Piecewise linear approximation for the dynamical $\Phi^4_3$ model
Rongchan Zhu, Xiangchan Zhu

TL;DR
This paper develops a piecewise linear approximation scheme for the dynamical $\
Contribution
It introduces a novel piecewise linear approximation method for the $\
Findings
Convergence of the approximations to the true solution.
Implementation of renormalisation via time-dependent functions.
Extension of regularity structures to piecewise linear noise.
Abstract
We construct a piecewise linear approximation for the dynamical model on by the theory of regularity structures in [Hai14]. For the dynamical 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 model. The renormalisation in this case corresponds to adding the solution multiplied by a function depending on in the approximating equation.
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Taxonomy
TopicsCosmology and Gravitation Theories · Fluid Dynamics and Turbulent Flows · Stochastic processes and financial applications
