Role of eigenvalues in phase portraits

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SUMMARY

The discussion centers on the significance of eigenvalues in the analysis of phase portraits within dynamical systems. It establishes that the eigenvalues of the linearization of an ordinary differential equation (ODE) around a fixed point are crucial for determining the stability of that point. Specifically, the real part of the eigenvalues indicates stability: a positive real part signifies instability, a negative real part indicates stability, and a zero real part suggests indeterminate stability. The classification of fixed points in 2D dynamical systems is further elaborated through the trace and determinant of the linearization.

PREREQUISITES
  • Understanding of dynamical systems and phase portraits
  • Familiarity with ordinary differential equations (ODEs)
  • Knowledge of eigenvalues and their properties
  • Basic concepts of linear algebra, including trace and determinant
NEXT STEPS
  • Study the role of eigenvalues in stability analysis of dynamical systems
  • Explore the classification of fixed points using trace and determinant in 2D systems
  • Investigate practical applications of real and imaginary eigenvalues in physical systems
  • Learn about Euler's formula and its implications in complex eigenvalue solutions
USEFUL FOR

This discussion is beneficial for mathematicians, physicists, and engineers involved in the study of dynamical systems, particularly those focusing on stability analysis and phase portrait interpretation.

bhatiaharsh
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Hi,

In the study of dynamical systems, phase portraits play an important role. However, in almost all related text, I only see some standard examples like prey-predator, pendulum etc. I have a rather unclear thought in my head regarding the role of real/imaginary eigenvalues in the system. What role do they play with respect to the system dynamics ? Are there any physical systems that you know of, which only deal with either real or imaginary eigenvalues ? Or any practical cases where one would "want" to deal with anyone of those ?
 
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Euler's formula e^{it}=\cos{t }+ i \sin{t}.
So if the eigenvalue is a complex number, the solution will have sinusoidal functions I think.
 
bhatiaharsh said:
Hi,

In the study of dynamical systems, phase portraits play an important role. However, in almost all related text, I only see some standard examples like prey-predator, pendulum etc. I have a rather unclear thought in my head regarding the role of real/imaginary eigenvalues in the system. What role do they play with respect to the system dynamics ?

The eigenvalues of the linearization of an ODE about a fixed point determine the stability of the fixed point. The important factor is not whether the eigenvalues are real or complex, but whether the real part of an eigenvalue is positive (unstable direction), negative (stable direction) or zero (indeterminate at linear order).

http://www.augustana.uAlberta.ca/~hackw/mat332/exhibit/fxdpt2d.html gives a classification of fixed points (other than degenerate cases) in 2D dynamical systems according to the trace and determinant of the linearization. Bear in mind that for a 2x2 matrix M with eigenvalues \lambda_1, \lambda_2,
<br /> \mathrm{Tr}\,M = \lambda_1 + \lambda_2,\quad \det M = \lambda_1 \lambda_2.<br />
 

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