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1. CMB 2008 (vol 51 pp. 26)
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Hin\v cin's Theorem for Multiplicative Free Convolution Hin\v cin proved that any limit law, associated with a triangular
array of infinitesimal random variables, is infinitely divisible.
The analogous result for additive free convolution was proved earlier by
Bercovici and Pata.
In this paper we will prove corresponding results for the multiplicative
free convolution of measures definded on the unit circle and on the
positive half-line.
Categories:46L53, 60E07, 60E10 |
2. CMB 1999 (vol 42 pp. 344)
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Positive Definite Distributions and Subspaces of $L_p$ With Applications to Stable Processes We define embedding of an $n$-dimensional normed space into
$L_{-p}$, $0 Categories:42A82, 46B04, 46F12, 60E07 |