“…Furthermore, combined with (6.16), the arguments imply that the joint distribution of the pair of random variables F (1) ω,n (x + i0), F (2) ω,n (x) is continuous in the limit, and hence (6.9) holds. Theorem 6.2 has implications for the random matrix models which are discussed next, and for thě Seba process [27,23,6,3] on which more is said in [2]. Following is another continuity criterion which may be of interest beyond the cases covered by it, in particular when the spectral measures are singular but with dense support and not of uniform masses.…”