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相关论文: Computation of Finite Time Lyapunov Exponents usin…

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Finite-time Lyapunov exponents (FTLEs) provide a powerful approach to compute time-varying analogs of invariant manifolds in unsteady fluid flow fields. These manifolds are useful to visualize the transport mechanisms of passive tracers…

最优化与控制 · 数学 2023-05-19 Kartik Krishna , Steven L. Brunton , Zhuoyuan Song

While more rigorous and sophisticated methods for identifying Lagrangian based coherent structures exist, the finite-time Lyapunov exponent (FTLE) field remains a straightforward and popular method for gaining some insight into transport by…

动力系统 · 数学 2015-06-24 Michael R. Allshouse , Thomas Peacock

Lagrangian techniques, such as the finite-time Lyapunov exponent (FTLE) and hyperbolic Lagrangian coherent structures (LCS), have become popular tools for analyzing unsteady fluid flows. These techniques identify regions where particles…

混沌动力学 · 物理学 2020-10-27 Peter J. Nolan , Mattia Serra , Shane D. Ross

This paper compares the advantages, limitations, and computational considerations of using Finite-Time Lyapunov Exponents (FTLEs) and Lagrangian Descriptors (LDs) as tools for identifying barriers and mechanisms of fluid transport in…

流体动力学 · 物理学 2021-03-30 Timothy Getscher

We use finite-time Lyapunov exponent (FTLE) distributions to probe transition mechanisms in high-dimensional reservoir maps trained on low-dimensional chaotic dynamics across multiple regimes. While trained reservoirs accurately predict…

混沌动力学 · 物理学 2026-04-28 Dishant Sisodia , Sarika Jalan

We investigate finite-time Lyapunov exponents (FTLEs), a measure for exponential separation of input perturbations, of deep neural networks within the framework of continuous-depth neural ODEs. We demonstrate that FTLEs are powerful…

动力系统 · 数学 2026-02-11 Tobias Wöhrer , Christian Kuehn

In the context of the analysis of the chaotic properties of homogeneous and isotropic turbulence, direct numerical simulations are used to study the fluctuations of the finite time Lyapunov exponent (FTLE) and its relation to Reynolds…

流体动力学 · 物理学 2020-02-19 Richard Ho , Andres Armua , Arjun Berera

We review and discuss some different techniques for describing local dispersion properties in fluids. A recent Lagrangian diagnostics, based on the Finite Scale Lyapunov Exponent (FSLE), is presented and compared to the Finite Time Lyapunov…

混沌动力学 · 物理学 2009-11-07 G. Boffetta , G. Lacorata , G. Redaelli , A. Vulpiani

High-dimensional chaotic dynamical systems can exhibit strongly transient features. These are often associated with instabilities that have finite-time duration. Because of the finite-time character of these transient events, their…

动力系统 · 数学 2017-06-28 Hessam Babaee , Mohamad Farazmand , George Haller , Themistoklis P. Sapsis

Resonances of the time evolution (Frobenius-Perron) operator P for phase space densities have recently been shown to play a key role for the interrelations of classical, semiclassical and quantum dynamics. Efficient methods to determine…

混沌动力学 · 物理学 2009-10-31 Joachim Weber , Fritz Haake , Petr Seba

The subleading eigenvalues and associated eigenfunctions of the Perron-Frobenius operator for 2-dimensional area-preserving maps are numerically investigated. We closely examine the validity of the so-called Ulam method, a numerical scheme…

混沌动力学 · 物理学 2022-01-03 Kensuke Yoshida , Hajime Yoshino , Akira Shudo , Domenico Lippolis

The identification and visualization of Lagrangian structures in flows plays a crucial role in the study of dynamic systems and fluid dynamics. The Finite Time Lyapunov Exponent (FTLE) has been widely used for this purpose; however, it only…

动力系统 · 数学 2024-01-18 Yun Chen Tsai , Shingyu Leung

We analyze stochastic partial differential equations (SPDEs) with quadratic nonlinearities close to a change of stability. To this aim we compute finite-time Lyapunov exponents (FTLEs), observing a change of sign based on the interplay…

概率论 · 数学 2026-02-11 Alexandra Blessing , Dirk Blömker

FTLE (Finite Time Lyapunov Exponent) computation is one of the standard approaches to Lagrangian flow analysis. The main features of interest in FTLE fields are ridges that represent hyperbolic Lagrangian Coherent Structures. FTLE ridges…

流体动力学 · 物理学 2024-01-10 Janos Zimmermann , Michael Motejat , Christian Rössl , Holger Theisel

We propose a new Eulerian numerical approach for constructing the forward flow maps in continuous dynamical systems. The new algorithm improves the original formulation developed in [23, 24] so that the associated partial differential…

动力系统 · 数学 2017-06-15 Guoqiao You , Tony Wong , Shingyu Leung

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…

混沌动力学 · 物理学 2026-05-28 Yazhini Muruganantham , Andrei Velichko , Samidurai Rajendran

The study of transport and mixing processes in dynamical systems is particularly important for the analysis of mathematical models of physical systems. Barriers to transport, which mitigate mixing, are currently the subject of intense…

动力系统 · 数学 2015-06-11 Gary Froyland

In this paper we present a numerical solution of a two-phase fractional Stefan problem with time derivative described in the Caputo sense. In the proposed algorithm, we use a special case of front-fixing method supplemented by the iterative…

数值分析 · 数学 2018-10-30 Marek Błasik

We propose a method for computing the transfer entropy between time series using Ulam's approximation of the Perron-Frobenius (transfer) operator associated with the map generating the dynamics. Our method differs from standard transfer…

混沌动力学 · 物理学 2019-04-24 David Diego , Kristian Agasøster Haaga , Bjarte Hannisdal

Numerical solutions for the optimal feedback stabilization of discrete time dynamical systems is the focus of this paper. Set-theoretic notion of almost everywhere stability introduced by the Lyapunov measure, weaker than conventional…

最优化与控制 · 数学 2017-02-20 Arvind Raghunathan , Umesh Vaidya
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