On the scaling of the chemical distance in long-range percolation models

By Marek Tomasz Biskup. 2003

138 citations recorded by the source corpus.

We consider the (unoriented) long-range percolation on Z d in dimensions d ≥ 1, where distinct sites x, y ∈ Z d get connected with probability p xy ∈ [0, 1]. Assuming p xy = |x - y| -s+o(1) as |x - y| → ∞, where s > 0 and |.| is a norm distance on Z d , and supposing that the resulting random graph contains an infinite connected component C∞, we let D(x, y) be the graph distance between x and y measured on C∞. Our main result is that, for s ∈ (d, 2d), D(x, y) = (log|x - y|) Δ+o(1) , x,y ∈ C∞, |x - y| → ∞, where Δ -1 is the binary logarithm of 2d/s and o(1) is a quantity tending to zero in probability as |x - y| → ∞. Besides its interest for general percolation theory, this result sheds some light on a question that has recently surfaced in the context of small-world phenomena. As part of the proof we also establish tight bounds on the probability that the largest connected component in a finite box contains a positive fraction of all sites in the box.

Subfields: Condensed Matter Physics, Mathematical Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f5641017d8e05e9e8428e61f09010b475d517311

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In Condensed Matter Physics

  1. Alexander V. Goltsev
  2. Noam Berger
  3. José Fernando Ferreira Mendes
  4. Sergey N. Dorogovtsev
  5. Marek Tomasz Biskup
  6. Mark Newman

In Mathematical Physics

  1. Alexander V. Goltsev
  2. José Fernando Ferreira Mendes
  3. Sergey N. Dorogovtsev
  4. Noam Berger
  5. Marek Tomasz Biskup
  6. Mark Newman
  7. Albert-László Barabási

In Statistics and Probability

  1. Noam Berger
  2. José Fernando Ferreira Mendes
  3. Sergey N. Dorogovtsev
  4. Marek Tomasz Biskup
  5. Alexander V. Goltsev

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