Measurable function


In mathematics and in particular measure theory, a measurable function is a function between the underlying sets of two measurable spaces that preserves the structure of the spaces: the preimage of any measurable set is measurable, analogous to the definition that a function between topological spaces is continuous if it preserves the topological structure: the preimage of each open set is open. In real analysis, measurable functions are used in the definition of the Lebesgue integral. In probability theory, a measurable function on a probability space is known as a random variable.

Formal definition

Let and be measurable spaces, meaning that and -algebras and. A function is said to be measurable if for every the pre-image of under is in ; i.e.
That is,, where is the σ-algebra generated by f. If is a measurable function, we will write
to emphasize the dependency on the -algebras and.

Term usage variations

The choice of -algebras in the definition above is sometimes implicit and left up to the context. For example, for,, or other topological spaces, the Borel algebra is a common choice. Some authors define measurable functions as exclusively real-valued ones with respect to the Borel algebra.
If the values of the function lie in an infinite-dimensional vector space, other non-equivalent definitions of measurability, such as weak measurability and Bochner measurability, exist.

Notable classes of measurable functions

Real-valued functions encountered in applications tend to be measurable; however, it is not difficult to find non-measurable functions.