2021
DOI: 10.1016/j.cpc.2020.107569
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BetheSF: Efficient computation of the exact tagged-particle propagator in single-file systems via the Bethe eigenspectrum

Abstract: Single-file diffusion is a paradigm for strongly correlated classical stochastic many-body dynamics and has widespread applications in soft condensed matter and biophysics. However, exact results for singlefile systems are sparse and limited to the simplest scenarios. We present an algorithm for computing the non-Markovian time-dependent conditional probability density function of a tagged-particle in a single-file of N particles diffusing in a confining external potential. The algorithm implements an eigenexp… Show more

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Cited by 4 publications
(11 citation statements)
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“…1d and Appendix D 4 b) [39], as well as two theoretical examples: the end-to-end distance fluctuations of a Rouse polymer chain [100] (Fig. 1e and Appendix D8) and tracer particle dynamics in a single file of impenetrable diffusing particles, where q(t) reflects the position of the tracer particle [19,85,101] (Fig. 1f and Appendix D 3).…”
Section: Examplesmentioning
confidence: 99%
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“…1d and Appendix D 4 b) [39], as well as two theoretical examples: the end-to-end distance fluctuations of a Rouse polymer chain [100] (Fig. 1e and Appendix D8) and tracer particle dynamics in a single file of impenetrable diffusing particles, where q(t) reflects the position of the tracer particle [19,85,101] (Fig. 1f and Appendix D 3).…”
Section: Examplesmentioning
confidence: 99%
“…The single file model refers to the overdamped Brownian motion of a system of N particles with hard core exclusion interactions, which for simplicity (and because the finite-size scenario is obtained by a simple re-scaling of space) we assume to be point-like and confined to an interval of unit length L = 1 [101,124,125]. We express length in units of L and time in units of τ = D/L 2 , where D corresponds to the diffusion coefficient which is assumed to be equal for all particles.…”
Section: Single File Diffusionmentioning
confidence: 99%
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“…Memory effects can have intriguing manifestations in the evolution of both, ensemble- [15,[25][26][27][28] and timeaverage observables [15,29], and are often particularly well-pronounced in observations that reflect, or couple to, intra-molecular distances in conformationally flexible biomolecules [16, 18, 20-22, 25, 30-38]. Moreover, if the dynamics is ergodic in the sense that the system relaxes to a unique equilibrium probability density function from any initial condition (i.e.…”
mentioning
confidence: 99%