Difference between revisions of "Math 635: Dynamical Systems"
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=== Description === | === Description === | ||
| − | + | (A rigorous treatment of the theory of dynamical systems.?) | |
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== Desired Learning Outcomes == | == Desired Learning Outcomes == | ||
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=== Minimal learning outcomes === | === Minimal learning outcomes === | ||
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Students should achieve mastery of the topics | Students should achieve mastery of the topics | ||
below. This means that they should know all relevant definitions, | below. This means that they should know all relevant definitions, | ||
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given by the instructor. | given by the instructor. | ||
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| + | <div style="-moz-column-count:2; column-count:2;"> | ||
# Topological dynamical systems | # Topological dynamical systems | ||
#* Nonwandering set, chain recurrence | #* Nonwandering set, chain recurrence | ||
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#* Subshifts of finite type | #* Subshifts of finite type | ||
#* Perron-Frobenius theorem | #* Perron-Frobenius theorem | ||
| − | #* Topological entropy for subshifts of finite type | + | #* Topological entropy for subshifts of finite type<br><br><br> |
# Hyperbolic dynamical systems | # Hyperbolic dynamical systems | ||
#* Hartman-Grobman theorem | #* Hartman-Grobman theorem | ||
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#* Real quadratic maps | #* Real quadratic maps | ||
#* Expanding endomorphisms | #* Expanding endomorphisms | ||
| + | </div> | ||
| + | === Textbooks === | ||
| + | |||
| + | Possible textbooks for this course include (but are not limited to): | ||
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| + | * | ||
=== Additional topics === | === Additional topics === | ||
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These are at the instructor's discretion as time allows examples are: Ergodic theory, Markov partitions, Sharkovsky theorem, Hamiltonian dynamics, and measure theoretic entropy. | These are at the instructor's discretion as time allows examples are: Ergodic theory, Markov partitions, Sharkovsky theorem, Hamiltonian dynamics, and measure theoretic entropy. | ||
| − | === | + | === Recommended texts === |
| − | + | Dynamical Systems, stability, symbolic dynamics, and chaos, by Clark Robinson; Introduction to Dynamical Systems, by Michael Brin and Garrett Stuck | |
| + | === Courses for which this course is prerequisite === | ||
None. | None. | ||
| + | |||
| + | [[Category:Courses|635]] | ||
Latest revision as of 16:44, 3 April 2013
Contents
Catalog Information
Title
Dynamical Systems.
Credit Hours
3
Prerequisite
Description
(A rigorous treatment of the theory of dynamical systems.?)
Desired Learning Outcomes
This course is aimed at graduate students in Mathematics as well as graduate students in Physics and Engineering. This course contributes to all the expected learning outcomes of the Mathematics M.S. and Ph.D. The topics include topological, symbolic, and hyperbolic dynamical systems.
Prerequisites
Students are expected to have completed Math 634. This will provide the students with an understanding on the theory of ordinary differential equations.
Minimal learning outcomes
Students should achieve mastery of the topics below. This means that they should know all relevant definitions, full statements of the major theorems, and examples of the various concepts. Further, students should be able to solve non-trivial problems related to these concepts, and prove theorems in analogy to proofs given by the instructor.
- Topological dynamical systems
- Nonwandering set, chain recurrence
- Topological mixing and transitivity
- Expansive systems
- Topological entropy
- Topological and smooth conjugacy
- Symbolic dynamical systems
- Subshifts of finite type
- Perron-Frobenius theorem
- Topological entropy for subshifts of finite type
- Hyperbolic dynamical systems
- Hartman-Grobman theorem
- Stable manifold theorem
- Hyperbolic sets
- Anosov diffeomorphisms
- Smale Horseshoe and transverse homoclinic points
- Shadowing
- Axiom A dynamical systems and spectral decomposition
- Low dimensional dynamical systems
- Circle homeomorphisms, circle diffeomorphisms, and rotation number
- Real quadratic maps
- Expanding endomorphisms
Textbooks
Possible textbooks for this course include (but are not limited to):
Additional topics
These are at the instructor's discretion as time allows examples are: Ergodic theory, Markov partitions, Sharkovsky theorem, Hamiltonian dynamics, and measure theoretic entropy.
Recommended texts
Dynamical Systems, stability, symbolic dynamics, and chaos, by Clark Robinson; Introduction to Dynamical Systems, by Michael Brin and Garrett Stuck
Courses for which this course is prerequisite
None.
