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15.36 Radial selection for integrable densitiesC10FB3AB7407

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The scalar and measure limits in corollary 15.35.3 do not by themselves determine a limit potential. For the sublogarithmic densities of lemma 15.30.1, the radial flux supplies the missing information. It also distinguishes convergence after subtracting the supremum from convergence after subtracting $\lambda ^{-1}\log b$, where $b$ is the critical scalar: the latter depends on a first moment of the limiting measure.

Use the product $X=X_0\times Y$, $Y=\mathbb P^ k$, $H=h_0+\kappa $, and the probability volume $\mu =V_0^{-1}h_0^ m\wedge \kappa ^ k$ of section 15.30, with $\dim X_0=m$, $v_-(h_0)=0$ and $k\geq 2$. Put $b=\binom NmV_0$, where $N=m+k$. For $0<\alpha <1$, let $U_{\lambda ,\alpha }$ be the greatest solution of

\[ \mathrm{MA}^{\mathrm{ext}}_ H(U_{\lambda ,\alpha }) =\mathrm e^{\lambda U_{\lambda ,\alpha }}q_\alpha \mu , \qquad \lambda >0. \]

The threshold of this forcing measure is $b>0$, by theorem 15.30.3, so the solutions exist by corollary 15.35.3.

15.36.1 Separation and the radial flux870F2FA3F30A

Lemma 15.36.2.91B8E02B5759 There is a $\kappa $-plurisubharmonic function $w_{\lambda ,\alpha }$ on $Y$ such that

\[ U_{\lambda ,\alpha }=\lambda ^{-1}\log b+w_{\lambda ,\alpha },\qquad w_{\lambda ,\alpha }\geq u_\alpha , \qquad \mathrm{MA}^{\mathrm{ext}}_\kappa (w_{\lambda ,\alpha }) =\mathrm e^{\lambda w_{\lambda ,\alpha }}q_\alpha \kappa ^ k. \]

The last measure has mass one. On the affine chart centered at $o$, set $s=\log |z|^2$, $\rho (s)=\log (1+\mathrm e^ s)$ and $m(s)=\rho '(s)$. The function $w=w_{\lambda ,\alpha }$ is radial and satisfies

C1A1056DFED6 15.36.3
\begin{equation} \begin{aligned} Q_{\lambda ,\alpha }(s) & =\int _{-\infty }^ s\mathrm e^{\lambda w(r)}q_\alpha (r)\, \mathrm d(m(r)^ k),\\ w'(s)& =Q_{\lambda ,\alpha }(s)^{1/k}-m(s), \qquad Q_{\lambda ,\alpha }(-\infty )=0, \quad Q_{\lambda ,\alpha }(+\infty )=1. \end{aligned} \end{equation}

Proof. Choose a smooth nondecreasing concave function $\chi $ on $[0,+\infty )$, equal to the identity on $[0,1]$ and constant on $[2,+\infty )$, and put $q_ j=j\chi (q_\alpha /j)$. Concavity gives $q_ j\uparrow q_\alpha $ and

\[ \min (q_\alpha ,j)\leq q_ j\leq \min (q_\alpha ,2j). \]

The functions $q_ j$ are smooth and positive on $Y$: near $o$ they are constant, and elsewhere the density is smooth. Let $w_ j$ be the continuous solution of $\mathrm{MA}_\kappa (w_ j)=\mathrm e^{\lambda w_ j}q_ j\kappa ^ k$ from theorem 14.19.3. It is the greatest subsolution by theorem 15.35.2 and bounded uniqueness. Since $u_\alpha \leq 0$ and $\mathrm{MA}^{\mathrm{ext}}_\kappa (u_\alpha )=q_\alpha \kappa ^ k$, it is a subsolution for every $q_ j$, whence $u_\alpha \leq w_ j$. Density comparison gives $w_ j\downarrow w$.

The pullback $W_ j=\lambda ^{-1}\log b+w_ j$ is a bounded solution on $X$, by the product expansion in theorem 15.30.3. For the smooth density $q_ j\mu $ it is therefore also the greatest subsolution. Every subsolution for $q_\alpha \mu $ is a subsolution for $q_ j\mu $, so $U_{\lambda ,\alpha }\leq W_ j$.

