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- W2861024434 abstract "We study a minimal model of self-propelled particle in a crowded single-file environment. We extend classical models of exclusion processes (previously analyzed for diffusive and driven tracer particles) to the case where the tracer particle is a run-and-tumble particle (RTP), while all bath particles perform symmetric random walks. In the limit of high density of bath particles, we derive exact expressions for the full distribution $mathcal{P}_n(X)$ of the RTP position $X$ and all its cumulants, valid for arbitrary values of the tumbling probability $alpha$ and time $n$. Our results highlight striking effects of crowding on the dynamics: even cumulants of the RTP position are increasing functions of $alpha$ at intermediate timescales, and display a subdiffusive anomalous scaling $propto sqrt{n}$ independent of $alpha$ in the limit of long times $nto infty$. These analytical results set the ground for a quantitative analysis of experimental trajectories of real biological or artificial microswimmers in extreme confinement." @default.
- W2861024434 created "2018-07-19" @default.
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- W2861024434 date "2018-11-30" @default.
- W2861024434 modified "2023-10-14" @default.
- W2861024434 title "Dynamics of run-and-tumble particles in dense single-file systems" @default.
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- W2861024434 doi "https://doi.org/10.1088/1367-2630/aaef6f" @default.
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