
TL;DR
This paper introduces higher order infinitesimal noncommutative probability spaces and cumulants, generalizing infinitesimal freeness, and provides methods to compute derivatives of free convolutions for time-indexed distributions.
Contribution
It defines higher order infinitesimal freeness, develops related cumulants and partitions, and applies these concepts to compute derivatives of free convolutions.
Findings
Defined higher order infinitesimal noncommutative probability spaces
Generalized infinitesimal freeness to higher orders
Provided a method to compute derivatives of free convolutions
Abstract
We define higher order infinitesimal noncommutative probability space and infinitesimal non-crossing cumulant functionals. In this framework, we generalize to higher order the notion of infinitesimal freeness, via a vanishing of mixed cumulants condition. We also introduce and study some non-crossing partitions related to this notion. Finally, as an application, we show how to compute the successive derivatives of the free convolution of two time-indexed families of distributions from their individual derivatives.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
