It is possible to compare results for the classical tests for embeddings of chaotic data with the results of a recently proposed test. The classical tests, which depend on real numbers (fractal dimensions, Lyapunov exponents) averaged over an attractor, are compared with a topological test that depends on integers. The comparison can only be done for mappings into three dimensions. We find that the classical tests fail to predict when a mapping is an embedding and when it is not. We point out the reasons for this failure, which are not restricted to three dimensions
In many applications, there is a desire to determine if the dynamics of interest are chaotic or not....
To distinguish between chaotic and noisy processes, the authors analyze one- and two-dimensional cha...
The 0-1 test for chaos is increasingly used in applications where it is important to distinguish bet...
It is possible to compare results for the classical tests for embeddings of chaotic data with the re...
It is possible to compare results for the classical tests for embeddings of chaotic data with the re...
Physical Review E, 75(4): pp. 066214-1 - 066214-9.When a low-dimensional chaotic attractor is embedd...
We describe a new test for determining whether a given deterministic dynamical system is chaotic or ...
We propose here a local exponential divergence plot which is capable of providing an alternative mea...
Abstract: The new technique for determining the embedding dimension for reconstructions...
Embeddings are diffeomorphisms between some unseen physical attractor and a reconstructed image. Dif...
We present a direct and dynamical method to distinguish low-dimensional deterministic chaos from noi...
We show that the fractal dimension of a chaotic attractor is bounded from above by Kaplan-Yorke-type...
The accuracy of learning a function is determined both by the underlying process that generates the ...
A reliable and efficient method to distinguish between chaotic and non-chaotic behaviour in noise-co...
Topological chaxacterization is important in understanding the subtleties of chaotic behaviour. Unfo...
In many applications, there is a desire to determine if the dynamics of interest are chaotic or not....
To distinguish between chaotic and noisy processes, the authors analyze one- and two-dimensional cha...
The 0-1 test for chaos is increasingly used in applications where it is important to distinguish bet...
It is possible to compare results for the classical tests for embeddings of chaotic data with the re...
It is possible to compare results for the classical tests for embeddings of chaotic data with the re...
Physical Review E, 75(4): pp. 066214-1 - 066214-9.When a low-dimensional chaotic attractor is embedd...
We describe a new test for determining whether a given deterministic dynamical system is chaotic or ...
We propose here a local exponential divergence plot which is capable of providing an alternative mea...
Abstract: The new technique for determining the embedding dimension for reconstructions...
Embeddings are diffeomorphisms between some unseen physical attractor and a reconstructed image. Dif...
We present a direct and dynamical method to distinguish low-dimensional deterministic chaos from noi...
We show that the fractal dimension of a chaotic attractor is bounded from above by Kaplan-Yorke-type...
The accuracy of learning a function is determined both by the underlying process that generates the ...
A reliable and efficient method to distinguish between chaotic and non-chaotic behaviour in noise-co...
Topological chaxacterization is important in understanding the subtleties of chaotic behaviour. Unfo...
In many applications, there is a desire to determine if the dynamics of interest are chaotic or not....
To distinguish between chaotic and noisy processes, the authors analyze one- and two-dimensional cha...
The 0-1 test for chaos is increasingly used in applications where it is important to distinguish bet...