A physics model sums ; determine whether it converges absolutely, conditionally, or diverges.
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AP Calculus BC Quiz
Practice Determining Absolute Or Conditional Convergence in AP Calculus BC with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.
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A physics model sums ∑n=1∞(−1)nnlnn; determine whether it converges absolutely, conditionally, or diverges.
This quiz focuses on Determining Absolute Or Conditional Convergence, giving you a quick way to practice the rules, question types, and explanations that matter most for AP Calculus BC.
Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.
A physics model sums ∑n=1∞(−1)nnlnn; determine whether it converges absolutely, conditionally, or diverges.
Explanation: Assessing convergence types—absolute, conditional, or divergent—is key for physics models using series. Distinguish by checking if ∑|a_n| converges (absolute) or diverges while the alternating converges (conditional). Apply AST: (ln n)/n decreases to zero for n≥3, confirming convergence. The absolute series ∑ (ln n)/n diverges by Integral Test, as ∫ (ln x)/x dx = (ln x)^2/2 → ∞. Claiming absolute convergence by comparison to ∑1/n² fails because (ln n)/n grows slower than 1/n but still diverges. A transferable approach: test absolute with integral or comparison, falling back to AST for conditional if needed.
Determine whether ∑n=1∞(−1)nn3+n1 converges absolutely, conditionally, or diverges.
Explanation: This problem examines ∑n=1∞(−1)nn3+n1. The alternating series test confirms convergence since n3+n1 decreases to 0. For absolute convergence, we analyze ∑n=1∞n3+n1=∑n=1∞n(n2+1)1. For large n, this behaves like n31, and by limit comparison with the convergent p-series ∑n31, our series converges. Since the absolute value series converges, the original series converges absolutely. Choice A incorrectly suggests only conditional convergence without properly checking the absolute value series. The key: when terms behave like np1 with p>1 for large n, expect absolute convergence.
For an alternating perturbation, classify ∑n=1∞(−1)nn+11 as absolute, conditional, or divergent.
Explanation: Classifying alternating perturbations like ∑ (-1)^n / (√n +1) involves convergence skills. Absolute: ∑ 1/(√n +1) ≈ ∑ 1/√n diverges (p=1/2<1). Conditional: AST as 1/(√n +1) decreases to 0. Converges conditionally. The distractor of absolute by comparison to ∑ 1/n^{3/2} fails, as it diverges like 1/√n, not converges. Strategy: approximate for large n; if absolute like divergent p-series, test AST for conditional.
In a Fourier-type sum, determine whether ∑n=1∞(−1)nnlnn converges absolutely, conditionally, or diverges.
Explanation: In Fourier-type sums, classifying convergence like for ∑ (-1)^n (ln n)/n is vital. Absolute: ∑ (ln n)/n diverges by integral test, as ∫ (ln x)/x dx = (1/2)(ln x)^2 → ∞. Conditional: AST applies because (ln n)/n decreases to 0 for large n. Thus, conditional. The distractor of divergence because (ln n)/n does not decrease fails, as it does decrease for n > e. Tip: assess absolute with integrals; if divergent, verify decreasing and limit 0 for conditional via AST.
In analyzing a signal, determine whether ∑n=1∞n(−1)n−1 converges absolutely, conditionally, or diverges.
Explanation: Determining whether a series converges absolutely, conditionally, or diverges is a key skill in series analysis. Absolute convergence occurs when the series of absolute values converges, while conditional convergence means the original series converges but the absolute series diverges. To test, first check if the absolute series ∑ 1/√n converges, which it does not as it is a p-series with p=1/2<1. Since it alternates with terms decreasing to 0, it converges by the alternating series test (AST), hence conditionally. A tempting distractor claims convergence by the ratio test so absolutely, but the ratio test gives limit 1, which is inconclusive. Remember, always check absolute convergence first, and if it fails, then check for conditional convergence using AST or other methods.
A numerical method produces ∑n=1∞(−1)n+1n(n+1)1; classify its convergence type.
Explanation: Convergence type classification is key for numerical methods producing series like ∑ (-1)^{n+1} / [n(n+1)]. Check absolute: ∑ 1/[n(n+1)] telescopes to 1, converging. Since absolute converges, the series converges absolutely. No conditional check needed. The distractor of conditional by comparison to ∑ 1/n fails because the absolute series converges, not diverges. Strategy: decompose terms if possible; absolute convergence simplifies to checking the positive series directly.
Determine the type of convergence of ∑n=1∞n(−1)n−1.
