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5.44 Integration against non-pluripolar measures2111608E9FA1

2111608E9FA1

For uniformly bounded potentials, $L^1$ convergence with respect to a smooth volume form can be transferred to any fixed finite measure that does not charge pluripolar sets. Passing to bounded exponentials extends this to families that are only bounded above. The same mechanism applies to moving mixed Monge–Ampère measures of bounded potentials and to smoothings of a fixed measure.

5.44.1 A fixed measure48FF0BFC07F6

Cegrell's fixed-measure convergence lemma states that a uniformly bounded sequence of plurisubharmonic functions converging in $L^1_{\mathrm{loc}}$ converges in $L^1(\nu )$ on compact subsets, for every finite non-pluripolar measure $\nu $. The usual formulation, which allows passing to a subsequence, gives the same conclusion: apply it to every subsequence after extracting a further subsequence converging almost everywhere for the smooth volume, and use the subsequence criterion for convergence. This is the classical fixed-measure argument used in [Section 11.1.2, GZ17], and we use this local lemma as a standard input.

Lemma 5.44.2.983B3E6349BB Let $\nu $ be a finite non-pluripolar measure on $X$. If uniformly bounded quasi-plurisubharmonic functions $a_ j,a$ have a common smooth lower curvature bound and $a_ j\to a$ in $L^1(X)$, then

\[ \int _ X|a_ j-a|\, \mathrm{d}\nu \longrightarrow 0. \]

If instead $u_ j,u\in \mathrm{PSH}(X,\theta )$ have a common upper bound and $u_ j\to u$ in $L^1(X)$, then, for every $b>0$,

\[ \int _ X|\mathrm{e}^{bu_ j}-\mathrm{e}^{bu}|\, \mathrm{d}\nu \longrightarrow 0. \]

Proof. For the first statement, add a fixed smooth strictly plurisubharmonic function on each of finitely many coordinate balls, so that the resulting functions are uniformly bounded and plurisubharmonic there. Apply the local lemma on smaller compact balls covering $X$ and sum the integrals; the added functions cancel in the differences.

For the second statement, choose $A>0$ with $A\omega \geq \theta $. If $u_ j\leq C$, the convex chain rule gives $\mathrm{dd}^{\mathrm{c}}\mathrm{e}^{bu_ j}\geq -bA\mathrm{e}^{bC}\omega $, also for unbounded $u_ j$ by bounded truncation; here the exponential is given the value zero at a pole. Thus the functions $\mathrm{e}^{bu_ j}$ are uniformly bounded and quasi-plurisubharmonic, with a common lower curvature bound. They converge in $L^1(\mathrm{d}V)$, because the exponential is Lipschitz with constant $b\mathrm{e}^{bC}$ on $(-\infty ,C]$. The first statement now applies. $\square$

5.44.3 Vanishing exponents7442B45F8567

Proposition 5.44.4.A89FF7CB0129 Let $\varphi \in \mathrm{PSH}(X,\theta )$ be unbounded below, and for each $\lambda >0$ let $u_\lambda $ be a quasi-plurisubharmonic function with $u_\lambda \sim \varphi $. Then, for each $\lambda >0$, the function $\lambda u_\lambda $ has infinite distance in $L^\infty (\mathrm{d}V)$ from every constant. In particular, $\lambda u_\lambda $ cannot converge uniformly on $X$ to a finite constant as $\lambda \downarrow 0$.

Proof. Since $u_\lambda \leq \varphi +C$ for a constant $C$, the function $u_\lambda $ is unbounded below. Every nonempty strict sublevel set $\{ u_\lambda <t\} $ of the upper semicontinuous function $u_\lambda $ is open, hence of positive smooth volume. Thus $u_\lambda $, and with it $\lambda u_\lambda $, is essentially unbounded below, and both conclusions follow. $\square$

A vanishing exponent gives convergence of the exponentials to one, even when the normalized potentials vary.

Lemma 5.44.5.D260E972F57C Let $v_ j\in \mathrm{PSH}(X,\theta )$ satisfy $\sup _ Xv_ j=0$, and let $\lambda _ j>0$ decrease to zero. For every finite non-pluripolar measure $\mu $,

\[ \int _ X\left|\mathrm{e}^{\lambda _ jv_ j}-1\right|\, \mathrm{d}\mu \longrightarrow 0. \]

If $f\in L^ p(\mathrm{d}V)$ for some $p>1$, then more precisely

\[ \int _ X\left|\mathrm{e}^{\lambda _ jv_ j}-1\right|\, |f|\, \mathrm{d}V \leq C_ p\lambda _ j\| f\| _{L^ p(\mathrm{d}V)}. \]

The constant depends on the fixed background, $p$ and $\mathrm{d}V$.

