sinaiMap {nonlinearTseries} | R Documentation |
Sinai map
Description
Generates a 2-dimensional time series using the Sinai map.
Usage
sinaiMap(
a = 0.1,
start = runif(2),
n.sample = 5000,
n.transient = 500,
do.plot = deprecated()
)
Arguments
a |
The a parameter. Default: 0.1 |
start |
A 2-dimensional vector indicating the starting values for the x and y Sinai coordinates. If the starting point is not specified, it is generated randomly. |
n.sample |
Length of the generated time series. Default: 5000 samples. |
n.transient |
Number of transient samples that will be discarded. Default: 500 samples. |
do.plot |
Logical value. If TRUE, a plot of the generated Sinai system is shown. Before version 0.2.11, default value was TRUE; versions 0.2.11 and later use FALSE as default. |
Details
The Sinai map is defined as follows:
x_{n+1} = (x_{n} + y_{n} + a \cdot cos(2 \cdot pi \cdot y_{n}) )mod 1
y_{n+1} = (x_{n} + 2 \cdot y_n)mod 1
The default selection for the a parameter is known to produce a deterministic chaotic time series.
Value
A list with two vectors named x and y containing the x-components and the y-components of the Sinai map, respectively.
Note
Some initial values may lead to an unstable system that will tend to infinity.
Author(s)
Constantino A. Garcia
References
Mcsharry, P. E. and P. R. Ruffino (2003). Asymptotic angular stability in nonlinear systems: rotation numbers and winding numbers. Dynamical Systems 18(3), 191-200.
See Also
henon, logisticMap, lorenz,
rossler, ikedaMap, cliffordMap, gaussMap
Examples
## Not run:
sinai.map = sinaiMap(n.sample = 1000, n.transient=10,do.plot=TRUE)
# accessing the x coordinate and plotting it
plot(ts(sinai.map$x))
## End(Not run)