Iterated Maps on the Interval as Dynamical Systems



Pierre Collet and J.-P. Eckmann, "Iterated Maps on the Interval as Dynamical Systems"
Bir-äuser | 2009 | ISBN: 0817649263, 3764330260 | 248 pages | File type: PDF | 17,7 mb

Iterations of continuous maps of an interval to itself serve as the simplest examples of models for dynamical systems. These models present an interesting mathematical structure going far beyond the simple equilibrium solutions one might expect. If, in addition, the dynamical system depends on an experimentally controllable parameter, there is a corresponding mathematical structure revealing a great deal about interrelations between the behavior for different parameter values.

This work explains some of the early results of this theory to mathematicians and theoretical physicists, with the additional hope of stimulating experimentalists to look for more of these general phenomena of beautiful regularity, which oftentimes seem to appear near the much less understood chaotic systems. Although continuous maps of an interval to itself seem to have been first introduced to model biological systems, they can be found as models in most natural sciences as well as economics.

Iterated Maps on the Interval as Dynamical Systems is a classic reference used widely by researchers and graduate students in mathematics and physics, opening up some new perspectives on the study of dynamical systems .
Download links:

http://uploading.com/files/ce516ce5/0817649263_Iterated.rar/

http://www.filesonic.com/file/37561589/0817649263_Iterated.rar


[Fast Download] Iterated Maps on the Interval as Dynamical Systems


Related eBooks:
Instructor's Solutions Manual to Calculus & Its Applications
Deterministic Network Calculus
An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management
Canonical Problems in Scattering and Potential Theory Part 1: Canonical Structures in Potential Theo
Computational Aspects of General Equilibrium Theory: Refutable Theories of Value
Epidemics: Models and Data using R
Explorations in Monte Carlo Methods
The Secret Life of Equations: The 50 Greatest Equations and How They Work
Eigenfunctions of the Laplacian on a Riemannian Manifold
Lars H?rmander - Notions of Convexity
Basic Number Theory
Stochastic Models, Statistical Methods, and Algorithms in Image Analysis by Piero Barone
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.