2009
DOI: 10.1142/s0219025709003586
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Generating Functions of Cauchy–stieltjes Type for Orthogonal Polynomials

Abstract: We give a free probabilistic interpretation of the multiplicative renormalization method applied with h(x) = (1 − x) −1 . As a byproduct, we give a short proof of the Asai-Kubo-Kuo result on the characterization of the family of probability measures with a Cauchy-Stieltjes type generating functions for orthogonal polynomials. This family turns to be the free Meixner family. We also give representations for the Voiculescu transform of all free Meixner distributions (even in the non-freely infinitely divisible c… Show more

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Cited by 11 publications
(11 citation statements)
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“…Then we do the same for both Kubo's and Morris's characterizations. In the free setting, a connection is found between Bryc and Ismail's characterization using Cauchy-Stieljes families of quadratic variances and the one given by the authors via Cauchy-Stieltjes-type generating functions of OP ( [10]).…”
mentioning
confidence: 84%
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“…Then we do the same for both Kubo's and Morris's characterizations. In the free setting, a connection is found between Bryc and Ismail's characterization using Cauchy-Stieljes families of quadratic variances and the one given by the authors via Cauchy-Stieltjes-type generating functions of OP ( [10]).…”
mentioning
confidence: 84%
“…On the one hand, a combination of [4] and [9] allowed us to characterize the free Meixner distributions and Asai-Kuo-Kubo criterion ( [2]) was used to derive analogous identities to (5) and (6) involving the free cumulant generating function ( [10]). More precisely, let µ be a standard probability distribution with all moments finite.…”
Section: Free Meixner Familymentioning
confidence: 99%
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“…The Stieltjes transform defined in this section, up to a sign, is often referred to as the Cauchy transform (i.e., Cima et al, 2006;Hiai and Petz, 2000;Nica and Speicher, 2006) or the Stieltjes-Cauchy transform (i.e., Hasebe, 2012;Bożejko and Demni, 2009). In this thesis we use the term Stieltjes transform following the work by Couillet and Debbah (2011).…”
Section: Stieltjes Transformmentioning
confidence: 99%
“…Результаты, рассмотренные выше, имеют некоммутативные аналоги в свободной теории вероятностей [16], [17] (см. также [4], [5], [10], [12], [13], [43] и приведенные там ссылки). По поводу дальнейших связей между классическими распределениями из класса Мейкснера и свободной теорией вероятностей см.…”
Section: Doi: 104213/rm9668unclassified