Hochschild homology, and a persistent approach via connectivity digraphs
Luigi Caputi, Henri Riihim\"aki

TL;DR
This paper develops a persistent Hochschild homology framework for directed graphs, introducing connectivity digraphs to extend homology to higher degrees and proposing a stable computational pipeline.
Contribution
It introduces connectivity digraphs and a categorical pipeline for persistent Hochschild homology, extending the theory to higher degrees and generalizing classical graph notions.
Findings
Hochschild homology vanishes in degree i≥2 for path algebras of directed graphs
Connectivity digraphs enable extension of homology to higher degrees
A stable computational pipeline for persistent Hochschild homology is proposed
Abstract
We introduce a persistent Hochschild homology framework for directed graphs. Hochschild homology groups of (path algebras of) directed graphs vanish in degree . To extend them to higher degrees, we introduce the notion of connectivity digraphs and analyse two main examples; the first, arising from Atkin's -connectivity, and the second, here called -path digraphs, generalising the classical notion of line graphs. Based on a categorical setting for persistent homology, we propose a stable pipeline for computing persistent Hochschild homology groups. This pipeline is also amenable to other homology theories; for this reason, we complement our work with a survey on homology theories of digraphs.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Homotopy and Cohomology in Algebraic Topology · Advanced Neuroimaging Techniques and Applications
