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Ch. 10 - Sequences and Infinite Series
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243Non è quello che usi tu?Cambia libro di testo
Tutti i libri di testoBriggs 3rd EditionCh. 10 - Sequences and Infinite SeriesProblema 10.6.43
Capitolo 10, Problema 10.6.43

39–44. {Use of Tech} Estimating infinite series Estimate the value of the following convergent series with an absolute error less than 10⁻³.


∑ (k = 1 to ∞) (−1)ᵏ / kᵏ

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1
Recognize that the series given is an alternating series of the form \(\sum_{k=1}^{\infty} \frac{(-1)^k}{k^k}\), where the terms alternate in sign and decrease in absolute value as \(k\) increases.
Recall the Alternating Series Estimation Theorem, which states that the absolute error when approximating an alternating series by its first \(n\) terms is less than or equal to the absolute value of the first omitted term, i.e., \(|R_n| \leq |a_{n+1}|\).
To estimate the sum with an absolute error less than \(10^{-3}\), find the smallest integer \(n\) such that the absolute value of the \((n+1)\)-th term satisfies \(\left| \frac{(-1)^{n+1}}{(n+1)^{n+1}} \right| < 10^{-3}\).
Calculate the partial sum \(S_n = \sum_{k=1}^n \frac{(-1)^k}{k^k}\) by adding the first \(n\) terms of the series.
Use the partial sum \(S_n\) as the estimate of the infinite series sum, knowing that the error is less than \(10^{-3}\) due to the Alternating Series Estimation Theorem.

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Convergence of Infinite Series

An infinite series converges if the sum of its terms approaches a finite limit as the number of terms increases indefinitely. For alternating series like this one, convergence can often be tested using the Alternating Series Test, which requires terms to decrease in absolute value and approach zero.
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Convergence of an Infinite Series

Alternating Series Estimation Theorem

This theorem states that for an alternating series with decreasing terms, the absolute error when approximating the sum by the first n terms is less than or equal to the absolute value of the (n+1)th term. This helps in determining how many terms are needed to achieve a desired error bound.
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Geometric Series

Absolute Error and Approximation

Absolute error measures the difference between the true value of a series and its approximation. To estimate a series within a specified absolute error (e.g., less than 10⁻³), one must sum enough terms so that the remainder (error) is smaller than this threshold, ensuring the approximation is sufficiently accurate.
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Determining Error and Relative Error
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23–38. Divergence, Integral, and p-series Tests Use the Divergence Test, the Integral Test, or the p-series test to determine whether the following series converge.

∑ (k = 1 to ∞) k / eᵏ

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9–36. Comparison tests Use the Comparison Test or the Limit Comparison Test to determine whether the following series converge.


∑ (k = 1 to ∞) sin(1 / k) / k²

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32–49. Choose your test Use the test of your choice to determine whether the following series converge absolutely, converge conditionally, or diverge.

∑ (from k = 1 to ∞) (−1)ᵏ / k⁰.⁹⁹

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Simplify k! / (k + 2)! for any integer k ≥ 0.

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13–52. Limits of sequences

Find the limit of the following sequences or determine that the sequence diverges.


{√((1 + 1 / 2n)ⁿ)}

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45–63. Absolute and conditional convergence Determine whether the following series converge absolutely, converge conditionally, or diverge.

∑ (k = 1 to ∞) (−1)ᵏ⁺¹ / (2√k − 1)

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