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Related papers: Tame Flows

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Invariant manifolds are of fundamental importance to the qualitative understanding of dynamical systems. In this work, we explore and extend MacKay's converse KAM condition to obtain a sufficient condition for the nonexistence of invariant…

Dynamical Systems · Mathematics 2023-09-18 Nathan Duignan , James D. Meiss

In this paper we introduce a new compactness condition - Property (C) - for flows in (not necessary locally compact) metric spaces. For such flows a Conley type theory can be developed. For example (regular) index pairs always exist for…

Dynamical Systems · Mathematics 2016-12-19 Marek Izydorek , Thomas O. Rot , Maciej Starostka , Marcin Styborski , Robert C. A. M. Vandervorst

In this work, on the one hand, we survey and amplify old results concerning tame dynamical systems and, on the other, prove some new results and exhibit new examples of such systems. In particular, we study tame symbolic systems and…

Dynamical Systems · Mathematics 2023-02-21 Eli Glasner , Michael Megrelishvili

Let ({\Sigma}, {\omega}) be a compact Riemann surface with constant curvature c. In this work, we proved that the mean curvature flow of a given Hamiltonian diffeomorphism on {\Sigma} provides a smooth path in Ham({\Sigma}), the group of…

Differential Geometry · Mathematics 2012-11-06 Djideme F. Houenou , Leonard Todjihounde

Let $f:M\to N$ be a smooth area decreasing map between two Riemannian manifolds $(M,\gm)$ and $(N,\gn)$. Under weak and natural assumptions on the curvatures of $(M,\gm)$ and $(N,\gn)$, we prove that the mean curvature flow provides a…

Differential Geometry · Mathematics 2013-02-05 Andreas Savas-Halilaj , Knut Smoczyk

In this paper, we use abstract Lyapunov graphs as a combinatorial tool to obtain a complete classification of Smale flows on $\mathbb{S}^2\times\mathbb{S}^1$. This classification gives necessary and sufficient conditions that must be…

Dynamical Systems · Mathematics 2015-07-08 Ketty A. de Rezende , Guido G. E. Ledesma , Oziride M. Neto

We study the smooth self-maps $f$ of $\times a$-invariant sets $X\subseteq[0,1]$. Under various assumptions we show that this forces $\log f'(x)/\log a\in\mathbb{Q}$ at many points in $X$. Our method combines scenery flow methods and…

Dynamical Systems · Mathematics 2018-11-09 Michael Hochman

We study the Wasserstein Hamiltonian flow with a common noise on the density manifold of a finite graph. Under the framework of stochastic variational principle, we first develop the formulation of stochastic Wasserstein Hamiltonian flow…

Optimization and Control · Mathematics 2022-04-05 Jianbo Cui , Shu Liu , Haomin Zhou

As has been observed by Morse \cite{Mo}, any generic vector field $v$ on a compact smooth manifold $X$ with boundary gives rise to a stratification of the boundary $\d X$ by compact submanifolds $\{\d_j^\pm X(v)\}_{1 \leq j \leq \dim(X)}$,…

Geometric Topology · Mathematics 2014-06-27 Gabriel Katz

The aim of this paper is to study dynamical and topological properties of a flow in the region of influence of an isolated non-saddle set. We see, in particular, that some topological conditions are sufficient to guarantee that these sets…

Dynamical Systems · Mathematics 2020-03-18 Héctor Barge , José M. R. Sanjurjo

From the sandpoint of neural network dynamics we consider dynamical system of special type pesesses gradient (symmetric) and Hamiltonian (antisymmetric) flows. The conditions when Hamiltonian flow properties are dominant in the system are…

Disordered Systems and Neural Networks · Physics 2007-05-23 A. K. Prykarpatsky , V. V. Gafiychuk

We rigorously justify the bilayer shallow-water system as an approximation to the hydrostatic Euler equations in situations where the flow is density-stratified with close-to-piecewise constant density profiles, and close-to-columnar…

Analysis of PDEs · Mathematics 2025-01-06 Mahieddine Adim , Roberta Bianchini , Vincent Duchêne

Discrete Morse theory emerged as an essential tool for computational geometry and topology. Its core structures are discrete gradient fields, defined as acyclic matchings on a complex $C$, from which topological and geometrical informations…

Geometric Topology · Mathematics 2018-01-31 Joao Paixao , Joao Lagoas , Thomas Lewiner , Tiago Novello

An ideal compressible fluid is considered, with an equilibrium density being a given function of coordinates due to presence of some static external forces. The slow flows in such system, which do not disturb the density, are investigated…

Fluid Dynamics · Physics 2009-11-06 V. P. Ruban

Normalizing flows are a powerful tool for building expressive distributions in high dimensions. So far, most of the literature has concentrated on learning flows on Euclidean spaces. Some problems however, such as those involving angles,…

For certain pseudo-Anosov flows $\phi$ on closed $3$-manifolds, unpublished work of Agol--Gu\'eritaud produces a veering triangulation $\tau$ on the manifold $M$ obtained by deleting $\phi$'s singular orbits. We show that $\tau$ can be…

Geometric Topology · Mathematics 2022-08-09 Michael P. Landry , Yair N. Minsky , Samuel J. Taylor

In this paper, we show that the action of a characteristically simple, non-extremely amenable (non-strongly amenable, non-amenable) group on its universal minimal (minimal proximal, minimal strongly proximal) flow is effective. We present…

Dynamical Systems · Mathematics 2017-08-09 Xiongping Dai , Eli Glasner

The counting function on the natural numbers defines a discrete Morse-Smale complex with a cohomology for which topological quantities like Morse indices, Betti numbers or counting functions for critical points of Morse index are explicitly…

Combinatorics · Mathematics 2016-08-25 Oliver Knill

On a smooth manifold, we associate to any closed differential form a mapping cone complex. The cohomology of this mapping cone complex can vary with the de Rham cohomology class of the closed form. We present a novel Morse theoretical…

Differential Geometry · Mathematics 2024-06-21 David Clausen , Xiang Tang , Li-Sheng Tseng

Normalizing flows have emerged as an important family of deep neural networks for modelling complex probability distributions. In this note, we revisit their coupling and autoregressive transformation layers as probabilistic graphical…

Machine Learning · Computer Science 2020-06-05 Antoine Wehenkel , Gilles Louppe