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Bibliographic Details
Main Author: DeVille, Lee
Format: Preprint
Published: 2020
Subjects:
Online Access:https://arxiv.org/abs/2010.07421
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author DeVille, Lee
author_facet DeVille, Lee
contents We consider a nonlinear flow on simplicial complexes related to the simplicial Laplacian, and show that it is a generalization of various consensus and synchronization models commonly studied on networks. In particular, our model allows us to formulate flows on simplices of any dimension, so that it includes edge flows, triangle flows, etc. We show that the system can be represented as the gradient flow of an energy functional, and use this to deduce the stability of various steady states of the model. Finally, we demonstrate that our model contains higher-dimensional analogues of structures seen in related network models.
format Preprint
id arxiv_https___arxiv_org_abs_2010_07421
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Consensus on simplicial complexes, or: The nonlinear simplicial Laplacian
DeVille, Lee
Dynamical Systems
Disordered Systems and Neural Networks
Adaptation and Self-Organizing Systems
34D06, 55U10, 15A18, 68M14, 05C65
We consider a nonlinear flow on simplicial complexes related to the simplicial Laplacian, and show that it is a generalization of various consensus and synchronization models commonly studied on networks. In particular, our model allows us to formulate flows on simplices of any dimension, so that it includes edge flows, triangle flows, etc. We show that the system can be represented as the gradient flow of an energy functional, and use this to deduce the stability of various steady states of the model. Finally, we demonstrate that our model contains higher-dimensional analogues of structures seen in related network models.
title Consensus on simplicial complexes, or: The nonlinear simplicial Laplacian
topic Dynamical Systems
Disordered Systems and Neural Networks
Adaptation and Self-Organizing Systems
34D06, 55U10, 15A18, 68M14, 05C65
url https://arxiv.org/abs/2010.07421