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15.30 Exact equations on products with zero lower massFC44870E2A2C

FC44870E2A2C

Positive lower mass guarantees solvability for all measures, but an individual density can have a positive threshold and an exact equation even when the lower mass vanishes. We construct explicit examples on products. Let $(X_0,h_0)$ be a connected compact Hermitian manifold of dimension $m\geq 1$ with $v_-(h_0)=0$. On its product with a projective space, a singular potential pulled back from the projective factor solves an explicit equation whose density has a sublogarithmic singularity. The coefficient is computed from the normalization scalars of bounded truncations, the equation itself follows from the product structure of the Monge–Ampère measure, and the product background again has zero lower mass.

Throughout this section, $Y=\mathbb P^ k$ with $k\geq 1$, $\kappa $ is the Fubini–Study form normalized by $\int _ Y\kappa ^ k=1$, and $X=X_0\times Y$, a compact complex manifold of dimension $N=m+k$ with the Hermitian background $H=h_0+\kappa $. Forms and functions on the factors are identified with their pullbacks to $X$. Put

\[ V_0=\int _{X_0}h_0^ m,\qquad C=\binom Nm,\qquad \mu =V_0^{-1}h_0^ m\wedge \kappa ^ k,\qquad R=\frac{\mu }{\mathrm{d}V}, \]

where $\mathrm{d}V$ is any smooth positive probability volume form on $X$. Then $\mu $ is a smooth positive probability volume form, and $R$ is smooth and bounded above and below by positive constants. The normalization scalar $c_ H$ and the threshold $b_ H$ are those of section 15.27, section 15.28, now on the $N$-dimensional manifold $X$ with background $H$.

For $0<\alpha <1$ define, on $Y$,

\[ \psi ([z_0:\cdots :z_ k])=\log \frac{\sum _{i=1}^ k|z_ i|^2}{\sum _{i=0}^ k|z_ i|^2}, \qquad u_\alpha =1-(1-\psi )^\alpha . \]

The function $\psi $ is smooth on $Y\setminus \{ o\} $, where $o=[1:0:\cdots :0]$, and tends to $-\infty $ at $o$; moreover $\psi \leq 0$, with equality exactly on the hyperplane $\{ z_0=0\} $. Thus $u_\alpha \leq 0$, and $u_\alpha $ has a single pole at $o$, where $u_\alpha (o)=-\infty $.

Lemma 15.30.1.B30B4EF45772 The function $u_\alpha $ is $\kappa $-plurisubharmonic with supremum zero, and

\[ \mathrm{MA}^{\mathrm{ext}}_\kappa (u_\alpha )=q_\alpha \kappa ^ k, \qquad \int _ Yq_\alpha \kappa ^ k=1. \]

The density $q_\alpha $ is smooth and strictly positive on $Y\setminus \{ o\} $, belongs to $L^1(\kappa ^ k)$, and belongs to no $L^ p(\kappa ^ k)$ with $p>1$. If we set $q_\alpha (o)=+\infty $, then every truncation $\min (q_\alpha ,s)$, $s>0$, is strictly positive and continuous on $Y$.

Proof. In homogeneous coordinates, $\kappa +\mathrm{dd}^{\mathrm{c}}\psi =\mathrm{dd}^{\mathrm{c}}\log \sum _{i=1}^ k|z_ i|^2\geq 0$ on $Y\setminus \{ o\} $. The function $\chi (t)=1-(1-t)^\alpha $, $t\leq 0$, is increasing and convex, with $0<\chi '\leq \alpha $. Hence, off $o$,

\[ \kappa +\mathrm{dd}^{\mathrm{c}}u_\alpha \geq (1-\chi '(\psi ))\kappa +\chi '(\psi )(\kappa +\mathrm{dd}^{\mathrm{c}}\psi ) \geq (1-\alpha )\kappa . \]

Since $u_\alpha $ is bounded above, it extends across $o$ as a $\kappa $-plurisubharmonic function, with value $-\infty $ at $o$. On the hyperplane $\{ z_0=0\} $ we have $\psi =0$, hence $u_\alpha =0$, so $\sup _ Yu_\alpha =0$.

