Title of article
Strict limit types for monotone convolution
Author/Authors
Jiun-Chau Wang، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2012
Pages
24
From page
35
To page
58
Abstract
We introduce the notion of strict domain of attraction in the context of monotone probability theory and
prove that a law has a nonempty strict domain of attraction if and only if it is strictly stable. We also show
that the monotonic weak law of large numbers is equivalent to the classical and the free weak laws of large
numbers. Finally, a necessary condition for a measure μ to belong to the strict domain of attraction of
a nondegenerate strictly stable law is given in terms of the absolute moments of μ.
© 2011 Elsevier Inc. All rights reserved.
Keywords
Monotone convolution , Strictly stable law , domain of attraction , Bercovici–Pata bijection , Weak law oflarge numbers
Journal title
Journal of Functional Analysis
Serial Year
2012
Journal title
Journal of Functional Analysis
Record number
840605
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