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Meta-Diagrams for 2-Parameter Persistence

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arxiv 2303.08270 v1 pith:7BVUEAIF submitted 2023-03-14 math.AT cs.CG

classification math.ATcs.CG
keywords parameterpersistencemeta-diagrammeta-rankmodulemeta-diagramssignedalgorithm
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We first introduce the notion of meta-rank for a 2-parameter persistence module, an invariant that captures the information behind images of morphisms between 1D slices of the module. We then define the meta-diagram of a 2-parameter persistence module to be the M\"{o}bius inversion of the meta-rank, resulting in a function that takes values from signed 1-parameter persistence modules. We show that the meta-rank and meta-diagram contain information equivalent to the rank invariant and the signed barcode. This equivalence leads to computational benefits, as we introduce an algorithm for computing the meta-rank and meta-diagram of a 2-parameter module $M$ indexed by a bifiltration of $n$ simplices in $O(n^3)$ time. This implies an improvement upon the existing algorithm for computing the signed barcode, which has $O(n^4)$ runtime. This also allows us to improve the existing upper bound on the number of rectangles in the rank decomposition of $M$ from $O(n^4)$ to $O(n^3)$. In addition, we define notions of erosion distance between meta-ranks and between meta-diagrams, and show that under these distances, meta-ranks and meta-diagrams are stable with respect to the interleaving distance. Lastly, the meta-diagram can be visualized in an intuitive fashion as a persistence diagram of diagrams, which generalizes the well-understood persistence diagram in the 1-parameter setting.

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  1. Barcoding Invariants and Their Comparison

    math.AT 2024-12 conditional novelty 6.0 of 10

    All barcoding invariants of poset representations with the same basis have isomorphic kernels, hence equal generic discriminating power even when pairwise incomparable.

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