Simulation of Conditioned Diffusions on the Flat Torus

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Diffusion processes are fundamental in modelling stochastic dynamics in natural sciences. Recently, simulating such processes on complicated geometries has found applications for example in biology, where toroidal data arises naturally when studying the backbone of protein sequences, creating a demand for efficient sampling methods. In this paper, we propose a method for simulating diffusions on the flat torus, conditioned on hitting a terminal point after a fixed time, by considering a diffusion process in R2 which we project onto the torus. We contribute a convergence result for this diffusion process, translating into convergence of the projected process to the terminal point on the torus. We also show that under a suitable change of measure, the Euclidean diffusion is locally a Brownian motion.

OriginalsprogEngelsk
TitelGeometric Science of Information - 4th International Conference, GSI 2019, Proceedings
RedaktørerFrank Nielsen, Frédéric Barbaresco
Antal sider10
ForlagSpringer VS
Publikationsdato2019
Sider685-694
ISBN (Trykt)9783030269791
DOI
StatusUdgivet - 2019
Begivenhed4th International Conference on Geometric Science of Information, GSI 2019 - Toulouse, Frankrig
Varighed: 27 aug. 201929 aug. 2019

Konference

Konference4th International Conference on Geometric Science of Information, GSI 2019
LandFrankrig
ByToulouse
Periode27/08/201929/08/2019
SponsorÉcole polytechnique, et al., Mines-ParisTech, SMAI, Sony Computer Science Laboratories Inc, Thales
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind11712 LNCS
ISSN0302-9743

ID: 237711069