2020
DOI: 10.48550/arxiv.2006.05980
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Hard core run and tumble particles on a one dimensional lattice

Rahul Dandekar,
Subhadip Chakraborti,
R. Rajesh

Abstract: We study the large scale behavior of a collection of hard core run and tumble particles on a one dimensional lattice with periodic boundary conditions. Each particle has persistent motion in one direction decided by an associated spin variable until the direction of spin is reversed. We map the run and tumble model to a mass transfer model with fluctuating directed bonds. We calculate the steady state single site mass distribution in the mass model within a mean field approximation for larger spin-flip rates a… Show more

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Cited by 4 publications
(7 citation statements)
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“…6 Average cluster size L c versus the polydispersity parameter λ at fixed average tumbling rate α = 0.01 for φ = 0.2 and φ = 0.5. The points show the simulation results and the lines are the theoretical predictions for the CSD length scale l c , eqn (10). For the simulations with λ > 2.5, the numerical results no longer agree with the theory, as discussed in Section 4.…”
Section: Fully Polydisperse Mixturementioning
confidence: 89%
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“…6 Average cluster size L c versus the polydispersity parameter λ at fixed average tumbling rate α = 0.01 for φ = 0.2 and φ = 0.5. The points show the simulation results and the lines are the theoretical predictions for the CSD length scale l c , eqn (10). For the simulations with λ > 2.5, the numerical results no longer agree with the theory, as discussed in Section 4.…”
Section: Fully Polydisperse Mixturementioning
confidence: 89%
“…Considering that the typical bacterium body size and speed are ≈ 2 µm and ≈ 14 µm/s, 44 our units are such that one time step is roughly 1/7 s, and thus α 0 = 0.216 s −1 corresponds to α 0 ≈ 0.03. For φ = 0.2, the theoretical estimate via eqn (10) for the fully polydisperse case with λ = 1.62 is L c ≈ 5.57. For the monodisperse case (λ = 0) with the same α and φ as in the fully polydisperse case, we find L c ≈ 2.11.…”
Section: Theorymentioning
confidence: 97%
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“…Some of these interesting features, for instance clustering at boundaries [33], motility-induced phase separation [34], jamming [35], emerge from the interactions of many RTPs. However, relevant properties, such as non-Boltzmann stationary state in a confining potential [36][37][38][39][40], can be observed even at the single-particle level. Moreover, many interesting quantities have been computed exactly in the onedimensional case [38,[41][42][43][44][45][46][47].…”
Section: Introductionmentioning
confidence: 99%