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An algorithm for identifying eigenvectors exhibiting strong spatial localization.

Authors :
Ovall, Jeffrey S.
Reid, Robyn
Source :
Mathematics of Computation. May2023, Vol. 92 Issue 341, p1005-1031. 27p.
Publication Year :
2023

Abstract

We introduce an approach for exploring eigenvector localization phenomena for a class of (unbounded) selfadjoint operators. More specifically, given a target region and a tolerance, the algorithm identifies candidate eigenpairs for which the eigenvector is expected to be localized in the target region to within that tolerance. Theoretical results, together with detailed numerical illustrations of them, are provided that support our algorithm. A partial realization of the algorithm is described and tested, providing a proof of concept for the approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00255718
Volume :
92
Issue :
341
Database :
Academic Search Index
Journal :
Mathematics of Computation
Publication Type :
Academic Journal
Accession number :
161956662
Full Text :
https://doi.org/10.1090/mcom/3734