2019
DOI: 10.1017/jfm.2019.275
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Identifying linear absolute instabilities from differential eigenvalue problems using sensitivity analysis

Abstract: Identifying the convective/absolute instability nature of a local base flow requires an analysis of its linear impulse response. One must find the appropriate singularity in the eigenvalue problem with complex frequencies and wavenumbers and prove causality. One way to do so is to show that the appropriate integration contour of this response, a steepest decent path through the relevant singularity, exists. Due to the inherent difficulties of such a proof, one often verifies instead whether this singularity sa… Show more

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Cited by 16 publications
(7 citation statements)
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“…The reader is referred to recent in depth reviews for more information about absolute instability calculations (Alves et al. 2019; Barletta 2019).…”
Section: Analysis Methodologymentioning
confidence: 99%
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“…The reader is referred to recent in depth reviews for more information about absolute instability calculations (Alves et al. 2019; Barletta 2019).…”
Section: Analysis Methodologymentioning
confidence: 99%
“…Identifying the transition to absolute instability can be computationally quite intensive when employing classical techniques, e.g. finding the steepest descent curve or verifying the collision criterion, unless saddle points can be cheaply calculated a priori (Alves et al 2019). In the present case, this can be done by applying the zero group velocity conditions to the dispersion relation, coupling it with auxiliary dispersion relations that can identify saddle points.…”
Section: Absolute Instability Analysismentioning
confidence: 99%
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“…We identify upstream and downstream modes in equations ( 7)-( 8) through the eigenshuffle [43] function, which tracks the variation of each eigenvalue numerically based on its continuity with varying parameter 𝜂. This numerical method is selected because analytical tracking is typically challenging; see e.g., Alves et al [44]. For results in this work, we use 60 logarithmically spaced values in the range 𝜂 + ∈ [10 −3 , 10] to approximate 𝜂 → ∞ in equations ( 7)- (8).…”
Section: A Numerical Methodsmentioning
confidence: 99%
“…This eigenvalue problem was solved numerically by considering disturbances in the form of longitudinal rolls (k x = 0, k y = k), transverse rolls (k x = k, k y = 0) and oblique rolls (k x = 0, k y = 0) by means of a shooting method (please refer to [14,29] for details on the numerical method).…”
Section: Governing Equations and Linear Stability Analysismentioning
confidence: 99%