Literature DB >> 32289953

Homological percolation and the Euler characteristic.

Omer Bobrowski1, Primoz Skraba2.   

Abstract

In this paper we study the connection between the zeros of the expected Euler characteristic curve and the phenomenon which we refer to as homological percolation-the formation of "giant" cycles in persistent homology, which is intimately related to classical notions of percolation. We perform an experimental study that covers four different models: site percolation on the cubical and permutahedral lattices, the Poisson-Boolean model, and Gaussian random fields. All the models are generated on the flat torus T^{d} for d=2,3,4. The simulation results strongly indicate that the zeros of the expected Euler characteristic curve approximate the critical values for homological percolation. Our results also provide some insight about the approximation error. Further study of this connection could have powerful implications both in the study of percolation theory and in the field of topological data analysis.

Year:  2020        PMID: 32289953     DOI: 10.1103/PhysRevE.101.032304

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  1 in total

Review 1.  A hands-on tutorial on network and topological neuroscience.

Authors:  Eduarda Gervini Zampieri Centeno; Giulia Moreni; Chris Vriend; Linda Douw; Fernando Antônio Nóbrega Santos
Journal:  Brain Struct Funct       Date:  2022-02-10       Impact factor: 3.270

  1 in total

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