Lyapunov Function: Show 0 is Stable

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Assume that f(0) = 0 and Df(0) has eigenvalues with negative real parts. Con-
struct a Lyapunov function to show that 0 is asymptotically stable.
 
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rjcarril said:
Assume that f(0) = 0 and Df(0) has eigenvalues with negative real parts. Con-
struct a Lyapunov function to show that 0 is asymptotically stable.

I know it is a strict lyapunov function, but i cannot figure out how to solve it for the general case.
 
Consider V(x) = \|x\|^2 = x \cdot x. Then \nabla V = 2x and
<br /> \dot V = \nabla V \cdot \dot x = \nabla V \cdot f(x) = <br /> 2x \cdot (Df(0) \cdot x) + O(\|x\|^3).<br />
What does the condition on the eigenvalues of Df(0) imply about the sign of x \cdot (Df(0) \cdot x)? What does that imply about \dot V for \|x\| sufficiently small?

Can you prove that if \dot V &lt; 0 on a neighbourhood of 0 then 0 is asymptotically stable?
 
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