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21.6 Compact convex envelopes and full-mass limits2F45C4BAC276

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We add two complements. First, the convex envelope of finitely many closed convex functions whose effective domains lie in a common compact set, such as the conjugates of finitely many functions in $\mathcal P(N_{\mathbb R},P)$, is closed, and the infimum defining it is attained. Second, vague convergence of real Monge–Ampère measures improves to narrow convergence when the total masses converge, as they do for functions of full mass.

Lemma 21.6.1.FCDAD9CEC8CE Let $G_1,\ldots ,G_ r$, with $r\geq 1$, be closed proper convex functions on a finite-dimensional real vector space, whose effective domains lie in a common compact set $K$, and let $H$ be the largest convex function below $\min _ iG_ i$, given by the formula of proposition 21.3.3(2). Then $H$ is closed and proper, and at every point $x$ with $H(x)<+\infty $ the infimum defining $H(x)$ is attained. Consequently $H=(\max _ iG_ i^*)^*$. In particular, if $P\subset M_{\mathbb R}$ is a convex body and $F_1,\ldots ,F_ r\in \mathcal P(N_{\mathbb R},P)$, then the convex envelope of $F_1^*,\ldots ,F_ r^*$ is closed and equals $(\max _ iF_ i)^*$.

Proof. Each $G_ i$ is bounded below: the increasing open sets $\{ G_ i>-k\} $, $k\in \mathbb N$, cover the compact set $K$, because $G_ i$ is lower semicontinuous and does not take the value $-\infty $, so one of them contains $K$; and $G_ i=+\infty $ outside $K$. Let $B$ be a common lower bound. In a combination $\sum _ j\lambda _ jG_{i_ j}(x_ j)$ as in proposition 21.3.3(2), the terms with the same function $G_ i$ can be merged: if $\Lambda _ i$ is the sum of their weights, the convexity of $G_ i$ gives $\sum _{j:i_ j=i}\lambda _ jG_ i(x_ j)\geq \Lambda _ iG_ i(y_ i)$ with $y_ i=\Lambda _ i^{-1}\sum _{j:i_ j=i}\lambda _ jx_ j$, and the barycenter is unchanged. Hence it suffices to consider combinations $\sum _{\lambda _ i>0}\lambda _ iG_ i(x_ i)$ with one point $x_ i\in \operatorname {dom}G_ i$ for each $i$ and weights $\lambda _ i\geq 0$ summing to one; for an index $i$ with $\lambda _ i=0$ we let $x_ i$ be a fixed point of $\operatorname {dom}G_ i$, and the corresponding term is omitted.

Let $x_\nu \to x$ with $\varliminf _\nu H(x_\nu )=L<+\infty $. Passing to a subsequence, we may assume that $H(x_\nu )\to L$, and we choose combinations for $x_\nu $, with points $x_{i,\nu }$ and weights $\lambda _{i,\nu }$, whose values tend to $L$. Since $K$ and the simplex of weights are compact, a further subsequence satisfies $x_{i,\nu }\to x_ i\in K$ and $\lambda _{i,\nu }\to \lambda _ i$ for every $i$. The limiting weights are nonnegative and sum to one, and since the $x_{i,\nu }$ are bounded, the terms with $\lambda _ i=0$ disappear in the limit of the barycenters, so $\sum _{\lambda _ i>0}\lambda _ ix_ i=x$. The nonnegative numbers $\lambda _{i,\nu }(G_ i(x_{i,\nu })-B)$ have sum tending to $L-B$. For $\lambda _ i>0$, lower semicontinuity gives $\varliminf _\nu \lambda _{i,\nu }(G_ i(x_{i,\nu })-B)\geq \lambda _ i(G_ i(x_ i)-B)$, and therefore

\[ \sum _{\lambda _ i>0}\lambda _ i(G_ i(x_ i)-B) \leq \varliminf _\nu \sum _ i \lambda _{i,\nu }(G_ i(x_{i,\nu })-B)=L-B. \]

In particular, all the values $G_ i(x_ i)$ with $\lambda _ i>0$ are finite, and the combination with points $x_ i$ and weights $\lambda _ i>0$ is admissible for $x$, with value at most $L$. Thus $H(x)\leq L$, which proves that $H$ is lower semicontinuous. Moreover $B\leq H\leq G_1$, so $H$ is proper. Applying the same argument to the constant sequence $x_\nu =x$ and admissible combinations whose values tend to $H(x)<+\infty $, we see that the infimum defining $H(x)$ is attained. By proposition 21.3.3(2), $H^*=\max _ iG_ i^*$, and since $H$ is closed and proper, theorem 21.3.2 gives $H=H^{**}=(\max _ iG_ i^*)^*$.

For the last assertion, the conjugates $F_ i^*$ are closed proper convex functions whose effective domains lie in the compact set $P$, by theorem 21.3.2, proposition 21.4.2. Since $F_ i^{**}=F_ i$, the first part gives the formula $(\max _ iF_ i)^*$ for their convex envelope. $\square$

Lemma 21.6.2.F2FABB0A312F Let $\mu _ j$ and $\mu $ be finite positive Radon measures on a finite-dimensional real vector space $W$ such that $\mu _ j\to \mu $ vaguely and $\mu _ j(W)\to \mu (W)$. Then $\int h\, \mathrm d\mu _ j\to \int h\, \mathrm d\mu $ for every bounded continuous function $h$ on $W$, that is, $\mu _ j\to \mu $ narrowly (section 2.6). In particular, if $P\subset M_{\mathbb R}$ is a convex body, $F_ j,F\in \mathcal E(N_{\mathbb R},P)$ and $F_ j\to F$ locally uniformly, then $\operatorname {MA}_{\mathbb R}(F_ j)\to \operatorname {MA}_{\mathbb R}(F)$ narrowly.

Proof. Let $\varepsilon >0$. By inner regularity there is a compact set $S$ with $\mu (W\setminus S)<\varepsilon $; let $\eta $ be a continuous function with compact support, $0\leq \eta \leq 1$ and $\eta =1$ on $S$. Since $\int \eta \, \mathrm d\mu _ j\to \int \eta \, \mathrm d\mu $ and the total masses converge, we have

\[ \lim _ j\int (1-\eta )\, \mathrm d\mu _ j =\int (1-\eta )\, \mathrm d\mu <\varepsilon , \]

so that $\mu _ j(W\setminus \operatorname{Supp}\eta )\leq \int (1-\eta )\, \mathrm d\mu _ j<\varepsilon $ for all large $j$. Thus the sequence $(\mu _ j)$ is eventually uniformly tight, and proposition 2.6.3 gives narrow convergence. (If $W$ is a point, every function on $W$ has compact support, and vague and narrow convergence coincide.) For the real Monge–Ampère measures, theorem 21.5.2 gives vague convergence and the common total mass $n!\operatorname {vol}(P)$. $\square$

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