Explanation: This question asks about ∑n=1∞n(−1)n−1. The alternating series test applies since n1 decreases to 0. For absolute convergence, we check ∑n=1∞n1=∑n=1∞n1/21, which is a p-series with p=21<1, so it diverges. Since the alternating series converges but the absolute value series diverges, we have conditional convergence. Choice E incorrectly suggests that a p-series with p=21 proves absolute convergence, but p-series diverge when p≤1. Remember: for alternating p-series ∑np(−1)n, you get absolute convergence when p>1 and conditional convergence when 0<p≤1.
A stability sum is ∑n=1∞(−1)n−1n2+cosn1; determine its convergence type.
Explanation: Determining whether a series converges absolutely, conditionally, or diverges is a key skill in series analysis. Absolute convergence occurs when the series of absolute values converges, while conditional convergence means the original series converges but the absolute series diverges. To test, first check if the absolute series ∑n2+cosn1 converges, which it does by comparison to ∑n21 since cosn is bounded. Thus, the original series converges absolutely. A tempting distractor suggests convergence by comparison to ∑n1 so diverges, but it converges unlike ∑n1. Remember, always check absolute convergence first, and if it fails, then check for conditional convergence using AST or other methods.
Determine whether ∑n=1∞(−1)n−1n2+3n converges absolutely, conditionally, or diverges.
Explanation: Determining whether a series converges absolutely, conditionally, or diverges is a key skill in series analysis. Absolute convergence occurs when the series of absolute values converges, while conditional convergence means the original series converges but the absolute series diverges. To test, first check if the absolute series ∑n/(n2+3) converges, which it does as it behaves like ∑1/n3/2 (p=3/2>1). Thus, the original series converges absolutely. A tempting distractor suggests convergence by comparison to ∑1/n so diverges, but it converges unlike ∑1/n. Remember, always check absolute convergence first, and if it fails, then check for conditional convergence using AST or other methods.
Determine whether ∑n=1∞(−1)n+1n(ln(n+1))21 converges absolutely, conditionally, or diverges.
Explanation: This question requires analyzing ∑n=1∞(−1)n+1n(ln(n+1))21. For absolute convergence, we check if ∑n=1∞n(ln(n+1))21 converges. Using the integral test with substitution u=ln(x+1), we get ∫1∞x(ln(x+1))21dx, which converges because it behaves like ∫u21du after substitution. Since the absolute value series converges, the original series converges absolutely. Choice B incorrectly suggests only conditional convergence, not recognizing that the squared logarithm in the denominator provides enough decay for absolute convergence. The key insight: powers of logarithms greater than 1 in the denominator often lead to absolute convergence.
Determine whether the series ∑n=1∞n(−1)n+1 converges absolutely, conditionally, or diverges.
Explanation: This problem tests your ability to classify series convergence as absolute, conditional, or divergent. A series converges absolutely if the series of absolute values converges, and conditionally if the original series converges but the absolute value series diverges. For the alternating harmonic series ∑n=1∞n(−1)n+1, we check absolute convergence by examining ∑n=1∞n1, which is the harmonic series that diverges. However, the original alternating series converges by the alternating series test since n1 decreases to 0. Choice C incorrectly claims the terms don't approach 0, when clearly limn→∞n(−1)n+1=0. The key strategy: if an alternating series converges but its absolute value series diverges, it converges conditionally.
Classify ∑n=1∞(−1)nnnn! as absolutely convergent, conditionally convergent, or divergent.
Explanation: This problem asks about ∑n=1∞(−1)nnnn!. To determine convergence type, we first check if nnn!→0. By Stirling's approximation or the ratio test, limn→∞n!/nn(n+1)!/(n+1)n+1=limn→∞(n+1)nnn=limn→∞(n+1n)n=e1<1. This means the absolute value series ∑nnn! converges by the ratio test, so the original alternating series converges absolutely. Choice A incorrectly suggests only conditional convergence, missing that the factorial grows much slower than nn. The principle: when ratio test gives a limit less than 1, the series converges absolutely regardless of alternating signs.
Determine whether the series ∑n=1∞n(−1)n−1 converges absolutely, conditionally, or diverges.
Explanation: This problem tests your ability to classify series convergence as absolute, conditional, or divergent. The series ∑n=1∞n(−1)n−1 is the alternating harmonic series, which converges by the alternating series test since n1 decreases to 0. To check absolute convergence, we examine ∑n=1∞n(−1)n−1=∑n=1∞n1, which is the harmonic series and diverges. Since the original series converges but the absolute value series diverges, we have conditional convergence. Choice E incorrectly claims the alternating series test proves absolute convergence, but this test only establishes convergence of the alternating series itself. Remember: a series converges conditionally when it converges but its absolute value series diverges.
Determine whether ∑n=1∞n2(−1)n converges absolutely, conditionally, or diverges.
