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Piecewise linear approximation for the dynamical $\Phi^4_3$ model

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arxiv 1504.04143 v2 pith:2QM3WKLE submitted 2015-04-16 math.PR math.AP

classification math.PRmath.AP
keywords dynamicalmodelhai14linearpiecewiseapproximatingapproximationrenormalisation
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abstract

We construct a piecewise linear approximation for the dynamical $\Phi_3^4$ model on $\mathbb{T}^3$ by the theory of regularity structures in [Hai14]. For the dynamical $\Phi^4_3$ model it is proved in [Hai14] that a renormalisation has to be performed in order to define the nonlinear term. Compared to the results in [Hai14] we consider piecewise linear approximations to space-time white noise and prove that the solutions to the approximating equations converge to the solution to the dynamical $\Phi^4_3$ model. The renormalisation in this case corresponds to adding the solution multiplied by a function depending on $t$ in the approximating equation.

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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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