Introductory Clifford Analysis

Abstract

In this chapter an introduction is given to Clifford analysis and the underlying Clifford algebras. The functions under consideration are defined on Euclidean space and take values in the universal real or complex Clifford algebra, the structure and properties of which are also recalled in detail. The function theory is centered around the notion of a monogenic function, which is a null solution of a generalized Cauchy-Riemann operator, which is rotation invariant and factorizes the Laplace operator. In this way, Clifford analysis may be considered both as a generalization to higher dimension of the theory of holomorphic functions in the complex plane and a refinement of classical harmonic analysis. A notion of monogenicity may also be associated to the vectorial part of the Cauchy-Riemann operator, which is called the Dirac operator; some attention is paid to the intimate relation between both notions. Since a product of monogenic functions is, in general, no longer monogenic, it is crucial to possess some tools for generating monogenic functions: such tools are provided by Fueter's theorem on the one hand and the Cauchy-Kovalevskaya extension theorem on the other. A corner stone in this function theory is the Cauchy integral formula for representation of a monogenic function in the interior of its domain of monogenicity. Starting from this representation formula and related integral formulae, it is possible to consider integral transforms such as Cauchy, Hilbert and Radon transforms, which are important both within the theoretical framework and in view of possible applications.

Analysis of Factors Affecting the Volume Of Sugar Imports in Indonesia in 2017-2019

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Clifford Wavelet Transform and the Uncertainty Principle

“…In this section, we aim to recall the basic properties of the Clifford algebras (See [8], [13] and the references therein). Next, a brief review of continuous wavelet transform in R and the Heisenberg uncertainty principle are developed.…”

“…With respect to the geometric product of vectors, division by non-zero vectors is defined. Clifford analysis/algebra has started to take place especially in signal and image processing (See for instance [2], [4], [5], [6], [8], [9], [13]).…”