Proof. Choose a Hermitian form $\Omega \geq \theta $, so that $v_ j\in \mathrm{PSH}(X,\Omega )$. By lemma 5.29.2, for every $T>1$,

\[ \operatorname {Cap}_\Omega (\{ v_ j<-T\} )\leq C/T \]

uniformly in $j$. Since $v_ j\leq 0$ and $1-\mathrm{e}^{-x}\leq x$ for $x\geq 0$, splitting the integral at this sublevel set gives

\[ \int _ X(1-\mathrm{e}^{\lambda _ jv_ j})\, \mathrm{d}\mu \leq \lambda _ jT\mu (X)+\mu (\{ v_ j<-T\} ). \]

By lemma 5.29.18, the second term is uniformly small when $T$ is large, and for this fixed $T$ the first term tends to zero as $j\to \infty $. This proves the general assertion; here the exponential is given the value zero at a pole, and pole sets have zero $\mu $-measure.

For the quantitative assertion, lemma 5.26.2, applied in the background $\Omega $, gives a uniform $L^ q$ bound for $-v_ j$, where $q=p/(p-1)$. Hölder's inequality and the bound

\[ 0\leq 1-\mathrm{e}^{\lambda _ jv_ j}\leq \lambda _ j|v_ j| \]

give the claimed estimate for every $j$. $\square$

5.44.6 Measures with bounded potentials80117515F812

The fixed measure can be replaced by moving mixed Monge–Ampère measures of uniformly bounded potentials, provided these potentials converge in capacity. Since $\omega $ need not be closed, the proof has to control the torsion terms that appear in integration by parts.

Lemma 5.44.7.27CEBF2AA643 Let $a_ j,a,w_ j,w\in \mathrm{PSH}(X,\omega )$ be uniformly bounded, and write $\omega _ v=\omega +\mathrm{dd}^{\mathrm{c}}v$. If $a_ j\to a$ in $L^1(X)$ and $w_ j\to w$ in capacity, then, for $0\leq k\leq n$,

\[ \int _ X|a_ j-a|\, \omega _{w_ j}^{k}\wedge \omega ^{n-k} \longrightarrow 0. \]

The same conclusion holds if, instead of $a_ j,a\in \mathrm{PSH}(X,\omega )$, the uniformly bounded functions $a_ j,a$ have any fixed smooth lower curvature bound.

Proof. By lemma 5.25.1, the tail envelopes $A_ j=(\sup _{\ell \geq j}a_\ell )^*$ decrease to $a$. Since $a\leq \max (a_ j,a)\leq A_ j$, monotone convergence in capacity of bounded potentials (lemma 5.29.19) implies

\[ \alpha _ j:=\max (a_ j,a)\longrightarrow a\quad \text{in capacity}. \]

We split $|a_ j-a|=(\alpha _ j-a)+(\alpha _ j-a_ j)$. The integral of the first part against the moving products tends to zero by lemma 5.29.16.

For the second part, put $h_ j=\alpha _ j-a_ j\geq 0$. We compare its integrals against the measures with indices $j$ and $\ell $. The case $k=0$ follows from the assumed $L^1$ convergence. For $k\geq 1$, put $z=w_ j-w_\ell $ and

\[ T=\sum _{s=0}^{k-1}\omega _{w_ j}^{s}\wedge \omega _{w_\ell }^{k-1-s}\wedge \omega ^{n-k}. \]

Factorization and Stokes' theorem on the compact manifold $X$ give

\begin{align*} & \int _ Xh_ j\bigl (\omega _{w_ j}^{k}-\omega _{w_\ell }^{k}\bigr ) \wedge \omega ^{n-k}\\ & \hspace{20mm}=\int _ Xh_ j\mathrm{dd}^{\mathrm{c}}z\wedge T =\int _ Xz\, \mathrm{dd}^{\mathrm{c}}(h_ jT). \end{align*}

Since $\omega $ is not assumed to be closed, $T$ need not be closed, and the product rule reads

CDF5AC2B6D12 5.44.8
\begin{equation} \mathrm{dd}^{\mathrm{c}}(h_ jT)=\mathrm{dd}^{\mathrm{c}}h_ j\wedge T+\mathrm{d}h_ j\wedge \mathrm d^{\mathrm c}T -\mathrm d^{\mathrm c}h_ j\wedge \mathrm{d}T+h_ j\mathrm{dd}^{\mathrm{c}}T. \end{equation}

None of the terms involving derivatives of $T$ need vanish.

