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11.44.7 Norming probabilities and integral boundsB51F7B7B7005

Set $a=f^{1/n}\in L^\ell (\mathrm{d}V)$ and $A=N(a)=c^{-1/n}$. The probabilities in (11.44.1) come from positive linear functionals that norm $N$ at $a$, that is, functionals dominated by $N$ and equal to $N(a)$ at $a$. This representation will control integrals of unbounded potentials as well as bounded logarithmic perturbations.

With $\ell '=\ell /(\ell -1)$, define

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\begin{equation} \mathcal H_ a=\left\{ \eta \in L^{\ell '}(\mathrm{d}V): \eta \geq 0,\ \int _ Xa\eta \, \mathrm{d}V=A, \int _ Xb\eta \, \mathrm{d}V\leq N(b)\text{ for every }b\in L^\ell \right\} . \end{equation}

Proposition 11.44.9.AD91D203DE64 The set $\mathcal H_ a$ is nonempty and weakly compact in $L^{\ell '}$. The function $\kappa $ of (11.44.1) is given by

\[ \kappa (r)=n\log \frac{N(a\mathrm{e}^{r/n})}{A}, \]

and it is convex, increasing and $1$-Lipschitz for the uniform norm on $C(X)$, with $\kappa (0)=0$ and $\kappa (r+b)=\kappa (r)+b$ for constants $b$. Its subdifferential at zero is

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\begin{equation} \mathcal P_ f=\{ \nu _\eta :\eta \in \mathcal H_ a\} ,\qquad \mathrm{d}\nu _\eta =A^{-1}a\eta \, \mathrm{d}V. \end{equation}

If $z$ is measurable and $az\in L^\ell $, then

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\begin{equation} \sup _{\nu \in \mathcal P_ f}\int _ X|z|\, \mathrm{d}\nu \leq C_ q A^{-1}\| az\| _\ell . \end{equation}

If also $a\mathrm{e}^{tz/n}\in L^\ell $ and $N(a\mathrm{e}^{tz/n})=A$ for some $t>0$, then $\int _ Xz\, \mathrm{d}\nu \leq 0$ for every $\nu \in \mathcal P_ f$.

Proof. The formula for $\kappa $ follows from $N(a\mathrm{e}^{r/n})=c(\mathrm{e}^ rf)^{-1/n}$. The Hahn–Banach theorem gives a linear functional that norms $N$ at $a$. By (11.44.6) it is continuous on $L^\ell $, and hence is represented by some $\eta _0\in L^{\ell '}$. For $b\geq 0$, testing on $\operatorname {sgn}(\eta _0)b$ gives

\[ \int _ Xb|\eta _0|\, \mathrm{d}V\leq N(b). \]

Since $a\geq 0$ and $\int _ Xa\eta _0\, \mathrm{d}V=A=N(a)$, the same equality holds with $|\eta _0|$ in place of $\eta _0$. Monotonicity of $N$ extends the domination to real $b$, so $|\eta _0|\in \mathcal H_ a$. The defining conditions of $\mathcal H_ a$ are weakly closed and give $\| \eta \| _{\ell '}\leq C_ q$, so reflexivity proves weak compactness.

For nonzero nonnegative $b_0,b_1$, the weighted arithmetic–geometric mean inequality applied to $b_ j/N(b_ j)$, together with monotonicity and the triangle inequality, gives

\[ N(b_0^{1-t}b_1^ t)\leq N(b_0)^{1-t}N(b_1)^ t,\qquad 0\leq t\leq 1. \]

Taking $b_ j=a\mathrm{e}^{r_ j/n}$ proves convexity of $\kappa $. Monotonicity and the translation rule follow from the corresponding properties of $N$, and together they imply the Lipschitz bound.

