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In light of the inherent entailment relations between images and text, hyperbolic point vector embeddings, leveraging the hierarchical modeling advantages of hyperbolic space, have been utilized for visual semantic representation learning.…

Artificial Intelligence · Computer Science 2024-08-21 Zhi Qiao , Linbin Han , Xiantong Zhen , Jia-Hong Gao , Zhen Qian

Accelerated gradient descent iterations are widely used in optimization. It is known that, in the continuous-time limit, these iterations converge to a second-order differential equation which we refer to as the accelerated gradient flow.…

Optimization and Control · Mathematics 2020-06-16 Mohammad Farazmand

This paper establishes limit theorems and quantitative statistical stability for a class of piecewise partially hyperbolic maps that are not necessarily continuous nor locally invertible. By employing a flexible functional-analytic…

Dynamical Systems · Mathematics 2026-02-20 Rafael A. Bilbao , Rafael Lucena

The short time behavior of a disturbed system is influenced by off-shell motion and best characterized by the reduced density matrix possessing high energetic tails. We present analytically the formation of correlations due to collisions in…

Quantum Physics · Physics 2016-11-23 Klaus Morawetz , Václav Špička , Pavel Lipavský

Time-delay embedding is a powerful technique for reconstructing the state space of nonlinear time series. However, the fidelity of reconstruction relies on the assumption that the time-delay map is an embedding, which is implicitly…

Computation · Statistics 2026-02-02 Yiting Duan , Zhikun Zhang , Yi Guo

We consider perturbations of normally hyperbolic invariant manifolds, under which they can lose their hyperbolic properties. We show that if the perturbed map which drives the dynamical system exhibits some topological properties, then the…

Dynamical Systems · Mathematics 2020-03-31 Maciej J. Capinski , Hieronim Kubica

A key technique of machine learning and computer vision is to embed discrete weighted graphs into continuous spaces for further downstream processing. Embedding discrete hierarchical structures in hyperbolic geometry has proven very…

Machine Learning · Computer Science 2023-08-17 Frank Nielsen , Ke Sun

Delay embedding is a commonly employed technique in a wide range of data-driven model reduction methods for dynamical systems, including the Dynamic mode decomposition (DMD), the Hankel alternative view of the Koopman decomposition (HAVOK),…

Dynamical Systems · Mathematics 2023-01-12 Joar Axås , George Haller

We show that for any closed surface of genus greater than one and for any finite weighted graph filling the surface, there exists a hyperbolic metric which realizes the least Dirichlet energy harmonic embedding of the graph among a fixed…

Differential Geometry · Mathematics 2020-07-27 Toru Kajigaya , Ryokichi Tanaka

Snapshot matrices of hyperbolic equations have a slow singular value decay, resulting in inefficient reduced-order models. We develop on the idea of inducing a faster singular value decay by computing snapshots on a transformed spatial…

Numerical Analysis · Mathematics 2020-09-18 Neeraj Sarna , Jan Giesselmann , Peter Benner

While the existence of low-dimensional embedding manifolds has been shown in patterns of collective motion, the current battery of nonlinear dimensionality reduction methods are not amenable to the analysis of such manifolds. This is mainly…

Numerical Analysis · Mathematics 2017-07-21 Kelum Gajamannage , Sachit Butail , Maurizio Porfiri , Erik M. Bollt

We study the rigidity results for self-shrinkers in Euclidean space by restriction of the image under the Gauss map. The geometric properties of the target manifolds carry into effect. In the self-shrinking hypersurface situation Theorem…

Differential Geometry · Mathematics 2012-03-07 Qi Ding , Y. L. Xin , Ling Yang

This article establishes the foundation for a new theory of invariant/integral manifolds for non-autonomous dynamical systems. Current rigorous support for dimensional reduction modelling of slow-fast systems is limited by the rare events…

Dynamical Systems · Mathematics 2022-06-01 A. J. Roberts

The theory of slow invariant manifolds (SIMs) is the foundation of various model-order reduction techniques for dissipative dynamical systems with multiple time-scales, e.g. in chemical kinetic models. The construction of SIMs and many…

Dynamical Systems · Mathematics 2022-01-19 Johannes Poppe , Dirk Lebiedz

Wave front propagation with non-trivial bottom topography is studied within the formalism of hyperbolic long wave models. Evolution of non-smooth initial data is examined, and in particular the splitting of singular points and their short…

Mathematical Physics · Physics 2022-01-06 R. Camassa , R. D'Onofrio , G. Falqui , G. Ortenzi , M. Pedroni

This article proposes a novel methodology to learn a stable robot control law driven by dynamical systems. The methodology requires a single demonstration and can deduce a stable dynamics in arbitrary high dimensions. The method relies on…

Robotics · Computer Science 2022-07-19 Sthithpragya Gupta , Aradhana Nayak , Aude Billard

In this paper we generalize the method of Lagrangian descriptors to two dimensional, area preserving, autonomous and nonautonomous discrete time dynamical systems. We consider four generic model problems--a hyperbolic saddle point for a…

Dynamical Systems · Mathematics 2017-06-01 Carlos Lopesino , Francisco Balibrea-Iniesta , Stephen Wiggins , Ana M. Mancho

In a closed fibered hyperbolic 3-manifold M, the inclusion of a fiber S, with S and M lifted to the universal covers gives an exponentially distorted embedding of the hyperbolic plane into hyperbolic 3-space. Nevertheless, Cannon and…

Geometric Topology · Mathematics 2025-10-24 Vaibhav Gadre , Joseph Maher , Catherine Pfaff , Caglar Uyanik

We study relations between maps between relatively hyperbolic groups/spaces and quasisymmetric embeddings between their boundaries. More specifically, we establish a correspondence between (not necessarily coarsely surjective)…

Geometric Topology · Mathematics 2025-05-14 John M. Mackay , Alessandro Sisto

Any model order reduced dynamical system that evolves a modal decomposition to approximate the discretized solution of a stochastic PDE can be related to a vector field tangent to the manifold of fixed rank matrices. The Dynamically…

Dynamical Systems · Mathematics 2018-04-04 Florian Feppon , Pierre F. J. Lermusiaux