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Geometric Analysis of Quasilinear Inequalities on Complete Manifolds - Maximum and Compact Support Principles and Detours on Manifolds (Paperback, 1st ed. 2021) Loot Price: R1,654
Discovery Miles 16 540
Geometric Analysis of Quasilinear Inequalities on Complete Manifolds - Maximum and Compact Support Principles and Detours on...

Geometric Analysis of Quasilinear Inequalities on Complete Manifolds - Maximum and Compact Support Principles and Detours on Manifolds (Paperback, 1st ed. 2021)

Bruno Bianchini, Luciano Mari, Patrizia Pucci, Marco Rigoli

Series: Frontiers in Mathematics

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Loot Price R1,654 Discovery Miles 16 540 | Repayment Terms: R155 pm x 12*

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This book demonstrates the influence of geometry on the qualitative behaviour of solutions of quasilinear PDEs on Riemannian manifolds. Motivated by examples arising, among others, from the theory of submanifolds, the authors study classes of coercive elliptic differential inequalities on domains of a manifold M with very general nonlinearities depending on the variable x, on the solution u and on its gradient. The book highlights the mean curvature operator and its variants, and investigates the validity of strong maximum principles, compact support principles and Liouville type theorems. In particular, it identifies sharp thresholds involving curvatures or volume growth of geodesic balls in M to guarantee the above properties under appropriate Keller-Osserman type conditions, which are investigated in detail throughout the book, and discusses the geometric reasons behind the existence of such thresholds. Further, the book also provides a unified review of recent results in the literature, and creates a bridge with geometry by studying the validity of weak and strong maximum principles at infinity, in the spirit of Omori-Yau's Hessian and Laplacian principles and subsequent improvements.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Frontiers in Mathematics
Release date: 2021
First published: 2021
Authors: Bruno Bianchini • Luciano Mari • Patrizia Pucci • Marco Rigoli
Dimensions: 240 x 168mm (L x W)
Format: Paperback
Pages: 286
Edition: 1st ed. 2021
ISBN-13: 978-3-03-062703-4
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
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LSN: 3-03-062703-9
Barcode: 9783030627034

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