 = -x^4 < 0, so f is eventually decreasing. Choice B incorrectly evaluates the limit. Choice C wrongly claims we can't verify decreasing. Choice D misunderstands the analysis.
  13. If SN=∑n=1N(−1)n−1n2S_N = \sum_{n=1}^{N} \frac{(-1)^{n-1}}{n^2} is used to approximate S=∑n=1∞(−1)n−1n2S = \sum_{n=1}^{\infty} \frac{(-1)^{n-1}}{n^2}, what is the relationship between the true sum SS and the partial sum SNS_N?
    Answer: S>SNS > S_N for all even NN, and S<SNS < S_N for all odd NN. For an alternating series where bnb_n is decreasing, the partial sums oscillate around the true sum SS. The first term is a1=1/12=1>0a_1 = 1/1^2 = 1 > 0. The odd partial sums S1,S3,...S_1, S_3, ... form a decreasing sequence that converges to SS from above, so SN>SS_N > S for odd NN. The even partial sums S2,S4,...S_2, S_4, ... form an increasing sequence that converges to SS from below, so SN<SS_N < S for even NN. Rearranging these inequalities gives S<SNS < S_N for odd NN and S>SNS > S_N for even NN.
  14. Which of the following statements is true for the series ∑n=1∞cos⁡(nπ)n1/2+1\sum_{n=1}^{\infty} \frac{\cos(n\pi)}{n^{1/2} + 1}?
    Answer: The series converges conditionally. The term cos⁡(nπ)\cos(n\pi) is equivalent to (−1)n(-1)^n. So the series is ∑n=1∞(−1)nn+1\sum_{n=1}^{\infty} \frac{(-1)^n}{\sqrt{n} + 1}. This is an alternating series with bn=1n+1b_n = \frac{1}{\sqrt{n} + 1}. Since lim⁡n→∞bn=0\lim_{n\to\infty} b_n = 0 and bnb_n is a decreasing sequence, the series converges by the Alternating Series Test. To check for absolute convergence, we examine ∑n=1∞1n+1\sum_{n=1}^{\infty} \frac{1}{\sqrt{n} + 1}. By the Limit Comparison Test with the divergent p-series ∑1n\sum \frac{1}{\sqrt{n}} (where p=1/2p=1/2), this series diverges. Since the original series converges but not absolutely, it converges conditionally.
  15. Let f(x)f(x) be a positive, continuous, and decreasing function for x≥1x \ge 1 such that ∫1∞f(x)dx\int_1^\infty f(x) dx diverges. What can be concluded about the series ∑n=1∞(−1)nf(n)\sum_{n=1}^\infty (-1)^n f(n)?
    Answer: It must converge conditionally, provided lim⁡x→∞f(x)=0\lim_{x\to\infty} f(x) = 0. Let bn=f(n)b_n = f(n). The conditions given are that bnb_n is positive and decreasing. For the Alternating Series Test to apply, we also need lim⁡n→∞bn=0\lim_{n\to\infty} b_n = 0. The problem implicitly suggests this by framing it as a standard convergence problem. If we assume lim⁡n→∞f(n)=0\lim_{n\to\infty} f(n) = 0, the series ∑(−1)nf(n)\sum (-1)^n f(n) converges by the AST. The Integral Test states that since ∫1∞f(x)dx\int_1^\infty f(x) dx diverges, the series of absolute values, ∑f(n)\sum f(n), must also diverge. A series that converges but does not converge absolutely is conditionally convergent. The condition lim⁡x→∞f(x)=0\lim_{x\to\infty} f(x) = 0 is necessary for this conclusion.
  16. Consider the series ∑n=1∞(−1)nn2n3+10\sum_{n=1}^{\infty} (-1)^n \frac{n^2}{n^3+10}. What is its behavior?
    Answer: It converges conditionally. When you encounter an alternating series like ∑n=1∞(−1)nn2n3+10\sum_{n=1}^{\infty} (-1)^n \frac{n^2}{n^3+10}, you need to test for both conditional and absolute convergence. This requires checking the Alternating Series Test and examining whether the series converges when you remove the alternating signs. For the Alternating Series Test, let bn=n2n3+10b_n = \frac{n^2}{n^3+10}. First, check if lim⁡n→∞bn=0\lim_{n \to \infty} b_n = 0: dividing numerator and denominator by n3n^3 gives lim⁡n→∞11+10/n3=0\lim_{n \to \infty} \frac{1}{1 + 10/n^3} = 0. Next, verify that bnb_n is eventually decreasing. For large nn, bn≈1nb_n \approx \frac{1}{n}, which decreases. Since both conditions are satisfied, the alternating series converges. To test for absolute convergence, examine ∑n=1∞n2n3+10\sum_{n=1}^{\infty} \frac{n^2}{n^3+10}. Using the Limit Comparison Test with ∑1n\sum \frac{1}{n}: lim⁡n→∞n2/(n3+10)1/n=lim⁡n→∞n3n3+10=1\lim_{n \to \infty} \frac{n^2/(n^3+10)}{1/n} = \lim_{n \to \infty} \frac{n^3}{n^3+10} = 1. Since this limit is positive and finite, and ∑1n\sum \frac{1}{n} diverges, the series of absolute values diverges. Therefore, the series converges conditionally. Option B is wrong because the Alternating Series Test only requires bnb_n to be eventually decreasing, not for all n≥1n \geq 1. Option C incorrectly concludes absolute convergence when the comparison actually shows divergence. Option D is wrong because lim⁡n→∞(−1)nn2n3+10=0\lim_{n \to \infty} (-1)^n \frac{n^2}{n^3+10} = 0, so the nth-Term Test is inconclusive. Study tip: Always check both conditional and absolute convergence for alternating series—convergence of the alternating series doesn't guarantee absolute convergence.
