Convolution invariant linear functionals and applications to summability methods
Functional Analysis
2020-07-23 v2
Abstract
We study topologically invariant means on , the set of all essentially bounded functions on the real line, and prove that invariance with respect to a single convolution operator is sufficient for a mean to be topologically invariant. We also consider some applications of this result to summability methods. In particular, the notion of almost convergence is introduced for a function in , and a Tauberian theorem concerning almost convergence and a summability method defined by a Wiener kernel is obtained. Further, for the summability method, which is defined by the limit of H\"{o}lder summability methods, we provide a necessary and sufficient condition for a given function to be summable.
Cite
@article{arxiv.2003.06876,
title = {Convolution invariant linear functionals and applications to summability methods},
author = {Ryoichi Kunisada},
journal= {arXiv preprint arXiv:2003.06876},
year = {2020}
}
Comments
30 pages