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Lectures on Quasiconformal Mappings (Paperback, 2nd Revised edition)
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Lectures on Quasiconformal Mappings (Paperback, 2nd Revised edition)
Series: University Lecture Series
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Lars Ahlfors's Lectures on Quasiconformal Mappings, based on a
course he gave at Harvard University in the spring term of 1964,
was first published in 1966 and was soon recognized as the classic
it was shortly destined to become. These lectures develop the
theory of quasiconformal mappings from scratch, give a
self-contained treatment of the Beltrami equation, and cover the
basic properties of Teichmuller spaces, including the Bers
embedding and the Teichmuller curve. It is remarkable how Ahlfors
goes straight to the heart of the matter, presenting major results
with a minimum set of prerequisites. Many graduate students and
other mathematicians have learned the foundations of the theories
of quasiconformal mappings and Teichmuller spaces from these
lecture notes. This edition includes three new chapters. The first,
written by Earle and Kra, describes further developments in the
theory of Teichmuller spaces and provides many references to the
vast literature on Teichmuller spaces and quasiconformal mappings.
The second, by Shishikura, describes how quasiconformal mappings
have revitalized the subject of complex dynamics. theory of
hyperbolic structures on 3-manifolds. Together, these three new
chapters exhibit the continuing vitality and importance of the
theory of quasiconformal mappings. This book is a collection of
research and expository papers reflecting the interfacing of two
fields: nonlinear dynamics (in the physiological and biological
sciences) and statistics. It presents the proceedings of a four-day
workshop entitled Nonlinear Dynamics and Time Series: Building a
Bridge Between the Natural and Statistical Sciences held at the
Centre de Recherches Mathematiques (CRM) in Montreal in July 1995.
The goal of the workshop was to provide an exchange forum and to
create a link between two diverse groups with a common interest in
the analysis of nonlinear time series data. The editors and peer
reviewers of this work have attempted to minimize the problems of
maintaining communication between the different scientific fields.
areas of research in statistics that might have particular
applicability to nonlinear dynamics and new methodology and open
data analysis problems in nonlinear dynamics that might find their
way into the toolkits and research interests of statisticians. It
features a survey of state-of-the-art developments in nonlinear
dynamics time series analysis with open statistical problems and
areas for further research. It contains contributions by
statisticians to understanding and improving modern techniques
commonly associated with nonlinear time series analysis, such as
surrogate data methods and estimation of local Lyapunov exponents.
It serves as a starting point for both scientists and statisticians
who want to explore the field. Expositions are readable to
scientists outside the featured fields of specialization. Titles in
this series are copublished with the Fields Institute for Research
in Mathematical Sciences (Toronto, Ontario, Canada).
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