Abstract polynomial processes
Fred Espen Benth, Nils Detering, Paul Kruhner

TL;DR
This paper introduces a flexible, operator-based framework for analyzing polynomial processes on general state spaces, extending beyond Banach spaces and characterizing affine drift and covariance structures.
Contribution
It develops a novel polynomial action operator approach that generalizes polynomial processes to broader spaces and provides new characterizations of their structure.
Findings
Universal affine drift property for polynomial processes.
Framework applies to general state spaces, including Banach spaces.
Characterization of covariance structures under certain conditions.
Abstract
We suggest a novel approach to polynomial processes solely based on a polynomial action operator. With this approach, we can analyse such processes on general state spaces, going far beyond Banach spaces. Moreover, we can be very flexible in the definition of what "polynomial" means. We show that "polynomial process" universally means "affine drift". Simple assumptions on the polynomial action operators lead to stronger characterisations on the polynomial class of processes. In our framework we do not need to specify polynomials explicitly but can work with a general sequence of graded vector spaces of functions on the state space. Elements of these graded vector spaces form the monomials by introducing a sequence of vector space complements. The basic tool of our analysis is the polynomial action operator, which is a semigroup of operators mapping conditional expected values of…
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Advanced Queuing Theory Analysis · Stochastic processes and financial applications
