A Primer on Semiconvex Functions in General Potential Theories von Kevin R. Payne | ISBN 9783031943409

A Primer on Semiconvex Functions in General Potential Theories

von Kevin R. Payne und Davide Francesco Redaelli
Mitwirkende
Autor / AutorinKevin R. Payne
Autor / AutorinDavide Francesco Redaelli
Buchcover A Primer on Semiconvex Functions in General Potential Theories | Kevin R. Payne | EAN 9783031943409 | ISBN 3-031-94340-6 | ISBN 978-3-031-94340-9

A Primer on Semiconvex Functions in General Potential Theories

von Kevin R. Payne und Davide Francesco Redaelli
Mitwirkende
Autor / AutorinKevin R. Payne
Autor / AutorinDavide Francesco Redaelli

This book examines the symbiotic interplay between fully nonlinear elliptic partial differential equations and general potential theories of second order. Starting with a self-contained presentation of the classical theory of first and second order differentiability properties of convex functions, it collects a wealth of results on how to treat second order differentiability in a pointwise manner for merely semicontinuous functions.  The exposition features an analysis of upper contact jets for semiconvex functions, a proof of the equivalence of two crucial, independently developed lemmas of Jensen (on the viscosity theory of PDEs) and Slodkowski (on pluripotential theory), and a detailed description of the semiconvex approximation of upper semicontinuous functions.

The foundations of general potential theories are covered, with a review of monotonicity and duality, and the basic tools in the viscosity theory of generalized subharmonics, culminating in an account of the monotonicity-duality method for proving comparison principles. The final section shows that the notion of semiconvexity extends naturally to manifolds. A complete treatment of important background results, such as Alexandrov’s theorem and a Lipschitz version of Sard’s lemma, is provided in two appendices.

The book is aimed at a wide audience, including professional mathematicians working in fully nonlinear PDEs, as well as master’s and doctoral students with an interest in mathematical analysis.