A simple framework to justify linear response theory
Martin Hairer, Andrew J Majda

TL;DR
This paper provides a rigorous mathematical foundation for linear response theory in forced dissipative stochastic systems, enhancing its reliability for climate change modeling and other scientific applications.
Contribution
It develops a mathematically rigorous justification of linear response theory applicable to finite and infinite-dimensional systems in climate science and related fields.
Findings
Established a rigorous framework for linear response theory
Applicable to both finite and infinite-dimensional systems
Strengthens theoretical basis for climate change analysis
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
