Spectral Deformation Flow and Dimension Recovery: Invariant-Based Rigidity for Simply-Connected Closed Manifolds
Anton Alexa

TL;DR
This paper introduces a spectral deformation flow approach for analyzing and recovering the geometry of simply-connected closed manifolds using spectral invariants, establishing a rigidity criterion that characterizes the sphere.
Contribution
It develops a spectral flow framework linking deformation dynamics with manifold geometry and introduces a rigidity criterion for sphere characterization based on spectral invariants.
Findings
Spectral flow exhibits global stabilization toward a symmetric spectral attractor.
The deformation-spectrum encoding effectively captures manifold geometry via spectral invariants.
A rigidity criterion uniquely identifies the sphere when spectral invariants match.
Abstract
We study an effective spectral deformation flow for mode amplitudes , governed by a second-order self-adjoint operator on a compact interval. The flow is encoded in the multi-function and exhibits global stabilization toward a symmetric spectral attractor. To connect this dynamics with geometry, we introduce a deformation-spectrum encoding of compact Riemannian manifolds through a shifted Laplace--Beltrami spectrum. Within this framework, we analyze energy decay, entropy decay, and the bulk asymptotic spectral density of the encoded manifold spectrum, obtaining an information-theoretic and spectral route to dimension recovery. We further formulate a rigidity criterion showing that, when the deformation spectral invariants coincide with those of the round sphere, the spherical profile is the unique manifold-compatible asymptotic realization within the…
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Taxonomy
TopicsTopological and Geometric Data Analysis
