2022
DOI: 10.48550/arxiv.2207.01321
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From a microscopic solution to a continuum description of active particles with a recoil interaction

Abstract: We consider a model system of persistent random walkers that can jam, pass through each other or jump apart (recoil) on contact. In a continuum limit, where particle motion between stochastic changes in direction becomes deterministic, we find that the stationary inter-particle distribution functions are governed by an inhomogeneous fourth-order differential equation. Our main focus is on determining the boundary conditions that these distribution functions should satisfy. We find that these do not arise natur… Show more

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Cited by 1 publication
(4 citation statements)
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References 49 publications
(72 reference statements)
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“…A further simplification that occurs when ρ(x) is differentiable at the boundaries is that the boundary conditions q(0) = 1 and q(1) = 0 carry over directly from the master equation ( 16). The fact that this does not occur in the general case is addressed in depth in [31]. Integrating (17) with these boundary conditions gives…”
Section: Derivation Of Stationary Distributions (3) (4) -mentioning
confidence: 99%
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“…A further simplification that occurs when ρ(x) is differentiable at the boundaries is that the boundary conditions q(0) = 1 and q(1) = 0 carry over directly from the master equation ( 16). The fact that this does not occur in the general case is addressed in depth in [31]. Integrating (17) with these boundary conditions gives…”
Section: Derivation Of Stationary Distributions (3) (4) -mentioning
confidence: 99%
“…In a forthcoming work [31], we solve a system equivalent to ( 15) and ( 16) for a general recoil distribution ρ(x), including those that have delta functions at the boundary points x = 0 and x = 1, which correspond to the particles having some finite probability of jamming into, or passing through, each other on contact. This solution has complex behavior in the region of size 1 √ L at each boundary, with discontinuities in the interparticle distribution functions and/or their derivatives at the boundary points.…”
Section: Derivation Of Stationary Distributions (3) (4) -mentioning
confidence: 99%
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