activity
19932026
most citedDiffusion with Stochastic Resetting

815 citations · 19.9k across the 406 of their papers we have counts for

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Showing 2022Show all

15 papers · 1 filter

cond-mat.stat-mech2022★ 9 cited

An exact formula for the variance of linear statistics in the one-dimensional jellium mode

Ana Flack, Satya N. Majumdar, Gregory Schehr

We consider the jellium model of particles on a line confined in an external harmonic potential and with a pairwise one-dimensional Coulomb repulsion of strength . Using…

cond-mat.stat-mech2022★ 64 cited

Extreme statistics and spacing distribution in a Brownian gas correlated by resetting

Marco Biroli, Hernan Larralde, Satya N. Majumdar +1

We study a one-dimensional gas of Brownian particles that diffuse independently, but are {\it simultaneously} reset to the origin at a constant rate . The system approaches…

cond-mat.stat-mech2022★ 8 cited

Density profile of noninteracting fermions in a rotating trap at finite temperature

Manas Kulkarni, Pierre Le Doussal, Satya N. Majumdar +1

We study the average density of spinless noninteracting fermions in a harmonic trap rotating with a constant frequency and in the presence of an additional repulsive c…

cond-mat.stat-mech2022★ 28 cited

Reducing mean first passage times with intermittent confining potentials: a realization of resetting processes

Gabriel Mercado-Vásquez, Denis Boyer, Satya N. Majumdar

During a random search, resetting the searcher's position from time to time to the starting point often reduces the mean completion time of the process. Although many different res…

cond-mat.stat-mech2022★ 31 cited

Time to reach the maximum for a stationary stochastic process

Francesco Mori, Satya N. Majumdar, Gregory Schehr

We consider a one-dimensional stationary time series of fixed duration . We investigate the time at which the process reaches the global maximum within the time inte…

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…