Number variance for homogeneous determinantal processes on hyperbolic spaces

We consider an abstract determinantal point process on a general non--elementary Gromov hyperbolic metric space governed by an orthogonal projection in the case when the space is homogeneous and the point process is invariant under isometries. We give a lower bound of the variance of the number of points inside a ball that is proportional to the volume of the ball. In particular, such point processes are never hyperuniform. Our result applies to the known examples of radial determinantal point processes on Cayley trees and on the standard hyperbolic spaces governed by Bergman projection kernels.

Publication Details

Journal
ArXiv.org
Published
2025-03-24
Primary Topic
Random Matrices and Applications
Type
article
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article

Number variance for homogeneous determinantal processes on hyperbolic spaces

ArXiv.org
Random Matrices and Applications
article

Number variance for homogeneous determinantal processes on hyperbolic spaces

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Abstract

We consider an abstract determinantal point process on a general non--elementary Gromov hyperbolic metric space governed by an orthogonal projection in the case when the space is homogeneous and the point process is invariant under isometries. We give a lower bound of the variance of the number of points inside a ball that is proportional to the volume of the ball. In particular, such point processes are never hyperuniform. Our result applies to the known examples of radial determinantal point processes on Cayley trees and on the standard hyperbolic spaces governed by Bergman projection kernels.

ArXiv.org
Openalex Percentile: Top 46%
Random Matrices and Applications
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Number variance for homogeneous determinantal processes on hyperbolic spaces · ArXiv.org (2025) | TGRS Research Map | TGRS