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        Evolutionary Equations

        Picard's Theorem for Partial Differential Equations, and Applications

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        Author(s)
        Seifert, Christian
        Trostorff, Sascha
        Waurick, Marcus
        Language
        English
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        Abstract
        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.
        URI
        https://library.oapen.org/handle/20.500.12657/52841
        Keywords
        Open Access; Evolutionary equations; Maxwell's equations; Initial Boundary Value Problems; Mathematical Physics; Hilbert space approach; Heat Equation; Wave Equation; Elasticity; Differential Algebraic Equations; Exponential Stability; Homogenisation; Evolutionary Inclusions; Time-dependent partial differential equations; Coupled Systems; Causality
        DOI
        10.1007/978-3-030-89397-2
        ISBN
        9783030893972, 9783030893972
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2022
        Imprint
        Birkhäuser
        Series
        Operator Theory: Advances and Applications, 287
        Classification
        Calculus and mathematical analysis
        Pages
        317
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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