Abstract

We have presented an efficient spectral algorithm based on shifted Jacobi tau method of linear fifth-order two-point boundary value problems (BVPs). An approach that is implementing the shifted Jacobi tau method in combination with the shifted Jacobi collocation technique is introduced for the numerical solution of fifth-order differential equations with variable coefficients. The main characteristic behind this approach is that it reduces such problems to those of solving a system of algebraic equations which greatly simplify the problem. Shifted Jacobi collocation method is developed for solving nonlinear fifth-order BVPs. Numerical examples are performed to show the validity and applicability of the techniques. A comparison has been made with the existing results. The method is easy to implement and gives very accurate results.

Highlights

  • The solutions of fifth-order BVPs have been the subject of active research

  • The fundamental goal of this paper is to develop a direct solution algorithm for approximating the linear two-point fifth-order differential equations by shifted Jacobi tau SJT

  • We proposed a numerical algorithm to solve the general nonlinear fifth-order differential equations by using Gauss-collocation points and approximating directly the solution using the shifted Jacobi polynomials

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Summary

Introduction

The solutions of fifth-order BVPs have been the subject of active research. These problems generally arise in mathematical modeling of viscoelastic flows, physics, engineering, and other disciplines, see, e.g., 1–4. Agarwal’s book 5 contains some theorems that discuss the conditions for existence and uniqueness of the solutions of fifth-order BVPs in detail. Various powerful mathematical methods such as the sixth-degree B-spline 6 , Adomian decomposition method 7 , nonpolynomial sextic spline functions 8–12 , local polynomial regression 13 , and others 14, 15 have been proposed to obtain exact and approximate analytic solutions for linear and nonlinear problems

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