Non-abelian Littlewood–Offord inequalities

In 1943, Littlewood and Offord proved the first anti-concentration result for sums of independent random variables. Their result has since then been strengthened and generalised by generations of researchers, with applications in several areas of mathematics. In this paper, we present the first non-...

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Main Authors: Tiep, Pham H., Vu, Van H.
Other Authors: Univ Arizona, Dept Math
Language:en
Published: ACADEMIC PRESS INC ELSEVIER SCIENCE 2016
Subjects:
Online Access:http://hdl.handle.net/10150/621530
http://arizona.openrepository.com/arizona/handle/10150/621530
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6215302016-12-09T03:00:36Z Non-abelian Littlewood–Offord inequalities Tiep, Pham H. Vu, Van H. Univ Arizona, Dept Math Littlewood-Offord-Erdos theorem Anti-concentration inequalities In 1943, Littlewood and Offord proved the first anti-concentration result for sums of independent random variables. Their result has since then been strengthened and generalised by generations of researchers, with applications in several areas of mathematics. In this paper, we present the first non-abelian analogue of the Littlewood Offord result, a sharp anti-concentration inequality for products of independent random variables. (C) 2016 Elsevier Inc. All rights reserved. 2016-10 Article Non-abelian Littlewood–Offord inequalities 2016, 302:1233 Advances in Mathematics 00018708 10.1016/j.aim.2016.08.002 http://hdl.handle.net/10150/621530 http://arizona.openrepository.com/arizona/handle/10150/621530 Advances in Mathematics en http://linkinghub.elsevier.com/retrieve/pii/S0001870816309859 https://arxiv.org/abs/1506.01958 © 2016 Elsevier Inc. All rights reserved. ACADEMIC PRESS INC ELSEVIER SCIENCE
collection NDLTD
language en
sources NDLTD
topic Littlewood-Offord-Erdos theorem
Anti-concentration inequalities
spellingShingle Littlewood-Offord-Erdos theorem
Anti-concentration inequalities
Tiep, Pham H.
Vu, Van H.
Non-abelian Littlewood–Offord inequalities
description In 1943, Littlewood and Offord proved the first anti-concentration result for sums of independent random variables. Their result has since then been strengthened and generalised by generations of researchers, with applications in several areas of mathematics. In this paper, we present the first non-abelian analogue of the Littlewood Offord result, a sharp anti-concentration inequality for products of independent random variables. (C) 2016 Elsevier Inc. All rights reserved.
author2 Univ Arizona, Dept Math
author_facet Univ Arizona, Dept Math
Tiep, Pham H.
Vu, Van H.
author Tiep, Pham H.
Vu, Van H.
author_sort Tiep, Pham H.
title Non-abelian Littlewood–Offord inequalities
title_short Non-abelian Littlewood–Offord inequalities
title_full Non-abelian Littlewood–Offord inequalities
title_fullStr Non-abelian Littlewood–Offord inequalities
title_full_unstemmed Non-abelian Littlewood–Offord inequalities
title_sort non-abelian littlewood–offord inequalities
publisher ACADEMIC PRESS INC ELSEVIER SCIENCE
publishDate 2016
url http://hdl.handle.net/10150/621530
http://arizona.openrepository.com/arizona/handle/10150/621530
work_keys_str_mv AT tiepphamh nonabelianlittlewoodoffordinequalities
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