We estimate the four terms. Since $\mathrm{dd}^{\mathrm{c}}h_ j=\omega _{\alpha _ j}-\omega _{a_ j}$, the absolute contribution of the first is at most

\[ \int _ X|z|(\omega _{\alpha _ j}+\omega _{a_ j})\wedge T. \]

It tends to zero as $j,\ell \to \infty $ by lemma 5.29.16, since $w_ j-w_\ell \to 0$ in capacity. Differentiating each factor shows that $\mathrm{d}T=\mathrm{d}\omega \wedge R$ and $\mathrm d^{\mathrm c}T=\mathrm d^{\mathrm c}\omega \wedge R$, where $R$ is a positive linear combination of mixed products of bidegree $(n-2,n-2)$. Moreover, $\mathrm{dd}^{\mathrm{c}}T$ is a sum of terms consisting of $\mathrm{dd}^{\mathrm{c}}\omega $ times mixed products of degree $n-2$, or of $\mathrm{d}\omega \wedge \mathrm d^{\mathrm c}\omega $ times mixed products of degree $n-3$; terms of negative degree are absent. These smooth torsion factors are bounded in absolute value by fixed multiples of $\omega ^2$ and $\omega ^3$, respectively. As $h_ j$ is uniformly bounded, the contribution of $h_ j\mathrm{dd}^{\mathrm{c}}T$ also tends to zero, by the same capacity estimate.

For the two gradient terms, the pointwise Cauchy–Schwarz inequality for a positive mixed product gives, for example,

\[ \left|\int _ Xz\, \mathrm{d}h_ j\wedge \mathrm d^{\mathrm c}\omega \wedge R\right|^2 \leq C\left(\int _ X|z|\, \mathrm{d}h_ j\wedge \mathrm d^{\mathrm c}h_ j\wedge \omega \wedge R\right) \left(\int _ X|z|\, \omega ^2\wedge R\right). \]

The second factor tends to zero, and the first is uniformly bounded. Indeed, if $p$ is any of the uniformly bounded potentials and $S$ any positive mixed product of degree $n-1$ occurring here, then

\[ \int _ X\mathrm{d}p\wedge \mathrm d^{\mathrm c}p\wedge S =\frac12\int _ Xp^2\mathrm{dd}^{\mathrm{c}}S-\int _ Xp\, \mathrm{dd}^{\mathrm{c}}p\wedge S. \]

Expand $\mathrm{dd}^{\mathrm{c}}S$ with all its torsion terms as above, and write $\mathrm{dd}^{\mathrm{c}}p=\omega _ p-\omega $. Boundedness of $p$ and lemma 5.29.16 bound both integrals uniformly. Finally, $\mathrm{d}h_ j\wedge \mathrm d^{\mathrm c}h_ j\leq 2\mathrm{d}\alpha _ j\wedge \mathrm d^{\mathrm c}\alpha _ j+2\mathrm{d}a_ j\wedge \mathrm d^{\mathrm c}a_ j$ as positive quadratic forms, which proves the asserted bound. The other gradient term is estimated in the same way. In dimension one, $T=1$ and all torsion terms in (5.44.8) vanish.

These integration-by-parts and energy identities hold for smooth potentials. They extend to bounded potentials through smooth decreasing approximations in the Hermitian background, using the local Bedford–Taylor chain rule, its gradient products and quasi-continuity; equivalently, they follow from the bounded current calculus of section 5.28. Only the common bound on the potentials enters the estimates.

We have shown that the difference between the integrals of $h_ j$ against the measures with indices $j$ and $\ell $ tends to zero as $j,\ell \to \infty $. For a fixed index $\ell $, the measure $\omega _{w_\ell }^ k\wedge \omega ^{n-k}$ is a fixed finite non-pluripolar measure, and lemma 5.44.2, applied separately to $\alpha _ j\to a$ and $a_ j\to a$ in $L^1(X)$, gives

\[ \int _ Xh_ j\, \omega _{w_\ell }^{k}\wedge \omega ^{n-k}\longrightarrow 0 \qquad \text{as }j\to \infty . \]

