Some geometric critical exponents for percolation and the random-cluster model
Abstract
We introduce several infinite families of critical exponents for the random-cluster model and present scaling arguments relating them to the k -arm exponents. We then present Monte Carlo simulations confirming these predictions. These exponents provide a convenient way to determine k -arm exponents from Monte Carlo simulations. An understanding of these exponents also leads to a radically improved implementation of the Sweeny Monte Carlo algorithm. In addition, our Monte Carlo data allow us to conjecture an exact expression for the shortest-path fractal dimension dmin in two dimensions: dmin=?(g+2)(g+18)/(32g) , where g is the Coulomb-gas coupling, related to the cluster fugacity q via q=2+2cos(gπ/2) with 2≤g≤4 .
- Publication:
-
Physical Review E
- Pub Date:
- February 2010
- DOI:
- 10.1103/PhysRevE.81.020102
- arXiv:
- arXiv:0904.3448
- Bibcode:
- 2010PhRvE..81b0102D
- Keywords:
-
- 64.60.De;
- 05.10.Ln;
- 05.50.+q;
- 64.60.ah;
- Statistical mechanics of model systems;
- Monte Carlo methods;
- Lattice theory and statistics;
- Percolation;
- Condensed Matter - Statistical Mechanics;
- Mathematical Physics;
- Mathematics - Probability;
- Physics - Computational Physics
- E-Print:
- LaTeX2e/Revtex4. Version 2 is completely rewritten to make the exposition more reader-friendly