Effective hyperuniformity in time-integrated stochastic Turing patterns

Anirban Mukherjee; Hong-Yan Shih

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arXiv · 2606.23677

Effective hyperuniformity in time-integrated stochastic Turing patterns

Anirban Mukherjee·Hong-Yan Shih

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Abstract

Demographic noise generates stochastic Turing patterns even when reaction-diffusion systems are deterministically stable. We show analytically and verify numerically in the Levin-Segel model that temporal integration of configurations reveals emergent large-scale organization. The intensive number variance in a window of size $R \gg 1$ approaches a finite reaction-kinetic floor as $1/R$, over a spatial range growing by orders of magnitude near the Turing instability. This yields an effectively hyperuniform, fine-tuning-free regime previously unidentified in non-conserved multispecies stochastic systems.

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Anirban Mukherjee, Hong-Yan Shih. 2026-06-22. Effective hyperuniformity in time-integrated stochastic Turing patterns. https://arxiv.org/abs/2606.23677

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