Stable matrices and their determinants

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SUMMARY

The discussion focuses on the stability of a dynamical system defined by the equation x(t+1) = Ax(t), where A is a real n x n matrix. It concludes that if |det(A)| ≥ 1, the zero state is unstable, while if |det(A)| < 1, the zero state is stable. The relationship between the determinant and stability is clarified, emphasizing the importance of eigenvalues in determining stability rather than solely relying on the determinant.

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  • Understanding of dynamical systems and state equations
  • Knowledge of matrix determinants and their properties
  • Familiarity with eigenvalues and eigenvectors
  • Basic concepts of stability in linear systems
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  • Study the relationship between eigenvalues and stability in linear systems
  • Explore Lyapunov stability criteria for dynamical systems
  • Learn about the implications of matrix norms on stability
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Homework Statement


Consider a dynamical system x(t+1) = Ax(t),, where A is a real n x n matrix.
(a) If |det(A)| > or equal to one, what can you say about the stability of the zero state?
(b) If |det(A)| < 1, what can you say about the stability of the zero state?


Homework Equations





The Attempt at a Solution


I have worked with various matrices knowing if they are stable or not and the value of the determinants, but from what I can see, there exists no relation between the determinant and the stability of the matrix, so basically, where to go from here?
 
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I am used to look at such questions by taking the eigenvectors as basis.
Then everything is understood on the basis of simple numbers: the eigenvalues.
 

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