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Tokyo Probability Seminar
Seminar information archive ～06/18｜Next seminar｜Future seminars 06/19～
| Date, time & place | Monday 16:00 - 17:30 126Room #126 (Graduate School of Math. Sci. Bldg.) |
|---|---|
| Organizer(s) | Makiko Sasada, Shuta Nakajima, Masato Hoshino |
2025/07/03
16:00-17:30 Room #128 (Graduate School of Math. Sci. Bldg.)
The classroom is 128. This is a joint seminar with the Applied Analysis Seminar. No teatime today.
Jessica Lin (McGill University)
Generalized Front Propagation for Stochastic Spatial Models
The classroom is 128. This is a joint seminar with the Applied Analysis Seminar. No teatime today.
Jessica Lin (McGill University)
Generalized Front Propagation for Stochastic Spatial Models
[ Abstract ]
In this talk, I will present a general framework which can be used to analyze the scaling limits of various stochastic spatial "population" models. Such models include ternary Branching Brownian motion subject to majority voting and several interacting particle systems motivated by biology. The approach is based on moment duality and a PDE methodology introduced by Barles and Souganidis, which can be used to study the asymptotic behaviour of rescaled reaction-diffusion equations. In the limit, the models exhibit phase separation with an evolving interface which is governed by a global-in-time, generalized notion of mean-curvature flow. This talk is based on joint work with Thomas Hughes (University of Bath).
In this talk, I will present a general framework which can be used to analyze the scaling limits of various stochastic spatial "population" models. Such models include ternary Branching Brownian motion subject to majority voting and several interacting particle systems motivated by biology. The approach is based on moment duality and a PDE methodology introduced by Barles and Souganidis, which can be used to study the asymptotic behaviour of rescaled reaction-diffusion equations. In the limit, the models exhibit phase separation with an evolving interface which is governed by a global-in-time, generalized notion of mean-curvature flow. This talk is based on joint work with Thomas Hughes (University of Bath).
