“…There are many important examples of negatively dependent "repelling" random variables in probability theory, combinatorics, stochastic processes and statistical mechanics: uniform random spanning tree measures [16], symmetric exclusion processes [52,55], random cluster models (with q < 1) [33,42,65], balanced and Rayleigh matroids [20,29,68,70,72], competing urns models [26], etc; see, e.g., [45,65] and the references therein for a discussion of some of these examples and several others. To add to this list, in §3 we show that both the inequalities characterizing multi-affine real stable polynomials [8,9,15] and Hadamard-FischerKotelyansky type inequalities in matrix theory [28,40,39] may in fact be viewed as natural manifestations of negative dependence properties.…”