2003
DOI: 10.1088/0264-9381/20/3/501
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Spectral asymptotics in eigenvalue problems with nonlinear dependence on the spectral parameter

Abstract: We study asymptotic distribution of eigen-values ω of a quadratic operator polynomial of the following form (ω 2 − L(ω))φ ω = 0, where L(ω) is a second order differential positive elliptic operator with quadratic dependence on the spectral parameter ω. We derive asymptotics of the spectral density in this problem and show how to compute coefficients of its asymptotic expansion from coefficients of the asymptotic expansion of the trace of the heat kernel of L(ω). The leading term in the spectral asymptotics is … Show more

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Cited by 7 publications
(9 citation statements)
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“…Since the potential in (9) depends on the frequency ω we are dealing with a non-linear spectral problem. To analyze the spectral density we use a method developed initially in [20][21][22] and then adapted to NC theories in [18]. Let us consider an auxiliary eigenvalue problem…”
Section: Asymptotic Behavior Of the Spectral Densitymentioning
confidence: 99%
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“…Since the potential in (9) depends on the frequency ω we are dealing with a non-linear spectral problem. To analyze the spectral density we use a method developed initially in [20][21][22] and then adapted to NC theories in [18]. Let us consider an auxiliary eigenvalue problem…”
Section: Asymptotic Behavior Of the Spectral Densitymentioning
confidence: 99%
“…The spectral density ρ(σ, ω) taken at coinciding arguments is not the density ρ(ω) of our initial spectral problem (9). As demonstrated in [20][21][22] (see also [18] for a discussion in the framework of NC theories) one has to construct another density ̺(σ, ω) which is related to a heat-kernel like object…”
Section: Asymptotic Behavior Of the Spectral Densitymentioning
confidence: 99%
“…By using Eqs. (11), (12) and (21), one obtains the part of the spectral density for the nonlinear spectral problem, which is generated by the tachionic part of the auxiliary problem:…”
Section: Spectral Densities: Plane Casementioning
confidence: 99%
“…By using Eqs. (12) and (21) one obtains an expression for the spectral density of the non-linear spectral problem…”
Section: Spectral Densities: Curved Casementioning
confidence: 99%
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