Infinite-dimensional -Jacobi Markov processes

  • Grigori Olshanski

    Skolkovo Institute of Science and Technology, Moscow, Russia; HSE University, Moscow, Russia
Infinite-dimensional $q$-Jacobi Markov processes cover

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Abstract

The classical Jacobi polynomials on the interval are eigenfunctions of a second-order differential operator. It is well known that this operator generates a diffusion process on . Further, this fact admits an extension to  dimensions (Demni, 2010; Remling–Rösler, 2011) leading to a -parameter family of diffusion processes on the space of -particle configurations in . The generators of the processes are related to Heckman–Opdam’s Jacobi polynomials attached to the root system . The first result of the paper shows that the processes  have a -analog, the -dimensional -Jacobi processes. These are Feller Markov processes related to the -variate symmetric big -Jacobi polynomials. The latter polynomials were introduced and studied by Stokman (1997) and Stokman–Koornwinder (1997); they depend on two Macdonald parameters and  extra continuous parameters. The -dimensional -Jacobi processes are still defined on a space of -particle configurations, except that now the particles live not on but on certain one-dimensional -grids. The second result (the main one) asserts that the -dimensional -Jacobi processes survive a limit transition as  goes to infinity and two of the extra parameters vary together with  in a certain way. In the limit, one obtains a family of Feller Markov processes which are infinite dimensional in the sense that they live on configurations with infinitely many particles. The proof uses a lifting of the multivariate big -Jacobi polynomials to the algebra of symmetric functions – a construction that does not hold for the Heckman–Opdam Jacobi polynomials. Note also that the large- limit transition is carried out without any space scaling, which would be impossible in the continuous case.

Cite this article

Grigori Olshanski, Infinite-dimensional -Jacobi Markov processes. Groups Geom. Dyn. (2026), published online first

DOI 10.4171/GGD/1013