Most probable paths for developed processes

Fuente: arXiv
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Autori principali: Grong, Erlend, Sommer, Stefan
Natura: Preprint
Pubblicazione: 2022
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author Grong, Erlend
Sommer, Stefan
author_facet Grong, Erlend
Sommer, Stefan
contents Optimal paths for the classical Onsager-Machlup function determining most probable paths between points on a manifold are only explicitly identified for specific processes, for example the Riemannian Brownian motion. This leaves out large classes of manifold-valued processes such as processes with parallel transported non-trivial diffusion matrix, processes with rank-deficient generator and sub-Riemannian processes, and push-forwards to quotient spaces. In this paper, we construct a general approach to definition and identification of most probable paths by measuring the Onsager-Machlup function on the anti-development of such processes. The construction encompasses large classes of manifold-valued process and results in explicit equation systems for the paths that we denote \emph{development most probable paths}. We define and derive these results and apply them to several cases of stochastic processes on Lie groups, homogeneous spaces, and landmark spaces appearing in shape analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2211_15168
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Most probable paths for developed processes
Grong, Erlend
Sommer, Stefan
Probability
Differential Geometry
Statistics Theory
62R30, 60D05, 53C17
Optimal paths for the classical Onsager-Machlup function determining most probable paths between points on a manifold are only explicitly identified for specific processes, for example the Riemannian Brownian motion. This leaves out large classes of manifold-valued processes such as processes with parallel transported non-trivial diffusion matrix, processes with rank-deficient generator and sub-Riemannian processes, and push-forwards to quotient spaces. In this paper, we construct a general approach to definition and identification of most probable paths by measuring the Onsager-Machlup function on the anti-development of such processes. The construction encompasses large classes of manifold-valued process and results in explicit equation systems for the paths that we denote \emph{development most probable paths}. We define and derive these results and apply them to several cases of stochastic processes on Lie groups, homogeneous spaces, and landmark spaces appearing in shape analysis.
title Most probable paths for developed processes
topic Probability
Differential Geometry
Statistics Theory
62R30, 60D05, 53C17
url https://arxiv.org/abs/2211.15168