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Local convergence of the boundary element method on polyhedral domains
Markus Faustmann1, Jens Markus Melenk1
1Institute of Analysis and Scientific Computing (Inst. E 101), TU Wien, Wiedner Hauptstraße 8-10, 1040 Vienna, Austria.
This study analyzes the boundary element method for integral equations on complex domains. Local estimates reveal convergence rates depend on solution regularity and dual problem properties.
Area of Science:
- Numerical Analysis
- Computational Mathematics
- Boundary Element Methods
Background:
- The boundary element method (BEM) is a powerful numerical technique for solving integral equations.
- Analyzing the local behavior of BEM is crucial for understanding its accuracy and convergence properties, especially on complex geometries.
- Symm's integral equation and hyper-singular integral equations are frequently encountered in various fields, including fluid dynamics and electromagnetics.
Purpose of the Study:
- To analyze the local behavior of the lowest order boundary element method for Symm's integral equation and the stabilized hyper-singular integral equation.
- To derive local a priori estimates in L² and H¹ spaces for these equations on polygonal/polyhedral Lipschitz domains.
- To investigate the factors limiting the local rate of convergence.
Main Methods:
- The study employs the lowest order boundary element method applied to quasi-uniform meshes.
- Local a priori estimates are proven in L² for Symm's integral equation and in H¹ for the hyper-singular equation.
- The analysis considers polygonal/polyhedral Lipschitz domains.
Main Results:
- Local a priori estimates in L² and H¹ are established for the analyzed integral equations.
- The local rate of convergence is shown to be dependent on the local regularity of the solution.
- The convergence rate is further influenced by the sum of global regularity and additional regularity from the shift theorem for a dual problem.
Conclusions:
- The local behavior of the boundary element method for Symm's and hyper-singular integral equations is well-characterized.
- The derived estimates provide a theoretical foundation for understanding the method's performance on complex domains.
- The findings highlight the interplay between solution regularity and numerical method convergence.
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