2000
DOI: 10.1239/jap/1014842550
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The correlated random walk with boundaries: A combinatorial solution

Abstract: The transition functions for the correlated random walk with two absorbing boundaries are derived by means of a combinatorial construction which is based on Krattenthaler's theorem for counting lattice paths with turns. Results for walks with one boundary and for unrestricted walks are presented as special cases. Finally we give an asymptotic formula, which proves to be useful for computational purposes.

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Cited by 24 publications
(12 citation statements)
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“…We remark that p(l, m), q(l, m), r(l, m), s(l, m) in Ξ(l, m) correspond to the types of paths described above in terms of P and Q, respectively. A similar argument can be seen in the proof of Theorem 2.1 of Böhm [7]. On the other hand, for the quantum walk case, this proof appears in Konno [15].…”
Section: Lemmasupporting
confidence: 67%
See 2 more Smart Citations
“…We remark that p(l, m), q(l, m), r(l, m), s(l, m) in Ξ(l, m) correspond to the types of paths described above in terms of P and Q, respectively. A similar argument can be seen in the proof of Theorem 2.1 of Böhm [7]. On the other hand, for the quantum walk case, this proof appears in Konno [15].…”
Section: Lemmasupporting
confidence: 67%
“…(19) and (20) in Corollary 2.6 of [7], respectively. By using Lemma 2, we have an expression for the characteristic function of X ϕ n .…”
Section: Lemmamentioning
confidence: 97%
See 1 more Smart Citation
“…Extensions to the classic Gambler's Ruin or other MC problems, e.g. inclusion of correlations [18] or multiple currencies [19], may yield further insights into other areas of stochastic dynamics, e.g. turbulence or high-dimensional thermally activated dynamics.…”
mentioning
confidence: 99%
“…Gillis' conjecture was proved in Iossif (1986) and then for more general correlated random walks in Chen and Renshaw (1994). Other results on correlated random walks and boundary problems include Proudfoot and Lampard (1972), Jain (1973), Mukherjea and Steele (1987), Zhang (1992), and Böhm (2000).…”
Section: Introductionmentioning
confidence: 99%