Stability Classification: How to Determine if a System is Asymptotically Stable?

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Stable nodes are classified as asymptotically stable due to their eigenvalues having negative real parts. In contrast, saddle points are not asymptotically stable, as they exhibit one positive eigenvalue. Centers are stable but not asymptotically stable, as they do not converge to an equilibrium point over time. Visualizing these concepts can enhance understanding of their stability classifications. Overall, the classification hinges on the behavior of eigenvalues associated with the system.
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Homework Statement



How can i classify

(1) stable node
(2) saddle and
(3) center

as either

(a) stable or asymptotically stable?

Homework Equations



<None>

The Attempt at a Solution



All three are stable. Stable node seems to be asymptotically stable. But I am not sure about Saddle and center? I think saddle is not asymptotically stable.
 
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This can be evaluated by considering real part of eigenvalues < 0.

But can you let me visualize it conceptually?
 
Moreover, will a "center" be referred to as a stable or unstable equilibrium?
 

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