Theorem 2.1 . [02DG] Original official author HTML, exact retained edition. Historical TeX conversion verdicts remain unchanged. Cited-edition alignment and mathematical self-containment are not assessed.
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Theorem 2.1 .
Let μ \mu be a probability measure on X X which satisfies condition
ℋ ( α , A , ω ) {\mathcal{H}}(\alpha,A,\omega) . Then there exists a unique
continuous function φ ∈ P S H ( X , ω ) \varphi\in PSH(X,\omega) such that
μ = ( ω + d d c φ ) n and sup X φ = − 1 . \mu=(\omega+dd^{c}\varphi)^{n}\;\text{ and }\;\sup_{X}\varphi=-1.
Moreover ‖ φ ‖ L ∞ ( X ) ≤ C ||\varphi||_{L^{\infty}(X)}\leq C , where C C only
depends on α , A \alpha,A and ω \omega .