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Ch. 10 - Sequences and Infinite Series
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243Not the one you use?Change textbook
Chapter 10, Problem 10.R.89c

89–90. {Use of Tech} Lower and upper bounds of a series
For each convergent series and given value of n, complete the following.


c. Find lower and upper bounds (Lₙ and Uₙ respectively) for the exact value of the series.


89.∑ (from k = 1 to ∞)1 / k⁵ ;n = 5

Verified step by step guidance
1
Identify the series given: \( \sum_{k=1}^{\infty} \frac{1}{k^5} \). This is a p-series with \( p = 5 \), which converges because \( p > 1 \).
Recognize that the partial sum \( S_n = \sum_{k=1}^n \frac{1}{k^5} \) approximates the total sum, and the remainder (or tail) \( R_n = \sum_{k=n+1}^\infty \frac{1}{k^5} \) represents the error between \( S_n \) and the exact sum.
Use the integral test remainder estimates to find bounds for the remainder \( R_n \). The integral test tells us that for a decreasing positive function \( f(k) = \frac{1}{k^5} \), the remainder satisfies: \[ \int_{n+1}^\infty f(x) \, dx \leq R_n \leq \int_n^\infty f(x) \, dx \] which translates to: \[ \int_{n+1}^\infty \frac{1}{x^5} \, dx \leq R_n \leq \int_n^\infty \frac{1}{x^5} \, dx \]
Calculate these improper integrals (without evaluating the final numeric value) using the formula for integrals of power functions: \[ \int_a^\infty x^{-p} \, dx = \frac{a^{-(p-1)}}{p-1} \quad \text{for} \quad p > 1 \] Apply this to \( p = 5 \) and \( a = n \) and \( a = n+1 \) to express the bounds for \( R_n \).
Finally, express the lower and upper bounds for the exact sum of the series as: \[ L_n = S_n + \int_{n+1}^\infty \frac{1}{x^5} \, dx \quad \text{and} \quad U_n = S_n + \int_n^\infty \frac{1}{x^5} \, dx \] where \( S_n = \sum_{k=1}^n \frac{1}{k^5} \) is the partial sum up to \( n = 5 \).

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Convergent Infinite Series

A convergent infinite series is a sum of infinitely many terms that approaches a finite limit as more terms are added. For example, the p-series ∑ 1/k^p converges if p > 1. Understanding convergence ensures the series has a well-defined sum to approximate.
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