Estimates for the concentration functions of weighted sums of independent random variables

Abstract

Let $X,X_1,...,X_n$ be independent identically distributed random variables. The paper deals with the question about the behavior of the concentration function of the random variable ${\sum }_{k=1}^n{a}_k{X}_k$ according to the arithmetic structure of coefficients $a_k$. Recently the interest to this question has increased significantly due to the study of distributions of eigenvalues of random matrices. In this paper we formulate and prove some refinements of the results of Friedland and Sodin (2007) and Rudelson and Vershynin (2009).

arXiv commentsubmitted to Theory of Probability and its Applications

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