Distinction between stable and asymptotically stable equilibria

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I read the book A Linear Systems Primer by Antsaklis, Panos J., and Anthony N. Michel (Vol. 1. Boston: Birkhäuser, 2007) and I am confused by the definition of stable. It is defined as:

\begin{equation} \dot{x}=f(x), f(0)=0\tag{4.8} \end{equation} Definition 4.6. The equilibrium $x = 0$ of (4.8) is said to be stable if for every $\epsilon > 0$, there exists a $\delta(\epsilon)>0$, such that \begin{equation} ||φ(t, x_0 )|| < \epsilon ~for ~all~ t ≥ 0 \end{equation} whenever $||x_0||<\delta(\epsilon) $

In this definition, does it mean that $ \lim_{t\to\infty} φ(t, x_0 ) = 0$ because $\epsilon$ could be any arbitrarily small positive number? If this is true, then the definition of stable equals to that of asymptotically stable which should NOT be correct. So what is the wrong part in my thought?

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Generically, for a stable system your $\delta$ can be chosen to be a strictly increasing function, with $\delta(0)=0$. If $\lim_{\epsilon \to 0} \delta(\epsilon)=0$ and $x_0 \neq 0$, then the condition $\| x_0 \|<\delta(\epsilon)$ can only be satisfied for $\epsilon>\epsilon_0$ for some fixed number $\epsilon_0$. Thus for such an $x_0$ your definition only gives you that $\| \varphi(t,x_0) \|<\epsilon_0$ which is now fixed, not arbitrary anymore.

To modify this definition to get asymptotic stability, you would need to change $\delta(\epsilon)$ to be defined by "if $\| x_0 \|<\delta(\epsilon)$ then $\| \varphi(t,x_0) \|<\epsilon$ for all $t \geq t_0(\epsilon)$". Moreover you would need this modified $\delta(\epsilon)$ to not go to zero (so that this condition actually continues to apply to some nonzero values of $x_0$ even as $\epsilon \to 0$).

More intuitively speaking, stability says that a system starting in some $\delta$-ball around the equilibrium will not leave a $\epsilon$-ball around the equilibrium (where perhaps $\epsilon>\delta$). Asymptotic stability says that a system starting is some $\delta$-ball around the equilibrium will converge to the equilibrium.

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Stability means that the solution of the differential equation will not leave the $\epsilon$-ball. But asymptotic stability means that the solution does not leave the $\epsilon$-ball and goes to the origin.

Decreasing $\epsilon$ will force the initial condition to approach the zero in the stable case and not the solution at infinity.

Asymptotic stability implies stability but the converse is not true in general.

Example of stable but not asymptotic stable system: $\dot{x}=0$, The solution stays at its initial condition for any sufficiently small $\epsilon$ but will not go to zero if the initial condition is not zero.

Asymptotic example $\dot{x}=-x$ The solution $x=x_0e^{-t}$ goes to zero for any initial condition $x_0$.