Vitali convergence theorem

{{Short description|Mathematical 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

Let (X,\mathcal{A},\mu) be a measure space, i.e. \mu : \mathcal{A}\to [0,\infty] is a set function such that \mu(\emptyset)=0 and \mu is countably-additive. All functions considered in the sequel will be functions f:X\to \mathbb{K}, where \mathbb{K}=\R or \mathbb{C}. We adopt the following definitions according to Bogachev's terminology.{{Cite book|last=Bogachev|first=Vladimir I.|title=Measure Theory Volume I|publisher=Springer|year=2007|isbn=978-3-540-34513-8|location=New York|pages=267-271}}

  • A set of functions \mathcal{F} \subset L^1(X,\mathcal{A},\mu) is called uniformly integrable if \lim_{M\to+\infty} \sup_{f\in\mathcal{F}} \int_{\{|f|>M\}} |f|\, d\mu = 0, i.e \forall\ \varepsilon >0,\ \exists\ M_\varepsilon>0

: \sup_{f\in\mathcal{F}} \int_{\{|f|\geq M_\varepsilon\}} |f|\, d\mu < \varepsilon.

  • A set of functions \mathcal{F} \subset L^1(X,\mathcal{A},\mu) is said to have uniformly absolutely continuous integrals if \lim_{\mu(A)\to 0}\sup_{f\in\mathcal{F}} \int_A |f|\, d\mu = 0, i.e. \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|\, 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 \mu(X)<\infty, a set of functions \mathcal{F} \subset L^1(X,\mathcal{A},\mu) is uniformly integrable if and only if it is bounded in L^1(X,\mathcal{A},\mu) and has uniformly absolutely continuous integrals. If, in addition, \mu is atomless, then the uniform integrability is equivalent to the uniform absolute continuity of integrals.

Finite measure case

Let (X,\mathcal{A},\mu) be a measure space with \mu(X)<\infty. Let (f_n)\subset L^p(X,\mathcal{A},\mu) and f be an \mathcal{A}-measurable function. Then, the following are equivalent :

  1. f\in L^p(X,\mathcal{A},\mu) and (f_n) converges to f in L^p(X,\mathcal{A},\mu) ;
  2. The sequence of functions (f_n) converges in \mu-measure to f and (|f_n|^p)_{n\geq 1} is uniformly integrable ;

For a proof, see Bogachev's monograph "Measure Theory, Volume I".

Infinite measure case

Let (X,\mathcal{A},\mu) be a measure space and 1\leq p<\infty. Let (f_n)_{n\geq 1} \subseteq L^p(X,\mathcal{A},\mu) and f\in L^p(X,\mathcal{A},\mu). Then, (f_n) converges to f in L^p(X,\mathcal{A},\mu) if and only if the following holds :

  1. The sequence of functions (f_n) converges in \mu-measure to f ;
  2. (f_n) has uniformly absolutely continuous integrals;
  3. For every \varepsilon>0, there exists X_\varepsilon\in \mathcal{A} such that \mu(X_\varepsilon)<\infty and \sup_{n\geq 1}\int_{X\setminus X_\varepsilon} |f_n|^p\, d\mu <\varepsilon.

When \mu(X)<\infty, the third condition becomes superfluous (one can simply take 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 (|f_n|^p)_{n\geq 1} is uniformly integrable.

Converse of the theorem

Let (X,\mathcal{A},\mu) be measure space. Let (f_n)_{n\geq 1} \subseteq L^1(X,\mathcal{A},\mu) and assume that \lim_{n\to\infty}\int_A f_n\,d\mu exists for every A\in\mathcal{A}. Then, the sequence (f_n) is bounded in L^1(X,\mathcal{A},\mu) and has uniformly absolutely continuous integrals. In addition, there exists f\in L^1(X,\mathcal{A},\mu) such that \lim_{n\to\infty}\int_A f_n\,d\mu = \int_A f\, d\mu for every A\in\mathcal{A}.

When \mu(X)<\infty, this implies that (f_n) is uniformly integrable.

For a proof, see Bogachev's monograph "Measure Theory, Volume I".

Citations

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{{Measure theory}}

Category:Theorems in measure theory