Monotone convergence in capacity and theorem 15.34.2 on $Y$ identify the equation for $w\geq u_\alpha $. Moreover, Stokes gives $\int _ Y\mathrm e^{\lambda w_ j}q_ j\kappa ^ k=1$. The integrands are dominated by $\mathrm e^{\lambda \sup _ Yw_1}q_\alpha $, so dominated convergence gives the same identity for $w$. Its pullback is a product solution, hence lies below the greatest solution on $X$. Together with $U_{\lambda ,\alpha }\leq \lim _ jW_ j$, this proves separation and all measure assertions.

Uniqueness makes each $w_ j$ invariant under the unitary action on the affine coordinates $z\in \mathbb C^ k$, and the limit has the same invariance. A radial $\kappa $-plurisubharmonic function has a convex nondecreasing profile $\rho +w$. Symmetric convolution of this convex profile on compact $s$ intervals, decreasing as the scale decreases, and bounded-product continuity give its radial measure $\mathrm d((\rho +w)'^ k)$, as in lemma 15.30.1. The bound $w\geq u_\alpha $, whose growth is $o(|s|)$ at $-\infty $, forces the initial derivative to vanish. The positive density makes the flux continuous and positive at finite $s$, yielding (15.36.3). Its final value is the mass one already proved. The profile is consequently smooth on finite $s$ intervals. $\square$

15.36.4 The normalized limitCE0514438603

Set

\[ a_{\lambda ,\alpha }=\sup _ Yw_{\lambda ,\alpha },\qquad v_{\lambda ,\alpha }=w_{\lambda ,\alpha }-a_{\lambda ,\alpha },\qquad c_{\lambda ,\alpha }=\mathrm e^{\lambda \sup _ XU_{\lambda ,\alpha }} =b\mathrm e^{\lambda a_{\lambda ,\alpha }}. \]

In particular $a_{\lambda ,\alpha }\geq 0$.

Theorem 15.36.5.AACA90B5B52B Let $\alpha _ j\to \alpha \in (0,1)$ and $\lambda _ j\to 0$ with $\lambda _ j>0$, at arbitrary relative rates. Then

\[ v_{\lambda _ j,\alpha _ j}\longrightarrow u_\alpha \quad \text{in }L^1(Y),\text{ in capacity, and locally uniformly on }Y\setminus \{ o\} . \]

Their pullbacks converge in $L^1(X)$, in capacity on $X$, and locally uniformly off $X_0\times \{ o\} $. Furthermore $q_{\alpha _ j}\to q_\alpha $ in $L^1(\kappa ^ k)$, $c_{\lambda _ j,\alpha _ j}\to b$, and the equation measures converge in total variation to $bq_\alpha \mu $. The limiting pullback has finite mass $b$ and belongs to $\mathcal E_{\mathrm{env}}(X,H,0)$.

Proof. Choose $[\alpha _-,\alpha _+]\Subset (0,1)$ containing all late parameters. The density formula in lemma 15.30.1 gives, uniformly for $\delta $ in this interval and $t=-s$ large,

\[ q_\delta (s)\leq C\mathrm e^{kt}(1+t)^{-1-k(1-\alpha _+)}. \]

Away from $o$ the densities are jointly smooth, including on the hyperplane at infinity. Thus one integrable density $g$ dominates all $q_\delta $, and dominated convergence gives $q_{\alpha _ j}\to q_\alpha $ in $L^1$.

For every normalized $\kappa $-plurisubharmonic $v$, theorem 5.25.2 gives $\int _ Y(-v)\kappa ^ k\leq C_ k$. Absolute continuity of the integral of $g$ therefore implies

\[ \sup _{\sup _ Yv=0}\int _{\{ v<-T\} }g\kappa ^ k\longrightarrow 0 \quad (T\to \infty ). \]

Taking $T=\lambda ^{-1/2}$ shows that

\[ \int _ Y(1-\mathrm e^{\lambda v})q_\delta \kappa ^ k \leq \lambda T+\int _{\{ v<-T\} }g\kappa ^ k\longrightarrow 0 \]

uniformly in $\delta $ and $v$. Write $v_ j=v_{\lambda _ j,\alpha _ j}$ and $a_ j=a_{\lambda _ j,\alpha _ j}$. The exact mass identity of the lemma is

FF104C305C42 15.36.6
\begin{equation} 1=\mathrm e^{\lambda _ ja_ j} \int _ Y\mathrm e^{\lambda _ jv_ j}q_{\alpha _ j}\kappa ^ k. \end{equation}

It gives $\mathrm e^{\lambda _ ja_ j}\to 1$, hence $\lambda _ ja_ j\to 0$. The actual densities $\mathrm e^{\lambda _ ja_ j}\mathrm e^{\lambda _ jv_ j}q_{\alpha _ j}$ converge in $L^1$ to $q_\alpha $ and are bounded by $2g$ for all late $j$.

