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Finite-time stability (FTS) of a differential equation guarantees that solutions reach a given equilibrium point in finite time, where the time of convergence depends on the initial state of the system. For traditional stability notions…

Optimization and Control · Mathematics 2025-06-17 Sengiyumva Kisole , Kunal Garg , Matthew Peet

To each flat conformal structure (FCS) of hyperbolic type in the sense of Kulkarni-Pinkall, we associate, for all $\theta\in[(n-1)\pi/2,n\pi/2[$ and for all $r>\opTan(\theta/n)$ a unique immersed hypersurface…

Differential Geometry · Mathematics 2009-08-26 Graham Smith

In statistical mechanics, observables are usually related to local degrees of freedom such as the Q < 4 distinct states of the Q-state Potts models or the heights of the restricted solid-on-solid models. In the continuum scaling limit,…

Statistical Mechanics · Physics 2009-11-13 Yvan Saint-Aubin , Paul A. Pearce , Jorgen Rasmussen

Understanding and quantifying chaos from data remains challenging. We present a data-driven method for estimating the largest Lyapunov exponent (LLE) from one-dimensional chaotic time series using machine learning. A predictor is trained to…

Chaotic Dynamics · Physics 2025-10-03 A. Velichko , M. Belyaev , P. Boriskov

Complex-valued bidirectional associative memory (BAM) neural networks with fractional-order dynamics and delays can exhibit transient instabilities that degrade synchronization and short-horizon predictability. This paper develops a unified…

Chaotic Dynamics · Physics 2026-05-28 Yazhini Muruganantham , Andrei Velichko , Samidurai Rajendran

Finite-time Lyapunov exponents and vectors are used to define and diagnose boundary-layer type, two-timescale behavior in the tangent linear dynamics and to determine the associated manifold structure in the flow of a finite-dimensional…

Dynamical Systems · Mathematics 2014-07-21 K. D. Mease , U. Topcu , E. Aykutlug , M. Maggia

While there has been increasing interest in using neural networks to compute Lyapunov functions, verifying that these functions satisfy the Lyapunov conditions and certifying stability regions remain challenging due to the curse of…

Systems and Control · Electrical Eng. & Systems 2024-03-18 Jun Liu , Yiming Meng , Maxwell Fitzsimmons , Ruikun Zhou

High-accuracy and high-efficiency finite-time Lyapunov exponent (FTLE) calculation method has long been a research hot point, and adaptive refinement method is a kind of method in this field. The proposed objective-adaptive refinement (OAR)…

Fluid Dynamics · Physics 2021-04-27 Haotian Hang , Bin Yu , Yang Xiang , Bin Zhang , Hong Liu

In this paper we study the affine geometric structure of the graph of a polynomial $f \in \mathbb{R} [x,y]$. We provide certain criteria to determine when the parabolic curve is compact and when the unbounded component of its complement is…

Differential Geometry · Mathematics 2017-05-02 Miguel Angel Guadarrama-García , Adriana Ortiz-Rodríguez

A mechanical model and numerical method for the simultaneous analysis of Reissner-Mindlin shells with geometries implied by a continuous set of level sets (isosurfaces) over some three-dimensional bulk domain is presented. A…

Computational Engineering, Finance, and Science · Computer Science 2025-02-14 Michael Wolfgang Kaiser , Thomas-Peter Fries

This thesis aims to explore the structure of CFTs with global internal symmetries and beyond via the Large-Charge Expansion (LCE), a semi-classical expansion applicable for states with large global quantum numbers. In the first part of this…

High Energy Physics - Theory · Physics 2023-11-22 Rafael Moser

Analysis of Lagrangian Coherent Structures (LCSs) has been showed to be a valid mathematical approach to explain the formation of transport barriers in magnetized plasmas. Such LCSs, borrowed from fluid dynamics theory, can be considered as…

Local adaptivity and mesh refinement are key to the efficient simulation of wave phenomena in heterogeneous media or complex geometry. Locally refined meshes, however, dictate a small time-step everywhere with a crippling effect on any…

Numerical Analysis · Mathematics 2017-03-24 Marcus J. Grote , Michaela Mehlin , Stefan Sauter

We show that a sectional-hyperbolic attracting set for a H\"older-$C^1$ vector field admits finitely many physical/SRB measures whose ergodic basins cover Lebesgue almost all points of the basin of topological attraction. In addition, these…

Dynamical Systems · Mathematics 2021-09-07 Vitor Araujo

Quantum coherence reflects the origin of quantumness and might be capable of extracting the subtle nature of a system. We investigate the ground-state coherence and steered coherence in the Lipkin-Meshkov-Glick model and show that they…

Quantum Physics · Physics 2021-12-14 Ming-Liang Hu , Fan Fang , Heng Fan

In this paper, we study the limit measures of the empirical measures of Lebesgue almost every point in the basin of a partially hyperbolic attractor. They are strongly related to a notion named Gibbs u-state, which can be defined in a large…

Dynamical Systems · Mathematics 2018-12-24 Sylvain Crovisier , Dawei Yang , Jinhua Zhang

We study several new invariants associated to a holomorphic projective structure on a Riemann surface of finite analytic type: the Lyapunov exponent of its holonomy which is of probabilistic/dynamical nature and was introduced in our…

Geometric Topology · Mathematics 2017-10-18 Bertrand Deroin , Romain Dujardin

We provide a comprehensive view of various phase transitions in random $K$-satisfiability problems solved by stochastic-local-search algorithms. In particular, we focus on the finite-size scaling (FSS) exponent, which is mathematically…

Statistical Mechanics · Physics 2015-03-17 Sang Hoon Lee , Meesoon Ha , Chanil Jeon , Hawoong Jeong

We present a model-theoretic property of finite structures, that can be seen to be a finitary analogue of the well-studied downward L\"owenheim-Skolem property from classical model theory. We call this property as the…

Logic in Computer Science · Computer Science 2017-05-15 Abhisekh Sankaran

Analyzing the clustering of galaxies at the field level in principle promises access to all the cosmological information available. Given this incentive, in this paper we investigate the performance of field-based forward modeling approach…

Cosmology and Nongalactic Astrophysics · Physics 2023-07-31 Andrija Kostić , Nhat-Minh Nguyen , Fabian Schmidt , Martin Reinecke
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