A novel semi-implicit finite difference approach for the Sobolev equation with generalized Burgers-type nonlinear term
Kexin Li,
Hao Zhang,
Omid Nikan and
Wenlin Qiu
Mathematics and Computers in Simulation (MATCOM), 2026, vol. 244, issue C, 181-195
Abstract:
This paper investigates the approximate solution of the Sobolev equation with generalized Burgers-type nonlinear term. For this purpose, a backward Euler (BE) semi-implicit difference approach is proposed, whose primary advantage is that, unlike general implicit finite difference (FD) schemes, it circumvents the necessity of iterative methods in computation and greatly reduces computing costs. A rigorous numerical analysis of the proposed strategy is then conducted based on the energy method. Specifically, the existence, uniqueness, and boundedness of the approximate solution are established via the Leray–Schauder theorem and discrete Sobolev’s inequality. Furthermore, the convergence and perturbation stability of the proposed strategy are derived using the discrete Gronwall inequality. Finally, the theoretical findings are corroborated through several numerical examples.
Keywords: Generalized Burgers-type nonlinearity; Sobolev equation; Semi-implicit method; Existence and uniqueness; Boundedness; Convergence and stability (search for similar items in EconPapers)
Date: 2026
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475425005555
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:244:y:2026:i:c:p:181-195
DOI: 10.1016/j.matcom.2025.12.024
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().