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First Passage Times in Compact Domains Exhibit Biscaling
Talia Baravi1, David A Kessler2, Eli Barkai1
1Bar-Ilan University, Department of Physics, Institute of Nanotechnology and Advanced Materials, Ramat Gan 52900, Israel.
First passage time statistics in large systems show biscaling behavior. This study introduces a biscaling theory for confined processes, unifying short and long timescale dynamics for accurate diffusion analysis.
Area of Science:
- Physics
- Physical Chemistry
- Statistical Mechanics
Background:
- First passage time (FPT) is crucial for understanding diffusion-controlled reactions and particle dynamics.
- Large systems often display biscaling behavior in FPT, defying single-timescale analysis.
- Existing models struggle to capture the full spectrum of FPT statistics across diverse systems.
Purpose of the Study:
- To develop a comprehensive biscaling theory for the probability density function of first passage times.
- To unify the description of FPT statistics across short and long timescales.
- To provide a framework applicable to confined compact processes in various domains and geometries.
Main Methods:
- Development of a novel biscaling theory for FPT probability density functions.
- Inclusion of two distinct scaling functions: one for initial dynamics and one for finite-size effects.
- Application of the theory to analyze diverse scenarios, including external forces and resetting mechanisms.
Main Results:
- The proposed theory successfully describes FPT statistics across all timescales.
- It captures initial dynamics in unbounded systems and finite-size effects in confined systems.
- The framework is validated for active, thermal, and non-equilibrium steady-state scenarios.
Conclusions:
- The biscaling theory offers a complete framework for understanding FPT statistics in confined systems.
- It reconciles short-time and long-time dynamics, providing a unified perspective.
- This work advances the study of diffusion processes in complex and realistic settings.
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