: László Székelyhidi
: Discrete Spectral Synthesis and Its Applications
: Springer-Verlag
: 9781402046377
: 1
: CHF 50.40
:
: Analysis
: English
: 119
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

This book studies the situation over discrete Abelian groups with wide range applications. It covers classical functional equations, difference and differential equations, polynomial ideals, digital filtering and polynomial hypergroups, giving unified treatment of several different problems. There is no other comprehensive work in this field. The book will be of interest to graduate students, research workers in harmonic analysis, spectral analysis, functional equations and hypergroups.

1 Introduction (p. 1)

The basic tools for the investigation of different algebraic and analytical structures are representation and duality."Representation" means that we establish a correspondence between our abstract structure and a similar, more particular one. Usually this more particular structure, the"representing" structure is formed by functions, de.ned on a set which is the so-called"dual" object.

In order to get a"faithful" representation, it seems to be reasonable that the correspondence in question is one-to-one. Another reasonable requirement is that if the same procedure is applied to the dual object, then its dual can be identified with the original structure. In order to do that, the dual object should have an"internal" characterization. Finally, a characterization of the"representing" structure is also desirable : which functions on the dual object belong to the"representing" structure?

The method of representation and duality appears in several different fields of algebra, analysis, etc. For instance, linear spaces can be represented as linear spaces of linear functionals, topological spaces can be represented as topological spaces of continuous functions, topological groups can be represented as topological groups of special homomorphisms, and so on. However, in all these cases one can assure the faithfulness via different assumptions only.

In the case of linear spaces the injectivity of the representing mapping holds only if the linear functionals of the original linear space form a separating family, which leads to Hahn– Banach type theorems. In the case of topological spaces the same requirement leads to conditions similar to those in Uryshon’s Lemma. In the theory of algebras the corresponding representation process can be described by the Gelfand transformation.

Let A be a complex algebra and let H denote a set of algebra homomorphisms of A onto C, the algebra of complex numbers. Such homomorphisms are called multiplicative linear functionals . We remark that the assumption on the surjectivity of a complex algebra homomorphism is obviously equivalent to it being nonidentically zero. Evidently, H is a subset of the algebraic dual of A, however, in general, H has no natural algebraic structure.

Contents7
Preface9
1 Introduction16
2 Spectral synthesis and spectral analysis22
2.1 The basic problems of spectral analysis and spectral synthesis22
2.2 Spectral analysis and synthesis on L1(G)23
2.2 Spectral analysis and synthesis on L (G)26
2.4 Spectral analysis and synthesis on C(G)32
3 Spectral analysis and spectral synthesis on discrete Abelian groups40
3.1 Spectral analysis on discrete Abelian torsion groups40
3.2 Spectral analysis on Abelian groups42
3.3 Spectral analysis on commutative semigroups42
3.4 Spectral synthesis and polynomial ideals44
3.5 The failure of spectral synthesis on some types of discrete Abelian groups49
3.6 Spectral synthesis on Abelian torsion groups53
3.7 Polynomial functions and spectral synthesis57
4 Spectral synthesis and functional equations64
4.1 Convolution type functional equations64
4.2 Mean value type functional equations67
4.3 A functional equation in digital filtering75
5 Mean periodic functions84
5.1 The Fourier transform of mean periodic functions84
5.2 The Fourier transform of exponential polynomials92
5.3 Applications to differential equations94
6 Difference equations in several variables98
6.1 Spectral synthesis of difference equations98
6.2 Applications102
7 Spectral analysis and synthesis on polynomial hypergroups in a single variable106
7.1 Polynomial hypergroups in one variable106
7.2 Spectral analysis on polynomial hypergroups in one variable111
7.3 Spectral synthesis on polynomial hypergroups in one variable113
8 Spectral analysis and synthesis on multivariate polynomial hypergroups118
8.1 Polynomial hypergroups in several variables118
8.2 Exponential and additive functions on multivariate polynomial hypergroups119
8.3 Spectral analysis and spectral synthesis on multivariate polynomial hypergroups122
References124
Index128