Complex Analysis (Cambridge Mathematical Textbooks)

by Donald E . Marshall (Author), Donald E . Marshall (Author)

New
Illustrated
2019
$83.64

This user-friendly textbook introduces complex analysis at the beginning graduate or advanced undergraduate level. Unlike other textbooks, it follows Weierstrass' approach, stressing the importance of power series expansions instead of starting with the Cauchy integral formula, an approach that illuminates many important concepts. This view allows readers to quickly obtain and understand many fundamental results of complex analysis, such as the maximum principle, Liouville's theorem, and Schwarz's lemma. The book covers all the essential material on complex analysis, and includes several elegant proofs that were recently discovered. It includes the zipper algorithm for computing conformal maps, a constructive proof of the Riemann mapping theorem, and culminates in a complete proof of the uniformization theorem. Aimed at students with some undergraduate background in real analysis, though not Lebesgue integration, this classroom-tested textbook will teach the skills and intuition necessary to understand this important area of mathematics.

Synopsis

This user-friendly textbook introduces complex analysis at the beginning graduate or advanced undergraduate level. Unlike other textbooks, it follows Weierstrass' approach, stressing the importance of power series expansions instead of starting with the Cauchy integral formula, an approach that illuminates many important concepts. This view allows readers to quickly obtain and understand many fundamental results of complex analysis, such as the maximum principle, Liouville's theorem, and Schwarz's lemma. The book covers all the essential material on complex analysis, and includes several elegant proofs that were recently discovered. It includes the zipper algorithm for computing conformal maps, a constructive proof of the Riemann mapping theorem, and culminates in a complete proof of the uniformization theorem. Aimed at students with some undergraduate background in real analysis, though not Lebesgue integration, this classroom-tested textbook will teach the skills and intuition necessary to understand this important area of mathematics.

$83.64

Quantity

20+ in stock

More Information

Format: Illustrated
Pages: 286
Edition: Illustrated
Publisher: Cambridge University Press
Published: 07 Mar 2019
ISBN 10: 110713482X
ISBN 13: 9781107134829

Media Reviews

Advance praise: 'Marshall's book covers the basic topics with crystal clarity in a style that is conversational and concrete, and that guides the student into thinking about these topics the way a working mathematician does, especially one with a geometric or computational bent. Moreover, the book includes many results that are vital to modern function theory and its applications to geometry, dynamics and probability, but that are often omitted from introductory texts. I wish I had first learned the subject from this book, and I am delighted that my students can do so.' Christopher Bishop, State University of New York at Stony Brook
Advance praise: 'This is an original and most welcomed new graduate text in complex analysis. Assuming only undergraduate real analysis and following the power series approach, it quickly and elegantly develops the basic theory through Cauchy's theorem for cycles, normal families, the Riemann mapping theorem, and the Weierstrass and Mittag-Leffler theorems. Unique aspects of the book include its many short, clever, and clear proofs of familiar results, the author's computational point of view about conformal mappings, a concise proof of the uniformization theorem from first principles (using the dipole Green's function for the parabolic case), and an excellent selection of exercises, some very thought provoking but having easy proofs.' John Garnett, University of California, Los Angeles
Advance praise: 'There are essentially three points of view from which to begin the study of complex analysis, due principally to Cauchy, Weierstrass, and Riemann. These approaches emphasize integral formulas, power series and conformal mapping, respectively. Marshall has chosen to initially adopt the approach of Weierstrass and to emphasize at the outset the notion of a power series. From that point of view, many of the central ideas and theorems of complex analysis arise early in a rather natural way and are quite suggestive of what is true in a much wider context. One of the features of this book that distinguishes it from other texts is its emphasis on conformal mapping, culminating in a beautiful exposition of the Uniformization theorem for simply connected Riemann surfaces. From the outset, the exposition is placed in an historical context, is clear and concise throughout, and includes many new and interesting exercises.' James Brennan, University of Kentucky
Advance praise: 'Written by a skillful teacher and grand master of complex analysis, this complex analysis graduate level textbook stands out from other texts through the clarity and elegance of the arguments, the efficiency of the presentation, and the selection of advanced topics. Each of the 16 chapters ends with a carefully selected set of exercises ranging from routine to challenging, making it an excellent textbook and ideal for a first-year graduate course. Marshall's choice of beginning with power series (following Weierstrass) has the advantage of a very fast and direct approach to some of the highlights of the theory. The connection to Cauchy's integral calculus, which is the starting point of most texts, is then made through partial fractions and Runge's theorem. This makes the book an invaluable addition to the complex analysis literature.' Steffen Rohde, University of Washington

Author Bio

Donald E. Marshall is Professor of Mathematics at the University of Washington. He received his Ph.D. from University of California, Los Angeles in 1976. Professor Marshall is a leading complex analyst with a very strong research record that has been continuously funded throughout his career. He has given invited lectures in over a dozen countries. He is coauthor of the research-level monograph Harmonic Measure (Cambridge, 2005).