Quaternions and Functional Calculus
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Quaternion Zernike Spherical Polynomials
MATHEMATICS OF COMPUTATION Volume 84, Number 293, May 2015, Pages 1317–1337 S 0025-5718(2014)02888-3 Article electronically published on August 29, 2014 QUATERNION ZERNIKE SPHERICAL POLYNOMIALS J. MORAIS AND I. CAC¸ AO˜ Abstract. Over the past few years considerable attention has been given to the role played by the Zernike polynomials (ZPs) in many different fields of geometrical optics, optical engineering, and astronomy. The ZPs and their applications to corneal surface modeling played a key role in this develop- ment. These polynomials are a complete set of orthogonal functions over the unit circle and are commonly used to describe balanced aberrations. In the present paper we introduce the Zernike spherical polynomials within quater- nionic analysis ((R)QZSPs), which refine and extend the Zernike moments (defined through their polynomial counterparts). In particular, the underlying functions are of three real variables and take on either values in the reduced and full quaternions (identified, respectively, with R3 and R4). (R)QZSPs are orthonormal in the unit ball. The representation of these functions in terms of spherical monogenics over the unit sphere are explicitly given, from which several recurrence formulae for fast computer implementations can be derived. A summary of their fundamental properties and a further second or- der homogeneous differential equation are also discussed. As an application, we provide the reader with plot simulations that demonstrate the effectiveness of our approach. (R)QZSPs are new in literature and have some consequences that are now under investigation. 1. Introduction 1.1. The Zernike spherical polynomials. The complex Zernike polynomials (ZPs) have long been successfully used in many different fields of optics. -
FUNCTIONAL ANALYSIS 1. Banach and Hilbert Spaces in What
FUNCTIONAL ANALYSIS PIOTR HAJLASZ 1. Banach and Hilbert spaces In what follows K will denote R of C. Definition. A normed space is a pair (X, k · k), where X is a linear space over K and k · k : X → [0, ∞) is a function, called a norm, such that (1) kx + yk ≤ kxk + kyk for all x, y ∈ X; (2) kαxk = |α|kxk for all x ∈ X and α ∈ K; (3) kxk = 0 if and only if x = 0. Since kx − yk ≤ kx − zk + kz − yk for all x, y, z ∈ X, d(x, y) = kx − yk defines a metric in a normed space. In what follows normed paces will always be regarded as metric spaces with respect to the metric d. A normed space is called a Banach space if it is complete with respect to the metric d. Definition. Let X be a linear space over K (=R or C). The inner product (scalar product) is a function h·, ·i : X × X → K such that (1) hx, xi ≥ 0; (2) hx, xi = 0 if and only if x = 0; (3) hαx, yi = αhx, yi; (4) hx1 + x2, yi = hx1, yi + hx2, yi; (5) hx, yi = hy, xi, for all x, x1, x2, y ∈ X and all α ∈ K. As an obvious corollary we obtain hx, y1 + y2i = hx, y1i + hx, y2i, hx, αyi = αhx, yi , Date: February 12, 2009. 1 2 PIOTR HAJLASZ for all x, y1, y2 ∈ X and α ∈ K. For a space with an inner product we define kxk = phx, xi . Lemma 1.1 (Schwarz inequality). -
MAS4107 Linear Algebra 2 Linear Maps And
