Pome

15.28 Subsolutions for an individual density72CDE5ADD348

72CDE5ADD348

When $v_-(h)=0$, some densities admit no positive scaled subsolution. For one fixed density $f$, we now determine the largest coefficient $a$ for which $\mathrm{MA}^{\mathrm{ext}}_ h(u)\geq af\, \mathrm{d}V$ has a solution. The bounded truncations of $f$ have normalization scalars, and their limit is the answer. Moreover, the largest coefficient is attained: the normalized continuous solutions for the truncations have an $L^1$ cluster limit, and a lower bound for Monge–Ampère densities passes to $L^1$ limits of potentials by means of monotone upper envelopes.

Let $0\leq f\in L^1(\mathrm{d}V)$ have positive integral. Its truncations are bounded and nonzero, and we put

E3AA9E3C0D2D 15.28.1
\begin{equation} f_ k=\min (f,k),\qquad b_ h(f)=\lim _{k\to \infty }c_ h(f_ k). \end{equation}

By lemma 15.27.1, the scalars $c_ h(f_ k)$ decrease as $k$ increases, so the limit exists in $[0,c_ h(f_1)]$. We call $b_ h(f)$ the subsolution threshold of $f$; theorem 15.28.4 below justifies the name. The same lemma gives

4A9175A29709 15.28.2
\begin{equation} b_ h(f)=\inf \{ c_ h(q):0\leq q\leq f,\ q\in L^\infty , \ \textstyle \int _ Xq\, \mathrm{d}V>0\} . \end{equation}

Indeed, every such $q$ satisfies $q\leq f_ k$ for $k\geq \| q\| _{L^\infty }$, hence $c_ h(q)\geq c_ h(f_ k)\geq b_ h(f)$, while the truncations $f_ k$ are themselves admissible.

The Monge–Ampère operator is not continuous under $L^1$ convergence of potentials, but a lower bound for a Monge–Ampère density survives such convergence. The proof replaces the sequence by monotone upper envelopes, which converge in capacity, and uses the continuity of damped measures, theorem 13.15.9, applied with the Hermitian form $h$ and the weight $t\mapsto \mathrm{e}^{-t}$. For nonpositive $v\in \mathrm{PSH}(X,h)$, the corresponding damped measure is $\mathrm{e}^{v}\mathrm{MA}^{\mathrm{ext}}_ h(v)$, with weight zero on the pole set; it has finite mass and depends weakly continuously on $v$ under convergence in capacity.

Lemma 15.28.3.8298FD96E154 Let $s_ j,s\in \mathrm{PSH}(X,h)$ be bounded above by a common constant and satisfy $s_ j\to s$ in $L^1(X)$. Suppose $g_ j,g\geq 0$, $g_ j\to g$ in $L^1(\mathrm{d}V)$, and

\[ \mathrm{MA}^{\mathrm{ext}}_ h(s_ j)\geq g_ j\, \mathrm{d}V \quad \text{for every }j. \]

Then $\mathrm{MA}^{\mathrm{ext}}_ h(s)\geq g\, \mathrm{d}V$.

Proof. Subtracting a common constant, which does not change the extended measures, we may assume that all potentials are nonpositive. Pass to a subsequence along which $s_ j\to s$ and $g_ j\to g$ almost everywhere, and set

\[ a_ j=\inf _{\ell \geq j}g_\ell ,\qquad w_ j=\left(\sup _{\ell \geq j}s_\ell \right)^*. \]

Then $0\leq a_ j\uparrow g$ almost everywhere, and $w_ j\in \mathrm{PSH}(X,h)$ decreases to $s$.

