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Arbitrary-order intrinsic virtual element method for elliptic equations on surfaces
Elena Bachini1,2, Gianmarco Manzini3, Mario Putti4
1Department of Geosciences and Department of Mathematics "Tullio Levi-Civita", University of Padua, Padua , Italy.
This study introduces a novel Virtual Element Method (VEM) for solving partial differential equations on surfaces. The new approach accurately models surface geometry without explicit approximation, enhancing numerical solutions.
Area of Science:
- Computational Mathematics
- Numerical Analysis
- Differential Geometry
Background:
- Solving partial differential equations (PDEs) on curved surfaces presents significant computational challenges.
- Existing numerical methods often require explicit surface meshing or approximations, which can introduce errors.
- The Virtual Element Method (VEM) offers a flexible framework for discretizing complex geometries.
Purpose of the Study:
- To develop a geometrically intrinsic formulation of the arbitrary-order Virtual Element Method (VEM) for elliptic surface PDEs.
- To enable accurate numerical solutions without explicit surface geometry approximation.
- To extend the theoretical properties of VEM to discretizations on surfaces.
Main Methods:
- Formulation of elliptic surface PDEs in covariant form using local reference systems.
- Application of a two-dimensional VEM scheme leveraging local parametrization.
- Extension of classical VEM theoretical properties to handle anisotropic discretizations.
Main Results:
- Demonstrated the effectiveness of the geometrically intrinsic VEM formulation on polygonal cells.
- Validated theoretical properties through extensive testing on triangular and polygonal meshes with manufactured solutions.
- Identified limitations related to surface regularity and approximation accuracy.
Conclusions:
- The proposed VEM formulation provides a robust and accurate method for solving PDEs on surfaces.
- The intrinsic approach avoids explicit surface approximation, simplifying the numerical solution process.
- Further research can explore the method's performance on more complex surfaces and PDE types.
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