[step:Pass the estimate to energy solutions]Let $u:[0,T]\to H_0^1(U)$ with $\partial_tu:[0,T]\to L^2(U)$ be an energy solution in the Galerkin-limit sense stated in the theorem. Thus the approximating subspaces, Galerkin solutions, forcing approximants, and strong convergence properties used below are part of the theorem's definition of energy solution. Here $H_0^1(U)$ denotes the closure of $C_c^\infty(U)$ in the [Sobolev space](/page/Sobolev%20Space) $H^1(U)$. Define the limiting energy map $E:[0,T]\to[0,\infty)$ by
\begin{align*}
E(\tau):=\frac{1}{2}\int_U \left(|\partial_tu(\tau,x)|^2+|\nabla u(\tau,x)|^2\right)\,d\mathcal L^n(x).
\end{align*}
By this Galerkin-limit definition of energy solution, there exist finite-dimensional Dirichlet subspaces $V_k\subset H_0^1(U)$, Galerkin approximants $u_k\in C^2([0,T];V_k)$, and forcings $f_k\in C^\infty([0,T];L^2(U))$ such that, for every $v\in V_k$ and every $\tau\in[0,T]$,
\begin{align*}
\int_U \partial_t^2u_k(\tau,x)v(x)\,d\mathcal L^n(x)+\int_U \nabla u_k(\tau,x)\cdot\nabla v(x)\,d\mathcal L^n(x)=\int_U f_k(\tau,x)v(x)\,d\mathcal L^n(x),
\end{align*}
and
\begin{align*}
f_k \to f \quad\text{in } L^1((0,T);L^2(U)),
\end{align*}
and
\begin{align*}
u_k \to u \quad\text{in } C([0,T];H_0^1(U)),
\end{align*}
while
\begin{align*}
\partial_t u_k \to \partial_tu \quad\text{in } C([0,T];L^2(U)).
\end{align*}
For each $k\in \mathbb{N}$, define the approximating energy map $E_k:[0,T]\to[0,\infty)$ by
\begin{align*}
E_k(\tau) := \frac{1}{2}\int_U \left(|\partial_t u_k(\tau,x)|^2+|\nabla u_k(\tau,x)|^2\right)\,d\mathcal{L}^n(x).
\end{align*}
Since $u_k(\tau)\in V_k$ for every $\tau\in[0,T]$ and $V_k$ is a [vector space](/page/Vector%20Space), $\partial_tu_k(\tau)\in V_k$. Taking $v=\partial_tu_k(\tau)$ in the Galerkin identity gives the same differential energy identity as in the smooth case:
\begin{align*}
E_k'(\tau)=\int_U f_k(\tau,x)\,\partial_tu_k(\tau,x)\,d\mathcal L^n(x).
\end{align*}
The Hilbert-space estimate and square-root regularization from the previous steps therefore give, for every $0\le s\le t\le T$,
\begin{align*}
\sqrt{2E_k(t)}
\le
\sqrt{2E_k(s)}
+
\int_s^t \|f_k(r)\|_{L^2(U)}\,d\mathcal{L}^1(r).
\end{align*}
The stated convergence of $u_k$ and $\partial_tu_k$ implies $E_k(\tau)\to E(\tau)$ for each $\tau\in [0,T]$: convergence in $C([0,T];H_0^1(U))$ controls $\|\nabla u_k(\tau)-\nabla u(\tau)\|_{L^2(U)}$, and convergence in $C([0,T];L^2(U))$ controls $\|\partial_tu_k(\tau)-\partial_tu(\tau)\|_{L^2(U)}$. The convergence $f_k\to f$ in $L^1((0,T);L^2(U))$ implies convergence of the forcing integrals because the [reverse triangle inequality](/theorems/2300) in $L^2(U)$ gives, for $\mathcal L^1$-a.e. $r\in(0,T)$,
\begin{align*}
\left|\|f_k(r)\|_{L^2(U)}-\|f(r)\|_{L^2(U)}\right| \le \|f_k(r)-f(r)\|_{L^2(U)}.
\end{align*}
Integrating this estimate over $[s,t]$ yields
\begin{align*}
\left|\int_s^t \|f_k(r)\|_{L^2(U)}\,d\mathcal{L}^1(r)-\int_s^t \|f(r)\|_{L^2(U)}\,d\mathcal{L}^1(r)\right| \le \int_s^t \|f_k(r)-f(r)\|_{L^2(U)}\,d\mathcal{L}^1(r) \le \|f_k-f\|_{L^1((0,T);L^2(U))}.
\end{align*}
The right-hand side tends to $0$, so the forcing integrals converge. Passing to the limit in the estimate for $E_k$ gives
\begin{align*}
\sqrt{2E(t)} \le \sqrt{2E(s)} + \int_s^t \|f(r)\|_{L^2(U)}\,d\mathcal{L}^1(r).
\end{align*}
This is the desired forced energy inequality for the energy solution $u$.[/step]