To discuss integration, we have to focus on functions with values in the extended real numbers.
Proposition
A function on a measure space with values in the extended real numbers (with standard Borel sigma algebra) is measurable if and only if for all .
Integrable Functions
Suppose is a measure space. A measurable function is integrable if
Properties of Integration
The elementary properties of integral continue to hold:
Proposition
The following properties hold for integrals on a measure space :
Linearity:
Additivity: If and are disjoint subsets of , then
Monotonicity: If , then
Triangle inequality:
The basic limit theorems also hold:
Fatou's Lemma
If is a sequence of non-negative measurable functions on , then
Monotone Convergence Theorem
If is a sequence of non-negative measurable functions with on , then
Bounded Convergence Theorem
If is a sequence of measurable functions on with and for all . If a.e., then
Dominated Convergence Theorem
If is a sequence of measurable functions with pointwise a.e. on , and for some integrable , then
The Space of Integrable Functions
We denote by the space of all integrable functions on , modulo the equivalence relation of being equal almost everywhere, with the norm defined by the integral of the absolute value:
We define to be the equivalence classes of measurable functions for which . It posses an inner product: which induces a norm
Proposition
The space is a (possibly non-separable) Hilbert space.
Proposition
Suppose is a measure space. Then any for is integrable if .
Proof This follows from the Cauchy-Schwarz inequality:
Product Measures and Fubini’s Theorem
Measurable Rectangle
Let and be measurable spaces. A measurable rectangle is a set of the form , where and .
Lemma
Let and be measurable spaces. Then is a -algebra on . It is the smallest -algebra containing all measurable rectangles.
Product Measure
Suppose and are two measure spaces. A measure on is called a product measure if for all measurable rectangles , we have
Product Measure Theorem
Suppose and are two measure spaces. Then there exists a measure on such that for all measurable rectangles . Moreover, if and are -finite, then is unique and -finite, and we denote it as .
Proof
Tonelli's Theorem
Suppose and are two -finite measure spaces, and is -measurable. Then
is an -measurable function on ,
is an -measurable function on ,
and
Fubini's Theorem
Suppose and are two -finite measure spaces, and is -integrable. Then is -integrable for a.e. , and is -integrable for a.e. . Moreover, we have