Logo

Complex Dynamics and Renormalization

Large book cover: Complex Dynamics and Renormalization

Complex Dynamics and Renormalization
by

Publisher: Princeton University Press
ISBN/ASIN: 0691029814
ISBN-13: 9780691029818
Number of pages: 219

Description:
Addressing researchers and graduate students in the active meeting ground of analysis, geometry, and dynamics, this book presents a study of renormalization of quadratic polynomials and a rapid introduction to techniques in complex dynamics. Its central concern is the structure of an infinitely renormalizable quadratic polynomial f(z)=z2+c.

Home page url

Download or read it online for free here:
Download link
(1.2MB, PDF)

Similar books

Book cover: Around the Boundary of Complex DynamicsAround the Boundary of Complex Dynamics
by - arXiv
We introduce the exciting field of complex dynamics at an undergraduate level while reviewing, reinforcing, and extending the ideas learned in an typical first course on complex analysis. Julia sets and the famous Mandelbrot set will be introduced...
(7908 views)
Book cover: Hyperbolic Manifolds, Discrete Groups and Ergodic TheoryHyperbolic Manifolds, Discrete Groups and Ergodic Theory
by - Harvard University
Contents: Ergodic theory; Dynamics on hyperbolic surfaces; Orbit counting, equidistribution and arithmetic; Spectral theory; Mixing of unitary representations of SLnR; Amenability; The Laplacian; All unitary representations of PSL2(R); etc.
(9980 views)
Book cover: Optimization and Dynamical SystemsOptimization and Dynamical Systems
by - Springer
Aimed at mathematics and engineering graduate students and researchers in the areas of optimization, dynamical systems, control systems, signal processing, and linear algebra. The problems solved are those of linear algebra and linear systems theory.
(16217 views)
Book cover: Dynamical Systems: Analytical and Computational TechniquesDynamical Systems: Analytical and Computational Techniques
by - InTech
There has been a considerable progress made during the recent past on mathematical techniques for studying dynamical systems. This progress is due to our increasing ability to mathematically model physical processes and to analyze and solve them.
(8339 views)