Can you determine the stability of a fixed point in a system of ODEs?

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    2015
In summary, a fixed point in a system of ODEs is a stable point where the derivative of each variable is equal to zero. The stability of a fixed point can be determined by analyzing the eigenvalues of the Jacobian matrix at that point. It can change over time if system parameters or initial conditions change. A stable fixed point is significant because it represents a state of equilibrium in the system and can be used to predict long-term behavior. There are numerical methods such as the Lyapunov, Poincaré-Lyapunov, and Floquet methods for determining the stability of a fixed point in a system of ODEs.
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Euge
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Here is this week's POTW:

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Consider the following system of ODE on $\Bbb R^2$.

\begin{align}
\dot{x} &= y\\
\dot{y} &= \lambda y(1 - x^2) - x
\end{align}

Determine a condition(s) on $\lambda$ such that the fixed point $(0,0)$ is asymptotically stable.

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  • #2
No one answered this week's problem correctly. You can read my solution below.
The associated Jacobian of the zero solution of the system is

$$J(\lambda) = \begin{pmatrix}0 & 1\\-1 & \lambda\end{pmatrix}$$

The eigenvalues of $J(\lambda)$ are $t_1 = \frac{\lambda + \sqrt{\lambda^2 - 4}}{2}$ and $t_2 = \frac{\lambda - \sqrt{\lambda^2 - 4}}{2}$. If $\lambda \ge 0$ and $t_1$ is real, then $t_1 \ge \frac{\lambda}{2} \ge 0$, which implies $(0,0)$ is not asymptotically stable; $\lambda \ge 0$ and $t_1$ is non-real, then $\operatorname{Re}(t_1) = \frac{\lambda}{2} \ge 0$ and the conclusion the same. So assume $\lambda < 0$. If $t_1$ is real, then $\lambda = -|\lambda| < -\sqrt{\lambda^2 - 4}$ $\implies$ $\lambda + \sqrt{\lambda^2 - 4} < 0$ $\implies$ $t_1 < 0$. Hence also $t_2 < 0$ and $(0,0)$ is asymptotically stable. If $t_1$ is non-real, then since $\operatorname{Re}(t_1) = \operatorname{Re}(t_2) = \frac{\lambda}{2} < 0$, we deduce again that $(0,0)$ is asymptotically stable. Therefore, the origin is asymptotically stable if and only if $\lambda < 0$.
 

FAQ: Can you determine the stability of a fixed point in a system of ODEs?

What is a fixed point in a system of ODEs?

A fixed point in a system of ODEs is a point where the derivative of each variable is equal to zero. This means that the values of the variables do not change over time, making it a stable point in the system.

How is the stability of a fixed point determined in a system of ODEs?

The stability of a fixed point is determined by analyzing the eigenvalues of the Jacobian matrix at that point. If all eigenvalues have negative real parts, the fixed point is stable. If at least one eigenvalue has a positive real part, the fixed point is unstable.

Can the stability of a fixed point change over time in a system of ODEs?

Yes, the stability of a fixed point can change if the system parameters or initial conditions change. It is important to regularly analyze the stability of a fixed point in dynamic systems.

What is the significance of a stable fixed point in a system of ODEs?

A stable fixed point is important because it represents a state of equilibrium in the system. This means that the system will tend towards this point over time, making it a useful point for predicting the long-term behavior of the system.

Are there any numerical methods for determining the stability of a fixed point in a system of ODEs?

Yes, there are several numerical methods for determining the stability of a fixed point, such as the Lyapunov method, the Poincaré-Lyapunov method, and the Floquet theory. These methods use numerical calculations to analyze the behavior of the system at the fixed point.

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