Applied Functional Analysis, Second Edition

To better prepare students to learn the variational theory of partial differential equations and numerical analysis, this book presents mathematical foundations leading to classical results in functional analysis. It includes such topics as the singular value decomposition, the Lebesgue measure, and the Banach contractive map theorem.

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Through numerous illustrative examples and comments, Applied Functional Analysis, Second Edition demonstrates the rigor of logic and systematic, mathematical thinking. It presents the mathematical foundations that lead to classical results in functional analysis. More specifically, the text prepares students to learn the variational theory of partial differential equations, distributions and Sobolev spaces, and numerical analysis with an emphasis on finite element methods.





While retaining the structure of its best-selling predecessor, this second edition includes revisions of many original examples, along with new examples that often reflect the authors’ own vast research experiences and perspectives. This edition also provides many more exercises as well as a solutions manual for qualifying instructors. Each chapter begins with an extensive introduction and concludes with a summary and historical comments that frequently refer to other sources.


New to the Second Edition








Completely revised section on lim sup and lim inf
New discussions of connected sets, probability, Bayesian statistical inference, and the generalized (integral) Minkowski inequality
New sections on elements of multilinear algebra and determinants, the singular value decomposition theorem, the Cauchy principal value, and Hadamard finite part integrals
New example of a Lebesgue non-measurable set








Ideal for a two-semester course, this proven textbook teaches students how to prove theorems and prepares them for further study of more advanced mathematical topics. It helps them succeed in formulating research questions in a mathematically rigorous way.