Step 1: $\mathrm{MA}^{\mathrm{ext}}_ h(w_ j)\geq a_ j\, \mathrm{d}V$. Fix $j$. For $N\geq j$, the finite maximum $m_ N=\max _{j\leq \ell \leq N}s_\ell $ satisfies $\mathrm{MA}^{\mathrm{ext}}_ h(m_ N)\geq a_ j\, \mathrm{d}V$: on the set $\{ m_ N=s_\ell \} $, proposition 13.14.6 gives $\mathrm{MA}^{\mathrm{ext}}_ h(m_ N)\geq \mathrm{MA}^{\mathrm{ext}}_ h(s_\ell )\geq g_\ell \, \mathrm{d}V\geq a_ j\, \mathrm{d}V$, and these sets cover $X$. As $N\to \infty $, the functions $m_ N$ increase, are bounded above by zero, and have regularized limit $w_ j$. By lemma 5.29.19, $m_ N\to w_ j$ in capacity, so the damped measures $\mathrm{e}^{m_ N}\mathrm{MA}^{\mathrm{ext}}_ h(m_ N)$ converge weakly to $\mathrm{e}^{w_ j}\mathrm{MA}^{\mathrm{ext}}_ h(w_ j)$. Since $m_ N\to w_ j$ almost everywhere and $a_ j\leq g$, dominated convergence gives $\mathrm{e}^{m_ N}a_ j\to \mathrm{e}^{w_ j}a_ j$ in $L^1(\mathrm{d}V)$. Passing to the limit in $\mathrm{e}^{m_ N}\mathrm{MA}^{\mathrm{ext}}_ h(m_ N)\geq \mathrm{e}^{m_ N}a_ j\, \mathrm{d}V$ gives

\[ \mathrm{e}^{w_ j}\mathrm{MA}^{\mathrm{ext}}_ h(w_ j) \geq \mathrm{e}^{w_ j}a_ j\, \mathrm{d}V. \]

The pole set of $w_ j$ has zero volume and is not charged by $\mathrm{MA}^{\mathrm{ext}}_ h(w_ j)$. Dividing by the positive weight off this set gives $\mathrm{MA}^{\mathrm{ext}}_ h(w_ j)\geq a_ j\, \mathrm{d}V$.

Step 2: passage to $s$. Since $w_ j$ decreases to $s\in \mathrm{PSH}(X,h)$, lemma 5.29.19 gives $w_ j\to s$ in capacity, and the damped measures of $w_ j$ converge weakly to $\mathrm{e}^ s\mathrm{MA}^{\mathrm{ext}}_ h(s)$. Moreover $0\leq \mathrm{e}^{w_ j}a_ j\leq g$ and $\mathrm{e}^{w_ j}a_ j\to \mathrm{e}^ sg$ almost everywhere, so dominated convergence and Step 1 give

\[ \mathrm{e}^ s\mathrm{MA}^{\mathrm{ext}}_ h(s) \geq \mathrm{e}^ s g\, \mathrm{d}V. \]

Dividing by $\mathrm{e}^ s$ on $\{ s>-N\} $ and letting $N\to \infty $ gives $\mathrm{MA}^{\mathrm{ext}}_ h(s)\geq g\, \mathrm{d}V$ off the pole set of $s$. Both measures give zero mass to the pole set, which proves the lemma. $\square$

Theorem 15.28.4.CC13A9B1D927 For every nonnegative $f\in L^1(\mathrm{d}V)$ with positive integral,

\[ b_ h(f)=\max \{ a\geq 0:\text{there exists }u\in \mathrm{PSH}(X,h) \text{ with }\mathrm{MA}^{\mathrm{ext}}_ h(u) \geq af\, \mathrm{d}V\} . \]

In particular, $f\, \mathrm{d}V$ admits a positive scaled subsolution if and only if $b_ h(f)>0$.

Proof. If $\mathrm{MA}^{\mathrm{ext}}_ h(u)\geq af\, \mathrm{d}V$ with $a>0$, then also $\mathrm{MA}^{\mathrm{ext}}_ h(u)\geq af_ k\, \mathrm{d}V$ for every $k$, and lemma 15.27.1 gives $a\leq c_ h(f_ k)$. Letting $k\to \infty $ gives $a\leq b_ h(f)$. If $b_ h(f)=0$, the coefficient zero is attained by the zero potential.

Suppose now that $b=b_ h(f)>0$, and let $u_ k$ be continuous solutions of

\[ \mathrm{MA}_ h(u_ k)=c_ h(f_ k)f_ k\, \mathrm{d}V, \qquad \sup _ Xu_ k=0. \]

By theorem 5.25.2, a subsequence $u_{k_ j}$ converges in $L^1$ to some $u\in \mathrm{PSH}(X,h)$ with $\sup _ Xu=0$. The densities $c_ h(f_{k_ j})f_{k_ j}$ are dominated by $c_ h(f_1)f$ and converge to $bf$ almost everywhere, hence in $L^1$. Lemma 15.28.3 now gives $\mathrm{MA}^{\mathrm{ext}}_ h(u)\geq bf\, \mathrm{d}V$, so the maximum is attained at $a=b$. $\square$

