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8.3 Liouville and gradient estimates1B647CA2D005

1B647CA2D005

The gradient estimate comes from rescaling a sequence at points of large gradient. The background then disappears, leaving a maximal function for a constant Euclidean cone. We first establish the Liouville theorem that rules out such a nonconstant limit.

For this Euclidean argument allow $1\leq m\leq n$. Write $H(v)=(v_{i\bar j})$. A continuous real function $v$ on a Euclidean domain is admissible for $C_{n,m}$ if

\[ \operatorname {tr}(QH(v))\geq 0 \quad \text{in distributions for every }Q\in C_{n,m}^*, \]

where $C_{n,m}^*=\{ Q:\operatorname {tr}(QA)\geq 0\text{ for all }A\in C_{n,m}\} $. For smooth functions this says $H(v)\in C_{n,m}$. Call $v$ maximal if every smooth lower test has Hessian outside the interior of $C_{n,m}$ at the contact point. Admissibility implies subharmonicity and is preserved by nonnegative convolution. The cone polynomial $S_ m$ increases under nonnegative matrix addition in the interior.

Lemma 8.3.1.89F810E43B3E Local uniform limits of admissible maximal functions are admissible and maximal. Suppose $v$ is admissible and maximal on a bounded open set $D$, and $h$ is smooth and admissible there. If both are continuous on $\overline D$ and $h\leq v$ on $\partial D$, then $h\leq v$ on $D$.

Proof. The distributional inequalities pass to local uniform limits. If a lower test $h$ for the limit at $z_0$ has Hessian in the interior, subtract $\delta |z-z_0|^2$, for sufficiently small $\delta >0$, to make the contact strict while retaining interior admissibility near $z_0$. Interior minimum points for the approximants then tend to $z_0$. Adding the minimum value produces lower tests for them with Hessian in the interior, contradicting their maximality.

For comparison choose $R$ with $\overline D\subset \{ |z|\leq R\} $. If $h>v$ somewhere, the function $h_\delta =h+\delta (|z|^2-R^2)$ still exceeds $v$ somewhere for small $\delta >0$ and is at most $v$ on the boundary. The negative minimum of $v-h_\delta $ is attained inside $D$. Since $H(h_\delta )=H(h)+\delta I$ belongs to the interior, adding the minimum value gives a forbidden lower test. This argument requires no regularity of the boundary. $\square$

Theorem 8.3.2.96D01E7C4F0F Every bounded globally Lipschitz admissible function on $\mathbb C^ n$ that is maximal for $C_{n,m}$ is constant.

Proof. For $m=1$, the distributional subharmonicity and the lower-test condition say that the function is a viscosity solution of the Laplace equation. The elementary equivalence with harmonicity and bounded harmonic Liouville give the conclusion. For $m=n$, admissibility is distributional plurisubharmonicity. The continuous representative is plurisubharmonic, and bounded plurisubharmonic Liouville applies. For a fixed $m\geq 2$, we therefore argue by induction on $n\geq m$.

The reduction in dimension is particularly simple for this cone. For a Hermitian $(n-1)$-by-$(n-1)$ matrix $A$ and $m<n$,

\[ S_ j(A\oplus 0)=S_ j(A),\qquad 1\leq j\leq m. \]

Consequently $A\oplus 0$ belongs to $C_{n,m}$, respectively its interior, exactly when $A$ belongs to $C_{n-1,m}$, respectively its interior. For the closed cones, the nonnegative inequalities characterize the closure: the expansion of $S_ j(\lambda +\delta \mathbf1)$ has nonnegative coefficients and a strictly positive $\delta ^ j$ term. If an admissible function is independent of $z_ n$, convolving it and using the block identity shows that the function in the remaining variables is admissible. Extending its lower tests independently of $z_ n$ shows that maximality also passes to dimension $n-1$.

Suppose $v$ is nonconstant. Normalize $\inf v=0$, $\sup v=1$, and let $L$ be its Lipschitz constant. Choose a smooth radial nonnegative probability kernel $\eta $, supported in the closed unit ball and positive in its interior. Put

\[ [f]_ r(x)=\int f(x+y)\eta _ r(y)\, \mathrm dy, \qquad \eta _ r(y)=r^{-2n}\eta (y/r),\qquad v_\epsilon =[v]_\epsilon . \]

