of theorem 15.37.4.
The proof has four steps: continuous positive densities, bounded densities, integrable densities, and finally the zero exponent.
Let $\mu $ be the given nonzero finite non-pluripolar measure. Apply lemma 15.24.4 to the Hermitian, hence semipositive and big, background $\omega $ to write
\[ \mu =f\nu ,\qquad \nu =\omega _\psi ^ n,\qquad \psi \in \mathrm{PSH}(X,\omega )\cap L^\infty (X),\qquad 0\leq f\in L^1(\nu ). \]
Step 1: positive continuous density. Fix $\lambda >0$ and suppose first that $f$ is continuous and strictly positive. By theorem 5.32.1, choose smooth strictly $\omega $-plurisubharmonic $\psi _ j\downarrow \psi $. These potentials are uniformly bounded; write $\| \psi _ j\| _\infty \leq L$ and $\nu _ j=\omega _{\psi _ j}^ n$. Bounded Bedford–Taylor continuity gives $\nu _ j\rightharpoonup \nu $. The measure $f\nu _ j$ has a continuous positive density with respect to smooth volume, so it belongs to every finite $L^ p$ space. Hence the prescribed ordinary-type theorem theorem 15.12.1 gives $u_ j\sim \varphi $ with
\[ \mu _{u_ j}=\mathrm{e}^{\lambda u_ j}f\nu _ j. \]
We first bound the $u_ j$ from above, uniformly in $j$. Choose $K$ with $\mathrm{e}^{-\lambda (\psi _ j+K)}\leq \min _ Xf$ for all $j$. Then
\[ \mathrm{e}^{-\lambda (\psi _ j+K)}\omega _{\psi _ j+K}^ n \leq f\nu _ j =\mathrm{e}^{-\lambda u_ j}\mu _{u_ j} \leq \mathrm{e}^{-\lambda u_ j}\mathrm{MA}^{\mathrm{ext}}_\omega (u_ j), \]
where the last inequality follows from $\omega \geq \theta $ and positivity of extended mixed products. Apply corollary 15.2.3 in the background $\omega $, with first potential $\psi _ j+K$ and second potential $u_ j$. Its hypotheses hold: the first potential is bounded, so it admits a smaller-background envelope, and $u_ j\preceq \psi _ j+K$. Thus $u_ j\leq \psi _ j+K\leq L+K=:C$.
By (15.37.2), $u_ j\leq \varphi +C$. Since
\[ \mu _{u_ j}\leq \| f\| _\infty \mathrm{e}^{\lambda u_ j}\omega _{\psi _ j}^ n, \]
proposition 15.37.21 gives a single $h\in \mathcal E_\varphi $ below all $u_ j$. The bounds $h\leq u_ j\leq \varphi +C$ and theorem 5.25.2 give, after extraction, an $L^1$ limit $u\not\equiv -\infty $. The moving-measure theorem theorem 15.37.26 now applies, because $\psi _ j\to \psi $ in capacity and $\mu _{u_ j}\leq \mathrm{e}^{\lambda C}\| f\| _\infty \nu _ j$. It gives $u\in \mathcal E_\varphi $, convergence in capacity and $\mu _{u_ j}\rightharpoonup \mu _ u$.
The right-hand sides converge weakly to $\mathrm{e}^{\lambda u}f\nu $. Indeed, $\mathrm{e}^{\lambda u_ j}-\mathrm{e}^{\lambda u}\to 0$ in capacity with a common bound, so its integral against $\nu _ j$ tends to zero by the uniform capacity estimate for these measures. The fixed function $\mathrm{e}^{\lambda u}$ is bounded and quasi-continuous. Approximating it by a continuous function outside an open set of arbitrarily small capacity, bounded product continuity and the same capacity estimate allow this fixed weight in $\nu _ j\rightharpoonup \nu $. Multiplication by the continuous function $f$ and by a continuous test function preserves both estimates. Hence $\mu _ u=\mathrm{e}^{\lambda u}f\nu $.
Step 2: bounded density. Suppose next that $0\leq f\in L^\infty (\nu )$ and $\int _ Xf\, \mathrm{d}\nu >0$. Choose positive continuous functions $f_ j$, uniformly bounded by a constant $F$, with $f_ j\to f$ almost everywhere for $\nu $. Such a sequence is obtained from the density of continuous functions in $L^1(\nu )$ by clipping to a common interval, adding positive constants tending to zero, and extracting a summably convergent subsequence.
There is a bounded nonnegative function $g$ with $g\nu \ne 0$ and $g\leq f_ j$ for all $j$. Indeed, choose $a>0$ with $\nu (\{ f\geq 2a\} )>0$. By Egorov's theorem, there is a measurable subset $E\subseteq \{ f\geq 2a\} $ of positive measure on which the convergence is uniform; hence $f_ j\geq a$ on $E$ for all $j\geq N$, for some $N$. The finitely many remaining functions $f_1,\ldots ,f_{N-1}$ are positive and continuous, so they have positive minima on $X$. If $b>0$ is a lower bound for these minima and for $a$, then $g=b\mathbf1_ E$ works.
