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Weakly measurable function

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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.

Definition

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If(X,Σ){\displaystyle (X,\Sigma )} is ameasurable space andB{\displaystyle B} is a Banach space over afieldK{\displaystyle \mathbb {K} } (which is thereal numbersR{\displaystyle \mathbb {R} } orcomplex numbersC{\displaystyle \mathbb {C} }), thenf:XB{\displaystyle f:X\to B} is said to beweakly measurable if, for everycontinuous linear functionalg:BK,{\displaystyle g:B\to \mathbb {K} ,} the functiongf:XK defined by xg(f(x)){\displaystyle g\circ f\colon X\to \mathbb {K} \quad {\text{ defined by }}\quad x\mapsto g(f(x))}is a measurable function with respect toΣ{\displaystyle \Sigma } and the usualBorelσ{\displaystyle \sigma }-algebra onK.{\displaystyle \mathbb {K} .}

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 spaceB{\displaystyle B}).Thus, as a special case of the above definition, if(Ω,P){\displaystyle (\Omega ,{\mathcal {P}})} is a probability space, then a functionZ:ΩB{\displaystyle Z:\Omega \to B} is called a (B{\displaystyle B}-valued)weak random variable (orweak random vector) if, for every continuous linear functionalg:BK,{\displaystyle g:B\to \mathbb {K} ,} the functiongZ:ΩK defined by ωg(Z(ω)){\displaystyle g\circ Z\colon \Omega \to \mathbb {K} \quad {\text{ defined by }}\quad \omega \mapsto g(Z(\omega ))}is aK{\displaystyle \mathbb {K} }-valued random variable (i.e. measurable function) in the usual sense, with respect toΣ{\displaystyle \Sigma } and the usual Borelσ{\displaystyle \sigma }-algebra onK.{\displaystyle \mathbb {K} .}

Properties

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The relationship between measurability and weak measurability is given by the following result, known asPettis' theorem orPettis measurability theorem.

A functionf{\displaystyle f} is said to bealmost surely separably valued (oressentially separably valued) if there exists a subsetNX{\displaystyle N\subseteq X} withμ(N)=0{\displaystyle \mu (N)=0} such thatf(XN)B{\displaystyle f(X\setminus N)\subseteq B} is separable.

Theorem (Pettis, 1938)A functionf:XB{\displaystyle f:X\to B} defined on ameasure space(X,Σ,μ){\displaystyle (X,\Sigma ,\mu )} and taking values in a Banach spaceB{\displaystyle B} 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 thatB{\displaystyle B} is separable, since any subset of a separable Banach space is itself separable, one can takeN{\displaystyle N} above to be empty, and it follows that the notions of weak and strong measurability agree whenB{\displaystyle B} is separable.

See also

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References

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