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Fatou's Lemma
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Statement of Fatou's Lemma
Fatou's Lemma states that for any sequence of non-negative measurable functions , the following inequality holds:
Fatou's Lemma with Dominated Convergence Theorem
The Dominated Convergence Theorem can follow from Fatou's Lemma. If converges to a.e. and is dominated by an integrable function , then Fatou's Lemma helps to show that
Connection to Lebesgue Integration
Fatou's Lemma is integral within the Lebesgue integration framework as it validates that integration is well-defined in the limit under certain conditions. As an example, consider a sequence of simple functions that approximate a non-negative measurable function; Fatou's Lemma assures that we can interchange limit and integration for this sequence.
Counterexample Where Fatou's Lemma Does Not Apply
Consider the sequence of functions , where is the characteristic function. Here, , but
Need for Non-negative Functions
Fatou's Lemma requires the functions in the sequence to be non-negative because the lemma relies on the Monotone Convergence Theorem, which in turn is only valid for non-negative functions. If we considered a sequence with negative parts, the lemma might fail as integrals might not be well-defined (e.g., result in ).
Fatou's Lemma in Probability Theory
In the context of probability theory, Fatou's Lemma is often used to show that if are non-negative random variables, then:
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