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Dynamics of nonlinear systems - course description

General information
Course name Dynamics of nonlinear systems
Course ID 13.2-WF-FizD-DNS-S19
Faculty Faculty of Physics and Astronomy
Field of study Physics
Education profile academic
Level of studies Second-cycle studies leading to MS degree
Beginning semester winter term 2019/2020
Course information
Semester 2
ECTS credits to win 3
Available in specialities Computer Physics
Course type obligatory
Teaching language english
Author of syllabus
  • prof. dr hab. Andrzej Maciejewski
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Lecture 30 2 - - Exam

Aim of the course

The aim of the course is to familiarize students with methods and fundamental facts of the theory of nonlinear dynamical systems with continuous and discrete time.

Prerequisites

Mathematical Analysis I and II, algebraic and geometric methods in physics, mathematical methods of physics, classical mechanics

Scope

1. Basic concepts of the theory of ordinary differential equations.

2. Linear differential equations.

3. Singular points, invariant sets and attractors of differential equations.

4. Stability in the Lyapunov sense and linearization.

5. Stability of linear systems with constant coefficients.

6. Periodic solutions and their stability.

7. Methods of numerical investigations of differential equations: Poincare cross-section, Lyapunov exponents.

8. Examples of systems with chaotic behavior.

9. Invariant sets and bifurcations

10. Basic notions of dynamical systems with dicrete time: orbits, periodic points, limit sets.

11. Examples of dynamical systems with discrete time: logistic and baker maps, Bernoulli shifts, Henon map.

12. Investigation of the logistic map.

14. Basic notions of fractals geometry. The Mandelbrota and Julia sets

Teaching methods

Conventional, conversational and problem lecture

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

The exam consists of theoretical questions and short tasks to solve and verifies the learning outcomes in terms of knowledge and skills. Obtaining 50% of points guarantees a positive grade.

Recommended reading

  1. W. I. Arnold „Równania Różniczkowe Zwyczajne”, PWN, 1975, eng. V.I. Arnold, Ordinary Differential Equations, Springer, 1992
  2. J. Ombach „Wykłady z Równań Różniczkowych”, Wyd. UJ Kraków, (Wyd II) 1999
  3. E. Ott, Chaos w układach dynamicznych, WNT, 1997, eng. E. Ott, Chaos in Dynamical Systems, Cambridge University Press, 2nd ed., 2000
  4. H. G. Schuster, Chaos deterministyczny, PWN, Warszawa 1993, eng. H. G. Schuster, Deterministic Chaos, 4th ed., Wiley, 2005
  5. Materials provided by a lecturer

Further reading

  1. R. L. Devaney, An Introduction to Chaotic Dynamical Systems, 2003

  2. L. Perko, Differential Equations and Dynamical Systems, Springer-Verlag New York 2001

Notes


Modified by dr hab. Maria Przybylska, prof. UZ (last modification: 05-03-2020 17:12)