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Comparison Principles for General Potential Theories and PDEs

(AMS-218)

H. Blaine Lawson, Marco Cirant, Kevin R. Payne, et al.

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Princeton University Press img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Mathematik

Beschreibung

An examination of the symbiotic and productive relationship between fully nonlinear partial differential equations and generalized potential theories

In recent years, there has evolved a symbiotic and productive relationship between fully nonlinear partial differential equations and generalized potential theories. This book examines important aspects of this story. One main purpose is to prove comparison principles for nonlinear potential theories in Euclidian spaces straightforwardly from duality and monotonicity under the weakest possible notion of ellipticity. The book also shows how to deduce comparison principles for nonlinear differential operators, by marrying these two points of view, under the correspondence principle.

The authors explain that comparison principles are fundamental in both contexts, since they imply uniqueness for the Dirichlet problem. When combined with appropriate boundary geometries, yielding suitable barrier functions, they also give existence by Perron’s method. There are many opportunities for cross-fertilization and synergy. In potential theory, one is given a constraint set of 2-jets that determines its subharmonic functions. The constraint set also determines a family of compatible differential operators. Because there are many such operators, potential theory strengthens and simplifies the operator theory. Conversely, the set of operators associated with the constraint can influence the potential theory.

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Schlagwörter

Annals of Mathematics Studies, H. Blaine Lawson, Jr., Subequation constraints, Marco Cirant, F. Reese Harvey, Comparison Principles for General Potential Theories and PDEs: (AMS-218), Princeton, viscosity solutions, degenerate elliptic, Kevin R. Payne, mathematical theories, Princeton University Press: math, fully nonlinear