Bimonotone Brownian Motion
Malte Gerhold

TL;DR
This paper introduces bi-monotone independence, establishes a central limit theorem for it, and explores the properties of bi-monotone Brownian motion, a two-dimensional process combining monotone and antimonotone Brownian motions.
Contribution
It defines bi-monotone independence, proves a central limit theorem for it, and studies the resulting bi-monotone Brownian motion, advancing non-commutative probability theory.
Findings
Bi-monotone independence is formally defined.
A central limit theorem for bi-monotone independence is proved.
Distributional properties of bi-monotone Brownian motion are analyzed.
Abstract
We define bi-monotone independence, prove a bi-monotone central limit theorem and use it to study the distribution of bi-monotone Brownian motion, which is defined as the two-dimensional operator process with monotone and antimonotone Brownian motion as components.
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Taxonomy
TopicsStochastic processes and financial applications
