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Theory of Besov spaces
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SpringerLink (Online service)
Theory of Besov spaces
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Theory of Besov spaces/ by Yoshihiro Sawano.
Author:
Sawano, Yoshihiro.
Published:
Singapore :Springer Singapore : : 2018.,
Description:
xxiii, 945 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Besov spaces. -
Online resource:
https://doi.org/10.1007/978-981-13-0836-9
ISBN:
9789811308369
Theory of Besov spaces
Sawano, Yoshihiro.
Theory of Besov spaces
[electronic resource] /by Yoshihiro Sawano. - Singapore :Springer Singapore :2018. - xxiii, 945 p. :ill., digital ;24 cm. - Developments in mathematics,v.561389-2177 ;. - Developments in mathematics ;v.20..
An introduction to Besov spaces -- Fundamental facts of harmonic analysis -- Besov space, TriebelLizorkinspaces -- Relation with other function spaces -- Theory of decomposition and its applications -- Applications to partial differential equations and the T1 theorem.
This is a self-contained textbook of the theory of Besov spaces and Triebel-Lizorkin spaces oriented toward applications to partial differential equations and problems of harmonic analysis. These include a priori estimates of elliptic differential equations, the T1 theorem, pseudo-differential operators, the generator of semi-group and spaces on domains, and the Kato problem. Various function spaces are introduced to overcome the shortcomings of Besov spaces and Triebel-Lizorkin spaces as well. The only prior knowledge required of readers is familiarity with integration theory and some elementary functional analysis. Illustrations are included to show the complicated way in which spaces are defined. Owing to that complexity, many definitions are required. The necessary terminology is provided at the outset, and the theory of distributions, Lp spaces, the Hardy-Littlewood maximal operator, and the singular integral operators are called upon. One of the highlights is that the proof of the Sobolev embedding theorem is extremely simple. There are two types for each function space: a homogeneous one and an inhomogeneous one. The theory of function spaces, which readers usually learn in a standard course, can be readily applied to the inhomogeneous one. However, that theory is not sufficient for a homogeneous space; it needs to be reinforced with some knowledge of the theory of distributions. This topic, however subtle, is also covered within this volume. Additionally, related function spaces--Hardy spaces, bounded mean oscillation spaces, and Holder continuous spaces--are defined and discussed, and it is shown that they are special cases of Besov spaces and Triebel-Lizorkin spaces.
ISBN: 9789811308369
Standard No.: 10.1007/978-981-13-0836-9doiSubjects--Topical Terms:
1210597
Besov spaces.
LC Class. No.: QA323 / .S293 2018
Dewey Class. No.: 515.73
Theory of Besov spaces
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An introduction to Besov spaces -- Fundamental facts of harmonic analysis -- Besov space, TriebelLizorkinspaces -- Relation with other function spaces -- Theory of decomposition and its applications -- Applications to partial differential equations and the T1 theorem.
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This is a self-contained textbook of the theory of Besov spaces and Triebel-Lizorkin spaces oriented toward applications to partial differential equations and problems of harmonic analysis. These include a priori estimates of elliptic differential equations, the T1 theorem, pseudo-differential operators, the generator of semi-group and spaces on domains, and the Kato problem. Various function spaces are introduced to overcome the shortcomings of Besov spaces and Triebel-Lizorkin spaces as well. The only prior knowledge required of readers is familiarity with integration theory and some elementary functional analysis. Illustrations are included to show the complicated way in which spaces are defined. Owing to that complexity, many definitions are required. The necessary terminology is provided at the outset, and the theory of distributions, Lp spaces, the Hardy-Littlewood maximal operator, and the singular integral operators are called upon. One of the highlights is that the proof of the Sobolev embedding theorem is extremely simple. There are two types for each function space: a homogeneous one and an inhomogeneous one. The theory of function spaces, which readers usually learn in a standard course, can be readily applied to the inhomogeneous one. However, that theory is not sufficient for a homogeneous space; it needs to be reinforced with some knowledge of the theory of distributions. This topic, however subtle, is also covered within this volume. Additionally, related function spaces--Hardy spaces, bounded mean oscillation spaces, and Holder continuous spaces--are defined and discussed, and it is shown that they are special cases of Besov spaces and Triebel-Lizorkin spaces.
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Mathematics and Statistics (Springer-11649)
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