This book is an introduction to the theory of iteration of
expanding and nonuniformly expanding holomorphic maps and topics in geometric
measure theory of the underlying invariant fractal sets. Major topics covered:
Basic examples and definitions, Measure preserving endomorphisms, Ergodic theory
on compact metric spaces, Distance expanding maps, Thermodynamical formalism,
Expanding repellers in manifolds and Riemann sphere, preliminaries, Cantor
repellers in the line, Sullivan’s scaling function, application in Feigenbaum
universality, Fractal dimensions, Sullivan’s classification of conformal
expanding repellers, Conformal maps with invariant probability measures of
positive, Lyapunov exponent and Conformal measures.
This PDF book covers the following
topics related to Fractals in Probability and Analysis : Minkowski and Hausdorff
dimensions, Self-similarity and packing dimension, Frostman’s theory and
capacity, Self-affine sets, Graphs of continuous functions, Brownian motion,
Random walks, Markov chains and capacity, Besicovitch–Kakeya sets, The Traveling
Salesman Theorem.
Author(s): Christopher J. Bishop Stony Brook
University, Yuval Peres Microsoft Research
Goal of this course
note is primarily to develop the foundations of geometric measure theory, and
covers in detail a variety of classical subjects. A secondary goal is to
demonstrate some applications and interactions with dynamics and metric number
theory.
This note covers the following topics: Thomasina's Geometry of
Irregular Forms, The Chaos Game, The Sierpinski Hexagon, Thomasina's Fern
and Valentine's Grouse.