[step:Record the working notion of strict plurisubharmonicity and the regularised maximum]Throughout, $\rho \in C_c^\infty(\mathbb{R}^{2n})$ is a fixed [standard mollifier](/page/Standard%20Mollifier): non-negative, radial, $\operatorname{supp}\rho \subseteq \overline{B}(0,1)$, $\int_{\mathbb{R}^{2n}}\rho\,d\mathcal{L}^{2n}=1$, and $\rho_\delta(w):=\delta^{-2n}\rho(w/\delta)$ for $\delta>0$. We record the gluing device.
[claim:The regularised maximum $M_\eta$ exists with the five properties below]
Fix once and for all an even function $\theta \in C_c^\infty(\mathbb{R})$ with $\theta \geq 0$, $\operatorname{supp}\theta \subseteq [-1,1]$, and $\int_{\mathbb{R}}\theta\,d\mathcal{L}^1 = 1$. For an integer $p\geq 1$ and $\eta = (\eta_1,\dots,\eta_p)\in(0,\infty)^p$ define
\begin{align*}
M_\eta : \mathbb{R}^p &\to \mathbb{R}\\
t = (t_1,\dots,t_p) &\mapsto \int_{\mathbb{R}^p} \max\{t_1+\sigma_1,\dots,t_p+\sigma_p\}\,\prod_{k=1}^p \tfrac{1}{\eta_k}\theta\!\left(\tfrac{\sigma_k}{\eta_k}\right) d\mathcal{L}^p(\sigma).
\end{align*}
Then:
**(a)** $M_\eta \in C^\infty(\mathbb{R}^p)$, is convex, and is non-decreasing in each variable.
**(b)** $\max_k t_k \leq M_\eta(t) \leq \max_k (t_k+\eta_k)$.
**(c)** $M_\eta(t_1+a,\dots,t_p+a) = M_\eta(t)+a$ for every $a\in\mathbb{R}$; consequently $\sum_{k=1}^p \partial_{t_k}M_\eta \equiv 1$.
**(d)** (Locality) If $j_0$ satisfies $t_{j_0}+\eta_{j_0} \leq \max_{k\neq j_0}(t_k-\eta_k)$, then $M_\eta(t)$ does not depend on $t_{j_0}$ and equals $M_{\eta'}(t')$, where $t',\eta'$ omit the $j_0$-th entry.
**(e)** If $u_1,\dots,u_p \in C^\infty(W)$ on an open $W\subseteq\mathbb{C}^n$, then $v:=M_\eta(u_1,\dots,u_p)\in C^\infty(W)$, and if $i\partial\bar\partial u_a \geq \beta\,\omega_0$ for every $a$, then $i\partial\bar\partial v \geq \beta\,\omega_0$.
[proof]
**(a)** Substituting $\mu_k = t_k+\sigma_k$ gives $M_\eta(t)=\int_{\mathbb{R}^p}\max_k(\mu_k)\prod_k \tfrac1{\eta_k}\theta(\tfrac{\mu_k-t_k}{\eta_k})\,d\mathcal{L}^p(\mu)$; the integrand has compact $\mu$-support and is $C^\infty$ in $t$ with all $t$-derivatives dominated by integrable functions, so differentiation under the integral sign gives $M_\eta\in C^\infty$. For each fixed $\sigma$, the map $t\mapsto\max_k(t_k+\sigma_k)$ is convex and non-decreasing in each $t_k$; integrating against the non-negative density preserves both properties.
**(b)** On $\operatorname{supp}\prod_k\theta(\sigma_k/\eta_k)$ we have $|\sigma_k|\leq\eta_k$, hence $\max_k(t_k+\sigma_k)\leq\max_k(t_k+\eta_k)$, giving the upper bound after integration. For the lower bound, the product density is a probability measure on $\mathbb{R}^p$ under which each coordinate has mean $\int_{\mathbb{R}}\sigma\,\tfrac1{\eta_k}\theta(\sigma/\eta_k)\,d\mathcal{L}^1(\sigma)=0$ ($\theta$ even); since $t\mapsto\max_k(t_k+\sigma_k)$ is convex, [Jensen's inequality](/theorems/9) yields $M_\eta(t)\geq\max_k(t_k+0)=\max_k t_k$.
**(c)** $\max_k(t_k+a+\sigma_k)=\max_k(t_k+\sigma_k)+a$; integrate. Differentiating $M_\eta(t+a\mathbf{1})=M_\eta(t)+a$ at $a=0$ gives $\sum_k\partial_{t_k}M_\eta=1$.
**(d)** On the support of the density, $|\sigma_k|\leq\eta_k$, so
\begin{align*}
t_{j_0}+\sigma_{j_0}\leq t_{j_0}+\eta_{j_0}\leq \max_{k\neq j_0}(t_k-\eta_k)\leq \max_{k\neq j_0}(t_k+\sigma_k).
\end{align*}
Thus $\max_k(t_k+\sigma_k)=\max_{k\neq j_0}(t_k+\sigma_k)$ is independent of $\sigma_{j_0}$; integrating out $\sigma_{j_0}$ (whose density integrates to $1$) leaves exactly $M_{\eta'}(t')$.
**(e)** Smoothness of $v$ is composition of smooth maps. For the Levi form, write $\partial_a M$, $\partial_a\partial_b M$ for the derivatives of $M_\eta$ evaluated at $(u_1,\dots,u_p)$. The chain rule gives
\begin{align*}
\partial_{z_j}\partial_{\bar z_k} v = \sum_{a}(\partial_a M)\,\partial_{z_j}\partial_{\bar z_k}u_a + \sum_{a,b}(\partial_a\partial_b M)\,\partial_{z_j}u_a\,\partial_{\bar z_k}u_b.
\end{align*}
Contract with $\xi_j\overline{\xi_k}$ and set $\zeta_a := \sum_{j}\partial_{z_j}u_a\,\xi_j \in \mathbb{C}$:
\begin{align*}
\mathcal{L}_v(\xi,\xi) = \sum_a (\partial_a M)\,\mathcal{L}_{u_a}(\xi,\xi) + \sum_{a,b}(\partial_a\partial_b M)\,\zeta_a\overline{\zeta_b}.
\end{align*}
The Hessian $H=(\partial_a\partial_b M)$ is real, symmetric, and positive semidefinite by convexity (a); for any $\zeta\in\mathbb{C}^p$ the imaginary part of $\sum_{a,b}H_{ab}\zeta_a\overline{\zeta_b}$ vanishes (antisymmetry against symmetric $H$) and the real part is $\sum_{a,b}H_{ab}(\operatorname{Re}\zeta_a\operatorname{Re}\zeta_b+\operatorname{Im}\zeta_a\operatorname{Im}\zeta_b)\geq 0$; hence the second sum is $\geq 0$. In the first sum $\partial_a M\geq 0$ by (a) and $\sum_a\partial_a M=1$ by (c), so using $\mathcal{L}_{u_a}(\xi,\xi)\geq\beta|\xi|^2$,
\begin{align*}
\mathcal{L}_v(\xi,\xi)\ \geq\ \sum_a(\partial_a M)\,\beta|\xi|^2 = \beta|\xi|^2 .
\end{align*}
Thus $i\partial\bar\partial v\geq\beta\,\omega_0$.
[/proof]
[/claim][/step]