Walks in the quarter plane: Kreweras' algebraic model

• 成果类型: Article
• 署名作者: Bousquet-Mélou, M
• 署名单位: Universite de Bordeaux; Centre National de la Recherche Scientifique (CNRS)
• 刊物名称: ANNALS OF APPLIED PROBABILITY
• ISSN/ISSBN: 1050-5164
• DOI: 10.1214/105051605000000052
• 发表日期: 2005
• 页码: 1451-1491
• 关键词: d-finite; lattice; processors; series

摘要

We consider planar lattice walks that start from (0, 0), remain in the first quadrant i, j >= 0, and are made of three types of steps: North-East, West and South. These walks are known to have remarkable enumerative and probabilistic properties: center dot they are counted by nice numbers [Kreweras, Cahiers du B.U.R.O 6 (1965) 5-105], center dot the generating function of these numbers is algebraic [Gessel, J. Statist. Plann. Inference 14 (1986) 49-58], center dot the stationary distribution of the corresponding Markov chain in the quadrant has an algebraic probability generating function [Flatto and Hahn, SIAM J. Appl. Math. 44 (1984) 1041-1053]. These results are not well understood, and have been established via complicated proofs. Here we give a uniform derivation of all of them, which is more elementary that those previously published. We then go further by computing the full law of the Markov chain. This helps to delimit the border of algebraicity: the associated probability generating function is no longer algebraic, unless a diagonal symmetry holds. Our proofs are based on the solution of certain functional equations, which are very simple to establish. Finding purely combinatorial proofs remains an open problem.