Examples include the mathematical models that describe the swinging of a clock pendulum, the flow of water in a pipe, and the number of fish each spring in a lake. A dynamical system has a state determined by a collection of real numbersor more generally by a set of points in an appropriate state space. Small changes in the state of the system correspond to small changes in the numbers.

Jump to navigation Jump to search "Nonlinear dynamics" redirects here. For the journal, see Nonlinear Dynamics journal. This article is about "nonlinearity" in mathematics, physics and other sciences. For video and film editing, see Non-linear editing system.

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March Learn how and when to remove this template message In mathematics and sciencea nonlinear system is a system in which the change of the output is not proportional to the change of the input. Typically, the behavior of a nonlinear system is described in mathematics by a nonlinear system of equations, which is a set of simultaneous equations in which the unknowns or the unknown functions in the case of differential equations appear as variables of a polynomial of degree higher than one or in the argument of a function which is not a polynomial of degree one.

In other words, in a nonlinear system of equations, the equation s to be solved cannot be written as a linear combination of the unknown variables or functions that appear in them.

Systems can be defined as nonlinear, regardless of whether known linear functions appear in the equations. In particular, a differential equation is linear if it is linear in terms of the unknown function and its derivatives, even if nonlinear in terms of the other variables appearing in it.

As nonlinear dynamical equations are difficult to solve, nonlinear systems are commonly approximated by linear equations linearization. This works well up to some accuracy and some range for the input values, but some interesting phenomena such as solitonschaos[10] and singularities are hidden by linearization.

It follows that some aspects of the dynamic behavior of a nonlinear system can appear to be counterintuitive, unpredictable or even chaotic.

Although such chaotic behavior may resemble random behavior, it is in fact not random. For example, some aspects of the weather are seen to be chaotic, where simple changes in one part of the system produce complex effects throughout. This nonlinearity is one of the reasons why accurate long-term forecasts are impossible with current technology.

Some authors use the term nonlinear science for the study of nonlinear systems.

This is disputed by others: Using a term like nonlinear science is like referring to the bulk of zoology as the study of non -elephant animals.The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications.

The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions.

The International Journal of Nonlinear Analysis and Applications (IJNAA), a publication of Semnan University in English is an international Double-Blind peer-reviewed journal.

IJNAA is partially sponsored by Semnan University.. IJNAA is Abstracted, Reviewed and Indexed in. Nonlinear discrete models that represent a wide class of nonlinear recurrence relationships include the NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model and the related nonlinear system identification and analysis procedures.

These approaches can be used to study a wide class of complex . Nonlinear Analysis focuses on papers that address significant problems in Nonlinear Analysis that have a sustainable and important impact on the development of new directions in the theory as well as potential applications.

Review articles on important topics in Nonlinear Analysis are welcome as well. Setting aside the issue of whether the approach presented here can be accepted as true nonlinear modal analysis, it is almost certainly a useful tool for model reduction and system identification.

The transformed variables u i presented in the case studies here clearly resemble SDOF systems in terms of their spectral response. A system of differential equations is said to be nonlinear if it is not a linear system.

Problems involving nonlinear differential equations are extremely diverse, and methods of solution or analysis are problem dependent.

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