pith. sign in

arxiv: 1510.08287 · v2 · pith:X64T7OYOnew · submitted 2015-10-28 · ❄️ cond-mat.stat-mech · cond-mat.soft

Winding angle distributions for two-dimensional collapsing polymers

classification ❄️ cond-mat.stat-mech cond-mat.soft
keywords anglewindingdistributionsphasepredictionscalingwalksasymptotically
0
0 comments X
read the original abstract

We provide numerical support for a long-standing prediction of universal scaling of winding angle distributions. Simulations of interacting self-avoiding walks show that the winding angle distribution for $N$-step walks is compatible with the theoretical prediction of a Gaussian with a variance growing asymptotically as $C\log N$, with $C=2$ in the swollen phase (previously verified), and $C=24/7$ at the $\theta$-point. At low temperatures weaker evidence demonstrates compatibility with the same scaling and a value of $C=4$ in the collapsed phase, also as theoretically predicted.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.