Pome

4.2.9 Green energy and compact reduction27012C9B879C

This section prepares balayage: the Green energy is a positive definite quadratic form on signed measures of finite energy (proposition 4.2.11), and a regularized reduction on a compact set is the Green potential of a measure carried by that set (theorem 4.2.14).

Fix an open ball $B\subset \mathbb R^ d$ and let $G_ B$ be its Green function (theorem 3.1.34); it is nonnegative and symmetric (lemma 4.1.14). The results of section 4.1 about balls are stated for balls centered at the origin; we apply them to $B$ after a translation. In this section and the next, unless signed measures are explicitly mentioned, a measure means a finite positive Borel measure with compact support in $B$. Recall from subsection 4.1.13 that the Green potential of a measure $\mu $ is $G_ B\mu (x)=\int G_ B(x,y)\, \mathrm d\mu (y)$. We denote the mutual Green energy of measures $\mu $ and $\nu $ and the Green energy of $\mu $ (subsection 4.1.28) by

\[ I_ B(\mu ,\nu )=\iint G_ B(x,y)\, \mathrm d\mu (x)\, \mathrm d\nu (y),\qquad I_ B(\mu )=I_ B(\mu ,\mu ). \]

By lemma 4.1.14, $G_ B(x,y)-\Gamma _ d(x-y)$ is continuous on $B\times B$, so $G_ B$ is a continuous function on $B\times B$ with values in $[0,\infty ]$, and these integrals are defined in $[0,\infty ]$ by Tonelli's theorem. For finite signed measures we use the same formulas whenever $G_ B$ is integrable for the product of the total variations.

Let $\mu $ be supported in a compact set $K\subset B$. By the definition of $G_ B$ in theorem 3.1.34 and by theorem 3.1.18, the harmonic correction $G_ B(x,y)-\Gamma _ d(x-y)=-H_ B(\Gamma _ d(\cdot -x)|_{\partial B})(y)$ has absolute value at most $\max _{\zeta \in \partial B}|\Gamma _ d(\zeta -x)|$, which is bounded for $x\in K$ because $K$ has positive distance from $\partial B$. Hence, on $K\times K$, the Green function differs by a bounded function from the kernel $k$ of subsection 4.1.1 if $d\geq 3$, and from the kernel $k_ D$ with $D>\operatorname {diam}K$ if $d=2$, because $k(x,y)=\Gamma _ d(x-y)$ and $k_ D(x,y)-\Gamma _2(x-y)$ is constant. Consequently $\mu $ has finite Green energy if and only if it has finite energy in the sense of subsection 4.1.1. In particular, by theorem 4.1.17, a measure $\mu $ of finite Green energy does not charge polar sets: every polar set is contained in a Borel set of $\mu $-measure zero.

Definition 4.2.10.CD643C4C40FF A property holds quasi-everywhere on a set $E\subset \mathbb R^ d$ if it holds at every point of $E$ outside a polar set.

Thus a property that holds quasi-everywhere on a compact set $K\subset B$ holds $\mu $-almost everywhere for every measure $\mu $ on $K$ with finite Green energy. In 2 the exceptional sets are pluripolar, and quasi-everywhere will mean outside a pluripolar set (definition 5.47.2).

Proposition 4.2.11.2BC493B5F349 Let $\mu $ and $\nu $ be measures with finite Green energy. Then the distributional gradients $\nabla G_ B\mu $ and $\nabla G_ B\nu $ belong to $L^2(B)$, the mutual energy $I_ B(\mu ,\nu )$ is finite, and

\[ I_ B(\mu ,\nu )=\int _ B\nabla G_ B\mu \mathbin {\cdot }\nabla G_ B\nu \, \mathrm d x. \]

The same identity holds for finite signed measures whose positive and negative parts have finite Green energy. On such signed measures, $I_ B$ is a positive definite quadratic form, that is, $I_ B(\sigma )\geq 0$ with equality only for $\sigma =0$, and it satisfies the Cauchy–Schwarz inequality $I_ B(\sigma ,\tau )^2\leq I_ B(\sigma )I_ B(\tau )$. Moreover, every measure $\mu $ with finite Green energy is the sum of its restrictions $\mu ^{(1)},\mu ^{(2)},\ldots $ to countably many pairwise disjoint compact sets, and for every $n$ the Green potential of $\mu ^{(1)}+\cdots +\mu ^{(n)}$ is finite, continuous and bounded on $B$.

