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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][0,1]) has an elegant characterization as the class of Pick functions analytic and positive on (βˆ’βˆž,1)(-\infty,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][0,1]. Also we provide a simple analytic proof that for any real pp and rr with p>0p>0, the Fuss-Catalan or Raney numbers rpn+r(pn+rn)\frac{r}{pn+r}\binom{pn+r}{n}, n=0,1,…n=0,1,\ldots are the moments of a probability distribution on some interval [0,Ο„][0,\tau] {if and only if} pβ‰₯1p\ge1 and pβ‰₯rβ‰₯0p\ge r\ge 0. The same statement holds for the binomial coefficients (pn+rβˆ’1n)\binom{pn+r-1}n, n=0,1,…n=0,1,\ldots.Comment: 23 pages, LaTeX; Minor corrections and explanations added, literature update. To appear in Transactions Amer. Math. So

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