2010
DOI: 10.1063/1.3406252
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Count of eigenvalues in the generalized eigenvalue problem

Abstract: We address the count of isolated and embedded eigenvalues in a generalized eigenvalue problem defined by two self-adjoint operators with a positive essential spectrum and a finite number of isolated eigenvalues. The generalized eigenvalue problem determines spectral stability of nonlinear waves in a Hamiltonian dynamical system. The theory is based on the Pontryagin's Invariant Subspace theorem in an indefinite inner product space but it extends beyond the scope of earlier papers of Pontryagin, Krein, Grillaki… Show more

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Cited by 56 publications
(105 citation statements)
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References 32 publications
(31 reference statements)
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“…Then, according to Chugunova and Pelinovsky [24], the following relationship between the number of eigenmodes of L and those of ∂ x L holds:…”
Section: The Forced Korteweg-de Vries (Fkdv) Modelmentioning
confidence: 99%
“…Then, according to Chugunova and Pelinovsky [24], the following relationship between the number of eigenmodes of L and those of ∂ x L holds:…”
Section: The Forced Korteweg-de Vries (Fkdv) Modelmentioning
confidence: 99%
“…Because sin(θ) = sin(π − θ), every non-zero eigenvalue corresponding to θ k (m, N ) = π 2 is double. Because all eigenvalues λ ∈ iR + have a definite Krein signature by Lemma 3 and the sign of σ (1) n in (68) is same for both eigenvalues with sin(θ) = sin(π− θ), the double eigenvalues λ ∈ iR are structurally stable with respect to parameter continuations [4] in the sense that they split along the imaginary axis beyond the leading-order perturbation theory.…”
Section: Proof Of Theoremmentioning
confidence: 99%
“…for which the system of two granular chains (4) reduces to the scalar granular chain (a so-called monomer),Ü…”
Section: Formalism 21 the Modelmentioning
confidence: 99%
“…Other referential works which study spectral problems with this perspective include Azizov and Iokhvidov [4], Gohberg et al [9], Shkalikov [34], and Shkalikov [35]. A different approach to studying the problem, based upon the techniques of spectral decomposition and simultaneous diagonalization of quadratic forms, is found in Chugunova and Pelinovsky [7], Hǎrǎguş and Kapitula [14], and Pelinovsky [32].…”
Section: Introductionmentioning
confidence: 99%