[step:Show $R(\lambda) = (\lambda I - A)^{-1}$ for $\operatorname{Re}(\lambda) > \omega_0$]
[claim:For every $\lambda \in \mathbb{C}$ with $\operatorname{Re}(\lambda) > \omega_0$, the operator $R(\lambda) \in \mathcal{L}(X)$ satisfies $R(\lambda) X \subset D(A)$, $(\lambda I - A) R(\lambda) = I$, and $R(\lambda)(\lambda I - A) = I$ on $D(A)$.]
[/claim]
[proof]
Fix $\lambda$ with $\operatorname{Re}(\lambda) > \omega_0$ and $x \in X$. We compute the right derivative of $T(h) R(\lambda) x$ at $h = 0$.
For $h > 0$, using the semigroup law and the change of variable $s = t + h$ in the integral:
\begin{align*}
T(h) R(\lambda) x &= T(h) \int_0^\infty e^{-\lambda t} T(t) x\, d\mathcal{L}^1(t) = \int_0^\infty e^{-\lambda t} T(t + h) x\, d\mathcal{L}^1(t) \\
&= \int_h^\infty e^{-\lambda(s - h)} T(s) x\, d\mathcal{L}^1(s) = e^{\lambda h}\, \int_h^\infty e^{-\lambda s} T(s) x\, d\mathcal{L}^1(s).
\end{align*}
Subtracting $R(\lambda) x = \int_0^\infty e^{-\lambda s} T(s) x\, d\mathcal{L}^1(s)$:
\begin{align*}
T(h) R(\lambda) x - R(\lambda) x &= (e^{\lambda h} - 1) \int_h^\infty e^{-\lambda s} T(s) x\, d\mathcal{L}^1(s) - \int_0^h e^{-\lambda s} T(s) x\, d\mathcal{L}^1(s).
\end{align*}
Dividing by $h$ and letting $h \to 0^+$:
For the first term, $(e^{\lambda h} - 1)/h \to \lambda$ in $\mathbb{C}$ and $\int_h^\infty e^{-\lambda s} T(s) x\, d\mathcal{L}^1(s) \to \int_0^\infty e^{-\lambda s} T(s) x\, d\mathcal{L}^1(s) = R(\lambda) x$ (dominated convergence with majorant $M_\omega e^{-(\operatorname{Re}(\lambda) - \omega) s}\|x\|_X$). So the first term tends to $\lambda\, R(\lambda) x$.
For the second term, $\frac{1}{h}\int_0^h e^{-\lambda s} T(s) x\, d\mathcal{L}^1(s) \to e^{0} T(0) x = x$ by the Lebesgue Differentiation Theorem for vector-valued continuous integrands.
Combining:
\begin{align*}
\lim_{h \to 0^+} \frac{T(h) R(\lambda) x - R(\lambda) x}{h} &= \lambda R(\lambda) x - x.
\end{align*}
By definition of the generator, this means $R(\lambda) x \in D(A)$ and
\begin{align*}
A R(\lambda) x &= \lambda R(\lambda) x - x, \quad \text{i.e.}\quad (\lambda I - A) R(\lambda) x = x.
\end{align*}
Hence $(\lambda I - A) R(\lambda) = I$ on $X$.
For the reverse identity, let $x \in D(A)$. Since $A$ is closed (part 2 of the [Closure and Density of the $C_0$-Semigroup Generator](/theorems/3144)) and commutes with bounded Bochner integrals against the orbit (because $A$ commutes with the strongly continuous semigroup on $D(A)$, by part 3 of the same theorem):
\begin{align*}
A R(\lambda) x &= A \int_0^\infty e^{-\lambda t} T(t) x\, d\mathcal{L}^1(t) = \int_0^\infty e^{-\lambda t} T(t) A x\, d\mathcal{L}^1(t) = R(\lambda) Ax.
\end{align*}
Therefore $R(\lambda) (\lambda I - A) x = \lambda R(\lambda) x - R(\lambda) Ax = \lambda R(\lambda) x - A R(\lambda) x = x$, where the last equality uses $(\lambda I - A) R(\lambda) x = x$.
[/proof]
[/step]