Some Results on the Free Poisson Distribution

被引:0
|
作者
Alanzi, Ayed. R. A. [1 ,2 ]
Alqasem, Ohud A. [3 ]
Elwahab, Maysaa Elmahi Abd [3 ]
Fakhfakh, Raouf [2 ,4 ]
机构
[1] Jouf Univ, Coll Sci, Dept Math, POB 2014, Sakaka, Saudi Arabia
[2] Jouf Univ, Coll Sci & Arts Gurayat, Dept Math, Gurayat 77454, Saudi Arabia
[3] Princess Nourah Bint Abdulrahman Univ, Coll Sci, Dept Math Sci, POB 84428, Riyadh 11671, Saudi Arabia
[4] Univ Sfax, Fac Sci Sfax, Lab Probabil & Stat, Sfax 3000, Tunisia
关键词
variance function; Cauchy-Stieltjes transform; Fermi convolution; free Poisson distribution; FAMILIES;
D O I
10.3390/axioms13080496
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Let K+(mu i)={Qsi mu i,si is an element of(m0 mu i,m+mu i)}, i=1,2, be two CSK families generated by the nondegenerate probability measures mu 1 and mu 2 with support bounded from above. Define the set of measures L=K+(mu 1)center dot K+(mu 2)={Qs1 mu 1 center dot Qs2 mu 2,s1 is an element of(m0 mu 1,m+mu 1)ands2 is an element of(m0 mu 2,m+mu 2)}, where Qs1 mu 1 center dot Qs2 mu 2 denotes the Fermi convolution of Qs1 mu 1 and Qs2 mu 2. We prove that if L is still a CSK family (that is, L=K+(sigma) for some nondegenerate probability measure ()sigma), then the probability measures sigma, mu 1 and mu 2 are of the free Poisson type and follow the free Poisson law up to affinity. The same result, regarding the free Poisson measure, is obtained if we consider the t-deformed free convolution t replacing the Fermi convolution center dot in the family of measures L.
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页数:8
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