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Importance sampling of rare events in chaotic systems

Title
Importance sampling of rare events in chaotic systems
Type
Article in International Scientific Journal
Year
2017
Authors
Leitao, JC
(Author)
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Lopes, JMVP
(Author)
FCUP
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Altmann, EG
(Author)
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Journal
Vol. 90
ISSN: 1434-6028
Publisher: Springer Nature
Other information
Authenticus ID: P-00N-2S1
Abstract (EN): Finding and sampling rare trajectories in dynamical systems is a difficult computational task underlying numerous problems and applications. In this paper we show how to construct MetropolisHastings Monte-Carlo methods that can efficiently sample rare trajectories in the (extremely rough) phase space of chaotic systems. As examples of our general framework we compute the distribution of finite-time Lyapunov exponents (in different chaotic maps) and the distribution of escape times (in transient-chaos problems). Our methods sample exponentially rare states in polynomial number of samples (in both low-and high-dimensional systems).
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 23
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