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Eigenvalue confinement and spectral gap for random simplicial complexes

Antti Knowles, Ron Rosenthal

Research output: Contribution to journalArticlepeer-review

Abstract

We consider the adjacency operator of the Linial-Meshulam model for random simplicial complexes on n vertices, where each d-cell is added independently with probability p to the complete (d − 1)-skeleton. Under the assumption np(1 − p) » log4 n, we prove that the spectral gap between the (n-1d) smallest eigenvalues and the remaining (n-1d-1) eigenvalues is np − 2√dnp(1 − p) (1 + o(1)) with high probability. This estimate follows from a more general result on eigenvalue confinement. In addition, we prove that the global distribution of the eigenvalues is asymptotically given by the semicircle law. The main ingredient of the proof is a Füredi-Komlós-type argument for random simplicial complexes, which may be regarded as sparse random matrix models with dependent entries.

Original languageEnglish
Pages (from-to)506-537
Number of pages32
JournalRandom Structures and Algorithms
Volume51
Issue number3
DOIs
StatePublished - Oct 2017

Keywords

  • #random simplicial complexes
  • Linial Meshulam model
  • random matrices
  • spectral gap

All Science Journal Classification (ASJC) codes

  • Software
  • General Mathematics
  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics

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