Scaling limits of stochastic models with Fast Absorption and Slow Escape

Claudio del Sole (Università bocconi di Milano)

28-Oct-2021, 15:00-15:30 (2 years ago)

Abstract: Autocatalytic reaction systems often exhibit a peculiar switching behaviour, due to random fluctuations and discreteness in the number of molecules, which produces the phenomenon of discreteness-induced transitions. The 2-dimensional version of a model proposed by Togashi and Kaneko (2001) is a prominent example of such patten. We analyze this model within a multiscale framework, in which fast autocatalytic cascades are triggered by much slower inflow and outflow reactions. Under suitable assumptions, we study the limit behaviour of the rescaled stochastic process, and prove weak convergence to a naturally arising piecewise-deterministic Markov process on the Skorohod space equipped with Jakubowsky S-topology. Building upon this model, we discuss extensions of such procedure to a larger family of autocatalytic reaction systems, in which a fast subsystem is rapidly absorbed into a set of absorbing states, occasionally giving rise to abrupt state switches of possibly random size.

algebraic geometrydynamical systemsprobability

Audience: researchers in the topic

( video )


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The organizers.

Organizers: Daniele Cappelletti*, Stefan Müller*, Tung Nguyen*, Polly Yu*
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