2014
DOI: 10.1007/s00440-014-0596-2
|View full text |Cite
|
Sign up to set email alerts
|

Multilevel Dyson Brownian motions via Jack polynomials

Abstract: We introduce multilevel versions of Dyson Brownian motions of arbitrary parameter β > 0, generalizing the interlacing reflected Brownian motions of Warren for β = 2. Such processes unify β corners processes and Dyson Brownian motions in a single object. Our approach is based on the approximation by certain multilevel discrete Markov chains of independent interest, which are defined by means of Jack symmetric polynomials. In particular, this approach allows to show that the levels in a multilevel Dyson Brownian… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

5
57
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 45 publications
(62 citation statements)
references
References 43 publications
(112 reference statements)
5
57
0
Order By: Relevance
“…When β = 1, that is in the case of real symmetric random matrices, an asymptotic connection to TASEP of a similar type as above is known (see [Ss], [BFPS], [FSW] and also [PrSp], [BR]), but this case is much less understood conceptually. In addition, while many of the studied particle systems have far reaching generalizations (see [BC], [BG], [BP], [BP] and [GS2]), the interactions between particles are non-local for the range of parameters corresponding to general β random matrix models. Naively, one might conclude that there are no connections between general β random matrix models and interacting particle systems with local interactions.…”
Section: Introductionmentioning
confidence: 99%
“…When β = 1, that is in the case of real symmetric random matrices, an asymptotic connection to TASEP of a similar type as above is known (see [Ss], [BFPS], [FSW] and also [PrSp], [BR]), but this case is much less understood conceptually. In addition, while many of the studied particle systems have far reaching generalizations (see [BC], [BG], [BP], [BP] and [GS2]), the interactions between particles are non-local for the range of parameters corresponding to general β random matrix models. Naively, one might conclude that there are no connections between general β random matrix models and interacting particle systems with local interactions.…”
Section: Introductionmentioning
confidence: 99%
“…For a rigorous construction of the analogous coupled process in the case of Dyson Brownian motions with β > 2, see Sect. 4 of [13]. In fact, for certain values of the parameters, the construction of the process with the generator above can be reduced to the results of [13] and a more detailed account will appear as part of the author's Ph.D. thesis [2].…”
Section: (N)mentioning
confidence: 99%
“…In fact, for certain values of the parameters, the construction of the process with the generator above can be reduced to the results of [13] and a more detailed account will appear as part of the author's Ph.D. thesis [2]. As just mentioned, such a coupling was constructed for Dyson Brownian motion with β > 2 in [13] and in [3] (see also [23]) for copies of general one-dimensional diffusion processes, which in particular includes the squared Bessel (this corresponds to the Laguerre process of this note) and Jacobi cases for β = 2, when the interaction, between the two levels, entirely consists of local hard reflection and the transition kernels are explicit. Given such 2-level couplings, one can then iterate to construct a multilevel process in a Gelfand-Tsetlin pattern, as in [25] which initiated this program (see also [13], [19], [3]).…”
Section: (N)mentioning
confidence: 99%
See 2 more Smart Citations