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Convergence and extrapolation in finite-size scaling renormalization

V. Privman

Physica A: Statistical Mechanics and its Applications, 1984, vol. 123, issue 2, 428-442

Abstract: Finite size renormalization technique is studied by examining a test model, which is exactly solvable, and the problem of lattice animals and self-avoiding walks. Bulk estimates of the leading irrelevant RG eigenvalue are found and compared with independent estimates from finite-size data. We introduce an extrapolation technique which is applicable to non-monotonic sequences of exponent approximants.

Date: 1984
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:123:y:1984:i:2:p:428-442

DOI: 10.1016/0378-4371(84)90164-X

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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