I remember seeing in the book by Kreiss "Time-dependent partial differential equations and their numerical solution" that if some elliptic differential operator satisfies $$(Lu,u)\leq K(u.u)$$ for the equation $u_t=Lu+f$ with some boundary condition then it can be shown that, the equation is stable, that is continuously depends on the initial data. However, when I think of $L:=u''$ and $u=-\sin(nx)$ on $(0,\pi)$ as a solution of $u_t=u''+n^2\sin(nx)$, I have boundary conditions as zero at both ends independently of $n$. Then we can calculate \begin{equation} (Lu,u)=(u^{\prime\prime},u) = \int u^{\prime\prime} udx = n^2 \int \sin^2(nx)dx \end{equation} and \begin{equation} (u,u)= \int u^2dx = \int \sin^2(nx)dx \end{equation} Clearly, the inequality $(Lu,u)\leq K(u,u)$ doesn't hold as $n$ increases, even though second derivative is a proper elliptic operator. What am I missing here? I did not put the proof here but it is just a few lines, however the example above contradicts to the statement.
When does the estimate $(Lu,u)\leq K(u.u)$ hold then?