Choosing first $\ell $ large and then letting $j\to \infty $, we conclude that the integrals of $h_ j$ against $\omega _{w_ j}^ k\wedge \omega ^{n-k}$ tend to zero. Together with the estimate for $\alpha _ j-a$, this proves the result. If the $a_ j$ only have some other fixed lower curvature bound, choose a Hermitian form $\Omega \geq \omega $ such that they are $\Omega $-plurisubharmonic. By section 5.29, convergence in capacity is unchanged by this replacement. Apply the result just proved with $\Omega $ in place of $\omega $; by positivity, the original mixed measures are bounded by their counterparts for $\Omega $. $\square$

5.44.9 Smoothing the measure37976A2408E0

Convolution in coordinate charts gives smooth approximations of a finite measure. For a varying quasi-plurisubharmonic integrand, the submean inequality transfers the error to the original measure; this gives the additional control needed beyond weak convergence of the measures themselves.

For a smooth real $(1,1)$-form $\theta $ with $\mathrm{PSH}(X,\theta )\ne \varnothing $ and a non-pluripolar probability measure $\nu $ on $X$, put

\[ A_\theta (\nu )=\sup \left\{ \int _ X(-w)\, \mathrm{d}\nu : w\in \mathrm{PSH}(X,\theta ),\ \sup _ Xw=0\right\} . \]

This number may be infinite. It is finite for Monge–Ampère measures of bounded potentials.

Lemma 5.44.10.2E102F06172B Let $\psi \in \mathrm{PSH}(X,\omega )$ be bounded, and put $\nu =(\omega +\mathrm{dd}^{\mathrm{c}}\psi )^ n$. There is a finite constant $C$, depending only on $\omega $, $\theta $, $\mathrm{d}V$ and $\| \psi \| _\infty $, such that

\[ \int _ X(-w)\, \mathrm{d}\nu \leq C \qquad (w\in \mathrm{PSH}(X,\theta ),\ \sup _ Xw=0). \]

Proof. Choose finitely many pairs of concentric coordinate balls $B'_ a\Subset B_ a$ such that the $B'_ a$ cover $X$, and fixed smooth functions $q_ a,r_ a$ on $B_ a$ with $\mathrm{dd}^{\mathrm{c}}q_ a\geq \omega $ and $\mathrm{dd}^{\mathrm{c}}r_ a\geq \theta $, with $r_ a\leq 0$. Then $\psi +q_ a$ is bounded and plurisubharmonic, $w+r_ a$ is negative and plurisubharmonic, and positivity of bounded products gives

\[ \int _{B'_ a}(-w)\, \mathrm{d}\nu \leq \int _{B'_ a}(-w-r_ a)\bigl (\mathrm{dd}^{\mathrm{c}}(\psi +q_ a)\bigr )^ n \leq C_ a\bigl (1+\| w\| _{L^1(B_ a)}\bigr ). \]

The last step is the weighted Chern–Levine–Nirenberg estimate of section 5.27. Summing over the cover and using the normalized $L^1$ bound of theorem 5.25.2 proves the lemma. $\square$

To construct the smoothings, choose finitely many coordinate balls $B_ a$ and smooth functions $\eta _ a\geq 0$ with compact support in $B_ a$ and $\sum _ a\eta _ a=1$. Let $\chi \geq 0$ be a smooth radial kernel of integral one supported in the unit ball of $\mathbb C^ n$, and fix $\epsilon _ j\downarrow 0$ so small that all convolutions below stay in the corresponding coordinate ball. For a function $F$, let $S_{a,j}F$ be its convolution, in the chart of $B_ a$, with the kernel $\epsilon _ j^{-2n}\chi (\cdot /\epsilon _ j)$. For a probability measure $\nu $ on $X$, define a smooth probability measure $\nu _ j$ by convolving each coordinate measure $\eta _ a\nu $ with the same kernel and adding the extensions by zero. It is characterized by the identity

D656A5C5B2DC 5.44.11
\begin{equation} \int _ X F\, \mathrm{d}\nu _ j =\sum _ a\int _ X\eta _ a S_{a,j}F\, \mathrm{d}\nu , \end{equation}

for Borel functions $F$; since the kernel is even, the same convolution occurs on the right. This identity first holds for nonnegative Borel functions and then for integrable signed functions. In particular, $\nu _ j\rightharpoonup \nu $ weakly.

