English

Kesten's bound for sub-exponential densities on the real line and its multi-dimensional analogues

Probability 2018-02-26 v2 Analysis of PDEs Classical Analysis and ODEs

Abstract

We study the tail asymptotic of sub-exponential probability densities on the real line. Namely, we show that the n-fold convolution of a sub-exponential probability density on the real line is asymptotically equivalent to this density times n. We prove Kesten's bound, which gives a uniform in n estimate of the n-fold convolution by the tail of the density. We also introduce a class of regular sub-exponential functions and use it to find an analogue of Kesten's bound for functions on Rd\mathbb{R}^d. The results are applied for the study of the fundamental solution to a nonlocal heat-equation.

Keywords

Cite

@article{arxiv.1704.05829,
  title  = {Kesten's bound for sub-exponential densities on the real line and its multi-dimensional analogues},
  author = {Dmitri Finkelshtein and Pasha Tkachov},
  journal= {arXiv preprint arXiv:1704.05829},
  year   = {2018}
}

Comments

The paper contains materials which were previously included to the first version of the publication arXiv:1611.09329 [math.AP]. A condensed version is to appear in Adv.Appl.Prob