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Asymptotic analysis of the Navier–Stokes equations in a thin domain with power-law slip boundary conditions

María Anguiano

María Anguiano

Departamento de Análisis Matemático, Facultad de Matemáticas, Universidad de Sevilla, Sevilla, Spain

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Francisco J. Suárez-Grau

Corresponding Author

Francisco J. Suárez-Grau

Departamento de Ecuaciones Diferenciales y Análisis Numérico, Facultad de Matemáticas, Universidad de Sevilla, Sevilla, Spain

Correspondence

Francisco J. Suárez-Grau, Departamento de Ecuaciones Diferenciales y Análisis Numérico, Facultad de Matemáticas, Universidad de Sevilla, 41012-Sevilla, Spain.

Email: [email protected]

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First published: 17 July 2025

Abstract

This theoretical study deals with the Navier–Stokes equations posed in a 3D thin domain with thickness 0 < ε 1 $0<\varepsilon \ll 1$ , assuming power-law slip boundary conditions, with an anisotropic tensor, on the bottom. This condition, introduced in (Djoko et al. Comput. Math. Appl. 128 (2022) 198–213), represents a generalization of the Navier slip boundary condition. The goal is to study the influence of the power-law slip boundary conditions with an anisotropic tensor of order ε γ s $\varepsilon ^{\gamma \over s}$ , with γ R $\gamma \in \mathbb {R}$ and flow index 1 < s < 2 $1<s<2$ , on the behavior of the fluid with thickness ε $\varepsilon$ by using asymptotic analysis when ε 0 $\varepsilon \rightarrow 0$ , depending on the values of γ $\gamma$ . As a result, we deduce the existence of a critical value of γ $\gamma$ given by γ s = 3 2 s $\gamma _s^*=3-2s$ and so, three different limit boundary conditions are derived. The critical case γ = γ s $\gamma =\gamma _s^*$ corresponds to a limit condition of type power-law slip. The supercritical case γ > γ s $\gamma >\gamma _s^*$ corresponds to a limit boundary condition of type perfect slip. The subcritical case γ < γ s $\gamma <\gamma _s^*$ corresponds to a limit boundary condition of type no-slip.

CONFLICT OF INTEREST STATEMENT

The authors declare no conflicts of interest.

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this paper as no datasets were generated or analyzed during the current study.

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