Showing that $(A_{ij})=\left(\frac1{1+x_i+x_j}\right)$ is positive semidefinite Consider the matrix $A$ whose coefficients are $A_{ij} = \frac{1}{1+x_i+x_j} $ where we have 
$ x_i \geq 0$ and $ x_j \geq 0$  for $ i,j=1,2,\dots,n$. 
How can I prove that this matrix is positive semidefinite for arbitrary $n$? Using first principal minors, I proved that this is positive semi-definite for $n=2$ but I could not generalize it.
 A: Edit: I first foolishly proved that $A$ is positive definite in general. But that's obviously wrong, as $x_1=\ldots=x_n=0$ yields a rank $1$ matrix. So I removed the wrong argument.
Consider the matrix
$$
A_t=\left(t^{x_i+x_j}\right)_{i,j}
$$
and show this is a continuous path of symmetric positive semidefinite for $t\in[0,1]$.
To see this, introduce the matrix
$$
B_t=\left(\frac{t^{x_j}}{\sqrt{n}}\right)_{i,j}
$$
and observe that
$$
A_t=B_t^*B_t.
$$
Then integrate between $0$ and $1$, you find 
$$
\int_0^1A_tdt=A
$$
where integration is performed componentwise.
Note that $A$ is obviously symmetric.
Now fix a vector $X$. Since $(X,A_tX)\geq 0$ for all $t\in[0,1]$, the integration of this continuous function yields 
$$\int_0^1(X,A_tX)dt=(X,AX)\geq 0$$
for all $X$.
So $A$ is positive semidefinite.
A: Let $X= \left( \begin{array}{c} a_1 \\ \vdots \\ a_n \end{array} \right)$. Then $$\begin{array}{ll} ^tXAX & = \sum\limits_{1 \leq i,j \leq n} \frac{a_ia_j}{1+x_i+x_j} = \sum\limits_{1 \leq i,j \leq n} a_ia_j \int_0^1 t^{x_i+x_j}dt \\ & = \sum\limits_{1 \leq i,j \leq n} a_ia_j \int_0^1 t^{x_i}dt \int_0^1 t^{x_j}dt = \left( \sum\limits_{i=1}^n a_i \int_0^1t^{x_i}dt \right)^2 \geq 0 \end{array}$$
