Citation
Leok, Melvin (2004) Foundations of Computational Geometric Mechanics. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/KDV0-WR34. https://resolver.caltech.edu/CaltechETD:etd-03022004-000251
Abstract
Geometric mechanics involves the study of Lagrangian and Hamiltonian mechanics using geometric and symmetry techniques. Computational algorithms obtained from a discrete Hamilton's principle yield a discrete analogue of Lagrangian mechanics, and they exhibit excellent structure-preserving properties that can be ascribed to their variational derivation.
We construct discrete analogues of the geometric and symmetry methods underlying geometric mechanics to enable the systematic development of computational geometric mechanics. In particular, we develop discrete theories of reduction by symmetry, exterior calculus, connections on principal bundles, as well as generalizations of variational integrators.
Discrete Routh reduction is developed for abelian symmetries, and extended to systems with constraints and forcing. Variational Runge-Kutta discretizations are considered in detail, including the extent to which symmetry reduction and discretization commute. In addition, we obtain the Reduced Symplectic Runge-Kutta algorithm, which is a discrete analogue of cotangent bundle reduction.
Discrete exterior calculus is modeled on a primal simplicial complex, and a dual circumcentric cell complex. Discrete notions of differential forms, exterior derivatives, Hodge stars, codifferentials, sharps, flats, wedge products, contraction, Lie derivative, and the Poincar?emma are introduced, and their discrete properties are analyzed. In examples such as harmonic maps and electromagnetism, discretizations arising from discrete exterior calculus commute with taking variations in Hamilton's principle, which implies that directly discretizing these equations yield numerical schemes that have the structure-preserving properties associated with variational schemes.
Discrete connections on principal bundles are obtained by introducing the discrete Atiyah sequence, and considering splittings of the sequence. Equivalent representations of a discrete connection are considered, and an extension of the pair groupoid composition that takes into account the principal bundle structure is introduced. Discrete connections provide an intrinsic coordinatization of the reduced discrete space, and the necessary discrete geometry to develop more general discrete symmetry reduction techniques.
Generalized Galerkin variational integrators are obtained by discretizing the action integral through appropriate choices of finite-dimensional function space and numerical quadrature. Explicit expressions for Lie group, higher-order Poincaré, higher-order symplectic-energy-momentum, and pseudospectral variational integrators are presented, and extensions such as spatio-temporally adaptive and multiscale variational integrators are briefly described.
Item Type: | Thesis (Dissertation (Ph.D.)) | ||||
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Subject Keywords: | discrete geometry; geometric integrators; geometric mechanics; mimetic discretizations; reduction theory; structure-preserving integrators; variational integrators | ||||
Degree Grantor: | California Institute of Technology | ||||
Division: | Engineering and Applied Science | ||||
Major Option: | Control and Dynamical Systems | ||||
Minor Option: | Applied And Computational Mathematics | ||||
Thesis Availability: | Public (worldwide access) | ||||
Research Advisor(s): |
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Thesis Committee: |
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Defense Date: | 6 May 2004 | ||||
Non-Caltech Author Email: | mleok (AT) math.ucsd.edu | ||||
Record Number: | CaltechETD:etd-03022004-000251 | ||||
Persistent URL: | https://resolver.caltech.edu/CaltechETD:etd-03022004-000251 | ||||
DOI: | 10.7907/KDV0-WR34 | ||||
ORCID: |
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Default Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||
ID Code: | 831 | ||||
Collection: | CaltechTHESIS | ||||
Deposited By: | Imported from ETD-db | ||||
Deposited On: | 20 May 2004 | ||||
Last Modified: | 03 Feb 2021 23:16 |
Thesis Files
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PDF (front_matter_mleok.pdf)
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