Theory and Computations for the Nonlinear Burgers' Equation via the Use of Sinc-Galerkin Method

Anwar Al-Momani, Kamel Al-Khaled*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this research, Burgers' equation, which is well known to be nonlinear partial differential equation, has many applications for studying some physical phenomena in the disciplines we mention, water waves, plasma waves, and ion acoustic plasma waves. The paper demonstrates a comprehensive performance assessment for the use of sinc methodology to solve Burgers' equation; the method used in this research depends mainly on the use of the sinc function as a basis, where the equation under consideration was converted into an integral equation of Volterra type. Then, the x-derivatives were approximated and replaced by their corresponding sinc matrices and the resulting integral equation was also treated by approximating the integral via the use of definite integral formula for sinc functions. The method used is the sinc method, taking into account the domain on the x-axis and the time axis tt, where transformation functions intervened to make the problem applicable in their domains. The solution has been converted into an algebraic equation that is easy to deal with through any iterative method. As for the proof, the convergence of the resulting solution has been proven using the fixed-point method. It turns out that the approximate solution to the problem under consideration converges to the exact solution with an exponential order. Some examples were presented, and the effectiveness and accuracy of the method were shown by displaying the results in tables and graphs, which showed the efficacy and ease of the sinc method.

Original languageEnglish
Article number6073471
Pages (from-to)6073471:1-6073471:10
Number of pages10
JournalJournal of Electrical and Computer Engineering
Volume2022
DOIs
Publication statusPublished - Apr 12 2022
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • General Computer Science
  • Electrical and Electronic Engineering

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