Proving Absolute Convergence of a Real-Valued Function on a Sigma Algebra

In summary, if R is a sigma algebra and $f$ is a real-valued function on R, such that the sum of $f$($A_{n}$) over all n is equal to the image of the countable union under $f$, then the sum of $f$($A_{n}$) is absolutely convergent. This is because $f$ is bounded and the sequence of partial sums is increasing and bounded above by M.
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Fermat1
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Let R be a sigma algebra and let $f$ be a real value function on R such that for a sequence
($A_{n}$) of disjoint members of R, we have that the sum of $f$($A_{n}$) over all n is equal to the image of the countable union under $f$. Prove that the sum of $f$($A_{n}$) is in fact absolutely convergent.
 
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Since $f$ is a real-valued function, it must be bounded. That is, there exists a constant M such that |$f$($A_{n}$)| $\leq$ M for all n. By the Principle of Finite Sums, we know that the sum of a sequence of finitely many non-negative real numbers is convergent if and only if the sequence of partial sums is increasing and bounded above. Since the sum of $f$($A_{n}$) over all n is equal to the image of the countable union under $f$, the sequence of partial sums is increasing and bounded above by M. Therefore, the sum of $f$($A_{n}$) is absolutely convergent.
 

FAQ: Proving Absolute Convergence of a Real-Valued Function on a Sigma Algebra

What is absolute convergence?

Absolute convergence is a mathematical concept that describes a series whose terms decrease in value and eventually approach zero, resulting in a sum that is guaranteed to converge to a finite value regardless of the order in which the terms are added.

How is absolute convergence proven?

The most commonly used method for proving absolute convergence is the comparison test, which involves comparing the given series to a known convergent or divergent series. Other methods include the ratio test, root test, and integral test.

What is the importance of absolute convergence?

Absolute convergence is important because it guarantees that the sum of a series will converge to a finite value, making it easier to analyze and manipulate mathematically. It also allows for the rearrangement of terms in a series without changing the overall sum.

Can a series be conditionally but not absolutely convergent?

Yes, a series can be conditionally convergent if it converges but does not satisfy the criteria for absolute convergence. This means that the series may not converge to the same value if the terms are rearranged, and the sum may depend on the order in which the terms are added.

Are there any real-life applications of absolute convergence?

Absolute convergence has various applications in fields such as engineering, physics, and economics. For example, it is used in signal processing to analyze and manipulate signals, in physics to calculate the position of objects in motion, and in economics to model changes in market demand and supply.

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