Weakly measurable function
In mathematics—specifically, in functional analysis—a weakly measurable function taking values in a Banach space is a function whose composition with any element of the dual space is a measurable function in the usual (strong) sense. For separable spaces, the notions of weak and strong measurability agree.
Definition
If is a measurable space and is a Banach space over a field (which is the real numbers or complex numbers ), then is said to be weakly measurable if, for every continuous linear functional the function is a measurable function with respect to and the usual Borel -algebra on
A measurable function on a probability space is usually referred to as a random variable (or random 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 (or weak random vector) if, for every continuous linear functional the function is a -valued random variable (i.e. measurable function) in the usual sense, with respect to and the usual Borel -algebra on
Properties
The relationship between measurability and weak measurability is given by the following result, known as Pettis' theorem or Pettis measurability theorem.
A function is said to be almost surely separably valued (or essentially separably valued) if there exists a subset with such that is separable.
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.
See also
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References
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