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Long-time asymptotics of the filtering distribution for partially observed chaotic dynamical systems

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Sanz-Alonso, Daniel and Stuart, A. M. (2015) Long-time asymptotics of the filtering distribution for partially observed chaotic dynamical systems. SIAM/ASA Journal on Uncertainty Quantification, 3 (1). pp. 1200-1220. doi:10.1137/140997336 ISSN 2166-2525.

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Official URL: http://dx.doi.org/10.1137/140997336

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Abstract

The filtering distribution is a time-evolving probability distribution on the state of a dynamical system given noisy observations. We study the large-time asymptotics of this probability distribution for discrete-time, randomly initialized signals that evolve according to a deterministic map Ψ. The observations are assumed to comprise a low-dimensional projection of the signal, given by an operator P, subject to additive noise. We address the question of whether these observations contain sufficient information to accurately reconstruct the signal. In a general framework, we establish conditions on Ψ and P under which the filtering distributions concentrate around the signal in the small-noise, long-time asymptotic regime. Linear systems, the Lorenz ’63 and ’96 models, and the Navier–Stokes equation on a two-dimensional torus are within the scope of the theory. Our main findings come as a by-product of computable bounds, of independent interest, for suboptimal filters based on new variants of the 3DVAR filtering algorithm

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Engineering and Medicine > Science > Mathematics
Library of Congress Subject Headings (LCSH): Chaotic behavior in systems
Journal or Publication Title: SIAM/ASA Journal on Uncertainty Quantification
Publisher: SIAM
ISSN: 2166-2525
Official Date: 10 December 2015
Dates:
DateEvent
10 December 2015Published
31 August 2015Accepted
25 November 2014Submitted
Volume: 3
Number: 1
Page Range: pp. 1200-1220
DOI: 10.1137/140997336
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 13 January 2016
Date of first compliant Open Access: 18 February 2016
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