When $b_ h(f)>0$, a function $u\in \mathrm{PSH}(X,h)$ with $\mathrm{MA}^{\mathrm{ext}}_ h(u)\geq b_ h(f)f\, \mathrm{d}V$ is called a threshold subsolution for $f$, and a threshold subsolution with $\mathrm{MA}^{\mathrm{ext}}_ h(u)=b_ h(f)f\, \mathrm{d}V$ is called a threshold solution; the theorem shows that threshold subsolutions exist. Its proof preserves only a lower bound for the density. It shows neither that the normalized solutions $u_ k$ converge in capacity, nor that their limit has finite mass, nor that equality holds in the limit; these are the additional difficulties of the exact equation for an individual density. The threshold does not depend on the choice of truncations. If $(q_ k)$ is any increasing sequence of nonzero bounded densities converging to $f$ almost everywhere, then $c_ h(q_ k)\geq b_ h(f)$ by (15.28.2); conversely, the second half of the proof, applied to normalized solutions for $q_ k$, gives a subsolution with coefficient $\lim _ kc_ h(q_ k)$, which is therefore at most $b_ h(f)$. Hence $\lim _ kc_ h(q_ k)=b_ h(f)$.

15.28.5 The greatest normalized threshold subsolutionE09A140F700D

Suppose $b_ h(f)>0$. The threshold subsolutions with supremum zero form a family that is stable under finite maxima and under $L^1$ limits. Its upper envelope is therefore again a normalized threshold subsolution, and it dominates all the others.

Proposition 15.28.6.D42D2088B421 Suppose $b=b_ h(f)>0$. The family

\[ \mathcal S_ f=\{ s\in \mathrm{PSH}(X,h):\sup _ Xs=0, \mathrm{MA}^{\mathrm{ext}}_ h(s)\geq bf\, \mathrm{d}V\} \]

is nonempty and compact in $L^1(X)$. Its upper envelope

\[ \Phi _ f=\left(\sup _{s\in \mathcal S_ f}s\right)^* \]

belongs to $\mathcal S_ f$ and is therefore its greatest member. Moreover, let $u_\lambda $ be the greatest exponential solutions of corollary 15.35.3 and $v_\lambda =u_\lambda -\sup _ Xu_\lambda $. Every $L^1$ limit of a sequence $v_{\lambda _ j}$ with $\lambda _ j\downarrow 0$ belongs to $\mathcal S_ f$, and hence lies below $\Phi _ f$.

Proof. The family is nonempty by theorem 15.28.4. By theorem 5.25.2, an $L^1$ limit of members of $\mathcal S_ f$ is $h$-plurisubharmonic with supremum zero, and lemma 15.28.3, with $g_ j=g=bf$, shows that it satisfies the measure inequality. Thus $\mathcal S_ f$ is a closed subset of the compact set of normalized $h$-plurisubharmonic functions, hence compact. It is also stable under finite maxima: if $s_1,s_2\in \mathcal S_ f$, then $\max (s_1,s_2)$ has supremum zero, and proposition 13.14.6, applied on the sets where the maximum equals $s_1$ or $s_2$, gives $\mathrm{MA}^{\mathrm{ext}}_ h(\max (s_1,s_2))\geq bf\, \mathrm{d}V$.

By Choquet's lemma there is a sequence $(s_ i)_{i\geq 1}$ in $\mathcal S_ f$ with $(\sup _ is_ i)^*=\Phi _ f$. Fix $s_0\in \mathcal S_ f$. The finite maxima $t_ N=\max (s_0,s_1,\ldots ,s_ N)$ belong to $\mathcal S_ f$, increase with $N$, and satisfy $s_0\leq t_ N\leq 0$; their regularized limit is $\Phi _ f$. Hence $t_ N\to \Phi _ f$ almost everywhere and, by dominated convergence, in $L^1$. Lemma 15.28.3 gives $\mathrm{MA}^{\mathrm{ext}}_ h(\Phi _ f)\geq bf\, \mathrm{d}V$, and $s_0\leq \Phi _ f\leq 0$ forces $\sup _ X\Phi _ f=0$. Thus $\Phi _ f\in \mathcal S_ f$, and by construction it dominates every member of $\mathcal S_ f$.

