Non-Commutative Stochastic Processes and Bi-Free Probability
Paul Skoufranis

TL;DR
This paper explores the relationship between bi-free probability and non-commutative stochastic processes, showing how bi-free tools can model transition operators and derive new formulas for processes with free increments.
Contribution
It introduces a novel application of bi-free probability to model non-commutative stochastic processes and derives new formulas for processes with free increments.
Findings
Transition operators modeled using bi-free probability
Recovered important examples with this approach
Derived new formulas for processes with free increments
Abstract
In this paper, a connection between bi-free probability and the theory of non-commutative stochastic processes is examined. Specifically it is demonstrated that the transition operators for non-commutative stochastic processes can be modelled using technology from bi-free probability. Several important examples are recovered with this approach and new formula are obtained for processes with free increments. The benefits of this approach are also discussed.
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Taxonomy
TopicsRandom Matrices and Applications · Quantum Mechanics and Applications · Statistical Mechanics and Entropy
