The purpose of this paper is to consider a stochastic differential equation guiding X a continuous d-dimensional diffusion process, the coefficients of which depending on the pair (X, M) , where M is the running supremum of the first component X1. As an application of our work, we could think of a firm the activity of which is characterized by a set of processes (X1,···, Xd). But one of them, for instance X1, could be linked to an alarm. Such a (d + 1)- dimensional process (X, M) could present a crucial interest in this case where M could be an alarm. Indeed, the possibility of an alarm at time t namely the event {∃s ≤ t : X1s > u} is identical to the event {Mt> u} > when the specific (and dangerous) threshold u is exceeded. This means that the law of M is closely linked to the law of the hitting time when X1 reaches such a dangerous level u. Here is proved that, for all positive real number t; the law of the (d+1)-dimensional random vector (Xt, Mt) admits a density with respect to the Lebesgue measure. The solution of such a stochastic differential equation is built using a recursion method. The existence of the density of the law of (X, M) is based on Malliavin calculus. This density is solution of a partial differential equation in a weak sense. Moreover, such a recursive construction will allow to build simulated solutions. So finally such a tool could allow us to build an alarm system to detect the hitting time when the alarm could occur.
| Published in | American Journal of Applied Mathematics (Volume 14, Issue 2) |
| DOI | 10.11648/j.ajam.20261402.13 |
| Page(s) | 53-65 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Running Supremum Process, Joint Law Density, Malliavin Calculus
| [1] | L. Alili, P. Patie, J. L. Pedersen, Representations of the first hitting time density of an Ornstein-Uhlenbeck process. Stoch. Models (21), no. 4 (2005), 967-980. |
| [2] | J. M. Azaїs, M. Wschebor, On the regularity of the distribution of the maximum of one-parameter Gaussian processes. Probab. Th. Rel. Fields 119 (2001), no. 1, 70- 98. |
| [3] | Téo Balauze, Existence of a density for solutions of stochastic differential equations with trajectory dependant coefficients, Report, M2 Reserch and Innovation, advisor Laure Coutin, Toulouse University. |
| [4] | H. Brown, D. Hobson, L. C. G. Rogers, Robust hedging of barrier options. Math. Finance 11 (2001), 285-314. |
| [5] | L. Coutin and D. Dorobantu, First passage time law for some Lévy processes with compound Poisson: existence of a density. Bernoulli 17, no. 4 (2011), 1127-1135. |
| [6] | L. Coutin, M. Pontier, PDE for joint law of the pair of a continuous diffusion and its running maximum, (2017), |
| [7] | L. Coutin, M. Pontier, Existence and regularity of law dansity of a pair (diffusion, first running maximum (2019) |
| [8] | L. Coutin, W. Ngom, M. Pontier, Joint distribution of a Lévy process and its running supremum, Journal of Applied Probability, 55.2 (2018) |
| [9] | A. M. G. Cox, J. Obloj , Robust pricing and hedging of double no-touch options. Finance Stochast. 15 (2011),573- 605. |
| [10] | R. A. Doney, A. E. Kyprianou, Overshoots and undershoots of Lévy processes. Ann. Appl. Probab. 16, no. 1 (2006), 91-106. |
| [11] | M. Duembgen, L. C. G. Rogers, The joint law of the extrema, final value and signature of a stopped random walk, Séminaire de Probabilités XLVII, L. N. in Mathematics Vol. 2137 (2015), 321-338. |
| [12] | M. Hayashi and A. Kohatsu-Higa, Smoothness of the distribution of the supremum of a multi-dimensional diffusion process, Potential Analysis, 38/1, (2013) pp.57- 77. |
| [13] | S. Herrmann and E. Tanré, The first-passage time of the Brownian motion to a curved boundary: an algorithmic approach, SIAM Journal on Scientific Computing, 38, no. 1 (2016), A196-A215. |
| [14] | S. Herrmann and C. Zucca, Exact simulation of the first-passage time of diffusions, (2018), submitted. |
| [15] | N. Ikeda, S. Watanabe, Stochastic Differential Equations and Diffusion Processes, second edition North Holland,(1989) |
| [16] | M. Jeanblanc, M. Yor, M. Chesney, Mathematical Methods for Financial Markets, Springer, 2009. |
| [17] | I. Karatzas and S. E. Schreve, Brownian Motion and Stochastic calculus, Springer, 1999. |
| [18] | A. Lagnoux, S. Mercier, P. Vallois, Probability that the maximum of the reflected Brownian motion over a finite interval [0, t] is achieved by its last zero before t. Electron. Commun. Probab. 20, no. 62, (2015) 9 pages. |
| [19] | T. Nakatsu, Absolute continuity of the laws of a multi-dimensional stochastic differential equation with coefficients dependent on the maximum. Statist. Probab. Lett. 83 (2013), no. 11, 2499-2506. |
| [20] | W. Ngom Thesis: Contributions to the study of the default time of a Lévy process under complete and incomplete observation, IMT, 2016. |
| [21] | D. Nualart, The Malliavin Calculus and Related Topics Second Edition, Springer-Verlag New-York, 2006. |