To compute the measure, work in the affine chart $z_0=1$ and put $r=\sum _{i=1}^ k|z_ i|^2$. On this chart $\kappa =\mathrm{dd}^{\mathrm{c}}\log (1+r)$ and $\kappa +\mathrm{dd}^{\mathrm{c}}u_\alpha =\mathrm{dd}^{\mathrm{c}}F$, where $s(r)=1-\log (r/(1+r))$ and

\[ F(r)=\log (1+r)+1-s(r)^\alpha ,\qquad Q(r)=rF'(r)=\frac{r+\alpha s(r)^{\alpha -1}}{1+r}. \]

For a radial function, the Levi form has the tangential eigenvalue $F'(r)=Q(r)/r$, with multiplicity $k-1$, and the radial eigenvalue

\[ Q'(r)=\frac{1-\alpha s(r)^{\alpha -1}+\alpha (1-\alpha )r^{-1}s(r)^{\alpha -2}}{(1+r)^2}>0. \]

Integrating in the radial variable gives $\int _{\{ a<r<b\} }(\mathrm{dd}^{\mathrm{c}}F)^ k=Q(b)^ k-Q(a)^ k$; the constant of proportionality is fixed by the case $F=\log (1+r)$, for which $(\mathrm{dd}^{\mathrm{c}}F)^ k=\kappa ^ k$ has mass one on the chart and $Q(r)=r/(1+r)$. Since again $Q(0)=0$ and $Q(\infty )=1$, the punctured chart has mass one. The complement of the chart is a hyperplane, which has zero volume, and the non-pluripolar measure does not charge $o$. Hence $\int _ Yq_\alpha \kappa ^ k=1$.

Relative to $\kappa ^ k$, whose tangential and radial eigenvalues are $1/(1+r)$ and $1/(1+r)^2$, the density on this chart is

\[ q_\alpha (r)=(1+r)^{k+1}(Q(r)/r)^{k-1}Q'(r) \asymp r^{-k}(1-\log r)^{-1-k(1-\alpha )}\quad (r\downarrow 0). \]

Near $r=0$ the smooth volume is comparable to $r^{k-1}\mathrm{d}r$ in the radial variable, so $q_\alpha $ is integrable. For $p>1$, the substitution $L=1-\log r$ turns the integral of $q_\alpha ^ p$ into the integral of $\mathrm{e}^{k(p-1)L}$ times a power of $L$, which diverges. The same asymptotics show that $q_\alpha (r)\to +\infty $ uniformly as $r\downarrow 0$, so every truncation $\min (q_\alpha ,s)$ is continuous at $o$. Finally, $q_\alpha \geq (1-\alpha )^ k>0$ by the lower bound $\kappa +\mathrm{dd}^{\mathrm{c}}u_\alpha \geq (1-\alpha )\kappa $. $\square$

Lemma 15.30.2.40B884870886 Let $g$ be a strictly positive continuous function on $Y$, and put $M_ g=\int _ Yg\kappa ^ k$. Then

\[ c_ H(Rg)=\frac{CV_0}{M_ g}. \]

Proof. Suppose first that $g$ is smooth. Since $\kappa $ is Kähler, theorem 14.2.1 on $Y$ gives a smooth $\phi _ g$ with $A_ g=\kappa +\mathrm{dd}^{\mathrm{c}}\phi _ g>0$ and $A_ g^ k=(g/M_ g)\kappa ^ k$; the scalar is determined by integration, since both sides have mass one. On $X$, since $h_0^{m+1}=0$ and $A_ g^{k+1}=0$ for dimensional reasons,

\[ (H+\mathrm{dd}^{\mathrm{c}}\phi _ g)^ N=C h_0^ m\wedge A_ g^ k =(CV_0/M_ g)Rg\, \mathrm{d}V. \]

