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6.4 Interior density and the weighted estimate4E04198982E6

4E04198982E6

We now prove Hörmander's estimate, first for smooth weights (theorem 6.4.7) and then, by regularization, for arbitrary plurisubharmonic weights (theorem 6.4.9). Throughout, $\Omega \subset \mathbb C^ n$ is open, $n\ge 1$, and $\mathrm dV=\mathrm dV_{2n}$ is Lebesgue measure. For a real function $q$ of class $C^2$ we write $H_ q=(q_{j\bar k})$ for its complex Hessian matrix, with $q_{j\bar k}=\partial _{z_ j}\partial _{\bar z_ k}q$ as in (5.2.9), and we express our estimates through $H_ q$. This is the matrix denoted $\mathcal H(q)$ in section 7.8; we use the lighter notation here because $\mathcal H_0$, $\mathcal H_1$ and $\mathcal H_2$ will denote Hilbert spaces. By (5.2.9), the inequality $\mathrm{dd}^{\mathrm{c}}q\ge \varepsilon \beta $, with $\beta $ as in (5.2.8), is equivalent to $H_ q\ge \pi \varepsilon I$.

We also fix a smooth nonincreasing function $\kappa _0$ on $\mathbb R$ with $\kappa _0=1$ on $(-\infty ,0]$ and $\kappa _0=0$ on $[1,\infty )$. For instance, if $\rho _{1/2}$ is the mollifier of section 2.5 in dimension $d=1$, then $\theta _0(x)=\rho _{1/2}(x-1/2)$ is smooth and nonnegative, has integral one and vanishes outside $[0,1]$, and $\kappa _0(x)=1-\int _{-\infty }^ x\theta _0(y)\, \mathrm dy$ has these properties. The cutoff functions of one real variable used below are obtained from $\kappa _0$ by affine changes of the variable.

We give $(0,1)$- and $(0,2)$-forms the pointwise norms

\[ \Bigl |\sum _ jf_ j\, \mathrm d\bar z_ j\Bigr |^2=\sum _ j|f_ j|^2,\qquad \Bigl |\sum _{j<k}g_{jk}\, \mathrm d\bar z_ j\wedge \mathrm d\bar z_ k\Bigr |^2=\sum _{j<k}|g_{jk}|^2; \]

for $n=1$ there are no nonzero $(0,2)$-forms. For a measurable function $\varphi \colon \Omega \to [-\infty ,\infty )$, which we call a weight, we write $L^2(\Omega ,\mathrm e^{-\varphi })$ for the Hilbert space of measurable functions $u$ with $\int _\Omega |u|^2\mathrm e^{-\varphi }\, \mathrm dV<\infty $, modulo null functions, with the inner product $\langle u,v\rangle _\varphi =\int _\Omega u\bar v\, \mathrm e^{-\varphi }\, \mathrm dV$ and the norm $\| u\| _\varphi $. Similarly, $L^2_{(0,1)}(\Omega ,\mathrm e^{-\varphi })$ and $L^2_{(0,2)}(\Omega ,\mathrm e^{-\varphi })$ consist of the $(0,1)$- and $(0,2)$-forms $f$ with measurable coefficients and $\int _\Omega |f|^2\mathrm e^{-\varphi }\, \mathrm dV<\infty $, with the analogous inner products. We write $L^2_{\mathrm{loc},(0,1)}(\Omega )$ for the $(0,1)$-forms with coefficients in $L^2_{\mathrm{loc}}(\Omega )$. The operator $\bar\partial $ is always taken in the sense of distributions.

Fix smooth real functions $\varphi _1,\varphi _2,\varphi _3$ on $\Omega $ and put

\[ \mathcal H_0=L^2(\Omega ,\mathrm e^{-\varphi _1}),\quad \mathcal H_1=L^2_{(0,1)}(\Omega ,\mathrm e^{-\varphi _2}),\quad \mathcal H_2=L^2_{(0,2)}(\Omega ,\mathrm e^{-\varphi _3}). \]

Let $T=\bar\partial $ from $\mathcal H_0$ to $\mathcal H_1$ and $S=\bar\partial $ from $\mathcal H_1$ to $\mathcal H_2$ be defined on their maximal domains

\[ \operatorname{Dom}T=\{ u\in \mathcal H_0:\bar\partial u\in \mathcal H_1\} ,\qquad \operatorname{Dom}S=\{ f\in \mathcal H_1:\bar\partial f\in \mathcal H_2\} . \]

Since the weights are continuous, convergence in $\mathcal H_0$, $\mathcal H_1$ or $\mathcal H_2$ implies convergence in $L^2$ on compact sets, and hence in the sense of distributions; therefore $T$ and $S$ are closed. Since the measures $\mathrm e^{-\varphi _ k}\, \mathrm dV$ are Radon measures, lemma 2.5.1 shows that smooth compactly supported functions and forms are dense in $\mathcal H_0$ and in $\mathcal H_1$; they belong to $\operatorname{Dom}T$ and $\operatorname{Dom}S$, so $T$ and $S$ are densely defined. Finally $\bar\partial \bar\partial =0$ on distributions, so $\operatorname {Ran}T\subset \ker S$. Thus $T$ and $S$ satisfy the hypotheses on the operators in theorem 6.2.4, with $\mathcal H_ k$ in place of $H_ k$.

