Simple Functions and Measurable Functions
Characteristic Function
A characteristic function of a set is a function defined by
Simple Function, Step Function
A simple function is a function that can be expressed as a finite linear combination of characteristic functions of measurable sets with finite measure: where are constants. In particular, if each is a rectangle, then is called a step function.
Lebesgue Measurable Function
A function defined on a measurable subset of is Lebesgue measurable, if the set is Lebesgue measurable for all Borel set . To simplify our notation, we shall often denote the set simply by whenever no confusion is possible.
Proposition
The followings are equivalent:
- is Lebesgue measurable.
- or or or is measurable for all .
Proposition
The followings are equivalent for a finite-valued function :
- is measurable.
- is measurable for all .
- is measurable for all open sets .
- is measurable for all closed sets .
Proposition
If is continuous on , then is measurable. If is measurable and finite-valued, and is continuous, then is measurable.
Proposition
Suppose is a sequence of measurable functions. Then are measurable. In particular, if exists a.e., it is measurable.
Proof Note that , and , and other cases are similar.
Proposition
If and are measurable, then
- The integer powers , are measurable.
- and are measurable if both and are finite-valued.
Almost Everywhere
We say that a property holds almost everywhere (a.e.) if the set of points where the property fails is a null set.
e.g. We say functions a.e. if has (outer) measure zero.
Proposition
Suppose is measurable, and a.e. . Then is measurable.
Approximation by Simple Functions
Theorem
Suppose is a non-negative measurable function on . Then there exists an increasing sequence of non-negative simple functions that converges pointwise to , namely,
Corollary
Suppose is measurable on . Then there exists a sequence of simple functions that satisfies
In particular, we have for all and .
We may now go one step further, and approximate by step functions. Here, in general, the convergence may hold only almost everywhere.
Theorem
Suppose is measurable on . Then there exists a sequence of step functions that converges pointwise to for almost every .