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Kesten's bound for subexponential densities on the real line and its multi-dimensional analogues
Advances in Applied Probability, Volume: 50, Issue: 02, Pages: 373 - 395
Swansea University Author: Dmitri Finkelshtein
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DOI (Published version): 10.1017/apr.2018.18
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...
Published in: | Advances in Applied Probability |
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ISSN: | 0001-8678 1475-6064 |
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Applied Probability Trust/Cambridge University Press
2018
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URI: | https://cronfa.swan.ac.uk/Record/cronfa38336 |
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2021-02-23T14:03:27.3702808 v2 38336 2018-01-29 Kesten's bound for subexponential densities on the real line and its multi-dimensional analogues 4dc251ebcd7a89a15b71c846cd0ddaaf 0000-0001-7136-9399 Dmitri Finkelshtein Dmitri Finkelshtein true false 2018-01-29 SMA 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 R^d. The results are applied for the study of the fundamental solution to a nonlocal heat-equation. Journal Article Advances in Applied Probability 50 02 373 395 Applied Probability Trust/Cambridge University Press 0001-8678 1475-6064 sub-exponential densities; long-tail functions; heavy-tailed distributions; convolution tails; tail-equivalence; asymptotic behavior 30 6 2018 2018-06-30 10.1017/apr.2018.18 COLLEGE NANME Mathematics COLLEGE CODE SMA Swansea University 2021-02-23T14:03:27.3702808 2018-01-29T22:47:56.3291613 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Dmitri Finkelshtein 0000-0001-7136-9399 1 Pasha Tkachov 2 0038336-29012018225327.pdf FT-SubExp-AcceptedVersion.pdf 2018-01-29T22:53:27.5370000 Output 481761 application/pdf Accepted Manuscript true 2018-01-29T00:00:00.0000000 true eng |
title |
Kesten's bound for subexponential densities on the real line and its multi-dimensional analogues |
spellingShingle |
Kesten's bound for subexponential densities on the real line and its multi-dimensional analogues Dmitri Finkelshtein |
title_short |
Kesten's bound for subexponential densities on the real line and its multi-dimensional analogues |
title_full |
Kesten's bound for subexponential densities on the real line and its multi-dimensional analogues |
title_fullStr |
Kesten's bound for subexponential densities on the real line and its multi-dimensional analogues |
title_full_unstemmed |
Kesten's bound for subexponential densities on the real line and its multi-dimensional analogues |
title_sort |
Kesten's bound for subexponential densities on the real line and its multi-dimensional analogues |
author_id_str_mv |
4dc251ebcd7a89a15b71c846cd0ddaaf |
author_id_fullname_str_mv |
4dc251ebcd7a89a15b71c846cd0ddaaf_***_Dmitri Finkelshtein |
author |
Dmitri Finkelshtein |
author2 |
Dmitri Finkelshtein Pasha Tkachov |
format |
Journal article |
container_title |
Advances in Applied Probability |
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50 |
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02 |
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373 |
publishDate |
2018 |
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Swansea University |
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0001-8678 1475-6064 |
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10.1017/apr.2018.18 |
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Applied Probability Trust/Cambridge University Press |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics |
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description |
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 R^d. The results are applied for the study of the fundamental solution to a nonlocal heat-equation. |
published_date |
2018-06-30T03:48:29Z |
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1763752342817079296 |
score |
11.035634 |