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Center Manifold Theory - Computing Center Manifolds

Ross Dynamics Lab via YouTube

Overview

This course on Center Manifold Theory focuses on teaching the theory and computation of center manifolds for continuous dynamical systems with equilibrium points having stable and center directions. The learning outcomes include understanding the Taylor series approximation of the center manifold, analyzing dynamics restricted to the center manifold, and determining stability of equilibrium points. Students will learn skills such as computing center manifolds, performing Taylor series expansions, and evaluating vector fields on the center manifold. The teaching method involves lectures with examples, computations, and explanations of theoretical concepts. This course is intended for individuals interested in nonlinear dynamics, bifurcations, and applied mathematics, particularly those with a background in dynamical systems or differential equations.

Syllabus

â–º Jump to center manifold theory computations: .
Center Manifold Theory introduction.
Motivation from linear vector fields with block diagonal matrix D=diag{A,B} where A has only eigenvalues of zero real part and B is a matrix having only eigenvalues of negative real part. We need to focus on exp(A*t) to know the stability of the equilibrium..
Nonlinear case, expanding about an equilibrium point. Need to know the nonlinear vector field along the center manifold..
Center manifold theory computation.
Approximate the center manifold locally as a function and do a Taylor series expansion to obtain it.
Vector field on the center manifold.
the tangency condition, main computational 'workhouse'.
2D example: two-dimensional system where stability of the origin is not obvious.
Why not do a tangent space (Galerkin) approximation for center manifold dynamics?.
3D example with 2D center manifold.

Taught by

Ross Dynamics Lab

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