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Probability Theory and Related Fields
Article . 2005 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2004
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Markov processes on partitions

Authors: Alexei Borodin; Grigori Olshanski;

Markov processes on partitions

Abstract

We introduce and study a family of Markov processes on partitions. The processes preserve the so-called z-measures on partitions previously studied in connection with harmonic analysis on the infinite symmetric group. We show that the dynamical correlation functions of these processes have determinantal structure and we explicitly compute their correlation kernels. We also compute the scaling limits of the kernels in two different regimes. The limit kernels describe the asymptotic behavior of large rows and columns of the corresponding random Young diagrams, and the behavior of the Young diagrams near the diagonal. Our results show that recently discovered analogy between random partitions arising in representation theory and spectra of random matrices extends to the associated time-dependent models.

AMSTeX, 73 pages

Keywords

Probability (math.PR), FOS: Mathematics, FOS: Physical sciences, Mathematical Physics (math-ph), Representation Theory (math.RT), Mathematical Physics, Mathematics - Probability, Mathematics - Representation Theory

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citations
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!
39
Average
Top 10%
Top 10%
Green
bronze