Their cumulative radial fluxes $Q_ j$ consequently converge uniformly to the flux $Q_\alpha $ of $u_\alpha $. By (15.36.3), $v_ j'\to u_\alpha '$ uniformly on compact $s$ intervals. The normalized $L^1$ bound controls one value of each profile on a fixed annulus; thus every sequence has a subsequence converging uniformly on compact $s$ intervals to $u_\alpha +d$ for some finite constant $d$.

Near infinity the common bound for the densities is smooth and bounded. Hence $1-Q_ j(s)\leq C\mathrm e^{-s}$ and $|v_ j'(s)|\leq C\mathrm e^{-s}$ for large $s$. Integrating gives uniform convergence up to the hyperplane at infinity. At the other end, monotonicity of $\rho +v_ j$ gives, for $s<s_0$,

\[ v_ j(s)\leq v_ j(s_0)+\rho (s_0). \]

Choose $s_0$ so negative that the right side is negative for all late members of the subsequence. The supremum zero is then attained outside this inner ball. Uniform convergence on its compact complement gives $\sup _ Y(u_\alpha +d)=0$, so $d=0$. Normalized compactness identifies every $L^1$ cluster limit with $u_\alpha $; this proves convergence of the entire family and its local uniform convergence off $o$.

For capacity convergence, fix $T>0$. The sublevel $\{ u_\alpha <-T\} $ is a neighborhood of $o$, and its complement is a compact set on which convergence is uniform. Its capacity is at most $C/T$ by (5.29.4). Let $j\to \infty $ and then $T\to \infty $. The same argument on $X$ uses the normalized pullback of $u_\alpha $ and proves convergence in Hermitian capacity there; comparison sets omit pole sets. Pullback also preserves the $L^1$ and local uniform limits. The product expansion proves total-variation convergence of the measures, and theorem 15.30.3 supplies the exact limiting mass and envelope class. $\square$

15.36.7 Scalar centering and its moment boundaryC00DFB603383

Proposition 15.36.8.704167C1A830 The first moment

\[ M_\alpha =\int _ Yu_\alpha q_\alpha \kappa ^ k \]

is finite exactly when $\alpha <k/(k+1)$. In this range,

24634670B4B5 15.36.9
\begin{equation} -M_\alpha =\alpha \int _1^\infty x^{\alpha -1} \left[\alpha x^{\alpha -1}+(1-\alpha x^{\alpha -1})\mathrm e^{1-x}\right]^ k\, \mathrm dx. \end{equation}

For the joint limits of theorem 15.36.5, if $\alpha <k/(k+1)$, then

\[ a_{\lambda _ j,\alpha _ j}\to -M_\alpha ,\qquad U_{\lambda _ j,\alpha _ j}-\lambda _ j^{-1}\log b \to u_\alpha -M_\alpha \]

in $L^1$, in capacity, and locally uniformly away from the pole fiber. If $\alpha \geq k/(k+1)$, then $a_{\lambda _ j,\alpha _ j}\to +\infty $ and the latter translated potentials tend to $+\infty $ locally uniformly off the pole fiber, although $\lambda _ ja_{\lambda _ j,\alpha _ j}\to 0$. In both cases the exact scalar error is

\[ \lambda _ j^{-1}\log (c_{\lambda _ j,\alpha _ j}/b) =a_{\lambda _ j,\alpha _ j}. \]

Proof. As $t=-s\to \infty $, the radial profile of lemma 15.30.1 satisfies

\[ u_\alpha \sim -t^\alpha ,\qquad Q_\alpha '(s)\sim k(1-\alpha )\alpha ^ k t^{-1-k(1-\alpha )}. \]

Thus the first moment is finite precisely when $(k+1)\alpha <k$. In that case, write $x=1-\psi $. Its cumulative flux is

\[ Q_\alpha =\left[\alpha x^{\alpha -1} +(1-\alpha x^{\alpha -1})\mathrm e^{1-x}\right]^ k. \]

Integration by parts gives (15.36.9); the pole boundary term vanishes since $(k+1)\alpha -k<0$.

