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18.6 geometry of ideal classes3D693DBCCBE2

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Ideal projection selects a canonical representative of each multiplier-ideal class, so the $L^1$ distance between these representatives defines a metric on the classes. Since the representatives have supremum zero, normalized compactness makes this metric totally bounded and its completion compact. The points added in the completion, however, need not be ideal models. On a curve this happens as badly as possible: approximating curvature measures by finite atomic measures shows that the completion contains every normalized potential.

Let

\[ \mathfrak S_{\mathcal I}(X,\theta ) =\mathrm{PSH}(X,\theta )/{\sim _{\mathcal I}},\qquad \mathfrak M_{\mathcal I}(X,\theta ) =\{ q\in \mathrm{PSH}(X,\theta ):P_\theta [q]_{\mathcal I}=q\} \]

be the set of multiplier-ideal classes and the set of ideal models, and write $[u]_{\mathcal I}$ for the multiplier-ideal class of $u$. By theorem 18.4.2, the map $[u]_{\mathcal I}\mapsto P_\theta [u]_{\mathcal I}$ identifies these two sets, and every ideal envelope has supremum zero.

Proposition 18.6.1.47A414940A74 The formula

CE9BB18A9158 18.6.2
\begin{equation} d_{\mathcal I,\theta ,\mathrm{d}V}([u]_{\mathcal I},[v]_{\mathcal I}) =\int _ X|P_\theta [u]_{\mathcal I}-P_\theta [v]_{\mathcal I}|\, \mathrm{d}V \end{equation}

defines a finite metric on $\mathfrak S_{\mathcal I}(X,\theta )$. This metric space is totally bounded. Its metric completion is canonically the $L^1$ closure of $\mathfrak M_{\mathcal I}(X,\theta )$ inside the compact space $\mathcal K_\theta $ of normalized $\theta $-plurisubharmonic functions in theorem 5.25.2. Changing $\mathrm{d}V$ to another smooth positive probability volume form gives a bi-Lipschitz equivalent metric.

Proof. The ideal envelopes are integrable and depend only on the ideal classes, so the formula is well defined and finite; symmetry and the triangle inequality are those of the $L^1$ norm. If the distance is zero, the two envelopes agree almost everywhere, hence everywhere by lemma 5.24.3, and projection shows that the two ideal classes coincide. Conversely, equal ideal classes have the same envelope.

By the normalized compactness theorem, $\mathfrak M_{\mathcal I}$ lies in the compact space $\mathcal K_\theta $. Every subset of a compact metric space is totally bounded, and its completion is its closure in that space. Finally, the ratio of two smooth positive volume forms on the compact manifold $X$ is bounded above and below by positive constants, and multiplying the integral by these bounds proves the last assertion. $\square$

18.6.3 Completion on a curveEFFAC36297D5

On a curve, a normalized potential is determined by its curvature measure. Replacing that measure by finite atomic approximations produces ideal models converging to the potential, even when the potential itself is not an ideal model.

Theorem 18.6.4.A55ADED04CFD Let $Y$ be a compact connected Riemann surface and $\theta $ a smooth positive form of total mass one. Fix a smooth positive probability volume form on $Y$, again denoted by $\mathrm{d}V$, and use $\mathcal K_\theta $, the envelopes and the ideal metric on $Y$ in place of $X$. Then the ideal models with finitely many logarithmic poles and zero non-pluripolar mass are dense in $\mathcal K_\theta $ for the $L^1$ topology. The logarithmic coefficients can be chosen rational, so these approximants have analytic singularities in the convention of Definition 6.14.5. Consequently the completion in proposition 18.6.1 is all of $\mathcal K_\theta $, and the metric on ideal classes is not complete.

Proof. We first show that the normalized Green potentials of finite atomic probability measures are ideal models, and then approximate the curvature measure of an arbitrary $u\in \mathcal K_\theta $ by such measures.

Let $\delta _ p$ denote the Dirac mass at $p$. For distinct points $p_1,\ldots ,p_ N\in Y$, consider a finitely supported probability measure

\[ \nu =\sum _{j=1}^ N a_ j\delta _{p_ j},\qquad a_ j>0,\quad \sum _ j a_ j=1. \]

The Green-kernel construction gives a potential $q_\nu $ with

\[ \theta +\mathrm{dd}^{\mathrm{c}}q_\nu =\nu ,\qquad \sup _ Yq_\nu =0. \]

Indeed, choose a kernel with $\mathrm{dd}^{\mathrm{c}}_ xG(x,p)=\delta _ p-\theta $. The sum $\sum _ j a_ jG(x,p_ j)$ has curvature $\nu $, and subtracting its finite supremum gives $q_\nu $. In a coordinate $z$ centered at $p_ j$, the function $q_\nu $ is $a_ j\log |z|^2$ plus a smooth function, and it is smooth away from the finite support of $\nu $. Since all of its curvature lies on its pole set, its non-pluripolar measure is zero.

