Long-Range Correlation of the Sine$_\beta$ point Process
Laure Dumaz, Martin Malvy

TL;DR
This paper investigates the decay of correlations in the Sine$_eta$ point process, revealing polynomial decay with an exponent related to $1/\beta$, and extends previous results to all positive $\beta$ and all $k$.
Contribution
It provides a general analysis of correlation decay in Sine$_\beta$ processes for all $\beta > 0$ and all $k$, advancing understanding of their asymptotic behavior.
Findings
Correlation functions decay polynomially with separation
Decay exponent scales as $1/\beta$ for large $\beta$
Results hold for all $\beta > 0$ and $k \geq 1$
Abstract
We study the correlations of the celebrated Sine point process. This point process arises as the bulk scaling limit of -ensembles and has a geometric description through the Brownian carousel, as shown by Valk\'o and Vir\'ag (2009). We establish that the averaged -point truncated correlation functions decay polynomially in the limit of large separation. We show that the decay exponent is of order for large . This is a step towards a conjecture by Forrester and Haldane regarding the exact asymptotics of the two-point correlation function, a problem recently addressed by Qu and Valk\'o (2025). Our proofs, which rely on a careful analysis of the coupling of diffusions associated with the Brownian carousel, hold for all and , significantly extending previous results limited to specific values of or .
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Taxonomy
TopicsRandom Matrices and Applications · Bayesian Methods and Mixture Models · Stochastic processes and statistical mechanics
