Consider the following linear equation for \(x\in \mathbb {R}^n\): \[ \dot {x}=Ax+B(t)x,\quad x(t_0)=x_0. \] where \(A\), \(B(t)\) are \(n\times n\) matrices. Suppose that all eigenvalues \(\lambda _j\), \(j=1,\ldots ,n\), of the matrix \(A\) satisfy \(\operatorname {Re}(\lambda _j)<0\), and let \(B(t)\) be continuous for \(0\le t<\infty \) with \[ \int _0^\infty \|B(t)\|\,dt<\infty . \]
- Using the variation of constants formula show that there exist constants \(K,\sigma >0\) such that \[ |x(t)| \le K e^{-\sigma (t-t_0)}|x_0| +K\int _{t_0}^t e^{-\sigma (t-s)}|x(s)|\|B(s)\|\,ds. \]
- Let \(u(t)=e^{\sigma t}|x(t)|\), \(v(t)=\|B(t)\|\) and \(c=Ke^{\sigma t_0}|x_0|\). Show that the inequality of part (a) can be rewritten as \[ u(t)\le c+\int _{t_0}^t v(s)u(s)\,ds. \]
- From Gronwall’s inequality we have \[ u(t)\le c\exp \left (\int _{t_0}^t v(s)\,ds\right ). \] Use this to show that the zero solution of the initial value problem is asymptotically stable.