Duke Probability Seminar
A seminar for the probability community at Duke, both in and outside of the Mathematics Department.
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Upcoming Seminars:
- Thursday, March 21, 2024, 3:15pm, Physics 119, Probability Seminar
Generalized Front Propagation for Stochastic Spatial Models
Jessica Lin (McGill University, Mathematics)
- 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 examples of 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 (Bath).
- Thursday, April 4, 2024, 3:15pm, Physics 119, Probability Seminar
TBA
Shira Faigenbaum-Golovin (Duke, Mathematics)
- Thursday, April 11, 2024, 3:15pm, Physics 119, Probability Seminar
TBD
Amarjit Budhiraja (UNC Chapel Hill, Statistics and Operations Research)
- Thursday, April 25, 2024, 3:15pm, Physics 119, Probability Seminar
TBA
Kevin Yang (Harvard University)
- Friday, April 26, 2024, 12:00pm, Physics 119, Mathematical Biology Seminar
TBA
Samuel Isaacson (Boston University, Mathematics and Statistics)
- TBA
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