Topological Data Analysis in Finsler Spaces
Finsler Metric, Topological Data Analysis, Simplicial Complex, Persistent Homology
We introduce a novel framework for Topological Data Analysis (TDA) based on Finsler geometry, enabling the incorporation of directional, asymmetric, and context-dependent information into topological constructions. Within this setting, we generalize the classical Vietoris–Rips and ˇCech complexes and introduce a new simplicial complex that captures richer pairwise interactions beyond standard distancebased relations. We establish fundamental geometric and topological properties of the resulting filtrations, including convexity, contractibility, and stability of persistence diagrams. Furthermore, we show that several information-theoretic approaches to TDA, such as those arising from Burg and Fisher metrics, are naturally recovered as special cases of our Finslerian framework, providing a unifying geometric perspective