To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
This chapter relies on ideas of the proof of the rigidity theorem drafted by D. Sullivan in the Proceedings of Berkeley's International Congress of Mathematicians in 1986: see [Sullivan 1986]. In Chapter 7, Example 7.1.10 shows that two expanding repellers can be Lipschitz conjugate, but not analytically (nor even differentially) conjugate.
So in Chapter 7 we provided an additional invariant, the scaling function for an expanding repeller in the line, taking ‘gaps’ into account, and proved that it determined the C1+ε-structure.
In this chapter, following Sullivan, we distinguish a class of conformal expanding repellers (CERs) called non-linear, and prove that the class of equivalence of the geometric measure, and in particular the class of Lipschitz conjugacy, determines the conformal structure.
This is amazing: a holomorphic structure preserved by a map is determined by a measure.
Equivalent notions of linearity
Definition Consider a CER (X, f) for compact X ⊂ ℂ. Denote by Jf the Jacobian of f with respect to the Gibbs measure μX equivalent to a geometric measure mX on X. We call (X, f) linear if one of the following conditions holds:
(a) The Jacobian Jf, is locally constant.
(b) The function HD(X) log∣f′∣ is co-homologous to a locally constant function on X.
(c) The conformal structure on X admits a conformal affine refinement so that f is affine (that is, there exists an atlas {φt} that is a family of conformal injections ϕt: Ut → ℂ where ∪tUt ⊃ X such that all the maps ϕtϕs−1 and ϕtfϕs−1 are affine).
This book is an introduction to the theory of iteration of expanding and non-uniformly expanding holomorphic maps and topics in geometric measure theory of the underlying invariant fractal sets. Probability measures on these sets yield information on Hausdorff and other fractal dimensions and properties. The book starts with a comprehensive chapter on abstract ergodic theory, followed by chapters on uniform distance-expanding maps and thermo-dynamical formalism. This material is applicable in many branches of dynamical systems and related fields, far beyond the applications in this book.
Popular examples of the fractal sets to be investigated are Julia sets for rational functions on the Riemann sphere. The theory, which was initiated by Gaston Julia [1918] and Pierre Fatou [1919–1920], has become very popular since the publication of Benoit Mandelbrot's book [Mandelbrot 1982] with beautiful computer generated illustrations. Top mathematicians have since made spectacular progress in the field over the last 30 years.
Consider, for example, the map f(z)= z2 for complex numbers z. Then the unit circle S1 = {∣z∣ =1} is f-invariant, f(S1)= S1 = f−1(S1). For c ≈ 0, c ≠ 0 and fc(z)= z2 + c, there still exists an fc-invariant set J(fc) called the Julia set of fc, close to S1, homeomorphic to S1 via a homeomorphism h satisfying the equality f ∘ h = h ∘ fc. However, J(fc) has a fractal shape.
In this chapter we shall consider a compact metric space X with an open, distance-expanding map T on it, embedded isometrically into a smooth Riemannian manifold M. We shall assume that T extends to a neighbourhood U of X to a mapping f of class C1+ε for some 0 < ε ≤ 1 or smoother, including real-analytic. C1+ε and more general Cr+ε for r = 1, 2, … means that the r-th derivative is Hölder continuous with the exponent ε for ε < 1 and Lipschitz continuous for ε = 1. We shall also assume that there exists a constant λ > 1 such that for every x ϵ U and for every non-zero vector v tangent to M at x, ∥Df(v)∥ > λ∥v∥ holds, where ∥·∥ is the norm induced by the Riemannian metric. The pair (X, f) will be called an expanding repeller and f an expanding map. If f is of some class A, e.g. Cα or analytic, we shall say that the expanding repeller is of that class, or that this is an A-expanding repeller. In particular, if f is conformal we call (X, f) a conformal expanding repeller, abbreviated to CER. Finally, if we skip the assumption that T = f∣x is open on X, we shall call (X, f) an expanding set. Sometimes, to distinguish the domain of f, we shall write (X, f, U).
In Sections 6.2 and 6.3 we provide some introduction to conformal expanding repellers, studying the transfer operator, postponing the main study to Chapters 9 and 10, where we shall use tools of geometric measure theory.
Conformal expanding repellers (abbreviation CERs) have already been defined in Chapter 6, and some basic properties of expanding sets and repellers in dimension one were discussed in Section 6.2. A more advanced geometric theory in the real one-dimensional case was covered in Chapter 7.
