English

A Tool for Integer Homology Computation: Lambda-At Model

Computer Vision and Pattern Recognition 2011-05-24 v1

Abstract

In this paper, we formalize the notion of lambda-AT-model (where λ\lambda is a non-null integer) for a given chain complex, which allows the computation of homological information in the integer domain avoiding using the Smith Normal Form of the boundary matrices. We present an algorithm for computing such a model, obtaining Betti numbers, the prime numbers p involved in the invariant factors of the torsion subgroup of homology, the amount of invariant factors that are a power of p and a set of representative cycles of generators of homology mod p, for each p. Moreover, we establish the minimum valid lambda for such a construction, what cuts down the computational costs related to the torsion subgroup. The tools described here are useful to determine topological information of nD structured objects such as simplicial, cubical or simploidal complexes and are applicable to extract such an information from digital pictures.

Keywords

Cite

@article{arxiv.1105.4480,
  title  = {A Tool for Integer Homology Computation: Lambda-At Model},
  author = {Rocio Gonzalez-Diaz and Maria Jose Jimenez and Belen Medrano and Pedro Real},
  journal= {arXiv preprint arXiv:1105.4480},
  year   = {2011}
}

Comments

Journal Image and Vision Computing, Volume 27 Issue 7, June, 2009

R2 v1 2026-06-21T18:11:05.409Z