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弱可微函数(英文版)

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弱可微函数(英文版)

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定 价:¥48.00

作 者:W.P.Ziemer 著

出 版 社:世界图书出版公司

出版时间:1999-3-1

I S B N:9787506210225

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    内容简介

    The term "weakly differentiable functions" in the title refers to those inte grable functions defined on an open subset of Rn whose partial derivatives in the sense of distributions are either Lr functions or (signed) measures with finite total variation. The former class of functions comprises what is now known as Sobolev spaces, though its origin, traceable to the early 1900s, predates the contributions by Sobolev. Both classes of functions, Sobolev spaces and the space of functions of bounded variation (BV functions), have undergone considerable development during the past 20 years. From this development a rather complete theory has emerged and thus has provided the main impetus for the writing of this book. Since these classes of functions play a significant role in many fields, such as approximation theory, calculus of variations, partial differential equations, and non-linear potential theory, it is hoped that this monograph will be of assistance to a wide range of graduate students and researchers in these and perhaps other related areas. Some of the material in Chapters 1-4 has been presented in a graduate course at Indiana University during the 1987-88 academic year, and I am indebted to the students and colleagues in attendance for their helpful comments and suggestions.

    作者简介

    目录

    Preface
    1 Preliminaries
    1.1 Notation
    Inner product of vectors
    Support of a function
    Boundary of a set
    Distance from a point to a set
    Characteristic function of a set
    Multi-indices
    Partial derivative operators
    Function spaces--continuous, HSlder continuous,
    HSlder continuous derivatives
    1.2 Measures on Rn
    Lebesgue measurable sets
    Lebesgue measurability of Borel sets
    Suslin sets
    1.3 Covering Theorems
    Hausdorff maximal principle
    General covering theorem
    Vitali covering theorem
    Covering lemma, with n-balls whose radii vary in Lips hitzian way
    Besicovitch covering lemma
    Besicovitch differentiation theorem
    1.4 Hausdorff Measure
    Equivalen e of Hausdorff and Lebesgue measures
    Hausdorff dimension
    1.5 LP-Spaces
    Integration of a function via its distribution
    function
    Young's inequality
    Holder's and Jensen's inequality
    1.6 Regularization
    LP-spaces and regularization
    1.7 Distributions
    Functions and measures, as distributions
    Positive distributions
    Distributions determined by their lo al behavior
    Convolution of distributions
    Differentiation of distributions
    1.8 Lorentz Spaces
    Non-in reasing rearrangement of a fun tion
    Elementary properties of rearranged functions
    Lorentz spaces
    O'Neil's inequality, for rearranged functions
    Equivalence of LP-norm and (p,p)-norm
    Hardy's inequality
    Inclusion relations of Lorentz spaces
    Exercises
    Historical Notes
    Sobolev Spaces and Their Basic Properties
    2.1 Weak Derivatives
    Sobolev spaces
    Absolute continuity on lines
    LP-norm of difference quotients
    Truncation of Sobolev functions
    Composition of Sobolev functions
    2.2 Change of Variables for Sobolev functions
    Radema her's theorem
    Bi-Lipschitzian change of variables
    2.3 Approximation of Sobolev functions by Smooth functions
    Partition of unity
    Smooth functions are dense in Wk'p
    2.4 Sobolev Inequalities
    Sobolev's inequality
    2.5 The Relli h-Kondrachov compactness Theorem
    Extension domains
    2.6 Bessel Potentials and apacity
    Riesz and Bessel kernels
    Bessel potentials
    Bessel apacity
    Basic properties of Bessel apacity
    Capa itability of Suslin sets
    Minimax theorem and alternate formulation of
    Bessel apacity
    ……
    3 Pointwise Behavior of Sobolev Functions
    4 Poincare Inequalities
    5 Functions of Bounded Variation
    Bibliography
    List of Symbols
    Index



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