Abstract
This chapter is devoted to an overview of dynamical systems that play a fundamental role in building mathematical models of reality. After a brief introduction of modeling, we present some theorems of existence and uniqueness as well as the definitions of first integral and phase portrait. Then, we define Liapunov’s stability for autonomous systems together with some theorems of stability and instability of equilibrium. Poincare’s perturbation method is described with some applications. Finally, Weierstass’s qualitative analysis is presented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The topics contained in this chapter can also be found in [5, 6, 9, 25, 28, 29, 35, 40, 55].
- 2.
This solution is obtainable at once by the method of variable separation. However, the reader can easily verify that it is really a solution for any C.
- 3.
For the application of differential equations to economy, see, for instance, [55].
- 4.
For a proof, see, for instance, [40].
- 5.
Readers will find in [35] many programs, written using Mathematica, that allow for the analysis of many stability problems.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Romano, A., Marasco, A. (2018). An Overview of Dynamical Systems. In: Classical Mechanics with Mathematica®. Modeling and Simulation in Science, Engineering and Technology. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-77595-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-77595-1_10
Published:
Publisher Name: Birkhäuser, Cham
Print ISBN: 978-3-319-77594-4
Online ISBN: 978-3-319-77595-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)