On Spectral Approximations for the Stability Analysis of Boundary Layers

This paper devotes to the approximation of spectral and boundary-value problems arising in the stability analysis of incompressible boundary layers. As an alternative to the collocation method with mappings, the Galerkin–collocation method based on Laguerre functions is adopted. A robust numerical implementation of the latter method is discussed. The methods are compared within the stability analysis of the Blasius and Ekman layers. The Galerkin–collocation method demonstrates an exponential convergence rate for scalar stability characteristics, and has a number of advantages.

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Publication Details

Journal
Computational Mathematics and Mathematical Physics
Published
2025-01-01
DOI
https://doi.org/10.1134/s096554252470180x
Citations
1
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
2.63
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On Spectral Approximations for the Stability Analysis of Boundary Layers

G. V. Zasko
1 citations
Computational Mathematics and Mathematical Physics
Numerical methods for differential equations
2.63
article

On Spectral Approximations for the Stability Analysis of Boundary Layers

G. V. Zasko
article en
1 citations

Abstract

This paper devotes to the approximation of spectral and boundary-value problems arising in the stability analysis of incompressible boundary layers. As an alternative to the collocation method with mappings, the Galerkin–collocation method based on Laguerre functions is adopted. A robust numerical implementation of the latter method is discussed. The methods are compared within the stability analysis of the Blasius and Ekman layers. The Galerkin–collocation method demonstrates an exponential convergence rate for scalar stability characteristics, and has a number of advantages.

Computational Mathematics and Mathematical PhysicsVol. 65(1)
Russian Academy of Sciences (RU), Institute of Numerical Mathematics (RU)
Climate action
Openalex Percentile: Top 16%
Numerical methods for differential equations
2.63
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