Komlós' theorem is a theorem from probability theory and mathematical analysis about the Cesàro convergence of a subsequence of random variables (or functions) and their subsequences to an integrable random variable (or function). It's also an existence theorem for an integrable random variable (or function). There exist a probabilistic and an analytical version for finite measure spaces.
The theorem was proven in 1967 by János Komlós.[1] There exists also a generalization from 1970 by Srishti D. Chatterji.[2]
Komlós' theorem
editProbabilistic version
editLet be a probability space and be a sequence of real-valued random variables defined on this space with
Then there exists a random variable and a subsequence , such that for every arbitrary subsequence when then
Analytic version
editLet be a finite measure space and be a sequence of real-valued functions in and . Then there exists a function and a subsequence such that for every arbitrary subsequence if then
Explanations
editSo the theorem says, that the sequence and all its subsequences converge in Césaro.
Literature
edit- Kabanov, Yuri & Pergamenshchikov, Sergei. (2003). Two-scale stochastic systems. Asymptotic analysis and control. 10.1007/978-3-662-13242-5. Page 250.
References
edit- ^ János Komlós (1967). "A Generalisation of a Problem of Steinhaus". Acta Mathematica Academiae Scientiarum Hungaricae. 18 (1). doi:10.1007/BF02020976.
- ^ S. D. Chatterji (1970). "A general strong law". Inventiones Mathematicae. 9: 235–245. doi:10.1007/BF01404326.