Suppose there is a strictly convex continuous function $f$: $R^n$ $\rightarrow$ $R$.
Is the supremum of $f$ always infinity? How can we prove it?
I am trying to come up with proof. If $x$ and $y$ are two points in $R^n$, strictly convex implies $f(\alpha x_1 + (1-\alpha) x_2) $ < $\alpha f(x_1) + (1-\alpha)f(x_2)$ . Suppose $f$ is bounded.
Case 1:
The bound is attained at a point, say $x_0$. Then for some $\alpha$, some $x_1$ and $x_2$ s.t. $ (\alpha x_1 + (1-\alpha) x_2) = x_0$:
$f(x_0)$< $\alpha f(x_1) + (1-\alpha)f(x_2)$
Therefore a contradiction.
Case 2: The bound is not attained. Since the function is strictly convex, we know $f(x)$ approaches this bound as $x$ approaches $ \infty $
I don't know how to proceed after this step. Where can I find a contradiction in this case?