Eigenvalue-counting correlation asymptotics for white-noise Schrödinger operators

Let N(λ)N(\lambda) be the eigenvalue counting function of the Schrödinger operator considered in the paper, and define

χ(λ,μ)=Corr[N(λ),N(μ)]=Cov[N(λ),N(μ)]Var[N(λ)]Var[N(μ)].\chi(\lambda,\mu)=\operatorname{Corr}[N(\lambda),N(\mu)]=\frac{\operatorname{Cov}[N(\lambda),N(\mu)]}{\sqrt{\operatorname{Var}[N(\lambda)]\operatorname{Var}[N(\mu)]}}.

Here κ\kappa is the parameter appearing in the model. The eigenvalue-counting correlation conjecture. For d=1,2,3d=1,2,3, as (λ,μ)(\lambda,\mu)\to\infty, the correlation χ(λ,μ)\chi(\lambda,\mu) is asymptotic to an explicit function of min{λ,μ}\min\{\lambda,\mu\}, max{λ,μ}\max\{\lambda,\mu\}, dd, and κ\kappa. This is motivated by the paper's correlation-scaling result and an informal Abelian/Tauberian relation; determining the explicit asymptotic requires estimates for eigenvalue-counting variances and covariances, and the conjecture remains open.

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Primary source

Youssef Djellouli and Pierre Yves Gaudreau Lamarre, “Optimal Covariance Estimates for Schrödinger Semigroups with White Noise in d=1,2”, arXiv:2607.17393 (2026).

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