An analogue of the L\'{e}vy-Hin\v{c}in formula for bi-free infinitely divisible distributions
Yinzheng Gu, Hao-Wei Huang, and James A. Mingo

TL;DR
This paper extends the classical Lévy-Hinčin formula to the bi-free probability setting, characterizing bi-free infinitely divisible distributions and constructing related processes.
Contribution
It introduces a bi-free Lévy-Hinčin formula, provides examples, and constructs bi-free Lévy processes and convolution semigroups.
Findings
Derived the bi-free Lévy-Hinčin formula for compactly supported measures
Provided explicit examples of bi-free infinitely divisible distributions
Constructed bi-free Lévy processes and convolution semigroups
Abstract
In this paper, we derive the bi-free analogue of the L\'{e}vy-Hin\v{c}in formula for compactly supported planar probability measures which are infinitely divisible with respect to the additive bi-free convolution introduced by Voiculescu. We also provide examples of bi-free infinitely divisible distributions with their bi-free L\'{e}vy-Hin\v{c}in representations. Furthermore, we construct the bi-free L\'{e}vy processes and the additive bi-free convolution semigroups generated by compactly supported planar probability measures.
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and financial applications · Stochastic processes and statistical mechanics