Let $f=\sum _ jf_ j\, \mathrm d\bar z_ j\in \operatorname{Dom}T^*$. For every $u\in C^\infty _ c(\Omega )$ we have

\[ \sum _ j\int _\Omega \partial _{\bar z_ j}u\; \overline{f_ j}\, \mathrm e^{-\varphi _2}\, \mathrm dV=\langle Tu,f\rangle _{\mathcal H_1}=\langle u,T^*f\rangle _{\mathcal H_0}=\int _\Omega u\, \overline{T^*f}\, \mathrm e^{-\varphi _1}\, \mathrm dV. \]

Integrating by parts on the left in the sense of distributions, we obtain $\mathrm e^{-\varphi _1}T^*f=-\sum _ j\partial _{z_ j}(f_ j\mathrm e^{-\varphi _2})$, that is,

0B44CA843C7B 6.4.1
\begin{equation} T^*f=-\mathrm e^{\varphi _1-\varphi _2} \sum _ j\bigl (\partial _{z_ j}f_ j-(\partial _{z_ j}\varphi _2)f_ j\bigr ) \end{equation}

in the sense of distributions. Conversely, if $f$ is a smooth compactly supported $(0,1)$-form, the same computation is valid for every $u\in \operatorname{Dom}T$, since it only pairs the distribution $\bar\partial u$ with the test form $f\mathrm e^{-\varphi _2}$; hence $f\in \operatorname{Dom}T^*$, and $T^*f$ is given by (6.4.1). For a general $f$, however, (6.4.1) describes $T^*f$ but does not characterize $\operatorname{Dom}T^*$: membership in $\operatorname{Dom}T^*$ also encodes a boundary condition, which compactly supported test functions cannot detect. The following lemma shows that this boundary condition does not matter for the estimate, provided the weights are suitably related.

Lemma 6.4.2.F03962A0AC31 Let $\varphi $ and $\psi $ be smooth real functions on $\Omega $, and put $\varphi _ k=\varphi +(k-3)\psi $ for $k=1,2,3$, so that $\varphi _1=\varphi -2\psi $, $\varphi _2=\varphi -\psi $ and $\varphi _3=\varphi $. Assume that there are functions $\chi _\nu \in C_ c^\infty (\Omega )$, $\nu \in \mathbb N$, with $0\le \chi _\nu \le 1$ and $|\bar\partial \chi _\nu |^2\le \mathrm e^\psi $, such that for every compact set $K\subset \Omega $ we have $\chi _\nu =1$ on a neighborhood of $K$ for all large $\nu $. Then, for the operators $T$ and $S$ defined by these weights, the smooth compactly supported $(0,1)$-forms are dense in $\operatorname{Dom}T^*\cap \operatorname{Dom}S$ for the graph norm $\| f\| _{\mathcal H_1}+\| T^*f\| _{\mathcal H_0}+\| Sf\| _{\mathcal H_2}$.

Proof. Step 1: cutting off. Let $f\in \operatorname{Dom}T^*\cap \operatorname{Dom}S$, and write $\chi =\chi _\nu $. Since $\chi $ is real, $|\partial _{z_ j}\chi |=|\partial _{\bar z_ j}\chi |$, so the Cauchy–Schwarz inequality gives $|\sum _ j(\partial _{z_ j}\chi )f_ j|^2\le |\bar\partial \chi |^2|f|^2$. Lagrange's identity $\sum _{j<k}|a_ jb_ k-a_ kb_ j|^2=|a|^2|b|^2-|\sum _ ja_ j\bar b_ j|^2$ gives likewise $|\bar\partial \chi \wedge f|^2\le |\bar\partial \chi |^2|f|^2$. Since $\varphi _1-2\varphi _2=-\varphi =-\varphi _3$ and $|\bar\partial \chi |^2\mathrm e^{-\varphi }\le \mathrm e^{-\varphi _2}$, the form $\bar\partial \chi \wedge f$ lies in $\mathcal H_2$, the function $\mathrm e^{\varphi _1-\varphi _2}\sum _ j(\partial _{z_ j}\chi )f_ j$ lies in $\mathcal H_0$, and both of their squared norms are at most

3B7B834E5CD4 6.4.3
\begin{equation} \int _\Omega |f|^2|\bar\partial \chi _\nu |^2\mathrm e^{-\varphi }\, \mathrm dV\le \| f\| _{\mathcal H_1}^2. \end{equation}

Let $u\in \operatorname{Dom}T$. Then $\chi u\in \operatorname{Dom}T$ and $T(\chi u)=\chi Tu+u\, \bar\partial \chi $, because $u\, \bar\partial \chi \in \mathcal H_1$, the weights being bounded on the support of $\chi $. As $\chi $ is real and $\overline{\partial _{\bar z_ j}\chi }=\partial _{z_ j}\chi $, we get

\[ \langle Tu,\chi f\rangle _{\mathcal H_1}=\langle T(\chi u),f\rangle _{\mathcal H_1}-\langle u\, \bar\partial \chi ,f\rangle _{\mathcal H_1} =\Bigl \langle u,\chi T^*f-\mathrm e^{\varphi _1-\varphi _2}\sum _ j(\partial _{z_ j}\chi )f_ j\Bigr \rangle _{\mathcal H_0}. \]

Hence $\chi f\in \operatorname{Dom}T^*$, and the distributional product rule shows that $\chi f\in \operatorname{Dom}S$, with

\[ \begin{split} T^*(\chi f)-\chi T^*f & =-\mathrm e^{\varphi _1-\varphi _2}\sum _ j(\partial _{z_ j}\chi )f_ j,\\ S(\chi f)-\chi Sf& =\bar\partial \chi \wedge f. \end{split} \]

By (6.4.3), the squared norms of both differences are bounded by $\int |f|^2|\bar\partial \chi _\nu |^2\mathrm e^{-\varphi }\, \mathrm dV$. As $\nu \to \infty $, $\bar\partial \chi _\nu $ tends to zero pointwise, since it vanishes near each point for large $\nu $, and the integrand is dominated by the integrable function $|f|^2\mathrm e^{-\varphi _2}$. By dominated convergence, both differences tend to zero. Again by dominated convergence, $\chi _\nu f\to f$, $\chi _\nu T^*f\to T^*f$ and $\chi _\nu Sf\to Sf$. Therefore $\chi _\nu f\to f$ in the graph norm.

