Gradient walk and $p$-harmonic functions
Hannes Luiro, Mikko Parviainen

TL;DR
This paper introduces stochastic processes that approximate $p$-harmonic functions, providing explicit convergence rates and a diffusion representation, addressing challenges related to the zero gradient set.
Contribution
It develops new stochastic approximation methods for $p$-harmonic functions with proven uniform convergence and explicit rates, including a continuous-time diffusion representation.
Findings
Stochastic processes converge uniformly to $p$-harmonic functions
Explicit convergence rates are established
A diffusion representation in continuous time is derived
Abstract
We consider a class of stochastic processes and establish its connection to -harmonic functions. In particular, we obtain stochastic approximations that converge uniformly to a -harmonic function, with an explicit convergence rate, and also obtain a precise diffusion representation in continuous time. The main difficulty is how to deal with the zero set of the gradient of the underlying function.
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Taxonomy
TopicsNonlinear Partial Differential Equations · Advanced Harmonic Analysis Research · Numerical methods in inverse problems
