PDE for the joint law of the pair of a continuous diffusion and its running maximum
Laure Coutin (IMT), Monique Pontier (IMT)

TL;DR
This paper derives a PDE characterizing the joint density of a diffusion process's first component and its running maximum, providing a mathematical framework for understanding their joint distribution.
Contribution
It establishes that the joint density of the diffusion's maximum and the process itself solves a specific Fokker-Planck PDE, extending previous results to a multidimensional setting.
Findings
Joint density satisfies a Fokker-Planck PDE
Provides integral expansion for the density
Applicable to multidimensional diffusions
Abstract
Let X be a d-dimensional diffusion and M the running supremum of its first component. In this paper, we show that for any t > 0, the density (with respect to the d + 1-dimensional Lebesgue measure) of the pair (Mt, Xt) is a weak solution of a Fokker-Planck partial differential equation on the closed set {(m, x) R d+1, m x 1}, using an integral expansion of this density.
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Advanced Mathematical Modeling in Engineering
