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Lie groups, differential equations and moving frames
Peter J. Olver
University of Minnesota
- In this series of lectures, I will begin with an introduction to the
theory of Lie groups and differential equations, following chapters 2 & 3
of my Springer text. Applications include computation of symmetries
and conservation laws, integration of ordinary differential equations,
and determination of explicit solutions of partial differential
equations, of use in checking numerical algorithms. Then I will
discuss a new, general approach to the geometric method of moving frames.
The method is surprisingly elementary, completely algorithmic, and can be
readily applied to completely general Lie group (and even pseudo-group)
actions. The resulting theory and applications lead to a remarkably
wide range of applications in geometry, algebra, differential equations,
the calculus of variations, computer vision and geometric integration.
Particular topics include classification and syzygies of differential
invariants and joint invariants, computation of invariant variational
problems and invariant differential equations, equivalence, symmetry and
rigidity properties of submanifolds, applications to polynomials in
classical invariant theory, applications to object recognition in
computer vision, and the design of symmetry-preserving numerical
algorithms.
Prerequisites: Basic knowledge of Lie groups, manifolds and vector
fields.
Key references:
- Olver, P.J.; Applications of Lie Groups to Differential Equations; Second
Edition, Graduate Texts in Mathematics, vol. 107, Springer--Verlag, New
York, 1993
- Olver, P.J.; Moving frames
--- in geometry, algebra, computer vision, and
numerical analysis; Foundations of Computational Mathematics; R. DeVore,
A. Iserles and E. Suli, eds., London Math. Soc. Lecture Note Series, vol.
284, Cambridge University Press, Cambridge, 2001, pp. 267--297
- Olver, P.J.; Geometric foundations of numerical algorithms and symmetry;
Appl. Alg. Engin. Commun. Comput.; 11 (2001) 417--436
The slides of the lectures will be soon available on Peter Olver's web page.
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