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PDE for the joint law of the pair of a continuous diffusion and its running maximum

Part of: Stochastic analysis Stochastic processes Markov processes

Published online by Cambridge University Press:  10 July 2023

Laure Coutin  and
Monique Pontier Open the ORCID record for Monique Pontier [Opens in a new window]
Laure Coutin*
Affiliation:
Institut de Mathématiques de Toulouse
Monique Pontier*
Affiliation:
Institut de Mathématiques de Toulouse
*
*Postal address: Institut de Mathématiques de Toulouse, Université Paul Sabatier, 31062 Toulouse CEDEX, France.
*Postal address: Institut de Mathématiques de Toulouse, Université Paul Sabatier, 31062 Toulouse CEDEX, France.
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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 $\big(M_t,X_t\big)$ is a weak solution of a Fokker–Planck partial differential equation on the closed set $\big\{(m,x)\in \mathbb{R}^{d+1},\,{m\geq x^1}\big\},$ using an integral expansion of this density.

Keywords

Diffusion processpartial differential equationrunning supremum processjoint law

MSC classification

Primary: 60J60: Diffusion processes
Secondary: 60G70: Extreme value theory; extremal processes 60H10: Stochastic ordinary differential equations
Type
Original Article
Information
Advances in Applied Probability , Volume 55 , Issue 4 , December 2023 , pp. 1171 - 1210
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Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Applied Probability Trust

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