[step:Bound $\|T^* a\|_{L^1}$ uniformly over $H^1$-atoms]
We show that for every $H^1$-atom $a$ supported in a ball $B = B(x_0, r) \subset \mathbb{R}^n$, the image $T^* a$ lies in $L^1(\mathbb{R}^n)$ with
\begin{align*}
\|T^* a\|_{L^1(\mathbb{R}^n)} \le C_2 = C_2(n, \|T\|_{\mathcal{L}(L^2)}, \text{kernel constants of } T),
\end{align*}
independently of $a$.
Split the integral $\int_{\mathbb{R}^n} |T^* a| \, d\mathcal{L}^n$ at the doubled ball $2B = B(x_0, 2r)$:
\begin{align*}
\|T^* a\|_{L^1(\mathbb{R}^n)} = \int_{2B} |T^* a(x)| \, d\mathcal{L}^n(x) + \int_{\mathbb{R}^n \setminus 2B} |T^* a(x)| \, d\mathcal{L}^n(x).
\end{align*}
[claim:The local part is bounded: $\int_{2B} |T^* a| \, d\mathcal{L}^n \le C \|T\|_{\mathcal{L}(L^2)}$]
[proof]
By the [Cauchy–Schwarz inequality](/theorems/???) applied to $T^* a \cdot \mathbb{1}_{2B}$,
\begin{align*}
\int_{2B} |T^* a| \, d\mathcal{L}^n &\le |2B|^{1/2} \|T^* a\|_{L^2(\mathbb{R}^n)} \\
&\le |2B|^{1/2} \|T^*\|_{\mathcal{L}(L^2)} \|a\|_{L^2(\mathbb{R}^n)} \\
&\le |2B|^{1/2} \|T\|_{\mathcal{L}(L^2)} |B|^{-1/2}.
\end{align*}
The first inequality is Cauchy–Schwarz with the $L^2$-pair $(T^* a \cdot \mathbb{1}_{2B}, \mathbb{1}_{2B})$. The second inequality is the $L^2$-boundedness of $T^*$, which has the same operator norm as $T$. The third inequality uses $\|a\|_{L^2}^2 \le |B|^{-1}$ from the atomic normalisation. Since $|2B| = 2^n |B|$, we obtain
\begin{align*}
\int_{2B} |T^* a| \, d\mathcal{L}^n \le 2^{n/2} \|T\|_{\mathcal{L}(L^2)},
\end{align*}
which is the claimed bound.
[/proof]
[/claim]
[claim:The far-field part is bounded: $\int_{\mathbb{R}^n \setminus 2B} |T^* a| \, d\mathcal{L}^n \le C(n, \text{kernel constants})$]
[proof]
For $x \in \mathbb{R}^n \setminus 2B$ we have $|x - x_0| \ge 2r$, while $\operatorname{supp}(a) \subseteq B$ so $|y - x_0| < r$ for all $y$ in the support of $a$. Then $|x - y| \ge |x - x_0| - |y - x_0| > |x - x_0|/2 \ge r$, so the kernel $K^*(x, y)$ is well-defined (off the diagonal).
Use the mean-zero property $\int_{\mathbb{R}^n} a(y) \, d\mathcal{L}^n(y) = 0$ to write, for $x \in \mathbb{R}^n \setminus 2B$,
\begin{align*}
T^* a(x) = \int_B K^*(x, y) a(y) \, d\mathcal{L}^n(y) = \int_B [K^*(x, y) - K^*(x, x_0)] a(y) \, d\mathcal{L}^n(y).
\end{align*}
The substitution of $K^*(x, y) - K^*(x, x_0)$ for $K^*(x, y)$ is justified because $\int_B a(y) \, d\mathcal{L}^n(y) = 0$, so the term $K^*(x, x_0) \int_B a(y) \, d\mathcal{L}^n(y)$ vanishes. Taking absolute values and using $\|a\|_{L^\infty} \le |B|^{-1}$,
\begin{align*}
|T^* a(x)| \le |B|^{-1} \int_B |K^*(x, y) - K^*(x, x_0)| \, d\mathcal{L}^n(y).
\end{align*}
Integrating in $x$ over $\mathbb{R}^n \setminus 2B$ and applying [Tonelli's theorem](/theorems/???) (legal because the integrand is non-negative),
\begin{align*}
\int_{\mathbb{R}^n \setminus 2B} |T^* a(x)| \, d\mathcal{L}^n(x) &\le |B|^{-1} \int_B \left( \int_{\mathbb{R}^n \setminus 2B} |K^*(x, y) - K^*(x, x_0)| \, d\mathcal{L}^n(x) \right) d\mathcal{L}^n(y).
\end{align*}
For each $y \in B$, $|y - x_0| < r$ and $\mathbb{R}^n \setminus 2B \subseteq \{x: |x - x_0| > 2r\} \subseteq \{x: |x - x_0| > 2|y - x_0|\}$. The [Hörmander condition](/theorems/???) on the kernel $K^*$ states that there exists a constant $C_H = C_H(n, T) > 0$ such that for all $y, x_0 \in \mathbb{R}^n$ with $y \ne x_0$,
\begin{align*}
\int_{|x - x_0| > 2|y - x_0|} |K^*(x, y) - K^*(x, x_0)| \, d\mathcal{L}^n(x) \le C_H.
\end{align*}
Thus the inner integral above is bounded by $C_H$ uniformly in $y \in B$, giving
\begin{align*}
\int_{\mathbb{R}^n \setminus 2B} |T^* a(x)| \, d\mathcal{L}^n(x) \le |B|^{-1} \cdot |B| \cdot C_H = C_H,
\end{align*}
which proves the claim.
[/proof]
[/claim]
Adding the two claims:
\begin{align*}
\|T^* a\|_{L^1(\mathbb{R}^n)} \le 2^{n/2} \|T\|_{\mathcal{L}(L^2)} + C_H =: C_2.
\end{align*}
[/step]