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Mörters, Peter - Department of Mathematical Sciences, University of Bath
Continuous time Markov chains As before we assume that we have a finite or countable statespace I, but now the Markov chains
Discrete time Markov chains In this course we consider a class of stochastic processes called Markov chains. The course is roughly
PROBABILITY 2B MA20225: Solution Sheet Four
Ergodicity of Stochastic Mean Curvature Flow in (1+1)-Dimension
Stochastic perturbations of the AllenCahn Matthias Rger
Invariant measures for the stochastic Allen-Cahn equation on large domains
Mathematics Institute Centre for Scientific Computing Biomembranes with Phase Separation
Mathematics Institute Centre for Scientific Computing Biomembranes with Phase Separation
Low-temperature dynamics of 2D Ising Fabio Toninelli (CNRS, ENS Lyon)
Approximate Lifshitz law for the zero-temperature stochastic Ising model in dimension d 4
Directed random walk on the directed percolation cluster Matthias Birkner
Front motion Dirk Blomker
Mean curvature flow in heterogeneous media Matteo Novaga