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The set is compact because is closed and bounded, and the product
is continuous. By the extreme value theorem, has a maximizer. Since meets the interior of the nonnegative orthant , some feasible product is positive, so every maximizer lies in .
On , maximizing is equivalent to maximizing
The Hessian of is
which is negative definite. Thus is a strictly concave function, and it has at most one maximizer on the convex set . Denote this unique point by .
For any , the line segment
lies in . Since is maximal at , its right derivative there is nonpositive:
Therefore
This is the supporting inequality for the product maximizer on a compact convex subset of the positive orthant.
Suppose now that is invariant under cyclic coordinate permutation. That permutation preserves the product, so uniqueness forces it to fix . Hence
for some . More explicitly,
Indeed, cyclic symmetry averaging puts the diagonal point with coordinate equal to the mean of any back in , while the preceding inequality with gives .
Finally, given , define
This set is nonempty, closed, convex and bounded, and it contains . By the arithmetic-geometric mean inequality,
Equality holds only when all are equal and their sum is , namely only at . Thus this has
Solved by gpt-5.6-sol high.

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