Step 2: smoothing. It remains to approximate a form $f\in \operatorname{Dom}T^*\cap \operatorname{Dom}S$ with compact support $K\subset \Omega $. By (6.4.1),

\[ \sum _ j\partial _{z_ j}f_ j=-\mathrm e^{\varphi _2-\varphi _1}T^*f+\sum _ j(\partial _{z_ j}\varphi _2)f_ j\in L^2_{\mathrm{loc}}(\Omega ), \]

and $\bar\partial f=Sf\in L^2_{\mathrm{loc}}(\Omega )$. Let $f^\varepsilon =\sum _ j(f_ j*\rho _\varepsilon )\, \mathrm d\bar z_ j$, with $\rho _\varepsilon $ the mollifier of section 2.5; for small $\varepsilon $ these forms are smooth and supported in a fixed compact neighborhood $K'$ of $K$ in $\Omega $. Convolution commutes with derivatives with constant coefficients (proposition 2.5.3), so $\bar\partial f^\varepsilon =(\bar\partial f)*\rho _\varepsilon $ and $\sum _ j\partial _{z_ j}f^\varepsilon _ j=(\sum _ j\partial _{z_ j}f_ j)*\rho _\varepsilon $. By lemma 2.5.1, $f^\varepsilon $, $\sum _ j\partial _{z_ j}f^\varepsilon _ j$ and $\bar\partial f^\varepsilon $ converge in $L^2(K')$ to $f$, $\sum _ j\partial _{z_ j}f_ j$ and $\bar\partial f$. Since (6.4.1) applies to both $f^\varepsilon $ and $f$, and its remaining coefficients are smooth, $T^*f^\varepsilon \to T^*f$ in $L^2(K')$. The weights are bounded above and below on $K'$, so $f^\varepsilon \to f$ in the graph norm. $\square$

For compactly supported smooth forms, the inequality we need follows from an integration-by-parts identity, the Bochner–Kodaira–Morrey–Kohn identity in its flat weighted form.

Proposition 6.4.4.866FA0174B79 Let $\varphi $ be a smooth real function on $\Omega $, and let $\delta _ j$ be the differential operator $\delta _ jg=-\partial _{z_ j}g+(\partial _{z_ j}\varphi )g$, $1\le j\le n$. Then every smooth compactly supported $(0,1)$-form $f=\sum _ jf_ j\, \mathrm d\bar z_ j$ on $\Omega $ satisfies

\[ \begin{split} & \int \Bigl |\sum _ j\delta _ j f_ j\Bigr |^2\mathrm e^{-\varphi }\, \mathrm dV +\int |\bar\partial f|^2\mathrm e^{-\varphi }\, \mathrm dV\\ & \qquad =\int \sum _{j,k}\varphi _{j\bar k}f_ j\bar f_ k\, \mathrm e^{-\varphi }\, \mathrm dV +\int \sum _{j,k}|\partial _{\bar z_ k}f_ j|^2\mathrm e^{-\varphi }\, \mathrm dV. \end{split} \]

Consequently, if $\psi $ is a smooth real function and $T$ and $S$ are the operators defined by the weights $\varphi _ k=\varphi +(k-3)\psi $ of lemma 6.4.2, then for every $t>0$

038AC5695B6F 6.4.5
\begin{equation} \int \sum _{j,k}\varphi _{j\bar k}f_ j\bar f_ k\mathrm e^{-\varphi }\, \mathrm dV \le (1+t^{-1})\| T^*f\| _{\mathcal H_0}^2+\| Sf\| _{\mathcal H_2}^2 +(1+t)\int |f|^2|\bar\partial \psi |^2\mathrm e^{-\varphi }\, \mathrm dV. \end{equation}

Proof. For smooth compactly supported functions $g$ and $w$, integration by parts (Fubini's theorem and the fundamental theorem of calculus on lines) gives

\[ \langle \partial _{\bar z_ j}g,w\rangle _\varphi =-\int g\, \partial _{\bar z_ j}\bigl (\bar w\mathrm e^{-\varphi }\bigr )\, \mathrm dV=\int g\, \overline{\bigl (-\partial _{z_ j}w+(\partial _{z_ j}\varphi )w\bigr )}\, \mathrm e^{-\varphi }\, \mathrm dV=\langle g,\delta _ jw\rangle _\varphi , \]

because $\varphi $ is real; thus $\delta _ j$ is the formal adjoint of $\partial _{\bar z_ j}$ for the inner product $\langle \cdot ,\cdot \rangle _\varphi $, and taking complex conjugates we also have $\langle \delta _ jw,g\rangle _\varphi =\langle w,\partial _{\bar z_ j}g\rangle _\varphi $. Since $\partial _{\bar z_ k}\bigl ((\partial _{z_ j}\varphi )g\bigr )=\varphi _{j\bar k}g+(\partial _{z_ j}\varphi )\partial _{\bar z_ k}g$ and the derivatives $\partial _{z_ j}$ and $\partial _{\bar z_ k}$ commute, we obtain the commutation relation

\[ \partial _{\bar z_ k}(\delta _ jg)-\delta _ j(\partial _{\bar z_ k}g)=\varphi _{j\bar k}\, g. \]

By the adjoint relation, then the commutation relation, and then the conjugate adjoint relation,

\[ \begin{split} \Bigl \| \sum _ j\delta _ jf_ j\Bigr \| _\varphi ^2& =\sum _{j,k}\langle \delta _ jf_ j,\delta _ kf_ k\rangle _\varphi =\sum _{j,k}\langle \partial _{\bar z_ k}\delta _ jf_ j,f_ k\rangle _\varphi \\ & =\sum _{j,k}\langle \varphi _{j\bar k}f_ j,f_ k\rangle _\varphi +\sum _{j,k}\langle \delta _ j\partial _{\bar z_ k}f_ j,f_ k\rangle _\varphi \\ & =\int \sum _{j,k}\varphi _{j\bar k}f_ j\bar f_ k\mathrm e^{-\varphi }\, \mathrm dV+\sum _{j,k}\langle \partial _{\bar z_ k}f_ j,\partial _{\bar z_ j}f_ k\rangle _\varphi . \end{split} \]

On the other hand, $\bar\partial f=\sum _{j<k}(\partial _{\bar z_ j}f_ k-\partial _{\bar z_ k}f_ j)\, \mathrm d\bar z_ j\wedge \mathrm d\bar z_ k$, and expanding the squares gives

\[ \| \bar\partial f\| _\varphi ^2=\sum _{j\ne k}\| \partial _{\bar z_ k}f_ j\| _\varphi ^2-\sum _{j\ne k}\langle \partial _{\bar z_ k}f_ j,\partial _{\bar z_ j}f_ k\rangle _\varphi . \]

When we add the two identities, the terms with $j\ne k$ in the last sums cancel, and the remaining terms $\| \partial _{\bar z_ j}f_ j\| _\varphi ^2$ combine with $\sum _{j\ne k}\| \partial _{\bar z_ k}f_ j\| _\varphi ^2$ to give $\sum _{j,k}\| \partial _{\bar z_ k}f_ j\| _\varphi ^2$. This proves the identity.

