Abstract
We study the dynamic critical behavior of the BFACF algorithm for generating self-avoiding walks with variable length and fixed endpoints. We argue theoretically, and confirm by Monte Carlo simulations in dimensions 2, 3, and 4, that the autocorrelation time scales as τint, NR~ξ4R~〈N> 4 v.
Original language | English (US) |
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Pages (from-to) | 857-865 |
Number of pages | 9 |
Journal | Journal of Statistical Physics |
Volume | 63 |
Issue number | 5-6 |
DOIs | |
State | Published - Jun 1991 |
Keywords
- BFACF algorithm
- Monte Carlo
- Self-avoiding walk
- dynamic critical exponent
- polymer
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Mathematical Physics