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Numerical Ergodicity of Monotone SDEs Driven by Multiplicative Noise

Professor Zhihui LIU
Date & Time
29 Aug 2024 (Thu) | 03:00 PM - 04:00 PM
Venue
Y5-205, Yeung Kin Man Academic Building

ABSTRACT

We establish the unique ergodicity of the Markov chain generated by the stochastic theta method (STM) with \theta \in [1/2, 1] for monotone SODEs and SPDEs driven by multiplicative noise. The main ingredient of the arguments lies in constructing new Lyapunov functions involving the coefficients, the stepsize, and \theta, and the irreducibility and the strong Feller property for the STM. We also generalize the arguments to a class of monotone SPDEs driven by infinite-dimensional nondegenerate multiplicative trace-class noise. Applying these results to the stochastic Allen-Cahn equation indicates that its drift-implicit Euler scheme is uniquely ergodic for any interface thickness.

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