We show how the spectrum of normal discrete short-range infinitevolume operators can be approximated with two-sided error control using only data from finite-sized local patches. As a corollary, we prove the computability of the spectrum of such infinite-volume operators with the additional property of finite local complexity and provide an explicit algorithm. Such operators appear in many applications, e.g. as discretizations of differential operators on unbounded domains or as so-called tight-binding Hamiltonians in solid state physics. For a large class of such operators, our result allows for the first time to establish computationally also the absence of spectrum, i.e. the existence and the size of spectral gaps. We extend our results to the epsilon-pseudospectrum of non-normal operators, proving that also the pseudospectrum of such operators is computable.

Computing the spectrum and pseudospectrum of infinite-volume operators from local patches

Moscolari, Massimo;Teufel, Stefan
2025-01-01

Abstract

We show how the spectrum of normal discrete short-range infinitevolume operators can be approximated with two-sided error control using only data from finite-sized local patches. As a corollary, we prove the computability of the spectrum of such infinite-volume operators with the additional property of finite local complexity and provide an explicit algorithm. Such operators appear in many applications, e.g. as discretizations of differential operators on unbounded domains or as so-called tight-binding Hamiltonians in solid state physics. For a large class of such operators, our result allows for the first time to establish computationally also the absence of spectrum, i.e. the existence and the size of spectral gaps. We extend our results to the epsilon-pseudospectrum of non-normal operators, proving that also the pseudospectrum of such operators is computable.
2025
File in questo prodotto:
File Dimensione Formato  
Computing the spectrum and pseudospectrum of infinite-volume operators from local patches - MC 2025 - Hege Moscolari Teufel.pdf

Accesso riservato

Dimensione 1.37 MB
Formato Adobe PDF
1.37 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1301161
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 0
social impact