Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 83 tok/s
Gemini 2.5 Pro 51 tok/s Pro
GPT-5 Medium 24 tok/s Pro
GPT-5 High 20 tok/s Pro
GPT-4o 83 tok/s Pro
Kimi K2 109 tok/s Pro
GPT OSS 120B 460 tok/s Pro
Claude Sonnet 4 38 tok/s Pro
2000 character limit reached

Dynamical entropy of the separatrix map (2503.13667v1)

Published 17 Mar 2025 in nlin.CD

Abstract: We calculate the maximum Lyapunov exponent of the motion in the separatrix map's chaotic layer, along with calculation of its width, as functions of the adiabaticity parameter $\lambda$. The separatrix map is set in natural variables; and the case of the layer's least perturbed border is considered, i.~e., the winding number of the layer's border (the last invariant curve) is the golden mean. Although these two dependences (for the Lyapunov exponent and the layer width) are strongly non-monotonous and evade any simple analytical description, the calculated dynamical entropy $h$ turns out to be a close-to-linear function of $\lambda$. In other words, if normalized by $\lambda$, the entropy is a quasi-constant. We discuss whether the function $h(\lambda)$ can be in fact exactly linear, $h \propto \lambda$. The function $h(\lambda)$ forms a basis for calculating the dynamical entropy for any perturbed nonlinear resonance in the first fundamental model, as soon as the corresponding Melnikov--Arnold integral is estimated.

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 post and received 2 likes.