Every $\nu _\eta $ is a probability and satisfies

\[ \frac{N(a\mathrm{e}^{r/n})}{A} \geq \int _ X\mathrm{e}^{r/n}\, \mathrm{d}\nu _\eta . \]

Jensen's inequality gives $\kappa (r)\geq \int _ Xr\, \mathrm{d}\nu _\eta $, which proves one inclusion in (11.44.10). The map $\eta \mapsto \nu _\eta $ is weakly continuous, since $ar\in L^\ell $ for $r\in C(X)$.

Conversely, let $\nu \in \mathcal P_ f$ and put $L(r)=\int _ Xr\, \mathrm{d}\nu $. Differentiating the curve $t\mapsto a\mathrm{e}^{tr/n}$ in $L^\ell $ at $t=0$ gives

\[ N(a\mathrm{e}^{tr/n}) =N(a)+\frac{t}{n}N'_+(a;ar)+o(t),\qquad t\downarrow 0. \]

Here the one-sided derivative $N'_+(a;\cdot )$ of the continuous convex function $N$ exists, and the error estimate follows from its Lipschitz bound. The inequality $L\leq \kappa $, applied to $tr$ and $-tr$, therefore gives

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\begin{equation} |A L(r)|\leq C_ q\| ar\| _\ell ,\qquad A L(r)\leq N'_+(a;ar)\leq N(a+ar)-A. \end{equation}

Thus $T(ar)=A L(r)$ defines a continuous linear functional on the space of products $ar$, $r\in C(X)$. These products are dense in

\[ S_ a=\{ b\in L^\ell :b=0\text{ almost everywhere on }\{ a=0\} \} : \]

indeed, it suffices to approximate $b/a$ in $L^\ell (a^\ell \mathrm{d}V)$ by continuous functions. If $ar\geq 0$, then $ar=ar_+$ almost everywhere, and the first inequality in (11.44.12) gives $L(r-r_+)=0$, so $T(ar)\geq 0$. Approximating nonnegative elements of $S_ a$ by products $ar$ with $r\geq 0$ continuous shows that the continuous extension of $T$ to $S_ a$ is positive.

Represent this extension by some $\eta \geq 0$ in $L^{\ell '}$ vanishing on $\{ a=0\} $. Since $T(a)=A$, extending the second inequality in (11.44.12) to $S_ a$ and applying it to $b-a$ gives $T(b)\leq N(b)$ for $b\in S_ a$. For general $b\in L^\ell $,

\[ \int _ Xb\eta \, \mathrm{d}V \leq N(b\mathbf1_{\{ a>0\} })\leq N(b). \]

Thus $\eta \in \mathcal H_ a$, and $\nu _\eta $ agrees with $\nu $ on all continuous functions. This proves the representation (11.44.10), and weak compactness of $\mathcal P_ f$ follows from that of $\mathcal H_ a$.

The bound (11.44.11) follows from Hölder's inequality and $\| \eta \| _{\ell '}\leq C_ q$. Under the last hypothesis, the norming inequality gives $\int _ X\mathrm{e}^{tz/n}\, \mathrm{d}\nu \leq 1$. Since $z$ is $\nu $-integrable by (11.44.11), Jensen's inequality implies $\int _ Xz\, \mathrm{d}\nu \leq 0$. $\square$

These estimates apply uniformly to all $v\in \mathrm{PSH}(X,\theta )$ with $\sup _ Xv=0$. Indeed, lemma 5.26.2, applied in a Hermitian background larger than $\theta $, gives uniform bounds for all finite moments of $|v|$, and Hölder's inequality gives

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\begin{equation} \int _ X |v|^{nq} f^ q\, \mathrm{d}V \leq \| f\| _ p^ q \left(\int _ X|v|^{nqp/(p-q)}\, \mathrm{d}V\right)^{(p-q)/p}. \end{equation}

Consequently, (11.44.11) gives a uniform bound for $\int _ X|v|\, \mathrm{d}\nu $ over all such $v$ and all $\nu \in \mathcal P_ f$; constant translates of such $v$ are integrable as well. The representation also shows that these probabilities charge neither $\{ f=0\} $ nor $X\setminus \Omega $.

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