Let \(A\) be an \(n\times n\) real matrix whose eigenvalues \(\lambda _i\) satisfy \(\Re \lambda _i<0\) for all \(i=1,\ldots ,n\). Let \(f(t,x)\) be a \(C^2\) function such that \(\lvert f(t,x)\rvert =o(\lvert x\rvert )\) as \(x\to 0\), uniformly in \(t\). Consider the initial value problem for \(x_0\in \mathbb {R}^n\), \begin{equation} \begin {cases} \dfrac {dx}{dt}=Ax+f(t,x),\\ x(0)=x_0. \end {cases} \tag {3} \end{equation}
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Show that if \(\lvert x_0\rvert \) is small enough, there is a bounded solution to (3) that exists for all time.
[Hint: Suppose \(g(t)\) and \(u(t)\) are nonnegative functions and \(c_0\ge 0\) is a constant that satisfy \(u(t)\le c_0+\int _0^t g(s)u(s)\dd s\) for all \(t\ge 0\). Then Gronwall’s Inequality implies \[ u(t)\le c_0\exp \left (\int _0^t g(s)\dd s\right ) \] for all \(t\ge 0\).]
- Let \(z(t)=0\) for all \(t\) be the zero solution. Define what it means for \(z\) to be Lyapunov Stable (some authors call this notion stable .) Show that \(z\) is Lyapunov stable for this equation.