Suppose that I have a sequence of $n$ numbers $x_1, \ldots, x_n$ all taken from the real interval $[0,1]$.
I am interested in minimizing the infinity norm of the vector $$ v = \left( \frac{x_{1}}{x_2}, \ldots, \frac{x_{i-1}+x_{i+1}}{x_i}, \dots, \frac{x_{n-1}}{x_n}\right).$$
A few remarks I have observed so far:
- The vector is homogeneous in the $x_i$, so that we can always fix on variable or suppose that the product $x_1,\ldots, x_n$ is fixed to an arbitrary constant (this we can multiply everything by $x_1,\ldots, x_n$ and get coefficients which are polynomials of degree $n-1$).
- The vector $v$ is invariant by the transformation $x_i \mapsto x_{n-i+1}$. I do therefore think that the values of $x_i$ minimizing $\|v\|_\infty$ satisfies $x_{n-i+1}=x_i$.
- The analysis for n=3,4 reveals that this is indeed the case and that the coefficients of $v$ are all equal (which seems reasonable)
- Using $x_i = \frac{1}{i(n-i+1)}$ gives an upper bound in $2-\Theta(n^{-2})$
Can we derive better bounds on the value of the minimum ? In particular on its asymptotic? I think that asymptotically the minimum tends to $2$ (kind of a concentration of the norm, somehow), but is $n^{-2}$ the correct speed of convergence?