A Homological Approach to Dynamics

This note describes a novel approach to systematically characterize dynamics based on finite information. We present an algebraic framework for dynamics from which it is possible to deduce more traditional descriptors associated with the qualitative structures of the geometric theory of dynamical systems. The purpose of this paper is to indicate how this approach can be used to obtain interpretable characterizations of dynamics that are robust with respect to perturbations, in the context of models of multiscale and data-driven systems.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-27
DOI
https://doi.org/10.48550/arxiv.2610.36532
Primary Topic
Topological and Geometric Data Analysis
Type
preprint
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preprint

A Homological Approach to Dynamics

William D. Kalies, Konstantin Mischaikow, Robert Vandervorst
arXiv (Cornell University)
Topological and Geometric Data Analysis
preprint

A Homological Approach to Dynamics

William D. Kalies, Konstantin Mischaikow, Robert Vandervorst
preprint en

Abstract

This note describes a novel approach to systematically characterize dynamics based on finite information. We present an algebraic framework for dynamics from which it is possible to deduce more traditional descriptors associated with the qualitative structures of the geometric theory of dynamical systems. The purpose of this paper is to indicate how this approach can be used to obtain interpretable characterizations of dynamics that are robust with respect to perturbations, in the context of models of multiscale and data-driven systems.

arXiv (Cornell University)
Topological and Geometric Data Analysis
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A Homological Approach to Dynamics — William D. Kalies, Konstantin Mischaikow, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS