Data structures for real multiparameter persistence modules
Ezra Miller

TL;DR
This paper develops a comprehensive algebraic and geometric framework for multiparameter persistent homology modules, introducing new data structures and decompositions that generalize barcodes to multiple parameters.
Contribution
It introduces finitely encoded modules over posets, with a theory of primary decomposition, minimal presentations, and functorial birth-death spaces for multiparameter persistence.
Findings
Existence of primary decomposition over polyhedral groups.
Development of functorial birth and death spaces.
Generalization of barcodes via QR codes and elder morphisms.
Abstract
A theory of modules over posets is developed to define computationally feasible, topologically interpretable data structures, in terms of birth and death of homology classes, for persistent homology with multiple real parameters. To replace the noetherian hypothesis in the general setting of modules over posets, a "finitely encoded" condition is defined combinatorially and developed algebraically. It captures topological tameness of persistent homology. Poset-modules satisfying it can be specified by "fringe presentations" that reflect birth-and-death descriptions of persistence. A syzygy theorem characterizes finitely encoded modules as admitting appropriately finite presentations and resolutions. The geometric and algebraic theory focuses on modules over real polyhedral groups (real vector spaces with polyhedral positive cones) and a parallel theory over discrete polyhedral groups…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Commutative Algebra and Its Applications · Homotopy and Cohomology in Algebraic Topology
