Laguerre and Meixner symmetric functions, and infinite-dimensional diffusion processes
Grigori Olshanski

TL;DR
This paper introduces Laguerre and Meixner symmetric functions, explores their connection to infinite-dimensional diffusion processes, and analyzes their properties, including eigenvectors, approximation methods, and determinantal correlation functions.
Contribution
It develops new Laguerre and Meixner symmetric functions, links them to infinite-dimensional diffusions, and provides explicit formulas for their correlation functions.
Findings
Laguerre symmetric functions form an inhomogeneous basis in symmetric functions.
The diffusion process X(t) has Laguerre functions as eigenvectors.
Equilibrium correlations are determinantal, given by the extended Whittaker kernel.
Abstract
The Laguerre symmetric functions introduced in the note are indexed by arbitrary partitions and depend on two continuous parameters. The top degree homogeneous component of every Laguerre symmetric function coincides with the Schur function with the same index. Thus, the Laguerre symmetric functions form a two-parameter family of inhomogeneous bases in the algebra of symmetric functions. These new symmetric functions are obtained from the N-variate symmetric polynomials of the same name by a procedure of analytic continuation. The Laguerre symmetric functions are eigenvectors of a second order differential operator, which depends on the same two parameters and serves as the infinitesimal generator of an infinite-dimensional diffusion process X(t). The process X(t) admits approximation by some jump processes related to one more new family of symmetric functions, the Meixner symmetric…
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