Inmathematics—specifically, infunctional analysis—aweakly measurable function taking values in aBanach space is afunction whosecomposition with any element of thedual space is ameasurable function in the usual (strong) sense. Forseparable spaces, the notions of weak and strong measurability agree.
If is ameasurable space and is a Banach space over afield (which is thereal numbers orcomplex numbers), then is said to beweakly measurable if, for everycontinuous linear functional the functionis a measurable function with respect to and the usualBorel-algebra on
A measurable function on aprobability space is usually referred to as arandom variable (orrandom vector if it takes values in a vector space such as the Banach space).Thus, as a special case of the above definition, if is a probability space, then a function is called a (-valued)weak random variable (orweak random vector) if, for every continuous linear functional the functionis a-valued random variable (i.e. measurable function) in the usual sense, with respect to and the usual Borel-algebra on
The relationship between measurability and weak measurability is given by the following result, known asPettis' theorem orPettis measurability theorem.
A function is said to bealmost surely separably valued (oressentially separably valued) if there exists a subset with such that is separable.
Theorem (Pettis, 1938)—A function defined on ameasure space and taking values in a Banach space is (strongly) measurable (that equals a.e. the limit of a sequence of measurable countably-valued functions)if and only if it is both weakly measurable and almost surely separably valued.
In the case that is separable, since any subset of a separable Banach space is itself separable, one can take above to be empty, and it follows that the notions of weak and strong measurability agree when is separable.