Hostname: page-component-669899f699-b58lm Total loading time: 0 Render date: 2025-04-25T11:17:09.276Z Has data issue: false hasContentIssue false

Boundary crossing problems and functional transformations for Ornstein–Uhlenbeck processes

Published online by Cambridge University Press:  07 October 2024

Aria Ahari*
Affiliation:
University of Warwick
Larbi Alili*
Affiliation:
University of Warwick
Massimiliano Tamborrino*
Affiliation:
University of Warwick
*
*Postal address: Department of Statistics, Coventry, CV4 7AL, UK.
*Postal address: Department of Statistics, Coventry, CV4 7AL, UK.
***Email address: [email protected]

Abstract

We are interested in the law of the first passage time of an Ornstein–Uhlenbeck process to time-varying thresholds. We show that this problem is connected to the laws of the first passage time of the process to members of a two-parameter family of functional transformations of a time-varying boundary. For specific values of the parameters, these transformations appear in a realisation of a standard Ornstein–Uhlenbeck bridge. We provide three different proofs of this connection. The first is based on a similar result for Brownian motion, the second uses a generalisation of the so-called Gauss–Markov processes, and the third relies on the Lie group symmetry method. We investigate the properties of these transformations and study the algebraic and analytical properties of an involution operator which is used in constructing them. We also show that these transformations map the space of solutions of Sturm–Liouville equations into the space of solutions of the associated nonlinear ordinary differential equations. Lastly, we interpret our results through the method of images and give new examples of curves with explicit first passage time densities.

Type
Original Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Applied Probability Trust

