Anticipated synchronization in stochastic individual-based models.
Anticipated Synchronization is a surprising phenomenon in which one system appears to predict the future state of another through purely causal interactions. While this effect has been extensively studied in deterministic systems, in this talk we explore how it emerges in stochastic agent-based models with delayed interactions. Using stochastic versions of the Brusselator model, we analyze different ways of implementing delayed reactions and show that synchronization can persist even in regimes dominated by intrinsic noise. In particular, we find that noise-induced oscillations can also display anticipatory behavior, and we compare analytical predictions with stochastic simulations. These results extend the concept of anticipated synchronization to a broader class of systems relevant to statistical physics, chemical kinetics, and population dynamics.
This Annual PhD student seminar will be broadcasted in the following zoom link: https://us06web.zoom.us/j/89027654460?pwd=Wg9TYMPqqP2ipfj2JVvEagmzaTw29c.1
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