  17. Let ∑n=1∞(−1)nbn\sum_{n=1}^{\infty} (-1)^n b_n be a series with bn>0b_n > 0. If lim⁡n→∞bn=L\lim_{n\to\infty} b_n = L where LL is a finite positive number, what can be definitively concluded about the series?
    Answer: The series diverges by the nth-Term Test for Divergence. If lim⁡n→∞bn=L>0\lim_{n\to\infty} b_n = L > 0, then the limit of the terms of the series, lim⁡n→∞(−1)nbn\lim_{n\to\infty} (-1)^n b_n, does not exist because the terms oscillate between values close to LL and −L-L. Since the limit of the terms is not 0, the series diverges by the nth-Term Test for Divergence. The Alternating Series Test is not merely inconclusive; a definitive conclusion of divergence can be made.
  18. What is the behavior of the series ∑n=1∞(−1)n(π2−arctan⁡(n))\sum_{n=1}^{\infty} (-1)^n \left( \frac{\pi}{2} - \arctan(n) \right)?
    Answer: The series converges conditionally. Let bn=π2−arctan⁡(n)b_n = \frac{\pi}{2} - \arctan(n). As n→∞n \to \infty, arctan⁡(n)→π/2\arctan(n) \to \pi/2, so lim⁡n→∞bn=0\lim_{n\to\infty} b_n = 0. Since arctan⁡(x)\arctan(x) is an increasing function, bnb_n is a decreasing sequence. By the AST, the series converges. To test for absolute convergence, we examine ∑bn\sum b_n. We can use the identity π2−arctan⁡(n)=arccot(n)\frac{\pi}{2} - \arctan(n) = \text{arccot}(n). For large nn, arccot(n)≈1/n\text{arccot}(n) \approx 1/n. Using the Limit Comparison Test with the divergent harmonic series ∑1/n\sum 1/n, we find that ∑bn\sum b_n diverges. Therefore, the series converges conditionally.
  19. What is the behavior of the series ∑n=1∞sin⁡((2n−1)π2)1n\sum_{n=1}^{\infty} \sin\left(\frac{(2n-1)\pi}{2}\right) \frac{1}{\sqrt{n}}?
    Answer: The series converges conditionally. When you encounter a series with trigonometric terms, you need to analyze both the trigonometric behavior and apply appropriate convergence tests. This series combines a trigonometric function with a power term, making it a candidate for alternating series analysis. First, let's examine sin⁡((2n−1)π2)\sin\left(\frac{(2n-1)\pi}{2}\right). For odd values of 2n−12n-1, this gives us sin⁡(π/2)=1\sin(\pi/2) = 1, sin⁡(3π/2)=−1\sin(3\pi/2) = -1, sin⁡(5π/2)=1\sin(5\pi/2) = 1, and so on. The pattern alternates: 1,−1,1,−1,...1, -1, 1, -1, ..., so our series becomes ∑n=1∞(−1)n+11n\sum_{n=1}^{\infty} (-1)^{n+1} \frac{1}{\sqrt{n}} This is indeed an alternating series where the terms 1n\frac{1}{\sqrt{n}} decrease monotonically to zero. By the Alternating Series Test, the series converges. However, to check absolute convergence, we examine ∑n=1∞∣sin⁡((2n−1)π2)∣1n=∑n=1∞1n\sum_{n=1}^{\infty} \left|\sin\left(\frac{(2n-1)\pi}{2}\right)\right| \frac{1}{\sqrt{n}} = \sum_{n=1}^{\infty} \frac{1}{\sqrt{n}} This is a p-series with p=1/2<1p = 1/2 < 1, which diverges. Since the original series converges but its absolute value diverges, the series converges conditionally. Option B is wrong because this clearly is an alternating series. Option C incorrectly suggests that oscillation alone causes divergence—oscillation can actually help convergence in alternating series. Option D is wrong because absolute convergence requires the p-series to converge, which it doesn't. Strategy tip: For series with trigonometric terms, always evaluate the trig function at specific values to identify patterns, then check both conditional and absolute convergence separately.
  20. The series ∑n=1∞an\sum_{n=1}^{\infty} a_n converges conditionally. Which of the following statements about the series ∑n=1∞(an+∣an∣)\sum_{n=1}^{\infty} (a_n + |a_n|) must be true?
    Answer: It diverges. If ∑an\sum a_n converges conditionally, then ∑an\sum a_n converges and ∑∣an∣\sum |a_n| diverges. Consider the new series ∑(an+∣an∣)\sum (a_n + |a_n|). If this series were to converge, then since ∑an\sum a_n converges, their difference must also converge. The difference is ∑(an+∣an∣)−∑an=∑∣an∣\sum (a_n + |a_n|) - \sum a_n = \sum |a_n|. This would imply that ∑∣an∣\sum |a_n| converges, which contradicts the definition of conditional convergence. Therefore, the series ∑(an+∣an∣)\sum (a_n + |a_n|) must diverge.

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