Finally, suppose $v_{\lambda _ j}\to v$ in $L^1$ with $\lambda _ j\downarrow 0$. The measures $\mathrm{MA}^{\mathrm{ext}}_ h(v_{\lambda _ j})=\mathrm{e}^{\lambda _ ju_{\lambda _ j}}f\, \mathrm{d}V$ have densities converging in $L^1$ to $bf$, by corollary 15.35.3. Applying lemma 15.28.3 to these densities and potentials shows that $v\in \mathcal S_ f$. $\square$

The proposition gives a greatest normalized threshold subsolution, but not the equation $\mathrm{MA}^{\mathrm{ext}}_ h(\Phi _ f)=bf\, \mathrm{d}V$; in particular, it does not show that $\Phi _ f$ has finite mass.

Proposition 15.28.7.69BB1D568698 Let $0\leq f\in L^1(\mathrm{d}V)$ have positive integral. If $f\in L^ p(\mathrm{d}V)$ for some $p>1$, then $b_ h(f)=c_ h(f)$. In general,

\[ b_ h(f)\geq \frac{v_-(h)}{\int _ Xf\, \mathrm{d}V}. \]

If $h$ is Kähler, then $b_ h(f)=\int _ Xh^ n/\int _ Xf\, \mathrm{d}V$.

Proof. Suppose that $f\in L^ p$ with $p>1$, and let $v$ be a continuous solution of $\mathrm{MA}_ h(v)=c_ h(f)f\, \mathrm{d}V$. It is a subsolution with coefficient $c_ h(f)$, so theorem 15.28.4 gives $c_ h(f)\leq b_ h(f)$. Conversely, lemma 15.27.1, applied to a threshold subsolution, gives $b_ h(f)\leq c_ h(f)$.

For general $f$, the continuous solution for $f_ k$ has total mass $c_ h(f_ k)\int _ Xf_ k\, \mathrm{d}V$, which is at least $v_-(h)$ by the definition of the lower mass. Letting $k\to \infty $ and using monotone convergence gives the lower bound for $b_ h(f)$. If $h$ is Kähler, Stokes' theorem for bounded potentials gives instead the identity $c_ h(f_ k)\int _ Xf_ k\, \mathrm{d}V=\int _ Xh^ n$, and the same limit proves the last assertion. $\square$

15.28.8 Smooth comparison testsA89D44842BA5

The infimum (15.28.2) runs over bounded measurable densities below $f$. One may ask whether smooth densities suffice to compute the threshold. A smooth test $g$ is in general not below $f$, so we compare it with $f$ through the ratio $\| g/f\| _{L^\infty }$. Thus let $f$ be a probability density bounded below by a positive constant, and define

\[ C_ h^{\mathrm{sm}}(f)=\inf _ g c_ h(g)\| g/f\| _{L^\infty }, \]

where $g$ ranges over smooth strictly positive probability densities. For each such $g$, with $R=\| g/f\| _{L^\infty }$, a subsolution with coefficient $a$ for $f\, \mathrm{d}V$ is a subsolution with coefficient $a/R$ for $g\, \mathrm{d}V$, so $a\leq Rc_ h(g)$ by lemma 15.27.1. Hence $b_ h(f)\leq C_ h^{\mathrm{sm}}(f)$, with equality if $f$ is smooth (take $g=f$). When the lower mass vanishes, the two quantities can differ even in their positivity.

Theorem 15.28.9.4AC87EC7D266 If $v_-(h)=0$, there is a probability density $f\in L^1(\mathrm{d}V)$ bounded below by a positive constant such that

\[ b_ h(f)=0<C_ h^{\mathrm{sm}}(f). \]

Thus $f\, \mathrm{d}V$ admits no positive scaled subsolution, although $c_ h(g)\| g/f\| _{L^\infty }$ is bounded below by a positive constant for all smooth strictly positive probability densities $g$.

Proof. We construct $f=(1+Q)/M$, where $Q\geq 0$ concentrates on closed nowhere dense sets in such a way that it has essential infimum zero on every nonempty open set.

Step 1: the pieces. Let $(U_ i)_{i\geq 1}$ be a countable basis of nonempty open subsets of $X$. We construct inductively numbers $\alpha _ j>0$, nonzero bounded densities $q_ j$, and closed nowhere dense sets $K_ j\subset X$ such that

\[ \int _ Xq_ j\, \mathrm{d}V\leq 1,\qquad q_ j=0\text{ outside }K_ j,\qquad c_ h(q_ j)\leq \alpha _ j2^{-j}. \]

Start with $\alpha _1=1/4$. Once $\alpha _ j$ has been chosen, theorem 12.15.4, theorem 12.2.3 and $v_-(h)=0$ give a smooth strictly positive probability density $g_ j$ with $c_ h(g_ j)<\alpha _ j2^{-j}$. Removing from $X$ an open dense set of small volume, we obtain a closed nowhere dense set $K_ j$ for which $q_ j=g_ j\mathbf1_{K_ j}$ is nonzero and, since $g_ j$ is bounded, arbitrarily close to $g_ j$ in $L^2$. By lemma 15.27.2 with $p=2$, we can therefore choose $K_ j$ so that $c_ h(q_ j)\leq \alpha _ j2^{-j}$.

