Stochastic turing patterns on a network

Malbor Asllani, Francesca Di Patti, Duccio Fanelli

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The process of stochastic Turing instability on a scale-free network is discussed for a specific case study: the stochastic Brusselator model. The system is shown to spontaneously differentiate into activator-rich and activator-poor nodes outside the region of parameters classically deputed to the deterministic Turing instability. This phenomenon, as revealed by direct stochastic simulations, is explained analytically and eventually traced back to the finite-size corrections stemming from the inherent graininess of the scrutinized medium.

langue originaleAnglais
Numéro d'article046105
journalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Numéro de publication4
Les DOIs
Etat de la publicationPublié - 12 oct. 2012
Modification externeOui

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