Proof. We first prove the gradient identity for the partial sums of a decomposition of $\mu $ and $\nu $ into pieces with bounded Green potentials, to which proposition 4.1.29 applies, and then pass to the limit. Translating, we may assume that $B=B(0,R)$ for some $R>0$, and we choose $r<R$ such that the supports of $\mu $ and $\nu $ lie in $B(0,r)$. By lemma 4.1.14, the function $\kappa (x,y)=G_ B(x,y)-\Gamma _ d(x-y)$ extends to a continuous function on the compact set $\overline B\times \overline{B(0,r)}$; let $C$ be a bound for $|\kappa |$ there. Since $\Gamma _ d=-E_ d$, every finite positive measure $\lambda $ supported in $B(0,r)$ satisfies

\[ G_ B\lambda (x)=-E_ d*\lambda (x)+\int \kappa (x,y)\, \mathrm d\lambda (y),\qquad x\in B, \]

and the last integral is a continuous function of $x\in \overline B$ bounded by $C\lambda (B)$.

Step 1: decomposition. Since $\int G_ B\mu \, \mathrm d\mu =I_ B(\mu )<\infty $, the Green potential $G_ B\mu $ is finite $\mu $-almost everywhere, and by the display so is $E_ d*\mu $. By part (2) of theorem 4.1.10, $\mu $ is therefore the sum of its restrictions to countably many disjoint compact sets, each of which has a finite and continuous fundamental potential. Let $\mu _ n$ be the sum of the first $n$ of these restrictions. Since $E_ d*\mu _ n$ is finite and continuous, the display shows that $G_ B\mu _ n$ is finite, continuous and bounded on $B$; this proves the last assertion of the proposition. By part (2) of proposition 4.1.16, $-G_ B\mu _ n$ is a subharmonic function on $B$ with Riesz measure $\mu _ n$, which extends harmonically across $\partial B$ and vanishes on $\partial B$; in particular, it tends to zero at $\partial B$. Thus proposition 4.1.29 applies to the functions $-G_ B\mu _ n$, $n\geq 1$. Hence $\nabla G_ B\mu _ n\in L^2(B)$ and

\[ \int _ B\nabla G_ B\mu _ n\mathbin {\cdot }\nabla G_ B\mu _ m\, \mathrm d x=I_ B(\mu _ n,\mu _ m). \]

Step 2: the gradient of $G_ B\mu $. For $m>n$, expanding the square with the last display gives

\[ \| \nabla G_ B\mu _ m-\nabla G_ B\mu _ n\| _{L^2(B)}^2=I_ B(\mu _ m-\mu _ n)\leq I_ B(\mu -\mu _ n), \]

where the inequality holds because $0\leq \mu _ m-\mu _ n\leq \mu -\mu _ n$ and $G_ B\geq 0$. The measure $\mu -\mu _ n$ is the restriction of $\mu $ to a decreasing sequence of sets whose intersection is $\mu $-null. Since $G_ B$ is nonnegative and integrable for $\mu \otimes \mu $, dominated convergence gives $I_ B(\mu -\mu _ n)\to 0$. Thus $(\nabla G_ B\mu _ n)$ is a Cauchy sequence in $L^2(B)$; let $g$ be its limit.

