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arxiv: 1603.05203 · v2 · pith:Y7R7ULNFnew · submitted 2016-03-16 · 🧮 math.PR · math.CV

Convergence of loop-erased random walk in the natural parametrization

classification 🧮 math.PR math.CV
keywords randomwalklerwcontentconvergenceestimateslatticeloop-erased
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Loop-erased random walk, abbreviated LERW, is one of the most well-studied critical lattice models. It is the self-avoiding random walk one gets after erasing the loops from a simple random walk in order or alternatively by considering the branches in a uniformly chosen spanning tree. This paper proves that planar LERW parametrized by renormalized length converges in the lattice size scaling limit to SLE(2) parametrized by 5/4-dimensional Minkowski content. In doing this we also provide a method for proving similar convergence results for other models converging to SLE. Besides the main theorem, several of our results about LERW are of independent interest: for example, two-point estimates, estimates on maximal content, and a "separation lemma".

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  1. Regularity of the SLE$_4$ uniformizing map and the SLE$_8$ trace

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    Modulus of continuity for SLE4 uniformizing map is (log δ^{-1})^{-1/3+o(1)}; for SLE8 trace it is (log δ^{-1})^{-1/4+o(1)} as δ→0.