Nicht aus der Schweiz? Besuchen Sie lehmanns.de

Applied Nonautonomous and Random Dynamical Systems (eBook)

Applied Dynamical Systems
eBook Download: PDF
2017 | 1st ed. 2016
X, 108 Seiten
Springer International Publishing (Verlag)
978-3-319-49247-6 (ISBN)

Lese- und Medienproben

Applied Nonautonomous and Random Dynamical Systems - Tomás Caraballo, Xiaoying Han
Systemvoraussetzungen
58,84 inkl. MwSt
(CHF 57,45)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
This book offers an introduction to the theory of non-autonomous and stochastic dynamical systems, with a focus on the importance of the theory in the Applied Sciences. It starts by discussing the basic concepts from the theory of autonomous dynamical systems, which are easier to understand and can be used as the motivation for the non-autonomous and stochastic situations. The book subsequently establishes a framework for non-autonomous dynamical systems, and in particular describes the various approaches currently available for analysing the long-term behaviour of non-autonomous problems. Here, the major focus is on the novel theory of pullback attractors, which is still under development. In turn, the third part represents the main body of the book, introducing the theory of random dynamical systems and random attractors and revealing how it may be a suitable candidate for handling realistic models with stochasticity. A discussion of future research directions serves to round out the coverage.


Tomás Caraballo graduated with a degree in Mathematical Sciences in 1984, and received his Ph.D.  in the same subject at the Universidad de Sevilla (Spain) in 1988. He is currently a Catedrático de Universidad (Full Professor) at the Departamento de Ecuaciones Diferenciales y Análisis Numérico, Universidad de Sevilla. He has participated in or been Principal Investigator for more than 20 research projects. He has authored or co-authored more than 180 papers, has supervised 10 doctoral theses, and has been associate or guest editor of numerous scientific journals. His current research interests are non-autonomous and random dynamical systems, both in finite and infinite dimensions, stochastic ordinary and partial differential equations with memory, delay, impulses and their applications to real models from the applied sciences.

Xiaoying Han received her Ph.D. in mathematics from the State University of New York at Buffalo in 2007. She is an associate professor of mathematics at Auburn University's Department of Mathematics and Statistics, Alabama, USA. Her main research focuses are nonautonomous and random dynamical systems and their applications, and she is also interested in modeling, analysis and simulation of stochastic systems arising in applied sciences and engineering.

Tomás Caraballo graduated with a degree in Mathematical Sciences in 1984, and received his Ph.D.  in the same subject at the Universidad de Sevilla (Spain) in 1988. He is currently a Catedrático de Universidad (Full Professor) at the Departamento de Ecuaciones Diferenciales y Análisis Numérico, Universidad de Sevilla. He has participated in or been Principal Investigator for more than 20 research projects. He has authored or co-authored more than 180 papers, has supervised 10 doctoral theses, and has been associate or guest editor of numerous scientific journals. His current research interests are non-autonomous and random dynamical systems, both in finite and infinite dimensions, stochastic ordinary and partial differential equations with memory, delay, impulses and their applications to real models from the applied sciences.Xiaoying Han received her Ph.D. in mathematics from the State University of New York at Buffalo in 2007. She is an associate professor of mathematics at Auburn University’s Department of Mathematics and Statistics, Alabama, USA. Her main research focuses are nonautonomous and random dynamical systems and their applications, and she is also interested in modeling, analysis and simulation of stochastic systems arising in applied sciences and engineering.

1 Introduction.- 2 Autonomous dynamical systems.- 2.1 Basic Stability Theory.- 2.2 Attractors. - 2.3 Applications. - 2.3.1 Application to ecology: a chemostat model.- 2.3.2 Application to epidemiology: the SIR model.- 2.3.3 Application to climate change: the Lorenz-84 model.- 3 Nonautonomous dynamical systems.- 3.1 Formulations of nonautonomous dynamical systems.- 3.1.1 Process formulation.- 3.1.2 Skew product flow formulation.- 3.2 Nonautonomous Attractors.- 3.2.1 Nonautonomous attractors for processes.- 3.2.2 Nonautonomous attractors for skew product flows.- 3.3 Applications.- 3.3.1 Nonautonomous chemostat model.- 3.3.2 Nonautonomous SIR model.- 3.3.3 Nonautonomous Lorenz-84 model.- 4 Random dynamical systems.- 4.1 Noise is present almost everywhere.- 4.2 Formulation of Random Dynamical System and Random Attracto.- 4.2.1 Some properties of the random attractor.- 4.2.2 Generation of random dynamical systems.- 4.2.3 A brief introduction to stochastic differential equations.- 4.2.4 Global asymptotic behavior of SDEs: conjugation of RDS.- 4.3 Applications.- 4.3.1 Random chemostat.- 4.3.2 Random and stochastic SIR.- 4.3.3 Stochastic Lorenz models.- 4.4 Stabilization of dynamical systems. References 

Erscheint lt. Verlag 31.1.2017
Reihe/Serie SpringerBriefs in Mathematics
SpringerBriefs in Mathematics
Zusatzinfo X, 108 p. 7 illus., 4 illus. in color.
Verlagsort Cham
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Statistik
Technik
Schlagworte Nonautonomous dynamical systems • Ordinary differential equations • pullback attractors • random attractors • random dynamical systems • stability
ISBN-10 3-319-49247-0 / 3319492470
ISBN-13 978-3-319-49247-6 / 9783319492476
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 1,9 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich