An elementary proof of a lower bound for the inverse of the star discrepancy

Abstract: A central problem in discrepancy theory is the challenge of evenly distributing points $\left{x_1, \dots, x_n \right}$ in $[0,1]^d$. Suppose a set is so regular that for some $\varepsilon> 0$ and all $y \in [0,1]^d$ the sub-region $[0,y] = [0,y_1] \times \dots \times [0,y_d]$ contains a number of points nearly proportional to its volume and $$\forall~y \in [0,1]^d \qquad \left| \frac{1}{n} # \left{1 \leq i \leq n: x_i \in [0,y] \right} - \mbox{vol}([0,y]) \right| \leq \varepsilon,$$ how large does $n$ have to be depending on $d$ and $\varepsilon$? We give an elementary proof of the currently best known result, due to Hinrichs, showing that $n \gtrsim d \cdot \varepsilon^{-1}$.