Now we have a new tool: the Frostman Lemma and related facts from Chapter 8. Equipped with the theory of Gibbs measures, and with the pressure function, we are able to develop a geometric theory of CERs, with Hausdorff measures and dimension playing the crucial role. We shall present this theory for C1+ε conformal expanding repellers in ℝd. The main case of our interest will be d = 2. Recall (Section 6.2) that the assumed conformality forces for d = 2 that f is holomorphic or anti-holomorphic, and for d ≥ 3 that f is locally a Möbius map. Conformality for d = 1 is meaningless, so we assume C1+ε in order to be able to rely on the Bounded Distortion for Iteration lemma.
We shall outline a theory of Gibbs measures from the point of view of multifractal spectra of dimensions (Section 9.2) and pointwise fluctuations due to the Law of Iterated Logarithm (Section 9.3).
For d = 2 we shall apply this theory to study the boundary Fr Ω of a simply connected domain Ω, and in particular a simply connected immediate basin of attraction to a sink for a rational mapping of the Riemann sphere.
Totally positive matrices constitute a particular class of matrices, the study of which was initiated by analysts because of its many applications in diverse areas. This account of the subject is comprehensive and thorough, with careful treatment of the central properties of totally positive matrices, full proofs and a complete bibliography. The history of the subject is also described: in particular, the book ends with a tribute to the four people who have made the most notable contributions to the history of total positivity: I. J. Schoenberg, M. G. Krein, F. R. Gantmacher and S. Karlin. This monograph will appeal to those with an interest in matrix theory, to those who use or have used total positivity, and to anyone who wishes to learn about this rich and interesting subject.
Continued fractions, studied since Ancient Greece, only became a powerful tool in the eighteenth century, in the hands of the great mathematician Euler. This book tells how Euler introduced the idea of orthogonal polynomials and combined the two subjects, and how Brouncker's formula of 1655 can be derived from Euler's efforts in Special Functions and Orthogonal Polynomials. The most interesting applications of this work are discussed, including the great Markoff's Theorem on the Lagrange spectrum, Abel's Theorem on integration in finite terms, Chebyshev's Theory of Orthogonal Polynomials, and very recent advances in Orthogonal Polynomials on the unit circle. As continued fractions become more important again, in part due to their use in finding algorithms in approximation theory, this timely book revives the approach of Wallis, Brouncker and Euler and illustrates the continuing significance of their influence. A translation of Euler's famous paper 'Continued Fractions, Observation' is included as an Addendum.
Spline functions are universally recognized as highly effective tools in approximation theory, computer-aided geometric design, image analysis, and numerical analysis. The theory of univariate splines is well known but this text is the first comprehensive treatment of the analogous bivariate theory. A detailed mathematical treatment of polynomial splines on triangulations is outlined, providing a basis for developing practical methods for using splines in numerous application areas. The detailed treatment of the Bernstein-Bézier representation of polynomials will provide a valuable source for researchers and students in CAGD. Chapters on smooth macro-element spaces will allow engineers and scientists using the FEM method to solve partial differential equations numerically with new tools. Workers in the geosciences will find new tools for approximation and data fitting on the sphere. Ideal as a graduate text in approximation theory, and as a source book for courses in computer-aided geometric design or in finite-element methods.
This book aims to give a self-contained presentation of a number of results, which relate the volume of convex bodies in n-dimensional Euclidean space and the geometry of the corresponding finite-dimensional normed spaces. The methods employ classical ideas from the theory of convex sets, probability theory, approximation theory and the local theory of Banach spaces. The book is in two parts. The first presents self-contained proofs of the quotient of the subspace theorem, the inverse Santalo inequality and the inverse Brunn-Minkowski inequality. The second part gives a detailed exposition of the recently introduced classes of Banach spaces of weak cotype 2 or weak type 2, and the intersection of the classes (weak Hilbert space). The book is based on courses given in Paris and in Texas.
The Hilbert transform has many uses, including solving problems in aerodynamics, condensed matter physics, optics, fluids, and engineering. Written in a style that will suit a wide audience (including the physical sciences), this book will become the reference of choice on the topic, whatever the subject background of the reader. It explains all the common Hilbert transforms, mathematical techniques for evaluating them, and has detailed discussions of their application. Especially useful for researchers are the tabulation of analytically evaluated Hilbert transforms, and an atlas that immediately illustrates how the Hilbert transform alters a function. A collection of exercises helps the reader to test their understanding of the material in each chapter. The bibliography is a wide-ranging collection of references both to the classical mathematical papers, and to a diverse array of applications.