Results 1 to 10 of about 31,463 (266)

Fluctuation spectra of large random dynamical systems reveal hidden structure in ecological networks [PDF]

open access: yesNature Communications, 2021
Fluctuations in ecosystems and other large dynamical systems are driven by intrinsic and extrinsic noise and contain hidden information which is difficult to extract.
Yvonne Krumbeck   +3 more
doaj   +2 more sources

Learning dynamical systems with hit-and-run random feature maps [PDF]

open access: yesNature Communications
We show how random feature maps can be used to forecast dynamical systems with excellent forecasting skill. We consider the tanh activation function and judiciously choose the internal weights in a data-driven manner such that the resulting features ...
Pinak Mandal, Georg A. Gottwald
doaj   +2 more sources

Generalize of some concepts on Linear Random Dynamical Systems

open access: yesWasit Journal for Pure Sciences, 2023
This work aims to study the concepts of proximal, distal, minimal, regionally proximal, and uniformly equicontinuous in the linear random dynamical systems with the study of some their properties.
Akhlas Kadom Obaid, Ihsan Jabbar Kadhim
doaj   +1 more source

Study of Local Dissipative Random Dynamical Systems

open access: yesWasit Journal for Pure Sciences, 2023
The main objective of this work is to study local dissipation  in stochastic dynamical systems. The main properties of this concept were studied. In addition to presenting the necessary and sufficient conditions that make the random dynamic system a ...
Asmahan Yasir, Ihsan J. Kadhim
doaj   +1 more source

Stability index of linear random dynamical systems

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2021
Given a homogeneous linear discrete or continuous dynamical system, its stability index is given by the dimension of the stable manifold of the zero solution.
Anna Cima   +2 more
doaj   +1 more source

Random Conformal Dynamical Systems [PDF]

open access: yesGeometric and Functional Analysis, 2007
We consider random dynamical systems such as groups of conformal transformations with a probability measure, or transversaly conformal foliations with a Laplace operator along the leaves, in which case we consider the holonomy pseudo-group. We prove that either there exists a measure invariant under all the elements of the group (or the pseudo-group ...
Deroin, Bertrand, Kleptsyn, Victor A.
openaire   +5 more sources

On Random Dynamical Systems Generated by White Noise Time Change of Deterministic Dynamical Systems

open access: yesJournal of Probability and Statistics, 2022
In this paper, we apply the random time change by the real white noise to deterministic dynamical systems. We prove that the obtained random dynamical systems are solutions of some stochastic differential equations whenever the deterministic dynamical ...
Mohamed Hmissi, Farida Mokchaha
doaj   +1 more source

Controlled Discrete-Time Semi-Markov Random Evolutions and Their Applications

open access: yesMathematics, 2021
In this paper, we introduced controlled discrete-time semi-Markov random evolutions. These processes are random evolutions of discrete-time semi-Markov processes where we consider a control. applied to the values of random evolution.
Anatoliy Swishchuk, Nikolaos Limnios
doaj   +1 more source

On potential kernels associated with random dynamical systems [PDF]

open access: yesOpuscula Mathematica, 2015
Let \((\theta,\varphi)\) be a continuous random dynamical system defined on a probability space \((\Omega,\mathcal{F},\mathbb{P})\) and taking values on a locally compact Hausdorff space \(E\).
Mohamed Hmissi   +2 more
doaj   +1 more source

Optimal data-driven models of forced dynamical systems: General approach and examples from climate [PDF]

open access: yesИзвестия высших учебных заведений: Прикладная нелинейная динамика, 2021
Purpose. Purpose of this article is to review recent results (over the past three years) obtained at the Institute of Applied Physics (IAP RAS) relating of applications of the method for constructing optimal empirical models to climatic systems. Methods.
Mukhin, Dmitry Николаевич   +3 more
doaj   +1 more source

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