The Depth Poset under Transpositions in the Filter
Herbert Edelsbrunner, Michał Lipiński, Marian Mrozek, Manuel Soriano-Trigueros, Fedor Zimin
TL;DR
This work studies how transpositions in a filter affect the depth poset of a filtered Lefschetz complex. It provides a complete case analysis—BB, DD, and BD switches—together with efficient matrix-reduction methods to compute the related birth/death relations and their transitive closures. Computational experiments on random PL functions and straight-line homotopies quantify depth-poset size, component structure, and sensitivity, showing BD-type switches are rare and that the transitive reduction is relatively stable. The results motivate extending depth posets to discrete vector fields and stochastic models and linking to topology-optimization algorithms.
Abstract
The depth poset of a filtered Lefschetz complex reflects the dependencies between the cancellations of different shallow birth-death pairs. Using the fast algorithms for computing the depth poset in the present work and for updating the persistence diagram under transpositions (Vineyard persistence), we give a complete case analysis of how transpositions of cells in the filter affect the depth poset. In addition, we present statistics on the depth poset for random point data and its sensitivity to the transpositions that occur in random straight-line homotopies.
