Determinantal random point fields

Type: Article

Publication Date: 2000-10-31

Citations: 396

DOI: https://doi.org/10.1070/rm2000v055n05abeh000321

Abstract

This paper contains an exposition of both recent and rather old results on determinantal random point fields. We begin with some general theorems including proofs of necessary and sufficient conditions for the existence of a determinantal random point field with Hermitian kernel and of a criterion for weak convergence of its distribution. In the second section we proceed with examples of determinantal random fields in quantum mechanics, statistical mechanics, random matrix theory, probability theory, representation theory, and ergodic theory. In connection with the theory of renewal processes, we characterize all Hermitian determinantal random point fields on and with independent identically distributed spacings. In the third section we study translation-invariant determinantal random point fields and prove the mixing property for arbitrary multiplicity and the absolute continuity of the spectra. In the last section we discuss proofs of the central limit theorem for the number of particles in a growing box and of the functional central limit theorem for the empirical distribution function of spacings.

Locations

  • Russian Mathematical Surveys - View
  • arXiv (Cornell University) - View - PDF
  • CiteSeer X (The Pennsylvania State University) - View - PDF
  • DataCite API - View

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