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Random matrix ensembles with split limiting behavior

  • Paula Burkhardt
  • , Peter Cohen
  • , Jonathan Dewitt
  • , Max Hlavacek
  • , Steven J. Miller
  • , Carsten Sprunger
  • , Yen Nhi Truong Vu
  • , Roger Van Peski
  • , Kevin Yang
  • Bowdoin College
  • Haverford College
  • Harvey Mudd College
  • Williams College
  • University of Michigan, Ann Arbor
  • Amherst College
  • Princeton University
  • Harvard University

Research output: Contribution to journalArticlepeer-review

Abstract

We introduce a new family of N × N random real symmetric matrix ensembles, the k-checkerboard matrices, whose limiting spectral measure has two components which can be determined explicitly. All but k eigenvalues are in the bulk, and their behavior, appropriately normalized, converges to the semi-circle as N →∞; the remaining k are tightly constrained near N/k and their distribution converges to the k × k hollow GOE ensemble (this is the density arising by modifying the GOE ensemble by forcing all entries on the main diagonal to be zero). Similar results hold for complex and quaternionic analogues. We are able to isolate each regime separately through appropriate choices of weight functions for the eigenvalues and then an analysis of the resulting combinatorics.

Original languageEnglish
Article number1850006
JournalRandom Matrices: Theory and Application
Volume7
Issue number3
DOIs
StatePublished - Jul 1 2018

Keywords

  • Gaussian orthogonal ensemble
  • Gaussian symplectic ensemble
  • Gaussian unitary ensemble
  • Random matrix ensembles
  • checkerboard matrices
  • limiting spectral measure

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