2018
DOI: 10.1088/1402-4896/aad016
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Lattice random walk: an old problem with a future ahead

Abstract: This article analyzes the hydrodynamic (continuous) limits of lattice random walks in one spatial dimension. It is shown that a continuous formulation of the process leads naturally to a hyperbolic transport model, characterized by finite propagation velocity, while the classical parabolic limit corresponds to the Kac limit of the hyperbolic model itself. This apparently elementary problem leads to fundamental issues in the theory of stochastic processes and nonequilibrium phenomena, paving the way to new appr… Show more

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Cited by 9 publications
(30 citation statements)
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References 52 publications
(105 reference statements)
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“…In the case D 1 /D 2 = 1, one has D eff /D 1 = 1 from the parabolic model, independently of λ (line (c) in figure 7), while in general D eff /D 1 in parabolic Langevin-Wiener models is lower-and upper-bounded by the values attained at λ = 0 and λ = 1/2 (see the Appendix). This result indicates that the hyperbolic hydrodynamic model not only provides a more quantitatively consistent alternative to parabolic models for describing LRW at short timescales, as addressed in [20], but it is the only continuous model deriving from a continuous stochastic description of particle transport constistent with long-term dispersion data in multiphase periodic lattices.…”
mentioning
confidence: 77%
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“…In the case D 1 /D 2 = 1, one has D eff /D 1 = 1 from the parabolic model, independently of λ (line (c) in figure 7), while in general D eff /D 1 in parabolic Langevin-Wiener models is lower-and upper-bounded by the values attained at λ = 0 and λ = 1/2 (see the Appendix). This result indicates that the hyperbolic hydrodynamic model not only provides a more quantitatively consistent alternative to parabolic models for describing LRW at short timescales, as addressed in [20], but it is the only continuous model deriving from a continuous stochastic description of particle transport constistent with long-term dispersion data in multiphase periodic lattices.…”
mentioning
confidence: 77%
“…In [20] an hyperbolic hydrodynamic model for the classical asymmetric Lattice Random Walk (LRW) has been derived. Three parameters characterize a LRW: (i) δ the distance between nearest neighboring sites, (ii) τ the hopping time, and (iii) r = r 1 −r 2 the difference between the probabilities of moving to the right (r 1 ) and the left (r 2 ), where r 1 , r 2 > 0, r 1 + r 2 = 1.…”
Section: Lrw and Hyperbolic Hydrodynamic Modelsmentioning
confidence: 99%
“…The exiting flux at x = 0 is just J 0 (t) = b P − (0, t) and, consequently, the first passage time density function f θ 1 (θ 1 ) is readily obtained from the solution of eqs. (7) as…”
Section: Poisson-kac Processesmentioning
confidence: 99%
“…Therefore, in a continuous time setting the coordinate LW position process X(t) is no longer a Markov process, because the condition of bounded velocity and a fortiori the local regularity of the trajectories enforces to add the local direction of motion to the state description of the system. Exactly in the same way a lattice random walk is not Markovian if the lattice spacing δ and the hopping time τ are assumed to be finite and the trajectory of a particle is interpolated between two transitions in a continuous way [7].…”
mentioning
confidence: 99%
“…(4.6) is, therefore, an artifact of the approach used to obtain the hydrodynamic limit (4.6), while it is completely absent in the original lattice particle model. It is, therefore, natural to ask whether it would be possible to derive continuous hydrodynamic equations without performing the limit for δ, τ → 0, consistently with the bounded value of the lattice velocity b 0 [44]. This effort is also reasonable in the light of elementary physical considerations.…”
Section: "A Good Old Boy": Origin Of Gpk From Lrwmentioning
confidence: 99%