arXiv Analytics

Sign in

arXiv:1004.1646 [math.FA]AbstractReferencesReviewsResources

An unitary invariant of semi-bounded operator and its application to inverse problems

M. I. Belishev

Published 2010-04-09Version 1

Let $L_0$ be a closed densely defined symmetric semi-bounded operator with nonzero defect indexes in a separable Hilbert space ${\cal H}$. With $L_0$ we associate a metric space $\Omega_{L_0}$ that is named a {\it wave spectrum} and constructed from trajectories $\{u(t)\}_{t \geq 0}$ of a dynamical system governed by the equation $u_{tt}+(L_0)^*u=0$. The wave spectrum is introduced through a relevant von Neumann operator algebra associated with the system. Wave spectra of unitary equivalent operators are isometric. In inverse problems on {\it unknown} manifolds, one needs to recover a Riemannian manifold $\Omega$ via dynamical or spectral boundary data. We show that for a generic class of manifolds, $\Omega$ is {\it isometric} to the wave spectrum $\Omega_{L_0}$ of the minimal Laplacian $L_0=-\Delta|_{C^\infty_0(\Omega\backslash \partial \Omega)}$ acting in ${\cal H}=L_2(\Omega)$, whereas $L_0$ is determined by the inverse data up to unitary equivalence. By this, one can recover the manifold by the scheme "the data $\Rightarrow L_0 \Rightarrow \Omega_{L_0} \overset{\rm isom}= \Omega$". The wave spectrum is relevant to a wide class of dynamical systems, which describe the finite speed wave propagation processes. The paper elucidates the operator background of the boundary control method (Belishev, 1986) based on relations of inverse problems to system and control theory.

Related articles: Most relevant | Search more
arXiv:1208.3084 [math.FA] (Published 2012-08-15)
A unitary invariant of semi-bounded operator in reconstruction of manifolds
arXiv:2501.01929 [math.FA] (Published 2025-01-03)
Compressed sensing for inverse problems II: applications to deconvolution, source recovery, and MRI
arXiv:1108.3570 [math.FA] (Published 2011-08-17, updated 2012-01-18)
Local Analysis of Inverse Problems: Hölder Stability and Iterative Reconstruction