Asymptotic stability of a system ( ordinary DE)

  • Thread starter Thread starter ODEMath
  • Start date Start date
  • Tags Tags
    Stability System
Click For Summary
SUMMARY

The discussion focuses on determining the asymptotic stability of the system represented by the ordinary differential equation x' = Ax, where A is a 3x3 matrix defined as A = [-1, 1, 1; 0, 0, 1; 0, 0, -2]. The solution to this system is given by x(t) = exp(At) x(t=0), and evaluating exp(At) using the series expansion provides insights into stability. The eigenvalues of matrix A are crucial for concluding the system's stability, and qualitative analysis methods from "Differential Equations" by Blanchard, Devaney, and Hall are recommended for deeper understanding.

PREREQUISITES
  • Understanding of ordinary differential equations (ODEs)
  • Familiarity with matrix exponentiation and its applications
  • Knowledge of eigenvalues and eigenvectors
  • Basic concepts of stability analysis in dynamical systems
NEXT STEPS
  • Calculate the eigenvalues of the matrix A = [-1, 1, 1; 0, 0, 1; 0, 0, -2]
  • Learn about matrix exponentiation techniques for solving ODEs
  • Study qualitative analysis methods in "Differential Equations" by Blanchard, Devaney, and Hall
  • Explore asymptotic stability criteria for linear systems
USEFUL FOR

Mathematicians, engineers, and students studying dynamical systems, particularly those interested in stability analysis of linear ordinary differential equations.

ODEMath
Messages
3
Reaction score
0
Determine the asymptotic stability of the system x' = Ax where

A is 3 x 3 matrix

A = -1 1 1
0 0 1
0 0 -2

( first row is -1 1 1 second is 0 0 1 and third is 0 0 -2)

More specifically, what stability conclusion(s) can be drawn? ( Justify your answer)
 
Physics news on Phys.org
ODEMath said:
Determine the asymptotic stability of the system x' = Ax where
A is 3 x 3 matrix
A = -1 1 1
0 0 1
0 0 -2
( first row is -1 1 1 second is 0 0 1 and third is 0 0 -2)
More specifically, what stability conclusion(s) can be drawn? ( Justify your answer)

The solution of this system is
x(t) = exp(At) x(t=0)
Try evaluating
exp(At) = \sum_n \frac{t^n}{n!}A^n
This matrix holds the answers to your question.
 
ODEMath said:
More specifically, what stability conclusion(s) can be drawn? ( Justify your answer)

I think analyzing this system qualitatively along the lines presented in "Differential Equations" by Blanchard, Devaney, and Hall (other books too) is a nice way of drawing conclusions about this and other systems. Try it.:smile:

Of course, first do a few 2-D ones.
 
Have you determined the eigenvalues of that matrix?
 

Similar threads

Replies
9
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
Replies
6
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
Replies
6
Views
2K
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K