For the estimate, we have $\varphi _1-\varphi _2=-\psi $ and $\partial _{z_ j}\varphi _2=\partial _{z_ j}\varphi -\partial _{z_ j}\psi $, so (6.4.1) reads

\[ \sum _ j\delta _ jf_ j=\mathrm e^\psi T^*f+\sum _ j(\partial _{z_ j}\psi )f_ j. \]

By the elementary inequality $|x+y|^2\le (1+t^{-1})|x|^2+(1+t)|y|^2$ for $x,y\in \mathbb C$,

\[ \Bigl \| \sum _ j\delta _ jf_ j\Bigr \| _\varphi ^2\le (1+t^{-1})\int |T^*f|^2\mathrm e^{2\psi -\varphi }\, \mathrm dV+(1+t)\int \Bigl |\sum _ j(\partial _{z_ j}\psi )f_ j\Bigr |^2\mathrm e^{-\varphi }\, \mathrm dV. \]

The first integral is $\| T^*f\| _{\mathcal H_0}^2$, because $\varphi _1=\varphi -2\psi $, and $|\sum _ j(\partial _{z_ j}\psi )f_ j|^2\le |\bar\partial \psi |^2|f|^2$ by the Cauchy–Schwarz inequality, since $|\partial _{z_ j}\psi |=|\partial _{\bar z_ j}\psi |$ for real $\psi $. Moreover $\| \bar\partial f\| _\varphi ^2=\| Sf\| _{\mathcal H_2}^2$, because $\varphi _3=\varphi $. Inserting these bounds into the identity and dropping its last, nonnegative, term, we obtain (6.4.5). $\square$

The right-hand side of $\bar\partial u=\alpha $ is measured by a norm dual to the complex Hessian of the weight. Let $A=(A_{j\bar k})$ be a positive semidefinite Hermitian $n\times n$ matrix, and write $A[b]=\sum _{j,k}A_{j\bar k}b_ j\bar b_ k$ for $b\in \mathbb C^ n$. For $\alpha \in \mathbb C^ n$, identified with the $(0,1)$-covector $\sum _ j\alpha _ j\, \mathrm d\bar z_ j$, the dual energy of $\alpha $ with respect to $A$ is

\[ |\alpha |_{A^{-1}}^2 =\sup _{b\ne 0}\frac{|\sum _ j\alpha _ j\bar b_ j|^2}{A[b]}\in [0,\infty ], \]

where a quotient with zero denominator is $0$ if its numerator vanishes and $+\infty $ otherwise. Directly from the definition, $|\sum _ j\alpha _ j\bar b_ j|^2\le |\alpha |_{A^{-1}}^2A[b]$ whenever $|\alpha |_{A^{-1}}<\infty $. If $(e_ l)$ is an orthonormal basis of $\mathbb C^ n$ in which the Hermitian quadratic form $A[\cdot ]$ is diagonal, with $A[\sum _ lc_ le_ l]=\sum _ l\lambda _ l|c_ l|^2$, then $|\alpha |_{A^{-1}}^2=\sum _{\lambda _ l>0}|\langle \alpha ,e_ l\rangle |^2/\lambda _ l$ if $\langle \alpha ,e_ l\rangle =0$ for every $l$ with $\lambda _ l=0$, and $|\alpha |_{A^{-1}}^2=\infty $ otherwise. In particular, the dual energy is a Hermitian quadratic form on the subspace of vectors where it is finite; it decreases when $A$ increases; and $|\alpha |_{A^{-1}}^2\le \lambda ^{-1}|\alpha |^2$ if $A\ge \lambda I$ with $\lambda >0$.

We shall integrate dual energies over $\Omega $. Let $A$ be a continuous function on $\Omega $ with values in the positive semidefinite Hermitian matrices, and let $\alpha $ be a $(0,1)$-form on $\Omega $ with measurable coefficients. Then $x\mapsto |\alpha (x)|_{A(x)^{-1}}^2$ is measurable. To see this, let $Q$ be a countable dense subset of $\mathbb C^ n\setminus \{ 0\} $, and for $b\ne 0$ let $\sigma _ x(b)$ be the quotient in the definition, formed with $\alpha (x)$ and $A(x)$. For fixed $b$, its numerator is a measurable function of $x$ and its denominator a continuous one, so $x\mapsto \sigma _ x(b)$ is measurable. It therefore suffices to show that $\sup _{b\in Q}\sigma _ x(b)=\sup _{b\ne 0}\sigma _ x(b)$ for each $x$. Let $b\ne 0$ and choose $b_ k\in Q$ with $b_ k\to b$. If $A(x)[b]>0$, then $\sigma _ x(b_ k)\to \sigma _ x(b)$, because the numerator and the denominator are continuous functions of $b$. If $A(x)[b]=0$ and $\sum _ j\alpha _ j(x)\bar b_ j\ne 0$, then the numerators of $\sigma _ x(b_ k)$ tend to a positive number while the denominators tend to $0$, so $\sigma _ x(b_ k)\to \infty =\sigma _ x(b)$. If both vanish, then $\sigma _ x(b)=0\le \sigma _ x(b_ k)$.