Explanation: This problem asks about the convergence of ∑n=1∞n2(−1)n. The alternating series test confirms convergence since n21 decreases to 0. For absolute convergence, we check ∑n=1∞n21, which is a p-series with p=2>1, so it converges. Since the absolute value series converges, the original series converges absolutely. Choice D incorrectly claims divergence for a p-series with p=2, but p-series converge when p>1. The fundamental principle: a series converges absolutely when its absolute value series converges, making the alternating nature irrelevant to the convergence classification.
Determine the type of convergence of ∑n=2∞nlnn(−1)n.
Explanation: This question requires determining the convergence type of ∑n=2∞nlnn(−1)n. For the alternating series test, we need nlnn1 to be decreasing and approach 0, which it does since both n and lnn increase. To check absolute convergence, we examine ∑n=2∞nlnn1, which diverges by the integral test since ∫2∞xlnx1dx=ln(lnx)∣2∞=∞. Therefore, the series converges conditionally. Choice B incorrectly suggests that slow growth of lnn causes divergence, when actually the alternating nature ensures convergence. The key insight: when an alternating series converges but its absolute value series diverges, you have conditional convergence.
Determine whether ∑n=1∞(−1)nn+n+11 converges absolutely, conditionally, or diverges.
Explanation: Determining whether a series converges absolutely, conditionally, or diverges is a key skill in series analysis. Absolute convergence occurs when the series of absolute values converges, while conditional convergence means the original series converges but the absolute series diverges. To test, first check if the absolute series ∑ 1/(√n + √(n+1)) converges, which it does not as it behaves like ∑ 1/(2√n) (p=1/2<1). Since it alternates with terms 1/(√n + √(n+1)) decreasing to 0, it converges by AST, hence conditionally. A tempting distractor claims divergence because terms do not go to 0, but they do approach 0. Remember, always check absolute convergence first, and if it fails, then check for conditional convergence using AST or other methods.
Classify ∑n=1∞(−1)nnln(n+1) as absolutely convergent, conditionally convergent, or divergent.
Explanation: Determining absolute or conditional convergence is essential for analyzing infinite series in calculus. Absolute convergence requires the series of absolute terms to converge, while conditional means only the original converges. Tests involve checking ∑ |a_n| with comparison or integral, and if divergent, applying the alternating series test to the original. Here, the absolute series ∑ ln(n+1)/√n diverges by comparison to ∑ 1/√n (p=1/2<1), but the original converges by AST since ln(n+1)/√n decreases to 0. A common distractor is thinking it converges absolutely by ratio test, but the ratio limit is 1, inconclusive. Always verify absolute convergence first; if it fails, assess conditional via AST for alternating series with decreasing terms to 0.
A series in a report is ∑n=1∞(−1)nn(ln(n+1))21; classify its convergence.
Explanation: Determining whether a series converges absolutely, conditionally, or diverges is a key skill in series analysis. Absolute convergence occurs when the series of absolute values converges, while conditional convergence means the original series converges but the absolute series diverges. To test, first check if the absolute series ∑ 1/(n (ln(n+1))^2) converges, which it does by integral test as ∫ dx/(x (ln x)^2) converges. Thus, the original series converges absolutely. A tempting distractor suggests convergence by comparison to ∑ 1/(n ln n) so diverges, but the extra (ln n)^2 in denominator makes it converge. Remember, always check absolute convergence first, and if it fails, then check for conditional convergence using AST or other methods.
A numerical method uses ∑n=1∞(−1)n−1n+sinn1; classify its convergence.
Explanation: Determining whether a series converges absolutely, conditionally, or diverges is a key skill in series analysis. Absolute convergence occurs when the series of absolute values converges, while conditional convergence means the original series converges but the absolute series diverges. To test, first check if the absolute series ∑n+sinn1 converges, which it does not as it behaves like ∑n1. Since it alternates with terms n+sinn1 decreasing to 0, it converges by AST, hence conditionally. A tempting distractor claims convergence by the ratio test so absolutely, but the ratio is inconclusive due to oscillation. Remember, always check absolute convergence first, and if it fails, then check for conditional convergence using AST or other methods.
In a finance model, classify ∑n=1∞(−1)nn+11 as absolute, conditional, or divergent.
Explanation: Determining whether a series converges absolutely, conditionally, or diverges is a key skill in series analysis. Absolute convergence occurs when the series of absolute values converges, while conditional convergence means the original series converges but the absolute series diverges. To test, first check if the absolute series ∑ 1/(n+1) converges, which it does not (harmonic series). Since it alternates with terms 1/(n+1) decreasing to 0, it converges by AST, hence conditionally. A tempting distractor claims divergence because terms do not alternate, but they do alternate. Remember, always check absolute convergence first, and if it fails, then check for conditional convergence using AST or other methods.