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Christian Seifert,Sascha Trostorff,Marcus Waurick

Evolutionary Equations: Picard's Theorem for Partial Differential Equations, and Applications

Evolutionary Equations: Picard's Theorem for Partial Differential Equations, and Applications

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  • More about Evolutionary Equations: Picard's Theorem for Partial Differential Equations, and Applications


This open-access book offers a solution theory for time-dependent partial differential equations,using Hilbert space methods and complex analysis,with examples and a quantitative theory for evolutionary equations. It is suitable for a first study on evolutionary equations and a guide to the literature.

Format: Hardback
Length: 317 pages
Publication date: 03 February 2022
Publisher: Springer Nature Switzerland AG


This open-access book presents a comprehensive solution theory for time-dependent partial differential equations, a domain that has historically been challenging to approach using a unified method. Instead of relying on sophisticated techniques and methodologies, the approach is remarkably elementary, requiring only Hilbert space methods and a fundamental understanding of complex analysis. Despite its simplicity, the method possesses remarkable capabilities, enabling the recovery of key properties of solutions in a graceful and elegant manner. Furthermore, the strength of this approach is substantiated through a diverse range of examples, showcasing its applicability across various fields. Additionally, a quantitative theory for evolutionary equations is developed, providing a deeper understanding of the underlying dynamics.

The book is self-contained, making it an ideal resource for individuals embarking on their first exploration of evolutionary equations. It also serves as a valuable guide to the extensive literature available on this subject, effectively bridging the gap between novice and advanced mathematical research. By offering a comprehensive and accessible approach, this book contributes to the advancement of knowledge in this field and paves the way for further developments in mathematical sciences.

Weight: 664g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030893965
Edition number: 1st ed. 2022

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