The largest eigenvalue $\| A(x)\| =\max _{|b|=1}A(x)[b]$ depends continuously on $x$, as the maximum over the unit sphere of a jointly continuous function, and $A\le (1+\| A\| )I$. Since the dual energy decreases when the matrix increases, we obtain

35C885FDEB1E 6.4.6
\begin{equation} |\alpha |^2\le (1+\| A\| )\, |\alpha |_{A^{-1}}^2. \end{equation}

Consequently, if $\varphi $ is a weight that is bounded above on every compact subset of $\Omega $ and $\int _\Omega |\alpha |_{A^{-1}}^2\mathrm e^{-\varphi }\, \mathrm dV<\infty $, then $\alpha \in L^2_{\mathrm{loc},(0,1)}(\Omega )$: on a compact set $K\subset \Omega $ we have $1+\| A\| \le C_ K$ and $\varphi \le m_ K$ for real constants $C_ K$ and $m_ K$, so that $|\alpha |^2\le C_ K\mathrm e^{m_ K}|\alpha |_{A^{-1}}^2\mathrm e^{-\varphi }$ on $K$ by (6.4.6), and $\int _ K|\alpha |^2\, \mathrm dV<\infty $. In particular, $\bar\partial \alpha $ is defined in the sense of distributions.

Theorem 6.4.7 (Hörmander).F85650C9CE6A Let $\Omega \subset \mathbb C^ n$ be a pseudoconvex open set, $n\ge 1$, and let $\varphi $ be a smooth plurisubharmonic function on $\Omega $. Let $\alpha $ be a $(0,1)$-form on $\Omega $ with measurable coefficients such that

\[ M=\int _\Omega |\alpha |_{H_\varphi ^{-1}}^2\mathrm e^{-\varphi }\, \mathrm dV<\infty \]

and $\bar\partial \alpha =0$. Then there is $u\in L^2(\Omega ,\mathrm e^{-\varphi })$ with $\bar\partial u=\alpha $ and $\int _\Omega |u|^2\mathrm e^{-\varphi }\, \mathrm dV\le M$.

Proof. The idea is to modify the weight far out in $\Omega $ so that lemma 6.4.2 applies and the error term in (6.4.5) is absorbed by additional convexity, and then to let the modification recede to the boundary.

Step 1: auxiliary functions. The matrix $H_\varphi $ is positive semidefinite because $\varphi $ is plurisubharmonic, and by the discussion preceding the theorem, applied with $A=H_\varphi $, the finiteness of $M$ implies that $\alpha \in L^2_{\mathrm{loc},(0,1)}(\Omega )$. By theorem 6.3.4, $\Omega $ has a nonnegative smooth strictly plurisubharmonic exhaustion function $s$. Fix an integer $t\ge 1$. Let $\kappa _0$ be the function fixed at the beginning of this section, put $c_\kappa =\sup |\kappa _0'|$, and for integers $\nu \ge 1$ put $\chi _\nu =\kappa _0(s-t-1-\nu )$. Then $0\le \chi _\nu \le 1$, and $\chi _\nu \in C^\infty _ c(\Omega )$, because $\{ s\le t+2+\nu \} $ is compact; $\chi _\nu =1$ on $\{ s\le t+1+\nu \} $, hence on a neighborhood of any given compact set for large $\nu $; and $\bar\partial \chi _\nu =\kappa _0'(s-t-1-\nu )\, \bar\partial s$ vanishes on $\{ s<t+2\} $ and satisfies $|\bar\partial \chi _\nu |^2\le c_\kappa ^2|\bar\partial s|^2$. We put

\[ \psi =\bigl (1-\kappa _0(s-t-1)\bigr )\log \bigl (1+c_\kappa ^2|\bar\partial s|^2\bigr ). \]

Then $\psi $ is smooth and nonnegative; $\psi $ and $\bar\partial \psi $ vanish on $\{ s\le t+1\} $, since $1-\kappa _0(x-t-1)$ and its derivative vanish for $x\le t+1$; and $|\bar\partial \chi _\nu |^2\le \mathrm e^\psi $ for every $\nu $, because $\mathrm e^\psi =1+c_\kappa ^2|\bar\partial s|^2$ on $\{ s\ge t+2\} $ and $\bar\partial \chi _\nu =0$ on $\{ s<t+2\} $.

Next we choose a smooth convex nondecreasing function $\gamma \colon \mathbb R\to [0,\infty )$ with $\gamma =0$ on $(-\infty ,t]$ such that

D557EE261608 6.4.8
\begin{equation} \gamma (s)\ge 2\psi ,\qquad H_{\gamma (s)}\ge (1+t)|\bar\partial \psi |^2 I, \qquad \int _\Omega |\alpha |^2\mathrm e^{-\varphi -\gamma (s)+\psi }\, \mathrm dV<\infty . \end{equation}

For integers $l\ge 1$ the sets $K_ l=\{ t+l\le s\le t+l+1\} $ are compact. The smallest eigenvalue of $H_ s$ is a positive continuous function on $\Omega $ (see the discussion following proposition 5.9.2), so its minimum $\lambda _ l$ over $K_ l$ is positive (if $K_ l=\varnothing $, put $\lambda _ l=1$ and $m_ l=P_ l=I_ l=0$), and the numbers $m_ l=(1+t)\max _{K_ l}|\bar\partial \psi |^2$, $P_ l=2\max _{K_ l}\psi $ and $I_ l=\int _{K_ l}|\alpha |^2\mathrm e^{-\varphi +\psi }\, \mathrm dV$ are finite, since $\alpha \in L^2_{\mathrm{loc},(0,1)}(\Omega )$. Choose a smooth nondecreasing function $g\colon \mathbb R\to [0,\infty )$ that vanishes on $(-\infty ,t]$ and satisfies, for every $l\ge 1$,

\[ g\ge m_ l/\lambda _ l\ \text{on }[t+l,t+l+1],\qquad \int _{t+l-1}^{t+l}g(x)\, \mathrm dx\ge \max \bigl \{ P_ l,\log ^+(2^ lI_ l)\bigr \} . \]

For instance, let $\kappa _1(x)=1-\kappa _0(2x)$, a smooth nondecreasing function with $\kappa _1=0$ on $(-\infty ,0]$ and $\kappa _1=1$ on $[1/2,\infty )$, and put $g(x)=\sum _{l\ge 1}c_ l\kappa _1(x-t-l+1)$ with $c_ l=\max \{ m_ l/\lambda _ l,2P_ l,2\log ^+(2^ lI_ l)\} $. The sum is locally finite, since only the terms with $l<x-t+1$ are nonzero at $x$, and all its terms vanish for $x\le t$. The $l$-th term equals $c_ l$ on $[t+l-1/2,\infty )$, so $g\ge c_ l$ on $[t+l,t+l+1]$ and $\int _{t+l-1}^{t+l}g(x)\, \mathrm dx\ge c_ l/2$.

