Is the dynamical system stable at an equilibrium point?

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In summary, dynamical system stability refers to a system's tendency to return to its equilibrium state after being disturbed. It is determined by analyzing the behavior of the system near its equilibrium points, and a system can have multiple equilibrium points that can be stable, unstable, or semi-stable. The stability of an equilibrium point greatly impacts the behavior of a dynamical system, with stable points resulting in predictable and steady behaviors, while unstable points can lead to chaotic and unpredictable behaviors.
  • #1
Chris L T521
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Here's this week's problem.

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Problem: Consider a constant mass $m$ moving under the influence of a conservative force field $-\mathrm{grad}\,\Phi(x)$ defined by a potential function $\Phi:W_0\rightarrow\Bbb{R}$ on an open set $W_0\subset\Bbb{R}^3$. The corresponding dynamical system on the state space $W=W_0\times\Bbb{R}^3 \subset \Bbb{R}^3\times\Bbb{R}^3$ for $(x,v)\in W_0\times\Bbb{R}^3$ is given by

\[\left\{\begin{aligned}\frac{dx}{dt} &= v\\ \frac{dv}{dt} &= -\mathrm{grad}\,\Phi(x) \end{aligned}\right.\]

Let $(\overline{x},\overline{v})\in W_0\times\Bbb{R}^3$ be an equilibrium point of the above dynamical system. Determine when the dynamical system is stable at $(\overline{x},\overline{v})$.

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  • #2
No one answered this week's question. You can find the solution below.

[sp]If $(\overline{x},\overline{v})\in W_0 \times \Bbb{R}^3$ is an equilibrium point, then $\overline{v}=0$ and $\mathrm{grad}\,\Phi(\overline{x})=0$. To investigate stability at $(\overline{x},0)$, let us use the total energy
\[E(x,v) = \frac{1}{2}mv^2+\Phi(x)\]
to construct a Lyapunov function. Since a Lyapunov function must vanish at $(\overline{x},0)$, we subtract from $E(x,v)$ the energy of the state, which is $\Phi(\overline{x})$, and define $V: W_0\times\Bbb{R}^3\rightarrow\Bbb{R}$ by
\[\begin{aligned}V(x,v) &= E(x,v) - E(\overline{x},0)\\ &= \frac{1}{2}mv^2+\Phi(x) - \Phi(\overline{x}).\end{aligned}\]
By conservation of energy, $\dot{V}=0$. Since $\frac{1}{2}mv^2\geq 0$, we assume $\Phi(x)>\Phi(\overline{x})$ for $x$ near $\overline{x}$, $x\neq \overline{x}$, in order to make $V$ a Lyapunov function.

With this, we proved a well-known theorem of Lagrange: an equilibrium $(\overline{x},0)$ of a conservative force field is stable if the potential energy has a local absolute minimum at $\overline{x}$.[/sp]
 

FAQ: Is the dynamical system stable at an equilibrium point?

What is a dynamical system stability?

A dynamical system stability refers to the tendency of a system to return to its equilibrium state after being disturbed. It is an important concept in mathematics and physics, as it helps to predict the behavior of systems over time.

How is stability determined in a dynamical system?

The stability of a dynamical system is determined by analyzing the behavior of the system near its equilibrium points. If the system returns to its equilibrium state after being perturbed, it is considered stable. However, if it diverges or oscillates, it is considered unstable.

What is an equilibrium point in a dynamical system?

An equilibrium point, also known as a fixed point, is a state in a dynamical system where the system stays constant or unchanged. It is a state of balance where the forces within the system are in equilibrium, resulting in no further changes to the system.

Can a dynamical system have multiple equilibrium points?

Yes, a dynamical system can have multiple equilibrium points. These points can be stable, unstable, or semi-stable, depending on the behavior of the system near each point. The number and type of equilibrium points can vary depending on the complexity of the system.

How does the stability of an equilibrium point affect the behavior of a dynamical system?

The stability of an equilibrium point plays a crucial role in determining the behavior of a dynamical system. If the equilibrium point is stable, the system will return to this state after being disturbed, resulting in a predictable and steady behavior. On the other hand, an unstable equilibrium point can lead to chaotic and unpredictable behaviors in the system.

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