`Generalized des Cloizeaux' exponent for self-avoiding walks on the incipient percolation cluster

Abstract

We study the asymptotic shape of self-avoiding random walks (SAW) on the backbone of the incipient percolation cluster in d-dimensional lattices analytically. It is generally accepted that the configurational averaged probability distribution function <P_{\mathrm{B}}(r,N)> for the end-to-end distance r of an N step SAW behaves as a power law for r -> 0. In this work, we determine the corresponding exponent using scaling arguments, and show that our suggested `generalized des Cloizeaux&#39; expression for the exponent is in excellent agreement with exact enumeration results in two and three dimensions.