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13.27 A complete metric on positive-volume models7EAA1D7446C4

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The three-point modulus controls convergence even though $d_\theta $ need not satisfy the triangle inequality; two lines in the projective plane already show the failure. A complete metric can nevertheless be constructed from finite chains, as in the metrization of uniform structures. Continuity of the lower volume controls the chain estimates locally, and the reciprocal of the lower volume prevents Cauchy sequences from escaping to the zero-volume boundary.

Example 13.27.1.A1CA1768E392 Let $\theta $ be the Fubini–Study form on $\mathbb P^2$, normalized by $\int _{\mathbb P^2}\theta ^2=1$. There are analytic ordinary models $p,q,r$ of positive lower volume such that

\[ d_\theta (p,q)>d_\theta (p,r)+d_\theta (r,q). \]

Proof. Write $|Z|^2=|Z_0|^2+|Z_1|^2+|Z_2|^2$ in homogeneous coordinates. Fix a rational $a\in (0,1/2)$ and put

\[ u=a\log \frac{|Z_0|^2}{|Z|^2},\qquad v=a\log \frac{|Z_1|^2}{|Z|^2},\qquad w=u+v. \]

With $H_ i=\{ Z_ i=0\} $, the corresponding currents are $a[H_0]+(1-a)\theta $, $a[H_1]+(1-a)\theta $ and $a[H_0]+a[H_1]+(1-2a)\theta $. The background is closed, so each singularity volume equals the non-pluripolar mass, which is the mass of the smooth part:

\[ U(u)=U(v)=(1-a)^2,\qquad U(w)=(1-2a)^2. \]

The maximum $\max (u,v)$ has the ordinary type of

\[ z=a\log \frac{|Z_0|^2+|Z_1|^2}{|Z|^2}. \]

To compute its volume, blow up the common point $[0:0:1]$ of $H_0$ and $H_1$. Denote the blowup by $\pi :Y\to \mathbb P^2$, its exceptional divisor by $E$, and the pencil map $[Z_0:Z_1]$ by $f:Y\to \mathbb P^1$. For the Fubini–Study form $\omega _1$ of mass one on $\mathbb P^1$, the Poincaré–Lelong formula gives

\[ \pi ^*\theta +\mathrm{dd}^{\mathrm{c}}(z\circ \pi )=a[E]+\beta , \qquad \beta =(1-a)\pi ^*\theta +af^*\omega _1. \]

Here $\beta $ is smooth and semipositive. Also

\[ \int _ Y(\pi ^*\theta )^2=1,\qquad \int _ Y\pi ^*\theta \wedge f^*\omega _1=1,\qquad (f^*\omega _1)^2=0. \]

The mixed integral is one because every fiber of the pencil maps onto a line. By lemma 10.17.3 and change of variables off $E$,

\[ U(\max (u,v))=\int _ Y\beta ^2=1-a^2. \]

Since $w\leq u$ and $w\leq v$, (13.22.2) and the definition of $d_\theta $ give

\[ \begin{split} d_\theta (u,v)& =4a-4a^2,\\ d_\theta (u,w)+d_\theta (w,v)& =4a-6a^2. \end{split} \]

Set $p=P_\theta [u]$, $q=P_\theta [v]$ and $r=P_\theta [w]$. By proposition 18.4.8, these models have the same analytic singularity types as $u$, $v$ and $w$, and their lower volumes are at least $(1-2a)^2$. By projection invariance (proposition 13.22.4), they have the same comparisons, and the difference between the two sides is $2a^2>0$. $\square$

We return to the big background $\theta $ on the $n$-dimensional manifold $X$. Write $L(p)=\underline{\operatorname {vol}}_\theta (p)$, and let

\[ \mathcal M_+(\theta )=\bigcup _{\delta >0}\mathcal M_\delta (\theta ) \]

be the space of ordinary models of positive lower volume. We keep the notation $U$ and $M$ of section 13.22.

Proposition 13.27.2.44E1935166EC For $p,q\in \mathcal M_\delta (\theta )$,

160186BB8FD9 13.27.3
\begin{equation} |L(p)-L(q)|\leq nM\min \left\{ 1, \left(\frac{2d_\theta (p,q)}\delta \right)^{1/n}\right\} . \end{equation}

If $p_ j,p\in \mathcal M_+(\theta )$ and $d_\theta (p_ j,p)\to 0$, then $L(p_ j)\to L(p)>0$.

