Measurable functions §
A measurable function is a map between two measurable spaces that “respects” the measurable structure: preimages of measurable sets are measurable. It is the bridge that allows integration to be defined. It answers the question which functions can we integrate? In probability, a random variable is precisely a measurable function from a probability space to , which motivates the concept for readers coming from that direction.
Authoritative sources
Definition §
Let and be measurable spaces. A function is measurable if
In the most common case, with its Borel sigma-algebra .
Details
Equivalent characterizations for :
is measurable if and only if any (hence all) of the following hold:
- for all
- for all
- for all
Key facts:
- If and are measurable, then , , , , are all measurable.
- See Pointwise limits for closure under limits, and Simple functions for the approximation theorem.
Note on the nature of measurability. Measurability is a relationship between two measurable structures (the sigma-algebra on the domain and the sigma-algebra on the codomain), not a property of the function in isolation. The same function may be measurable with respect to one sigma-algebra on and not another.
Non-measurable functions. If (the trivial sigma-algebra), then the only measurable functions are the constant functions: for any non-constant , there exists a Borel set such that is a proper non-empty subset of , which is not in . More dramatically, on (Lebesgue-measurable sets), the indicator of a Vitali set is not measurable because .
Simple functions §
A simple function is a measurable function taking only finitely many values:
where are distinct and are pairwise disjoint.
Details
Simple functions are the building blocks of the Lebesgue integral. Every nonnegative measurable function is the pointwise limit of an increasing sequence of simple functions .
Example. On , the floor function is not simple (it takes infinitely many values). However, restricted to it is simple:
The integral of a simple function is defined algebraically (see Lebesgue integral for the full construction):
This is independent of the particular representation of as a sum of indicator functions.
Composition of measurable functions §
Theorem. If is measurable and is measurable, then is measurable.
Corollary. If is measurable and is Borel-measurable (in particular, if is continuous), then is measurable.
Details
Proof. For any (the sigma-algebra on ): Since is measurable, . Since is measurable, .
Why the corollary matters. Every continuous function is Borel-measurable (preimages of open sets are open, hence Borel). So if is measurable, then , , , , etc. are all measurable. This is the practical workhorse: you rarely need to check measurability from scratch; you compose known measurable functions.
Pointwise limits and measurability §
Theorem. If are measurable functions , then:
- , , , are all measurable.
- If pointwise, then is measurable.
Details
Proof sketch. For : , which is a countable union of measurable sets.
This theorem is crucial because it means the class of measurable functions is “closed under the operations we actually use”: taking limits, composing, adding, multiplying.
Connection to the Riemann integral. Every Riemann-integrable function is Lebesgue-measurable (it is the a.e. limit of step functions, which are simple functions). The converse is false: the Dirichlet function is measurable (hence Lebesgue-integrable, with integral 0) but not Riemann-integrable.
Interactive exploration §
Example problem §
Problem. Let be the Borel measurable space. Show that (the Dirichlet function) is Borel-measurable, and find a sequence of simple functions converging to it pointwise.
Solution
Step 1: Show measurability.
takes only the values 0 and 1. For any Borel set :
- If and : ✓
- If , : (complement of a countable set) ✓
- If , : (countable set) ✓
- If , : ✓
So is Borel-measurable.
Step 2: Construct simple functions.
Let where is an enumeration of . Each is a simple function (it takes values 0 and 1 on the measurable sets and its complement). And for every .
So is Borel-measurable.
Step 2: Construct simple functions.
Let where is an enumeration of . Each is a simple function (it takes values 0 and 1 on the measurable sets and its complement). And for every .