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The geometric theory of complex vari...

Dovbush, Peter V.

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The geometric theory of complex variables

Record Type:	Electronic resources : Monograph/item
Title/Author:	The geometric theory of complex variables/ by Peter V. Dovbush, Steven G. Krantz.
Author:	Dovbush, Peter V.
other author:	Krantz, Steven G.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xi, 540 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Global analysis (Mathematics) -
Online resource:	https://doi.org/10.1007/978-3-031-77204-7
ISBN:	9783031772047

The geometric theory of complex variables
Dovbush, Peter V.

The geometric theory of complex variables[electronic resource] /by Peter V. Dovbush, Steven G. Krantz. - Cham :Springer Nature Switzerland :2025. - xi, 540 p. :ill., digital ;24 cm.

This book provides the reader with a broad introduction to the geometric methodology in complex analysis. It covers both single and several complex variables, creating a dialogue between the two viewpoints. Regarded as one of the 'grand old ladies' of modern mathematics, complex analysis traces its roots back 500 years. The subject began to flourish with Carl Friedrich Gauss's thesis around 1800. The geometric aspects of the theory can be traced back to the Riemann mapping theorem around 1850, with a significant milestone achieved in 1938 with Lars Ahlfors's geometrization of complex analysis. These ideas inspired many other mathematicians to adopt this perspective, leading to the proliferation of geometric theory of complex variables in various directions, including Riemann surfaces, Teichmüller theory, complex manifolds, extremal problems, and many others. This book explores all these areas, with classical geometric function theory as its main focus. Its accessible and gentle approach makes it suitable for advanced undergraduate and graduate students seeking to understand the connections among topics usually scattered across numerous textbooks, as well as experienced mathematicians with an interest in this rich field.

ISBN: 9783031772047

Standard No.: 10.1007/978-3-031-77204-7doiSubjects--Topical Terms:

631732
Global analysis (Mathematics)

LC Class. No.: QA614 / .D68 2025

Dewey Class. No.: 514.74

The geometric theory of complex variables
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245 1 4 $a The geometric theory of complex variables $h [electronic resource] / $c by Peter V. Dovbush, Steven G. Krantz.
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520 $a This book provides the reader with a broad introduction to the geometric methodology in complex analysis. It covers both single and several complex variables, creating a dialogue between the two viewpoints. Regarded as one of the 'grand old ladies' of modern mathematics, complex analysis traces its roots back 500 years. The subject began to flourish with Carl Friedrich Gauss's thesis around 1800. The geometric aspects of the theory can be traced back to the Riemann mapping theorem around 1850, with a significant milestone achieved in 1938 with Lars Ahlfors's geometrization of complex analysis. These ideas inspired many other mathematicians to adopt this perspective, leading to the proliferation of geometric theory of complex variables in various directions, including Riemann surfaces, Teichmüller theory, complex manifolds, extremal problems, and many others. This book explores all these areas, with classical geometric function theory as its main focus. Its accessible and gentle approach makes it suitable for advanced undergraduate and graduate students seeking to understand the connections among topics usually scattered across numerous textbooks, as well as experienced mathematicians with an interest in this rich field.
650 0 $a Global analysis (Mathematics) $3 631732
650 0 $a Manifolds (Mathematics) $3 612607
650 0 $a Functions of complex variables. $3 523875
650 0 $a Functional analysis. $3 531838
650 1 4 $a Global Analysis and Analysis on Manifolds. $3 891107
650 2 4 $a Several Complex Variables and Analytic Spaces. $3 893953
650 2 4 $a Functional Analysis. $3 893943
700 1 $a Krantz, Steven G. $3 636467
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-77204-7
950 $a Mathematics and Statistics (SpringerNature-11649)