Dominated Convergence Theorem: Difference between revisions
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In measure theory, the dominated convergence theorem is a cornerstone of Lebesgue integration. It can be viewed as a culmination of all efforts, and is a general statement about the interplay between limits and integrals. | In measure theory, the dominated convergence theorem is a cornerstone of Lebesgue integration. It can be viewed as a culmination of all efforts, and is a general statement about the interplay between limits and integrals. | ||
==Theorem Statement== | ==Theorem Statement== | ||
Consider the measure space <math> (X,\mathcal{M},\lambda) </math>. Suppose <math>\{f_n\}</math> is a sequence in <math>L^1(\lambda)</math> such that | Consider the measure space <math> (X,\mathcal{M},\lambda) </math>. Suppose <math>\{f_n\}</math> is a sequence in <math>L^1(\lambda)</math> such that | ||
# <math>f_n \to f</math> a.e | # <math>f_n \to f</math> a.e | ||
# there exists <math>g \in L^1(\lambda)</math> such that <math>|f_n| \leq g</math> a.e. for all <math>n \in \mathbb{N}</math> | # there exists <math>g \in L^1(\lambda)</math> such that <math>|f_n| \leq g</math> a.e. for all <math>n \in \mathbb{N}</math> | ||
Then <math>f \in L^1(\lambda)</math> and <math>\int f = \lim_{n \to \infty} \int f_n</math>. | Then <math>f \in L^1(\lambda)</math> and <math>\int f = \lim_{n \to \infty} \int f_n</math>. <ref name="Folland">Gerald B. Folland, ''Real Analysis: Modern Techniques and Their Applications, second edition'', §2.3 </ref> | ||
==Proof of Theorem== | ==Proof of Theorem== | ||
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<math>\limsup_{n \to \infty} \int f_n \leq \int f \leq \liminf_{n \to \infty} \int f_n</math> from which the result follows. | <math>\limsup_{n \to \infty} \int f_n \leq \int f \leq \liminf_{n \to \infty} \int f_n</math> from which the result follows. | ||
==References== |
Revision as of 08:55, 18 December 2020
In measure theory, the dominated convergence theorem is a cornerstone of Lebesgue integration. It can be viewed as a culmination of all efforts, and is a general statement about the interplay between limits and integrals.
Theorem Statement
Consider the measure space . Suppose is a sequence in such that
- a.e
- there exists such that a.e. for all
Then and . [1]
Proof of Theorem
is a measurable function in the sense that it is a.e. equal to a measurable function, since it is the limit of except on a null set. Also a.e., so .
Now we have a.e. and a.e. to which we may apply Fatou's lemma to obtain
,
where the equalities follow from linearity of the integral and the inequality follows from Fatou's lemma. We similarly obtain
.
Since , these imply
from which the result follows.
References
- ↑ Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, second edition, §2.3