Year: 2024
Type: article
Abstract: We establish a Central Limit Theorem for tensor product random variables c Subscript k Baseline colon equals a Subscript k Baseline circled times a Subscript k Baseline $c_k:=a_k \otimes a_k$ c k : = a k ⊗ a k , where left parenthesis a Subscript k Baseline right parenthesis Subscript k element of double struck upper N $(a_k)_{k \in \mathbb {N}}$ ( a k ) k ∈ N is a free family of variables. We show that if the variables a Subscript k $a_k$ a k are centered, the limiting law is the semi-circle. Otherwise, the limiting law depends on the mean and variance of the variables a Subscript k $a_k$ a k and corresponds to a free interpolation between the semi-circle law and the classical convolution of two semi-circle laws.
Source: Canadian Journal of Mathematics
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4396600886