By Step 1, let $u_ j\in \mathcal E_\varphi $ solve $\mu _{u_ j}=\mathrm{e}^{\lambda u_ j}f_ j\nu $. The theorem for the reference zero, theorem 15.37.28, applied to the finite nonzero measure $g\nu $, gives $s\in \mathcal E_0$ satisfying
\[ \mathrm{MA}^{\mathrm{ext}}_\theta (s)=\mathrm{e}^{\lambda s}g\nu . \]
Apply corollary 15.37.11 with reference zero, first potential $s\in \mathcal E_0$ and second potential $u_ j\preceq 0$. Since $g\nu \leq f_ j\nu $, it gives $u_ j\leq s$. With $C=\sup _ Xs$ we have
\[ \mu _{u_ j}\leq \mathrm{e}^{\lambda C}F\nu , \qquad \kappa \leq \mathrm{e}^{\lambda \sup _ Xu_ j}F\nu (X), \]
where the second inequality uses $\mu _{u_ j}(X)\geq \kappa $. These two bounds on the suprema give a subsequence converging in $L^1$ to some $u\not\equiv -\infty $. The fixed-measure continuity theorem theorem 15.37.19 puts $u$ in $\mathcal E_\varphi $ and identifies the weak limit of $\mu _{u_ j}$ as $\mu _ u$.
By lemma 5.44.2, $\mathrm{e}^{\lambda u_ j}\to \mathrm{e}^{\lambda u}$ in $L^1(\nu )$, and $f_ j\to f$ in $L^1(\nu )$ by dominated convergence. Since both factors are uniformly bounded,
\[ \mathrm{e}^{\lambda u_ j}f_ j\longrightarrow \mathrm{e}^{\lambda u}f \quad \hbox{in }L^1(\nu ). \]
Thus the right-hand sides converge in total variation, which proves the equation for $f$.
Step 3: integrable density. For general $f\in L^1(\nu )$, apply Step 2 to $f_ j=\min (f,j)$ and obtain $u_ j\in \mathcal E_\varphi $ with $\mu _{u_ j}=\mathrm{e}^{\lambda u_ j}f_ j\nu $. Since $f_ j\leq f_{j+1}$, exponential order gives $u_{j+1}\leq u_ j$. Furthermore
\[ \kappa \leq \mathrm{e}^{\lambda \sup _ Xu_ j}\mu (X), \qquad \mu _{u_ j}\leq \mathrm{e}^{\lambda \sup _ Xu_1}\mu . \]
Hence the decreasing limit $u$ is not identically $-\infty $, and the fixed-measure continuity theorem gives $u\in \mathcal E_\varphi $ and $\mu _{u_ j}\rightharpoonup \mu _ u$. Dominated convergence gives $\mathrm{e}^{\lambda u_ j}f_ j\to \mathrm{e}^{\lambda u}f$ in $L^1(\nu )$, so $\mu _ u=\mathrm{e}^{\lambda u}\mu $. Uniqueness follows from corollary 15.37.11, applied in both directions.
Step 4: zero exponent. For each positive integer $j$, Step 3 with exponent $1/j$ gives $u_ j\in \mathcal E_\varphi $ with $\mu _{u_ j}=\mathrm{e}^{u_ j/j}\mu $. By theorem 15.37.28, choose $s\in \mathcal E_0$ solving
\[ \mathrm{MA}^{\mathrm{ext}}_\theta (s)=\mathrm{e}^ s\mu . \]
Put $H=\max (0,\sup _ Xs)$ and $w_ j=s+(j-1)H$. Then $w_ j/j\geq s$, whence
\[ \mathrm{e}^{-w_ j/j}\mathrm{MA}^{\mathrm{ext}}_\theta (w_ j) \leq \mu =\mathrm{e}^{-u_ j/j}\mu _{u_ j}. \]
As in Step 2, exponential order applies with reference zero, first potential $w_ j\in \mathcal E_0$ and second potential $u_ j\preceq 0$. It gives $u_ j\leq w_ j\leq jH$. Only an upper bound for $s$ is used here; the mass of $s$ is finite by its equation.
Set $M_ j=\sup _ Xu_ j$, $v_ j=u_ j-M_ j$ and $c_ j=\mathrm{e}^{M_ j/j}$. Then
\[ \sup _ Xv_ j=0,\qquad \frac{\kappa }{\mu (X)}\leq c_ j\leq \mathrm{e}^ H,\qquad \mu _{v_ j}=c_ j\mathrm{e}^{v_ j/j}\mu \leq \mathrm{e}^ H\mu . \]
The lower bound for $c_ j$ follows from $\mu _{v_ j}(X)\geq \kappa $ and $v_ j\leq 0$. Extract so that $v_ j\to v$ in $L^1(X)$ and $c_ j\to c>0$; the limit $v$ is not identically $-\infty $ and satisfies $\sup _ Xv=0$.
By lemma 5.44.5, $a_ j=\mathrm{e}^{v_ j/j}\to 1$ in $L^1(\mu )$. Consequently $\mu _{v_ j}=c_ ja_ j\mu \to c\mu $ in total variation. The fixed-measure continuity theorem gives $v\in \mathcal E_\varphi $ and $\mu _ v=c\mu $. Finally, the scalar assertion of corollary 15.37.11, applied in both directions, shows that $c$ is unique.
$\square$
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