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Directed random walks on directed percolation clusters.

Xiao-Hong Wang1, Ehud Perlsman, Shlomo Havlin

  • 1Minerva Center and Department of Physics, Bar-Ilan University, 52900 Ramat-Gan, Israel.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|June 6, 2003
PubMed
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Researchers numerically studied directed random walks on 2D directed percolation clusters. The study found a specific probability distribution for walker distance, consistent with a tree-like cluster structure.

Area of Science:

  • Statistical Physics
  • Complex Systems
  • Network Science

Background:

  • Directed percolation is a fundamental model in statistical physics, crucial for understanding phase transitions in disordered systems.
  • Random walks are essential tools for probing the geometry and dynamics of complex structures like percolation clusters.

Purpose of the Study:

  • To numerically investigate the behavior of directed random walks on two-dimensional directed percolation clusters at their critical probability.
  • To determine the probability distribution governing the distance of walkers from the cluster's most probable end point.
  • To compare the findings with existing theoretical models, specifically the tree description of directed percolation.

Main Methods:

  • Numerical simulations were performed on two-dimensional directed percolation clusters.

Related Experiment Videos

  • The critical probability p(c) was used to generate the clusters.
  • The distance distribution of directed random walkers from their most probable end point was analyzed.
  • Main Results:

    • A probability distribution p(d) approximately d(-(1+w/nu)) was identified for the walker's distance (d).
    • The exponents w and nu were found to be approximately 0.50 and 0.63, respectively.
    • This distribution remained independent of cluster length (t) up to distances comparable to the cluster's width (approximately t(nu)).

    Conclusions:

    • The observed probability distribution supports a tree-like description of directed percolation clusters.
    • The numerical results provide quantitative insights into the scaling properties of random walks on these critical structures.