Put $\gamma (x)=\int _{-\infty }^ xg(y)\, \mathrm dy$. Then $\gamma $ is smooth, nondecreasing and convex, because $\gamma '=g$ is nondecreasing, and $\gamma =0$ on $(-\infty ,t]$. Since $\Omega $ is the union of $\{ s\le t+1\} $ and the sets $K_ l$, we may check the first two conditions in (6.4.8) on each of these sets. On $\{ s\le t+1\} $ they hold because $\psi $ and $\bar\partial \psi $ vanish there while $\gamma \ge 0$ and $H_{\gamma (s)}\ge 0$. On $K_ l$ we have $\gamma (s)\ge \gamma (t+l)\ge P_ l\ge 2\psi $, and the chain rule

\[ H_{\gamma (s)}=\gamma '(s)H_ s+\gamma ''(s)\bigl (\partial _{z_ j}s\, \overline{\partial _{z_ k}s}\bigr )_{j,k}\ge \gamma '(s)H_ s \]

gives $H_{\gamma (s)}\ge (m_ l/\lambda _ l)\lambda _ lI\ge (1+t)|\bar\partial \psi |^2I$. Finally, the integral in (6.4.8) over the compact set $\{ s\le t+1\} $ is finite, and its integral over $K_ l$ is at most $\mathrm e^{-\gamma (t+l)}I_ l\le 2^{-l}$, because $\gamma (s)\ge \gamma (t+l)\ge \log ^+(2^ lI_ l)$ there; summing over $l$, we obtain the third condition.

Step 2: the estimate. Put $\varphi _0=\varphi +\gamma (s)$ and $\varphi _ k=\varphi _0+(k-3)\psi $ for $k=1,2,3$, and let $T$ and $S$ be the corresponding operators. By the last condition in (6.4.8), $\alpha \in \mathcal H_1=L^2_{(0,1)}(\Omega ,\mathrm e^{-\varphi _2})$, and $\alpha \in \ker S$. Let $f$ be a smooth compactly supported $(0,1)$-form. We apply (6.4.5) with $\varphi _0$ in place of $\varphi $ and with the integer $t$ fixed in Step 1. Since $H_{\varphi _0}=H_\varphi +H_{\gamma (s)}$, the second condition in (6.4.8) absorbs the last term of (6.4.5), and we obtain

\[ \int H_\varphi [f]\, \mathrm e^{-\varphi _0}\, \mathrm dV \le (1+t^{-1})\| T^*f\| _{\mathcal H_0}^2+\| Sf\| _{\mathcal H_2}^2. \]

Moreover $\varphi -2\varphi _2=-\varphi _0-\gamma (s)+2\psi \le -\varphi _0$ by the first condition in (6.4.8). Since $M<\infty $, the dual energy of $\alpha $ is finite almost everywhere, and the inequality $|\sum _ j\alpha _ j\bar f_ j|^2\le |\alpha |_{H_\varphi ^{-1}}^2H_\varphi [f]$ together with the Cauchy–Schwarz inequality gives

\[ \begin{split} |\langle \alpha ,f\rangle _{\mathcal H_1}|^2 & \le \int |\alpha |_{H_\varphi ^{-1}}^2\mathrm e^{-\varphi }\, \mathrm dV\cdot \int H_\varphi [f]\, \mathrm e^{\varphi -2\varphi _2}\, \mathrm dV \le M\int H_\varphi [f]\, \mathrm e^{-\varphi _0}\, \mathrm dV\\ & \le M(1+t^{-1})\bigl (\| T^*f\| _{\mathcal H_0}^2+\| Sf\| _{\mathcal H_2}^2\bigr ). \end{split} \]

Both sides are continuous for the graph norm of lemma 6.4.2, whose hypotheses hold by Step 1; hence the inequality extends to all $f\in \operatorname{Dom}T^*\cap \operatorname{Dom}S$. By theorem 6.2.4 there is $u_ t\in \mathcal H_0$ with $\bar\partial u_ t=\alpha $ and $\| u_ t\| _{\mathcal H_0}^2\le M(1+t^{-1})$. On $\{ s<t\} $ both $\gamma (s)$ and $\psi $ vanish, so $\varphi _1=\varphi $ there and

\[ \int _{\{ s<t\} }|u_ t|^2\mathrm e^{-\varphi }\, \mathrm dV\le M(1+t^{-1}). \]

Step 3: passage to the limit. For each integer $l\ge 1$ the functions $u_ t$ with $t\ge l$ have squared norms at most $2M$ in $L^2(\{ s<l\} ,\mathrm e^{-\varphi })$. By proposition 6.2.2 and a diagonal argument, there is a sequence $t_ i\to \infty $ such that $u_{t_ i}$ converges weakly in $L^2(\{ s<l\} ,\mathrm e^{-\varphi })$ for every $l$. The limits on different sublevel sets agree on their intersections, because restriction from $\{ s<l+1\} $ to $\{ s<l\} $ is a bounded linear map, and they define a function $u$ on $\Omega $. Weak convergence in these spaces implies convergence in the sense of distributions: a test function $\chi $ has support in some set $\{ s<l\} $, and $\int u_{t_ i}\chi \, \mathrm dV=\langle u_{t_ i},\bar\chi \mathrm e^\varphi \rangle _\varphi $ with $\bar\chi \mathrm e^\varphi \in L^2(\{ s<l\} ,\mathrm e^{-\varphi })$. Hence $\bar\partial u=\alpha $. By the lower semicontinuity of the norm in proposition 6.2.2, $\int _{\{ s<l\} }|u|^2\mathrm e^{-\varphi }\, \mathrm dV\le \varliminf _ iM(1+t_ i^{-1})=M$ for every $l$, and the monotone convergence theorem gives $\int _\Omega |u|^2\mathrm e^{-\varphi }\, \mathrm dV\le M$. $\square$

