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Monotone Convergence Theorem

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Applicability to Infinite Integrals

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The Monotone Convergence Theorem is applicable even when the integrals of the functions (fn)(f_n) are infinite. It ensures that the limit of the sequence of functions, when integrated, will either converge to the same infinite value or a finite value.

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Condition 2: Non-negative Functions

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In the context of the Monotone Convergence Theorem, the functions (fn)(f_n) in the sequence must be non-negative. This means that for almost every point in the domain, fn(x)0f_n(x) \geq 0 for all nn.

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The Convergence of the Sequence

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The Monotone Convergence Theorem states that if a sequence of functions (fn)(f_n) satisfies the given conditions, it converges to a limit function ff almost everywhere.

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Condition 3: Measurable Functions

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The functions in the sequence must be measurable with respect to the given sigma-algebra. A measurable function is one whose pre-images of Borel sets are in the sigma-algebra.

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The Convergence of the Integrals

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A conclusion of the Monotone Convergence Theorem is that the integral of the limit function ff is equal to the limit of the integrals of the functions in the sequence, i.e., limnfn=limnfn=f\lim_{n \to \infty} \int f_n = \int \lim_{n \to \infty} f_n = \int f.

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Condition 1: Monotone Sequence

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The Monotone Convergence Theorem requires a sequence of functions (fn)(f_n) that is monotone; that is, each function in the sequence is either non-decreasing or non-increasing almost everywhere with respect to the previous function.

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