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We study a class of ordinary differential equations with a non-Lipschitz point singularity, which admit non-unique solutions through this point. As a selection criterion, we introduce stochastic regularizations depending on the parameter…

Dynamical Systems · Mathematics 2024-11-20 Theodore D. Drivas , Alexei A. Mailybaev , Artem Raibekas

This paper presents a nonlinear dynamical model which consists the system of differential and operator equations. Here differential equation contains a nonlinear operator acting in Banach space, a nonlinear operator equation with respect to…

Dynamical Systems · Mathematics 2018-07-30 Nikolai Sidorov , Denis Sidorov , Yong Li

The concept of random dynamical system is a comparatively recent development combining ideas and methods from the well developed areas of probability theory and dynamical systems. Due to our inaccurate knowledge of the particular physical…

Dynamical Systems · Mathematics 2007-05-23 Vitor Araujo

This paper deals with the multivalued non-autonomous random dynamical system generated by the non-autonomous stochastic wave equations on unbounded domains, which has a non-Lipschitz nonlinearity with critical exponent in the three…

Analysis of PDEs · Mathematics 2015-07-09 Bixiang Wang

The classical global linearization theorem for autonomous system given in [C. Pugh, Amer. J. Math., 91 (1969) 363-367] requires that nonlinear system with hyperbolicity satisfies boundedness and Lipschitz continuity.In this paper, we…

Dynamical Systems · Mathematics 2025-07-18 Weijie Lu , Yonghui Xia

Given a nonautonomous and nonlinear differential equation \begin{equation}\label{DE} x'=A(t)x+f(t,x) \quad t\geq 0, \end{equation} on an arbitrary Banach space $X$, we formulate very general conditions for the associated linear equation…

Dynamical Systems · Mathematics 2021-05-27 Lucas Backes , Davor Dragičević

We develop a linear systems theory that coincides with the existing theories for continuous and discrete dynamical systems, but that also extends to linear systems defined on nonuniform time domains. The approach here is based on…

Optimization and Control · Mathematics 2009-03-03 John M. Davis , Ian A. Gravagne , Billy J. Jackson , Robert J. Marks

We develop a generalized stability framework for stochastic discrete-time systems, where the generality pertains to the ways in which the distribution of the state energy can be characterized. We use tools from finance and operations…

Systems and Control · Electrical Eng. & Systems 2022-11-23 Margaret P. Chapman , Dionysios S. Kalogerias

We consider a system of several nonlinear equations with a distributed delay and obtain absolute asymptotic stability conditions, independent of the delay. The ideas of the proofs are based on the notion of a strong attractor. The results…

Dynamical Systems · Mathematics 2021-05-26 Leonid Berezansky , Elena Braverman

We propose a notion of random horseshoe and prove density of random horseshoes for non uniformly expanding random dynamical systems with additive noise

Dynamical Systems · Mathematics 2025-01-30 Jeroen S. W. Lamb , Giuseppe Tenaglia , Dmitry Turaev

We prove structural stability under perturbations for a class of discrete-time dynamical systems near a non-hyperbolic fixed point. We reformulate the stability problem in terms of the well-posedness of an infinite-dimensional nonlinear…

Dynamical Systems · Mathematics 2015-11-05 Roland Bauerschmidt , David C. Brydges , Gordon Slade

In this manuscript, we have considered the system governed by a noninstantaneous impulsive dynamical system of integer order with classical and nonlocal conditions and derived sufficient conditions for the trajectory controllability of the…

Dynamical Systems · Mathematics 2022-02-15 Vishant Shah , Kalpesh Bharvad , Dipsha Bhadrecha , Aashi Maratha , Jaita Sharma , Dhanesh Patel

We introduce a Banach space-valued extension of random feature learning, a data-driven supervised machine learning technique for large-scale kernel approximation. By randomly initializing the feature maps, only the linear readout needs to…

Machine Learning · Computer Science 2026-04-28 Ariel Neufeld , Philipp Schmocker

We investigate the longtime behavior of stochastic partial differential equations (SPDEs) with differential operators that depend on time and the underlying probability space. In particular, we consider stochastic parabolic evolution…

Probability · Mathematics 2021-02-10 Christian Kuehn , Alexandra Neamtu , Stefanie Sonner

In this paper some general theory is presented for locally stationary processes based on the stationary approximation and the stationary derivative. Laws of large numbers, central limit theorems as well as deterministic and stochastic bias…

Statistics Theory · Mathematics 2017-11-21 Rainer Dahlhaus , Stefan Richter , Wei Biao Wu

We present a framework to calculate large deviations for nonlinear functions of independent random variables supported on compact sets in Banach spaces, by extending the result in Chatterjee and Dembo [6]. Previous research on nonlinear…

Probability · Mathematics 2018-07-12 Jun Yan

We obtain a local stable manifold theorem for perturbations of nonautonomous linear difference equations possessing a very general type of nonuniform dichotomy, possibly with different growth rates in the uniform and nonuniform parts. We…

Dynamical Systems · Mathematics 2011-05-12 António J. G. Bento , César M. Silva

We study the existence of solutions arising from the modelling of elastic materials using generalized theories of continua. In view of some evidence from physics of meta-materials we focus our effort on two recent nonstandard relaxed…

Analysis of PDEs · Mathematics 2019-02-12 Sebastian Owczarek , Ionel-Dumitrel Ghiba , Marco-Valerio d'Agostino , Patrizio Neff

We show that an equilibriumlike additivity property can remarkably lead to power-law distributions observed frequently in a wide class of out-of-equilibrium systems. The additivity property can determine the full scaling form of the…

Statistical Mechanics · Physics 2015-12-17 Arghya Das , Sayani Chatterjee , Punyabrata Pradhan , P. K. Mohanty

We study the properties of "generic", in the sense of the Haar measure on the corresponding Grassmann manifold, subspaces of l^N_infinity of given dimension. We prove that every "well bounded" operator on such a subspace, say E, is a…

Functional Analysis · Mathematics 2016-09-06 P. Mankiewicz , Stanislaw J. Szarek
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