Merge Trees of Periodic Filtrations
Herbert Edelsbrunner, Teresa Heiss
TL;DR
The paper develops a rigorous framework for persistent topology on periodic data by introducing shadow monomials and the periodic merge tree, which augments standard 0-dimensional persistence with lattice-aware growth and shadows. An efficient algorithm with near-linear performance constructs periodic merge trees and their associated periodic barcodes, proving invariance under lattice changes and stability under perturbations. It then defines and analyzes the periodic 0-th barcode using an alternating Wasserstein distance, establishing invariance and stability results and providing a concrete 3D example to illustrate the concepts. The approach enables robust, scalable topological summaries of crystalline materials and other Λ-periodic structures across arbitrary dimensions. The core contributions include shadow monomial formalism, a lattice-aware construction algorithm, equivalence notions via splintering, and stable periodic barcodes with explicit distance bounds.
Abstract
Motivated by applications to crystalline materials, we generalize the merge tree and the related barcode of a filtered complex to the periodic setting in Euclidean space. They are invariant under isometries, changing bases, and indeed changing lattices. In addition, we prove stability under perturbations and provide an algorithm that under mild geometric conditions typically satisfied by crystalline materials takes $\mathcal{O}({(n+m) \log n})$ time, in which $n$ and $m$ are the numbers of vertices and edges in the quotient complex, respectively.
