A few remarks on Riesz summability of orthogonal series

Author:

Szabłowski PawełJ.

Abstract

We study convergence behavior of some sequences and series related to a given orthogonal series. Following the developed technique we define (in terms of fourth mixed moments only) a class of orthonormal functions { X i } i 1 {\left \{ {{X_i}} \right \}_{i \geq 1}} such that the condition: k N i 1 μ i 2 ( ln ( k ) i ) 2 > \exists k \in \mathbb {N}\sum \nolimits _{i \geq 1} {\mu _i^2} {\left ( {{{\ln }^{\left ( k \right )}}i} \right )^2} > \infty implies almost everywhere convergence of the series i 1 μ i X i \sum \nolimits _{i \geq 1} {{\mu _i}{X_i}} , here for every i = 1 , 2 , , j = 1 , , k i = 1,2, \ldots ,j = 1, \ldots ,k , \[ ln ( 1 ) i = ln 2 i , ln ( j ) i = ln 2 ( max ( 1 , ln ( j 1 ) i ) ) . {\ln ^{(1)}}i = {\ln _2}i,\quad {\ln ^{(j)}}i = {\ln _2}(\max (1,{\ln ^{(j - 1)}}i)). \]

Publisher

American Mathematical Society (AMS)

Subject

Applied Mathematics,General Mathematics

Reference6 articles.

1. International Series of Monographs in Pure and Applied Mathematics, Vol. 20;Alexits, G.,1961

2. On the absolute Riesz summability of orthogonal series;Okuyama, Yasuo;Anal. Math.,1981

3. Stochastic approximation with dependent disturbances. I;Szabłowski, P. J.;Comput. Math. Appl.,1987

4. \bysame, Application of generalized laws of large numbers to the proper choice of amplification coefficients in stochastic approximation with correlated disturbances, Proc. of 3rd Kinston Conf., Lecture Notes in Pure and Appl. Math., vol. 44, Marcel Dekker, New York, 1978, pp. 223-243.

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