A Stochastic Analysis of Particle Systems with Pairing

Philippe Robert (INRIA)

23-May-2024, 15:00-15:30 (18 months ago)

Abstract: Motivated by a general principle governing regulation mechanisms in biological cells, we investigate a general interaction scheme between different populations of particles and specific particles, referred to as agents. Particles and agents may bind and form a pair which may have some specific functional properties. A pair splits after some random amount of time. In a stochastic context, with a set of J different types of particles, using a Markovian model for the vector of the number of paired particles, we study the asymptotic behavior of the time evolution of the number of paired particles with the total number of particles used as a scaling parameter. The analysis of the time evolution of this chemical reaction network is done via the proof of an averaging principle with three timescales. This is a joint work with Vincent Fromion and Jana Zaherddine.

algebraic geometrydynamical systemsprobability

Audience: researchers in the topic

( video )


Seminar on the Mathematics of Reaction Networks

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This seminar series focuses on progress in mathematical theory for the study of reaction networks, mainly in biology and chemistry. The scope is broad and accommodates works arising from dynamical systems, stochastics, algebra, topology and beyond.

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The organizers.

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