## Abstract In conventional generalization of the main results of classical measure theory to Stone algebra valued measures, the values that measures and functions can take are Booleanized, while the classical notion of a Οβfield is retained. The main purpose of this paper is to show by abundace of
Spinor-valued and Clifford algebra-valued harmonic polynomials
β Scribed by Yasushi Homma
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 113 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0393-0440
No coin nor oath required. For personal study only.
β¦ Synopsis
We give decompositions of the spinor-valued and the Clifford algebra-valued harmonic polynomials on R n . In order to do so, we consider some differential complexes and show that these are exact. As a corollary, we have PoincarΓ© lemma for harmonic polynomials. Besides, we prove that each component of the decompositions is an irreducible representation space with respect to Spin(n).
π SIMILAR VOLUMES
Spinors were first used under that name by physicists in the field of quantum mechanics. E. Cartan (see [1]) discovered a more geometrical setting for them, at least in the case that the scalar field was either the reals or the complexes. In 1954, C. Chevalley [2] gave the definitive treatment for t
Let A be a Dedekind domain with finite residue fields, K it's quotient field, L a finite separable extension of K, and B the integral closure of A in L. The rings of integer-valued polynomials on A and B are known to be Pru fer domains and will be denoted by Int(A) and Int(B), respectively. We will
Let \(R\) be a Dedekind domain with field of fractions \(K, L=K(x)\) a finite separable extension of \(K\), and \(S\) the integral closure of \(R\) in \(L\). Let \(I\) be the subring of \(K[X]\) consisting of all polynomials \(g(x)\) in \(K[X]\) such that \(g(R) \subset R\), and let \(E_{x}: I \righ
## Abstract We consider quantum random walks (QRW) on the integers, a subject that has been considered in the last few years in the framework of quantum computation. We show how the theory of CMV matrices gives a natural tool to study these processes and to give results that are analogous to those