Finite-Size Scaling at $\xi /L\gg 1$

Abstract

We present a simple and powerful method for extrapolating finite-volume Monte Carlo data to infinite volume, based on finite-size-scaling theory. We discuss carefully its systematic and statistical errors, and we illustrate it using three examples: the two-dimensional three-state Potts antiferromagnet on the square lattice, and the two-dimensional $O(3)$ and $O(\infty )$ $\sigma$-models. In favorable cases it is possible to obtain reliable extrapolations (errors of a few percent) even when the correlation length is 1000 times larger than the lattice.

11 pages including 4 figures, 280216 bytes Postscript (NYU-TH-94/09/02)

References in corpus (3)

• Wolff-Type Embedding Algorithms for General Nonlinear $\sigma$-Models
• New Universality Classes for Two-Dimensional $\sigma$-Models
• Comment on ``Antiferromagnetic Potts Models''

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