We are interested in generalized matrix eigenvalue problems of the type AX + XA = lambda HXH and AX + XA = lambda(HX + XH) with A and H both symmetric and positive definite, and in their tensor counterparts. We collect several structural properties, some of which are known, together with some new spectral results. We also analyze in detail the case where the second problem stems from the discretization of linear elliptic partial differential equations by finite differences. In particular, we derive spectral properties that can be used in the numerical solution of the resulting algebraic linear system.

On some structural properties of generalized Lyapunov eigenproblems and application to operator preconditioning

Simoncini, Valeria
;
Toni, Daniele
2023

Abstract

We are interested in generalized matrix eigenvalue problems of the type AX + XA = lambda HXH and AX + XA = lambda(HX + XH) with A and H both symmetric and positive definite, and in their tensor counterparts. We collect several structural properties, some of which are known, together with some new spectral results. We also analyze in detail the case where the second problem stems from the discretization of linear elliptic partial differential equations by finite differences. In particular, we derive spectral properties that can be used in the numerical solution of the resulting algebraic linear system.
2023
Settore MATH-05/A - Analisi numerica
Matrix eigenproblem; Lyapunov equation; Structural properties; Eigenvalue distribution
File in questo prodotto:
File Dimensione Formato  
s40574-023-00400-9+(1).pdf

accesso aperto

Tipologia: Published version
Licenza: Creative Commons
Dimensione 942.52 kB
Formato Adobe PDF
942.52 kB Adobe PDF

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/11384/154030
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
  • OpenAlex 0
social impact