Chapter 2: Problem 5
Let \(\left\\{x_{n}\right\\}\) be a bounded sequence and let \(\left\\{y_{n}\right\\}\) be a sequence that converges to 0 . Prove that the sequence \(\left\\{x_{n} y_{n}\right\\}\) converges to 0 .
Short Answer
Expert verified
The sequence \(\{x_n y_n\}\) converges to 0 as \(\{y_n\}\) converges to 0 and \(\{x_n\}\) is bounded.
Step by step solution
01
Understand the Given Sequences
We have two sequences, \(\{x_n\}\) and \(\{y_n\}\). The sequence \(\{x_n\}\) is bounded, meaning there exists some constant \(M > 0\) such that \(|x_n| \leq M\) for all \(n\). The sequence \(\{y_n\}\) converges to 0, which means for any \(\epsilon > 0\), there exists a natural number \(N\) such that for all \(n \geq N\), \(|y_n| < \epsilon\).
02
Formulate the Goal
We need to show that the sequence \(\{x_n y_n\}\) converges to 0. This is done by showing that for any \(\epsilon > 0\), there exists a \(K\) such that if \(n \geq K\), then \(|x_n y_n| < \epsilon\).
03
Use the Definition of Converging Sequence
Since \(\{y_n\}\) converges to 0, given any \(\epsilon > 0\), we can choose \(\epsilon' = \frac{\epsilon}{M}\). There exists a natural number \(N\) such that for all \(n \geq N\), \(|y_n| < \epsilon' = \frac{\epsilon}{M}\).
04
Apply Boundedness of \(\{x_n\}\)
Since \(\{x_n\}\) is bounded, \(|x_n| \leq M\) for all \(n\). This allows us to estimate \(|x_n y_n|\):\\(|x_n y_n| = |x_n||y_n| \leq M|y_n|\).
05
Combine Inequalities for Proof
From step 3, for any \(n \geq N\), \(|y_n| < \frac{\epsilon}{M}\). Using the inequality from step 4, we have:\[|x_n y_n| \leq M|y_n| < M\left(\frac{\epsilon}{M}\right) = \epsilon\]Thus, for any \(n \geq N\), \(|x_n y_n| < \epsilon\), which means \(\{x_n y_n\}\) converges to 0.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Bounded Sequences
A bounded sequence is a core concept in mathematical analysis. It refers to a sequence of numbers that stays within a fixed boundary. To be more precise, a sequence \(\{x_n\}\) is considered bounded if there is some constant \(M > 0\) such that, for every term in the sequence, the absolute value \(|x_n|\) is less than or equal to \(M\). This means that, no matter how far you go in the sequence, the values won't suddenly become infinitely large or small.
- This concept ensures stability within the sequence.
- It prevents the sequence from "escaping" to infinity.
- Boundedness is an important property when dealing with limits and convergence.
Convergent Sequences
Convergent sequences are sequences that approach a specific value as they progress to infinity. For example, suppose you have a sequence \(\{y_n\}\) that converges to 0. This means that, as you take more and more terms (as \(n\) becomes very large), those terms get closer and closer to 0.
- Convergence means "getting closer over time."
- For \(\{y_n\}\) to converge to 0, we need \(|y_n| < \epsilon\) for any desired small number \(\epsilon > 0\), past a certain stage of the sequence.
- This is possible because, given \(\epsilon > 0\), there exists a number \(N\) such that for all terms beyond this point \(n \geq N\), the difference from 0 is smaller than \(\epsilon\).
Epsilon-Delta Definition
The epsilon-delta definition is a mathematical way of formally defining limits. It's crucial in understanding how sequences and functions behave as they approach a certain value. More specifically, it's used to rigorously prove that a sequence converges to a limit.For a sequence \(\{y_n\}\) converging to a value \(L\), the definition states:
- For any \(\epsilon > 0\) (no matter how small), there exists a positive integer \(N\).
- For all terms of the sequence where \(n \geq N\), the terms are within \(\epsilon\) units of \(L\).
- Mathematically, this is written as: \(|y_n - L| < \epsilon\).