On the other hand, $G_ B\mu _ n\uparrow G_ B\mu $ pointwise by monotone convergence, and $G_ B\mu \in L^1(B)$. Indeed, for $y\in \operatorname{Supp}\mu $, the bound $|\kappa |\leq C$ and the local integrability of $\Gamma _ d$ (proposition 3.1.13) give

\[ \int _ BG_ B(x,y)\, \mathrm d x\leq \int _ B\bigl (|\Gamma _ d(x-y)|+C\bigr )\, \mathrm d x\leq \int _{B(0,2R)}|\Gamma _ d(z)|\, \mathrm d z+C|B|<\infty , \]

and integrating against $\mu $, by Tonelli's theorem, shows that $\int _ BG_ B\mu \, \mathrm d x$ is at most $\mu (B)$ times the right side. Hence $G_ B\mu _ n\to G_ B\mu $ in $L^1(B)$ by monotone convergence. For a smooth compactly supported vector field $\varphi $ on $B$ we obtain

\[ \int _ Bg\mathbin {\cdot }\varphi \, \mathrm d x=\lim _ n\int _ B\nabla G_ B\mu _ n\mathbin {\cdot }\varphi \, \mathrm d x=-\lim _ n\int _ BG_ B\mu _ n\operatorname {div}\varphi \, \mathrm d x=-\int _ BG_ B\mu \operatorname {div}\varphi \, \mathrm d x, \]

so $g=\nabla G_ B\mu $. Since $\| \nabla G_ B\mu _ n\| _2^2=I_ B(\mu _ n)\uparrow I_ B(\mu )$ by monotone convergence, we get $\| \nabla G_ B\mu \| _2^2=I_ B(\mu )$.

Step 3: the mutual energy. Construct the partial sums $\nu _ n$ of $\nu $ in the same way. By proposition 4.1.29 and the Cauchy–Schwarz inequality in $L^2(B)$,

\[ I_ B(\mu _ n,\nu _ n)=\int _ B\nabla G_ B\mu _ n\mathbin {\cdot }\nabla G_ B\nu _ n\, \mathrm d x\leq I_ B(\mu _ n)^{1/2}I_ B(\nu _ n)^{1/2}\leq I_ B(\mu )^{1/2}I_ B(\nu )^{1/2}. \]

As $n\to \infty $, the left side increases to $I_ B(\mu ,\nu )$ by monotone convergence, so the mutual energy is finite, while the integral converges to $\int _ B\nabla G_ B\mu \mathbin {\cdot }\nabla G_ B\nu \, \mathrm d x$ by convergence in $L^2(B)$. This proves the identity for positive measures. For signed measures, we expand both sides bilinearly in the positive and negative parts.

Step 4: positive definiteness. Let $\sigma $ be a signed measure as in the statement, and put $G_ B\sigma =G_ B\sigma ^+-G_ B\sigma ^-$, a function in $L^1(B)$ by Step 2. Then $I_ B(\sigma )=\| \nabla G_ B\sigma \| _2^2\geq 0$. Suppose that $I_ B(\sigma )=0$, so that $\nabla G_ B\sigma =0$ as a distribution on $B$. Since $B$ is connected, corollary 2.5.5 shows that the distribution defined by $G_ B\sigma $ is a constant. On the other hand, $-\Delta G_ B\sigma =\sigma $ in the sense of distributions, by part (2) of proposition 4.1.16. Hence $\sigma ^+$ and $\sigma ^-$, which are Radon measures by proposition 2.2.2, define the same distribution, so $\sigma ^+=\sigma ^-$ by part (4) of proposition 2.5.3, that is, $\sigma =0$. Finally, the Cauchy–Schwarz inequality for $I_ B$ follows from the gradient identity and the Cauchy–Schwarz inequality in $L^2(B)$. $\square$

Recall from subsection 4.1.13 the relative extremal function $u_ K$ of a compact set $K\subset B$, its Riesz measure $\lambda _ K=\Delta u_ K$, the relative capacity $C_ B(K)=\lambda _ K(K)$, and the outer capacity $C_ B^*$.

