Persistent homology of function spaces
Jonathan Block, Fedor Manin, Shmuel Weinberger
TL;DR
The paper develops a persistent-homology framework for studying Lip$(X,Y)$ with the Lip filtration, revealing that nonpositive-curvature targets yield only infinite bars, while simply connected targets with positive weights or H-space structure exhibit uniformly bounded finite bars for fixed domain $X$. It leverages rational homotopy theory and the shadowing principle to translate algebraic obstructions into quantitative Lipschitz-control results for maps and homotopies, producing both general theorems and explicit unbounded-bar examples. The work thus connects geometric group theory, loop-space topology, and quantitative topology, highlighting both the power and limits of current methods. The results have potential implications for understanding the complexity of homotopies in function spaces and for computational topological analysis of Lipschitz-m constrained mappings.
Abstract
We can view the Lipschitz constant as a height function on the space of maps between two manifolds and ask (as Gromov did nearly 30 years ago) what its ``Morse landscape'' looks like: are there high peaks, deep valleys and mountain passes? A simple and relatively well-studied version of this question: given two points in the same component (homotopic maps), does a path between them (a homotopy) have to pass through maps of much higher Lipschitz constant? Now we also consider similar questions for higher-dimensional cycles in the space. We make this precise using the language of persistent homology and give some first results.
