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Related papers: Lyapunov Exponents for Unitary Anderson Models

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This paper is concerned with the study of random (Bernoulli and Markovian) product of matrices on a compact space of symbols. We establish the analyticity of the maximal Lyapunov exponent as a function of the transition probabilities, thus…

Dynamical Systems · Mathematics 2026-01-22 Artur Amorim , Marcelo Durães , Aline Melo

The problem of analytical estimation of the Lyapunov exponents and Lyapunov timescales of the motion in multiplets of interacting nonlinear resonances is considered. To this end, we elaborate a unified framework, based on the separatrix map…

Earth and Planetary Astrophysics · Physics 2024-11-05 Ivan I. Shevchenko

In some quasi-one-dimensional weakly disordered media, impurities are large and rare rather than small and dense. For an Anderson model with a low density of strong impurities, a perturbation theory in the impurity density is developed for…

Mathematical Physics · Physics 2015-06-26 Hermann Schulz-Baldes

We consider a large class of 2D area-preserving diffeomorphisms that are not uniformly hyperbolic but have strong hyperbolicity properties on large regions of their phase spaces. A prime example is the Standard map. Lower bounds for…

Dynamical Systems · Mathematics 2017-01-27 Alex Blumenthal , Jinxin Xue , Lai-Sang Young

We continue our study of the parabolic Anderson equation $\partial u/\partial t = \kappa\Delta u + \gamma\xi u$ for the space-time field $u\colon\,\Z^d\times [0,\infty)\to\R$, where $\kappa \in [0,\infty)$ is the diffusion constant,…

Probability · Mathematics 2011-07-15 Jürgen Gärtner , Frank den Hollander , Grégory Maillard

The parabolic Anderson model is defined as the partial differential equation \partial u(x,t)/\partial t = \kappa\Delta u(x,t) + \xi(x,t)u(x,t), x\in\Z^d, t\geq 0, where \kappa \in [0,\infty) is the diffusion constant, \Delta is the discrete…

Probability · Mathematics 2016-05-25 Dirk Erhard , Frank den Hollander , Gregory Maillard

We study discontinuity of the Lyapunov exponent. We construct a limit-periodic Schr\"odinger operator, of which the Lyapunov exponent has a positive measure set of discontinuities. We also show that the limit-periodic potentials, whose…

Spectral Theory · Mathematics 2015-03-17 Zheng Gan , Helge Krueger

This paper establishes dynamical localization properties of certain families of unitary random operators on the d-dimensional lattice in various regimes. These operators are generalizations of one-dimensional physical models of quantum…

Mathematical Physics · Physics 2015-05-13 Eman Hamza , Alain Joye , Günter Stolz

The Anderson model for independent electrons in a disordered potential is transformed analytically and exactly to a basis of random extended states leading to a variant of augmented space. In addition to the widely-accepted phase diagrams…

Strongly Correlated Electrons · Physics 2007-05-23 Nigel Goldenfeld , Roger Haydock

We exploit the analogy between dynamics of inertial particle pair separation in a random-in-time flow and the Anderson model of a quantum particle on the line in a spatially random real-valued potential. Thereby we get an exact formula for…

Chaotic Dynamics · Physics 2007-05-23 Peter Horvai

The Lyapunov exponent corresponding to a set of square matrices $\mathcal{A} = \{A_1, \dots, A_n \}$ and a probability distribution $p$ over $\{1, \dots, n\}$ is $\lambda(\mathcal{A},p) := \lim_{k \to \infty} \frac{1}{k} \,\mathbb{E} \log…

Optimization and Control · Mathematics 2020-06-30 Jason M. Altschuler , Pablo A. Parrilo

We consider the parabolic Anderson model (PAM) which is given by the equation $\partial u/\partial t = \kappa\Delta u + \xi u$ with $u\colon\, \Z^d\times [0,\infty)\to \R$, where $\kappa \in [0,\infty)$ is the diffusion constant, $\Delta$…

Probability · Mathematics 2011-03-24 Fabienne Castell , Onur Gün , Grégory Maillard

For a strongly dissipative H\'enon-like map at the first bifurcation parameter at which the uniform hyperbolicity is destroyed by the formation of tangencies inside the limit set, we effect a multifractal analysis, i.e., decompose the set…

Dynamical Systems · Mathematics 2015-02-03 Hiroki Takahasi

The variance of the Lyapunov exponent is calculated exactly in the one-dimensional Anderson model with random site energies distributed according to the Cauchy distribution. We derive an exact analytical criterion for the validity of the…

Disordered Systems and Neural Networks · Physics 2009-11-07 Lev I. Deych , A. A. Lisyansky , B. L. Altshuler

Lyapunov exponents can be difficult to determine from experimental data. In particular, when using embedding theory to build chaotic attractors in a reconstruction space, extra "spurious" Lyapunov exponents arise that are not Lyapunov…

Chaotic Dynamics · Physics 2007-05-23 Joshua A. Tempkin

In this paper, a necessary and sufficient condition for the stability of Lyapunov exponents of linear differential system are proved in the sense that the equations satisfy the weaker form of integral separation instead of its classical…

Dynamical Systems · Mathematics 2019-02-13 H. Zhu , Z. Li , X. He

In this paper we consider the problem of determining the stability properties, and in particular assessing the exponential stability, of a singularly perturbed linear switching system. One of the challenges of this problem arises from the…

Dynamical Systems · Mathematics 2022-05-17 Yacine Chitour , Ihab Haidar , Paolo Mason , Mario Sigalotti

We analyze the exponential stability of distributed parameter systems. The system we consider is described by a coupled parabolic partial differential equation with spatially varying coefficients. We approximate the coefficients by…

Optimization and Control · Mathematics 2019-05-21 Masashi Wakaiki

We consider unitary analogs of $1-$dimensional Anderson models on $l^2(\Z)$ defined by the product $U_\omega=D_\omega S$ where $S$ is a deterministic unitary and $D_\omega$ is a diagonal matrix of i.i.d. random phases. The operator $S$ is…

Mathematical Physics · Physics 2009-11-11 Eman Hamza , Alain Joye , Gunter Stolz

We consider three matrix models of order 2 with one random entry $\epsilon$ and the other three entries being deterministic. In the first model, we let $\epsilon\sim\textrm{Bernoulli}\left(\frac{1}{2}\right)$. For this model we develop a…

Probability · Mathematics 2020-04-07 Rajeshwari Majumdar , Phanuel Mariano , Hugo Panzo , Lowen Peng , Anthony Sisti