Proposition 4.2.12.AF6AC1F168D7 Let $K\subset B$ be compact. Then

\[ C_ B(K)=\left(\inf _{\substack {\tau \geq 0,\ \operatorname{Supp}\tau \subset K\\ \tau (K)=1}} I_ B(\tau )\right)^{-1}, \]

with the conventions that the infimum of an empty family is $+\infty $ and that $1/(+\infty )=0$. If $C_ B(K)>0$, then $\lambda _ K/C_ B(K)$ is the unique probability measure on $K$ minimizing $I_ B$. Moreover, if $D\subset B$ are open balls and $A\Subset D$, then $C_ B^*(A)\leq C_ D^*(A)$.

Proof. By part (3) of proposition 4.1.16, the function $w_ K=-u_ K$ is the Green potential $G_ B\lambda _ K$, and $0\leq w_ K\leq 1$ because $-1\leq u_ K\leq 0$. Since $u_ K$ is the upper semicontinuous regularization of the envelope $f_ K$, which equals $-1$ on $K$, part (2) of theorem 4.1.26 shows that $w_ K=1$ quasi-everywhere on $K$. In particular $I_ B(\lambda _ K)=\int w_ K\, \mathrm d\lambda _ K\leq \lambda _ K(K)$, so $\lambda _ K$ has finite Green energy. As measures of finite Green energy do not charge polar sets, we obtain, with $m=C_ B(K)$,

\[ I_ B(\lambda _ K)=\int _ Kw_ K\, \mathrm d\lambda _ K=m,\qquad I_ B(\lambda _ K,\tau )=\int _ Kw_ K\, \mathrm d\tau =1 \]

for every probability measure $\tau $ on $K$ with finite Green energy; in the second identity we used the symmetry of $G_ B$.

Suppose that $m>0$, and let $\tau $ be a probability measure on $K$. If $I_ B(\tau )<\infty $, the Cauchy–Schwarz inequality of proposition 4.2.11 gives $1=I_ B(\lambda _ K,\tau )^2\leq mI_ B(\tau )$; thus $I_ B(\tau )\geq 1/m$ in all cases. Equality holds for $\tau =\lambda _ K/m$, whose energy is $m/m^2=1/m$. Hence the infimum equals $1/m$, which proves the formula. If $\tau _1\neq \tau _2$ were two minimizers, their midpoint would again be a probability measure on $K$, and by positive definiteness

\[ I_ B\Bigl (\frac{\tau _1+\tau _2}{2}\Bigr )=\frac{I_ B(\tau _1)+I_ B(\tau _2)}{2}-\frac{I_ B(\tau _1-\tau _2)}{4}<\frac1m, \]

a contradiction. Suppose next that $m=0$. Then $K$ is polar by theorem 4.1.17, so it carries no probability measure of finite energy, and the infimum is $+\infty $ (if $K=\varnothing $, the family is empty).

For the last assertion, recall that balls are regular domains (theorem 3.1.29). The monotonicity of Green functions in the domain (theorem 3.1.34) gives $G_ D\leq G_ B$ on $D\times D$. Hence $I_ B(\tau )\geq I_ D(\tau )$ for every measure $\tau $ supported on a compact set $K\subset D$, and the variational formula, applied in $B$ and in $D$, gives $C_ B(K)\leq C_ D(K)$. Taking suprema over compact subsets, we obtain $C_ B(O)\leq C_ D(O)$ for every open $O\Subset D$. Every such $O$ containing $A$ is also allowed in the infimum defining $C_ B^*(A)$, so $C_ B^*(A)\leq C_ D^*(A)$. $\square$

We now turn to reduction. Let $U$ be an open set, $s$ a nonnegative superharmonic function on $U$, and $A\subset U$ an arbitrary subset. The reduction of $s$ on $A$, also called the réduite, and the regularized reduction are

\[ R_ s^ A=\inf \{ h:h\geq 0\text{ is superharmonic on }U,\ h\geq s\text{ on }A\} , \qquad \widehat R_ s^ A=(R_ s^ A)_*. \]

