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 \(B(t)\) be a smooth real \(n\times n\) matrix function and \(\beta >0\) such that \(\lvert B(t)\rvert \le e^{-\beta t}\) for all \(t\ge 0\). Consider the initial value problem for \(x_0\in \mathbb {R}^n\), \begin{equation} \begin {aligned} \frac {dx}{dt} &= [A+B(t)]x,\\ x(0) &= x_0. \end {aligned} \tag {2} \end{equation}
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Show that the solution to (2) exists for all time and \(\lim _{t\to \infty }x(t)=0\).
[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 Asymptotically Stable. Show that \(z\) is asymptotically stable for this equation.