We now allow arbitrary plurisubharmonic weights. We write the weight as $p+q$, where $p$ is plurisubharmonic, possibly singular, and $q$ is smooth. The complex Hessian of $p$ is discarded, and the right-hand side is measured by the dual energy with respect to $H_ q$ alone, which need not be positive definite.

Theorem 6.4.9.88735CB0C076 Let $\Omega \subset \mathbb C^ n$ be a pseudoconvex open set, $n\ge 1$, let $p\in \mathrm{PSH}(\Omega )$, and let $q$ be a smooth real function on $\Omega $ whose complex Hessian matrix $A=H_ q$ is positive semidefinite. Let $\alpha $ be a $(0,1)$-form on $\Omega $ with measurable coefficients such that

\[ M=\int _\Omega |\alpha |_{A^{-1}}^2\mathrm e^{-p-q}\, \mathrm dV<\infty \]

and $\bar\partial \alpha =0$. Then the equation $\bar\partial u=\alpha $ has a solution with $\int _\Omega |u|^2\mathrm e^{-p-q}\, \mathrm dV\le M$. In particular, if $A\ge \lambda I$ for a positive continuous function $\lambda $ on $\Omega $, then $M$ may be replaced by $\int _\Omega \lambda ^{-1}|\alpha |^2\mathrm e^{-p-q}\, \mathrm dV$.

Proof. We regularize $p$ on relatively compact pseudoconvex subsets of $\Omega $, apply theorem 6.4.7 there, and pass to a weak limit. Since the weight $p+q$ is bounded above on compact sets, the discussion preceding theorem 6.4.7 shows that $\alpha \in L^2_{\mathrm{loc},(0,1)}(\Omega )$, so that $\bar\partial \alpha $ is defined. By corollary 6.3.5 there are pseudoconvex open sets $\Omega _1\subset \Omega _2\subset \cdots $ with $\Omega _ j\Subset \Omega $ and $\bigcup _ j\Omega _ j=\Omega $. Let $\rho _\varepsilon $ be the radial mollifier of section 2.5, and choose $\varepsilon _ j\downarrow 0$ with $\varepsilon _ j<\operatorname {dist}(\overline\Omega _ j,\mathbb C^ n\setminus \Omega )$. By proposition 5.9.2(2), $p_ j=p*\rho _{\varepsilon _ j}$ is defined, smooth and plurisubharmonic on the open neighborhood $\{ z\in \Omega :\operatorname {dist}(z,\mathbb C^ n\setminus \Omega )>\varepsilon _ j\} $ of $\overline\Omega _ j$, so its complex Hessian is positive semidefinite there, and $p_ j\downarrow p$ pointwise as $j\to \infty $. Put $\varphi _ j=p_ j+q$. Then $\varphi _ j$ is smooth with complex Hessian matrix $H_{\varphi _ j}\ge A\ge 0$ near $\overline\Omega _ j$, so it is plurisubharmonic there by proposition 5.9.2(1), and $\varphi _ j\ge p+q$. Since the dual energy decreases when the matrix increases,

\[ \int _{\Omega _ j}|\alpha |_{H_{\varphi _ j}^{-1}}^2\mathrm e^{-\varphi _ j}\, \mathrm dV \le \int _{\Omega _ j}|\alpha |_{A^{-1}}^2\mathrm e^{-p-q}\, \mathrm dV\le M. \]

By theorem 6.4.7 there is $u_ j$ on $\Omega _ j$ with $\bar\partial u_ j=\alpha $ and $\int _{\Omega _ j}|u_ j|^2\mathrm e^{-\varphi _ j}\, \mathrm dV\le M$.

Let $K\subset \Omega $ be compact. Then $K\subset \Omega _ k$ for some $k$, and for $j\ge k$ we have $\varphi _ j\le \varphi _ k$ on $K$, because $p_ j$ decreases. Hence $\int _ K|u_ j|^2\, \mathrm dV\le \mathrm e^{\max _ K\varphi _ k}M$ for $j\ge k$, so the sequence $(u_ j)$ is eventually bounded in $L^2(K)$ for every compact set $K$. Let $(K_ m)$ be a compact exhaustion of $\Omega $ (section 2.2). By proposition 6.2.2 and a diagonal argument, we find a subsequence that converges weakly in $L^2(K_ m)$ for every $m$. The weak limits are compatible, because restriction from $K_{m+1}$ to $K_ m$ is a bounded linear map, and they define a function $u\in L^2_{\mathrm{loc}}(\Omega )$; since every compact subset of $\Omega $ lies in some $K_ m$, the subsequence converges weakly to $u$ in $L^2(K)$ for every compact $K\subset \Omega $. Then $u_ j\to u$ in the sense of distributions, and $\bar\partial u=\alpha $.

