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Functional analysis tools for practical use in sciences and engineering

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Functional analysis tools for practical use in sciences and engineeringby Carlos A. de Moura.
作者:	Moura, Carlos A. de.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xvii, 214 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Functional analysis.
電子資源:	https://doi.org/10.1007/978-3-031-10598-2
ISBN:	9783031105982$q(electronic bk.)

Functional analysis tools for practical use in sciences and engineering
Moura, Carlos A. de.

Functional analysis tools for practical use in sciences and engineering[electronic resource] /by Carlos A. de Moura. - Cham :Springer International Publishing :2022. - xvii, 214 p. :ill., digital ;24 cm.

Road Map -- Basic Concepts -- Dual of a Normed Space -- Sobolev Spaces, Distributions -- The Three Basic Principles -- Compactness -- Function Derivatives in Normed Spaces -- Hilbert Bases and Approximations.

This textbook describes selected topics in functional analysis as powerful tools of immediate use in many fields within applied mathematics, physics and engineering. It follows a very reader-friendly structure, with the presentation and the level of exposition especially tailored to those who need functional analysis but don't have a strong background in this branch of mathematics. For every tool, this work emphasizes the motivation, the justification for the choices made, and the right way to employ the techniques. Proofs appear only when necessary for the safe use of the results. The book gently starts with a road map to guide reading. A subsequent chapter recalls definitions and notation for abstract spaces and some function spaces, while Chapter 3 enters dual spaces. Tools from Chapters 2 and 3 find use in Chapter 4, which introduces distributions. The Linear Functional Analysis basic triplet makes up Chapter 5, followed by Chapter 6, which introduces the concept of compactness. Chapter 7 brings a generalization of the concept of derivative for functions defined in normed spaces, while Chapter 8 discusses basic results about Hilbert spaces that are paramount to numerical approximations. The last chapter brings remarks to recent bibliographical items. Elementary examples included throughout the chapters foster understanding and self-study. By making key, complex topics more accessible, this book serves as a valuable resource for researchers, students, and practitioners alike that need to rely on solid functional analysis but don't need to delve deep into the underlying theory.

ISBN: 9783031105982$q(electronic bk.)

Standard No.: 10.1007/978-3-031-10598-2doiSubjects--Topical Terms:

200585
Functional analysis.

LC Class. No.: QA320 / .M68 2022

Dewey Class. No.: 515.7

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520 $a This textbook describes selected topics in functional analysis as powerful tools of immediate use in many fields within applied mathematics, physics and engineering. It follows a very reader-friendly structure, with the presentation and the level of exposition especially tailored to those who need functional analysis but don't have a strong background in this branch of mathematics. For every tool, this work emphasizes the motivation, the justification for the choices made, and the right way to employ the techniques. Proofs appear only when necessary for the safe use of the results. The book gently starts with a road map to guide reading. A subsequent chapter recalls definitions and notation for abstract spaces and some function spaces, while Chapter 3 enters dual spaces. Tools from Chapters 2 and 3 find use in Chapter 4, which introduces distributions. The Linear Functional Analysis basic triplet makes up Chapter 5, followed by Chapter 6, which introduces the concept of compactness. Chapter 7 brings a generalization of the concept of derivative for functions defined in normed spaces, while Chapter 8 discusses basic results about Hilbert spaces that are paramount to numerical approximations. The last chapter brings remarks to recent bibliographical items. Elementary examples included throughout the chapters foster understanding and self-study. By making key, complex topics more accessible, this book serves as a valuable resource for researchers, students, and practitioners alike that need to rely on solid functional analysis but don't need to delve deep into the underlying theory.
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