Rough differential equations in the flow approach

Fuente: arXiv
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Autori principali: Chandra, Ajay, Ferdinand, Léonard
Natura: Preprint
Pubblicazione: 2024
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author Chandra, Ajay
Ferdinand, Léonard
author_facet Chandra, Ajay
Ferdinand, Léonard
contents We show how the flow approach of Duch, with elementary differentials as coordinates, can be used to prove well-posedness for rough stochastic differential equations driven by fractional Brownian motion with Hurst index $H > \frac{1}{4}$. A novelty appearing here is that we use coordinates for the flow that are indexed by trees rather than multi-indices.
format Preprint
id arxiv_https___arxiv_org_abs_2411_07157
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Rough differential equations in the flow approach
Chandra, Ajay
Ferdinand, Léonard
Probability
Classical Analysis and ODEs
We show how the flow approach of Duch, with elementary differentials as coordinates, can be used to prove well-posedness for rough stochastic differential equations driven by fractional Brownian motion with Hurst index $H > \frac{1}{4}$. A novelty appearing here is that we use coordinates for the flow that are indexed by trees rather than multi-indices.
title Rough differential equations in the flow approach
topic Probability
Classical Analysis and ODEs
url https://arxiv.org/abs/2411.07157