Both $v$ and $v^2$ are subharmonic: for the second assertion use $\Delta (v_\epsilon ^2)=2v_\epsilon \Delta v_\epsilon +2|\nabla v_\epsilon |^2\geq 0$ and pass to the uniform limit. Their radial averages increase with $r$, by monotonicity of spherical means. For either $f=v$ or $f=v^2$,

\[ |[f]_ r(x)-[f]_ r(y)| \leq \| f\| _\infty \| \eta _ r(\cdot -x)-\eta _ r(\cdot -y)\| _{L^1} \leq C\frac{|x-y|}{r}. \]

Thus the limiting average is independent of its center. The submean inequality makes it at least $f(x)$ for every $x$, and the upper bound is $\sup f=1$. Hence

\[ [v]_ r(x)\longrightarrow 1,\qquad [v^2]_ r(x)\longrightarrow 1. \]

First suppose there are a fixed $\rho >0$, numbers $\epsilon _ k\downarrow 0$, $r_ k\to \infty $, points $x_ k$, and unit complex directions $\xi _ k$, such that

\[ [v^2]_{r_ k}(x_ k)+[v]_\rho (x_ k)-2v(x_ k)\geq \frac43, \qquad \int _{B(x_ k,r_ k)}|\partial _{\xi _ k}v_{\epsilon _ k}|^2\, \mathrm dy\longrightarrow 0. \]

Translate and rotate to make $x_ k$ the origin and $\xi _ k$ the last complex direction. Compactness of uniformly bounded Lipschitz functions and the preceding lemma give a locally uniform limit $a$ that is admissible and maximal. The transformed mollifications have the same limit. Their last derivatives tend to zero in $L^2$ on every fixed ball, so $\partial _{z_ n}a=0$ in distributions. Since $a$ is real and continuous, it is independent of $z_ n$. The induction hypothesis gives $a=c\in [0,1]$. In the displayed gap inequality the first average is at most one, while the fixed-radius average and the value at the origin tend to $c$. This would give $4/3\leq 1-c\leq 1$, a contradiction.

If this case does not occur, then for every fixed $\rho >0$ there is $C_\rho \geq 1$ such that

\[ \int _{B(x,r)}|\partial _\xi v_\epsilon |^2\, \mathrm dy\geq C_\rho ^{-1} \]

for every unit complex direction $\xi $, whenever $0<\epsilon <C_\rho ^{-1}$, $r>C_\rho $ and $[v^2]_ r(x)+[v]_\rho (x)-2v(x)\geq 4/3$. Indeed, failure for every integer choice $C_\rho =k$ produces the sequences excluded above. The dependence on the fixed radius $\rho $ is retained. Translate so that $v(0)<1/12$. Choose $\rho $ with $[v]_\rho (0)>3/4$, then $r>C_\rho $ with $[v^2]_ r(0)>3/4$. The open set

\[ D=\{ x:2v(x)<[v^2]_ r(x)+[v]_\rho (x)-4/3\} \]

contains the origin.

On this set, $[v^2]_ r-c|z|^2$ is smooth and admissible for some fixed $c>0$. To prove this, decompose

\[ H([v_\epsilon ^2]_ r) = [2v_\epsilon H(v_\epsilon )]_ r +[2(\partial _ i v_\epsilon \overline{\partial _ jv_\epsilon })_{ij}]_ r =A_\epsilon +B_\epsilon . \]

The matrix $A_\epsilon $ belongs to $C_{n,m}$ by convexity and $v_\epsilon \geq 0$. For every complex direction the unweighted energy on $B(x,r)$ is at least $C_\rho ^{-1}$. Since $|\nabla v_\epsilon |\leq L$, a sufficiently thin boundary annulus carries at most half that amount, uniformly in $x,\epsilon ,\xi $. On the remaining smaller closed ball $\eta _ r$ has a positive minimum. Therefore $B_\epsilon \geq c_0I$ on $D$, with $c_0>0$ independent of small $\epsilon $. Choose $0<c\leq c_0$. Then $A_\epsilon +B_\epsilon -cI\in C_{n,m}$. Uniform convergence of $v_\epsilon ^2$ and convolution at the fixed radius give convergence of every derivative to those of $[v^2]_ r$, proving the assertion.

The smooth function

\[ h=\tfrac 12\bigl ([v^2]_ r-c|z|^2+[v]_\rho -4/3\bigr ) \]

is admissible on $D$. The set $D'=\{ v<h\} $ contains the origin, is bounded, and lies in $D$. Continuity gives $v=h$ on its boundary. The comparison lemma gives $h\leq v$ on $D'$, a contradiction. This completes the induction. $\square$

A trace bound now suffices to bound the gradient. The following statement permits a smooth background different from the metric.