Now let $K\subset \Omega $ be compact, and let $k$ be so large that $K\subset \Omega _ k$. On $L^2(K)$ the norm with weight $\mathrm e^{-\varphi _ k}$ is equivalent to the unweighted norm, so the subsequence also converges weakly for it, and the lower semicontinuity in proposition 6.2.2 gives

\[ \int _ K|u|^2\mathrm e^{-\varphi _ k}\, \mathrm dV\le \varliminf _ j\int _ K|u_ j|^2\mathrm e^{-\varphi _ k}\, \mathrm dV\le \varliminf _ j\int _ K|u_ j|^2\mathrm e^{-\varphi _ j}\, \mathrm dV\le M. \]

This holds for all large $k$, and $\mathrm e^{-\varphi _ k}$ increases to $\mathrm e^{-p-q}$ as $k\to \infty $; so the monotone convergence theorem gives $\int _ K|u|^2\mathrm e^{-p-q}\, \mathrm dV\le M$, and exhausting $\Omega $ by compact sets proves the estimate. The last assertion follows from the pointwise inequality $|\alpha |_{A^{-1}}^2\le \lambda ^{-1}|\alpha |^2$. $\square$

The density $\mathrm e^{-p-q}$ in theorem 6.4.9 takes values in $(0,\infty ]$. It is infinite exactly on the pole set $\{ p=-\infty \} $, which is a Lebesgue null set because $p$ is locally integrable (theorem 5.9.1), and it need not be locally integrable. Nevertheless, $L^2(\Omega ,\mathrm e^{-p-q})$ is a Hilbert space, and since $p+q$ is bounded above on compact sets, convergence in it implies convergence in $L^2_{\mathrm{loc}}(\Omega )$; we show both facts in the proof of lemma 6.4.10(2) below. That lemma also provides a distinguished solution of $\bar\partial u=\alpha $ in such weighted spaces. We write $\mathcal O(\Omega )$ for the space of holomorphic functions on an open set $\Omega \subset \mathbb C^ n$.

Lemma 6.4.10.961105705CF9 Let $\Omega \subset \mathbb C^ n$ be open, $n\ge 1$.

  1. Every distribution $h$ on $\Omega $ with $\bar\partial h=0$ is a holomorphic function: there is $g\in \mathcal O(\Omega )$ with $\langle h,\chi \rangle =\int _\Omega g\chi \, \mathrm dV$ for every test function $\chi $.

  2. Let $\varphi \colon \Omega \to [-\infty ,\infty )$ be a measurable function that is bounded above on every compact subset of $\Omega $. Then the elements of $L^2(\Omega ,\mathrm e^{-\varphi })$ represented by holomorphic functions form a closed subspace $\mathcal K$. Let $\alpha $ be a $(0,1)$-form with distribution coefficients such that the equation $\bar\partial u=\alpha $ has a solution in $L^2(\Omega ,\mathrm e^{-\varphi })$. Then among these solutions there is exactly one of smallest norm, and a solution is of smallest norm if and only if it is orthogonal to $\mathcal K$.

Proof. (1) The real and imaginary parts of $h$, given by $\operatorname{Re}\langle h,\chi \rangle $ and $\operatorname{Im}\langle h,\chi \rangle $ for real test functions $\chi $, are real distributions. Since derivatives of distributions commute, (5.2.9) shows that the Laplacian of $h$ is $4\sum _ j\partial _{z_ j}\partial _{\bar z_ j}h=0$. As the Laplacian has real coefficients, the real and imaginary parts of $h$ are harmonic distributions. By Weyl's lemma (theorem 3.1.11) they are given by smooth functions, and hence $h$ is given by a smooth function $g$. By integration by parts, the classical derivatives $\partial _{\bar z_ j}g$ represent the distributions $\partial _{\bar z_ j}h=0$, so they vanish almost everywhere by proposition 2.5.3(4), and hence everywhere, being continuous functions. Thus $g$ is holomorphic.

(2) Let $L\subset \Omega $ be compact, and let $m_ L$ be a real upper bound for $\varphi $ on $L$. For $u\in L^2(\Omega ,\mathrm e^{-\varphi })$ we have $\int _ L|u|^2\, \mathrm dV\le \mathrm e^{m_ L}\int _ L|u|^2\mathrm e^{-\varphi }\, \mathrm dV$. Hence $L^2(\Omega ,\mathrm e^{-\varphi })\subset L^2_{\mathrm{loc}}(\Omega )$, so that $\bar\partial u$ is defined in the sense of distributions, and convergence in $L^2(\Omega ,\mathrm e^{-\varphi })$ implies convergence in $L^2_{\mathrm{loc}}(\Omega )$, hence in the sense of distributions. The space $L^2(\Omega ,\mathrm e^{-\varphi })$ is a Hilbert space, by the completeness argument at the beginning of section 6.2, applied to the positive measure $\mathrm e^{-\varphi }\, \mathrm dV$. The set $\mathcal K$ is a linear subspace. It is closed: if $g_ j\in \mathcal K$ converge to $g$ in $L^2(\Omega ,\mathrm e^{-\varphi })$, then $g_ j\to g$ in the sense of distributions, so $\bar\partial g=\lim _ j\bar\partial g_ j=0$, and by (1) $g$ agrees almost everywhere with a holomorphic function, that is, $g\in \mathcal K$.

Let $u_0$ be a solution of $\bar\partial u=\alpha $ in $L^2(\Omega ,\mathrm e^{-\varphi })$. By (1), an element $u$ of this space is a solution if and only if $\bar\partial (u-u_0)=0$, that is, $u-u_0\in \mathcal K$. Thus the solutions form the nonempty closed convex set $u_0+\mathcal K$, which by proposition 6.2.1 contains a unique element $u_{\min }$ of smallest norm. If a solution $u$ is orthogonal to $\mathcal K$, then $\| u+k\| ^2=\| u\| ^2+\| k\| ^2\geq \| u\| ^2$ for every $k\in \mathcal K$, so $u$ has smallest norm, that is, $u=u_{\min }$. Conversely, if $P$ is the orthogonal projection onto $\mathcal K$ (proposition 6.2.1), then $u_{\min }-Pu_{\min }$ is a solution orthogonal to $\mathcal K$, hence equal to $u_{\min }$; so $u_{\min }$ is orthogonal to $\mathcal K$. $\square$

The solution of smallest norm in (2) is called the minimal solution of $\bar\partial u=\alpha $ in $L^2(\Omega ,\mathrm e^{-\varphi })$.

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