Format:
1 Online-Ressource (VIII, 276 Seiten)
,
Illustrationen, Diagramme
ISBN:
9783030671594
Series Statement:
Springer eBook Collection
Content:
Introduction -- Preliminaries -- Convex and Lower-semicontinuous Functions -- The Subdifferential of a Convex Function -- Evolution Equations -- Distributions -- Tempered Distributions -- Differential Equations in Distributions -- Sobolev Spaces -- Variational Problems -- On Some Spaces of Distributions -- On Some Differential Operators.
Content:
This book presents important contributions to modern theories concerning the distribution theory applied to convex analysis (convex functions, functions of lower semicontinuity, the subdifferential of a convex function). The authors prove several basic results in distribution theory and present ordinary differential equations and partial differential equations by providing generalized solutions. In addition, the book deals with Sobolev spaces, which presents aspects related to variation problems, such as the Stokes system, the elasticity system and the plate equation. The authors also include approximate formulations of variation problems, such as the Galerkin method or the finite element method. The book is accessible to all scientists, and it is especially useful for those who use mathematics to solve engineering and physics problems. The authors have avoided concepts and results contained in other books in order to keep the book comprehensive. Furthermore, they do not present concrete simplified models and pay maximal attention to scientific rigor.
Additional Edition:
ISBN 9783030671587
Additional Edition:
ISBN 9783030671600
Additional Edition:
ISBN 9783030671617
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783030671587
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783030671600
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783030671617
Additional Edition:
Erscheint auch als Druck-Ausgabe Chirilă, Adina Distribution theory applied to differential equations Cham, Switzerland : Springer Nature, 2021 ISBN 9783030671587
Language:
English
DOI:
10.1007/978-3-030-67159-4
Author information:
Öchsner, Andreas 1970-
