How Do We Define Stability in a Dynamically Growing System?

In summary, we discussed a dynamical system with a matrix A and a vector x, where x always grows as time goes on. We explored the concept of stability in this system, defining it as a small change in the initial condition leading to a solution that tends to 0 as t approaches infinity. We found that this system is unstable, as it is bound to have an eigenvalue with a corresponding eigenvector that causes the solution to diverge. Alternatively, we looked at a different definition of stability that requires the solution to be continuous, which this system satisfies.
  • #1
nacadaryo
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Suppose we have a dynamical system [itex]x_{t+1} = Ax_{t}[/itex] where [itex]A[/itex] is matrix, [itex]x[/itex] is vector. We suppose that $x$ always grow as time goes on.

If we treat equilibrium as the whole time evolution(path) of [itex]x[/itex] given [itex]x_0 = a[/itex] and no disturbance to the value of [itex]x[/itex] - that is $x$ follows from the initial condition, how would we be able to define stability of the system? What would be the equation?
 
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  • #2
nacadaryo said:
Suppose we have a dynamical system [itex]x_{t+1} = Ax_{t}[/itex] where [itex]A[/itex] is matrix, [itex]x[/itex] is vector. We suppose that $x$ always grow as time goes on.

I think you mean that [itex]\|x_t\|[/itex] grows.

If we treat equilibrium as the whole time evolution(path) of [itex]x[/itex] given [itex]x_0 = a[/itex] and no disturbance to the value of [itex]x[/itex] - that is $x$ follows from the initial condition, how would we be able to define stability of the system? What would be the equation?

What do you mean by stability? Do you mean that a small change in the initial condition tends to 0 as [itex]t \to \infty[/itex]? The formal expression of that is that the solution starting at [itex]x_0[/itex] is stable if and only if there exists some [itex]\epsilon > 0[/itex] such that for any solution [itex]y_t[/itex] starting at [itex]y_0[/itex], if [itex]\|y_0 - x_0\| < \epsilon[/itex] then [itex]\|y_t - x_t\| \to 0[/itex] as [itex]t \to \infty[/itex].

If so your system is unstable, since for [itex]\|x_t\|[/itex] to grow there must exist an eigenvalue [itex]\lambda[/itex] of A such that [itex]|\lambda| > 1[/itex]. This eigenvalue has a corresponding eigenvector [itex]v[/itex], and we can assume that [itex]\|v\| = 1[/itex]. Let [itex]\epsilon > 0[/itex], and [itex]y_0 = x_0 + \frac12\epsilon v[/itex]. Then [itex]\|y_0 - x_0\| = \frac12 \epsilon < \epsilon[/itex], and
[tex]
\|y_t - x_t\| = \left\|\frac12 \epsilon A^t v \right\| = \frac12 \epsilon |\lambda^t|
[/tex]
which tends to infinity as [itex]t \to \infty[/itex] for any strictly positive [itex]\epsilon[/itex].

Alternatively you could define stability to mean that the solution starting at [itex]x_0[/itex] is stable if and only if, for all finite [itex]t[/itex] and all [itex]\epsilon > 0[/itex], there exists [itex]\delta > 0[/itex] such that for any solution [itex]y_t[/itex] starting at [itex]y_0[/itex], if [itex]\|x_0 - y_0\| < \delta[/itex] then [itex]\|x_t - y_t\| < \epsilon[/itex]. That's equivalent to requiring that [itex]x_t - y_t[/itex] is a continuous function of [itex]x_0 - y_0[/itex], which in this case it is.
 
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FAQ: How Do We Define Stability in a Dynamically Growing System?

What is a dynamical system and why is it important?

A dynamical system is a mathematical model that describes how a system changes over time. It is important because it allows scientists to study and understand complex systems such as weather patterns, population dynamics, and chemical reactions.

What is stability in a dynamical system?

Stability in a dynamical system refers to the tendency for the system to return to its original state after being perturbed. A stable system will not undergo significant changes due to small disturbances, while an unstable system will exhibit large and unpredictable changes.

What factors influence the stability of a dynamical system?

The stability of a dynamical system is influenced by various factors such as the system's initial conditions, parameters, and external forces. Additionally, the type of system (linear or nonlinear) and the presence of feedback loops can also affect its stability.

How is stability of a dynamical system analyzed and measured?

The stability of a dynamical system is typically analyzed by studying the system's behavior over time, either through numerical simulations or mathematical analysis. Common measures of stability include stability criteria, Lyapunov exponents, and bifurcation diagrams.

What are the applications of studying the stability of dynamical systems?

The study of stability in dynamical systems has numerous applications in various fields, including physics, biology, ecology, economics, and engineering. It helps scientists and engineers predict and control the behavior of complex systems, leading to advancements in technology and improved understanding of natural phenomena.

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