12.07.2015 Views

COPYRIGHT 2008, PRINCETON UNIVERSITY PRESS

COPYRIGHT 2008, PRINCETON UNIVERSITY PRESS

COPYRIGHT 2008, PRINCETON UNIVERSITY PRESS

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

298 chapter 12TABLE 12.1Several Nonlinear Maps to ExploreName f(x) Name f(x)Logistic µx(1 − x) Tent µ(1 − 2 |x − 1/2|)Ecology xe µ(1−x) Quartic µ[1 − (2x − 1) 4 ]Gaussian e bx2 + µ12.7 Other Maps (Exploration)Bifurcations and chaos are characteristic properties of nonlinear systems. Yet systemscan be nonlinear in a number of ways. Table 12.1 lists four maps that generatex i sequences containing bifurcations. The tent map derives its nonlinear dependencefrom the absolute value operator, while the logistic map is a subclass of theecology map. Explore the properties of these other maps and note the similaritiesand differences.12.8 Signals of Chaos: Lyapunov Coefficients ⊙The Lyapunov coefficient λ i provides an analytic measure of whether a system ischaotic [Wolf 85, Ram 00, Will 97]. Physically, the coefficient is a measure of thegrowth rate of the solution near an attractor. For 1-D maps there is only one suchcoefficient, whereas in general there is a coefficient for each direction in space. Theessential assumption is that neighboring paths x n near an attractor have an n (ortime) dependence L ∝ exp(λt). Consequently, orbits that have λ>0 diverge andare chaotic; orbits that have λ =0remain marginally stable, while orbits with λ

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!