Taking the trace of the positive form $\Gamma _ u$ gives a lower bound for a fixed linear elliptic operator applied to the potential, and its Green kernel then gives an $L^1$ bound. Near a minimum, supporting affine functions select a contact set on which the gradient is small and the real Hessian is bounded below; the determinant equation forces this set to have uniformly positive volume. Combining the two estimates bounds the minimum. This is an Alexandrov–Bakelman–Pucci type argument.
Proof.
We first bound the scalar. At a maximum of $u$, the first derivatives of $u$ vanish and $\mathrm{dd}^{\mathrm{c}}u\leq 0$, so $\Gamma _ u\leq \gamma _0^{n-1}$; at a minimum the reverse inequality holds. The determinant is monotone with respect to the order of positive matrices, and $(\eta _ u^ n/\gamma ^ n)^{n-1}$ is the determinant of the coefficient matrix of $\Gamma _ u$ relative to $\gamma $ (see (14.13.1) below). Evaluating the equation at these two points gives
\[ \inf _ X\left(\log \frac{\gamma _0^ n}{\gamma ^ n}-F\right) \leq b\leq \sup _ X\left(\log \frac{\gamma _0^ n}{\gamma ^ n}-F\right). \]
This proves the scalar bound.
Consider the fixed real linear elliptic operator
\[ Lu=\frac{\gamma \wedge \mathcal D_\gamma u}{\gamma ^ n}. \]
Its principal part is $\mathrm{dd}^{\mathrm{c}}u\wedge \gamma ^{n-1}/\gamma ^ n$, its remaining term is of first order, and it has no zeroth-order term. Since $\Gamma _ u$ is positive, $\gamma \wedge \Gamma _ u\geq 0$, and therefore $Lu\geq -C_0$ for a fixed constant $C_0$.
By the Fredholm and maximum-principle argument in the proof of theorem 11.4.2, the operator $L$ has an adjoint probability measure $\nu $ with smooth strictly positive density, that is, $\int _ XLv\, \mathrm{d}\nu =0$ for every smooth $v$. Since $Lv\leq 0$ at a maximum of $v$, its normalized Green kernel can be written
\[ \begin{gathered} v(x)-\int _ Xv\, \mathrm{d}\nu =-\int _ X K(x,y)Lv(y)\, \mathrm{d}\nu (y),\\ K\geq 0,\qquad \sup _ x\int _ XK(x,y)\, \mathrm{d}\nu (y)<+\infty . \end{gathered} \]
Here the kernel is smooth off the diagonal and locally integrable. To obtain this representation, construct the inverse of $L$ on functions of zero $\nu $-mean by the Fredholm alternative. With the minus sign above, the local fundamental solution has a positive leading singularity, so compactness gives a lower bound for the kernel. Adding a constant to $K$ makes it nonnegative and does not change the formula, since $\int _ XLv\, \mathrm{d}\nu =0$. The local estimates for the Green kernel give the uniform integral bound.
Apply the formula to $u$ and use $Lu\geq -C_0$. At a maximum point, where $u=0$, we obtain
\[ -\int _ Xu\, \mathrm{d}\nu \leq C_1. \]
Because $u\leq 0$ and $\nu $ has a fixed smooth positive density, this is a uniform $L^1$ bound for $u$ with respect to any fixed smooth volume form.
Now let $M=\min _ Xu$, and choose holomorphic coordinates on a ball centered at a minimum point. By compactness, the coordinate radius can be fixed, with uniform bounds for the metric coefficients and their derivatives; rescale the ball to the unit ball $B\subset \mathbb R^{2n}$. Write $x$ for the real coordinates, $D$ and $D^2$ for the Euclidean gradient and Hessian, $\mathrm{d}x$ for Euclidean volume, and $I$ for an identity matrix of the appropriate size. Fix a small number $\varepsilon >0$, depending only on those bounds, and set
\[ v(x)=u(x)+\varepsilon |x|^2. \]
For every real vector $p$ with $|p|<\varepsilon /2$, the function $v(x)-p\cdot x$ attains its minimum at an interior point, because its boundary values are larger than $M+\varepsilon /2$, whereas its value at the center is $M$. At such a point,
\[ Dv=p,\qquad D^2v\geq 0,\qquad v\leq M+\varepsilon /2. \]
Let $A\subset B$ be the set of all points satisfying $|Dv|\leq \varepsilon /2$, $D^2v\geq 0$, and $v\leq M+\varepsilon /2$. Since $u\geq M$, this set lies in $\{ |x|\leq 1/\sqrt2\} $. It is closed there, hence compact in $B$, and by the preceding paragraph its image under the gradient map $Dv$ contains the ball $B_{\varepsilon /2}$ of radius $\varepsilon /2$. The area formula for the smooth gradient map therefore gives
8F909795AE16
14.11.2
\begin{equation} |B_{\varepsilon /2}| \leq \int _ A\det D^2v\, \mathrm{d}x. \end{equation}
The Hessian is nonnegative on $A$, so no absolute value is needed in the determinant.
We now bound this determinant pointwise on $A$. There,
\[ |Du|\leq \frac52\varepsilon , \qquad D^2u\geq -2\varepsilon I. \]
The complex Hessian of $u$ has the corresponding lower bound. Wedging with the fixed positive form $\gamma ^{n-2}$ and bounding the first-order term of $\Gamma _ u$ by the gradient estimate, we find that $\Gamma _ u\geq \gamma _0^{n-1}-C\varepsilon \gamma ^{n-1}$. Let $Q_ u$ be the coefficient matrix of $\Gamma _ u$ in a fixed local frame of $(n-1,0)$-forms. Since $\gamma _0^{n-1}$ is strictly positive, choosing $\varepsilon $ small gives
\[ Q_ u\geq cI \]
with a uniform $c>0$. The equation and the bounds for $F+b$ already proved bound $\det Q_ u$ from above, because the determinant of this matrix is, up to a fixed positive factor depending on the frame, the $(n-1)$st power of the density of $\eta _ u^ n$. All eigenvalues of $Q_ u$ are therefore bounded above as well: their product is bounded, and each of them is at least $c$.
In particular, $\gamma \wedge \Gamma _ u/\gamma ^ n$ is uniformly bounded on $A$. Subtracting its fixed background term and its bounded first-order term, we obtain an upper bound for
\[ \frac{\mathrm{dd}^{\mathrm{c}}u\wedge \gamma ^{n-1}}{\gamma ^ n}. \]
This is a fixed positive multiple of the $\gamma $-trace of the complex Hessian of $u$, which differs from that of $v$ by a bounded term. The complex Hessian of $v$ is nonnegative on $A$, since the real Hessian is nonnegative there, so comparison of metrics bounds its Euclidean trace from above. The real trace of $D^2v$ is four times this complex trace. It follows that
\[ 0\leq \det D^2v \leq \left(\frac{\operatorname {tr}_{\mathbb R}D^2v}{2n}\right)^{2n} \leq C_2\quad \hbox{on }A. \]
Inequality (14.11.2) now gives $|A|\geq c_2>0$, where $c_2$ is independent of $u$. On $A$ we also have $u\leq v\leq M+\varepsilon /2$. Consequently the uniform $L^1$ bound gives
\[ C_3\geq \int _ A(-u)\, \mathrm{d}x \geq c_2(-M-\varepsilon /2). \]
This bounds $-M$ and completes the proof.
$\square$
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