| [22] | A. Revuz, M. Yor, Continuous Martingales and Brownian Motion, Third edition, Springer Verlag, 2004. |
| [23] | L. C. G. Rogers, The joint law of the maximum and terminal value of a martingale, Probability Theory and Related Fields 95(4) (1993), 451-466. |
| [24] | B. Roynette, P. Vallois, A. Volpi, Asymptotic behavior of the passage time, overshoot and undershoot for some Lévy processes ESAIM PS VOL. 12, (2008), pp. 58-93. |
APA Style
Téo, B., Monique, P. (2026). Existence of Law Density of a Pair (d-dimensional Diffusion X, First Component Running Maximum M) with Coefficients Depending on (X, M), d > 1. American Journal of Applied Mathematics, 14(2), 53-65. https://doi.org/10.11648/j.ajam.20261402.13
ACS Style
Téo, B.; Monique, P. Existence of Law Density of a Pair (d-dimensional Diffusion X, First Component Running Maximum M) with Coefficients Depending on (X, M), d > 1. Am. J. Appl. Math. 2026, 14(2), 53-65. doi: 10.11648/j.ajam.20261402.13
@article{10.11648/j.ajam.20261402.13,
author = {Balauze Téo and Pontier Monique},
title = {Existence of Law Density of a Pair (d-dimensional Diffusion X, First Component Running Maximum M) with Coefficients Depending on (X, M), d > 1
},
journal = {American Journal of Applied Mathematics},
volume = {14},
number = {2},
pages = {53-65},
doi = {10.11648/j.ajam.20261402.13},
url = {https://doi.org/10.11648/j.ajam.20261402.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20261402.13},
abstract = {The purpose of this paper is to consider a stochastic differential equation guiding X a continuous d-dimensional diffusion process, the coefficients of which depending on the pair (X, M) , where M is the running supremum of the first component X1. As an application of our work, we could think of a firm the activity of which is characterized by a set of processes (X1,···, Xd). But one of them, for instance X1, could be linked to an alarm. Such a (d + 1)- dimensional process (X, M) could present a crucial interest in this case where M could be an alarm. Indeed, the possibility of an alarm at time t namely the event {∃s ≤ t : X1s > u} is identical to the event {Mt> u} > when the specific (and dangerous) threshold u is exceeded. This means that the law of M is closely linked to the law of the hitting time when X1 reaches such a dangerous level u. Here is proved that, for all positive real number t; the law of the (d+1)-dimensional random vector (Xt, Mt) admits a density with respect to the Lebesgue measure. The solution of such a stochastic differential equation is built using a recursion method. The existence of the density of the law of (X, M) is based on Malliavin calculus. This density is solution of a partial differential equation in a weak sense. Moreover, such a recursive construction will allow to build simulated solutions. So finally such a tool could allow us to build an alarm system to detect the hitting time when the alarm could occur.},
year = {2026}
}
TY - JOUR
T1 - Existence of Law Density of a Pair (d-dimensional Diffusion X, First Component Running Maximum M) with Coefficients Depending on (X, M), d > 1
AU - Balauze Téo
AU - Pontier Monique
Y1 - 2026/03/18
PY - 2026
N1 - https://doi.org/10.11648/j.ajam.20261402.13
DO - 10.11648/j.ajam.20261402.13
T2 - American Journal of Applied Mathematics
JF - American Journal of Applied Mathematics
JO - American Journal of Applied Mathematics
SP - 53
EP - 65
PB - Science Publishing Group
SN - 2330-006X
UR - https://doi.org/10.11648/j.ajam.20261402.13
AB - The purpose of this paper is to consider a stochastic differential equation guiding X a continuous d-dimensional diffusion process, the coefficients of which depending on the pair (X, M) , where M is the running supremum of the first component X1. As an application of our work, we could think of a firm the activity of which is characterized by a set of processes (X1,···, Xd). But one of them, for instance X1, could be linked to an alarm. Such a (d + 1)- dimensional process (X, M) could present a crucial interest in this case where M could be an alarm. Indeed, the possibility of an alarm at time t namely the event {∃s ≤ t : X1s > u} is identical to the event {Mt> u} > when the specific (and dangerous) threshold u is exceeded. This means that the law of M is closely linked to the law of the hitting time when X1 reaches such a dangerous level u. Here is proved that, for all positive real number t; the law of the (d+1)-dimensional random vector (Xt, Mt) admits a density with respect to the Lebesgue measure. The solution of such a stochastic differential equation is built using a recursion method. The existence of the density of the law of (X, M) is based on Malliavin calculus. This density is solution of a partial differential equation in a weak sense. Moreover, such a recursive construction will allow to build simulated solutions. So finally such a tool could allow us to build an alarm system to detect the hitting time when the alarm could occur.
VL - 14
IS - 2
ER -