Global rigidity lower bounds for the Pearcey process

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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.

lim⁡s→∞P(sup⁡x>s∣N(x)−(334πx43−3ρ2πx23)log⁡x∣≥423π−ϵ)=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, lim⁡k0→∞P(sup⁡k≥k0∣334πxk43−3ρ2πxk23−k∣log⁡k≥2π−ϵ)=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.

References

Primary source

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

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