Moving Frames for the Numerical Solution of Partial Differential Equations in Complex Domains (eBook)

Computation Using Orthonormal Basis Vectors
Artikelnummer: 978-981-9544-95-0
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book presents a comprehensive and geometrical approach to solving partial differential equations (PDEs) on complex curved domains using orthonormal moving frames. Rooted in Élie Cartan's classical theory but adapted for computational practicality, the framework aligns local basis vectors with the intrinsic geometry and anisotropy of the domain, enabling accurate and efficient discretization without requiring explicit metric tensors or Christoffel symbols. Topics include the construction of moving frames on general manifolds, covariant derivatives via connection 1-forms, and frame-based formulations of gradient, divergence, curl, and Laplacian operators. Extensive MATLAB and C++ implementations (via Nektar++) are provided for benchmark problems in diffusion-reaction systems, shallow water equations, and Maxwell's equations on complex surfaces such as the sphere, pseudosphere, and atrial tissue. Emphasizing clarity and accessibility, the book blends theory, visualization, and numerical practice, making it an essential resource for graduate students and researchers in scientific computing, applied mathematics, and engineering disciplines dealing with PDEs on non-Euclidean domains.

This book presents a comprehensive and geometrical approach to solving partial differential equations (PDEs) on complex curved domains using orthonormal moving frames. Rooted in Élie Cartan's classical theory but adapted for computational practicality, the framework aligns local basis vectors with the intrinsic geometry and anisotropy of the domain, enabling accurate and efficient discretization without requiring explicit metric tensors or Christoffel symbols. Topics include the construction of moving frames on general manifolds, covariant derivatives via connection 1-forms, and frame-based formulations of gradient, divergence, curl, and Laplacian operators. Extensive MATLAB and C++ implementations (via Nektar++) are provided for benchmark problems in diffusion-reaction systems, shallow water equations, and Maxwell's equations on complex surfaces such as the sphere, pseudosphere, and atrial tissue. Emphasizing clarity and accessibility, the book blends theory, visualization, and numerical practice, making it an essential resource for graduate students and researchers in scientific computing, applied mathematics, and engineering disciplines dealing with PDEs on non-Euclidean domains.

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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2025
Seitenangabe248 S.
AusgabekennzeichenEnglisch
AbbildungenXVII, 248 p. 186 illus., 102 illus. in color.
Masse33'594 KB
PlattformPDF
ReiheSpringer Asia Pacific Mathematics Series; Mathematics and Statistics; Mathematics and Statistics
AutorChun, Sehun

Alle Bände der Reihe "Springer Asia Pacific Mathematics Series; Mathematics and Statistics; Mathematics and Statistics (R0)"

Über den Autor Sehun Chun

Sehun Chun is an associate professor of Applied Mathematics at Yonsei University.

Weitere Titel von Sehun Chun

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