Nonlocal-interaction equation on graphs: gradient flow structure and continuum limit

12/20/2019
by   Antonio Esposito, et al.
0

We consider dynamics driven by interaction energies on graphs. We introduce graph analogues of the continuum nonlocal-interaction equation and interpret them as gradient flows with respect to a graph Wasserstein distance. The particular Wasserstein distance we consider arises from the graph analogue of the Benamou-Brenier formulation where the graph continuity equation uses an upwind interpolation to define the density along the edges. While this approach has both theoretical and computational advantages, the resulting distance is only a quasi-metric. We investigate this quasi-metric both on graphs and on more general structures where the set of "vertices" is an arbitrary positive measure. We call the resulting gradient flow of the nonlocal-interaction energy the nonlocal nonlocal-interaction equation (NL^2IE). We develop the existence theory for the solutions of the NL^2IE as curves of maximal slope with respect to the upwind Wasserstein quasi-metric. Furthermore, we show that the solutions of the NL^2IE on graphs converge as the empirical measures of the set of vertices converge weakly, which establishes a valuable discrete-to-continuum convergence result.

READ FULL TEXT

page 4

page 11

page 22

research
08/25/2020

Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions

We consider finite-volume approximations of Fokker-Planck equations on b...
research
11/18/2021

Gradient flows on graphons: existence, convergence, continuity equations

Wasserstein gradient flows on probability measures have found a host of ...
research
06/06/2023

Graph-to-local limit for the nonlocal interaction equation

We study a class of nonlocal partial differential equations presenting a...
research
11/02/2022

Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels

The aim of this paper is twofold. Based on the geometric Wasserstein tan...
research
10/25/2022

Wasserstein Archetypal Analysis

Archetypal analysis is an unsupervised machine learning method that summ...
research
06/29/2022

Discrete Langevin Sampler via Wasserstein Gradient Flow

Recently, a family of locally balanced (LB) samplers has demonstrated ex...
research
11/25/2021

Quasi-Isometric Graph-Simplifications

We propose a general framework based on quasi-isometries to study graph ...

Please sign up or login with your details

Forgot password? Click here to reset