Spectral and Spectral Element Methods for Fractional Ordinary and Partial Differential Equations

Erscheinungsjahr 2024
ISBN: 978-1-108-49099-3
Verlag: Cambridge University Press

Buch, Englisch, Band 41, 742 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 1206 g

Reihe: Cambridge Monographs on Applied and Computational Mathematics

This comprehensive introduction to global spectral methods for fractional differential equations from leaders of this emerging field is designed to be accessible to graduate students and researchers across math, science, and engineering. The book begins by covering the foundational fractional calculus concepts needed to understand and model anomalous transport phenomena. The authors proceed to introduce a series of new spectral theories and new families of orthogonal and log orthogonal functions, then present corresponding spectral and spectral element methods for fractional differential equations. The book also covers the fractional Laplacian in unbounded and bounded domains and major developments in time-integration of fractional models. It ends by sampling the wide variety of real-world applications of fractional modeling, including concentration transport in surface/subsurface dynamics, complex rheology and material damage, and fluid turbulence and geostrophic transport.

Autoren/Hrsg.

Zayernouri, Mohsen

Wang, Li-Lian

Shen, Jie

Karniadakis, George Em

Fachgebiete

• Mathematik | Informatik Mathematik Mathematische Analysis Moderne Anwendungen der Analysis

Inhaltsverzeichnis

1. Fractional calculus and anomalous transport; 2. Spectral expansions and related approximations; 3. Global schemes for fractional ODEs (FODEs); 4. Global schemes for fractional PDEs (FPDEs); 5. Integral fractional Laplacian in unbounded domains; 6. Fractional Laplacian in bounded domains; 7. Time-integration of fractional models; 8. Applications of anomalous transport and fractional modeling; References; Index.

Über Autor(innen)

Shen, Jie
Jie Shen is currently Chair Professor and Dean of the School of Mathematical Sciences at Eastern Institute of Technology, Ningbo, China. For more than two decades, he was Professor of Mathematics at Purdue University where he served as Director of the Center for Computational and Applied Mathematics from 2012 to 2022, and was named Distinguished Professor of Mathematics in 2023. He is an elected fellow of the American Mathematical Society and the Society for Industrial and Applied Mathematics, and lead author of the book 'Spectral Methods: Algorithms, Analysis and Applications.'

Wang, Li-Lian
Li-Lian Wang is Professor of Applied Mathematics at Nanyang Technological University in Singapore. His research is focused on numerical analysis of fractional differential equations, spectral methods, triangular spectral-element methods, computational acoustics and electromagnetics, and simulations of metamaterials. He is co-author of the book 'Spectral Methods: Algorithms, Analysis and Applications.'

Zayernouri, Mohsen
Mohsen Zayernouri is Associate Professor of Mechanical Engineering and Statistics and Probability at Michigan State University. He is the recipient of two Young Investigator Program (YIP) awards from the US Air Force Office of Scientific Research (AFOSR) and Army Research Office (ARO). He brings to bear advanced computational tools from applied mathematics and data sciences to develop stochastic modeling and predictive simulation tools for challenging physical and engineering problems, including: stochastic Lévy processes in turbulent flows and anomalous transport in multi-scale and disordered bio-materials.

Karniadakis, George Em
George Em Karniadakis is Professor of Applied Mathematics at Brown University. He is a member of the US National Academy of Engineering and the author or co-author of six books. He is well known for his wide spectrum of work on high-dimensional stochastic modeling and multi-scale simulations of physical and biological systems. He is also a pioneer of spectral/hp-element methods for fluids in complex geometries, general polynomial chaos for uncertainty quantification, and the Sturm-Liouville theory for partial differential equations and fractional calculus.