Logo image
Realizations and Factorizations of Positive Definite Kernels
Journal article   Peer reviewed

Realizations and Factorizations of Positive Definite Kernels

Palle Jorgensen and Feng Tian
Journal of Theoretical Probability, Vol.32(4), pp.1925-1942
12/2019
DOI: 10.1007/s10959-018-0868-3

View Online

Abstract

Given a fixed sigma-finite measure space $$\left( X,\mathscr {B},\nu \right) $$ X , B , ν , we shall study an associated family of positive definite kernels K. Their factorizations will be studied with view to their role as covariance kernels of a variety of stochastic processes. In the interesting cases, the given measure $$\nu $$ ν is infinite, but sigma-finite. We introduce such positive definite kernels $$K\left( \cdot ,\cdot \right) $$ K · , · with the two variables from the subclass of the sigma-algebra $$\mathscr {B}$$ B whose elements are sets with finite $$\nu $$ ν measure. Our setting and results are motivated by applications. The latter are covered in the second half of the paper. We first make precise the notions of realizations and factorizations for K, and we give necessary and sufficient conditions for K to have realizations and factorizations in $$L^{2}\left( \nu \right) $$ L 2 ν . Tools in the proofs rely on probability theory and on spectral theory for unbounded operators in Hilbert space. Applications discussed here include the study of reversible Markov processes, and realizations of Gaussian fields, and their Ito-integrals.
Harmonic Analysis Mathematics 65R10 Reproducing kernel Hilbert space 31C20 Probability Theory and Stochastic Processes Statistics, general Generalized Ito integration Covariance Gaussian free fields Primary 47L60 42C15 46N30

Details

Metrics

Logo image