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March 18, 2026Axioms0 citationsOpen Access

A New Model Dimension Reduction Technique Based on Finite Volume Element and Proper Orthogonal Decomposition for Solving the 2D Hyperbolic Equation

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YLYuejie LiJYJie YangZLZhendong Luo

Key Points

  • This research aims to develop a new model dimension reduction technique for solving the 2D hyperbolic equation using finite volume elements and proper orthogonal decomposition.
  • Reviewed FVE method's stability and accuracy characteristics.
  • Established a new FVEMDR formulation using POD to reduce dimensionality.
  • Conducted numerical simulations to validate theoretical findings.
  • Validated theoretical results pertaining to existence and stability of FVEMDR solutions.
  • Showed improved accuracy through the new formulation in numerical tests.

Abstract

This article mainly researches the model dimension reduction in the finite volume element (FVE) method based on proper orthogonal decomposition (POD) for the two-dimensional (2D) hyperbolic equation. For this objective, an FVE method with unconditional stability and second-order temporal accuracy, and the existence, stability, and error estimates of the FVE solutions are first reviewed. Thereafter, most importantly, a new FVF model dimension reduction (FVEMDR) formulation is established by applying POD technology to lower the dimension of the vectors composed of unknown coefficients for the FVE solutions. The greatest contribution of this article is the theoretical analysis of the existence, unconditional stability, and error estimations for the FVEMDR solutions. Moreover, in computation, two sets of numerical simulations are provided to confirm the validity of the theoretical results and show the effectiveness of the FVEMRD formulation.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69ba431a4e9516ffd37a40a8https://doi.org/10.3390/axioms15030223
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