For each $n\in \mathbb{N}\cup\{0\}$, let $x_n(t)=\frac{t^n}{n!}$ for all $t\in [0,1]$. As the functions $X_N=(x_0 ,\ldots, x_N)$ are linearly independent, the matrix $ \int_0^1 X_N(t)^\top X_N(t)\,\mathrm{d} t$ is positive definite.
Is it possible to quantify the behavior (such as lower bound) of the minimum eigenvalue in terms of $N$?
