Motivated by and with the aim of generalizing (Bar-Lev and Enis, 1987), we identify various limit laws of certain centralizing transformations of families of random variables by establishing a nontrivial equivalence with limits of their Laplace–Stieltjes transforms evaluated at transformed values.

For certain subordinators (Xt)t≥0 it is shown that the process (−tlogXts)s0 tends to an extremal process (η̂s)s0 in the sense of convergence of the finite dimensional distributions. Additionally it is also shown that (z∧(−tlogXts))s≥0 converges weakly to (z∧η̂s)s≥0 in D[0,∞),...