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Alili, L. and Patie, P. (2010). Boundary-crossing identities for diffusions having the time-inversion property. J. Theoret. Prob. 23, 6584.CrossRefGoogle Scholar
Alili, L. and Patie, P. (2014). Boundary crossing identities for Brownian motion and some nonlinear ODE’s. Proc. Amer. Math. Soc. 142, 38113824.CrossRefGoogle Scholar
Alili, L., Patie, P. and Pedersen, J. L. (2005). Representations of the first hitting time density of an Ornstein–Uhlenbeck process. Stoch. Models 21, 967980.CrossRefGoogle Scholar
Anderson, J. and Pitt, L. D. (1997). Large time asymptotics for Brownian hitting densities of transient concave curves. J. Theoret. Prob. 10, 921934.CrossRefGoogle Scholar
Barczy, M. and Kern, P. (2013). Sample path deviations of the Wiener and the Ornstein–Uhlenbeck process from its bridges. Brazilian J. Prob. Statist. 27, 437466.CrossRefGoogle Scholar
Billingsley, P. (1986). Probability and Measure, 2nd edn. John Wiley, New York.Google Scholar
Bluman, G. W. (1971). Similarity solutions of the one-dimensional Fokker–Planck equation. Int. J. Nonlinear Mech. 6, 143153.CrossRefGoogle Scholar
Bluman, G. W. (1980). On the transformation of diffusion processes into the Wiener process. SIAM J. Appl. Math. 39, 238247.CrossRefGoogle Scholar
Bluman, G. W. and Cole, J. D. (1974). Similarity Methods for Differential Equations (Applied Mathematical Sciences 13). Springer, New York.CrossRefGoogle Scholar
Borodin, A. N. and Salminen, P. (2015). Handbook of Brownian Motion: Facts and Formulae. Springer, Basel.Google Scholar
Breiman, L. (1967). First exit times from a square root boundary. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 9–16. University of California Press.CrossRefGoogle Scholar
Buonocore, A., Caputo, L., Nobile, A. G. and Pirozzi, E. (2014). Gauss–Markov processes in the presence of a reflecting boundary and applications in neuronal models. Appl. Math. Comput. 232, 799809.Google Scholar
Buonocore, A., Nobile, A. G. and Ricciardi, L. M. (1987). A new integral equation for the evaluation of first-passage-time probability densities. Adv. Appl. Prob. 19, 784800.CrossRefGoogle Scholar
Daniels, H. E. (1969). The minimum of a stationary Markov process superimposed on a U-shaped trend. J. Appl. Prob. 6, 399408.CrossRefGoogle Scholar
Ditlevsen, S. and Lansky, P. (2005). Estimation of the input parameters in the Ornstein–Uhlenbeck neuronal model. Phys. Rev. E 71, 011907.CrossRefGoogle ScholarPubMed
D’Onofrio, G. and Pirozzi, E. (2019). Asymptotics of two-boundary first-exit-time densities for Gauss–Markov processes. Methodology Comput. Appl. 21, 735752.Google Scholar
Durbin, J. (1985). The first-passage density of a continuous Gaussian process to a general boundary. J. Appl. Prob. 22, 99122.CrossRefGoogle Scholar
Erdős, P. (1942). On the law of the iterated logarithm. Ann. of Math. 43, 419436.CrossRefGoogle Scholar
Fitzsimmons, P., Pitman, J. and Yor, M. (1992). Markovian bridges: construction, palm interpretation, and splicing. In Seminar on Stochastic Processes, 1992, pp. 101134. Springer, Boston.Google Scholar
Groeneboom, P. (1989). Brownian motion with a parabolic drift and Airy functions. Prob. Theory Rel. 81, 79109.CrossRefGoogle Scholar
Jeanblanc, M., Yor, M. and Chesney, M. (2009). Mathematical Methods for Financial Markets. Springer, London.CrossRefGoogle Scholar
Jennen, C. and Lerche, H. R. (1981). First exit densities of Brownian motion through one-sided moving boundaries. Z. Wahrscheinlichkeitsth. 55, 133148.CrossRefGoogle Scholar
Karatzas, I. and Shreve, S. (1991). Brownian Motion and Stochastic Calculus (Graduate Texts in Mathematics 113). Springer, New York.Google Scholar
Lebedev, N. and Silverman, R. (1972). Special Functions and their Applications. Dover Publications.Google Scholar
Lerche, H. (1986). Boundary Crossing of Brownian Motion: Its Relation to the Law of the Iterated Logarithm and to Sequential Analysis (Lecture Notes Statist.). Springer, New York.Google Scholar
Lescot, P. and Zambrini, J.-C. (2008). Probabilistic deformation of contact geometry, diffusion processes and their quadratures. In Seminar on Stochastic Analysis, Random Fields and Applications V, ed. R. C. Dalang, F. Russo and M. Dozzi, pp. 203226. Birkhäuser, Basel.Google Scholar
Muravey, D. (2020). Lie symmetries methods in boundary crossing problems for diffusion processes. Acta Appl. Math. 170, 347372.CrossRefGoogle Scholar
Novikov, A. A. (1971). On stopping times for a Wiener process. Theory Prob. Appl. 16, 449456.CrossRefGoogle Scholar
Olver, P. J. (1993). Applications of Lie Groups to Differential Equations (Graduate Texts in Mathematics 107). Springer, New York.CrossRefGoogle Scholar
Pirozzi, E. (2020). A symmetry-based approach for first-passage-times of Gauss–Markov processes through Daniels-type boundaries. Symmetry 12, 279.CrossRefGoogle Scholar
Pötzelberger, K. and Wang, L. (2001). Boundary crossing probability for Brownian motion. J. Appl. Prob. 38, 152164.CrossRefGoogle Scholar
Revuz, D. and Yor, M. (1999). Continuous Martingales and Brownian motion, 3rd edn (Grundlehren der mathematischen Wissenschaften 293). Springer, Berlin.Google Scholar
Ricciardi, L. M. (1976). On the transformation of diffusion processes into the Wiener process. J. Math. Anal. Appl. 54, 185199.CrossRefGoogle Scholar
Ricciardi, L. M., Sacerdote, L. and Sato, S. (1984). On an integral equation for first-passage-time probability densities. J. Appl. Prob. 21, 302314.CrossRefGoogle Scholar
Robbins, H. and Siegmund, D. (1970). Boundary crossing probabilities for the Wiener process and sample sums. Ann. Math. Statist. 14101429.CrossRefGoogle Scholar
Rosencrans, S. I. (1976). Perturbation algebra of an elliptic operator. J. Math. Anal. Appl. 56, 317329.CrossRefGoogle Scholar
Sacerdote, L. (1990). On the solution of the Fokker–Planck equation for a Feller process. Adv. Appl. Prob. 22, 101110.CrossRefGoogle Scholar
Salminen, P. (1988). On the first hitting time and the last exit time for a Brownian motion to/from a moving boundary. Adv. Appl. Prob. 20, 411426.CrossRefGoogle Scholar
Strassen, V. (1967). Almost sure behavior of sums of independent random variables and martingales. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability pp. 315–343. University of California Press.Google Scholar