A continuous positive Hermitian form still defines a uniformly elliptic trace operator. Its range is most conveniently described in Sobolev spaces: continuity of the coefficients suffices for the local $W^{2,p}$ estimate, while the maximum principle identifies the kernel.
Lemma 11.24.1.DEA6C8EFE702 Let $\sigma $ be a continuous positive real $(1,1)$-form on a connected compact complex $n$-fold, and let $\mathrm dV$ be a smooth positive volume. For $p>2n$, the real operator
\[ L_\sigma v=\operatorname {tr}_\sigma \mathrm{dd}^{\mathrm{c}}v, \qquad L_\sigma :W^{2,p}(X)\longrightarrow L^ p(\mathrm dV), \]
is Fredholm of index zero. Its kernel consists of the constants, and its range has a one-dimensional annihilator in $L^{p'}(\mathrm dV)$, where $p'=p/(p-1)$.
Proof.
Fix a smooth positive Hermitian form $\eta $ and put $L_ s=(1-s)L_\eta +sL_\sigma $, $0\leq s\leq 1$. On a finite holomorphic cover these operators have uniformly positive real principal matrices and a common modulus of continuity. They have no lower-order terms in these coordinates. Write $d=2n$ for the real dimension.
Local estimates. For a constant positive real matrix $a_0$, the symbols $\xi _ i\xi _ j/(1+a_0^{kl}\xi _ k\xi _ l)$ satisfy the order-zero multiplier estimates. Consequently
\[ \| D^2z\| _ p\leq C\bigl (\| a_0^{ij}D_{ij}z\| _ p+\| z\| _ p\bigr ) \qquad (z\in C_ c^\infty ). \]
Freeze the principal matrix of $L_ s$ at a point and shrink the ball until the coefficient oscillation times this constant is less than $1/2$. The oscillation term can then be absorbed on the left. Differentiating a cutoff adds first derivatives; the interpolation inequality $\| Dz\| _ p\leq \varepsilon \| D^2z\| _ p+C_\varepsilon \| z\| _ p$ absorbs them. This inequality follows by comparing $Dz$ with its mollification at scale $\varepsilon $ and estimating the derivative of the mollified function by $C\varepsilon ^{-1}\| z\| _ p$. A partition of unity and smooth density give, uniformly in $s$,
616C6C2B269A
11.24.2
\begin{equation} \| v\| _{W^{2,p}}\leq C\bigl (\| L_ sv\| _ p+\| v\| _ p\bigr ). \end{equation}
Maximum principles. We give the local estimate needed to pass comparison to $W^{2,p}$. Let $L=a^{ij}D_{ij}$ on a bounded smooth coordinate domain $D$, with $a\geq \vartheta I$, and let $z$ be smooth with nonnegative boundary values and minimum $-M<0$. Set $R=\operatorname {diam}D$. Every vector $\xi $ with $|\xi |<M/(2R)$ is the gradient at an interior lower supporting point of $z$: minimize $z(x)-\xi \cdot (x-x_0)$, where $z(x_0)=-M$. Its boundary values exceed $-M/2$, whereas its value at $x_0$ is $-M$. At a supporting point $D^2z\geq 0$, and the arithmetic–geometric mean inequality gives
\[ \det D^2z\leq \left(\frac{\operatorname {tr}(aD^2z)}{d\vartheta }\right)^ d. \]
The area formula for the gradient, restricted to these supporting points, therefore bounds the volume of the slope ball by $(d\vartheta )^{-d}\int _ D((Lz)^+)^ d$. Thus
88F9E749216F
11.24.3
\begin{equation} -\min _ Dz\leq C_ d\vartheta ^{-1}R\| (Lz)^+\| _{L^ d(D)}. \end{equation}
This calculation uses no derivative of $a$. Approximate a $W^{2,p}$ function smoothly on the closure of a smaller smooth domain. The approximation converges in $C^1$, and its $L$ errors converge in $L^ d$ because $p>d$. Correct the vanishing boundary error in (11.24.3). Passage to the limit shows that $Lv\leq 0$ and $v|_{\partial D}\geq 0$ imply $v\geq 0$.
The same comparison proves the strong maximum principle. If $v\in W^{2,p}$, $Lv\geq 0$, and $v$ has an interior maximum $M$, put $w=M-v\geq 0$. If $w$ is positive somewhere and zero somewhere, a small ball contained in $\{ w>0\} $ and tangent to its zero set can be chosen inside a coordinate chart. On the outer half-annulus of this ball,
\[ \zeta (x)=\exp (-k|x-c|^2)-\exp (-kr^2) \]
is positive and has $L\zeta >0$ for sufficiently large $k$, by uniform ellipticity. A small positive multiple of $\zeta $ is bounded above by $w$ on both boundary spheres, hence throughout the annulus by comparison. At the tangent point this forces a positive inward derivative of $w$, contradicting $Dw=0$. Connectedness proves that $v$ is constant. Applied to $L_ s$ on $X$, it gives $\ker L_ s=\mathbb R$. If $(L_ s-1)v=0$ and $v$ has a positive maximum, apply the strong maximum principle on its positive component, where $L_ sv=v>0$. Constancy contradicts that equation. Applying the argument to $-v$ rules out a negative minimum. Hence $\ker (L_ s-1)=0$.
Index and range. Compactness of $W^{2,p}\hookrightarrow L^ p$ and (11.24.2) now give
0EB6296FE2B1
11.24.4
\begin{equation} \| v\| _{W^{2,p}}\leq C\| (L_ s-1)v\| _ p \end{equation}
uniformly in $s$. Otherwise normalize a contradicting sequence in $W^{2,p}$, pass to $s_ j\to s$ and a strongly $L^ p$ convergent subsequence, and apply (11.24.2) to differences. Operator norm continuity in $s$ gives strong $W^{2,p}$ convergence to a nonzero member of $\ker (L_ s-1)$, which is impossible. The smooth operator $L_\eta -1$ has index zero and trivial kernel, hence is an isomorphism, by smooth elliptic theory. The method of continuity and (11.24.4) show that every $L_ s-1$ is an isomorphism. Finally, $L_\sigma $ differs from $L_\sigma -1$ by the compact inclusion $W^{2,p}\hookrightarrow L^ p$, so it is Fredholm of index zero. Its one-dimensional kernel makes its range have codimension one. $L^ p$ duality gives the annihilator assertion.
$\square$
Comments
Corrections, questions, and mathematical discussion are welcome. Sign in with GitHub to comment. Comments are public.