Basis functions Embedding Finite difference method Galerkin method Iterative methods Operators (mathematics) Reduced order models Spectra Two dimensional models
We generate data-driven reduced order models (ROMs) for inversion of the one and two dimensional Schr\"odinger equation in the spectral domain given boundary data at a few frequencies. The ROM is the Galerkin projection of the Schr\"odinger operator onto the space spanned by solutions at these sample frequencies. The ROM matrix is in general full, and not good for extracting the potential. However, using an orthogonal change of basis via Lanczos iteration, we can transform the ROM to a block triadiagonal form from which it is easier to extract \(q\). In one dimension, the tridiagonal matrix corresponds to a three-point staggered finite-difference system for the Schr\"odinger operator discretized on a so-called spectrally matched grid which is almost independent of the medium. In higher dimensions, the orthogonalized basis functions play the role of the grid steps. The orthogonalized basis functions are localized and also depend only very weakly on the medium, and thus by embedding into the continuous problem, the reduced order model yields highly accurate internal solutions. That is to say, we can obtain, just from boundary data, very good approximations of the solution of the Schr\"odinger equation in the whole domain for a spectral interval that includes the sample frequencies. We present inversion experiments based on the internal solutions in one and two dimensions.
Metrics
6 Record Views
13 citations in Scopus
Details
Title
Reduced order models for spectral domain inversion: Embedding into the continuous problem and generation of internal data
Creators
Liliana Borcea
Vladimir Druskin
Alexander Mamonov
Shari Moskow
Mikhail Zaslavsky
Publication Details
arXiv.org, v 36(5), p55010
Publisher
Cornell University Library, arXiv.org; Ithaca
Resource Type
Other
Language
English
Academic Unit
Mathematics
Web of Science ID
WOS:000531256100001
Scopus ID
2-s2.0-85085711632
Other Identifier
991019168000804721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool: