ATCGCVJun 19, 2017

Optimising the topological information of the $A_\infty$-persistence groups

arXiv:1706.06019v14 citations
Originality Incremental advance
AI Analysis

This work addresses a theoretical problem in computational topology for researchers, offering an incremental extension to persistent homology by incorporating $A_\\infty$-structures.

The paper tackles the problem of enhancing persistent homology by using $A_\\infty$-persistence groups to analyze topological subspaces like $V := \ ext{Ker}\\, {\\Delta_n}_{| H_p(X)}$, and explores optimizing $A_\\infty$-coalgebras along filtrations to make these groups carry more faithful topological information.

Persistent homology typically studies the evolution of homology groups $H_p(X)$ (with coefficients in a field) along a filtration of topological spaces. $A_\infty$-persistence extends this theory by analysing the evolution of subspaces such as $V := \text{Ker}\, {Δ_n}_{| H_p(X)} \subseteq H_p(X)$, where $\{Δ_m\}_{m\geq1}$ denotes a structure of $A_\infty$-coalgebra on $H_*(X)$. In this paper we illustrate how $A_\infty$-persistence can be useful beyond persistent homology by discussing the topological meaning of $V$, which is the most basic form of $A_\infty$-persistence group. In addition, we explore how to choose $A_\infty$-coalgebras along a filtration to make the $A_\infty$-persistence groups carry more faithful information.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes