Probability Mass of Rademacher Sums Beyond One Standard Deviation

preprint2022arXivOpen access

Abstract

Let a1,…,an∈Ra_1, \dots, a_n \in \mathbb{R} satisfy ∑iai2=1\sum_i a_i^2 = 1, and let ε1,…,εn\varepsilon_1, \ldots, \varepsilon_n be uniformly random ±1\pm 1 signs and X=∑i=1naiεiX = \sum_{i=1}^{n} a_i \varepsilon_i. It is conjectured that X=∑i=1naiεiX = \sum_{i=1}^{n} a_i \varepsilon_i has Pr⁡[X≥1]≥7/64\Pr[X \geq 1] \geq 7/64. The best lower bound so far is 1/201/20, due to Oleszkiewicz. In this paper we improve this to Pr⁡[X≥1]≥6/64\Pr[X \geq 1] \geq 6/64.

Explore this paper’s authors, topics and related work.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Reviews 0

Write a reviewWrite

No reviews yet.

Discussion 0

Add a commentWrite

No comments yet.