Abstract
Consider the sum X(ξ)=∑i=1 naiξi, where a=(ai)i=1 n is a sequence of non-zero reals and ξ=(ξi)i=1 n is a sequence of i.i.d. Rademacher random variables (that is, Pr[ξi=1]=Pr[ξi=−1]=1/2). The classical Littlewood–Offord problem asks for the best possible upper bound on the concentration probabilities Pr[X=x]. In this paper we study a resilience version of the Littlewood–Offord problem: how many of the ξi is an adversary typically allowed to change without being able to force concentration on a particular value? We solve this problem asymptotically, and present a few interesting open problems.
Original language | English (US) |
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Pages (from-to) | 292-312 |
Number of pages | 21 |
Journal | Advances in Mathematics |
Volume | 319 |
DOIs | |
State | Published - Oct 15 2017 |
Keywords
- Anti-concentration
- Littlewood–Offord
- Resilience
ASJC Scopus subject areas
- General Mathematics