Abstract
Let I * and I ⊞ be the classes of all classical infinitely divisible distributions and free infinitely divisible distributions, respectively, and let Λ be the Bercovici–Pata bijection between I * and I ⊞. The class type W of symmetric distributions in I ⊞ that can be represented as free multiplicative convolutions of the Wigner distribution is studied. A characterization of this class under the condition that the mixing distribution is 2-divisible with respect to free multiplicative convolution is given. A correspondence between symmetric distributions in I ⊞ and the free counterpart under Λ of the positive distributions in I * is established. It is shown that the class type W does not include all symmetric distributions in I ⊞ and that it does not coincide with the image under Λ of the mixtures of the Gaussian distribution in I *. Similar results for free multiplicative convolutions with the symmetric arcsine measure are obtained. Several well-known and new concrete examples are presented.
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Abbreviations
- ℘:
-
The set of all probability measures on ℝ.
- ℘+ :
-
The set of all probability measures on ℝ+.
- ℘ s :
-
The set of all symmetric probability measures on ℝ.
- \(\mathcal{C}_{\mu}^{\ast}\) :
-
The classical cumulant transform of the probability measure μ.
- G μ :
-
The Cauchy transform of the probability measure μ.
- F μ :
-
The reciprocal of the Cauchy transform of the probability measure μ.
- \(\mathcal{C}_{\mu}^{\boxplus}\) :
-
The free cumulant (or R−) transform of the probability measure μ.
- I * :
-
The set of all (classical) infinitely divisible distributions on ℝ.
- \(I_{+}^{\ast}\) :
-
The set of all positive (classical) infinitely divisible distributions on ℝ+.
- \(I_{s}^{\ast}\) :
-
The set of all symmetric (classical) infinitely divisible distributions on ℝ.
- I ⊞ :
-
The set of all free infinitely divisible distributions on ℝ.
- \(I_{s}^{\boxplus}\) :
-
The set of all free symmetric infinitely divisible distributions on ℝ.
- \(I_{r+}^{\boxplus}\) :
-
The set of all free regular infinitely divisible distributions on ℝ+.
- ℒ(X):
-
The law of a real random variable X.
- ν μ :
-
The Lévy measure of μ∈I * or I ⊞.
- S μ :
-
The S-transform of the probability measure μ∈℘+.
- w b,a :
-
The Wigner (or semicircle) distribution with mean b and variance a.
- w:
-
The Wigner (or semicircle) distribution with mean 0 and variance 1.
- m c :
-
The Marchenko–Pastur (or free Poisson) distribution with parameter c>0.
- m:
-
The Marchenko–Pastur (or free Poisson) distribution with parameter 1.
- a s :
-
The symmetric arcsine distribution on (−s,s).
- a:
-
The symmetric arcsine distribution on (−1,1).
- \(\mathrm{a}_{s}^{+}\) :
-
The positive arcsine distribution on (0,s).
- a+ :
-
The positive arcsine distribution on (0,1).
- γ b,a :
-
The Gaussian distribution with mean b and variance a.
- γ s :
-
The Gaussian distribution with mean 0 and variance s.
- p c :
-
The classical Poisson distribution with mean c>0.
- \(\gamma_{s}^{(2)}\) :
-
The gamma distribution with shape parameter 1/2 and scale parameter s.
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Part of V. Pérez-Abreu’s work was done while the first author was visiting Keio University during his frequent visits there. He acknowledges the support and hospitality of the Mathematics Department of this university.
Part of N. Sakuma’s work was done while the second author was visiting CIMAT. He sincerely appreciates the support and hospitality of CIMAT. He is supported by the Japan Society for the Promotion of Science.
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Pérez-Abreu, V., Sakuma, N. Free Infinite Divisibility of Free Multiplicative Mixtures of the Wigner Distribution. J Theor Probab 25, 100–121 (2012). https://doi.org/10.1007/s10959-010-0288-5
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DOI: https://doi.org/10.1007/s10959-010-0288-5