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A sectional-Anosov flow on a manifold M is a C^1 vector field inwardly transverse to the boundary for which the maximal invariant is sectional-hyperbolic. We prove that every attractor of every vector field C^1 close to a transitive…

Dynamical Systems · Mathematics 2013-09-02 A. M. López

The flow equivalence of sofic shifts is examined using results about the structure of the corresponding covers. A canonical cover generalising the left Fischer cover to arbitrary sofic shifts is introduced and used to prove that the left…

Dynamical Systems · Mathematics 2012-10-12 Rune Johansen

In this paper, we introduce a class of new logarithmic curvature flow. The flows are designed to embrace the monotonicity of the related functional, and the convergence of this flow would tackle the solvability of the weighted…

Analysis of PDEs · Mathematics 2023-06-16 Jinrong Hu , Qiongfang Mao

In a previous work, hep-th/0501245, we introduced characters and classes built out of the M-theory four-form and the Pontrjagin classes, which we used to express the Chern-Simons and the one-loop terms in a way that makes the topological…

High Energy Physics - Theory · Physics 2010-04-05 Hisham Sati

The theory of flows was used as a crucial tool in the recent proof by Margolis, Rhodes and Schilling that Krohn-Rhodes complexity is decidable. In this paper we begin a systematic study of aperiodic flows. We give the foundations of the…

Dynamical Systems · Mathematics 2025-02-04 Stuart Margolis , John Rhodes

In the present paper we study the C1-robustness of the three properties: average shadowing, asymptotic average shadowing and limit shadowing within two classes of conservative flows: the incompressible and the Hamiltonian ones. We obtain…

Dynamical Systems · Mathematics 2014-07-30 Mario Bessa , Raquel Ribeiro

An operator space analysis of quantum stochastic cocycles is undertaken. These are cocycles with respect to an ampliated CCR flow, adapted to the associated filtration of subspaces, or subalgebras. They form a noncommutative analogue of…

Operator Algebras · Mathematics 2011-01-04 J. Martin Lindsay , Stephen J. Wills

We consider the motion of an incompressible viscous fluid filling the whole space exterior to a moving with rotation and translation obstacle. We show that the Stokes operator around the steady flow in the exterior of this obstacle…

Analysis of PDEs · Mathematics 2020-03-17 Jingyue Li , Changxing Miao , Xiaoxin Zheng

Consider an arbitrary closed, countably $n$-rectifiable set in a strictly convex $(n+1)$-dimensional domain, and suppose that the set has finite $n$-dimensional Hausdorff measure and the complement is not connected. Starting from this given…

Analysis of PDEs · Mathematics 2021-01-29 Salvatore Stuvard , Yoshihiro Tonegawa

Normalising flows offer a flexible way of modelling continuous probability distributions. We consider expressiveness, fast inversion and exact Jacobian determinant as three desirable properties a normalising flow should possess. However,…

Machine Learning · Computer Science 2021-10-27 Yumou Wei

Inspired by work of Besson-Courtois-Gallot, we construct a flow called the natural flow on a non-positively curved Riemannian manifold $M$. As with the natural map, the $k$-Jacobian of the natural flow is directly related to the critical…

Differential Geometry · Mathematics 2026-03-27 Chris Connell , D. B. McReynolds , Shi Wang

When $G$ is a Polish group, metrizability of the universal minimal flow has been shown to be a robust dividing line in the complexity of the topological dynamics of $G$. We introduce a class of groups, the CAP groups, which provides a neat…

Dynamical Systems · Mathematics 2023-02-06 Gianluca Basso , Andy Zucker

Given a non-compact semisimple real Lie group $G$ and an Anosov subgroup $\Gamma$, we utilize the correspondence between $\mathbb R$-valued additive characters on Levi subgroups $L$ of $G$ and $\mathbb R$-affine homogeneous line bundles…

Geometric Topology · Mathematics 2025-09-22 Benjamin Delarue , Daniel Monclair , Andrew Sanders

In the present paper, we propose a new construction of quantum Markov fields on arbitrary connected, infinite, locally finite graphs. The construction is based on a specific tessellation on the considered graph, that allows us to express…

Operator Algebras · Mathematics 2017-08-25 Luigi Accardi , Farrukh Mukhamedov , Abdessatar Souissi

We study a class of ergodic quantum Markov semigroups on finite-dimensional unital $C^*$-algebras. These semigroups have a unique stationary state $\sigma$, and we are concerned with those that satisfy a quantum detailed balance condition…

Operator Algebras · Mathematics 2017-04-27 Eric A. Carlen , Jan Maas

Hamiltonian flows on compact surfaces are characterized, and the topological invariants of such flows with finitely many singular points are constructed from the viewpoints of integrable systems, fluid mechanics, and dynamical systems.…

Dynamical Systems · Mathematics 2022-06-24 Tomoo Yokoyama

We prove that every $C^1$ generic three-dimensional flow has either infinitely many sinks, or, infinitely many hyperbolic or singular-hyperbolic attractors whose basins form a full Lebesgue measure set. We also prove in the orientable case…

Dynamical Systems · Mathematics 2013-08-09 A. Arbieto , A. Rojas , B. Santiago

In this paper we present a new approach to Morse theory based on the de Rham-Federer theory of currents. The full classical theory is derived in a transparent way. The methods carry over uniformly to the equivariant and the holomorphic…

Differential Geometry · Mathematics 2012-08-27 F. Reese Harvey , H. Blaine Lawson,

In the paper "Formality conjecture" (1996) Kontsevich designed a universal flow $\dot{\mathcal{P}}=\mathcal{Q}_{a:b}(\mathcal{P})=a\Gamma_{1}+b\Gamma_{2}$ on the spaces of Poisson structures $\mathcal{P}$ on all affine manifolds of…

Differential Geometry · Mathematics 2017-02-21 Anass Bouisaghouane

To overcome topological constraints and improve the expressiveness of normalizing flow architectures, Wu, K\"ohler and No\'e introduced stochastic normalizing flows which combine deterministic, learnable flow transformations with stochastic…

Machine Learning · Computer Science 2022-12-02 Paul Hagemann , Johannes Hertrich , Gabriele Steidl