Hodge Theory on Metric Spaces
Abstract
Hodge theory is a beautiful synthesis of geometry, topology, and analysis, which has been developed in the setting of Riemannian manifolds. On the other hand, spaces of images, which are important in the mathematical foundations of vision and pattern recognition, do not fit this framework. This motivates us to develop a version of Hodge theory on metric spaces with a probability measure. We believe that this constitutes a step towards understanding the geometry of vision. The appendix by Anthony Baker provides a separable, compact metric space with infinite dimensional \alpha-scale homology.
Keywords
Cite
@article{arxiv.0912.0284,
title = {Hodge Theory on Metric Spaces},
author = {Laurent Bartholdi and Thomas Schick and Nat Smale and Steve Smale and Anthony W. Baker},
journal= {arXiv preprint arXiv:0912.0284},
year = {2016}
}
Comments
appendix by Anthony W. Baker, 48 pages, AMS-LaTeX. v2: final version, to appear in Foundations of Computational Mathematics. Minor changes and additions