Markov dynamics on the Thoma cone: A model of time-dependent determinantal processes with infinitely many particles

Alexei Borodin, Grigori Olshanski

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


The Thoma cone is an infinite-dimensional locally compact space, which is closely related to the space of extremal characters of the infinite symmetric group S. In another context, the Thoma cone appears as the set of parameters for totally positive, upper triangular Toeplitz matrices of infinite size. The purpose of the paper is to construct a family {X(z;z')} of continuous time Markov processes on the Thoma cone, depending on two continuous parameters z and z'. Our construction largely exploits specific properties of the Thoma cone related to its representation-theoretic origin, although we do not use representations directly. On the other hand, we were inspired by analogies with random matrix theory coming from models of Markov dynamics related to orthogonal polynomial ensembles. We show that processes X(z;z') possess a number of nice properties, namely: (1) every X(z;z') is a Feller process; (2) the infinitesimal generator of X(z;z'), its spectrum, and the eigenfunctions admit an explicit description; (3) in the equilibrium regime, the finite-dimensional distributions of X(z;z') can be interpreted as (the laws of) infinite-particle systems with determinantal correlations; (4) the corresponding time-dependent correlation kernel admits an explicit expression, and its structure is similar to that of time-dependent correlation kernels appearing in random matrix theory.

Original languageEnglish
Article number75
JournalElectronic Journal of Probability
Publication statusPublished - 2013
Externally publishedYes


  • Determinantal processes
  • Feller processes
  • Laguerre polynomials
  • Markov intertwiners
  • Meixner polynomials
  • Thoma cone
  • Thoma simplex


Dive into the research topics of 'Markov dynamics on the Thoma cone: A model of time-dependent determinantal processes with infinitely many particles'. Together they form a unique fingerprint.

Cite this