After $K_1,\ldots ,K_ N$ have been chosen, put

\[ m_ N=\min _{1\leq i\leq N} \mathrm{d}V\left(U_ i\setminus \bigcup _{j=1}^ NK_ j\right)>0; \]

each set inside the minimum is open and nonempty, since a finite union of closed nowhere dense sets is closed and nowhere dense. Choose

\[ 0<\alpha _{N+1}\leq \min \{ \alpha _ N/2,\ 2^{-N-2}m_ N\} , \]

and continue. In particular,

\[ \sum _{j>N}\alpha _ j\leq 2\alpha _{N+1} \leq 2^{-N-1}m_ N. \]

Step 2: the concentrating part. The function $Q=\sum _ j\alpha _ jq_ j$ is nonnegative and integrable. We claim that its essential infimum on every nonempty open set is zero. Since every nonempty open set contains some $U_ i$, it suffices to consider $U_ i$. Take $N\geq i$ and remove $K_1,\ldots ,K_ N$ from $U_ i$. On the remaining set, whose volume is at least $m_ N$, the first $N$ summands of $Q$ vanish. By Markov's inequality, the set where the tail $\sum _{j>N}\alpha _ jq_ j$ exceeds $2^{-N}$ has volume at most

\[ 2^ N\sum _{j>N}\alpha _ j\int _ Xq_ j\, \mathrm{d}V \leq m_ N/2. \]

Hence $Q\leq 2^{-N}$ on a subset of $U_ i$ of positive volume. Letting $N\to \infty $ proves the claim.

Step 3: $b_ h(f)=0$. Set $M=\int _ X(1+Q)\, \mathrm{d}V$ and $f=(1+Q)/M$, a probability density with $f\geq 1/M$. If $\mathrm{MA}^{\mathrm{ext}}_ h(u)\geq af\, \mathrm{d}V$ with $a>0$, then $\mathrm{MA}^{\mathrm{ext}}_ h(u)\geq (a\alpha _ j/M)q_ j\, \mathrm{d}V$, and lemma 15.27.1 gives

\[ \frac{a\alpha _ j}{M}\leq c_ h(q_ j)\leq \alpha _ j2^{-j} \quad \text{for every }j. \]

This is impossible. Hence $b_ h(f)=0$ by theorem 15.28.4.

Step 4: $C_ h^{\mathrm{sm}}(f)>0$. Let $g$ be a smooth strictly positive probability density and put $R=\| g/f\| _{L^\infty }$. Then $g\leq R(1+Q)/M$ almost everywhere, and this forces $g\leq R/M$ everywhere. Otherwise, by continuity, $g>R(1+\varepsilon )/M$ on a nonempty open set for some $\varepsilon >0$, while $Q<\varepsilon $ on a subset of positive volume of this set by Step 2, a contradiction. The order and homogeneity of the scalar in lemma 15.27.1 now give $c_ h(g)\geq c_ h(R/M)=(M/R)c_ h(1)$, that is,

\[ R c_ h(g)\geq M c_ h(1). \]

The constant density $g=1$ attains this value, since $\operatorname *{ess\, inf}_ XQ=0$ gives $\| 1/f\| _{L^\infty }=M$. Thus $C_ h^{\mathrm{sm}}(f)=M c_ h(1)>0$, as required. $\square$

The point is that a smooth test $g$ with $\| g/f\| _{L^\infty }\leq R$ is controlled by the essential infimum of $f$ on open sets. It therefore cannot detect an increase of $f$ that leaves this essential infimum unchanged on every open set, whereas bounded measurable tests below $f$ do detect it. The theorem concerns only the existence of subsolutions. Exact solutions of $\mathrm{MA}^{\mathrm{ext}}_ h(u)=b_ h(f)f\, \mathrm{d}V$, the singularity class in which they should be sought, and compactness of their normalized solutions are further problems; see 24.2.2.

Cite this page

Comments

Corrections, questions, and mathematical discussion are welcome. Sign in with GitHub to comment. Comments are public.