Principal vectors of a nonlinear finite-dimensional eigenvalue problem


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

In a finite-dimensional linear space, consider a nonlinear eigenvalue problem analytic with respect to its spectral parameter. The notion of a principal vector for such a problem is examined. For a linear eigenvalue problem, this notion is identical to the conventional definition of principal vectors. It is proved that the maximum number of linearly independent eigenvectors combined with principal (associated) vectors in the corresponding chains is equal to the multiplicity of an eigenvalue. A numerical method for constructing such chains is given.

About the authors

A. A. Abramov

Dorodnicyn Computing Center; Moscow Institute of Physics and Technology

Author for correspondence.
Email: alalabr@ccas.ru
Russian Federation, ul. Vavilova 40, Moscow, 119333; Institutskii per. 9, Dolgoprudnyi, Moscow oblast, 141700

L. F. Yukhno

Institute of Applied Mathematics; Moscow Engineering Physics Institute (State University)

Email: alalabr@ccas.ru
Russian Federation, Miusskaya pl. 4a, Moscow, 125047; Kashirskoe sh. 31, Moscow, 115409

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2016 Pleiades Publishing, Ltd.