Divergence conditions for Riesz means of Rademacher functions

Some of the divergence conditions for Riesz means of Rademacher functions have been determined. A condition was provided as a criterion for at least one diverging sequence to be summable by the Riesz method. The Rademacher functions can be regarded as independent random variables on the specific probability space with the usual Lebesgue measure. To prove the divergence of a specific number sequence on a set of positive measures, an assertion on the means of Rademacher functions obtained by an arbitrary summation method was considered.

Authors
Number of issue
2
Language
English
Pages
186-188
Status
Published
Volume
77
Year
2008
Organizations
  • 1 Department of Mathematical Analysis and Function Theory, Peoples' Friendship University of Russia, ul. Ordzhonikidze 3, Moscow 117198, Russian Federation
Keywords
Functional analysis; Numerical methods; Problem solving; Theorem proving; Divergence conditions; Rademacher functions; Riesz means; Function evaluation
Share

Other records