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91Ó°ÊÓ

Decide if the statements are true or false. Give an explanation for your answer. If \(b_{n} \leq a_{n} \leq 0\) for all \(n\) and \(\sum b_{n}\) converges, then \(\sum a_{n}\) converges.

Short Answer

Expert verified
False, the convergence of \(\sum b_n\) does not guarantee \(\sum a_n\) converges.

Step by step solution

01

Understand the Given Inequality

The statement provides an inequality \(b_{n} \leq a_{n} \leq 0\). This means each \(b_n\) is less than or equal to \(a_n\) and both are less than or equal to zero. Both \(a_n\) and \(b_n\) are non-positive sequences.
02

Analyze Convergence of \(\sum b_n\)

We are given that \(\sum b_n\) converges. Since each \(b_n \leq 0\), \(\sum b_n\) is a convergent series of non-positive terms.
03

Apply the Comparison Test for Convergence

In the Comparison Test, if a series of non-positive terms \(\sum b_n\) converges and \(b_n \leq a_n \leq 0\), it does not necessarily imply \(\sum a_n\) converges, because \(a_n\) might still have larger magnitude as negative values.
04

Conclusion on the Convergence of \(\sum a_n\)

Given \(b_n \leq a_n \leq 0\), we lack sufficient information about the absolute values of \(a_n\) compared to \(b_n\). Therefore, without additional criteria like \(|a_n| \leq |b_n|\), \(\sum a_n\) does not necessarily converge.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Comparison Test
The Comparison Test is a fundamental tool for determining the convergence of infinite series. It is particularly useful when dealing with non-positive or non-negative sequences. The main idea behind the test is to compare a known series with another series whose convergence properties are to be determined.

Let's break down how the Comparison Test works:
  • Given two series, \( \sum a_n \) and \( \sum b_n \), you can use the test under the condition that all terms in both series are non-positive or all are non-negative.
  • If \( 0 \leq b_n \leq a_n \) for all \( n \), and the series \( \sum a_n \) converges, then \( \sum b_n \) also converges.
  • Conversely, if \( a_n \leq b_n \leq 0 \), and the series \( \sum b_n \) converges, it does not automatically mean that \( \sum a_n \) converges if \( |a_n| \) can be larger than \( |b_n| \).
This highlights that for non-positive sequences, additional conditions are needed to ensure convergence beyond the knowledge that \( \sum b_n \) converges.
Non-positive Sequences
Non-positive sequences refer to sequences where each term is less than or equal to zero, i.e., each \( a_n \leq 0 \). These sequences are essential when analyzing series to understand their behavior, especially in the context of convergence.

Consider these key points about non-positive sequences:
  • Since all terms are non-positive, the series \( \sum a_n \) never increases, thus creating a non-decreasing partial sum when viewed in the context of absolute values.
  • When comparing two non-positive sequences, you must look at their absolute values when using tests for convergence, like the Comparison Test.
  • An important aspect of non-positive sequences is knowing that even if each term \( b_n \) in \( \sum b_n \) is less negative than \( a_n \) from \( \sum a_n \), the convergence isn't assured without more data.
Understanding these sequences allows better utilization of convergence tests and deeper insight into different series' behavior.
Convergent Series
A convergent series is one in which the sum of its infinitely many terms approaches a specific finite value as more terms are added. Identifying convergent series is a crucial part of mathematical analysis and is pivotal in many practical applications.

Key concepts for convergent series include:
  • For any series \( \sum a_n \), if the series has a finite limit as \( n \to \infty \), it is a convergent series.
  • Convergence doesn't depend solely on individual terms being small, but on their sum approaching a single value.
  • A series with negative terms, like with non-positive sequences, requires careful analysis through known tests (like the Comparison Test or Absolute Convergence Test) to ascertain convergence.
When dealing with assumptions based on convergence, such as \( \sum b_n \) being convergent, interpreting the conditions rigorously is crucial to drawing the correct conclusions about related series.

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