arXiv:1203.5520 [math.PR]AbstractReferencesReviewsResources
Estimates for the concentration functions of weighted sums of independent random variables
Yu. S. Eliseeva, A. Yu. Zaitsev
Published 2012-03-25Version 1
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).
Comments: submitted to Theory of Probability and its Applications
Journal: Theory of Probability and its Applications, v. 57, no. 4 (2013), 670-678
Categories: math.PR
Keywords: independent random variables, concentration function, weighted sums, independent identically distributed random variables, paper deals
Tags: journal article
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