This book develops three related tools that are useful in the analysis of partial differential equations (PDEs), arising from the classical study of singular integral operators: pseudodifferential operators, paradifferential operators, and layer potentials. A theme running throughout the work is the treatment of PDE in the presence of relatively little regularity. The first chapter studies classes of pseudodifferential operators whose symbols have a limited degree of regularity; the second chapter shows how paradifferential operators yield sharp estimates on the action of various nonlinear operators on function spaces. The third chapter applies this material to an assortment of results in PDE, including regularity results for elliptic PDE with rough coefficients, planar fluid flows on rough domains, estimates on Riemannian manifolds given weak bounds on Ricci tensor, div-curl estimates, and results on propagation of singularities for wave equations with rough coefficients. The last chapter studies the method of layer potentials on Lipschitz domains, concentrating on applications to boundary problems for elliptic PDE with variable coefficients.
This book features a collection of papers devoted to recent results in nonlinear partial differential equations and applications.
Informed by the authors' extensive research experience and years of teaching, this book is for graduate students and researchers who wish to gain real working knowledge of the subject.
Beginning with the necessary definitions and theorems from distribution theory, the book gradually builds the functional analytic framework for studying elliptic PDE using variational formulations.
Many examples from physics are intended to keep the book intuitive and to illustrate the applied nature of the subject. The book is useful for a higher-level undergraduate course and for self-study.
This book uses these modern numerical tools to demonstrate how to solve nonlinear partial differential equations (PDEs) in parallel.
Over the past decade, this tool has also begun to yield interesting results in nonlinear PDE. This book is devoted to a summary and reconsideration of some used of pseudodifferential operator techniques in nonlinear PDE.
V. KUMAR, A. GRAMA, A. GUPTA, AND G. KARYPIs, Introduction to Parallel Computing: Design and Analysis ofAlgorithms, Benjamin/Cummings Publishing Company, Redwood City, CA, 1994. C.-H. LAI, P. E. BJoRsTAD, M. CRoss, AND O. B. WIDLUND, ...
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Partial Differential Equations presents a balanced and comprehensive introduction to the concepts and techniques required to solve problems containing unknown functions of multiple variables.
is an eigenfunction for corresponding to 0, that is, (2.27) u0 D 0u0; then u0 is nowhere vanishing on the interior of. Proof. We have u0 2 C 1. /. Define uC0 and u0, respectively, by uC0.x/ D max .u0.x/; 0/; u0.x/ D min .u0.x/;0/: It is ...