Continuous-time weakly self-avoiding walk on $\mathbb{Z}$ has strictly monotone escape speed
Yucheng Liu
TL;DR
The paper proves that the continuous-time weakly self-avoiding walk on $\mathbb{Z}$ has an asymptotically deterministic escape speed $\theta(g)$, and that $\theta(g)$ is strictly increasing in the repelling strength $g$. It develops a transfer-matrix framework through a supersymmetric BFS-Dynkin isomorphism to express two-point functions and uses Tauberian theory to translate Laplace-transform asymptotics into time asymptotics, establishing both the existence of $\theta(g)$ and a precise variational formula $\theta(g)=\big(-\partial_\nu \|Q(g,\nu)\|\big|_{\nu=\nu_c(g)}\big)^{-1}$. Monotonicity of the speed is proved via stochastic dominance, showing $\theta'(g)>0$ for all $g>0$. The analysis also yields critical exponents for the two-point function, susceptibility, and correlation lengths that coincide with those of the strictly self-avoiding walk, and provides finite-volume transfer-matrix representations that underpin the infinite-volume asymptotics. Collectively, the results extend known one-dimensional results to a continuous-time setting, connect the speed to the top eigenvalue of a transfer operator, and illuminate the critical behavior of this polymer-like model.
Abstract
Weakly self-avoiding walk (WSAW) is a model of simple random walk paths that penalizes self-intersections. On $\mathbb{Z}$, Greven and den Hollander proved in 1993 that the discrete-time weakly self-avoiding walk has an asymptotically deterministic escape speed, and they conjectured that this speed should be strictly increasing in the repelling strength parameter. We study a continuous-time version of the model, give a different existence proof for the speed, and prove the speed to be strictly increasing. The proof uses a transfer matrix method implemented via a supersymmetric version of the BFS--Dynkin isomorphism theorem, spectral theory, Tauberian theory, and stochastic dominance.
