Proof.
Variational existence. On the real Hilbert space
\[ \mathcal H=\{ q\in H^1(Y):\int _ Yq\kappa =0\} \]
consider the extended functional
\[ J_\lambda (q)=\tfrac 12E(q,q) +\lambda ^{-1}\log \int _ Y\mathrm e^{\lambda \operatorname {Tr}_\mu q}\, \mathrm d\mu . \]
It is finite at zero. Jensen's inequality and (15.31.5) give
\[ J_\lambda (q)\geq \tfrac 12E(q,q)-E(q,Q), \]
so it is coercive and bounded below. Strong $H^1$ convergence gives $L^1(\mu )$ convergence of traces. A subsequence realizing the lower limit converges almost everywhere for $\mu $, and Fatou's lemma proves strong lower semicontinuity of the exponential term. Jensen excludes a zero integral or a logarithm tending to $-\infty $. Hölder's inequality makes the logarithmic term convex, while the Dirichlet term is strictly convex on $\mathcal H$. Separation of a closed convex epigraph makes $J_\lambda $ weakly lower semicontinuous. Weak compactness therefore gives a unique minimizer $q_\lambda $, with
\[ 0<Z_\lambda :=\int _ Y\mathrm e^{\lambda \operatorname {Tr}_\mu q_\lambda }\, \mathrm d\mu <\infty . \]
Variation in a smooth mean-zero direction $h$ is justified by its boundedness, which dominates the differentiated integrand by a constant times the integrable exponential. Put $\rho _\lambda =\mathrm e^{\lambda \operatorname {Tr}_\mu q_\lambda }/Z_\lambda $. The Euler equation is
\[ E(q_\lambda ,h)+\int _ Yh\rho _\lambda \, \mathrm d\mu =0, \qquad \mathrm{dd}^{\mathrm{c}}q_\lambda =\rho _\lambda \mu -\kappa . \]
The second identity follows for arbitrary smooth tests by subtracting their $\kappa $-mean; $\int \rho _\lambda \, \mathrm d\mu =1$ fixes the constant term. The minimizer has a canonical $\kappa $-plurisubharmonic representative. Its mean-zero Green representation and lemma 15.31.4 give
\[ q_\lambda (x)=\int _ YG(x,y)\rho _\lambda (y)\, \mathrm d\mu (y)\leq 1, \qquad \rho _\lambda \leq \mathrm e^\lambda /Z_\lambda \quad \mu \text{-a.e.} \]
The kernel bound then gives $q_\lambda \geq 1-(\mathrm e^\lambda /Z_\lambda )A_\mu $.
To obtain continuity, the continuous functions $\int \min (K(x,y),L)\, \mathrm d\mu (y)$ increase to the continuous function $1-Q(x)$. Dini's theorem gives
91D68636194F
15.31.11
\begin{equation} \sup _ x\int _ Y(K(x,y)-L)_+\, \mathrm d\mu (y)\longrightarrow 0. \end{equation}
Multiplication by the bounded density $\rho _\lambda $ preserves this estimate. Its truncated Green potentials converge uniformly, so $q_\lambda $ is continuous. Now
\[ w_\lambda =q_\lambda -\lambda ^{-1}\log Z_\lambda \]
solves (15.31.9) with precisely the displayed constant.
Uniqueness and the barriers. Every bounded $\kappa $-plurisubharmonic function is in $H^1$, by the same smoothing and energy bound used above after subtracting its $\kappa $-mean. For two bounded solutions $w_1,w_2$, their right-hand sides have bounded densities relative to $\mu $. The trace inequality extends distributional Stokes to their difference, giving
\[ E(w_1-w_2,w_1-w_2) =-\int _ Y(w_1-w_2)(\mathrm e^{\lambda w_1}-\mathrm e^{\lambda w_2})\, \mathrm d\mu \leq 0. \]
The difference is constant; the unit exponential integrals force that constant to be zero.
Set $L_0=Q-\sup Q\leq 0$, $R_0=Q-\inf Q\geq 0$, and $z=(L_0-w_\lambda )_+$. The $H^1$ chain rule, canonical trace and extended Stokes give
\[ E(z,z)=-\int _ Yz(1-\mathrm e^{\lambda w_\lambda })\, \mathrm d\mu \leq 0. \]
Indeed $z>0$ implies $w_\lambda <L_0\leq 0$. Thus $z$ is constant. If it were a positive constant, continuity would give $w_\lambda =L_0-z\leq -z$ everywhere, contradicting its unit exponential integral. This proves the lower barrier. Testing $(w_\lambda -R_0)_+$ gives the upper barrier with the same argument and the reversed exponential difference. In particular $\| w_\lambda \| _\infty \leq \operatorname {osc}Q$.
Selection. Write $q_\lambda =w_\lambda -\int _ Yw_\lambda \kappa $, consistent with the variational normalization. The barriers give $\mathrm e^{\lambda w_\lambda }=1+O(\lambda )$ uniformly, and the Green identity gives
\[ \| q_\lambda -Q\| _\infty \leq \| \mathrm e^{\lambda w_\lambda }-1\| _\infty \sup _ x\int _ Y|G(x,y)|\, \mathrm d\mu (y)=O(\lambda ). \]
The last kernel integral is bounded by $1+A_\mu $. The $q_\lambda $ are uniformly bounded, so Taylor's formula gives
\[ \lambda ^{-1}\log Z_\lambda =\int _ Yq_\lambda \, \mathrm d\mu +O(\lambda ) =\int _ YQ\, \mathrm d\mu +O(\lambda ). \]
This proves the whole-family estimate. Finally, lemma 15.31.3 identifies every critical subsolution as $Q+C$. Its $\mu $-mean is at most zero exactly when $C\leq -\int Q\, \mathrm d\mu $, proving the order characterization.
$\square$
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