Uniqueness of the scalar gives $c_ H(Rg)=CV_0/M_ g$. For continuous $g>0$, choose smooth $g_ l>0$ converging uniformly to $g$. Since $g$ has a positive minimum, $(1-\varepsilon _ l)g\leq g_ l\leq (1+\varepsilon _ l)g$ for some $\varepsilon _ l\in (0,1)$ tending to zero. The order and homogeneity of the scalar in lemma 15.27.1 give

\[ (1-\varepsilon _ l)c_ H(Rg_ l)\leq c_ H(Rg) \leq (1+\varepsilon _ l)c_ H(Rg_ l). \]

Since $M_{g_ l}\to M_ g$, the smooth case proves the formula. $\square$

Theorem 15.30.3.B36BAA6B4AA0 The Hermitian form $H$ is not closed and satisfies $v_-(H)=0$. For every $0<\alpha <1$, the function $f=Rq_\alpha $ is a probability density in $L^1(\mathrm{d}V)$, belonging to no $L^ p(\mathrm{d}V)$ with $p>1$, and

\[ b_ H(f)=CV_0>0,\qquad \mathrm{MA}^{\mathrm{ext}}_ H(u_\alpha )=b_ H(f)f\, \mathrm{d}V. \]

The potential $u_\alpha $, pulled back to $X$, has supremum zero and finite mass $CV_0$. It belongs to $\mathcal E_{\mathrm{env}}(X,H,0)$, and $P_{\delta H}(u_\alpha )\not\equiv -\infty $ for every $0<\delta <1$.

Proof. Step 1: the threshold. Write $a=\min _ XR>0$, $A=\max _ XR$, and $M_ s=\int _ Y\min (q_\alpha ,s)\kappa ^ k$ for $s>0$. By lemma 15.30.1, the truncations $\min (q_\alpha ,s)$ are continuous and strictly positive, and $M_ s\uparrow 1$ as $s\to \infty $. The truncations of $f$ satisfy

\[ R\min (q_\alpha ,j/A)\leq \min (Rq_\alpha ,j) \leq R\min (q_\alpha ,j/a). \]

Hence lemma 15.30.2 and the monotonicity of the scalar give

\[ \frac{CV_0}{M_{j/a}}\leq c_ H(\min (f,j)) \leq \frac{CV_0}{M_{j/A}}. \]

Both bounds tend to $CV_0$ as $j\to \infty $, so $b_ H(f)=CV_0$, whatever the reference volume $\mathrm{d}V$.

Step 2: the equation. For $u_{\alpha ,j}=\max (u_\alpha ,-j)$, the binomial expansion of bounded local products, with factor forms of degrees $m$ and $k$, gives

\[ \mathrm{MA}_ H(u_{\alpha ,j}) =C h_0^ m\wedge \mathrm{MA}_\kappa (u_{\alpha ,j}). \]

Multiplying by $\mathbf1_{\{ u_\alpha >-j\} }$ and letting $j\to \infty $, as in the definition (13.14.4) of the extended measure, we obtain

\[ \mathrm{MA}^{\mathrm{ext}}_ H(u_\alpha )=Ch_0^ m\wedge q_\alpha \kappa ^ k =CV_0\, q_\alpha \mu =CV_0f\, \mathrm{d}V, \]

a measure of mass $CV_0$. The bounds $a\leq R\leq A$ transfer the integrability properties of $q_\alpha $ to $f$.

Step 3: lower mass and nonclosedness. Pull back bounded $h_0$-plurisubharmonic functions whose masses on $X_0$ tend to zero. The same expansion shows that their $H$-masses are $C$ times their masses on $X_0$, so $v_-(H)=0$. If $h_0$ were closed, Stokes' theorem would give every bounded $h_0$-plurisubharmonic function the mass $V_0>0$, contradicting $v_-(h_0)=0$. Hence $h_0$, and therefore $H$, is not closed.

