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.
Statement Theorem
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. [1] [2]
Applications of Theorem
- 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.
- Using the theorem, we know there does not exist a dominating function for the sequence defined by because pointwise everywhere and . [4]
References
- ↑ 1.0 1.1 Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, second edition, §2.3
- ↑ Craig, Katy. MATH 201A Lecture 15. UC Santa Barbara, Fall 2020.
- ↑ Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, second edition, §2.3.28
- ↑ Craig, Katy. MATH 201A Lecture 15. UC Santa Barbara, Fall 2020.