Gradient flow structure for some nonlocal diffusion equations
Andrew Warren

TL;DR
This paper develops a gradient flow framework for nonlocal diffusion equations, interpreting solutions as gradient flows of relative entropy under a novel nonlocal Wasserstein metric, enabling analysis of existence, stability, and convergence.
Contribution
It introduces a nonlocal Wasserstein metric and gradient flow structure for nonlocal diffusion equations, extending Otto calculus to nonlocal settings.
Findings
Existence and uniqueness of weak solutions.
Stability under perturbations of initial data and parameters.
Conditions for exponential convergence to equilibrium.
Abstract
We study ``nonlocal diffusion equations'' of the form \[ \partial_{t}\frac{d\rho_{t}}{d\pi}(x)+\int_{X}\left(\frac{d\rho_{t}}{d\pi}(x)-\frac{d\rho_{t}}{d\pi}(y)\right)\eta(x,y)d\pi(y)=0\qquad(\dagger) \] where is either or , is a probability distribution on , and is a ``transition kernel'' which may be singular as . For a suitable notion of weak solutions which we discuss below, we show that solutions to these nonlocal diffusion equations can be interpreted as gradient flows of the relative entropy with respect to a certain nonlocal Wasserstein-type metric defined in terms of and . These ``nonlocal Wasserstein metrics'' endow the space of probability measures on with a formal Riemannian structure, thereby providing for us a nonlocal analogue of the \emph{Otto calculus} originally developed in the…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Differential Equations and Boundary Problems · Differential Equations and Numerical Methods
