Let $x_1, \dots, x_n > 0$ be positive real numbers.
From numerical experiments, it appears that the $n \times n$ matrix
$$A_{ij} = \frac{1}{x_i + x_j} $$
is always positive semidefinite.
Is this known or obvious??
In the $2 \times 2$ case, the minimum eigenvalue of $A$ is given by
$$\lambda_{min}=\frac{(x_1+x_2)^2 - \sqrt{(x_1+x_2)^4-4 x_1 x_2 (x_1 - x_2)^2}}{4 x_1 x_2 (x_1+x_2)}>0,$$
but I don't see how to prove positivity of $A$ for arbitrary $n$.