Introduction Groups and Fields Vector Spaces Subspaces, Linear . Bases and Coordinates MAS4107 Linear Algebra 2 Linear Maps and . Change of Basis Peter Sin More on Linear Maps University of Florida Linear Endomorphisms email: [email protected]fl.edu Quotient Spaces Spaces of Linear . General Prerequisites Direct Sums Minimal polynomial Familiarity with the notion of mathematical proof and some experience in read- Bilinear Forms ing and writing proofs. Familiarity with standard mathematical notation such as Hermitian Forms summations and notations of set theory. Euclidean and . Self-Adjoint Linear . Linear Algebra Prerequisites Notation Familiarity with the notion of linear independence. Gaussian elimination (reduction by row operations) to solve systems of equations. This is the most important algorithm and it will be assumed and used freely in the classes, for example to find JJ J I II coordinate vectors with respect to basis and to compute the matrix of a linear map, to test for linear dependence, etc. The determinant of a square matrix by cofactors Back and also by row operations. Full Screen Close Quit Introduction 0. Introduction Groups and Fields Vector Spaces These notes include some topics from MAS4105, which you should have seen in one Subspaces, Linear . form or another, but probably presented in a totally different way. They have been Bases and Coordinates written in a terse style, so you should read very slowly and with patience. Please Linear Maps and . feel free to email me with any questions or comments. The notes are in electronic Change of Basis form so sections can be changed very easily to incorporate improvements. -
Inverse and Implicit Function Theorems for Noncommutative
Inverse and Implicit Function Theorems for Noncommutative Functions on Operator Domains Mark E. Mancuso Abstract Classically, a noncommutative function is defined on a graded domain of tuples of square matrices. In this note, we introduce a notion of a noncommutative function defined on a domain Ω ⊂ B(H)d, where H is an infinite dimensional Hilbert space. Inverse and implicit function theorems in this setting are established. When these operatorial noncommutative functions are suitably continuous in the strong operator topology, a noncommutative dilation-theoretic construction is used to show that the assumptions on their derivatives may be relaxed from boundedness below to injectivity. Keywords: Noncommutive functions, operator noncommutative functions, free anal- ysis, inverse and implicit function theorems, strong operator topology, dilation theory. MSC (2010): Primary 46L52; Secondary 47A56, 47J07. INTRODUCTION Polynomials in d noncommuting indeterminates can naturally be evaluated on d-tuples of square matrices of any size. The resulting function is graded (tuples of n × n ma- trices are mapped to n × n matrices) and preserves direct sums and similarities. Along with polynomials, noncommutative rational functions and power series, the convergence of which has been studied for example in [9], [14], [15], serve as prototypical examples of a more general class of functions called noncommutative functions. The theory of non- commutative functions finds its origin in the 1973 work of J. L. Taylor [17], who studied arXiv:1804.01040v2 [math.FA] 7 Aug 2019 the functional calculus of noncommuting operators. Roughly speaking, noncommutative functions are to polynomials in noncommuting variables as holomorphic functions from complex analysis are to polynomials in commuting variables. -
A Generalization of Fueter's Monogenic Functions to Fine Domains
WSGP 25 Roman Lávička A generalization of Fueter’s monogenic functions to fine domains In: Martin Čadek (ed.): Proceedings of the 25th Winter School "Geometry and Physics". Circolo Matematico di Palermo, Palermo, 2006. Rendiconti del Circolo Matematico di Palermo, Serie II, Supplemento No. 79. pp. [129]--138. Persistent URL: http://dml.cz/dmlcz/701772 Terms of use: © Circolo Matematico di Palermo, 2006 Institute of Mathematics of the Academy of Sciences of the Czech Republic provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use. This paper has been digitized, optimized for electronic delivery and stamped with digital signature within the project DML-CZ: The Czech Digital Mathematics Library http://project.dml.cz RENDICONTI DEL CIRCOLO MATEMATICO DI PALERMO Serie II, Suppl. 