Dominated Convergence Theorem

From Optimal Transport Wiki
Revision as of 09:52, 18 December 2020 by Dguo (talk | contribs)
Jump to navigation Jump to search

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

  1. a.e
  2. 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. [1] [2]

Applications of Theorem

  1. Suppose we want to compute . [3] Denote the integrand and see that for all and $1_{[0, 1]} \in L^1(\lambda)$. Note we only consider the constant function $1$ on $[0, 1]$. Applying the dominated convergence theorem, this allows us the move the limit inside the integral and compute it as usual.
  1. Using the theorem, we know there does not exist a dominating function for the sequence $f_n$ defined by $f_n(x) = n1_{[0, \frac{1}{n}]}$ because $f_n \to 0$ pointwise everywhere and . [4]

References

  1. 1.0 1.1 Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, second edition, §2.3
  2. Craig, Katy. MATH 201A Lecture 15. UC Santa Barbara, Fall 2020.
  3. Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, second edition, §2.3.28
  4. Craig, Katy. MATH 201A Lecture 15. UC Santa Barbara, Fall 2020.