Proof. Put $s=d_\theta (p,q)$ and $m=\max (p,q)$. If $s\geq \delta /2$, the bound follows from $|L(p)-L(q)|\leq M$, and if $s=0$, then $p=q$ by proposition 13.22.4. Suppose $0<s<\delta /2$ and take $t=(2s/\delta )^{1/n}$. The upper-volume deficit from either $p$ or $q$ to $m$ is at most $s$, while $L(m)\geq \delta $. Thus lemma 13.18.1 gives a potential $h\in \mathrm{PSH}(X,\theta )$ with

\[ (1-t)m+th\leq p. \]

Volume addition and monotonicity imply $L(p)\geq (1-t)^ nL(m)\geq (1-t)^ nL(q)$, so $L(q)-L(p)\leq (1-(1-t)^ n)M\leq nMt$. Interchanging $p$ and $q$ proves the bound.

For the last assertion, put $s_ j=d_\theta (p_ j,p)$. Whenever $0<s_ j<L(p)/2$, the same stretching argument applied to $\max (p_ j,p)$ gives

\[ L(p_ j)\geq (1-t_ j)^ nL(p),\qquad t_ j=\left(\frac{2s_ j}{L(p)}\right)^{1/n}. \]

If $s_ j=0$, then $p_ j=p$. Hence $L(p_ j)\geq L(p)/2$ for all sufficiently large $j$, and (13.27.3) with $\delta =L(p)/2$ gives $L(p_ j)\to L(p)$. $\square$

Theorem 13.27.4.126E2D85CA62 There is a complete metric $\mathfrak d_\theta $ on $\mathcal M_+(\theta )$ such that

C3F22D1C1644 13.27.5
\begin{equation} \mathfrak d_\theta (p_ j,p)\longrightarrow 0 \quad \Longleftrightarrow \quad d_\theta (p_ j,p)\longrightarrow 0. \end{equation}

A sequence $p_ j$ is $\mathfrak d_\theta $-Cauchy if and only if it is $d_\theta $-Cauchy and the sequence $1/L(p_ j)$ is Cauchy in $\mathbb R$. On each $\mathcal M_\delta (\theta )$, the metric $\mathfrak d_\theta $ and the comparison $d_\theta $ define the same uniform structure, and the restriction of $\mathfrak d_\theta $ is complete.

Proof. Step 1: a decreasing family of symmetric relations. Set $C=1+M$ and $m(p)=L(p)/C$, so that $0<m(p)<1$. Put $a_1=1$, $a_{k+1}=na_ k+1$, and choose $0<\varepsilon _1<1$. Recursively choose $\varepsilon _{k+1}>0$ so small that, with $r_ k=4^{a_{k+1}}\varepsilon _{k+1}$,

\[ 3\varepsilon _{k+1}<\varepsilon _ k,\qquad 3r_ k+4nM\left(\frac{2r_ k}{C}\right)^{1/n}<\varepsilon _ k. \]

Let $\mathcal U_0=\mathcal M_+(\theta )^2$ and, for $k\geq 1$, set

\[ \mathcal U_ k=\left\{ (p,q): \left|\frac1{m(p)}-\frac1{m(q)}\right|<\varepsilon _ k, \quad d_\theta (p,q)<\varepsilon _ k\min \{ m(p),m(q)\} ^{a_ k}\right\} . \]

These symmetric sets contain the diagonal and decrease with $k$, and their intersection is the diagonal by proposition 13.22.4. We claim that

207990AB4803 13.27.6
\begin{equation} \mathcal U_{k+1}\circ \mathcal U_{k+1}\circ \mathcal U_{k+1} \subset \mathcal U_ k\qquad (k\geq 0), \end{equation}

where composition of relations means joining successive pairs. For $k=0$ this is immediate. For $k\geq 1$, suppose $(p_{i-1},p_ i)\in \mathcal U_{k+1}$ for $i=1,2,3$, and put $m_*=\min _{0\leq i\leq 3}m(p_ i)$. The reciprocal differences along this chain have total less than $3\varepsilon _{k+1}<1$, so $1/m(p_ i)>1/m_*-1$. Hence $m(p_ i)\leq 4m_*$ for every $i$: if $m_*\leq 3/4$, this follows from $1/m_*-1\geq 1/(4m_*)$, and otherwise from $m(p_ i)<1$. Each successive comparison is therefore less than

\[ e=r_ k m_*^{a_{k+1}}. \]

All four models have lower volume at least $Cm_*$. Applying (13.22.6) with $\delta =Cm_*$ twice, first with middle point $p_2$ and then with middle point $p_1$, yields

\[ \begin{split} d_\theta (p_0,p_3) & \leq 3e+4nM\left(\frac{2e}{Cm_*}\right)^{1/n}\\ & \leq \left(3r_ k+4nM\left(\frac{2r_ k}{C}\right)^{1/n}\right)m_*^{a_ k}\\ & <\varepsilon _ k\min \{ m(p_0),m(p_3)\} ^{a_ k}. \end{split} \]

Here $(a_{k+1}-1)/n=a_ k$, $a_{k+1}\geq a_ k$ and $m_*<1$. The endpoint reciprocal difference is less than $3\varepsilon _{k+1}<\varepsilon _ k$, proving (13.27.6).

