### Abstract

We study systems of Brownian particles on the real line which interact by splitting the local times of collisions among themselves in an asymmetric manner. We prove strong existence and uniqueness of such processes and identify them with the collections of ordered processes in a Brownian particle system, in which the drift coëfficients, the diffusion coëfficients, and the collision local times for the individual particles are assigned according to their ranks. These Brownian systems can be viewed as generalizations of those arising in first-order models for equity markets in the context of stochastic portfolio theory, and are able to correct for several shortcomings of such models while being equally amenable to computations. We also show that, in addition to being of interest in their own right, such systems of Brownian particles arise as universal scaling limits of systems of jump processes on the integer lattice with local interactions. A key step in the proof is the analysis of a generalization of Skorokhod maps which include "local times" at the intersection of faces of the nonnegative orthant. The result extends the convergence of the totally asymmetric simple exclusion process (TASEP) to its continuous analogue. Finally, we identify those among the Brownian particle systems which have a probabilistic structure of determinantal type.

Original language | English (US) |
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Pages (from-to) | 323-354 |

Number of pages | 32 |

Journal | Annales de l'institut Henri Poincare (B) Probability and Statistics |

Volume | 52 |

Issue number | 1 |

DOIs | |

State | Published - Feb 2016 |

Externally published | Yes |

### All Science Journal Classification (ASJC) codes

- Statistics and Probability
- Statistics, Probability and Uncertainty

### Keywords

- Determinantal processes
- Interacting particle systems
- Invariance principles
- Reflected Brownian motions
- Skorokhod maps
- Stochastic Portfolio Theory
- Strong solutions of stochastic differential equations
- Triple collisions

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## Cite this

*Annales de l'institut Henri Poincare (B) Probability and Statistics*,

*52*(1), 323-354. https://doi.org/10.1214/14-AIHP646