1.

Record Nr.

UNINA9910523759603321

Autore

Seifert Christian

Titolo

Evolutionary equations : Picard's theorem for partial differential equations, and applications / / Christian Seifert, Sascha Trostorff, Marcus Waurick

Pubbl/distr/stampa

Cham, : Springer Nature, 2022

Cham : , : Springer International Publishing AG, , 2022

©2022

ISBN

3-030-89397-9

Descrizione fisica

1 online resource (321 pages)

Collana

Operator theory, advances and applications ; v.287

Altri autori (Persone)

TrostorffSascha <1984->

WaurickMarcus

Soggetti

Differential equations

Equacions d'evolució

Equacions en derivades parcials

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Unbounded Operators -- The Time Derivative -- Ordinary Differential Equations -- The Fourier-Laplace Transformation and Material Law Operators -- Solution Theory for Evolutionary Equations -- Examples of Evolutionary Equations -- Causality and a Theorem of Paley and Wiener -- Initial Value Problems and Extrapolation Spaces -- Differential Algebraic Equations -- Exponential Stability of Evolutionary Equations -- Boundary Value Problems and Boundary Value Spaces -- Continuous Dependence on the Coefficients I -- Continuous Dependence on the Coefficients II

Sommario/riassunto

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.