The logarithmic correlation-decay threshold for Poisson approximation of largest gaps

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Let ff be a smooth stationary Gaussian process, let K(r)K(r) denote its correlation function, and let the Poisson approximation refer to the approximation for the locations and sizes of its largest gaps. There exists a γ0>0\gamma_0>0 such that the Poisson approximation is valid for every smooth SGP satisfying

K(r)(log⁡r)γ′→0K(r)(\log r)^{\gamma'}\to 0

as r→∞r\to\infty for some γ′>γ0\gamma'>\gamma_0, but not necessarily if

K(r)(log⁡r)γ′→∞K(r)(\log r)^{\gamma'}\to\infty

as r→∞r\to\infty for some γ′<γ0\gamma'<\gamma_0. Logarithmic correlation-decay threshold conjecture. There exists a threshold exponent γ0>0\gamma_0>0 separating a regime in which the Poisson approximation holds for all such smooth stationary Gaussian processes from a regime in which it need not hold. The paper establishes the Poisson approximation under stronger decay assumptions, while the precise threshold and the possible failure below it remain open.

References

Primary source

Renjie Feng and Stephen Muirhead, “Poisson approximation of the largest gaps between zeros of a stationary Gaussian process”, arXiv:2605.22146 (2026).

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