  Reflected random walk in higher dimension arises from an ordinary random walk
(sum of i.i.d. random variables): whenever one of the reflecting coordinates
becomes negative, its sign is changed, and the process continues from that
modified position. One-dimensional reflected random walk is quite well
understood from work in 7 decades, but the multidimensional model presents
several new difficulties. Here we investigate recurrence questions.