79 (2006), pp. 129-138 A GENERALIZATION OF FUETER'S MONOGENIC FUNCTIONS TO FINE DOMAINS ROMAN LAVICKA ABSTRACT. The so-called quaternionic analysis is a theory analogous to complex analysis but the complex numbers are replaced by the non-commutative 4-dimensional field H of quaternions. A role of holomorphic functions in quaternionic analysis is played by monogenic functions. In this note we extend the notion of monogeneity to functions defined on fine domains in R4, i.e., domains in the fine topology of classical potential theory In fact, we generalize to some extent Fuglede's theory of finely holomorphic functions for dimension 4. 1. INTRODUCTION At the beginning of the twentieth century E. Borel tried to extend holomorphic functions to more general domains (no longer open) in such a way that the unique continuation property was preserved, see [3]. -
Chapter IX. Tensors and Multilinear Forms
Notes c F.P. Greenleaf and S. Marques 2006-2016 LAII-s16-quadforms.tex version 4/25/2016 Chapter IX. Tensors and Multilinear Forms. IX.1. Basic Definitions and Examples. 1.1. Definition. A bilinear form is a map B : V V C that is linear in each entry when the other entry is held fixed, so that × → B(αx, y) = αB(x, y)= B(x, αy) B(x + x ,y) = B(x ,y)+ B(x ,y) for all α F, x V, y V 1 2 1 2 ∈ k ∈ k ∈ B(x, y1 + y2) = B(x, y1)+ B(x, y2) (This of course forces B(x, y)=0 if either input is zero.) We say B is symmetric if B(x, y)= B(y, x), for all x, y and antisymmetric if B(x, y)= B(y, x). Similarly a multilinear form (aka a k-linear form , or a tensor− of rank k) is a map B : V V F that is linear in each entry when the other entries are held fixed. ×···×(0,k) → We write V = V ∗ . V ∗ for the set of k-linear forms. The reason we use V ∗ here rather than V , and⊗ the⊗ rationale for the “tensor product” notation, will gradually become clear. The set V ∗ V ∗ of bilinear forms on V becomes a vector space over F if we define ⊗ 1. Zero element: B(x, y) = 0 for all x, y V ; ∈ 2. Scalar multiple: (αB)(x, y)= αB(x, y), for α F and x, y V ; ∈ ∈ 3. Addition: (B + B )(x, y)= B (x, y)+ B (x, y), for x, y V . -
MATH 421/510 Assignment 3
MATH 421/510 Assignment 3 Suggested Solutions February 2018 1. Let H be a Hilbert space. (a) Prove the polarization identity: 1 hx; yi = (kx + yk2 − kx − yk2 + ikx + iyk2 − ikx − iyk2): 4 Proof. By direct calculation, kx + yk2 − kx − yk2 = 2hx; yi + 2hy; xi: Similarly, kx + iyk2 − kx − iyk2 = 2hx; iyi − 2hy; ixi = −2ihx; yi + 2ihy; xi: Addition gives kx + yk2−kx − yk2+ikx + iyk2−ikx − iyk2 = 2hx; yi+2hy; xi+2hx; yi−2hy; xi = 4hx; yi: (b) If there is another Hilbert space H0, a linear map from H to H0 is unitary if and only if it is isometric and surjective. Proof. We take the definition from the book that an operator is unitary if and only if it is invertible and hT x; T yi = hx; yi for all x; y 2 H. A unitary operator T is isometric and surjective by definition. On the other hand, assume it is isometric and surjective. We first show that T preserves the inner product: If the scalar field is C, by the polarization identity, 1 hT x; T yi = (kT x + T yk2 − kT x − T yk2 + ikT x + iT yk2 − ikT x − iT yk2) 4 1 = (kx + yk2 − kx − yk2 + ikx + iyk2 − ikx − iyk2) = hx; yi; 4 where in the second equation we used the linearity of T and the assumption that T is isometric. 1 If the scalar field is R, then we use the real version of the polarization identity: 1 hx; yi = (kx + yk2 − kx − yk2) 4 The remaining computation is similar to the complex case. -
A Bit About Hilbert Spaces
