Problem 5
Question
For \(j=1,2, \ldots, n\), let \(\left\\{x_{j k}\right\\}_{k=1}^{\infty}\) denote n sequences. Suppose that for each \(j\) $$ \sum_{k=1}^{\infty} x_{j, k} $$ is convergent. Then show $$ \sum_{j=1}^{n}\left(\sum_{k=1}^{\infty} x_{j, k}\right)=\sum_{k=1}^{\infty}\left(\sum_{j=1}^{n} x_{j, k}\right) . $$
Step-by-Step Solution
Verified Answer
The equality holds by changing the order of summation using Fubini's theorem for series.
1Step 1: Understand the Problem
We are given that \( \sum_{k=1}^{\infty} x_{j,k} \) is convergent for each \( j \). Our goal is to show that \( \sum_{j=1}^{n}\left(\sum_{k=1}^{\infty} x_{j, k}\right) = \sum_{k=1}^{\infty}\left(\sum_{j=1}^{n} x_{j, k}\right) \). This involves exchanging the order of summation.
2Step 2: Use the Definition of Series
According to the definition of a series, for each \( j \), \( \sum_{k=1}^{\infty} x_{j,k} = \lim_{m \to \infty} \sum_{k=1}^{m} x_{j,k} \). Similarly, we aim to show that \( \sum_{k=1}^{\infty} \sum_{j=1}^{n} x_{j,k} = \lim_{m \to \infty} \sum_{k=1}^{m} \sum_{j=1}^{n} x_{j,k} \).
3Step 3: Changing Summation Order
By Fubini's theorem for series (since all series involved converge absolutely), we can change the order of summation. Thus, \( \sum_{j=1}^{n} \sum_{k=1}^{m} x_{j,k} = \sum_{k=1}^{m} \sum_{j=1}^{n} x_{j,k} \).
4Step 4: Taking the Limits
As \( m \to \infty \), \( \sum_{j=1}^{n} \lim_{m \to \infty} \sum_{k=1}^{m} x_{j,k} = \sum_{j=1}^{n} \sum_{k=1}^{\infty} x_{j,k} \) and \( \lim_{m \to \infty} \sum_{k=1}^{m} \sum_{j=1}^{n} x_{j,k} = \sum_{k=1}^{\infty} \sum_{j=1}^{n} x_{j,k} \). Assume these terms separately converge, so their limits equal these series.
5Step 5: Conclusion
Hence, we have \( \sum_{j=1}^{n} \sum_{k=1}^{\infty} x_{j,k} = \sum_{k=1}^{\infty} \sum_{j=1}^{n} x_{j,k} \) by rearranging and analyzing the series and limits.
Key Concepts
Fubini's TheoremOrder of SummationSeries and Limits
Fubini's Theorem
Fubini's Theorem is a powerful tool in calculus that allows us to interchange the order of integration or summation when certain conditions are met. In the context of series, it ensures that if all the series involved are absolutely convergent, the order of summation can be changed freely. This theorem is integral to the solution of many problems in mathematical analysis and supports our ability to make calculations more manageable.
- Absolute Convergence: The key condition for applying Fubini's Theorem is absolute convergence. If a series converges absolutely, rearranging the terms does not affect the sum. This property allows us to exchange the order of summation successfully.
- Interchanging Summation: For series \(\sum_{j=1}^{n} \sum_{k=1}^{\infty} x_{j,k}\), Fubini’s Theorem allows us to interchange the summation to \(\sum_{k=1}^{\infty} \sum_{j=1}^{n} x_{j,k}\), simplifying complex calculations.
Order of Summation
The order in which you sum terms in a series can significantly impact the outcome of a calculation. The term "order of summation" refers to the sequence in which the summations occur in a mathematical expression. In situations where multiple sums are present, like in our exercise, the order might alter the difficulty, but not the result, thanks to Fubini's Theorem.When checking if the summation order can be changed:
- Absolute Convergence Requirement: If each series is absolutely convergent, you can safely swap the order of summation without affecting the final result.
- Example Context: In the given problem, the summation order goes from \(\sum_{j=1}^{n} \sum_{k=1}^{\infty} x_{j,k}\) to \(\sum_{k=1}^{\infty} \sum_{j=1}^{n} x_{j,k}\). By ensuring the series are convergent, we verified switching these orders is valid and beneficial.
Series and Limits
Series and limits are foundational concepts in mathematical analysis, and understanding them is crucial for solving convergence problems. A series is essentially the sum of the terms of a sequence, and its limit is the value it approaches as the number of terms grows indefinitely.Here are key points to understand:
- Definition of a Series: A series \(\sum_{k=1}^{\infty} a_k \) is the limit of the partial sums \(\sum_{k=1}^{m} a_k\) as \(m\) goes to infinity.
- Convergence: A series converges if the sequence of its partial sums approaches a specific number. This means there's a fixed point it hovers around as more terms are added.
- Application to the Exercise: In the original problem, each \(\sum_{k=1}^{\infty} x_{j,k}\) converges. Hence, we can equate it to its limit. The final equality \(\sum_{j=1}^{n} \sum_{k=1}^{\infty} x_{j,k} = \sum_{k=1}^{\infty} \sum_{j=1}^{n} x_{j,k}\) harnesses the concept of limits to show that both sides converge to the same value.
Other exercises in this chapter
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