Efficient Solutions of Multidimensional Sixth‐Order Boundary Value Problems Using Symmetric Generalized Jacobi‐Galerkin Method

This paper presents some efficient spectral algorithms for solving linear sixth‐order two‐point boundary value problems in one dimension based on the application of the Galerkin method. The proposed algorithms are extended to solve the two‐dimensional sixth‐order differential equations. A family of symmetric generalized Jacobi polynomials is introduced and used as basic functions. The algorithms lead to linear systems with specially structured matrices that can be efficiently inverted. The various matrix systems resulting from the proposed algorithms are carefully investigated, especially their condition numbers and their complexities. These algorithms are extensions to some of the algorithms proposed by Doha and Abd‐Elhameed (2002) and Doha and Bhrawy (2008) for second‐ and fourth‐order elliptic equations, respectively. Three numerical results are presented to demonstrate the efficiency and the applicability of the proposed algorithms.