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 79 tok/s
Gemini 2.5 Pro 41 tok/s Pro
GPT-5 Medium 25 tok/s Pro
GPT-5 High 23 tok/s Pro
GPT-4o 99 tok/s Pro
Kimi K2 199 tok/s Pro
GPT OSS 120B 444 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Markovian families for pseudo-Anosov flows (2509.19530v1)

Published 23 Sep 2025 in math.DS

Abstract: Generalizing the classification approach described for transitive Anosov flows in dimension 3 in a previous preprint of the author, in this paper we describe a method for classifying (not necessarily transitive) pseudo-Anosov flows on 3-manifolds up to orbital equivalence. To every pseudo-Anosov flow $\Phi$ (with no 1-prongs) on $M3$ is associated a bifoliated plane $\mathcal{P}$ endowed with an action of $\pi_1(M)$. It is known that the previous action characterizes $\Phi$ up to orbital equivalence and admits infinitely many Markovian families (i.e. collections of rectangles in $\mathcal{P}$ generalizing the notion of Markov partition for group actions on the plane). Our goal in this paper consists in showing that : 1) if $\mathcal{R}$ is a Markovian family of $\Phi$, the number of orbits of rectangles of $\mathcal{R}$ and their pattern of intersection can be encoded by a finite combinatorial object, called a geometric type, which describes completely $\Phi$ up to Dehn-Goodman-Fried surgeries on a specific finite set $\Gamma$ of periodic orbits of $\Phi$ 2) our previous choices of surgeries on $\Gamma$ can be read as sequences of rectangles in $\mathcal{R}$ and can be encoded by finite combinatorial objects, called cycles 3) a geometric type with cycles of $\mathcal{R}$ describes the original flow $\Phi$ up to orbital equivalence Several of the above results will be stated and proven in a slightly more general setting involving strong Markovian actions on the plane. Finally, due to the lack of bibliographic references on pseudo-Anosov flows in dimension 3, in the first part of the paper we provide an introduction to pseudo-Anosov flow theory containing several useful results for our classification approach together with their proofs.

Summary

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

Lightbulb 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.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube