Chaotic Dynamical Systems

10 credits

Syllabus, Master's level, 1MA046

A revised version of the syllabus is available.
Code
1MA046
Education cycle
Second cycle
Main field(s) of study and in-depth level
Mathematics A1N
Grading system
Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
Finalised by
The Faculty Board of Science and Technology, 15 March 2007
Responsible department
Department of Mathematics

Entry requirements

BSc, Several Variable Calculus, Linear Algebra II, Ordinary Differential Equations I

Learning outcomes

In order to pass the course (grade 3) the student should be able to

  • give an account of important concepts and definitions in the area of the course;

  • exemplify and interpret important concepts in specific cases;

  • formulate important results and theorems covered by the course;

  • describe the main features of the proofs of important theorems;

  • express problems from relevant areas of applications in a mathematical form suitable for further analysis;

  • use the theory, methods and techniques of the course to solve mathematical problems;

  • present mathematical arguments to others.

    Higher grades, 4 or 5, require a higher level of proficiency. The student should be able to solve problems of greater complexity, i.e. problems requiring a combination of ideas and methods for their solution, and be able to give a more detailed account of the proofs of important theorems and by examples and counter-examples be able to motivate the scope of various results. Requirements concerning the student's ability to present mathematical arguments and reasoning are greater.

    Content

    Existence and uniqueness theorems for solutions of ordinary differential equations, numerical methods, flows, parameter and initial value dependence, fix points, periodic orbits, limit cycles, linearisation, stability and Lyapunov functions, phase portraits, Poincaré–Bendixson's theorem, Grönwall's lemma, Poincaré maps. Structural stability, symbolic dynamics, conjugation, bifurcation theory, stable and unstable manifolds, homoclinic phenomena, hyperbolicy, chaos and sensitive dependence on initial data, strange attractors. Applications.

    Instruction

    Lectures and problem solving sessions.

    Assessment

    Written and, possibly, oral examination at the end of the course. Moreover, compulsory assignments may be given during the course.

  • FOLLOW UPPSALA UNIVERSITY ON

    Uppsala University on Facebook
    Uppsala University on Instagram
    Uppsala University on Youtube
    Uppsala University on Linkedin