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We study the correction-to-scaling exponents for the two-dimensional self-avoiding walk, using a combination of series-extrapolation and Monte Carlo methods. We enumerate all self-avoiding walks up to 59 steps on the square lattice, and up…

We discuss possible sources of systematic errors in the computation of critical exponents by renormalization-group methods, extrapolations from exact enumerations and Monte Carlo simulations. A careful Monte Carlo determination of the…

High Energy Physics - Lattice · Physics 2009-10-30 Sergio Caracciolo , Maria Serena Causo , Andrea Pelissetto

We compute the exponent gamma for self-avoiding walks in three dimensions. We get gamma = 1.1575 +- 0.0006 in agreement with renormalization-group predictions. Earlier Monte Carlo and exact-enumeration determinations are now seen to be…

Statistical Mechanics · Physics 2009-10-30 Sergio Caracciolo , Maria Serena Causo , Andrea Pelissetto

We examine self-avoiding walks in dimensions 4 to 8 using high-precision Monte-Carlo simulations up to length N=16384, providing the first such results in dimensions $d > 4$ on which we concentrate our analysis. We analyse the scaling…

Statistical Mechanics · Physics 2009-11-07 Aleksander L. Owczarek , Thomas Prellberg

We study self-avoiding walks on the four-dimensional hypercubic lattice via Monte Carlo simulations of walks with up to one billion steps. We study the expected logarithmic corrections to scaling, and find convincing evidence in support the…

Statistical Mechanics · Physics 2018-08-01 Nathan Clisby

We introduce a fast implementation of the pivot algorithm for self-avoiding walks, which we use to obtain large samples of walks on the cubic lattice of up to $33 \times 10^6$ steps. Consequently the critical exponent $\nu$ for…

Statistical Mechanics · Physics 2010-02-03 Nathan Clisby

We give an overview of results on critical phenomena in 4 dimensions, obtained recently using a rigorous renormalisation group method. In particular, for the $n$-component $|\varphi|^4$ spin model in dimension 4, with small coupling…

Mathematical Physics · Physics 2016-02-15 Roland Bauerschmidt , David C. Brydges , Gordon Slade

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…

Statistical Mechanics · Physics 2017-06-28 Nathan Clisby

The $n$-vector spin model, which includes the self-avoiding walk (SAW) as a special case for the $n \rightarrow 0 $ limit, has an upper critical dimensionality at four spatial dimensions (4D). We simulate the SAW on 4D hypercubic lattices…

Statistical Mechanics · Physics 2021-12-14 Sheng Fang , Youjin Deng , Zongzheng Zhou

The statistics of a long closed self-avoiding walk (SAW) or polymer ring on a $ d $-dimensional lattice obeys hyperscaling. The combination $ p_N \left\langle R^2 \right\rangle^{ d/2}_N\mu^{ -N}, $ (where $ p_N $ is the number of…

Condensed Matter · Physics 2013-11-18 Bertrand Duplantier

We formulate an irreversible Markov chain Monte Carlo algorithm for the self-avoiding walk (SAW), which violates the detailed balance condition and satisfies the balance condition. Its performance improves significantly compared to that of…

Statistical Mechanics · Physics 2017-01-03 Hao Hu , Xiaosong Chen , Youjin Deng

We prove that the susceptibility of the continuous-time weakly self-avoiding walk on $\mathbb{Z}^d$, in the critical dimension $d=4$, has a logarithmic correction to mean-field scaling behaviour as the critical point is approached, with…

Mathematical Physics · Physics 2015-11-05 Roland Bauerschmidt , David C. Brydges , Gordon Slade

We develop an approach for performing scaling analysis of $N$-step Random Walks (RWs). The mean square end-to-end distance, $\langle\vec{R}_{N}^{2}\rangle$, is written in terms of inner persistence lengths (IPLs), which we define by the…

Statistical Mechanics · Physics 2016-05-18 C. R. F. Granzotti , A. S. Martinez , M. A. A. da Silva

If the three dimensional self-avoiding walk (SAW) is conformally invariant, then one can compute the hitting densities for the SAW in a half-space and in a sphere. The ensembles of SAW's used to define these hitting densities involve walks…

Mathematical Physics · Physics 2015-06-22 Tom Kennedy

The conjecture that the scaling limit of the two-dimensional self-avoiding walk (SAW) in a half plane is given by the stochastic Loewner evolution (SLE) with $\kappa=8/3$ leads to explicit predictions about the SAW. A remarkable feature of…

Probability · Mathematics 2009-11-07 Tom Kennedy

With extensive Monte Carlo simulations, we present high-precision estimates of the critical exponents of branching annihilating random walks with two offspring, a prototypical model of the directed Ising universality class in one dimension.…

Statistical Mechanics · Physics 2015-06-22 Su-Chan Park

It is widely believed that the scaling limit of self-avoiding walks (SAWs) at the critical temperature is (i) conformally invariant, and (ii) describable by Schramm-Loewner Evolution (SLE) with parameter $\kappa = 8/3.$ We consider SAWs in…

Mathematical Physics · Physics 2015-06-16 Anthony J. Guttmann , Jesper L. Jacobsen

A comprehensive numerical study of self-avoiding walks (SAW's) on randomly diluted lattices in two and three dimensions is carried out. The critical exponents $\nu$ and $\chi$ are calculated for various different occupation probabilities,…

Condensed Matter · Physics 2009-10-22 M. D. Rintoul , Jangnyeol Moon , Hisao Nakanishi

We study self-avoiding walks on three-dimensional critical percolation clusters using a new exact enumeration method. It overcomes the exponential increase in computation time by exploiting the clusters' fractal nature. We enumerate walks…

Statistical Mechanics · Physics 2015-06-22 Niklas Fricke , Wolfhard Janke

This paper proves the formula \nu(d) =1 for d=1 and \nu(d) = max(1/4 +1/d, 1/2) for d > 1 for the root mean square displacement exponent \nu(d) of the self-avoiding walk (SAW) in Z^d, and thus, resolves some major long-standing open…

Probability · Mathematics 2007-05-23 Irene Hueter
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