Funktsional'nyi Analiz i ego Prilozheniya
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Forthcoming papers
Archive
Impact factor
Submit a manuscript

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Funktsional. Anal. i Prilozhen.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Funktsional'nyi Analiz i ego Prilozheniya, 2016, Volume 50, Issue 2, Pages 31–60
DOI: https://doi.org/10.4213/faa3240
(Mi faa3240)
 

This article is cited in 8 scientific papers (total in 8 papers)

Extended Gelfand–Tsetlin Graph, Its $q$-Boundary, and $q$-B-Splines

G. I. Olshanskiiab

a National Research University "Higher School of Economics" (HSE)
b Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute)
Full-text PDF (365 kB) Citations (8)
References:
Abstract: The boundary of the Gelfand–Tsetlin graph is an infinite-dimensional locally compact space whose points parameterize the extreme characters of the infinite-dimensional group $U(\infty)$. The problem of harmonic analysis on the group $U(\infty)$ leads to a continuous family of probability measures on the boundary—the so-called zw-measures. Recently Vadim Gorin and the author have begun to study a $q$-analogue of the zw-measures. It turned out that constructing them requires introducing a novel combinatorial object, the extended Gelfand–Tsetlin graph. In the present paper it is proved that the Markov kernels connected with the extended Gelfand–Tsetlin graph and its $q$-boundary possess the Feller property. This property is needed for constructing a Markov dynamics on the $q$-boundary. A connection with the B-splines and their $q$-analogues is also discussed.
Keywords: Gelfand–Tsetlin graph, Markov kernels, Feller property, B-splines.
Funding agency Grant number
Russian Science Foundation 14-50-00150
The present research was carried out at the Institute for Information Transmission Problems of the Russian Academy of Sciences at the expense of the Russian Science Foundation (project 14-50-00150).
Received: 17.01.2016
English version:
Functional Analysis and Its Applications, 2016, Volume 50, Issue 2, Pages 107–130
DOI: https://doi.org/10.1007/s10688-016-0136-1
Bibliographic databases:
Document Type: Article
UDC: 519.217.72+519.651
Language: Russian
Citation: G. I. Olshanskii, “Extended Gelfand–Tsetlin Graph, Its $q$-Boundary, and $q$-B-Splines”, Funktsional. Anal. i Prilozhen., 50:2 (2016), 31–60; Funct. Anal. Appl., 50:2 (2016), 107–130
Citation in format AMSBIB
\Bibitem{Ols16}
\by G.~I.~Olshanskii
\paper Extended Gelfand--Tsetlin Graph, Its $q$-Boundary, and $q$-B-Splines
\jour Funktsional. Anal. i Prilozhen.
\yr 2016
\vol 50
\issue 2
\pages 31--60
\mathnet{http://mi.mathnet.ru/faa3240}
\crossref{https://doi.org/10.4213/faa3240}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=3525680}
\elib{https://elibrary.ru/item.asp?id=26414215}
\transl
\jour Funct. Anal. Appl.
\yr 2016
\vol 50
\issue 2
\pages 107--130
\crossref{https://doi.org/10.1007/s10688-016-0136-1}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000384419600003}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84975784205}
Linking options:
  • https://www.mathnet.ru/eng/faa3240
  • https://doi.org/10.4213/faa3240
  • https://www.mathnet.ru/eng/faa/v50/i2/p31
  • This publication is cited in the following 8 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Функциональный анализ и его приложения Functional Analysis and Its Applications
    Statistics & downloads:
    Abstract page:479
    Full-text PDF :82
    References:76
    First page:24
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024