Let $f:(0,\infty) \to [0,\infty)$ be a continuous function satisfying $f(1)=0$, which is strictly increasing on $[1,\infty)$, and strictly decreasing on $(0,1]$. Define $$ F(s)=\min_{xy=s,x,y>0} f(x)+ f(y), \, \, \, \, \text{for } \, \, s \in (0,\infty). $$
Claim: $F$ is continuous.
I am looking for a reference for such a claim. (not that claim exactly, but perhaps a slightly more general claim which implies it , or is similar to it).
I think that it follows from a result in the book "Perturbation Analysis of Optimization Problems" by Bonnans and Shapiro, but that book phrases things in much more abstract setting than I find necessary.
BTW, here is my proof:
Suppose that $s \le 1$. Define $g(x,y)=f(x)+f(y)$. Suppose that $s_n \to s$. Write $F(s_n)=g(x_n,y_n)$ for some $x_n,y_n \in [s_n,1]^2, x_ny_n=s_n$. By compactness we may assume that $x_{n_{k}} \to x, y_{n_{k}} \to y$. Thus $$ F(s) \le g(x,y)=\lim_{k \to \infty} g(x_{n_k},x_{y_k})=\lim_{k \to \infty}F(s_{n_k}) \le \liminf F(s_n). $$
On the other hand, take $(x,y) \in (0,\infty)^2$ such that $xy=s$ and $F(s)=g(x,y)$. Now take $x_n,y_n$ such that $x_ny_n=s_n$, and $(x_n,y_n) \to (x,y)$. Then $$ F(s_n) \le g(x_n,y_n) \Rightarrow \limsup F(s_n) \le \lim_{n \to \infty}g(x_n,y_n)=g(x,y)=F(s). $$