[step:Bound the Poisson maximal function of $f$ by $L^{1/q}$ data]
Pick $q \in (\tfrac{n-1}{n}, 1)$ — explicitly, $q := \tfrac{n-1}{n} + \tfrac{1}{2n} \in (q_0, 1)$ — so $1/q > 1$. The Poisson maximal function of $f$ satisfies
\begin{align*}
u^*(x) := \sup_{t > 0}|(P_t * f)(x)| = \sup_{t > 0}|u(x, t)| \le \sup_{t > 0}|F(x, t)|.
\end{align*}
Since $|F(x, t)| = (|F(x, t)|^q)^{1/q}$ and $a \mapsto a^{1/q}$ is monotone increasing on $[0, \infty)$,
\begin{align*}
\sup_{t > 0}|F(x, t)| = \Big(\sup_{t > 0}|F(x, t)|^q\Big)^{1/q}.
\end{align*}
\medskip
\noindent \textbf{Pointwise majorisation by the Hardy–Littlewood maximal function.} By Step 4,
\begin{align*}
|F(x, t)|^q \le (P_t * |F(\cdot, 0)|^q)(x).
\end{align*}
The Poisson kernel is dominated pointwise by a constant multiple of the Hardy–Littlewood centred maximal function: for any non-negative $g \in L^1_{\mathrm{loc}}(\mathbb{R}^n)$,
\begin{align*}
(P_t * g)(x) \le C(n)\,M g(x) \quad \text{for every } t > 0, \text{ for every } x \in \mathbb{R}^n,
\end{align*}
where $C(n)$ is a dimensional constant arising from the $L^1$-norm of the layer-cake decomposition of $P_t$ (this is the standard [pointwise domination of Poisson by Hardy–Littlewood maximal](/theorems/???)). Applying this with $g = |F(\cdot, 0)|^q$ and taking the supremum over $t > 0$:
\begin{align*}
\sup_{t > 0}|F(x, t)|^q \le C(n)\,M(|F(\cdot, 0)|^q)(x).
\end{align*}
\medskip
\noindent \textbf{$L^{1/q}$ boundedness of the Hardy–Littlewood maximal function.} Since $1/q > 1$, by the [Hardy–Littlewood maximal theorem](/theorems/???) the maximal operator $M$ is bounded on $L^{1/q}(\mathbb{R}^n)$ with operator norm $A_q = A(n, q)$:
\begin{align*}
\|M g\|_{L^{1/q}} \le A_q\,\|g\|_{L^{1/q}} \quad \text{for } g \in L^{1/q}(\mathbb{R}^n).
\end{align*}
\medskip
\noindent \textbf{The boundary data is in $L^{1/q}$.} The trace exists in $L^1$ (Step 4(B2)) with
\begin{align*}
\||F(\cdot, 0)|\|_{L^1} \le \|f\|_{L^1} + \sum_{j=1}^n \|R_j f\|_{L^1} =: D_f.
\end{align*}
For non-negative $G$, the identity $\|G\|_{L^{1/q}}^{1/q} = \big(\int G^{1/q}\,d\mathcal{L}^n\big)^q = \|G^{1/q}\|_{L^1}^q$ relates the two norms. Apply with $G = |F(\cdot, 0)|^q$ (so $G^{1/q} = |F(\cdot, 0)|$):
\begin{align*}
\big\||F(\cdot, 0)|^q\big\|_{L^{1/q}} = \big(\||F(\cdot, 0)|\|_{L^1}\big)^q = D_f^q.
\end{align*}
Hence $|F(\cdot, 0)|^q \in L^{1/q}(\mathbb{R}^n)$.
\medskip
\noindent \textbf{Closing the chain.} Combining the three steps above:
\begin{align*}
\big\|\sup_{t > 0}|F(\cdot, t)|^q\big\|_{L^{1/q}} \le C(n)\,\big\|M(|F(\cdot, 0)|^q)\big\|_{L^{1/q}} \le C(n)\,A_q\,\big\||F(\cdot, 0)|^q\big\|_{L^{1/q}} = C(n)\,A_q\,D_f^q.
\end{align*}
Apply the same identity $\|G\|_{L^{1/q}}^{1/q} = \|G^{1/q}\|_{L^1}^q$ in the *reverse direction*, this time with $G := \sup_{t > 0}|F(\cdot, t)|^q$ (so $G^{1/q} = \sup_{t > 0}|F(\cdot, t)|$ since $a \mapsto a^{1/q}$ is monotone), giving
\begin{align*}
\big\|\sup_{t > 0}|F(\cdot, t)|\big\|_{L^1}^q = \big\|\sup_{t > 0}|F(\cdot, t)|^q\big\|_{L^{1/q}} \le C(n)\,A_q\,D_f^q.
\end{align*}
Taking the $1/q$-th power:
\begin{align*}
\big\|\sup_{t > 0}|F(\cdot, t)|\big\|_{L^1} \le \big(C(n)\,A_q\big)^{1/q}\,D_f.
\end{align*}
Therefore
\begin{align*}
\|u^*\|_{L^1} \le \big\|\sup_{t > 0}|F(\cdot, t)|\big\|_{L^1} \le C(n, q)\,\Big(\|f\|_{L^1} + \sum_{j=1}^n \|R_j f\|_{L^1}\Big),
\end{align*}
where $C(n, q) := \big(C(n)\,A_q\big)^{1/q}$.
[/step]