Scaling Properties of Weakly Self-Avoiding Fractional Brownian Motion in One Dimension
Wolfgang Bock, Jinky Bornales, Cresente Cabahug, Samuel Eleut\'erio,, Ludwig Streit

TL;DR
This paper investigates the scaling behavior of weakly self-avoiding fractional Brownian motion in one dimension using numerical methods, confirming a mean field formula for the Flory index.
Contribution
It introduces an off-lattice discretization and applies a Metropolis algorithm to analyze the asymptotic scaling, validating a theoretical Flory index for this model.
Findings
Good agreement with the Flory index prediction
Numerical evidence supporting the mean field formula
Extension of fractional Brownian motion analysis to self-avoiding cases
Abstract
We use an off-lattice discretization of fractional Brownian motion and a Metropolis Algorithm to determine the asymptotic scaling of this discretized fractional Brownian motion under the influence of an excluded volume as in the Edwards and Domb-Joyce models. We find a good agreement between the Flory index describing the scaling of end-to-end length with a mean field formula proposed earlier for this class of models.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
