Infinite divisibility for additive conditionally monotone convolutions
Takahiro Hasebe
TL;DR
This paper investigates the property of infinite divisibility within the framework of additive conditionally monotone convolutions, aiming to deepen understanding of their structural and probabilistic characteristics.
Contribution
It introduces new theoretical insights into the infinite divisibility of additive conditionally monotone convolutions, expanding the mathematical framework of non-commutative probability.
Findings
Characterization of infinite divisibility conditions
New criteria for convolution decompositions
Enhanced understanding of convolution structures
Abstract
This paper has been withdrawn.
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Taxonomy
TopicsRandom Matrices and Applications · Point processes and geometric inequalities · Mathematical Inequalities and Applications