Giant amplification of noise in fluctuation-induced pattern formation

Abstract

The amplitude of fluctuation-induced patterns might be expected to be proportional to the strength of the driving noise, suggesting that such patterns would be difficult to observe in nature. Here, we show that a large class of spatially-extended dynamical systems driven by intrinsic noise can exhibit giant amplification, yielding patterns whose amplitude is comparable to that of deterministic Turing instabilities. The giant amplification results from the interplay between noise and non-orthogonal eigenvectors of the linear stability matrix, yielding transients that grow with time, and which, when driven by the ever-present intrinsic noise, lead to persistent large amplitude patterns. This mechanism provides a robust basis for fluctuation-induced biological pattern formation based on the Turing mechanism, without requiring fine tuning of diffusion constants.

References in corpus (8)

• Predator-prey cycles from resonant amplification of demographic stochasticity
• Stochastic Turing patterns in the Brusselator model
• Robust ecological pattern formation induced by demographic noise
• Phase Transitions and Spatio-Temporal Fluctuations in Stochastic Lattice Lotka-Volterra Models
• Fluctuation-driven Turing patterns
• A noise-induced mechanism for biological homochirality of early life self-replicators
• Scaling and regeneration of self-organized patterns
• Patchiness and Demographic Noise in Three Ecological Examples

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