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November 2019 Gaussian free field light cones and $\mathrm{SLE}_{\kappa }(\rho )$
Jason Miller, Scott Sheffield
Ann. Probab. 47(6): 3606-3648 (November 2019). DOI: 10.1214/18-AOP1331

Abstract

Let $h$ be an instance of the GFF. Fix $\kappa \in (0,4)$ and $\chi =2/\sqrt{\kappa }-\sqrt{\kappa }/2$. Recall that an imaginary geometry ray is a flow line of $e^{i(h/\chi +\theta)}$ that looks locally like $\mathrm{SLE}_{\kappa }$. The light cone with parameter $\theta \in [0,\pi ]$ is the set of points reachable from the origin by a sequence of rays with angles in $[-\theta /2,\theta /2]$. It is known that when $\theta =0$, the light cone looks like $\mathrm{SLE}_{\kappa }$, and when $\theta =\pi $ it looks like the range of an $\mathrm{SLE}_{16/\kappa }$ counterflow line. We find that when $\theta \in (0,\pi )$ the light cones are either fractal carpets with a dense set of holes or space-filling regions with no holes. We show that every non-space-filling light cone agrees in law with the range of an $\mathrm{SLE}_{\kappa }(\rho )$ process with $\rho \in ((-2-\kappa /2)\vee (\kappa /2-4),-2)$. Conversely, the range of any such $\mathrm{SLE}_{\kappa }(\rho )$ process agrees in law with a non-space-filling light cone. As a consequence of our analysis, we obtain the first proof that these $\mathrm{SLE}_{\kappa }(\rho )$ processes are a.s. continuous curves and show that they can be constructed as natural path-valued functions of the GFF.

Citation

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Jason Miller. Scott Sheffield. "Gaussian free field light cones and $\mathrm{SLE}_{\kappa }(\rho )$." Ann. Probab. 47 (6) 3606 - 3648, November 2019. https://doi.org/10.1214/18-AOP1331

Information

Received: 1 July 2016; Revised: 1 November 2018; Published: November 2019
First available in Project Euclid: 2 December 2019

zbMATH: 07212168
MathSciNet: MR4038039
Digital Object Identifier: 10.1214/18-AOP1331

Subjects:
Primary: 60G15 , 60G60 , 60J67

Keywords: Gaussian free field , imaginary geometry , Schramm–Loewner evolution

Rights: Copyright © 2019 Institute of Mathematical Statistics

Vol.47 • No. 6 • November 2019
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