Vitali convergence theorem
In real analysis and measure theory, the Vitali convergence theorem, named after the Italian mathematician Giuseppe Vitali, is a generalization of the better-known dominated convergence theorem of Henri Lebesgue. It is a characterization of the convergence in Lp in terms of convergence in measure and a condition related to uniform integrability.
Preliminary definitions
[edit ]Let {\displaystyle (X,{\mathcal {A}},\mu )} be a measure space, i.e. {\displaystyle \mu :{\mathcal {A}}\to [0,\infty ]} is a set function such that {\displaystyle \mu (\emptyset )=0} and {\displaystyle \mu } is countably-additive. All functions considered in the sequel will be functions {\displaystyle f:X\to \mathbb {K} }, where {\displaystyle \mathbb {K} =\mathbb {R} } or {\displaystyle \mathbb {C} }. We adopt the following definitions according to Bogachev's terminology.[1]
- A set of functions {\displaystyle {\mathcal {F}}\subset L^{1}(X,{\mathcal {A}},\mu )} is called uniformly integrable if {\displaystyle \lim _{M\to +\infty }\sup _{f\in {\mathcal {F}}}\int _{\{|f|>M\}}|f|,円d\mu =0}, i.e {\displaystyle \forall \ \varepsilon >0,\ \exists \ M_{\varepsilon }>0:\sup _{f\in {\mathcal {F}}}\int _{\{|f|\geq M_{\varepsilon }\}}|f|,円d\mu <\varepsilon }.
- A set of functions {\displaystyle {\mathcal {F}}\subset L^{1}(X,{\mathcal {A}},\mu )} is said to have uniformly absolutely continuous integrals if {\displaystyle \lim _{\mu (A)\to 0}\sup _{f\in {\mathcal {F}}}\int _{A}|f|,円d\mu =0}, i.e. {\displaystyle \forall \ \varepsilon >0,\ \exists \ \delta _{\varepsilon }>0,\ \forall \ A\in {\mathcal {A}}:\mu (A)<\delta _{\varepsilon }\Rightarrow \sup _{f\in {\mathcal {F}}}\int _{A}|f|,円d\mu <\varepsilon }. This definition is sometimes used as a definition of uniform integrability. However, it differs from the definition of uniform integrability given above.
When {\displaystyle \mu (X)<\infty }, a set of functions {\displaystyle {\mathcal {F}}\subset L^{1}(X,{\mathcal {A}},\mu )} is uniformly integrable if and only if it is bounded in {\displaystyle L^{1}(X,{\mathcal {A}},\mu )} and has uniformly absolutely continuous integrals. If, in addition, {\displaystyle \mu } is atomless, then the uniform integrability is equivalent to the uniform absolute continuity of integrals.
Finite measure case
[edit ]Let {\displaystyle (X,{\mathcal {A}},\mu )} be a measure space with {\displaystyle \mu (X)<\infty }. Let {\displaystyle (f_{n})\subset L^{p}(X,{\mathcal {A}},\mu )} and {\displaystyle f} be an {\displaystyle {\mathcal {A}}}-measurable function. Then, the following are equivalent :
- {\displaystyle f\in L^{p}(X,{\mathcal {A}},\mu )} and {\displaystyle (f_{n})} converges to {\displaystyle f} in {\displaystyle L^{p}(X,{\mathcal {A}},\mu )} ;
- The sequence of functions {\displaystyle (f_{n})} converges in {\displaystyle \mu }-measure to {\displaystyle f} and {\displaystyle (|f_{n}|^{p})_{n\geq 1}} is uniformly integrable ;
For a proof, see Bogachev's monograph "Measure Theory, Volume I".[1]
Infinite measure case
[edit ]Let {\displaystyle (X,{\mathcal {A}},\mu )} be a measure space and {\displaystyle 1\leq p<\infty }. Let {\displaystyle (f_{n})_{n\geq 1}\subseteq L^{p}(X,{\mathcal {A}},\mu )} and {\displaystyle f\in L^{p}(X,{\mathcal {A}},\mu )}. Then, {\displaystyle (f_{n})} converges to {\displaystyle f} in {\displaystyle L^{p}(X,{\mathcal {A}},\mu )} if and only if the following holds :
- The sequence of functions {\displaystyle (f_{n})} converges in {\displaystyle \mu }-measure to {\displaystyle f} ;
- {\displaystyle (f_{n})} has uniformly absolutely continuous integrals;
- For every {\displaystyle \varepsilon >0}, there exists {\displaystyle X_{\varepsilon }\in {\mathcal {A}}} such that {\displaystyle \mu (X_{\varepsilon })<\infty } and {\displaystyle \sup _{n\geq 1}\int _{X\setminus X_{\varepsilon }}|f_{n}|^{p},円d\mu <\varepsilon .}
When {\displaystyle \mu (X)<\infty }, the third condition becomes superfluous (one can simply take {\displaystyle X_{\varepsilon }=X}) and the first two conditions give the usual form of Lebesgue-Vitali's convergence theorem originally stated for measure spaces with finite measure. In this case, one can show that conditions 1 and 2 imply that the sequence {\displaystyle (|f_{n}|^{p})_{n\geq 1}} is uniformly integrable.
Converse of the theorem
[edit ]Let {\displaystyle (X,{\mathcal {A}},\mu )} be measure space. Let {\displaystyle (f_{n})_{n\geq 1}\subseteq L^{1}(X,{\mathcal {A}},\mu )} and assume that {\displaystyle \lim _{n\to \infty }\int _{A}f_{n},円d\mu } exists for every {\displaystyle A\in {\mathcal {A}}}. Then, the sequence {\displaystyle (f_{n})} is bounded in {\displaystyle L^{1}(X,{\mathcal {A}},\mu )} and has uniformly absolutely continuous integrals. In addition, there exists {\displaystyle f\in L^{1}(X,{\mathcal {A}},\mu )} such that {\displaystyle \lim _{n\to \infty }\int _{A}f_{n},円d\mu =\int _{A}f,円d\mu } for every {\displaystyle A\in {\mathcal {A}}}.
When {\displaystyle \mu (X)<\infty }, this implies that {\displaystyle (f_{n})} is uniformly integrable.
For a proof, see Bogachev's monograph "Measure Theory, Volume I".[1]
Citations
[edit ]- ^ a b c Bogachev, Vladimir I. (2007). Measure Theory Volume I. New York: Springer. pp. 267–271. ISBN 978-3-540-34513-8.