Let
- $H$ be a separable $\mathbb R$-Hilbert space
- $S:[0,\infty)\to H$ be an uniformly continuous$^1$ semigroup
- $-A$ be the infinitesimal generator of $S$
- $f:H\to H$ be Lipschitz continuous with sublinear growth
- $t>0$
- $u\in C^0([0,T],H)$
I've read (in An Introduction to Computational Stochastic PDEs on page 111) that $$\frac{{\rm d}}{{\rm d}t}\int_0^tS(t-s)f(u(s))\:{\rm d}s=-\int_0^tAS(t-s)f(u(s))\:{\rm d}s+f(u(t))\;.\tag 1$$
How can we prove $(1)$?
I've tried to write $$\frac{{\rm d}}{{\rm d}t}\int_0^tS(t-s)f(u(s))\:{\rm d}s=\lim_{h\to0+}\left(\int_0^t\frac{S(h)-\operatorname{id}_H}hS(t-s)f(u(s))\:{\rm d}s+S(h)\frac1h\int_t^{t+h}S(t-s)f(u(s))\:{\rm d}s\right)\tag 2$$ and it's clear that the first term on the right-hand side of $(2)$ converges to $-\int_0^tAS(t-s)f(u(s))\:{\rm d}s$. However, the second term is not even well-defined, cause $S$ is evaluated at negative points. So, what's the correct approach?
$^1$ i.e. $S\in C^0([0,\infty),\mathfrak L(H))$.