Beppo-Levi Theorem: Difference between revisions
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The sequence of functions <math> \left\{\sum_{n=1}^N f_n\right\}_{n\in \mathbb{N}} </math> is monotonically nondecreasing since each <math> f_n </math> is nonnegative. By the monotone convergence theorem, we thus deduce | The sequence of functions <math> \left\{\sum_{n=1}^N f_n\right\}_{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> | <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> | ||
==References== | |||
1. Folland, Gerald. B; "Real Analysis: Modern Techniques and Their Applications." Wiley. 2007. |
Revision as of 01:04, 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
In addition, we know that the sum of two nonnegative measurable functions is again nonnegative and measurable, and induction implies that each is again measurable and nonnegative.
The sequence of functions is monotonically nondecreasing since each is nonnegative. By the monotone convergence theorem, we thus deduce
References
1. Folland, Gerald. B; "Real Analysis: Modern Techniques and Their Applications." Wiley. 2007.