Notes on Cauchy–Stieltjes Kernel Families

The free Meixner family (FMF) is the family of measures that produces quadratic Cauchy–Stieltjes Kernel (CSK) families (i.e., meaning that the associated variance function (VF) is a polynomial with degree ≤2 in the mean). Furthermore, a cubic class is introduced in the context of CSK families and is connected to the quadratic class via a reciprocity relation. The associated probability measures are the so-called free analog of the Letac–Mora class (with VF of degree 3). In free probability theory, these two classes of probabilities are crucial. However, a novel transformation of measures is introduced in the setting of free probability, known as the Ta-transformation of probability measures. Denote by P the set of (non-degenerate) real probabilities. For ν∈P and a∈R, consider the transformation of measure ν, denoted Ta(ν), defined by FTa(ν)(w)=Fν(w−a)+a, where Fν(·) is the inverse of the Cauchy–Stieltjes transformation of ν. In this study, we provide important insights into the notion of the Ta-transformation of probabilities. We demonstrate that the FMF (respectively, the free counterpart of the Letac–Mora class of measures) is invariant under the Ta-transformation. Furthermore, we develop additional characteristics of the Ta-transformation, which yield intriguing findings for significant free probability distributions such as the free Poisson and free Gamma distributions.

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Publication Details

Journal
Axioms
Published
2025-03-04
DOI
https://doi.org/10.3390/axioms14030189
Citations
6
Primary Topic
Mathematical Analysis and Transform Methods
Type
article
Field-Weighted Citation Impact
22.36
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article

Notes on Cauchy–Stieltjes Kernel Families

Shokrya S. Alshqaq, Fatimah Alshahrani, Raouf Fakhfakh
6 citations
Axioms
Mathematical Analysis and Transform Methods
22.36
article

Notes on Cauchy–Stieltjes Kernel Families

Shokrya S. Alshqaq, Fatimah Alshahrani, Raouf Fakhfakh
article en
6 citations

Abstract

The free Meixner family (FMF) is the family of measures that produces quadratic Cauchy–Stieltjes Kernel (CSK) families (i.e., meaning that the associated variance function (VF) is a polynomial with degree ≤2 in the mean). Furthermore, a cubic class is introduced in the context of CSK families and is connected to the quadratic class via a reciprocity relation. The associated probability measures are the so-called free analog of the Letac–Mora class (with VF of degree 3). In free probability theory, these two classes of probabilities are crucial. However, a novel transformation of measures is introduced in the setting of free probability, known as the Ta-transformation of probability measures. Denote by P the set of (non-degenerate) real probabilities. For ν∈P and a∈R, consider the transformation of measure ν, denoted Ta(ν), defined by FTa(ν)(w)=Fν(w−a)+a, where Fν(·) is the inverse of the Cauchy–Stieltjes transformation of ν. In this study, we provide important insights into the notion of the Ta-transformation of probabilities. We demonstrate that the FMF (respectively, the free counterpart of the Letac–Mora class of measures) is invariant under the Ta-transformation. Furthermore, we develop additional characteristics of the Ta-transformation, which yield intriguing findings for significant free probability distributions such as the free Poisson and free Gamma distributions.

AxiomsVol. 14(3)
Princess Nourah bint Abdulrahman University (SA), Jouf University (SA), Jazan University (SA)
Openalex Percentile: Top 0%
Mathematical Analysis and Transform Methods
22.36
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