sinaiMap: Sinai map

In nonlinearTseries: Nonlinear Time Series Analysis

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*cos(2*pi*y[n]) )mod 1

y[n+1] = (x[n] + 2*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)

nonlinearTseries documentation built on March 31, 2022, 1:07 a.m.