Splitting algorithm and normed convergence for drawing the random fractal Loewner curves

Fuente: arXiv
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Main Authors: Chen, Jiaming, Margarint, Vlad
Format: Preprint
Published: 2021
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author Chen, Jiaming
Margarint, Vlad
author_facet Chen, Jiaming
Margarint, Vlad
contents In the first part of the paper we propose and study the approximation of the $SLE_κ$ trace via the Ninomiya-Victoir splitting algorithm. We prove the uniform convergence in probability with respect to the sup-norm to the distance between the $SLE_κ$ trace and the output of the Ninomiya-Victoir splitting algorithm when applied in the context of the Loewner differential equation. Further investigations on the $L^p$-norm convergence is also exhibited, shedding light on the more delicate convergence structure. In the second part we show the uniform convergence of the approximation of the $SLE_κ$ trace obtained using a different scheme that is based on the linear interpolation of the Brownian driving force.
format Preprint
id arxiv_https___arxiv_org_abs_2110_10631
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Splitting algorithm and normed convergence for drawing the random fractal Loewner curves
Chen, Jiaming
Margarint, Vlad
Probability
60 Probability theory and stochastic processes, 30 Functions of a complex variable
In the first part of the paper we propose and study the approximation of the $SLE_κ$ trace via the Ninomiya-Victoir splitting algorithm. We prove the uniform convergence in probability with respect to the sup-norm to the distance between the $SLE_κ$ trace and the output of the Ninomiya-Victoir splitting algorithm when applied in the context of the Loewner differential equation. Further investigations on the $L^p$-norm convergence is also exhibited, shedding light on the more delicate convergence structure. In the second part we show the uniform convergence of the approximation of the $SLE_κ$ trace obtained using a different scheme that is based on the linear interpolation of the Brownian driving force.
title Splitting algorithm and normed convergence for drawing the random fractal Loewner curves
topic Probability
60 Probability theory and stochastic processes, 30 Functions of a complex variable
url https://arxiv.org/abs/2110.10631