Evolutionary Equations: Picard's Theorem for Partial Differential Equations, and Applications: 287 1st ed. 2022 Edition

Evolutionary Equations: Picard's Theorem for Partial Differential Equations, and Applications: 287 1st ed. 2022 Edition book cover

Evolutionary Equations: Picard's Theorem for Partial Differential Equations, and Applications: 287 1st ed. 2022 Edition

Author(s): Christian Seifert (Author), Sascha Trostorff (Author), Marcus Waurick (Author)

  • Publisher: Birkhäuser
  • Publication Date: 3 Feb. 2022
  • Edition: 1st ed. 2022
  • Language: English
  • Print length: 329 pages
  • ISBN-10: 3030893995
  • ISBN-13: 9783030893996

Book Description

This open access book provides a solution theory for time-dependent partial differential equations, which classically have not been accessible by a unified method. Instead of using sophisticated techniques and methods, the approach is elementary in the sense that only Hilbert space methods and some basic theory of complex analysis are required. Nevertheless, key properties of solutions can be recovered in an elegant manner. Moreover, the strength of this method is demonstrated by a large variety of examples, showing the applicability of the approach of evolutionary equations in various fields. Additionally, a quantitative theory for evolutionary equations is developed.

The text is self-contained, providing an excellent source for a first study on evolutionary equations and a decent guide to the available literature on this subject, thus bridging the gap to state-of-the-art mathematical research.

Editorial Reviews

Review

“The exposition is well written and clear, and many examples elucidate the theory. The text can be used as a textbook for teaching an advanced course on evolutionary PDEs and it is also suitable for self studying the topic.” (Kai Diethelm, zbMATH 1497.35008, 2022)

From the Back Cover

This open access book provides a solution theory for time-dependent partial differential equations, which classically have not been accessible by a unified method. Instead of using sophisticated techniques and methods, the approach is elementary in the sense that only Hilbert space methods and some basic theory of complex analysis are required. Nevertheless, key properties of solutions can be recovered in an elegant manner. Moreover, the strength of this method is demonstrated by a large variety of examples, showing the applicability of the approach of evolutionary equations in various fields. Additionally, a quantitative theory for evolutionary equations is developed.

The text is self-contained, providing an excellent source for a first study on evolutionary equations and a decent guide to the available literature on this subject, thus bridging the gap to state-of-the-art mathematical research.

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