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Central Limit for the Product of Free Random Variables
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abstract
The central limit for the product of free random variables are studied by evaluating all the moments of the limit distribution. The logarithm of the central limit is found to be the same as the sum of two independent free random variables: one semicircularly distributed and another uniformly distributed. The logarithm of central limit has a moment-generating function of $\exp(\xi^2 s/2) {_{1}F_{1}}\left(1-s; 2; -\xi^2 s \right)$.
Forward citations
Cited by 2 Pith papers
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Rates of convergence in the Free Multiplicative Central Limit Theorem
First quantitative convergence rates for the free multiplicative CLT in Wasserstein and Kolmogorov distances.
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Hua-Pickrell diffusions and differential equations related with pseudo-Jacobi polynomials
For Hua-Pickrell diffusions, the large-N empirical limits are independent of β, and the frozen β=∞ limits are the zeros of pseudo-Jacobi polynomials.
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