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Recent experiments have implemented resetting by means of a time-varying external harmonic trap whereby the trap stiffness is changed from an initial to a final value in finite-time and then the system is reset when it relaxes to an…

统计力学 · 物理学 2025-07-21 Deepak Gupta , Kristian Stølevik Olsen , Supriya Krishnamurthy

In the past few years, stochastic resetting has become a subject of immense interest. Most of the theoretical studies so far focused on instantaneous resetting which is, however, a major impediment to practical realization or experimental…

统计力学 · 物理学 2021-04-14 Deepak Gupta , Carlos A Plata , Anupam Kundu , Arnab Pal

We consider motion of an overdamped Brownian particle subject to stochastic resetting in one dimension. In contrast to the usual setting where the particle is instantaneously reset to a preferred location (say, the origin), here we consider…

统计力学 · 物理学 2021-05-26 Deepak Gupta , Arnab Pal , Anupam Kundu

Stochastic resetting is a driving mechanism that is known to minimize the first passage time to reach a target, at the cost of energy expenditure. The choice of the physical implementation of each resetting event determines the tradeoff…

统计力学 · 物理学 2025-07-29 Rémi Goerlich , Kristian Stølevik Olsen , Hartmut Löwen , Yael Roichman

We analyze the thermodynamic cost of a logically reversible Brownian Turing machine operating in the first-passage time protocol based on the stochastic thermodynamics of resetting. In this framework, the thermodynamic cost of computation…

统计力学 · 物理学 2023-12-01 Yasuhiro Utsumi , Dimitry Golubev , Ferdinand Peper

We present and characterize a method to accelerate the relaxation of a Brownian object between two distinct equilibrium states. Instead of relying on a deterministic time-dependent control parameter, we use stochastic resetting to guide and…

统计力学 · 物理学 2024-06-07 Rémi Goerlich , Tommer D. Keidar , Yael Roichman

For systems in an externally controllable time-dependent potential, the optimal protocol minimizes the mean work spent in a finite-time transition between two given equilibrium states. For overdamped dynamics which ignores inertia effects,…

统计力学 · 物理学 2008-07-23 Alex Gomez-Marin , Tim Schmiedl , Udo Seifert

The theory of stochastic resetting asserts that restarting a stochastic process can expedite its completion. In this paper, we study the escape process of a Brownian particle in an open Hamiltonian system that suffers noise-enhanced…

统计力学 · 物理学 2024-01-23 Julia Cantisán , Alexandre R. Nieto , Jesús M. Seoane , Miguel A. F. Sanjuán

Stochastic systems that undergo random restarts to their initial state have been widely investigated in recent years, both theoretically and in experiments. Oftentimes, however, resetting to a fixed state is impossible due to thermal noise…

统计力学 · 物理学 2023-05-17 Francesco Mori , Kristian Stølevik Olsen , Supriya Krishnamurthy

Resetting is a strategy for boosting the speed of a target-searching process. Since its introduction over a decade ago, most studies have been carried out under the assumption that resetting takes place instantaneously. However, due to its…

统计力学 · 物理学 2023-05-09 Priyo Shankar Pal , Arnab Pal , Hyunggyu Park , Jae Sung Lee

Returning a system to a desired state under a force field involves a thermodynamic cost, i.e., {\it work}. This cost fluctuates for a small-scale system from one experimental realization to another. We introduce a general framework to…

统计力学 · 物理学 2022-12-07 Deepak Gupta , Carlos A. Plata

We consider the paradigm of an overdamped Brownian particle in a potential well, which is modulated through an external protocol, in the presence of stochastic resetting. Thus, in addition to the short range diffusive motion, the particle…

统计力学 · 物理学 2020-03-25 Deepak Gupta , Carlos A. Plata , Arnab Pal

Partial resetting, whereby a state variable $x(t)$ is reset at random times to a value $a x (t)$, $0\leq a \leq 1$, generalizes conventional resetting by introducing the resetting strength $a$ as a parameter. Partial resetting generates a…

统计力学 · 物理学 2024-06-21 Kristian Stølevik Olsen , Deepak Gupta

Resetting, in which a system is regularly returned to a given state after a fixed or random duration, has become a useful strategy to optimize the search performance of a system. While earlier theoretical frameworks focused on instantaneous…

统计力学 · 物理学 2024-10-14 Prashant Singh

A thermal analogue of the classical brachistochrone problem, which minimizes the connection time between two equilibrium states of harmonically confined Brownian particles, has recently been solved theoretically. Here we report its…

We propose an optimization strategy to control the dynamics of a stochastic system transferred from one thermal equilibrium to another and apply it experimentally to a Brownian particle in an optical trap under compression. Based on a…

Stochastic dynamics with random resetting leads to a non-equilibrium steady state. Here, we consider the thermodynamics of resetting by deriving the first and second law for reset processes far from equilibrium. We identify the…

统计力学 · 物理学 2017-01-31 Jaco Fuchs , Sebastian Goldt , Udo Seifert

Systems that are driven by a randomly timed, external protocol can seemingly violate the second law of thermodynamics. We show that this thermodynamic paradox is resolved if the outcome of the random time is stored in a memory device.…

统计力学 · 物理学 2025-10-28 Izaak Neri

We consider a single Brownian particle in one dimension in a medium at a constant temperature in the underdamped regime. We stochastically reset the position of the Brownian particle to a fixed point in the space with a constant rate $r$…

统计力学 · 物理学 2019-05-22 Deepak Gupta

For a small system like a colloidal particle or a single biomolecule embedded in a heat bath, the optimal protocol of an external control parameter minimizes the mean work required to drive the system from one given equilibrium state to…

统计力学 · 物理学 2009-11-13 Tim Schmiedl , Udo Seifert
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