Global rigidity lower bounds for the Pearcey process

Let N(x)N(x) be the Pearcey process counting function, let xkx_k denote its ordered points, and let ρ\rho be the parameter appearing in the deterministic asymptotics. For any ϵ>0\epsilon>0, the following two lower bounds hold:

Global rigidity lower-bound conjecture.

limsP(supx>sN(x)(334πx433ρ2πx23)logx423πϵ)=1,\lim_{s\to\infty}\mathbb P\left(\sup_{x>s}\left|\frac{N(x)-\left(\frac{3\sqrt{3}}{4\pi}x^{\frac{4}{3}}-\frac{\sqrt{3}\rho}{2\pi}x^{\frac{2}{3}}\right)}{\log x}\right|\geq\frac{4\sqrt{2}}{3\pi}-\epsilon\right)=1, limk0P(supkk0334πxk433ρ2πxk23klogk2πϵ)=1.\lim_{k_0\to\infty}\mathbb P\left(\sup_{k\geq k_0}\frac{\left|\frac{3\sqrt{3}}{4\pi}x_k^{\frac{4}{3}}-\frac{\sqrt{3}\rho}{2\pi}x_k^{\frac{2}{3}}-k\right|}{\log k}\geq\frac{\sqrt{2}}{\pi}-\epsilon\right)=1.

These conjectured bounds assert sharp logarithmic-scale fluctuations for both the counting function and the locations of the Pearcey process points, complementing the corresponding upper bounds. Their status is not resolved in the supplied source context.

Sources & referencesView supporting material

Primary source

Christophe Charlier, “Upper bounds for the maximum deviation of the Pearcey process”, arXiv:2009.13225 (2021).

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