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Normalizing flow-based sampling methods have been successful in tackling computational challenges traditionally associated with simulating lattice quantum field theories. Further works have incorporated gauge and translational invariance of…

High Energy Physics - Lattice · Physics 2023-04-05 Dinesh P. R.

Macroscopic and microscopic properties of dense granular layers flowing down inclined planes are obtained from Discrete-Element-Method simulations for both frictionless and frictional grains. Three fundamental observations for dense…

Disordered Systems and Neural Networks · Physics 2022-10-06 Denis Dumont , Haggai Bonneau , Thomas Salez , Elie Raphael , Pascal Damman

We introduce a generalization of the notion of Anosov representations by restricting to invariant closed geodesic subflows. Examples of such representations include many non-discrete representations with good geometric properties, such as…

Differential Geometry · Mathematics 2023-03-20 Tianqi Wang

We give a new description of the Arnoux-Yoccoz mapping classes as a product of two Dehn twists and a finite order element. The construction is analogous to Penner's construction of mapping classes with small stretch factors.

Geometric Topology · Mathematics 2020-10-30 Livio Liechti , Balázs Strenner

A discrete model of traffic on a multilane road is considered. The traffic is presented as particles movement with a deterministic component and a stochastic one. Formulas for the traffic characteristics have been found. The model can…

Physics and Society · Physics 2007-05-23 A. P. Buslaev , V. M. Prikhodko , A. G. Tatashev , M. V. Yashina

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

The geodesic flow of the flat metric on a torus is minimizing the polynomial entropy among all geodesic flows on this torus. We prove here that this properties characterises the flat metric on the two torus.

Dynamical Systems · Mathematics 2014-06-04 Patrick Bernard , Clémence Labrousse

The dynamical analysis of shear flows remains challenging, as turbulence generation and evolution are not fully understood. Here, a lesser-explored feature of incompressible shear flows-the absorbing zone-is investigated. This region in the…

Fluid Dynamics · Physics 2025-07-25 Péter Tamás Nagy

We show that any discrete group containing an infinite, normal, maximally almost periodic subgroup has the Bernoulli Disjointness Property, or BDJ. Also, any group containing enough infinite normal subgroups to separate points has the BDJ.…

Dynamical Systems · Mathematics 2019-01-14 Andy Zucker

We study a class of geometric Lorenz flows, introduced independently by Afraimovic, Bykov & Sil'nikov and by Guckenheimer & Williams, and give a verifiable condition for such flows to be mixing. As a consequence, we show that the classical…

Dynamical Systems · Mathematics 2012-11-07 Stefano Luzzatto , Ian Melbourne , Frederic Paccaut

Normalizing flows have received a great deal of recent attention as they allow flexible generative modeling as well as easy likelihood computation. While a wide variety of flow models have been proposed, there is little formal understanding…

Machine Learning · Computer Science 2020-06-02 Zhifeng Kong , Kamalika Chaudhuri

If $(M,g)$ is a smooth compact rank $1$ Riemannian manifold without focal points, it is shown that the measure $\mu_{\max}$ of maximal entropy for the geodesic flow is unique. In this article, we study the statistic properties and prove…

Dynamical Systems · Mathematics 2018-12-04 Fei Liu , Xiaokai Liu , Fang Wang

A well-known property of linear resistive electrical networks is that the current distribution minimizes the total dissipated energy. When the circuit includes resistors with nonlinear monotonic characteristic, the current distribution…

Optimization and Control · Mathematics 2022-02-17 Franco Blanchini , Daniele Casagrande , Filippo Fabiani , Giulia Giordano , David Palma , Raffaele Pesenti

Over the last 10 years or so, advanced statistical properties, including exponential decay of correlations, have been established for certain classes of singular hyperbolic flows in three dimensions. The results apply in particular to the…

Dynamical Systems · Mathematics 2019-04-25 Vitor Araujo , Ian Melbourne

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,…

Recent progress in colloidal science has led to elaborate self-assembled structures whose complexity raises hopes for elaborating new materials. However, the throughputs are extremely low and consequently, the chance to produce materials of…

Soft Condensed Matter · Physics 2014-09-16 Bingqing Shen , Joshua Ricouvier , Mathilde Reyssat , Florent Malloggi , Patrick Tabeling

In this paper we study the diffeomorphism centralizer of a vector field: given a vector field it is the set of diffeomorphisms that commutes with the flow. Our main theorem states that for a $C^1$-generic diffeomorphism having at most…

Dynamical Systems · Mathematics 2019-03-15 Davi Obata

We investigate steady granular surface flows in a rotating drum and demonstrate the existence of rigid clusters of grains embedded in the flowing layer. These clusters are fractal and their size is power-law distributed from the grain size…

Condensed Matter · Physics 2016-02-26 D. Bonamy , F. Daviaud , L. Laurent , M. Bonetti , J. P. Bouchaud

Generalizing a result of Furstenberg, we show that for every infinite discrete group $G$, the Bernoulli flow $2^G$ is disjoint from every minimal $G$-flow. From this, we deduce that the algebra generated by the minimal functions…

Dynamical Systems · Mathematics 2023-02-22 Eli Glasner , Todor Tsankov , Benjamin Weiss , Andy Zucker

Navigability, an ability to find a logarithmically short path between elements using only local information, is one of the most fascinating properties of real-life networks. However, the exact mechanism responsible for the formation of…

Physics and Society · Physics 2016-07-26 Yury A. Malkov , Alexander Ponomarenko
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