Tracking the boundary between absolute/convective instability using adjoint equations
Abstract
Determining absolute/convective instability boundaries conventionally requires repeated saddle searches in the complex-wavenumber plane and a subsequent scan of the physical parameter space to locate zero absolute growth. Such nested calculations become costly and sensitive to modal branch association for large non-normal eigenvalue problems. This work develops a direct continuation method for neutral stationary-saddle boundaries of frequency-affine generalised eigenvalue problems. The zero-group-velocity condition is expressed as an adjoint solvability residual and solved together with the direct and adjoint eigenproblems, complex gauge constraints and the neutral-growth condition. The resulting one-dimensional solution manifold in the combined state--parameter space is tracked by scaled pseudo-arclength continuation, allowing parameter folds to be crossed without switching the physical continuation variable. The formulation recovers the analytical Ginzburg--Landau boundary and, for a Gaussian-wake Orr--Sommerfeld problem, agrees with separately formulated finite-difference saddle corrections to approximately in relative critical Reynolds number. Compared with nested complex-wavenumber and parameter-plane saddle scanning, the scanning calculations require -- times the wall time of the direct adjoint continuation, with the cost increasing as the reconstructed boundary is refined. Application to a coupled Oldroyd--B free-surface film reveals genuine folds of the neutral-saddle manifold and a re-entrant CI--AI--CI boundary geometry for the selected saddle family. The results show that adjoint-augmented pseudo-arclength continuation can replace nested saddle searches and parameter-plane reconstruction by direct and computationally efficient tracking of the neutral boundary itself.
Cite
@article{arxiv.2607.08305,
title = {Tracking the boundary between absolute/convective instability using adjoint equations},
author = {Yue Xiao and Hui Li and Zijing Ding},
journal= {arXiv preprint arXiv:2607.08305},
year = {2026}
}
Comments
This paper develops a new algorithm for the AI/CI instability based on adjoint equations. It significantly accelerates the search of boundaries seperating AI and CI regions