English

Computing Bottleneck Distance for Multi-parameter Interval Decomposable Persistence Modules

Computational Geometry 2019-10-07 v3

Abstract

Computation of the interleaving distance between persistence modules is a central task in topological data analysis. For 11-parameter persistence modules, thanks to the isometry theorem, this can be done by computing the bottleneck distance with known efficient algorithms. The question is open for most nn-parameter persistence modules, n>1n>1, because of the well recognized complications of the indecomposables. Here, we consider a reasonably complicated class called {\em nn-parameter interval decomposable} modules whose indecomposables may have a description of non-constant complexity. We present a polynomial time algorithm to compute the bottleneck distance for these modules from indecomposables, which bounds the interleaving distance from above, and give another algorithm to compute a new distance called {\em dimension distance} that bounds it from below. An earlier version of this paper considered only the 22-parameter interval decomposable modules~\cite{DeyCheng18}.

Keywords

Cite

@article{arxiv.1803.02869,
  title  = {Computing Bottleneck Distance for Multi-parameter Interval Decomposable Persistence Modules},
  author = {Tamal K. Dey and Cheng Xin},
  journal= {arXiv preprint arXiv:1803.02869},
  year   = {2019}
}

Comments

This is the n-parameter extension of the conference paper that appeared in SoCG 2018 (which was only for 2-parameter case)