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20152023
most citedThe convex hull of the run-and-tumble particle in a plane

60 citations · 366 across the 26 of their papers we have counts for

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Showing cond-mat.stat-mechShow all

11 papers · 1 filter

cond-mat.stat-mech2023★ 1 cited

Singular relaxation of a random walk in a box with a Metropolis Monte Carlo dynamics

Alexei D. Chepelianskii, Satya N. Majumdar, Hendrik Schawe +1

We study analytically the relaxation eigenmodes of a simple Monte Carlo algorithm, corresponding to a particle in a box which moves by uniform random jumps. Moves outside of the bo…

cond-mat.stat-mech2022★ 2 cited

Metropolis Monte Carlo sampling: convergence, localization transition and optimality

Alexei D. Chepelianskii, Satya N. Majumdar, Hendrik Schawe +1

Among random sampling methods, Markov Chain Monte Carlo algorithms are foremost. Using a combination of analytical and numerical approaches, we study their convergence properties t…

cond-mat.stat-mech2021★ 31 cited

Mean area of the convex hull of a run and tumble particle in two dimensions

Prashant Singh, Anupam Kundu, Satya N. Majumdar +1

We investigate the statistics of the convex hull for a single run-and-tumble particle in two dimensions. Run-and-tumble particle, also known as persistent random walker, has gained…

cond-mat.stat-mech2021

One-dimensional Monte Carlo dynamics at zero temperature

Alexei D. Chepelianskii, Satya N. Majumdar, Hendrik Schawe +1

We investigate, both analytically and with numerical simulations, a Monte Carlo dynamics at zero temperature, where a random walker evolving in continuous space and discrete time s…

cond-mat.stat-mech2020★ 50 cited

Mean perimeter and area of the convex hull of a planar Brownian motion in the presence of resetting

Satya N. Majumdar, Francesco Mori, Hendrik Schawe +1

We compute exactly the mean perimeter and the mean area of the convex hull of a -d Brownian motion of duration and diffusion constant , in the presence of resetting to th…

cond-mat.stat-mech2020★ 2 cited

Large deviations of a random walk model with emerging territories

Hendrik Schawe, Alexander K. Hartmann

We study an agent-based model of animals marking their territory and evading adversarial territory in one dimension, with respect to the distribution of the size of the resulting t…

cond-mat.stat-mech2019★ 60 cited

The convex hull of the run-and-tumble particle in a plane

Alexander K Hartmann, Satya N Majumdar, Hendrik Schawe +1

We study the statistical properties of the convex hull of a planar run-and-tumble particle (RTP), also known as the "persistent random walk", where the particle/walker runs ballist…

cond-mat.stat-mech2019★ 4 cited

Asymptotic behavior of the length of the longest increasing subsequences of random walks

J. Ricardo G. Mendonça, Hendrik Schawe, Alexander K. Hartmann

We numerically estimate the leading asymptotic behavior of the length of the longest increasing subsequence of random walks with step increments following Student's -dis…

cond-mat.stat-mech2018★ 6 cited

Large Deviations of Convex Hulls of the "True" Self-Avoiding Random Walk

Hendrik Schawe, Alexander K. Hartmann

We study the distribution of the area and perimeter of the convex hull of the "true" self-avoiding random walk in a plane. Using a Markov chain Monte Carlo sampling method, we obta…

cond-mat.stat-mech2018★ 17 cited

Large Deviations of Convex Hulls of Self-Avoiding Random Walks

Hendrik Schawe, Alexander K. Hartmann, Satya N. Majumdar

A global picture of a random particle movement is given by the convex hull of the visited points. We obtained numerically the probability distributions of the volume and surface of…

cond-mat.stat-mech2017★ 14 cited

Convex Hulls of Random Walks in Higher Dimensions: A Large Deviation Study

Hendrik Schawe, Alexander K. Hartmann, Satya N. Majumdar

The distribution of the hypervolume and surface of convex hulls of (multiple) random walks in higher dimensions are determined numerically, especially containing p…