Source: Ann. Appl. Probab. Volume 21, Number 1
(2011), 183-214.
Advective skew dispersion is a natural Markov process defined by a diffusion with drift across an interface of jump discontinuity in a piecewise constant diffusion coefficient. In the absence of drift, this process may be represented as a function of α-skew Brownian motion for a uniquely determined value of α=α∗; see Ramirez et al. [Multiscale Model. Simul. 5 (2006) 786–801]. In the present paper, the analysis is extended to the case of nonzero drift. A determination of the (joint) distributions of key functionals of standard skew Brownian motion together with some associated probabilistic semigroup and local time theory is given for these purposes. An application to the dispersion of a solute concentration across an interface is provided that explains certain symmetries and asymmetries in recently reported laboratory experiments conducted at Lawrence–Livermore Berkeley Labs by Berkowitz et al. [Water Resour. Res. 45 (2009) W02201].
References
Appuhamillage, T., Bokil, V. A., Thomann, E., Waymire, E. and Wood, B. (2009). Solute transport across an interface: A Fickian theory for skewness in breakthrough curves.
Water Resour. Res. DOI:
10.1029/2009WR008258.
Appuhamillage, T. and Sheldon, D. (2010). Ranked excursion heights and first passage time of skew Brownian motion. Available at
http://arxiv.org/abs/1008.2989.
Barlow, M., Burdzy, K., Kaspi, H. and Mandelbaum, A. (2000). Variably skewed Brownian motion. Electron. Comm. Probab. 5 57–66 (electronic).
Barlow, M., Burdzy, K., Kaspi, H. and Mandelbaum, A. (2001). Coalescence of skew Brownian motions. In Séminaire de Probabilités, XXXV. Lecture Notes in Math. 1755 202–205. Springer, Berlin.
Barlow, M., Pitman, J. and Yor, M. (1989). On Walsh’s Brownian motions. In Séminaire de Probabilités, XXIII. Lecture Notes in Math. 1372 275–293. Springer, Berlin.
Berkowitz, B., Cortis, A., Dror, I. and Scher, H. (2008). Laboratory experiments on dispersive transport across interfaces: The role of flow direction. EOS, Transactions of the American Geophysical Union 89 Fall Meeting Supplement, Abstract H23H-05.
Berkowitz, B., Cortis, A., Dror, I. and Scher, H. (2009). Laboratory experiments on dispersive transport across interfaces: The role of flow direction.
Water Resour. Res. 45 W02201. DOI:
10.1029/2008WR007342.
Bhattacharya, R. and Waymire, E. (2009). Stochastic Processes with Applications. Classics in Applied Mathematics 61. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA.
Burdzy, K. and Chen, Z.-Q. (2001). Local time flow related to skew Brownian motion. Ann. Probab. 29 1693–1715.
Decamps, M., Goovaerts, M. and Schoutens, W. (2006). Asymmetric skew Bessel processes and their applications to finance. J. Comput. Appl. Math. 186 130–147.
Freidlin, M. and Sheu, S.-J. (2000). Diffusion processes on graphs: Stochastic differential equations, large deviation principle.
Probab. Theory Related Fields 116 181–220. DOI:
10.1007/PL00008726.
Harrison, J. M. and Shepp, L. A. (1981). On skew Brownian motion. Ann. Probab. 9 309–313.
Mathematical Reviews (MathSciNet):
MR606993
Hoteit, H., Mose, R., Younes, A., Lehmann, F. and Ackerer, P. (2002). Three-dimensional modeling of mass transfer in porous media using the mixed hybrid finite elements and the random-walk methods. Math. Geol. 34 435–456.
Itô, K. and McKean, H. P. Jr. (1963). Brownian motions on a half line. Illinois J. Math. 7 181–231.
Mathematical Reviews (MathSciNet):
MR154338
Itô, K. and McKean, H. P. Jr. (1996). Diffusion Processes and Their Sample Paths. Springer, Berlin.
Mathematical Reviews (MathSciNet):
MR345224
Karatzas, I. and Shreve, S. E. (1984). Trivariate density of Brownian motion, its local and occupation times, with application to stochastic control. Ann. Probab. 12 819–828.
Mathematical Reviews (MathSciNet):
MR744236
Kuo, R., Irwin, N., Greenkorn, R. and Cushman, J. (1999). Experimental investigation of mixing in aperiodic heterogeneous porous media: Comparison with stochastic transport theory. Transport in Porous Media 37 169–182.
LaBolle, E., Quastel, J. and Fogg, G. (1998). Diffusion theory for transport in porous media: Transition-probability densities of diffusion processes corresponding to advection-dispersion equations. Water Resour. Res. 34 1685–1693.
LaBolle, E., Quastel, J., Fogg, G. and Gravner, J. (2000). Diffusion processes in composite porous media and their numerical integration by random walks: Generalized stochastic differential equations with discontinuous coefficients. Water Resour. Res. 36 651–662.
Le Gall, J. F. (1982). Temps locaux et equations differentielles stochastiques. Ph.D. thesis, Th’ese de troisi’eme cycle, Univ. Pierre et Marie Curie (Paris VI), Paris.
Le Gall, J. F. (1984). One-dimensional stochastic differential equations involving the local times of the unknown process. In Stochastic Analysis and Applications (Swansea, 1983). Lecture Notes in Math. 1095 51–82. Springer, Berlin.
Mathematical Reviews (MathSciNet):
MR777514
Lejay, A. and Martinez, M. (2006). A scheme for simulating one-dimensional diffusion processes with discontinuous coefficients. Ann. Appl. Probab. 16 107–139.
Ouknine, Y. (1990). Le “Skew-Brownian motion” et les processus qui en dérivent. Teor. Veroyatnost. i Primenen. 35 173–179.
Portenko, N. I. (1990). Generalized Diffusion Processes. Translations of Mathematical Monographs 83. Amer. Math. Soc., Providence, RI.
Ramirez, J. (2007). Skew Brownian motion and branching processes applied to diffusion-advection in heterogenous media and fluid flow. Ph.D. thesis, Oregon State Univ.
Ramirez, J. (2010). Multi-skewed Brownian motion and diffusion. Trans. Amer. Math. Soc. To appear.
Ramirez, J. M., Thomann, E. A., Waymire, E. C., Haggerty, R. and Wood, B. (2006). A generalized Taylor–Aris formula and skew diffusion. Multiscale Model. Simul. 5 786–801 (electronic).
Ramirez, J., Thomann, E., Waymire, E., Chastanet, J. and Wood, J. (2008). A note on the theoretical foundations of particle tracking methods in heterogeneous porous media.
Water Resour. Res. 44 W01501. DOI:
10.1029/2007WR005914.
Revuz, D. and Yor, M. (1991). Continuous Martingales and Brownian Motion. Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences] 293. Springer, Berlin.
Rogers, L. C. G. and Williams, D. (1987). Diffusions, Markov Processes, and Martingales. Volume 2: Itô Calculus. Wiley, New York.
Mathematical Reviews (MathSciNet):
MR921238
Trotter, H. F. (1958). A property of Brownian motion paths. Illinois J. Math. 2 425–433.
Mathematical Reviews (MathSciNet):
MR96311
Uffink, G. J. M. (1985). A random walk method for the simulation of macrodispersion in a stratified aquifer. In Relation of Groundwater Quantity and Quality. IAHS Publication 146 103–114. IAHS Press, Walingford, UK.
Walsh, J. B. (1978). A diffusion with a discontinuous local time. Asterisque 52–53 37–45.