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Improved pseudospectral approximation for nonlinear parabolic equation

  • Harvindra Singh and Lokendra Kumar Balyan
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Abstract

This study addresses the persistent challenge of nonlinear equations in various scientific fields by presenting an efficient solution to the nonlinear parabolic (Burgers) equation. We employ a collocation-based Chebyshev spectral method, utilizing the Chebyshev Gauss–Lobatto (CGL) points, to approximate the equation. By discretization, the original nonlinear equation is transformed into a system of ordinary differential equations (ODEs), which is solved using the fourth-order Runge–Kutta method. Our numerical experiments illustrate the superior effectiveness and robustness of our approach compared to existing methods. This methodology offers a promising solution for tackling nonlinear equations and provides a versatile framework applicable across diverse scientific domains.

Abstract

This study addresses the persistent challenge of nonlinear equations in various scientific fields by presenting an efficient solution to the nonlinear parabolic (Burgers) equation. We employ a collocation-based Chebyshev spectral method, utilizing the Chebyshev Gauss–Lobatto (CGL) points, to approximate the equation. By discretization, the original nonlinear equation is transformed into a system of ordinary differential equations (ODEs), which is solved using the fourth-order Runge–Kutta method. Our numerical experiments illustrate the superior effectiveness and robustness of our approach compared to existing methods. This methodology offers a promising solution for tackling nonlinear equations and provides a versatile framework applicable across diverse scientific domains.

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