Real-valued Measurable Functions

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:

Proposition

The space is a complete normed vector space.

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

  • is an -measurable function on ,
  • is an -measurable function on ,

and