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Journal of Mathematical Analysis and Applications
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Journal of Mathematical Analysis and Applications
Article . 1999
License: Elsevier Non-Commercial
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Eigenvectors of Perturbed Operators

Eigenvectors of perturbed operators
Authors: Bojan Kuzma;

Eigenvectors of Perturbed Operators

Abstract

The main result of this article constitutes the following theorem: Let \(A:H\rightarrow H\) be a compact selfadjoint operator and \(f\) a strictly increasing differentiable function in the interval \(I.\) For \(z\in H\) form a family of compact selfadjoint operators \(A(t)=A+f(t)\langle\cdot,z \rangle z\). If \(z\) is not an eigenvector of \(A\) for each \(t\in I,\) there exists the maximal eigenvalue \(\lambda_{\max} (t)\) and there does not exist a parameter \(t\) for which \(z\) is orthogonal to \(Y_{t}=\text{Ker} (A(t)-\lambda_{\max} (t))\), then we can find for each \(t\) an eigenvector \(x_{\max}(t)\in Y_{t}\), which is piecewise differentiable as the function of \(t\) and for which \(\langle x_{\max}(t),z\rangle\equiv 1.\) Moreover, \(\|x_{\max}(t)\|\) is a strictly decreasing function on \(I\).

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Keywords

maximal eigenvalue, Perturbation theory of linear operators, perturbation, Applied Mathematics, Eigenvalue problems for linear operators, Hilbert space, compact selfadjoint operator, Analysis

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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