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Advances in Applied Probability
Article . 2016 . Peer-reviewed
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Article . 2016
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https://dx.doi.org/10.48550/ar...
Article . 2015
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Coupling the Kolmogorov diffusion: maximality and efficiency considerations

Authors: Banerjee, Sayan; Kendall, W. S.;

Coupling the Kolmogorov diffusion: maximality and efficiency considerations

Abstract

AbstractThis is a case study concerning the rate at which probabilistic coupling occurs for nilpotent diffusions. We focus on the simplest case of Kolmogorov diffusion (Brownian motion together with its time integral or, more generally, together with a finite number of iterated time integrals). We show that in this case there can be no Markovian maximal coupling. Indeed, there can be no efficient Markovian coupling strategy (efficient for all pairs of distinct starting values), where the notion of efficiency extends the terminology of Burdzy and Kendall (2000). Finally, at least in the classical case of a single time integral, it is not possible to choose a Markovian coupling that is optimal in the sense of simultaneously minimizing the probability of failing to couple by time t for all positive t. In recompense for all these negative results, we exhibit a simple efficient non-Markovian coupling strategy.

Keywords

Kolmogorov diffusion, reflection coupling, Karhunen-Loève expansion, nilpotent diffusion, Probability (math.PR), optimal Markovian coupling, immersed coupling, Foundations of stochastic processes, synchronous coupling, FOS: Mathematics, maximal coupling, Markovian coupling, QA, Diffusion processes, Mathematics - Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Average
Green
bronze