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Semigroup methods for evolution equations on networks

This concise text is based on a series of lectures held only a few years ago and originally intended as an introduction to known results on linear hyperbolic and parabolic equations.  Yet the topic of differential equations on graphs, ramified spaces, and more general network-like objects has recent...

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Detalles Bibliográficos
Autor principal: Mugnolo, Delio
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-04621-1
http://cds.cern.ch/record/1707566
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author Mugnolo, Delio
author_facet Mugnolo, Delio
author_sort Mugnolo, Delio
collection CERN
description This concise text is based on a series of lectures held only a few years ago and originally intended as an introduction to known results on linear hyperbolic and parabolic equations.  Yet the topic of differential equations on graphs, ramified spaces, and more general network-like objects has recently gained significant momentum and, well beyond the confines of mathematics, there is a lively interdisciplinary discourse on all aspects of so-called complex networks. Such network-like structures can be found in virtually all branches of science, engineering and the humanities, and future research thus calls for solid theoretical foundations.      This book is specifically devoted to the study of evolution equations – i.e., of time-dependent differential equations such as the heat equation, the wave equation, or the Schrödinger equation (quantum graphs) – bearing in mind that the majority of the literature in the last ten years on the subject of differential equations of graphs has been devoted to elliptic equations and related spectral problems. Moreover, for tackling the most general settings - e.g. encoded in the transmission conditions in the network nodes - one classical and elegant tool is that of operator semigroups. This book is simultaneously a very concise introduction to this theory and a handbook on its applications to differential equations on networks. With a more interdisciplinary readership in mind, full proofs of mathematical statements have been frequently omitted in favor of keeping the text as concise, fluid and self-contained as possible. In addition, a brief chapter devoted to the field of neurodynamics of the brain cortex provides a concrete link to ongoing applied research.
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spelling cern-17075662021-04-21T20:58:23Zdoi:10.1007/978-3-319-04621-1http://cds.cern.ch/record/1707566engMugnolo, DelioSemigroup methods for evolution equations on networksMathematical Physics and MathematicsThis concise text is based on a series of lectures held only a few years ago and originally intended as an introduction to known results on linear hyperbolic and parabolic equations.  Yet the topic of differential equations on graphs, ramified spaces, and more general network-like objects has recently gained significant momentum and, well beyond the confines of mathematics, there is a lively interdisciplinary discourse on all aspects of so-called complex networks. Such network-like structures can be found in virtually all branches of science, engineering and the humanities, and future research thus calls for solid theoretical foundations.      This book is specifically devoted to the study of evolution equations – i.e., of time-dependent differential equations such as the heat equation, the wave equation, or the Schrödinger equation (quantum graphs) – bearing in mind that the majority of the literature in the last ten years on the subject of differential equations of graphs has been devoted to elliptic equations and related spectral problems. Moreover, for tackling the most general settings - e.g. encoded in the transmission conditions in the network nodes - one classical and elegant tool is that of operator semigroups. This book is simultaneously a very concise introduction to this theory and a handbook on its applications to differential equations on networks. With a more interdisciplinary readership in mind, full proofs of mathematical statements have been frequently omitted in favor of keeping the text as concise, fluid and self-contained as possible. In addition, a brief chapter devoted to the field of neurodynamics of the brain cortex provides a concrete link to ongoing applied research.Springeroai:cds.cern.ch:17075662014
spellingShingle Mathematical Physics and Mathematics
Mugnolo, Delio
Semigroup methods for evolution equations on networks
title Semigroup methods for evolution equations on networks
title_full Semigroup methods for evolution equations on networks
title_fullStr Semigroup methods for evolution equations on networks
title_full_unstemmed Semigroup methods for evolution equations on networks
title_short Semigroup methods for evolution equations on networks
title_sort semigroup methods for evolution equations on networks
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-04621-1
http://cds.cern.ch/record/1707566
work_keys_str_mv AT mugnolodelio semigroupmethodsforevolutionequationsonnetworks