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Existence of Law Density of a Pair (d-dimensional Diffusion X, First Component Running Maximum M) with Coefficients Depending on (X, M), d > 1

Received: 2 February 2026     Accepted: 24 February 2026     Published: 18 March 2026
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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.

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

Keywords

Running Supremum Process, Joint Law Density, Malliavin Calculus

References
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[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),
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[8] L. Coutin, W. Ngom, M. Pontier, Joint distribution of a Lévy process and its running supremum, Journal of Applied Probability, 55.2 (2018)
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[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.
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    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

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    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

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    AMA 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

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  • @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}
    }
    

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  • 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
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    JF  - American Journal of Applied Mathematics
    JO  - American Journal of Applied Mathematics
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    PB  - Science Publishing Group
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    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.
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