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Research Article | Open Access

Optimal error estimates and superconvergence analysis of an ultra-weak discontinuous Galerkin method for nonlinear second-order initial-value problems for ODEs

Department of Mathematical and Statistical Sciences, University of Nebraska at Omaha, Omaha, NE 68182, USA
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Abstract

The primary focus of this study was to analyze the convergence and superconvergence properties of an ultra-weak discontinuous Galerkin (UWDG) method for nonlinear second-order initial-value problems (IVPs) for ordinary differential equations (ODEs) of the form u + ( g ( x , u ) ) = f ( x , u ) , x [ a , b ] , subject to u ( a ) = α and u ( a ) = β. By carefully choosing suitable numerical fluxes and employing a special projection, we established optimal error estimates in the L 2 -norm. The order of convergence was proved to be p + 1, when utilizing piecewise polynomials of degree at most p. We further proved that the UWDG solution was superconvergent of order p + 2 for p 2 toward a special projection of the exact solution. Additionally, we proved that the p-degree UWDG solution and its derivative were O ( h 2 p ) superconvergent at the end of each step. Our proofs were valid for arbitrary uniform or non-uniform partitions of the domain using piecewise polynomials with degree p 2. Finally, several numerical examples were provided to validate all theoretical results. It is worth noting that the proposed UWDG method offers a significant advantage for second-order differential equations, as it can be applied directly without introducing auxiliary variables or reformulating the equation as a first-order system. This advantage reduces memory and computational costs.

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Electronic Research Archive
Pages 6971-6997

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Cite this article:
Baccouch M. Optimal error estimates and superconvergence analysis of an ultra-weak discontinuous Galerkin method for nonlinear second-order initial-value problems for ODEs. Electronic Research Archive, 2025, 33(11): 6971-6997. https://doi.org/10.3934/era.2025307

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Received: 22 September 2025
Revised: 06 November 2025
Accepted: 13 November 2025
Published: 18 November 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)