Polynomial diffusions on compact quadric sets

Martin Larsson and Sergio Pulido

Stochastic Processes and their Applications, 2017, vol. 127, issue 3, 901-926

Abstract: Polynomial processes are defined by the property that conditional expectations of polynomial functions of the process are again polynomials of the same or lower degree. Many fundamental stochastic processes, including affine processes, are polynomial, and their tractable structure makes them important in applications. In this paper we study polynomial diffusions whose state space is a compact quadric set. Necessary and sufficient conditions for existence, uniqueness, and boundary attainment are given. The existence of a convenient parameterization of the generator is shown to be closely related to the classical problem of expressing nonnegative polynomials–specifically, biquadratic forms vanishing on the diagonal–as a sum of squares. We prove that in dimension d≤4 every such biquadratic form is a sum of squares, while for d≥6 there are counterexamples. The case d=5 remains open. An equivalent probabilistic description of the sum of squares property is provided, and we show how it can be used to obtain results on pathwise uniqueness and existence of smooth densities.

Keywords: Polynomial diffusion; Sums of squares; Biquadratic forms; Stochastic invariance; Pathwise uniqueness; Smooth densities (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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DOI: 10.1016/j.spa.2016.07.004

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