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Responsive dormancy in the Parabolic Anderson Model (PAM)
We study a two-type branching random walk in a random environment modeling dormancy and activity. Individuals switch states in response to a moving trap, modeled by a symmetric random walk. Using the Feynman-Kac formula and the parabolic Anderson model, we quantify how responsive dormancy influences long-term survival and population growth.
Date:
12 November 2025, 11:00
Venue:
24-29 St Giles', 24-29 St Giles' OX1 3LB
Venue Details:
Department of Statistics; Small lecture theatre
Speaker:
Leo Tyrpak (University of Oxford)
Organising department:
Department of Statistics
Part of:
Junior Probability Seminar
Booking required?:
Not required
Audience:
Members of the University only
Editor:
William Garrett