We claim that $P_\theta [q_\nu ]_{\mathcal I}=q_\nu $. Let $w\in \mathrm{PSH}(Y,\theta )$ satisfy $w\sim _{\mathcal I}q_\nu $. The Lelong-number criterion of theorem 5.37.3 gives $\nu (w,p_ j)=a_ j$, where $\nu (w,p_ j)$ is the Lelong number of $w$ at $p_ j$. On a curve, this Lelong number is exactly the mass of the atom at $p_ j$ of the positive measure $\theta +\mathrm{dd}^{\mathrm{c}}w$. By distributional Stokes, that measure has total mass one, so the prescribed atoms already exhaust its mass and $\theta +\mathrm{dd}^{\mathrm{c}}w=\nu $. Thus $\mathrm{dd}^{\mathrm{c}}(w-q_\nu )=0$, and the difference is a harmonic distribution, hence a smooth function that is constant on the compact connected curve. Among these translates, the greatest nonpositive one is $q_\nu $, which proves the claim. By proposition 18.4.4, every such $q_\nu $ is also an ordinary model.

Now let $u\in \mathcal K_\theta $. Its curvature $\nu =\theta +\mathrm{dd}^{\mathrm{c}}u$ is a positive probability measure. Choose finitely supported probability measures $\nu _ j$ converging weakly to $\nu $. For instance, partition the compact metric space $Y$ into finitely many Borel sets of diameter tending to zero, place the mass of each set at a chosen point of it, and omit the sets of mass zero; uniform continuity of each continuous test function gives weak convergence.

The weights can be made rational. For a partition with weights $a_1,\ldots ,a_ N$, choose a large integer $M$, replace $a_ i$ by $b_ i=\lfloor Ma_ i\rfloor /M$ for $i<N$, put $b_ N=1-\sum _{i<N}b_ i$, and discard zero weights. The total absolute change is at most $2(N-1)/M$, which can be made to tend to zero along the partitions, so weak convergence is preserved. Writing $b_ i=m_ i/M$, the corresponding Green potential has the analytic type

\[ \left(\frac1M,\mathcal O_ Y\left(-\sum _ i m_ i p_ i\right)\right) \]

with smooth local remainders.

Let $q_ j=q_{\nu _ j}$. By normalized compactness, every subsequence has a further subsequence converging in $L^1$ to some $q\in \mathcal K_\theta $. Passing to the limit in the curvature identity in the sense of distributions gives

\[ \theta +\mathrm{dd}^{\mathrm{c}}q=\nu =\theta +\mathrm{dd}^{\mathrm{c}}u. \]

By the same harmonic argument, $q-u$ is constant, and the constant is zero because both suprema vanish. Every cluster value is therefore $u$, so the whole sequence converges to $u$ in $L^1$. This proves the density assertion and identifies the completion.

To see incompleteness concretely, choose a nonconstant smooth real function $f$. For sufficiently small $\varepsilon >0$, one has $\theta +\varepsilon \mathrm{dd}^{\mathrm{c}}f>0$, so $u=\varepsilon f-\sup _ Y(\varepsilon f)$ is a smooth, normalized and nonconstant element of $\mathcal K_\theta $. Its multiplier ideals are all trivial, so zero is a competitor and $P_\theta [u]_{\mathcal I}=0$. Thus $u\notin \mathfrak M_{\mathcal I}(Y,\theta )$, although $u$ lies in the completion. The set of ideal models is therefore not closed in its completion, and the metric is not complete. $\square$

18.6.5 Mass and capacity convergenceD9DB58D85DFB

The approximation in theorem 18.6.4 loses all non-pluripolar mass. For the nonconstant smooth $u$ at the end of its proof, the approximants $q_ j$ have zero non-pluripolar measure, whereas $\mathrm{MA}_\theta (u)=\theta +\mathrm{dd}^{\mathrm{c}}u>0$.

After normalization to mean zero, the same sequence converges in the Gauduchon trace metric of corollary 11.31.6. Nevertheless, the sequence $q_ j$ does not converge to $u$ in capacity. Otherwise, since $q_ j,u\leq 0$, theorem 13.15.9 would give

\[ 0=\mathrm{e}^{q_ j}\mathrm{MA}_\theta (q_ j) \rightharpoonup \mathrm{e}^{u}(\theta +\mathrm{dd}^{\mathrm{c}}u), \]

contradicting the strict positivity of the limiting measure. Thus weak convergence of traces and $L^1$ convergence do not imply convergence in capacity, even on a curve.

The same sequence shows that ideal projection is not continuous for the $L^1$ topology: $P_\theta [q_ j]_{\mathcal I}=q_ j\to u$, whereas $P_\theta [u]_{\mathcal I}=0$. The completion therefore distinguishes smooth normalized potentials that the quotient by multiplier-ideal equivalence identifies.

The loss of mass also occurs along sequences of fixed positive mass.

