A PLANAR DIFFUSION WITH RANK-BASED CHARACTERISTICS IOANNIS KARATZAS

Abstract Imagine you run two Brownian-like particles on the real line. At any given time, you assign drift g and dispersion σ to the laggard; and you assign drift −h and dispersion ρ to the leader. Here g , h , ρ and σ are given nonnegative constants with ρ2 + σ 2 = 1 and g + h > 0 . Is the martingale problem for the resulting infinitesimal generator  2 2  ρ ∂ σ2 ∂ 2 ∂ ∂ L = 1{x1 >x2 } + −h +g 2 ∂x21 2 ∂x22 ∂x1 ∂x2  2 2  2 2 σ ∂ ρ ∂ ∂ ∂ + 1{x1 ≤x2 } + +g −h 2 ∂x21 2 ∂x22 ∂x1 ∂x2 well-posed? If so, what is the probabilistic structure of the resulting two-dimensional diffusion process? What are its transition probabilities? How does it look like when time is reversed? Questions like these arise in the context of systems of diffusions interacting through their ranks; see, for instance, [1], [4], [6]. The construction we carry out involves features of Brownian motion with “bangbang” drift [5], as well as of “skew Brownian motion” [3]. Surprises are in store when one sets up a system of stochastic differential equations for this planar diffusion and tries to decide questions of strength and/or weakness (cf. [2] for a one-dimensional analogue), and when one looks at the time-reversal of the diffusion. I’ll try to explain what we know about all this, then pose a few open questions. (This is joint work with E. Robert Fernholz and Tomoyuki Ichiba.)

Date: April 14, 2011.

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IOANNIS KARATZAS

REFERENCES [1] Banner, A., Fernholz, E.R. & Karatzas, I. (2005) Atlas models of equity markets. Annals of Applied Probability 15, 2296-2330. [2] Barlow, M.T. (1988) Skew Brownian motion and a one-dimensional stochastic differential equation. Stochastics 25, 1-2. [3] Harrison, J.M. and Shepp, L.A. (1981). On skew Brownian motion. Annals of Probability 9, 309–313. [4] Ichiba, T., Papathanakos, V., Banner, A.D., Karatzas, I. & Fernholz, E.R. (2011) Hybrid Atlas Models. Annals of Applied Probability 21, 609-644. [5] Karatzas, I. & Shreve, S.E. (1984) Trivariate density of Brownian motion, its local and occupation times, with application to stochastic control. Annals of Probability 12, 819-828. [6] Pal, S. & Pitman, J. (2008) One-dimensional Brownian particle systems with rank-dependent drifts. Annals of Applied Probability 18, 2179-2207. INTECH Investment Management LLC, One Palmer Square, Suite 441, Princeton, NJ 08542; and Mathematics Department, Columbia University, New York, NY 10027 E-mail address: [email protected], [email protected]

A PLANAR DIFFUSION WITH RANK-BASED ...

well-posed? If so, what is the probabilistic structure of the resulting two-dimensional diffusion process? What are its transition probabilities? How does it look like when time is reversed? Questions like these arise in the context of systems of diffusions interacting through their ranks; see, for instance, [1], [4], [6].

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