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Space-time approximation of stochastic $p$-Laplace systems

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arxiv 1904.03134 v3 pith:KAC6XTS5 submitted 2019-04-05 math.AP

classification math.AP
keywords convergencealphaapproximationlaplaceregularityspace-timestochasticsystems
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abstract

We consider systems of stochastic evolutionary equations of the $p$-Laplace type. We establish convergence rates for a finite-element based space-time approximation, where the error is measured in a suitable quasi-norm. Under natural regularity assumptions on the solution, our main result provides linear convergence in space and convergence of order $\alpha$ in time for all $\alpha\in(0,\frac{1}{2})$. The key ingredient of our analysis is a random time-grid, which allows us to compensate for the lack of time regularity. Our theoretical results are confirmed by numerical experiments.

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  1. Convergence rate for Galerkin approximation of the stochastic Allen-Cahn equations on 2D torus

    math.PR 2019-08 conditional novelty 7.0 of 10

    For the 2D stochastic Allen-Cahn equation, the Galerkin approximation converges in a negative Besov space with rate N^{-(α-δ)} for any α in (0,2/9) and δ>0.

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