Suppose $\alpha <k/(k+1)$ and choose the parameter interval in the preceding proof with $\alpha _+<k/(k+1)$. Its dominating density $g$ satisfies $(-u_{\alpha _+})g\in L^1$. Write $w_ j=w_{\lambda _ j,\alpha _ j}=v_ j+a_ j$. Since $w_ j\geq u_{\alpha _ j}\geq u_{\alpha _+}$, the mass identity and $\mathrm e^ r\geq 1+r$ give $\int _ Yw_ jq_{\alpha _ j}\kappa ^ k\leq 0$. On a fixed annulus $A$ away from $o$, the normalized smooth-volume $L^1$ bound gives

\[ \int _ Aw_ jq_{\alpha _ j}\kappa ^ k \geq a_ j\int _ Aq_{\alpha _ j}\kappa ^ k-C. \]

On the complement, use $w_ j\geq u_{\alpha _+}$ and the integrable lower bound. The annulus has uniformly positive measure, so $0\leq a_ j\leq C_*$. Along any subsequence with $a_ j\to a$, local uniform convergence gives $w_ j\to u_\alpha +a$ off $o$. In the exact identity

\[ \int _ Y\frac{\mathrm e^{\lambda _ jw_ j}-1}{\lambda _ j} q_{\alpha _ j}\kappa ^ k=0, \]

the negative part is dominated by $(-u_{\alpha _+})g$ and the positive part by $C_*\mathrm e^{C_*}g$. Dominated convergence gives $M_\alpha +a=0$. Every subsequence therefore has the asserted scalar limit. Adding these convergent constants to the normalized potentials gives all three claimed topologies.

If $\alpha \geq k/(k+1)$, use instead

\[ \int _ Y\frac{1-\mathrm e^{\lambda _ jv_ j}}{\lambda _ j} q_{\alpha _ j}\kappa ^ k =\frac{1-\mathrm e^{-\lambda _ ja_ j}}{\lambda _ j}\leq a_ j. \]

The integrands are nonnegative and tend off $o$ to $(-u_\alpha )q_\alpha $. Fatou's lemma forces $a_ j\to +\infty $. The preceding theorem gives $\lambda _ ja_ j\to 0$; local uniform convergence of $v_ j$ gives the stated divergence of $w_ j$. This includes sequences approaching the moment boundary from below. $\square$

For the elliptic fivefold of corollary 15.30.4, $b=240\pi $ and the moment boundary is $\alpha =2/3$. The choice $\alpha =1/2$ has a finite centering constant. For $2/3\leq \alpha <1$, the supremum-normalized family still converges to the exact threshold solution, while its scalar-centered version diverges off the pole fiber. Thus convergence of the normalization scalars alone does not give a bounded first-order scalar error.

15.36.10 Order in the separated classA874D9C61D74

We use here the closed-class uniqueness theorem: on a compact connected Kähler manifold, two potentials whose non-pluripolar measures have full mass and are equal differ by a constant. This is an external input; its source is identified in 25.13.

Corollary 15.36.11.E75339160354 Every separated threshold subsolution $r=r(y)$ with $r\in \mathrm{PSH}(Y,\kappa )$ and $\mathrm{MA}^{\mathrm{ext}}_ H(r)\geq bq_\alpha \mu $ equals $u_\alpha +d$ for some constant $d$. In particular $u_\alpha $ is its unique supremum-zero member. If $\alpha <k/(k+1)$, then $u_\alpha -M_\alpha $ is the greatest such subsolution whose $q_\alpha $-mean on $Y$ is nonpositive.

Proof. The product formula reduces the inequality to $\mathrm{MA}^{\mathrm{ext}}_\kappa (r)\geq q_\alpha \kappa ^ k$. Closed Stokes gives each bounded truncation mass one, so the extended measure of $r$ has mass at most one. The inequality therefore gives equality and full mass. Closed-class uniqueness yields $r=u_\alpha +d$. In the finite-moment range its mean is $M_\alpha +d$, which is nonpositive exactly when $d\leq -M_\alpha $. $\square$

At and beyond the moment boundary every constant translate has mean $-\infty $, so that mean condition no longer chooses a greatest translate. The order assertion concerns separated potentials. Selection for arbitrary integrable densities and uniqueness of arbitrary critical potentials on the nonclosed product remain the questions of 24.2.2 and section 15.34.

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