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Extremal statistics for a resetting Brownian motion before its first-passage time
Wusong Guo1, Hao Yan1, Hanshuang Chen1
1School of Physics and Optoelectronic Engineering, Anhui University, Hefei 230601, China.
This study analyzes resetting Brownian motion, finding that increasing the resetting rate decreases maximum displacement. The time to reach maximum displacement shows a nonmonotonic dependence, with a minimum at an optimal rate.
Area of Science:
- Statistical physics
- Stochastic processes
Background:
- Brownian motion is a fundamental model for random processes.
- Resetting Brownian motion introduces periodic restarts, altering standard diffusion behavior.
Purpose of the Study:
- To investigate the extreme value statistics of one-dimensional resetting Brownian motion.
- To determine the distribution and expected value of maximum displacement and the time it is achieved.
Main Methods:
- Derivation of exit probability for resetting Brownian motion.
- Path decomposition technique in the Laplace domain.
- Extensive computer simulations for validation.
Main Results:
- Maximum displacement decreases monotonically with increasing resetting rate.
- Expected maximum displacement tends to 2x₀ as resetting rate approaches infinity.
- Expected time to maximum displacement exhibits nonmonotonic behavior, with a minimum at an optimal rate r*.
Conclusions:
- The resetting rate significantly influences both the magnitude and timing of maximum displacement in Brownian motion.
- An optimal resetting rate exists that minimizes the time to achieve maximum displacement.
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