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Published on: February 22, 2018
Random Search Walks Inside Absorbing Annuli
Anderson S Bibiano-Filho1, Jandson F O de Freitas2, Marcos G E da Luz3
1Laboratório de Física Teórica e Computacional, Departamento de Física, Universidade Federal de Pernambuco, Recife 50670-901, PE, Brazil.
This study analyzes random search walks in 2D spaces using power-law step distributions. Researchers derived search efficiency formulas and explored absorbing probabilities, offering insights into 2D search strategies.
Area of Science:
- Physics
- Applied Mathematics
- Statistical Mechanics
Background:
- Random search walks are fundamental in understanding diffusion and transport phenomena.
- The behavior of searchers in confined spaces with absorbing boundaries is crucial for various applications.
- Existing models often simplify step distributions, limiting their applicability to complex search scenarios.
Purpose of the Study:
- To investigate random search walks in two-dimensional (2D) space bounded by concentric absorbing annuli.
- To derive analytical and approximate expressions for search efficiency (η) using power-law step distributions.
- To analyze absorbing probabilities and Shannon entropy in relation to search dynamics.
Main Methods:
- Analytical derivation of search efficiency (η) in the ballistic limit.
- Approximation of η for searches starting far from boundaries.
- Numerical analysis of absorbing probabilities and Shannon entropy.
- Investigation of scaling behavior for small initial distances to the inner ring.
Main Results:
- Exact analytical result for search efficiency (η) in the ballistic limit.
- Approximate expression for η in the far-field regime.
- Numerical results show good agreement with theoretical findings.
- Power-law exponent for equiprobability and maximum entropy grows logarithmically with starting distance.
Conclusions:
- The study provides a comprehensive theoretical and numerical analysis of random search walks with power-law step distributions in 2D annular domains.
- The findings offer valuable insights into search efficiency and boundary interaction dynamics.
- This work serves as a mean-field approach to complex 2D search problems with significant real-world applications.
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