A Bit About Hilbert Spaces David Rosenberg New York University October 29, 2016 David Rosenberg (New York University ) DS-GA 1003 October 29, 2016 1 / 9 Inner Product Space (or “Pre-Hilbert” Spaces) An inner product space (over reals) is a vector space V and an inner product, which is a mapping h·,·i : V × V ! R that has the following properties 8x,y,z 2 V and a,b 2 R: Symmetry: hx,yi = hy,xi Linearity: hax + by,zi = ahx,zi + b hy,zi Postive-definiteness: hx,xi > 0 and hx,xi = 0 () x = 0. David Rosenberg (New York University ) DS-GA 1003 October 29, 2016 2 / 9 Norm from Inner Product For an inner product space, we define a norm as p kxk = hx,xi. Example Rd with standard Euclidean inner product is an inner product space: hx,yi := xT y 8x,y 2 Rd . Norm is p kxk = xT y. David Rosenberg (New York University ) DS-GA 1003 October 29, 2016 3 / 9 What norms can we get from an inner product? Theorem (Parallelogram Law) A norm kvk can be generated by an inner product on V iff 8x,y 2 V 2kxk2 + 2kyk2 = kx + yk2 + kx - yk2, and if it can, the inner product is given by the polarization identity jjxjj2 + jjyjj2 - jjx - yjj2 hx,yi = . 2 Example d `1 norm on R is NOT generated by an inner product. [Exercise] d Is `2 norm on R generated by an inner product? David Rosenberg (New York University ) DS-GA 1003 October 29, 2016 4 / 9 Pythagorean Theroem Definition Two vectors are orthogonal if hx,yi = 0. -
Algebra Homomorphisms and the Functional Calculus
Pacific Journal of Mathematics ALGEBRA HOMOMORPHISMS AND THE FUNCTIONAL CALCULUS MARK PHILLIP THOMAS Vol. 79, No. 1 May 1978 PACIFIC JOURNAL OF MATHEMATICS Vol. 79, No. 1, 1978 ALGEBRA HOMOMORPHISMS AND THE FUNCTIONAL CALCULUS MARC THOMAS Let b be a fixed element of a commutative Banach algebra with unit. Suppose σ(b) has at most countably many connected components. We give necessary and sufficient conditions for b to possess a discontinuous functional calculus. Throughout, let B be a commutative Banach algebra with unit 1 and let rad (B) denote the radical of B. Let b be a fixed element of B. Let έ? denote the LF space of germs of functions analytic in a neighborhood of σ(6). By a functional calculus for b we mean an algebra homomorphism θr from έ? to B such that θ\z) = b and θ\l) = 1. We do not require θr to be continuous. It is well-known that if θ' is continuous, then it is equal to θ, the usual functional calculus obtained by integration around contours i.e., θ{f) = -±τ \ f(t)(f - ]dt for f eέ?, Γ a contour about σ(b) [1, 1.4.8, Theorem 3]. In this paper we investigate the conditions under which a functional calculus & is necessarily continuous, i.e., when θ is the unique functional calculus. In the first section we work with sufficient conditions. If S is any closed subspace of B such that bS Q S, we let D(b, S) denote the largest algebraic subspace of S satisfying (6 — X)D(b, S) = D(b, S)f all λeC. -
The Weyl Functional Calculus F(4)
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOURNAL OF FUNCTIONAL ANALYSIS 4, 240-267 (1969) The Weyl Functional Calculus ROBERT F. V. ANDERSON Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 Communicated by Edward Nelson Received July, 1968 I. INTRODUCTION In this paper a functional calculus for an n-tuple of noncommuting self-adjoint operators on a Banach space will be proposed and examined. The von Neumann spectral theorem for self-adjoint operators on a Hilbert space leads to a functional calculus which assigns to a self- adjoint operator A and a real Borel-measurable function f of a real variable, another self-adjoint operatorf(A). This calculus generalizes in a natural way to an n-tuple of com- muting self-adjoint operators A = (A, ,..., A,), because their spectral families commute. In particular, if v is an eigenvector of A, ,..., A, with eigenvalues