The topological Dirac equation of networks and simplicial complexes

Author:

Bianconi GinestraORCID

Abstract

Abstract We define the topological Dirac equation describing the evolution of a topological wave function on networks or on simplicial complexes. On networks, the topological wave function describes the dynamics of topological signals or cochains, i.e. dynamical signals defined both on nodes and on links. On simplicial complexes the wave function is also defined on higher-dimensional simplices. Therefore the topological wave function satisfies a relaxed condition of locality as it acquires the same value along simplices of dimension larger than zero. The topological Dirac equation defines eigenstates whose dispersion relation is determined by the spectral properties of the Dirac operator defined on networks and generalized network structures including simplicial complexes and multiplex networks. On simplicial complexes the Dirac equation leads to multiple energy bands. On multiplex networks the topological Dirac equation can be generalized to distinguish between different mutlilinks leading to a natural definition of rotations of the topological spinor. The topological Dirac equation is here initially formulated on a spatial network or simplicial complex for describing the evolution of the topological wave function in continuous time. This framework is also extended to treat the topological Dirac equation on 1 + d lattices describing a discrete space-time with one temporal dimension and d spatial dimensions with d ∈ {1, 2, 3}. It is found that in this framework space-like and time-like links are only distinguished by the choice of the directional Dirac operator and are otherwise structurally indistinguishable. This work includes also the discussion of numerical results obtained by implementing the topological Dirac equation on simplicial complex models and on real simple and multiplex network data.

Publisher

IOP Publishing

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference70 articles.

1. Barcodes: the persistent topology of data;Ghrist;Bull. Am. Math. Soc.,2008

2. Two’s company, three (or more) is a simplex;Giusti;J. Comput. Neurosci.,2016

3. A roadmap for the computation of persistent homology;Otter;EPJ Data Sci.,2017

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