Proof.
If $\beta =\sum _ i t_ i\beta _ i$ with $t_ i\in [0,1]$ and $\sum _ i t_ i=1$, then by the weighted arithmetic–geometric mean inequality,
\[ x\cdot \beta =\sum _ i t_ i\, x\cdot \beta _ i \leq \log \sum _ i t_ i\mathrm{e}^{x\cdot \beta _ i} \leq \log \sum _ i \mathrm{e}^{x\cdot \beta _ i}. \]
This proves that the function in 1 is bounded from below.
Conversely, if $\beta $ does not lie in the convex hull of the $\beta _ i$'s, choose $a\in \mathbb {R}^ n$ such that
\[ a\cdot \beta >\max _ i a\cdot \beta _ i. \]
Evaluating at $x=ta$ and letting $t\to \infty $, we find
\[ \log \sum _ i \mathrm{e}^{t a\cdot \beta _ i}-t\, a\cdot \beta \to -\infty , \]
contradicting 1.
$\square$
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