Abstract
Numerical estimation for higher order eigenvalue problems are promising and has accomplished significant importance, mainly due to existence of higher order derivatives and boundary conditions relating to higher order derivatives of the unknown functions. In this article, we perform a numerical study of linear hydrodynamic stability of a fluid motion caused by an erratic gravity field. We employ two methods, collocation and spectral collocation based on Bernstein and Legendre polynomials to solve the linear hydrodynamic stability problems and Benard type convection problems. In order to handle boundary conditions, our techniques state all the unknown coefficients of boundary conditions derivatives in terms of known co-efficient. The schemes have been carried out to several test problems to establish the efficiency of the two methods.
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Abbreviations
- v:
-
Velocity field
- \( \nu \,\,\,\, \) :
-
Coefficient of kinematic viscosity
- \( {\text{k}} \) :
-
Thermal diffusivity
- \( {\text{U}} \) :
-
Amplitudes of vertical velocity
- \( {{\sigma }} \) :
-
Constant
- T :
-
Temperature
- \( {{\varTheta }} \) :
-
Perturbation constant
- \( {\text{h}} \) :
-
Depth of layer of fluid
- \( \rho \,\, \) :
-
Density of fluid
- \( {\text{p}} \) :
-
Pressure
- \( {{\alpha }}\,\, \) :
-
Thermal expansion coefficient
- \( \beta \,\,\, \) :
-
Pressure gradient
- \( {\text{a}} \) :
-
Wave number
- \( g\,\,\, \) :
-
Acceleration due to gravity
- \( {\text{Ra}} \) :
-
Nondimensional quantity (\( \,{{{{\alpha }}\,{\text{g}}\,{{\beta }}\,\,{\text{h}}^{ 4} } \mathord{\left/ {\vphantom {{{{\alpha }}\,{\text{g}}\,{{\beta }}\,\,{\text{h}}^{ 4} } {{\text{k}}\,{{\nu }}}}} \right. \kern-0pt} {{\text{k}}\,{{\nu }}}} \))
- \( \,\,\,{{\varepsilon }} \) :
-
Scale parameter
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Appendix
Appendix
Lemma
Lemma [23] Suppose that the function\( u:[0,1] \to R \)is n + 1 times continuously differentiable i.e., \( u \in C^{n + 1} \left. {\left( {[0,1]} \right)} \right) \)and\( \,\,V_{n} = span\,\,\,\left\{ {B_{0,n} (x) \, B_{1,n} (x) B_{2,n} (x)\ldots \ldots B_{n,n} (x)} \right\} \). If\( C^{T} B \)be the best approximation\( u \)out of\( {\text{V}}_{\text{n}} \), then
where, \( \gamma = \mathop {\hbox{max} }\limits_{x \in [0,1]} \,\left| {u^{n + 1} (x)} \right|\, \), \( C = \left[ {c_{.0} ,c_{1.} ,c_{2.} , \ldots ,c_{n} } \right]^{T} \)
Proof
Since, the set \( p_{n} = \left\{ {x_{1} ,x_{2} ,x_{3} , \ldots ,x_{n} } \right\} \) is a basis polynomials space of degree n.
Therefore, we define the function
From the Taylor expansion, we have
where, \( {{\alpha }}_{\text{x}} \in \left( {0,\,\,1} \right) \). Since \( C^{T} B \) be the finest estimation of \( {\text{u}} \) out of \( {\text{V}}_{\text{n}} \), \( u_{1} \in V_{n} \).
Taking the square root on both sides,
We thus proved.
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Farzana, H., Bhowmik, S.K. Comparative Study on Sixth Order Boundary Value Problems with Application to Linear Hydrodynamic Stability Problem and Benard Layer Eigenvalue Problem. Differ Equ Dyn Syst 28, 559–585 (2020). https://doi.org/10.1007/s12591-019-00509-4
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DOI: https://doi.org/10.1007/s12591-019-00509-4