Nonlinear Dynamics and Chaos
Nonlinear Dynamics and Chaos
2nd Edition
ISBN: 9780813349107
Author: Steven H. Strogatz
Publisher: PERSEUS D
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Chapter 10.7, Problem 4E
Interpretation Introduction

Interpretation:

To verify the following statements:Function g(x) near the origin is roughly parabolic.

The function g(x) has infinitely many wiggles as x ranges over the real line.

Concept Introduction:

Renormalization is based on the self-similarity of the Figtree. The twigs look like the earlier branches, except they are scaled down in both x and r directions. The Figtree structure shows an endless repetition of the same dynamical processes, a 2n-cycle is created; it becomes superstable and loses stability in a period doubling bifurcation.

Self-similarity is mathematically expressed as comparing f with second iterate f2 at the corresponding values of r and then renormalizing one map into other.

The function f can be renormalized by taking its second iterate, rescaling xxα, and shifting the value of r to the next superstable value.

The functional equation for g(x) is

g(x) = αg2(xα)

Here, α is the universal scale factor and g(x) is defined in terms of itself.

g(x) is the renormalized function of f(x) with renormalization parameter α, which can be written as

f(x,R)αf2(xα,R)

As, at the onset of chaos, it isn’t required to shift R to renormalize, the above equation can be written as

f(x)αf2(xα) This limiting equation is also called g(x).

Hence g(x) = αg2(xα). Where it can be shown that, α=1g(1).

This function g(x) is often written in terms of the power series solution:

g(x)=1+c2x2+c4x4+...

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