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The aim of this research is to introduce the notion of multi-transitivity in non-autonomous discrete dynamical systems(NDDS) with respect to a vector. Necessary and sufficient conditions are obtained under which a NDDS is multitransitive…

Functional Analysis · Mathematics 2023-05-26 Neelam Shah Jahan

In this paper, we study properties of sensitivity, transitivity and chaos for non-autonomous discrete systems(NDS). Firstly, we present some different sufficient conditions for NDS to be chaotic. Then, we relate the transitivity with the…

Dynamical Systems · Mathematics 2024-10-18 Hongbo Zeng

We consider two types of dynamical systems namely non-autonomous discrete dynamical systems(NDDS) and generic dynamical systems(GDS). In both of them, we study various notions of transitivity. We give many equivalent conditions for each of…

Dynamical Systems · Mathematics 2025-01-22 Chiranjeevi Perikala , Rameshwari Gupta

This paper is concerned with some stronger forms of transitivity in non-autonomous discrete systems$(f_{ 1,\infty})$ generated by a uniformly convergent sequence of continuous self maps. Firstly, we present two counterexamples to show that…

Dynamical Systems · Mathematics 2025-06-02 Hongbo Zeng

We introduce the concept of multi-sensitivity with respect to a vector for a non-autonomous discrete system. We prove that for a periodic non-autonomous system on the closed unit interval, sensitivity is equivalent to strong…

Dynamical Systems · Mathematics 2023-03-20 Mohammad Salman , Ruchi Das

For discrete autonomous dynamical systems (ADS) $(X, d, f)$, it was found that in the three conditions defining Devaney chaos, topological transitivity and dense periodic points together imply sensitive dependence on initial…

Dynamical Systems · Mathematics 2016-02-02 Chengyu Yang , Zhiming Li

For a commutative non-autonomous dynamical system we show that topological transitivity of the non-autonomous system induced on probability measures (hyperspaces) is equivalent to the weak mixing of the induced systems. Several counter…

Dynamical Systems · Mathematics 2019-09-05 Mohammad Salman , Ruchi Das

Recently, two stronger versions of dynamical properties have been introduced and investigated: strong topological transitivity, which is a stronger version of the topological transitivity property, and hypermixing, which is a stronger…

Functional Analysis · Mathematics 2023-04-06 Ian Curtis , Sean Griswold , Abigail Halverson , Eric Stilwell , Sarah Teske , David Walmsley , Shaozhe Wang

We study metric versions of transitivity, mixing, and hypercyclicity for continuous maps, based on intersections of the form \( f^{n}(U)\cap B_{\delta}(V)\neq\varnothing. \) We introduce $\delta$-topological transitivity,…

Functional Analysis · Mathematics 2026-04-21 Hadi Obaid Alshammari , Otmane Benchiheb , Dimitrios Chiotis

Let $(X, f)$ be a topological dynamical system and $\mathcal {F}$ be a Furstenberg family (a collection of subsets of $\mathbb{N}$ with hereditary upward property). A point $x\in X$ is called an $\mathcal {F}$-transitive point if for every…

Dynamical Systems · Mathematics 2016-11-17 Zhijing Chen , Jian Li , Jie Lü

To link the Auslander point dynamics property with topological transitivity, in this paper we introduce dynamically compact systems as a new concept of a chaotic dynamical system $(X,T)$ given by a compact metric space $X$ and a continuous…

Dynamical Systems · Mathematics 2016-05-23 Wen Huang , Danylo Khilko , Sergii Kolyada , Guohua Zhang

This paper investigates observability/controllability of a networked dynamic system (NDS) in which system matrices of its subsystems are expressed through linear fractional transformations (LFT). Some relations have been obtained between…

Systems and Control · Electrical Eng. & Systems 2024-10-30 Tong Zhou , Yuyu Zhou

This paper explores the concept of topological transitivity in nonautonomous dynamical systems, which are defined as sequences of continuous maps from a compact metric space to itself. It investigates various conditions (including…

Dynamical Systems · Mathematics 2025-01-22 Michal Málek

In this paper we introduce and study some stronger forms of transitivity like total transitivity, weakly mixing for maps on G-spaces. We obtain their relationship with the earlier defined notion of strongly mixing for maps on G-spaces. We…

Dynamical Systems · Mathematics 2016-04-04 Mukta Garg , Ruchi Das

We introduce and study two properties of dynamical systems: topologically transitive and topologically mixing under the set-valued setting. We prove some implications of these two topological properties for set-valued functions and…

Dynamical Systems · Mathematics 2019-03-29 Wong Koon Sang , Zabidin Salleh

In this paper we study the dynamics of a general non-autonomous dynamical system generated by a family of continuous self maps on a compact space $X$. We derive necessary and sufficient conditions for the system to exhibit complex dynamical…

Dynamical Systems · Mathematics 2016-01-20 Puneet Sharma , Manish Raghav

This paper investigates requirements on a networked dynamic system (NDS) such that its subsystem interactions can be solely determined from experiment data or reconstructed from its overall model. The NDS is constituted from several…

Systems and Control · Electrical Eng. & Systems 2022-06-29 Tong Zhou , Kailin Yin

Iterating between a router and a traffic micro-simulation is an increasibly accepted method for doing traffic assignment. This paper, after pointing out that the analytical theory of simulation-based assignment to-date is insufficient for…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 Kai Nagel , Marcus Rickert , Patrice M. Simon , Martin Pieck

We show that for a non-trivial transitive dynamical system, it has a dense Mycielski invariant strongly scrambled set if and only if it has a fixed point, and it has a dense Mycielski invariant $\delta$-scrambled set for some $\delta>0$ if…

Dynamical Systems · Mathematics 2016-06-01 Magdalena Foryś , Wen Huang , Jian Li , Piotr Oprocha

We introduce Neural Dynamical Systems (NDS), a method of learning dynamical models in various gray-box settings which incorporates prior knowledge in the form of systems of ordinary differential equations. NDS uses neural networks to…

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