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Attractors for Non-Classical Diffusion Equations and Kirchhoff Wave Equations - Yuming QIN, Bin Yang - EDP sciences

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Attractors for Non-Classical Diffusion Equations and Kirchhoff Wave Equations

de Yuming QIN (auteur), Bin Yang (auteur)
Maison d'édition : EDP sciences
octobre 2024
266 pages Téléchargement après achat
58,99 €

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Résumé

This book presents the latest research on global well-posedness including asymptotic behavior of solutions to some non-classical diffusion equations with fading memories, nonlocal terms or delays in several time-dependent spaces. The results collected in this book have been established by the authors and their collaborators over recent years.This book has two distinguishing features. First, while there are many published works on non-classical diffusion equations in Sobolev spaces without time-dependent terms but few results in time-dependent spaces, this book fills this gap. Second, this book provides new results on the existence, regularity and upper semicontinuity of time-dependent global attractors, strong attractors, and pullback attractors in time-dependent spaces, as well as the ideas and methods for dealing with these problems that can be used in other related models.

Auteur

  • Yuming QIN (auteur)

    Dr. Yuming QIN is full professor, head of Mathematics Department and director of Institute of Nonlinear Sciences of Donghua University. His research interests are global (local) wellposedness of solutions and infinite-dimensional dynamical systems for nonlinear evolutionary equations including fluid equations such as Navier–Stokes equations, MHD, etc, and thermo(visco)elastic equations.

  • Bin Yang (auteur)

    Bin YANG is a PhD student at College of Information Science and Technology, Donghua University. Her research interests are global well-posedness of solutions and infinite dimensional dynamical systems.

Auteur(s) : Yuming QIN, Bin Yang

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Caractéristiques

Editeur : EDP sciences

Auteur(s) : Yuming QIN, Bin Yang

Publication : 21 octobre 2024

Intérieur : Noir & blanc

Support(s) : Livre numérique eBook [PDF]

Contenu(s) : PDF

Protection(s) : Marquage social (PDF)

Taille(s) : 2,66 Mo (PDF)

Langue(s) : Anglais

Code(s) CLIL : 3052

EAN13 Livre numérique eBook [PDF] : 9782759835393

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