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  • 标题:Singularity of Random Integer Matrices with Large Entries
  • 本地全文:下载
  • 作者:Karingula, Sankeerth Rao ; Lovett, Shachar
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2021
  • 卷号:207
  • DOI:10.4230/LIPIcs.APPROX/RANDOM.2021.33
  • 语种:English
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We study the singularity probability of random integer matrices. Concretely, the probability that a random n × n matrix, with integer entries chosen uniformly from {-m,…,m}, is singular. This problem has been well studied in two regimes: large n and constant m; or large m and constant n. In this paper, we extend previous techniques to handle the regime where both n,m are large. We show that the probability that such a matrix is singular is m^{-cn} for some absolute constant c > 0. We also provide some connections of our result to coding theory.
  • 关键词:Coding Theory;Random matrix theory;Singularity probability MDS codes;Error correction codes;Littlewood Offord;Fourier Analysis
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