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Numerical study of 1D and 2D advection-diffusion-reaction equations using Lucas and Fibonacci polynomials

Ihteram Ali, Sirajul Haq, Kottakkaran Sooppy Nisar, Shams Ul Arifeen

2021Arabian Journal of Mathematics25 citationsDOIOpen Access PDF

Abstract

Abstract In this work, a numerical scheme based on combined Lucas and Fibonacci polynomials is proposed for one- and two-dimensional nonlinear advection–diffusion–reaction equations. Initially, the given partial differential equation (PDE) reduces to discrete form using finite difference method and $$\theta -$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>θ</mml:mi><mml:mo>-</mml:mo></mml:mrow></mml:math> weighted scheme. Thereafter, the unknown functions have been approximated by Lucas polynomial while their derivatives by Fibonacci polynomials. With the help of these approximations, the nonlinear PDE transforms into a system of algebraic equations which can be solved easily. Convergence of the method has been investigated theoretically as well as numerically. Performance of the proposed method has been verified with the help of some test problems. Efficiency of the technique is examined in terms of root mean square (RMS), $$L_2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>L</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> and $$L_\infty $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>L</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:math> error norms. The obtained results are then compared with those available in the literature.

Topics & Concepts

Fibonacci numberAlgorithmConvergence (economics)MathematicsNonlinear systemDiffusionApplied mathematicsCombinatoricsPhysicsThermodynamicsQuantum mechanicsEconomicsEconomic growthFractional Differential Equations SolutionsDifferential Equations and Numerical MethodsNumerical methods for differential equations
Numerical study of 1D and 2D advection-diffusion-reaction equations using Lucas and Fibonacci polynomials | Litcius