A NEW VERSION OF UNIFORM INTEGRABILITY VIA POWER SERIES SUMMABILITY METHODS*

CABRERA M. O. R. D. O. N. E. Z., ROSALSKY A., UNVER M., VOLODIN A.

THEORY OF PROBABILITY AND ITS APPLICATIONS, vol.67, no.1, pp.89-104, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 67 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.1137/s0040585x97t990770
  • Journal Name: THEORY OF PROBABILITY AND ITS APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Aerospace Database, Agricultural & Environmental Science Database, MathSciNet, zbMATH, DIALNET
  • Page Numbers: pp.89-104
  • Keywords: uniform integrability, power series summability method, L-1 -convergence, STATISTICAL CONVERGENCE, WEIGHTED SUMS, APPROXIMATION, OPERATORS, THEOREMS, SPACES, LAW
  • Ankara University Affiliated: Yes

Abstract

Uniform integrability is an interesting concept in probability theory and functional analysis since it plays an important role in establishing laws of large numbers. In the literature, there are several versions of uniform integrability. Some are defined with the help of matrix summability methods, such as the Ces??ro matrix, or more general methods. In this paper, we introduce a new version of uniform integrability via power series summability methods. We investigate the relationships of this new concept with some previous concepts and give L1- and L2-convergence results for the laws of large numbers.