### Abstract

We study three different random walk models on several two-dimensional lattices by Monte Carlo simulations. One is the usual nearest neighbor random walk. Another is the nearest neighbor random walk which is not allowed to backtrack. The final model is the smart kinetic walk. For all three of these models the distribution of the point where the walk exits a simply connected domain D in the plane converges weakly to harmonic measure on (Formula presented.) as the lattice spacing (Formula presented.). Let (Formula presented.) be harmonic measure for D, and let (Formula presented.) be the discrete harmonic measure for one of the random walk models. Our definition of the random walk models is unusual in that we average over the orientation of the lattice with respect to the domain. We are interested in the limit of (Formula presented.). Our Monte Carlo simulations of the three models lead to the conjecture that this limit equals (Formula presented.) times Lebesgue measure with respect to arc length along the boundary, where the function (Formula presented.) depends on the domain, but not on the model or lattice, and the constant (Formula presented.) depends on the model and on the lattice, but not on the domain. So there is a form of universality for this first order correction. We also give an explicit formula for the conjectured density (Formula presented.).

Original language | English (US) |
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Pages (from-to) | 1-16 |

Number of pages | 16 |

Journal | Journal of Statistical Physics |

DOIs | |

State | Accepted/In press - May 17 2016 |

### Keywords

- Exit distribution
- First order correction
- Harmonic measure
- Random walk
- Smart kinetic walk

### ASJC Scopus subject areas

- Statistical and Nonlinear Physics
- Mathematical Physics