Recursive tree processes and the mean-field limit of stochastic flows
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F20%3A00524245" target="_blank" >RIV/67985556:_____/20:00524245 - isvavai.cz</a>
Result on the web
<a href="https://projecteuclid.org/journals/electronic-journal-of-probability/volume-25/issue-none/Recursive-tree-processes-and-the-mean-field-limit-of-stochastic/10.1214/20-EJP460.full" target="_blank" >https://projecteuclid.org/journals/electronic-journal-of-probability/volume-25/issue-none/Recursive-tree-processes-and-the-mean-field-limit-of-stochastic/10.1214/20-EJP460.full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1214/20-EJP460" target="_blank" >10.1214/20-EJP460</a>
Alternative languages
Result language
angličtina
Original language name
Recursive tree processes and the mean-field limit of stochastic flows
Original language description
Interacting particle systems can often be constructed from a graphical representation, by applying local maps at the times of associated Poisson processes. This leads to a natural coupling of systems started in different initial states. We consider interacting particle systems on the complete graph in the mean-field limit, i.e., as the number of vertices tends to infinity. We are not only interested in the mean-field limit of a single process, but mainly in how several coupled processes behave in the limit. This turns out to be closely related to recursive tree processes as studied by Aldous and Bandyopadyay in discrete time. We here develop an analogue theory for recursive tree processes in continuous time. We illustrate the abstract theory on an example of a particle system with cooperative branching. This yields an interesting new example of a recursive tree process that is not endogenous.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA16-15238S" target="_blank" >GA16-15238S: Collective behavior of large stochastic systems</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Electronic Journal of Probability
ISSN
1083-6489
e-ISSN
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Volume of the periodical
25
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
63
Pages from-to
61
UT code for WoS article
000532409600001
EID of the result in the Scopus database
2-s2.0-85085067190