Step 2: the chain metric. Define

3DFF4A358B9C 13.27.7
\begin{equation} \mathfrak d_\theta (p,q)=\inf \sum _{i=1}^ N2^{-k_ i}, \end{equation}

where the infimum runs over finite chains $p=p_0,p_1,\ldots ,p_ N=q$ and integers $k_ i\geq 0$ with $(p_{i-1},p_ i)\in \mathcal U_{k_ i}$; we call $\sum _ i2^{-k_ i}$ the cost of the chain. A single edge in $\mathcal U_0$ gives $\mathfrak d_\theta \leq 1$. Reversing and concatenating chains gives symmetry and the triangle inequality, while diagonal edges with arbitrarily large indices give $\mathfrak d_\theta (p,p)=0$.

We next prove the inclusions

D335BA8A7131 13.27.8
\begin{equation} \{ \mathfrak d_\theta <2^{-(k+1)}\} \subset \mathcal U_ k\subset \{ \mathfrak d_\theta \leq 2^{-k}\} \qquad (k\geq 1). \end{equation}

The second inclusion follows by using a single edge. For the first, we prove by induction on the number of edges that every chain of cost less than $2^{-k}$ has its endpoints in $\mathcal U_{k-1}$, simultaneously for all $k\geq 1$. For one edge this follows because the $\mathcal U_ k$ decrease. For a chain of cost $A<2^{-k}$, choose $l\geq k$ with

\[ 2^{-(l+1)}\leq A<2^{-l}. \]

Split the chain at the first edge at which the cumulative cost reaches $2^{-(l+1)}$. The subchains before and after this edge both have cost less than $2^{-(l+1)}$, so by induction their endpoint pairs lie in $\mathcal U_ l$; an empty subchain is interpreted as a diagonal pair. Every edge cost is a power of two smaller than $2^{-l}$, so the middle edge lies in $\mathcal U_{l+1}\subset \mathcal U_ l$. By (13.27.6), the endpoints of the whole chain form a pair in $\mathcal U_{l-1}\subset \mathcal U_{k-1}$. This completes the induction and proves (13.27.8). Since the $\mathcal U_ k$ intersect in the diagonal, $\mathfrak d_\theta $ separates points, so it is a metric.

Step 3: convergence and completeness. By (13.27.8), $\mathfrak d_\theta (p_ j,p)\to 0$ if and only if $(p_ j,p)$ eventually lies in every $\mathcal U_ k$. This implies $d_\theta (p_ j,p)\to 0$. Conversely, if $d_\theta (p_ j,p)\to 0$, then proposition 13.27.2 gives $L(p_ j)\to L(p)>0$, so for each fixed $k$ both inequalities defining $\mathcal U_ k$ hold eventually. This proves (13.27.5).

The same inclusions show that a $\mathfrak d_\theta $-Cauchy sequence is $d_\theta $-Cauchy and has Cauchy reciprocal lower volumes. These reciprocals are bounded, so a tail of the sequence lies in some $\mathcal M_\delta (\theta )$. By theorem 13.22.7, the sequence converges there for $d_\theta $, and hence for $\mathfrak d_\theta $. This proves completeness. Conversely, a $d_\theta $-Cauchy sequence with Cauchy reciprocal lower volumes has a common positive lower-volume bound on a tail, and then both inequalities defining each $\mathcal U_ k$ hold for all pairs of sufficiently late terms. This proves the Cauchy criterion.

On $\mathcal M_\delta (\theta )$, (13.27.3) controls the reciprocal differences uniformly in terms of $d_\theta $, while $m(p)\geq \delta /C$ controls the second threshold in $\mathcal U_ k$. Thus $\mathfrak d_\theta $ and $d_\theta $ define the same uniform structure there. Continuity of the lower volume makes $\mathcal M_\delta (\theta )$ closed for $\mathfrak d_\theta $, so the restriction of $\mathfrak d_\theta $ to it is complete. $\square$

Corollary 13.27.9.5AF48DFCEE5A The ideal models in $\mathcal M_+(\theta )$ form a closed, hence complete, subspace of $(\mathcal M_+(\theta ),\mathfrak d_\theta )$, and the analytic ordinary models of positive lower volume are dense in it. Equivalently, this subspace is the metric completion of the analytic ordinary models of positive lower volume with the restricted metric.

Proof. By theorem 13.24.5, an ordinary model of positive lower volume that is a $d_\theta $-limit of ideal models is again an ideal model. The same theorem, which relies on theorem 13.24.3, gives the density of analytic models. Now apply (13.27.5) and the completeness of $\mathfrak d_\theta $. $\square$

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