Proposition 8.3.3.B863BB49A505 Fix a compact complex manifold $X$ of dimension $n$, a smooth Hermitian form $\omega $, a smooth real $(1,1)$-form $\theta $, an integer $2\leq m\leq n$, and constants $M,A,B>0$. There is a uniform bound for $\sup _ X|\partial u|_\omega $ over all smooth real $u$ such that $\theta _ u=\theta +\mathrm{dd}^{\mathrm{c}}u\in \Gamma _ m(\omega )$ and

\[ |u|\leq M,\qquad \frac{\theta _ u^ m\wedge \omega ^{n-m}}{\omega ^ n}\leq B, \qquad \operatorname {tr}_\omega \theta _ u \leq A\bigl (1+\sup _ X|\partial u|_\omega ^2\bigr ). \]

The bound requires no derivatives of the Hessian density.

Proof. In local holomorphic coordinates write $\omega =\mathrm i g_{i\bar j}\, \mathrm dz_ i\wedge \mathrm d\bar z_ j$ and $\theta _ u=\mathrm i(b_{i\bar j}+\kappa u_{i\bar j})\, \mathrm dz_ i\wedge \mathrm d\bar z_ j$, where the fixed constant $\kappa >0$ accounts for the convention for $\mathrm{dd}^{\mathrm{c}}$. For eigenvalues $\lambda \in \Gamma _ m$, $m\geq 2$, one has

\[ \sum _ i\lambda _ i^2 =\left(\sum _ i\lambda _ i\right)^2-2S_2(\lambda ) <\left(\sum _ i\lambda _ i\right)^2. \]

Thus the assumed trace estimate bounds every eigenvalue in absolute value by $A(1+\sup |\partial u|^2)$.

Suppose contrary to the claim that a sequence $u_ j$ has maxima $R_ j=\sup |\partial u_ j|_\omega \to \infty $, attained at $x_ j$. Pass to $x_ j\to x_\infty $ and work in a fixed chart, changing coordinates linearly so that $g(x_\infty )=I$. If $y_ j$ is the coordinate of $x_ j$, set

\begin{align*} v_ j(z)& =u_ j(y_ j+z/R_ j),\qquad g_ j(z)=g(y_ j+z/R_ j),\\ E_ j(z)& =R_ j^{-2}b(y_ j+z/R_ j)+\kappa H(v_ j)(z). \end{align*}

These are defined on balls with radii tending to infinity. On each fixed ball $g_ j\to I$, the smooth background term tends to zero, and $E_ j$ is uniformly bounded by the eigenvalue estimate. In particular $H(v_ j)$ and its Euclidean trace are uniformly bounded. Interior estimates for the fixed Euclidean Laplacian give local uniform $W^{2,q}$ bounds for every finite $q$. A diagonal subsequence converges in $C^1$ on compact subsets to a bounded globally Lipschitz $v$, with $|\partial v(0)|=1$.

The Hermitian matrices $g_ j^{-1/2}E_ jg_ j^{-1/2}$ belong to the interior of $C_{n,m}$ and differ from $\kappa H(v_ j)$ by a term tending uniformly to zero on fixed balls. Pairing with any fixed matrix in the dual cone and passing in distributions proves that $v$ is admissible. Its equation is

\[ \frac{S_ m(g_ j^{-1/2}E_ jg_ j^{-1/2})}{\binom nm} =R_ j^{-2m}\frac{\theta _{u_ j}^ m\wedge \omega ^{n-m}}{\omega ^ n} (y_ j+z/R_ j)\leq BR_ j^{-2m}. \]

We show maximality by lower tests, rather than by an unproved convergence assertion for variable-background Hessian measures. If a smooth lower test $\psi $ at $z_0$ had $H(\psi )(z_0)$ in the interior, choose a small $\delta >0$ so that $H(\psi )-\delta I$ remains there near $z_0$. Strictifying the contact by subtracting $\delta |z-z_0|^2$ gives interior minimum points $z_ j\to z_0$ for $v_ j$ minus this test. At those points

\[ E_ j\geq R_ j^{-2}b+\kappa (H(\psi )-\delta I). \]

The matrix on the right, measured with $g_ j$, is uniformly inside the cone. Monotonicity of $S_ m$ under nonnegative addition gives a fixed positive lower bound for the left side of the preceding equation. This contradicts $BR_ j^{-2m}\to 0$. Hence $v$ is maximal. The Liouville theorem makes it constant, contradicting $|\partial v(0)|=1$. $\square$

On a fixed rescaled ball the metric varies by order $R_ j^{-1}$, whereas the background form enters with factor $R_ j^{-2}$. Thus this argument uses fixed smooth backgrounds and an upper bound for the Hessian density, without derivatives of that density.

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