Symplectic n-level densities with restricted support

Amy Mason, Nina Snaith

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)
254 Downloads (Pure)

Abstract

In this paper we demonstrate that the alternative form, derived by us in an earlier paper, of the n-level densities for eigenvalues of matrices from the classical compact group USp(2N) is far better suited for comparison with derivations of the n-level densities of zeros in the family of Dirichlet L-functions associated with real quadratic characters than the traditional determinantal random matrix formula. Previous authors have found ingenious proofs that the leading order term of the n-level density of the zeros agrees with the determinantal random matrix result under certain conditions, but here we show that comparison is more straightforward if the more suitable form of the random matrix result is used. For the support of the test function in [1,-1] and in [-2,2] we compare with existing number theoretical results. For support in [-3,3] no rigorous number theoretical result is known for the n-level densities, but we derive the densities here using random matrix theory in the hope that this may make the path to a rigorous number theoretical result clearer.
Original languageEnglish
Article number1650013
Number of pages36
JournalRandom Matrices: Theory and Applications
Volume5
Issue number4
Early online date20 Oct 2016
DOIs
Publication statusPublished - Oct 2016

Keywords

  • Random matrix theory
  • Dirichlet L-functions
  • n-level densities

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