Here $F_*=-(-F)^*$, with $(-F)^*$ the upper semicontinuous regularization of subsection 3.4.21, is the lower semicontinuous regularization of a function $F$ that is locally bounded below; explicitly, $F_*(x)=\sup _{r>0}\inf _{B(x,r)\cap U}F$. We call the functions $h$ in this infimum admissible for $R_ s^ A$; the inequality $h\geq s$ is required at every point of $A$. If $U=B$, $s=1$ and $A\Subset B$, the admissible functions are exactly the negatives of the functions admissible for $A$ in the sense of subsection 4.1.13, so that $R_1^ A=-f_ A$ and $\widehat R_1^ A=-u_ A$.

Since $s$ itself is admissible, $0\leq R_ s^ A\leq s$, and $R_ s^ A=s$ on all of $A$. The negatives of the admissible functions form a family of subharmonic functions bounded above by zero, whose supremum is $-R_ s^ A$. Since $(-R_ s^ A)^*=-\widehat R_ s^ A$, theorem 3.4.23 shows that $\widehat R_ s^ A$ is superharmonic, and part (2) of theorem 4.1.26 shows that $R_ s^ A=\widehat R_ s^ A$ outside a polar set. Thus $\widehat R_ s^ A=s$ quasi-everywhere on $A$, though in general not everywhere on $A$: if $U$ is bounded, $s=1$ and $A\subset U$ is a nonempty polar set, then $\widehat R_ s^ A=0$ by proposition 4.2.13 below.

The ball-average formula (3.4.13) holds for every subharmonic function, integrable or not. Applied to $-w$, it shows that every superharmonic function $w$ on an open set satisfies

\[ w(x)=\lim _{r\downarrow 0}\frac{1}{|B(x,r)|}\int _{B(x,r)}w(y)\, \mathrm d y \]

at every point $x$ of that set. Consequently, two superharmonic functions satisfying an inequality almost everywhere satisfy it everywhere.

Proposition 4.2.13.A13D01405A7F Let $s$ and $t$ be nonnegative superharmonic functions on an open set $U$, let $A\subset A'\subset U$, and let $c\geq 0$. Then

\[ R_ s^ A\leq R_ s^{A'},\qquad R_{cs}^ A=cR_ s^ A,\qquad R_{s+t}^ A\leq R_ s^ A+R_ t^ A, \]

and $R_ s^ A\leq R_ t^ A$ if $s\leq t$. The same relations hold for the regularized reductions; in particular,

\[ \widehat R_{s+t}^ A\leq \widehat R_ s^ A+\widehat R_ t^ A. \]

If $U$ is bounded and $A$ is polar, then there is a locally integrable nonnegative superharmonic function $p$ on $U$ with $p=+\infty $ on $A$, and $\widehat R_ s^ A=0$.

Proof. Enlarging $A$ or $s$ shrinks the class of admissible functions, which proves the two monotonicity assertions. For $c>0$, multiplication by $c$ is a bijection between the admissible functions for $s$ and those for $cs$; for $c=0$, both sides vanish (with $0\cdot \infty =0$), since the zero function is admissible. If $h_1$ and $h_2$ are admissible for $s$ and $t$ respectively, then $h_1+h_2$ is admissible for $s+t$, so $R_{s+t}^ A\leq R_ s^ A+R_ t^ A$. Monotonicity and homogeneity are preserved by lower semicontinuous regularization. For subadditivity, recall that each reduction agrees with its regularization outside a polar set, hence almost everywhere. Therefore $\widehat R_{s+t}^ A\leq \widehat R_ s^ A+\widehat R_ t^ A$ almost everywhere. Both sides are superharmonic, so the inequality holds everywhere by the ball-average formula above.

