Let $H_ Q(r)=\max _{q\in Q}q\cdot r$ be the support function of $Q$, and define
\begin{align*} \mathcal C_ Q& =\{ v\in \mathrm{PSH}(X,\theta ): v+\varphi _0\leq H_ Q+C_ v\text{ on }T\text{ for some constant }C_ v\} ,\\ E_ Q& =\left(\sup \{ v\in \mathcal C_ Q: v\leq w\text{ quasi-everywhere on }X\} \right)^*. \end{align*}
Lemma 18.45.3.F0A638931204 The gradient $\nabla F:\mathbb R^ n\to \operatorname {int}P$ is a smooth diffeomorphism. With $r(q)=(\nabla F)^{-1}(q)$ and $F^*(q)=q\cdot r(q)-F(r(q))$, set
\[ G_ Q(r)=\max _{q\in Q}\{ q\cdot r-F^*(q)\} . \]
Then $E_ Q=G_ Q-\varphi _0$ on $T$, and $E_ Q=-\infty $ on $X\setminus T$. Moreover, a global section $s$ of $L^ m$ belongs to $V_ m$ exactly when
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\begin{equation} |s/e^ m|^2\leq C_ s\mathrm e^{mH_ Q(r)}\quad \text{on }T \quad \text{for some finite }C_ s. \end{equation}
Proof.
In the charts at infinity one sees that every global section of $L^ m$ is a polynomial of degree at most $mk_ j$ in each variable $z_ j$. If $s\in V_ m$, the growth bound follows from the triangle inequality, since $|z^\alpha |^2=\mathrm e^{\alpha \cdot r}\leq \mathrm e^{mH_ Q(r)}$ for $\alpha \in mQ$. Conversely, averaging the growth bound over the angles gives $\sum _\alpha |c_\alpha |^2\mathrm e^{\alpha \cdot r} \leq C_ s\mathrm e^{mH_ Q(r)}$ for the coefficients $c_\alpha $ of $s$. If some $c_\alpha \neq 0$ had $\alpha \notin mQ$, a vector $u$ with $\alpha \cdot u>mH_ Q(u)$, which exists by separation, would contradict this bound along the ray $r=tu$, $t\to \infty $. Thus the growth condition controls each monomial separately, even though the monomials of $s$ may cancel pointwise.
For $p\in \operatorname {int}P$, put $\delta _ p=\min _ j(p_ j,k_ j-p_ j)>0$. Since $w$ is bounded,
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\begin{equation} F(r)-p\cdot r\geq \delta _ p\sum _ j|r_ j|-\| w\| _\infty . \end{equation}
By strict convexity, $F-p\cdot r$ therefore has a unique minimizer, at which $\nabla F=p$. Conversely, every gradient of $F$ lies in $P$: compare the supporting hyperplanes of the convex function $F$ with the asymptotic slopes of $\varphi _0$. By the inverse function theorem the image of $\nabla F$ is open, so it is contained in the interior of $P$. This proves that $\nabla F$ is a diffeomorphism onto $\operatorname {int}P$. On a compact neighborhood of $Q$ in $\operatorname {int}P$, the inverse gradient and the first and second derivatives of $F^*$ are bounded, and the Hessian of $F^*$ is positive definite.
We next show that $G_ Q-\varphi _0$ is a competitor. In a product chart in which some of the coordinates are inverted, the local potential of $G_ Q-\varphi _0$ is
\[ \max _{q\in Q}\left\{ \sum _ j c_ j(q)\log |\zeta _ j|^2-F^*(q)\right\} , \qquad c_ j(q)=q_ j\text{ or }k_ j-q_ j. \]
All $c_ j$ are bounded below by a fixed positive number. The expression is locally bounded above, tends uniformly to $-\infty $ at the coordinate hyperplanes when the other coordinates stay bounded, and is locally integrable by comparison with one fixed summand. At points where it is finite, a maximizing summand gives the submean inequality for plurisubharmonic functions; at points where it equals $-\infty $, this inequality is automatic. These local expressions glue. Boundedness of $F^*$ on $Q$ gives $G_ Q-H_ Q=O(1)$, and Fenchel's inequality gives $G_ Q\leq F$, that is, $G_ Q-\varphi _0\leq w$. Thus $G_ Q-\varphi _0$, extended by $-\infty $ on $X\setminus T$, belongs to $\mathcal C_ Q$ and satisfies the obstacle condition.
Now let $v$ be any competitor. The obstacle condition holds everywhere: the exceptional pluripolar set has Lebesgue measure zero, and submean values over shrinking balls carry the inequality with the continuous obstacle to every point. Consider the maximum over the angles, $M(r)=\max _\tau \{ v(\mathrm e^{r/2}\tau )+\varphi _0(r)\} $, where $\mathrm e^{r/2}\tau $ denotes the point with coordinates $\mathrm e^{r_ j/2}\tau _ j$. By compactness, $M$ is upper semicontinuous. Rotating a point at which the maximum is attained gives the submean inequality for the invariant function $z\mapsto M(\log |z_1|^2,\ldots ,\log |z_ n|^2)$, which is therefore plurisubharmonic on $T$. It extends across the affine coordinate hyperplanes by the local upper bound. If $M(r)=-\infty $ for some $r$, successive one-variable maximum principles would force this function to be $-\infty $ on the corresponding polydisk, contradicting $v\not\equiv -\infty $. Thus $M$ is finite. In logarithmic coordinates this invariant function depends only on the real parts, so its positive complex Hessian shows that $M$ is convex.
We have $M\leq F$ and $M\leq H_ Q+C_ v$. Comparing along rays shows that every supporting slope of $M$ lies in $Q$. At any $r$, choose such a slope $p$. Since $M\leq F$ gives $M^*\geq F^*$, convex duality yields $M(r)=p\cdot r-M^*(p)\leq p\cdot r-F^*(p)\leq G_ Q(r)$. Hence $v\leq G_ Q-\varphi _0$ on $T$. Submean values over shrinking balls and the uniform decay of $G_ Q-\varphi _0$ near $X\setminus T$ show that $v=-\infty $ on $X\setminus T$. Since $G_ Q-\varphi _0$, extended by $-\infty $, is already upper semicontinuous, this proves the identity for the envelope after upper regularization.
$\square$
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