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
Link To Document :
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