I have the following convex optimization problem: $$\begin{array}{ll} \text{maximize}_{{f,g}} & \displaystyle\int_{\Omega} g^u{f}^{1-u}\mathrm{d}\mu\\ \text{subject to} & \displaystyle\int_{\Omega} f \mathrm{d}\mu= 1,\quad \displaystyle\int_{\Omega} g\mathrm{d}\mu =1 \\ & f_L \leq {f} \leq f_U\\ & g_L \leq g \leq g_U\end{array}$$ where $u\in(0,1) $ and $$\int_{\Omega}f_L \mathrm{d}\mu< 1,\quad\int_{\Omega}g_L \mathrm{d}\mu< 1$$

$$\int_{\Omega}f_U \mathrm{d}\mu> 1,\quad\int_{\Omega}g_U \mathrm{d}\mu> 1$$ Here, $f$ and $g$ are distinct density functions and $f_L,f_U,g_L,g_U$ are some known positive functions on $\Omega$.

Claim: The solution is unique and it is the same for every $u\in(0,1)$, if $f_U=\infty$ and $g_U=\infty$, i.e., if there are only lower bounds, or $f_L=0$ and $g_L=0$, i.e., if there are only upper bounds. Else, the solution is also unique but it is not the same for all $u$.

Question: Are these claims true, especially the last one?

$\mu$ can be the Lebesgue measure, although I believe the same holds for the counting measure and the discrete sets. The set $\Omega$ can be $\mathbb{R}$ or an interval of real numbers.

I am especially interested in the last ''not'' case, and for this case if necessary $g_U$ and $f_U$ can be assumed to be integrable over $\Omega$.

I had previously asked this question at math.stackexchange but with no answers.