On the spectra and pseudospectra of a class of non-self-adjoint random matrices and operators

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Chandler-Wilde, S. orcid id iconORCID: https://orcid.org/0000-0003-0578-1283, Chonchaiya, R. and Lindner, M. (2013) On the spectra and pseudospectra of a class of non-self-adjoint random matrices and operators. Operators and Matrices, 7 (4). pp. 739-775. ISSN 1848-9974 doi: 10.7153/oam-07-43

Abstract/Summary

In this paper we develop and apply methods for the spectral analysis of non-selfadjoint tridiagonal infinite and finite random matrices, and for the spectral analysis of analogous deterministic matrices which are pseudo-ergodic in the sense of E. B. Davies (Commun. Math. Phys. 216 (2001), 687–704). As a major application to illustrate our methods we focus on the “hopping sign model” introduced by J. Feinberg and A. Zee (Phys. Rev. E 59 (1999), 6433–6443), in which the main objects of study are random tridiagonal matrices which have zeros on the main diagonal and random ±1’s as the other entries. We explore the relationship between spectral sets in the finite and infinite matrix cases, and between the semi-infinite and bi-infinite matrix cases, for example showing that the numerical range and p-norm ε - pseudospectra (ε > 0, p ∈ [1,∞] ) of the random finite matrices converge almost surely to their infinite matrix counterparts, and that the finite matrix spectra are contained in the infinite matrix spectrum Σ. We also propose a sequence of inclusion sets for Σ which we show is convergent to Σ, with the nth element of the sequence computable by calculating smallest singular values of (large numbers of) n×n matrices. We propose similar convergent approximations for the 2-norm ε -pseudospectra of the infinite random matrices, these approximations sandwiching the infinite matrix pseudospectra from above and below.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/36695
Identification Number/DOI 10.7153/oam-07-43
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
Publisher Publishing House Element d.o.o.
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