On the M.Kac problem with augmented data
M.I.Belishev, A.F.Vakulenko

TL;DR
This paper shows that augmenting the Dirichlet Laplacian spectrum with the harmonic subspace data uniquely determines a domain or manifold, solving a generalized M. Kac problem.
Contribution
The paper demonstrates that the pair of the spectrum and the harmonic subspace data uniquely determines domains and manifolds, extending the classical problem.
Findings
The spectrum plus harmonic subspace data determines the domain up to isometry.
This augmentation solves the inverse problem for Riemannian manifolds.
The result applies to domains and manifolds of arbitrary dimension, metric, and topology.
Abstract
Let be a bounded plane domain. As is known, the spectrum of its Dirichlet Laplacian does not determine (up to isometry). By this, a reasonable version of the M.Kac problem is to augment the spectrum with relevant data that provide the determination. To give the spectrum is to represent in the form in the space , where is the Fourier transform. Let be the harmonic function subspace, . We show that, in a generic case, the pair determines up to isometry, what holds not only for the…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Military Defense Systems Analysis · Cryptography and Data Security
