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Hilbert space; orthogonality; ergodic theorem
This note deals with the orthogonality between sequences of random variables. The main idea of the note is to apply the results on equidistant systems of points in a Hilbert space to the case of the space $L^2(\Omega ,\mathcal F,\mathbb P)$ of real square integrable random variables. The main result gives a necessary and sufficient condition for a particular sequence of random variables (elements of which are taken from sets of equidistant elements of $L^2(\Omega ,\mathcal F,\mathbb P)$) to be orthogonal to some other sequence in $L^2(\Omega ,\mathcal F,\mathbb P)$. The result obtained is interesting from the point of view of the time series analysis, since it can be applied to a class of sequences random variables that exhibit a monotonically increasing variance. An application to ergodic theorem is also provided.
[1] Wermuth, E. M. E.: A remark on equidistance in Hilbert spaces. Linear Algebra Appl. 236 (1996), 105-111. MR 1375608 | Zbl 0843.46015
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