Now let $U$ be bounded and $A$ polar. Then $A$ has compact closure, so proposition 4.1.11 provides a finite positive measure $\nu $ of compact support with $E_ d*\nu =-\infty $ on $A$. The kernel $E_ d$ is bounded above on the bounded set of differences $x-y$ with $x\in U$ and $y\in \operatorname{Supp}\nu $, so adding a constant to $-E_ d*\nu $ gives a nonnegative superharmonic function $p$ on $U$ with $p=+\infty $ on $A$; by proposition 3.4.11, $p$ is locally integrable. For every $\varepsilon >0$, the function $\varepsilon p$ is admissible, even at points of $A$ where $s=+\infty $. Hence $R_ s^ A\leq \varepsilon p$ for every $\varepsilon >0$, and so $R_ s^ A=0$ on the set $\{ p<\infty \} $. This set has full Lebesgue measure, because $p$ is locally integrable, and is therefore dense in $U$. Consequently $\widehat R_ s^ A=0$. $\square$

Theorem 4.2.14.97A5DA659CA1 Let $A\subset B$ be compact, and let $s$ be a nonnegative superharmonic function on $B$ which is bounded on $A$. Then $r=\widehat R_ s^ A$ is bounded, harmonic on $B\setminus A$, and tends to zero at $\partial B$. Moreover, there is a finite positive measure $\nu $ supported on $A$, with finite Green energy, such that

\[ r=G_ B\nu \quad \text{on }B,\qquad r=s\quad \text{quasi-everywhere on }A. \]

Proof. We show that $r$ is harmonic off $A$ by replacing admissible functions with their Poisson integrals on balls in $B\setminus A$ (Steps 1–3), and then identify $r$ with the Green potential of its Riesz measure (Step 4).

Step 1: capped admissible functions. Choose a closed ball $L\subset B$ whose interior contains $A$, and a constant $M\geq 0$ with $s\leq M$ on $A$. The relative extremal function $u_ L$ takes values in $[-1,0]$ and tends to zero at $\partial B$ by part (1) of proposition 4.1.16; it equals $-1$ on $\operatorname{Int}L$, because it is the upper semicontinuous regularization of the envelope $f_ L$, which equals $-1$ on $L$. Hence $h_0=-Mu_ L$ is a nonnegative superharmonic function on $B$, bounded by $M$, which majorizes $s$ on $A$ and tends to zero at $\partial B$. If $h$ is admissible, so is $\min \{ h,h_0\} $. Therefore $R_ s^ A$ is also the infimum of the admissible functions $h$ with $h\leq h_0$; we call these capped. In particular $0\leq r\leq R_ s^ A\leq h_0\leq M$, so $r$ is bounded and tends to zero at $\partial B$.

Step 2: Poisson modification. Let $D$ be an open ball with $\overline D\subset B\setminus A$, and let $h$ be a capped admissible function. Its restriction to $\partial D$ is bounded and lower semicontinuous, so by lemma 3.4.4, applied to $-h$, it is the increasing limit of continuous functions $g_ k$ on $\partial D$. By monotone convergence, the Poisson integrals $H_ Dg_ k$ of theorem 3.1.18 increase to

\[ H(y)=\int _{\partial D}P_ D(y,\zeta )h(\zeta )\, \mathrm d S(\zeta ),\qquad y\in D. \]

Since $0\leq h\leq M$ and the Poisson kernel has integral one, $0\leq H\leq M$, and $H$ is harmonic by part (2) of corollary 3.1.21. For $\zeta \in \partial D$, lower semicontinuity gives $\varliminf _{y\to \zeta }h(y)\geq h(\zeta )\geq g_ k(\zeta )$, so the comparison principle for the superharmonic function $h$ (theorem 3.4.5) gives $H_ Dg_ k\leq h$ on $D$; hence $H\leq h$ on $D$. On the other hand, $H\geq H_ Dg_ k$, and $H_ Dg_ k$ extends continuously to $\overline D$ with boundary values $g_ k$; letting $k\to \infty $, we get

\[ \varliminf _{D\ni y\to \zeta }H(y)\geq h(\zeta ),\qquad \zeta \in \partial D. \]

Define $h^ D=H$ on $D$ and $h^ D=h$ on $B\setminus D$. The last inequality and the lower semicontinuity of $h$ show that $h^ D$ is lower semicontinuous, and $0\leq h^ D\leq h$.

