Theorem 13.26.7.279D427FE3F2 Let $p$ be an ordinary model of positive lower volume. Let $\varepsilon _ j$ be rational numbers with $0<\varepsilon _ j<\min (\kappa /2,1/B)$ tending to zero, let $\eta _ j$ be smooth real $(1,1)$-forms with $\theta -\varepsilon _ jh\leq \eta _ j\leq \theta +\varepsilon _ jh$, and put $p_ j=T^\rho _{\eta _ j,\varepsilon _ j}(p)$. Then $p=P_\theta [p]_{\mathcal I}$ if and only if there are analytic $a_ j\in \mathrm{PSH}(X,\eta _ j)$ with
\[ d_{\eta _ j}(a_ j,p_ j)\longrightarrow 0. \]
The approximants may be required to be ordinary models. This condition does not depend on the choice of the strict analytic potential and of the admissible error bounds used to transport $p$. For every such analytic approximation, the convex combinations with $\rho $ of theorem 13.25.5 give analytic potentials in the original background whose ordinary envelopes converge to $p$ for $d_\theta $, in $L^1$ and in capacity.
Proof.
Suppose that $p=P_\theta [p]_{\mathcal I}$. By theorem 13.24.3, there are analytic ordinary models $r_ j$ in background $\theta $ with $d_\theta (r_ j,p)\to 0$ and a common positive lower-volume bound. The transports $a_ j=T^\rho _{\eta _ j,\varepsilon _ j}(r_ j)$ have analytic singularities: the convex coefficients are rational, and ordinary projection preserves the singularity type of an analytic potential by proposition 18.4.8. The estimate (13.26.5) gives $d_{\eta _ j}(a_ j,p_ j)\to 0$.
Conversely, assume that such analytic approximants exist, and put $\delta =\underline{\operatorname {vol}}_\theta (p)$. By theorem 13.26.3, the lower volume of $p_ j$ is at least $c_{\varepsilon _ j}^ n\delta \geq 2^{-n}\delta $. The upper-volume deficit from $a_ j$ to $\max (a_ j,p_ j)$ is at most $d_{\eta _ j}(a_ j,p_ j)$, which tends to zero. Applying lemma 13.18.1 with $b=2$ in background $\eta _ j$, and then addition, gives
\[ \underline{\operatorname {vol}}_{\eta _ j}(a_ j)\geq 2^{-2n}\delta \]
for all sufficiently large $j$.
Put $\beta _ j=\theta +\varepsilon _ jh$. Lemma 13.26.1, with $\beta =\eta _ j$ and $\gamma =\beta _ j$, and projection invariance in background $\beta _ j$ imply $d_{\beta _ j}(a_ j,p_ j)\to 0$. Also $d_{\beta _ j}(p_ j,p)\to 0$. Indeed, (13.26.6) bounds $\max (p_ j,p)$ above by $c_{\varepsilon _ j}P_{\widehat\theta _{\varepsilon _ j}}[p]$, and $c_{\varepsilon _ j}\widehat\theta _{\varepsilon _ j}\geq \beta _ j$ by the form inequality in the proof of theorem 13.26.3. Hence the upper volume of this maximum in background $\beta _ j$ is at most $c_{\varepsilon _ j}^ n\overline{\operatorname {vol}}_{\widehat\theta _{\varepsilon _ j}}(p)$, which tends to $\overline{\operatorname {vol}}_\theta (p)$. The upper volumes of $p_ j$ and $p$ in background $\beta _ j$ lie between $c_{\varepsilon _ j}^ n\overline{\operatorname {vol}}_\theta (p)$ and this bound, so they have the same limit.
Project $a_ j$, $p_ j$ and $p$ to ordinary models in background $\beta _ j$. Their lower volumes have a common positive bound, and their upper volumes are bounded by $v_+(\Omega )$, since $\beta _ j\leq \Omega $. The three-point estimate (13.22.6) in background $\beta _ j$ therefore gives $d_{\beta _ j}(a_ j,p)\to 0$, with constants independent of $j$. Now theorem 13.25.5, applied with the backgrounds $\beta _ j$, shows that $p$ is an ideal model and gives the stated approximation in the original background.
For another choice of transport, theorem 13.26.3 shows that the two reference models in background $\eta _ j$ have volume comparison tending to zero. The lower-volume bound just proved and the same uniform three-point estimate transfer the convergence condition in both directions. This proves independence of the choice.
$\square$
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