A H\"ormander-Fock space
Daniel Alpay, Fabrizio Colombo, Kamal Diki, Irene Sabadini, Daniele C., Struppa

TL;DR
This paper introduces the H"ormander-Fock space, a new reproducing kernel Hilbert space characterized by a specific moment sequence and entire function, with applications to the bla problem and stochastic processes.
Contribution
It defines and investigates the properties of the H"ormander-Fock space, linking it to polyanalytic functions, kernel functions, and stochastic process theory.
Findings
Characterization of the H"ormander-Fock space via a moment sequence and entire function
Explicit kernel function expression for the space
Application of Bochner-Minlos theorem to a special function in the space
Abstract
In a recent paper we used a basic decomposition property of polyanalytic functions of order in one complex variable to characterize solutions of the classical -problem for given analytic and polyanalytic data. Our approach suggested the study of a special reproducing kernel Hilbert space that we call the H\"ormander-Fock space that will be further investigated in this paper. The main properties of this space are encoded in a specific moment sequence denoted by leading to a special entire function that is used to express the kernel function of the H\"ormander-Fock space. We present also an example of a special function belonging to the class ML introduced recently by Alpay et al. and apply a Bochner-Minlos type theorem to this function, thus motivating further connections with the theory of stochastic processes.
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Taxonomy
TopicsStochastic processes and financial applications · Quantum Mechanics and Applications · Random Matrices and Applications
