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Main Authors: Hu, Wenbo, Xia, Yinhua
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2511.09099
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author Hu, Wenbo
Xia, Yinhua
author_facet Hu, Wenbo
Xia, Yinhua
contents In this paper, we propose and analyze a high-order finite volume method for the Poisson problem based on the reduced discontinuous Galerkin (RDG) space. The main idea is to employ the RDG space as the trial space and the piecewise constant space as the test space, thereby formulating the scheme in a Petrov-Galerkin framework. This approach inherits the local conservation property of finite volume methods while benefiting from the approximation capabilities of discontinuous Galerkin spaces with significantly fewer degrees of freedom. We establish a rigorous error analysis of the proposed scheme: in particular, we prove optimal-order convergence in the DG energy norm and suboptimal-order convergence in \(L^2\) norm. The theoretical analysis is supported by a set of one- and two-dimensional numerical experiments with Dirichlet and periodic boundary conditions, which confirm both the accuracy and efficiency of the method. The significance of this work lies in bridging finite volume and discontinuous Galerkin methodologies through the RDG space, thus enabling finite volume schemes with a mathematically rigorous convergence theory.
format Preprint
id arxiv_https___arxiv_org_abs_2511_09099
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Finite Volume Analysis of the Poisson Problem via a Reduced Discontinuous Galerkin Space
Hu, Wenbo
Xia, Yinhua
Numerical Analysis
65N08, 65N30
In this paper, we propose and analyze a high-order finite volume method for the Poisson problem based on the reduced discontinuous Galerkin (RDG) space. The main idea is to employ the RDG space as the trial space and the piecewise constant space as the test space, thereby formulating the scheme in a Petrov-Galerkin framework. This approach inherits the local conservation property of finite volume methods while benefiting from the approximation capabilities of discontinuous Galerkin spaces with significantly fewer degrees of freedom. We establish a rigorous error analysis of the proposed scheme: in particular, we prove optimal-order convergence in the DG energy norm and suboptimal-order convergence in \(L^2\) norm. The theoretical analysis is supported by a set of one- and two-dimensional numerical experiments with Dirichlet and periodic boundary conditions, which confirm both the accuracy and efficiency of the method. The significance of this work lies in bridging finite volume and discontinuous Galerkin methodologies through the RDG space, thus enabling finite volume schemes with a mathematically rigorous convergence theory.
title Finite Volume Analysis of the Poisson Problem via a Reduced Discontinuous Galerkin Space
topic Numerical Analysis
65N08, 65N30
url https://arxiv.org/abs/2511.09099