English

Determinantal point processes with J-Hermitian correlation kernels

Probability 2013-07-25 v4

Abstract

Let X be a locally compact Polish space and let m be a reference Radon measure on X. Let ΓX\Gamma_X denote the configuration space over X, that is, the space of all locally finite subsets of X. A point process on X is a probability measure on ΓX\Gamma_X. A point process μ\mu is called determinantal if its correlation functions have the form k(n)(x1,,xn)=det[K(xi,xj)]i,j=1,,nk^{(n)}(x_1,\ldots,x_n)=\det[K(x_i,x_j)]_{i,j=1,\ldots,n}. The function K(x,y) is called the correlation kernel of the determinantal point process μ\mu. Assume that the space X is split into two parts: X=X1X2X=X_1\sqcup X_2. A kernel K(x,y) is called J-Hermitian if it is Hermitian on X1×X1X_1\times X_1 and X2×X2X_2\times X_2, and K(x,y)=K(y,x)K(x,y)=-\overline{K(y,x)} for xX1x\in X_1 and yX2y\in X_2. We derive a necessary and sufficient condition of existence of a determinantal point process with a J-Hermitian correlation kernel K(x,y).

Keywords

Cite

@article{arxiv.1104.4917,
  title  = {Determinantal point processes with J-Hermitian correlation kernels},
  author = {Eugene Lytvynov},
  journal= {arXiv preprint arXiv:1104.4917},
  year   = {2013}
}

Comments

Published in at http://dx.doi.org/10.1214/12-AOP795 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-21T17:58:48.960Z