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Schauder estimate for quasilinear discrete PDEs of parabolic type

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abstract

We investigate quasilinear discrete PDEs $\partial_t u = \Delta^N \varphi(u)+ Kf(u)$ of reaction-diffusion type with nonlinear diffusion term defined on an $n$-dimensional unit torus discretized with mesh size $\tfrac1N$ for $N\in {\mathbb N}$, where $\Delta^N$ is the discrete Laplacian, $\varphi$ is a strictly increasing $C^5$ function and $f$ is a $C^1$ function. We establish $L^\infty$ bounds and space-time H\"older estimates, both uniform in $N$, of the first and second spatial discrete derivatives of the solutions. In the equation, $K>0$ is a large constant and we show how these estimates depend on $K$. The motivation for this work stems originally from the study of hydrodynamic scaling limits of interacting particle systems. Our method is a two steps approach in terms of the H\"older estimate and Schauder estimate, which is known for continuous parabolic PDEs. We first show the discrete H\"older estimate uniform in $N$ for the solutions of the associated linear discrete PDEs with continuous coefficients, based on the Nash estimate. We next establish the discrete Schauder estimate for linear discrete PDEs with uniform H\"older coefficients. The link between discrete and continuous settings is given by the polylinear interpolations. Since this operation has a non-local nature, the method requires proper modifications. We also discuss another method based on the study of the corresponding fundamental solutions.

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math.PR 1

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representative citing papers

Stochastic PDE approach to fluctuating interfaces

math.PR · 2024-12-01 · conditional · novelty 7.0

For a flat immobile interface in a particle system, the interface fluctuation converges, after suitable scaling, to Brownian motion in d=1 and to the stochastic heat equation in d>=2.

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  • Stochastic PDE approach to fluctuating interfaces math.PR · 2024-12-01 · conditional · none · ref 17 · internal anchor

    For a flat immobile interface in a particle system, the interface fluctuation converges, after suitable scaling, to Brownian motion in d=1 and to the stochastic heat equation in d>=2.