English

Convolution invariant linear functionals and applications to summability methods

Functional Analysis 2020-07-23 v2

Abstract

We study topologically invariant means on L(R)L^{\infty}(\mathbb{R}), 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 L(R)L^{\infty}(\mathbb{R}), and a Tauberian theorem concerning almost convergence and a summability method defined by a Wiener kernel is obtained. Further, for the CC_{\infty} 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 CC_{\infty} summable.

Keywords

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

R2 v1 2026-06-23T14:15:21.274Z