A simple framework to justify linear response theory
- 9 March 2010
- journal article
- Published by IOP Publishing in Nonlinearity
- Vol. 23 (4) , 909-922
- https://doi.org/10.1088/0951-7715/23/4/008
Abstract
The use of linear response theory for forced dissipative stochastic dynamical systems through the fluctuation dissipation theorem is an attractive way to study climate change systematically among other applications. Here, a mathematically rigorous justification of linear response theory for forced dissipative stochastic dynamical systems is developed. The main results are formulated in an abstract setting and apply to suitable systems, in finite and infinite dimensions, that are of interest in climate change science and other applications.Keywords
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This publication has 36 references indexed in Scilit:
- A New Algorithm for Low-Frequency Climate ResponseJournal of the Atmospheric Sciences, 2009
- Linear response despite critical pointsNonlinearity, 2008
- Linear response formula for piecewise expanding unimodal mapsNonlinearity, 2008
- New Approximations and Tests of Linear Fluctuation-Response for Chaotic Nonlinear Forced-Dissipative Dynamical SystemsJournal of Nonlinear Science, 2007
- Blended response algorithms for linear fluctuation-dissipation for complex nonlinear dynamical systemsNonlinearity, 2007
- Smooth Anosov flows: Correlation spectra and stabilityJournal of Modern Dynamics, 2007
- Exponential mixing for the Teichmüller flowPublications mathématiques de l'IHÉS, 2006
- Navier?Stokes Equations: Controllability by Means of Low Modes ForcingJournal of Mathematical Fluid Mechanics, 2005
- Statistical DynamicsPublished by World Scientific Pub Co Pte Ltd ,1997
- On the spectra of randomly perturbed expanding mapsCommunications in Mathematical Physics, 1993