Lemma 5.44.12.88E063207C1B Let $\nu $ be a non-pluripolar probability measure with $A_\theta (\nu )<\infty $, and let $\nu _ j$ be its smoothings defined by (5.44.11). Then

\[ \sup _ j A_\theta (\nu _ j)<\infty . \]

Moreover, let $z_ j,z$ be quasi-plurisubharmonic functions with a common upper bound and a common smooth lower curvature bound, and suppose that $z_ j\to z$ both in $L^1(X)$ and in $L^1(\nu )$. Then

2D0225A9A28D 5.44.13
\begin{equation} \int _ X|z_ j-z|\, \mathrm{d}\nu _ j\longrightarrow 0. \end{equation}

Consequently, for every $\lambda >0$,

\[ \mathrm{e}^{\lambda z_ j}\nu _ j\rightharpoonup \mathrm{e}^{\lambda z}\nu . \]

Proof. On each coordinate ball $B_ a$ choose a fixed smooth function $q_ a$ with $\mathrm{dd}^{\mathrm{c}}q_ a\geq \theta $. If $w\in \mathrm{PSH}(X,\theta )$ and $\sup _ Xw=0$, then $w+q_ a$ is plurisubharmonic, and the submean inequality gives

\[ -S_{a,j}w\leq -w+S_{a,j}q_ a-q_ a\leq -w+C, \]

with a constant independent of $w$ and $j$. Integrating and using (5.44.11) proves $A_\theta (\nu _ j)\leq A_\theta (\nu )+C$.

For the second assertion, the tail envelopes

\[ H_ j=\left(\sup _{k\geq j}z_ k\right)^* \]

decrease to $z$ by lemma 5.25.1. Enlarge the functions $q_ a$ so that $H_ j+q_ a$, $z_ j+q_ a$ and $z+q_ a$ are all plurisubharmonic. Since $H_ j\geq z_ j$ and $H_ j\geq z$, we have $|z_ j-z|\leq 2H_ j-z_ j-z$, and the identity (5.44.11) and the submean inequality imply

\[ \begin{split} \int _ X|z_ j-z|\, \mathrm{d}\nu _ j & \leq \sum _ a\int _ X\eta _ a S_{a,j}(2H_ j-z_ j-z)\, \mathrm{d}\nu \\ & \leq 2\sum _ a\int _ X\eta _ a \bigl (S_{a,j}(H_ j+q_ a)-(z+q_ a)\bigr )\, \mathrm{d}\nu +\int _ X(z-z_ j)\, \mathrm{d}\nu . \end{split} \]

All these integrals are well defined: each function on the larger side of a submean inequality is bounded above, and its negative part is controlled by that of the integrable function on the smaller side plus a constant.

Radial averages of a plurisubharmonic function decrease when the radius decreases. Therefore $S_{a,j}(H_ j+q_ a)$ decreases to $z+q_ a$ on the support of $\eta _ a$: to identify the limit, fix an index $k$, use $H_ j\leq H_ k$ for $j\geq k$, let $j\to \infty $ in the radius, and then let $k\to \infty $; the reverse inequality is the submean inequality. The nonnegative integrand in the second line of the last display is dominated on this compact support by a constant minus $z$, which is $\nu $-integrable, so its integral tends to zero by dominated convergence. The final integral tends to zero by convergence in $L^1(\nu )$. This proves (5.44.13).

Since the exponential is Lipschitz on the common range of the functions, (5.44.13) also gives $\int _ X|\mathrm{e}^{\lambda z_ j}-\mathrm{e}^{\lambda z}|\, \mathrm{d}\nu _ j\to 0$. If $\zeta >0$ is smooth, then $\zeta \mathrm{e}^{\lambda z}=\mathrm{e}^{\lambda z+\log \zeta }$ is bounded and quasi-plurisubharmonic. For any fixed bounded quasi-plurisubharmonic function $F$, the same local submean argument and dominated convergence in (5.44.11) give

\[ \int _ XF\, \mathrm{d}\nu _ j\longrightarrow \int _ XF\, \mathrm{d}\nu . \]

Applying this to $F=\zeta \mathrm{e}^{\lambda z}$ gives $\int _ X\zeta \mathrm{e}^{\lambda z_ j}\, \mathrm{d}\nu _ j\to \int _ X\zeta \mathrm{e}^{\lambda z}\, \mathrm{d}\nu $ for every smooth $\zeta >0$. Since every smooth function is a difference of two positive smooth functions, the convergence holds for all smooth test functions, and uniformly bounded masses together with uniform approximation of continuous functions by smooth ones prove weak convergence. $\square$

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