Positivity of Multiparameter Persistence Diagrams and Bottleneck Stability
Alex McCleary, Amit Patel

TL;DR
This paper investigates the positivity and stability of multiparameter persistence diagrams derived from multifiltrations, aiming to ensure reliable topological summaries in data analysis.
Contribution
It introduces conditions under which multiparameter persistence diagrams are positive and proves their bottleneck stability, advancing the theoretical understanding of multiparameter persistent homology.
Findings
Establishment of positivity conditions for multiparameter persistence diagrams
Proof of bottleneck stability for these diagrams
Framework for reliable topological data analysis using multiparameter persistence
Abstract
Persistent homology studies the birth and death of cycles in a parameterized family of spaces. In this paper, we study the birth and death of cycles in a multifiltration of a chain complex with the goal of producing a persistence diagram that satisfies bottleneck stability.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Homotopy and Cohomology in Algebraic Topology · Advanced Neuroimaging Techniques and Applications
