Published April 18, 2019
| Version v1
Conference paper
Computing Persistent Homology of Flag Complexes via Strong Collapses
Creators
Contributors
Others:
- Understanding the Shape of Data (DATASHAPE) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Saclay - Ile de France ; Institut National de Recherche en Informatique et en Automatique (Inria)
- COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)
- ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)
- European Project: 339025,EC:FP7:ERC,ERC-2013-ADG,GUDHI(2014)
Description
In this article, we focus on the problem of computing Persistent Homology of a flag tower, i.e. a sequence of flag complexes connected by simplicial maps. We show that if we restrict the class of simplicial complexes to flag complexes, we can achieve decisive improvement in terms of time and space complexities with respect to previous work. We show that strong collapses of flag complexes can be computed in time O(k^2 v^2) where v is the number of vertices of the complex and k is the maximal degree of its graph. Moreover we can strong collapse a flag complex knowing only its 1-skeleton and the resulting complex is also a flag complex. When we strong collapse the complexes in a flag tower, we obtain a reduced sequence that is also a flag tower we call the core flag tower. We then convert the core flag tower to an equivalent filtration to compute its PH. Here again, we only use the 1-skeletons of the complexes. The resulting method is simple and extremely efficient.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.inria.fr/hal-02078311
- URN
- urn:oai:HAL:hal-02078311v1
Origin repository
- Origin repository
- UNICA