Step 4: the envelopes. Choose $\alpha <\beta <1$. For $b\geq 1$ and $\varepsilon >0$ with $\varepsilon \beta \leq 1$, the number

\[ K_ b=\sup _{s\geq 1}\{ b s^\alpha -\varepsilon s^\beta \} -b \]

is finite, since $\beta >\alpha $. The function $g_ b=-\varepsilon (1-\psi )^\beta -K_ b$ on $Y$ satisfies $\kappa +\mathrm{dd}^{\mathrm{c}}g_ b\geq (1-\varepsilon \beta )\kappa \geq 0$, by the chain-rule computation in the proof of lemma 15.30.1, applied to the increasing convex function $t\mapsto -\varepsilon (1-t)^\beta $, whose derivative is at most $\varepsilon \beta $ for $t\leq 0$. With $L=1-\psi \geq 1$, the inequality $g_ b\leq bu_\alpha $ reads $bL^\alpha -\varepsilon L^\beta -b\leq K_ b$, so it holds on $Y\setminus \{ o\} $, and also at $o$, where both sides are $-\infty $. Thus the pullback of $g_ b$ belongs to $\mathrm{PSH}(X,H)$ and lies below $bu_\alpha $. Since $b\geq 1$ is arbitrary, $u_\alpha \in \mathcal E_{\mathrm{env}}(X,H,0)$ by definition 16.28.61. For $0<\delta <1$, take $b=1$ and $\varepsilon \beta \leq \delta $. Then $g_1$ is $\delta H$-plurisubharmonic and lies below $u_\alpha $, so $P_{\delta H}(u_\alpha )\geq g_1$ is not identically $-\infty $. $\square$

Corollary 15.30.4.8C4A9CEF04C8 Let $X_0$ be the elliptic threefold of theorem 12.19.1, with the balanced metric $\omega $ of proposition 12.19.18. On $X_0\times \mathbb P^2$, with background $H=\omega +\kappa $, the densities $f=Rq_\alpha $ of the preceding theorem satisfy

\[ v_-(H)=0,\qquad b_ H(f)=240\pi , \qquad \mathrm{MA}^{\mathrm{ext}}_ H(u_\alpha )=240\pi f\, \mathrm{d}V. \]

Proof. Theorem 12.19.1 gives $v_-(\omega )=0$, and proposition 12.19.18 gives $V_0=24\pi $. The product theorem applies with $m=3$, $k=2$ and $C=\binom 53=10$. $\square$

These examples show that an individual density can have a positive threshold and an exact equation even though the background has zero lower mass. The exactness comes from the product structure. For $k\geq 2$, the radial flux also identifies the normalized exponential limit in theorem 15.36.5; the first moment determines whether scalar centering has a finite limit. 24.2.2 asks for an exact equation for every integrable density with positive threshold.

15.30.5 Closed factors and arbitrary integrable densitiesEB3E71C5CDCB

The preceding examples use an explicit potential on projective space. On a closed factor, the mass bound from Stokes' theorem instead makes every threshold subsolution exact. This gives equations for arbitrary integrable densities on that factor, with no assumption that they are bounded below.

For this subsection let $(X_0,h_0)$ be any connected compact Hermitian manifold of dimension $m\geq 1$, and let $(Y,\kappa )$ be connected compact Kähler of dimension $k\geq 2$, normalized by $\int _ Y\kappa ^ k=1$. On $X=X_0\times Y$ put

\[ N=m+k,\qquad H=h_0+\kappa ,\qquad C=\binom Nm,\qquad V_0=\int _{X_0}h_0^ m,\qquad c_0=CV_0. \]

Forms and functions on the factors are pulled back when used on $X$. For any smooth positive probability volume form $\mathrm dV$ on $X$, put

\[ \mu =V_0^{-1}h_0^ m\wedge \kappa ^ k,\qquad R=\frac\mu {\mathrm dV},\qquad a=\min _ XR>0,\qquad A=\max _ XR. \]

Theorem 15.30.6.AB3D52EC73EF For every nonzero nonnegative $g\in L^1(Y,\kappa ^ k)$, with $M_ g=\int _ Yg\kappa ^ k$, one has

\[ b_ H(Rg)=\frac{c_0}{M_ g}. \]

