Let $x_1,x_2..x_n$ be real numbers in $[-1,1]$ with $$\sum_{i=1}^{n} {x_i}^3=0$$ then find maximum value of :$$A=\sum_{i=1}^n x_1$$
As i don't know how to start i give a brief background of the problem along with some of my intuition.
Background we define for each $i$: $b_i={x_i}^3$. Hence we require the minimum of: $\sum {(b_i)}^{1/3}$.The most interesting part of the problem is that $f(x)={x}^{1/3}$ is convex for all $x<0$ and concave $x>0$.
If we assume $b_1,b_2,..b_k$ as negative then we can apply the following lemma with $a=-1,b=0$.
Lemma:Suppose that f(x) is a real convex function defined on $[a,b]$ and $x_1, x_2, ... , x_n$ belonging to $[a, b]$ such that $ x_1 + x_2+ ... + x_n = S$,then the function $$F=f(x_1)+f(x_2)..+f(x_n) $$ attains maximum value if and only if $n-1$ elements are equal to $a$ or $b$.
But i am stuck on how to handle $b_{k+1}...b_n$ Jensen would work as by assumption $b_{k+1},b_{k+2}..b_n $ will be postive.But again i don't know how to start.
By using $\cos3\alpha=4\cos^3\alpha-3\cos\alpha$ we obtain: $$\sum_{i=1}^nx_i\leq\frac{n}{3}.$$ I hope it will help.