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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.
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:
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 ).
Counterexample Where Fatou's Lemma Does Not Apply
Consider the sequence of functions , where is the characteristic function. Here, , but
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