A Numerical Approach with Residual Error Estimation for Eolution of High-order Linear Differential-difference Equations by Using Gegenbauer Polynomials
Author(s) -
Tuğçe Mollaoğlu,
Mehmet Sezer
Publication year - 2017
Publication title -
celal bayar üniversitesi fen bilimleri dergisi
Language(s) - English
Resource type - Journals
eISSN - 1305-1385
pISSN - 1305-130X
DOI - 10.18466/cbayarfbe.302638
Subject(s) - mathematics , gegenbauer polynomials , residual , mathematical analysis , differential equation , jacobi polynomials , collocation (remote sensing) , classical orthogonal polynomials , boundary value problem , orthogonal polynomials , algorithm , computer science , machine learning
The main aim of this study is to apply the Gegenbauer polynomials for the solution of high-order linear differential difference equations with functional arguments under initial-boundary conditions.The technique we have used is essentially based on the truncated Gegenbauer series and its matrix representations along with collocation points. Also, by using the Mean-Value Theorem and residual function, an efficient error estimation technique is proposed and some illustrative examples are presented to demonstrate the validity and applicability of the method.
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