Beppo-Levi Theorem: Difference between revisions

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==Statement==
==Statement==
Let <math>(X,\Sigma, \mu)</math> be the underlying measure space and let <math>\{f_{n}\}_{n=1}^{\infty}</math> be a sequence of measurable functions with <math>f_{n}: X \rightarrow [0, +\infty]</math>. Then, <math> \sum_{n=1}^{\infty}\int f_{n}d\mu = \int \sum_{n=1}^{\infty}f_{n} d\mu </math>
Let <math>(X,\Sigma, \mu)</math> be the underlying measure space and let <math>\{f_{n}\}_{n=1}^{\infty}</math> be a sequence of measurable functions with <math>f_{n}: X \rightarrow [0, +\infty]</math> for each <math> n \in \mathbb{N} </math>. Then, <math> \sum_{n=1}^{\infty}\int f_{n}d\mu = \int \sum_{n=1}^{\infty}f_{n} d\mu </math>


==Proof==
==Proof==
For any two measurable functions <math>f,g:X \to [0,+\infty]</math>, we already know that <math display="block"> \int f + \int g = \int f+g. </math>
We know for any two non-negative measurable functions <math>f,g:X \to [0,+\infty]</math> that <math display="block"> \int f + \int g = \int f+g. </math>
Iterating this formula inductively, we find for all <math> N \in \mathbb{N}</math> that <math display="block"> \int \sum_{n=1}^N f_n = \sum_{n=1} \int f_n.  </math> The sequence of functions <math> \{\sum_{n=1}^N f_n\}_{n\in \mathbb{N}} </math> is monotonically nondecreasing since each <math> f_n </math> is nonnegative. By the monotone convergence theorem, we thus deduce
<math display="block"> \lim_{N\to\infty} \int \sum_{n=1}^N f_n = \int \lim_{N\to \infty} \sum_{n=1}^N f_n =\int \sum_{n=1}^\infty f_n. </math>

Revision as of 00:57, 18 December 2020

The Beppo-Levi theorem is a result in measure theory that gives us conditions wherein we may then pass the integral through an infinite series of functions. That is to say, this theorem provides conditions under which the (possibly infinite) sum of the integrals is equal to the integral of the sums.

Statement

Let be the underlying measure space and let be a sequence of measurable functions with for each . Then,

Proof

We know for any two non-negative measurable functions that

Iterating this formula inductively, we find for all that
The sequence of functions is monotonically nondecreasing since each is nonnegative. By the monotone convergence theorem, we thus deduce