On generating functions of Hausdorff moment sequences
Abstract
The class of generating functions for completely monotone sequences (moments of finite positive measures on [0,1]) has an elegant characterization as the class of Pick functions analytic and positive on (-∞,1). We establish this and another such characterization and develop a variety of consequences. In particular, we characterize generating functions for moments of convex and concave probability distribution functions on [0,1]. Also we provide a simple analytic proof that for any real p and r with p>0, the Fuss-Catalan or Raney numbers rpn+rpn+rn, n=0,1,… are the moments of a probability distribution on some interval [0,τ] if and only if p1 and p r 0. The same statement holds for the binomial coefficients pn+r-1n, n=0,1,…. A corrigendum (Trans. Amer. Math.Soc., to appear) has been included as an appendix, correcting gaps in the proof of Lemma 3.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.