We check that $h^ D$ is superharmonic, using the converse part of theorem 3.4.5. Let $E$ be a ball with $\overline E\subset B$, and let $q$ be harmonic on $E$ and continuous on $\overline E$ with $\varliminf _{E\ni y\to \zeta }h^ D(y)\geq q(\zeta )$ for $\zeta \in \partial E$. Since $h\geq h^ D$, the function $h$ satisfies the same boundary inequality, so $h\geq q$ on $E$. In particular $h^ D=h\geq q$ on $E\setminus D$. On the open set $E\cap D$ consider the harmonic function $H-q$. At boundary points of $E\cap D$ lying on $\partial E$, its lower limits are nonnegative by the hypothesis on $q$. At boundary points $\zeta \in E\cap \partial D$, they are at least $h(\zeta )-q(\zeta )\geq 0$ by the inequality displayed above. The minimum principle (proposition 3.1.10) gives $H\geq q$ on $E\cap D$. Hence $h^ D\geq q$ on $E$, and $h^ D$ is superharmonic. Since $D\cap A=\varnothing $, the function $h^ D$ is again a capped admissible function. Finally, $h^ D$ depends monotonically on $h$, by the integral formula for $H$.

Step 3: harmonicity off $A$. By Choquet's lemma (lemma 3.4.22), applied to the negatives of the capped admissible functions, there is a sequence of capped admissible functions whose infimum has the same lower semicontinuous regularization $r$ as $R_ s^ A$. By theorem 3.4.23, applied to the negatives of this sequence, the infimum equals $r$ almost everywhere. Replacing the functions of the sequence by their successive minima, we obtain a decreasing sequence $(h_ j)$ of capped admissible functions whose limit equals $r$ almost everywhere.

Now fix a ball $D$ as in Step 2. On $D$, the modified functions $h_ j^ D$ are harmonic, decrease, and lie between $0$ and $M$; by part (3) of corollary 3.1.21, they converge on $D$ to a harmonic function $\Phi $. Each $h_ j^ D$ is admissible, so $h_ j^ D\geq R_ s^ A\geq r$; moreover $h_ j^ D\leq h_ j$. Thus $r\leq \Phi \leq \lim _ jh_ j=r$ almost everywhere on $D$. The bounded superharmonic functions $r$ and $\Phi $ therefore agree almost everywhere, hence everywhere on $D$ by theorem 3.4.12. Since such balls cover $B\setminus A$, the function $r$ is harmonic on $B\setminus A$.

Step 4: Green representation. The function $-r$ is bounded and subharmonic on $B$, so $\nu =-\Delta r$ is a positive measure by part (1) of theorem 3.4.12. As $r$ is harmonic on $B\setminus A$, the measure $\nu $ is supported on the compact set $A$ and is therefore finite. The function $-r$ is bounded, hence locally integrable, its Riesz measure $\nu $ has compact support in $B$, and it tends to zero at $\partial B$; so the converse in part (2) of proposition 4.1.16 gives $-r=-G_ B\nu $, that is, $r=G_ B\nu $ on $B$. The reduction $R_ s^ A$ equals $s$ on $A$, and $r=R_ s^ A$ outside a polar set, so $r=s$ quasi-everywhere on $A$. Finally $I_ B(\nu )=\int r\, \mathrm d\nu \leq M\nu (A)<\infty $. $\square$

Cite this page

Comments

Corrections, questions, and mathematical discussion are welcome. Sign in with GitHub to comment. Comments are public.