Uniqueness conjecture for k-symmetric multiplicatively stable distributions

Let k>2k>2. A probability measure is kk-symmetric if it has the kk-fold rotational symmetry used in the paper, and \boxtimes denotes free multiplicative convolution. For 0<α10<\alpha\leq 1, let σβk=wkνα\sigma^k_\beta=w_k\boxtimes\nu_\alpha, where β=kαα+kkα\beta=\frac{k\alpha}{\alpha+k-k\alpha}, as in Theorem 1.

Uniqueness conjecture. The measures σβk\sigma^k_\beta are the only kk-symmetric \boxtimes-stable distributions.

The conjecture asserts that the explicitly constructed family exhausts the kk-symmetric multiplicatively stable laws when k>2k>2. Its resolution is not given in the supplied text.

Sources & referencesView supporting material

Primary source

Octavio Arizmendi, “k-Divisible random variables in free probability”, arXiv:1203.4780 (2012).

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