There is $v\in \mathrm{PSH}(Y,\kappa )$ with $\sup _ Yv=0$ and $\int _ Y\mathrm{MA}^{\mathrm{ext}}_\kappa (v)=1$ whose pullback $u$ satisfies

\[ \mathrm{MA}^{\mathrm{ext}}_ H(u) =\frac{c_0}{M_ g}Rg\, \mathrm dV,\qquad \int _ X\mathrm{MA}^{\mathrm{ext}}_ H(u)=c_0. \]

If $v_-(h_0)=0$, then $v_-(H)=0$ and $H$ is not closed.

Proof. We first compute the scalars of bounded densities, then use the closed factor's mass bound to identify the equation for an unbounded density.

Step 1: bounded densities. If $g$ is bounded and nonzero, theorem 14.19.2 on $Y$ gives a bounded continuous $v$ with $\mathrm{MA}_\kappa (v)=c_\kappa (g)g\kappa ^ k$. Closed Stokes gives $c_\kappa (g)=1/M_ g$. The bounded product expansion gives

\[ \mathrm{MA}_ H(v)=C h_0^ m\wedge \mathrm{MA}_\kappa (v) =\frac{c_0}{M_ g}Rg\, \mathrm dV. \]

Uniqueness of the bounded normalization scalar therefore gives $c_ H(Rg)=c_0/M_ g$, including densities with zeros.

Step 2: the threshold. For general $g\in L^1$, the original truncations on $X$ satisfy

\[ R\min (g,j/A)\leq \min (Rg,j)\leq R\min (g,j/a). \]

By Step 1 and lemma 15.27.1,

\[ \frac{c_0}{\int _ Y\min (g,j/a)\kappa ^ k} \leq c_ H(\min (Rg,j)) \leq \frac{c_0}{\int _ Y\min (g,j/A)\kappa ^ k}. \]

Both bounds tend to $c_0/M_ g$.

Step 3: the exact equation. By proposition 15.28.7, $b_\kappa (g)=1/M_ g$. Thus theorem 15.28.4 on $Y$ gives $v\in \mathrm{PSH}(Y,\kappa )$ with supremum zero and

\[ \mathrm{MA}^{\mathrm{ext}}_\kappa (v)\geq (g/M_ g)\kappa ^ k. \]

For $v_ j=\max (v,-j)$, closed Stokes gives $\int _ Y\mathrm{MA}_\kappa (v_ j)=1$. The defining non-pluripolar truncations consequently give $\int _ Y\mathrm{MA}^{\mathrm{ext}}_\kappa (v)\leq 1$. The prescribed lower measure has mass one, so equality holds both in mass and in the measure inequality.

The pullback $u$ is $H$-plurisubharmonic, and $\max (u,-j)$ is the pullback of $v_ j$. Multiplying the bounded product expansion by the pullback of $\mathbf1_{\{ v>-j\} }$ and passing to the defining non-pluripolar limit gives

\[ \mathrm{MA}^{\mathrm{ext}}_ H(u) =C h_0^ m\wedge \mathrm{MA}^{\mathrm{ext}}_\kappa (v) =\frac{c_0}{M_ g}Rg\, \mathrm dV. \]

Its mass is $c_0$. Finally, when $v_-(h_0)=0$, pulling back bounded potentials from $X_0$ whose masses tend to zero proves $v_-(H)=0$ by the same expansion. Closedness of $h_0$ would contradict that vanishing by Stokes' theorem, so $H$ is not closed. $\square$

On the elliptic threefold of theorem 12.19.1, with the balanced metric of proposition 12.19.18, the product with $\mathbb P^2$ has $c_0=240\pi $. Thus every probability density from the projective factor has this threshold and a finite-mass threshold solution. The theorem concerns factor densities; it does not give an exact equation for an arbitrary density on $X$ or identify limits of normalized exponential solutions.

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