1999
DOI: 10.1007/978-3-642-60001-2
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Random Walks in the Quarter-Plane

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Cited by 132 publications
(270 citation statements)
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“…Random walks conditioned to live in domains C ⊂ Z d are of growing interest because of the range of their applications in enumerative combinatorics, in probability theory and in harmonic analysis (cf. [7], [9], [11], [17], [18], [30]). Doob h-transforms, where h is harmonic for the random walk, positive within C and vanishing on its boundary ∂C, are used to perform such conditioning.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Random walks conditioned to live in domains C ⊂ Z d are of growing interest because of the range of their applications in enumerative combinatorics, in probability theory and in harmonic analysis (cf. [7], [9], [11], [17], [18], [30]). Doob h-transforms, where h is harmonic for the random walk, positive within C and vanishing on its boundary ∂C, are used to perform such conditioning.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…In modern times, a large area of work on this topic centers around using the so-called kernel method to express generating functions of large classes of models as positive series extractions or diagonals of multivariate rational functions, proving that the generating functions are (or are not) D-finite; that is, determining whether they satisfy a linear differential equation with polynomial coefficients. Although there are a finite number of models with steps in {±1, 0} 2 that are restricted to a quarter-plane, their combinatorics has been the subject of intense study in recent years [21,11,31,41,13,7,8,50,42,37,38,4,12,2,6,19]. The models considered in this paper are higher-dimensional generalizations of this two-dimensional setting.…”
Section: Lattice Walks In Restricted Regionsmentioning
confidence: 99%
“…In one approach, developed in part for problems arising in queuing theory, a singularity analysis of solutions to functional equations satisfied by lattice path generating functions yields analytic and asymptotic information. The text of Fayolle et al [21] gives a detailed view on the techniques involved, some of which inspired Bousquet-Mélou's creation of the algebraic kernel method; see also Malyšev [35] for an early history. The lattice path models we study have asymptotics of the form C n α ρ n for constants α and ρ, where C is constant or depends only on the periodicity of n. Fayolle and Raschel [22] used these techniques to outline a method that, in principle, allows one to calculate the exponential growth ρ for many quadrant models.…”
Section: Past Workmentioning
confidence: 99%
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“…To prove that this chain is ergodic for k > 3, we use Theorem 1.2.1 from [19], henceforth referred to as Malyshev's result, which defines expected jumps 3 by…”
mentioning
confidence: 99%