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Introduction

Published online by Cambridge University Press:  14 August 2009

R. Daniel Mauldin
Affiliation:
University of North Texas
Mariusz Urbanski
Affiliation:
University of North Texas
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Summary

The geometric and dynamic theory of the limit set generated by the iteration of finitely many similarity maps satisfying the open set condition has been well developed for some time now. Over the past several years, the authors have in turn developed a technically more complicated geometric and dynamic theory of the limit set generated by the iteration of infinitely many uniformly contracting conformal maps, a (hyperbolic) conformal iterated function system. This theory allows one to analyze many more limit sets, for example sets of continued fractions with restricted entries. We recall and extend this theory in the later chapters. The main focus of this book is the exploration of the geometric and dynamic properties of a far reaching generalization of a conformal iterated function system called a graph directed Markov system (GDMS). These systems are very robust in that they apply to many settings that do not fit into the scheme of conformal iterated systems. While the basic theory is laid out here and we touch on many natural questions arising in its context, we emphasize that there are many issues and current research topics which we do not cover: for examples, the detailed analysis of the structure of harmonic measures of limit sets provided in [UZd], the examination of the doubling property of conformal measures performed in [MU6], the extensive study of generalized polynomial like mappings (see [U7] and [SU]), the multifractal analysis of geometrically finite Kleinian groups (see [KS]), and the connection to quantization dimension from engineering (see [LM] and [GL]). There are many research problems in this active area that remain unsolved.

Type
Chapter
Information
Graph Directed Markov Systems
Geometry and Dynamics of Limit Sets
, pp. vii - xii
Publisher: Cambridge University Press
Print publication year: 2003

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  • Introduction
  • R. Daniel Mauldin, University of North Texas, Mariusz Urbanski, University of North Texas
  • Book: Graph Directed Markov Systems
  • Online publication: 14 August 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511543050.001
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  • Introduction
  • R. Daniel Mauldin, University of North Texas, Mariusz Urbanski, University of North Texas
  • Book: Graph Directed Markov Systems
  • Online publication: 14 August 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511543050.001
Available formats
×

Save book to Google Drive

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 Google Drive.

  • Introduction
  • R. Daniel Mauldin, University of North Texas, Mariusz Urbanski, University of North Texas
  • Book: Graph Directed Markov Systems
  • Online publication: 14 August 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511543050.001
Available formats
×