Computation of $\gamma$-linear projected barcodes for multiparameter persistence
Alex Fernandes, Steve Oudot, Francois Petit

TL;DR
This paper introduces an algebraic method for computing $b3$-linear projected barcodes in multiparameter persistence modules, extending previous functional approaches and utilizing sheaf-theoretic techniques for efficient analysis.
Contribution
It develops a direct algebraic approach for computing $b3$-linear projected barcodes from finite free resolutions, simplifying arrangements compared to prior methods like RIVET.
Findings
Method works for any multiparameter persistence module over b1^n
Arrangement in the dual space is simpler due to linear structure
Complexity bounds are comparable to RIVET, with improved arrangement simplicity
Abstract
The -linear projected barcode was recently introduced as an alternative to the well-known fibered barcode for multiparameter persistence, in which restrictions of the modules to lines are replaced by pushforwards of the modules along linear forms in the polar of some fixed cone . So far, the computation of the -linear projected barcode has only been studied in the functional setting, in which persistence modules come from the persistent cohomology of -valued functions. Here we develop a method that works in the algebraic setting directly, for any multiparameter persistence module over that is given via a finite free resolution. Our approach is similar to that of RIVET: first, it pre-processes the resolution to build an arrangement in the dual of and a barcode template in each face of the arrangement; second, given any…
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Taxonomy
TopicsMachine Learning and Algorithms · Machine Learning and Data Classification · Gene expression and cancer classification