Proposition 18.6.6.8B21A468DD06 In the curve setting above, for every rational $0<\tau <1$ there are ideal models $r_ j$ with analytic singularities such that

\[ \begin{gathered} d_{\mathcal I,\theta ,\mathrm{d}V}([r_ j]_{\mathcal I},[0]_{\mathcal I})\longrightarrow 0,\\ \mathrm{MA}_\theta (r_ j)(Y)=\tau , \qquad \mathrm{MA}_\theta (r_ j)\rightharpoonup \tau \theta . \end{gathered} \]

In particular, non-pluripolar mass is not continuous for this metric, even on a family whose masses have a fixed positive lower bound.

Proof. Choose finitely supported probability measures $\nu _ j$ with rational weights converging weakly to $\theta $, and let $q_ j$ be their normalized Green potentials; the preceding proof gives $q_ j\to 0$ in $L^1$. Put $a=1-\tau $ and $r_ j=P_\theta [a q_ j]_{\mathcal I}$. The scaled potential lies in the same background, since

\[ \theta +\mathrm{dd}^{\mathrm{c}}(aq_ j)=(1-a)\theta +a\nu _ j\geq 0. \]

Since $aq_ j$ is a competitor, $aq_ j\leq r_ j\leq 0$, and hence $r_ j\to 0$ in $L^1$. By projection, $r_ j$ is an ideal model. By proposition 18.4.8, it has exactly the logarithmic coefficients of $aq_ j$, which are rational, with bounded local remainders, and it is locally bounded away from the finite pole set. On the curve, removing the polar part of the curvature therefore gives

\[ \mathrm{MA}_\theta (r_ j)=\theta +\mathrm{dd}^{\mathrm{c}}r_ j-a\nu _ j. \]

By distributional Stokes, this measure has total mass $1-a=\tau $. The positive curvature measures $\theta +\mathrm{dd}^{\mathrm{c}}r_ j$ have mass one and converge as distributions, hence weakly, to $\theta $. Since $\nu _ j\rightharpoonup \theta $, the last identity gives $\mathrm{MA}_\theta (r_ j)\rightharpoonup \tau \theta $. Finally, $P_\theta [0]_{\mathcal I}=0$, so the distance in the statement is $\int _ Y|r_ j|\, \mathrm{d}V$, which tends to zero. The limiting potential $0$ has non-pluripolar measure $\theta $, of mass one. $\square$

For comparison, let $d_{S,\theta }$ denote the singularity pseudometric $d_ S$ recalled at the beginning of the chapter, computed in the background $\theta $. Since $r_ j\leq 0$, the ordered-distance formula of Lemma 16.9.7 applies and gives

\[ d_{S,\theta }(r_ j,0) =\frac12\left(\int _ Y\theta -\int _ Y\mathrm{MA}_\theta (r_ j)\right) =\frac{1-\tau }{2}>0. \]

Thus $d_{S,\theta }$ keeps the fixed mass gap that disappears in the elementary ideal metric.

18.6.7 Comparison with scalar normalization0F1DD25AE72E

We return to $X$ of arbitrary dimension, with the fixed volume form $\mathrm{d}V$. The scalar pseudometric $\Delta $ of (11.39.3) compares the normalization scalars $B_\varphi $ of section 11.33 uniformly over all continuous logarithmic densities. When an analytic singularity is shrunk to zero, the estimate in a smaller background makes this scalar distance tend to zero. At a fixed mass, however, the normalization scalar in a closed background does not see the location of the poles.

Example 18.6.8.0F685C3DE85F Let $\theta $ be semipositive and big, and let $a\in \mathrm{PSH}(X,\theta )$ have analytic singularities with $a\leq 0$. Use the normalization scalars $B_\varphi $ and the sets $\mathcal A_\varphi (G)$ of supporting probabilities from section 11.33, section 11.34, defined with the fixed volume form $\mathrm{d}V$. Set

\[ \varphi _ t=P_\theta [ta],\qquad t\in \mathbb Q\cap (0,1). \]

By proposition 18.4.8, $\varphi _ t\sim ta$; since the ordinary envelope depends only on the ordinary type, $P_\theta [\varphi _ t]=\varphi _ t$. Moreover $ta\in \mathrm{PSH}(X,t\theta )$ and $ta\leq \varphi _ t$, so the envelope $P_{t\theta }(\varphi _ t)$ in the smaller background is not identically $-\infty $. By proposition 11.39.1,

\[ \sup _{G\in C(X)}|B_{\varphi _ t}(G)-B_0(G)| \leq -n\log (1-t)\longrightarrow 0 \qquad (t\downarrow 0). \]

When $\theta $ is Hermitian and $G$ is fixed and smooth, every choice in $\mathcal A_{\varphi _ t}(G)$ converges weakly in $L^1$ to the smooth Gauduchon adjoint probability, by corollary 11.39.6, theorem 11.34.9.

By contrast, the projective references in example 11.42.3 have equal mass and identical normalization functionals, although their poles and multiplier ideals differ.

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