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Updated: Jan 8, 2026

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Search by return: Stochastic resetting in fluctuating harmonic potentials.

Derek Frydel1

  • 1Department of Chemistry, Universidad Técnica Federico Santa María, Campus San Joaquin, Santiago, Chile.

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|December 23, 2025
PubMed
Summary
This summary is machine-generated.

This study explores stochastic resetting (SR) with finite return times, introducing a novel "search by return" mechanism. This approach precisely resets particle search paths, yielding a closed-form mean first-passage time.

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Area of Science:

  • Statistical Physics
  • Physical Chemistry
  • Complex Systems

Background:

  • Stochastic resetting (SR) models particle search strategies.
  • Standard SR assumes instantaneous returns, which is unrealistic.
  • Finite return durations introduce imprecision in search starting points.

Purpose of the Study:

  • To analyze SR processes with finite-duration return trajectories.
  • To investigate a feedback mechanism ensuring precise reset points.
  • To determine mean first-passage times (MFPTs) for novel SR protocols.

Main Methods:

  • Utilizing a fluctuating harmonic potential for particle confinement.
  • Implementing instantaneous positional feedback to control return trajectories.
  • Analyzing search protocols, including a 'search by return' mechanism.

Main Results:

  • Developed a method for precise resetting by terminating return trajectories at the origin.
  • Achieved consistent starting points for diffusive search phases.
  • Derived a closed-form MFPT for the 'search by return' protocol.

Conclusions:

  • Finite return times in SR can be managed with feedback control.
  • The 'search by return' protocol offers a novel and efficient search strategy.
  • This work provides new insights into optimizing search processes in complex systems.