2017
DOI: 10.1088/1751-8121/aa7231
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Scale-free Monte Carlo method for calculating the critical exponentγof self-avoiding walks

Abstract: We implement a scale-free version of the pivot algorithm and use it to sample pairs of three-dimensional self-avoiding walks, for the purpose of efficiently calculating an observable that corresponds to the probability that pairs of self-avoiding walks remain self-avoiding when they are concatenated. We study the properties of this Markov chain, and then use it to find the critical exponent γ for self-avoiding walks to unprecedented accuracy. Our final estimate for γ is 1.15695300(95).

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Cited by 53 publications
(83 citation statements)
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References 30 publications
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“…The DE of the NPRG equations has proved to be an approximation scheme which is versatile and capable of [75], MC [76,77], Length doubling method series [78], and 6-loop, d = 3 perturbative RG values [2], and −expansion at order 5 [2] and order 6 [48] are also given for comparison. Results for most precise experiment are also included (polystyrene benzene dilute solutions [74].…”
Section: Discussionmentioning
confidence: 99%
“…The DE of the NPRG equations has proved to be an approximation scheme which is versatile and capable of [75], MC [76,77], Length doubling method series [78], and 6-loop, d = 3 perturbative RG values [2], and −expansion at order 5 [2] and order 6 [48] are also given for comparison. Results for most precise experiment are also included (polystyrene benzene dilute solutions [74].…”
Section: Discussionmentioning
confidence: 99%
“…Clearly the Meijer-G approximants return accurate estimates of both the mass and field anomalous dimensions as well as their critical exponents η and ν. Note that KP use as resummation a variational perturbation theory approach, and that Guida and Zinn-Justin use a conformal mapping [10,66] 0.5876 0.0310 on top of their Borel-Padé method [10,34]. In contrast, the calculations presented here are straightforward to implement, and delivered these results for the most natural choices of helper functions, which were, in fact, the first and only ones we tried.…”
Section: Anomalous Dimension For Self-avoiding Walks In Three Dimementioning
confidence: 90%
“…Besides adding one extra coefficient to previously computed expansions, their work is an exercise in state-of-the-art practical resummation as well as an excellent compilation of reference results for this important model [34,66]. Furthermore KP give full access to their numerical and analytical expansions in their supplementary material.…”
Section: Anomalous Dimension For Self-avoiding Walks In Three Dimementioning
confidence: 99%
“…However, considerable progress of other techniques has by now produced a multitude of much more refined results. Among those, we like to point out the particularly astonishing performance of the conformal bootstrap program [40,101] and Monte Carlo methods [53,54], which reached unprecedented accuracy in some cases.…”
Section: Introductionmentioning
confidence: 99%