Reply to the comment of T.Gilbert and D.P.Sanders on "Capturing correlations in chaotic diffusion by approximation methods"
Rainer Klages, Georgie Knight

TL;DR
This paper is a reply to Gilbert and Sanders' comment on our previous work, addressing their criticisms and clarifying our original findings on capturing correlations in chaotic diffusion.
Contribution
It clarifies and defends the original approximation methods for chaotic diffusion against recent criticisms, reaffirming their validity.
Findings
Refutes Gilbert and Sanders' criticism
Reaffirms the effectiveness of the original approximation methods
Summarizes the previous discussion on chaotic diffusion
Abstract
This is a reply to the comment by Gilbert and Sanders [arXiv:1111.6271 (2011)]. We point out that their comment is a follow-up of a previous discussion which we briefly summarize before we refute their new criticism.
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.
Taxonomy
TopicsTheoretical and Computational Physics · Complex Systems and Time Series Analysis
