2018
DOI: 10.1016/j.jsv.2018.06.069
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Exceptional points in the thermoacoustic spectrum

Abstract: Exceptional points are found in the spectrum of a prototypical thermoacoustic system as the parameters of the flame transfer function are varied. At these points, two eigenvalues and the associated eigenfunctions coalesce. The system's sensitivity to changes in the parameters becomes infinite. Two eigenvalue branches collide at the exceptional point as the interaction index is increased. One branch originates from a purely acoustic mode, whereas the other branch originates from an intrinsic thermoacoustic mode… Show more

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Cited by 32 publications
(38 citation statements)
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“…Although not correlated with exceptional points, these regions of large sensitivities in the complex plane were identified previously by Juniper & Sujith (2018). At the exceptional points the eigenvalue sensitivities can no longer be evaluated by a first-order expansion (Mensah et al 2018). Further implications for the modelling of the system at such parameter configurations are still open and unresolved.…”
Section: Introductionmentioning
confidence: 75%
“…Although not correlated with exceptional points, these regions of large sensitivities in the complex plane were identified previously by Juniper & Sujith (2018). At the exceptional points the eigenvalue sensitivities can no longer be evaluated by a first-order expansion (Mensah et al 2018). Further implications for the modelling of the system at such parameter configurations are still open and unresolved.…”
Section: Introductionmentioning
confidence: 75%
“…In linear eigenproblems, the algebraic multiplicities add up to the dimension of the problem. However, in NEPs there may exist an infinite number of eigenvalues, and an eigenvalue may have any algebraic multiplicity greater than the dimension of the problem 23 ; • An eigenvalue is semi-simple if a = g. If a = 1, the eigenvalue is simple; • An eigenvalue is defective if a > g. An important class of defective eigenvalues are branch-point solutions of the characteristic function 24 , which are known as exceptional points [246,247]. Exceptional points have infinite sensitivity to infinitesimal perturbations to the system (Fig.…”
Section: Features Of Nonlinear Eigenproblemsmentioning
confidence: 99%
“…In thermoacoustics, simple gradient-based iteration algorithms are typically utilized (e.g., [40]). Contour integration was applied to solve dispersion relations in [250] and to find all the defective and non-defective eigenvalues in a given circle of the complex plane in [247,251]. The contour integration method proved numerically more robust and stable than gradient-based iteration methods, with the advantage of finding all the eigenvalues in a defined domain in the complex plane;…”
Section: Features Of Nonlinear Eigenproblemsmentioning
confidence: 99%
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