A, ,..., A, , respectively, and f a continuous function of n real variables, f(A 1 ,..., A,) u = f(b , . U 0. This principle fails when the operators don’t commute; instead we have the Uncertainty Principle, and so on. However, the Fourier inversion formula can also be used to define the von Neumann functional cakuius for a single operator: f(4) = (37F2 1 (Sf)(&) exp( -2 f A,) 4 E’ where This definition generalizes naturally to an n-tuple of operators, commutative or not, as follows: in the n-dimensional Fourier inversion 240 THE WEYL FUNCTIONAL CALCULUS 241 formula, the free variables x 1 ,..,, x, are replaced by self-adjoint operators A, ,..., A, . -
Hypercomplex Analysis Selected Topics
Hypercomplex Analysis Selected Topics (Habilitation Thesis) Roman Lávička Field: Mathematics — Mathematical Analysis Faculty of Mathematics and Physics Charles University in Prague August 2011 Contents 1 Introduction 5 2 Preliminaries of hypercomplex analysis 11 2.1 Clifford analysis . 11 2.1.1 Euclidean Clifford analysis . 14 2.1.2 Generalized Moisil-Théodoresco systems . 14 2.1.3 Hermitian Clifford analysis . 16 2.2 Quaternionic analysis . 17 3 Complete orthogonal Appell systems 19 3.1 Spherical harmonics . 19 3.1.1 Gelfand-Tsetlin bases for spin modules . 21 3.2 Clifford algebra valued spherical monogenics . 22 3.3 Spinor valued spherical monogenics . 24 3.3.1 The generalized Appell property in dimension 3 . 27 3.4 Hodge-de Rham systems . 29 3.4.1 The Riesz system in dimension 3 . 33 3.5 Hermitian monogenics . 35 4 Finely monogenic functions 39 4.1 Finely holomorphic functions . 39 4.2 Finely monogenic functions . 41 4.3 Finely differentiable monogenic functions . 42 4.4 Open problems . 45 List of reprinted papers 47 Bibliography 49 [L1] Reversible maps in the group of quaternionic Möbius trans- formations 55 [L2] A generalization of monogenic functions to fine domains 71 [L3] A remark on fine differentiability 83 [L4] Finely continuously differentiable functions 91 [L5] The Gelfand-Tsetlin bases for spherical monogenics in di- mension 3 105 3 [L6] Canonical bases for sl(2,C)-modules of spherical monogen- ics in dimension 3 135 [L7] Orthogonal basis for spherical monogenics by step two branch- ing 149 [L8] The Fischer Decomposition for the H-action and Its Appli- cations 177 [L9] The Gelfand-Tsetlin bases for Hodge-de Rham systems in Euclidean spaces 189 [L10] Gelfand-Tsetlin Bases of Orthogonal Polynomials in Her- mitean Clifford Analysis 211 4 Chapter 1 Introduction Without any doubt, complex analysis belongs to the most important areas of mathematics. -
Quaternionic Analysis
Quaternionic Analysis A. Sudbery [[email protected]] Department of Mathematics University of York Heslington, York YO1 5DD August 1977 Contents 1 Introduction 2 2 Preliminaries 5 2.1 The Algebra of Quaternions1 . 5 2.2 Quaternionic Differential Forms . 9 3 Regular Functions 11 4 Cauchy’s Theorem and the Integral Formula 17 5 Some Immediate Consequences 25 6 Construction of Regular Functions 26 7 Regular Functions and Conformal Mappings 30 8 Homogeneous Regular Functions 32 9 Regular Power Series 39 1 1 Introduction The richness of the theory of functions over the complex field makes it natural to look for a similar theory for the only other non-trivial real associative division algebra, namely the quaternions. Such a theory exists and is quite far-reaching, yet it seems to be little known. It was not developed until nearly a century after Hamilton’s discov- ery of quaternions. Hamilton himself [1] and his principal followers and expositors, Tait [2] and Joly [3], only developed the theory of functions of a quaternion variable as far as it could be taken by the general methods of the theory of functions of several real variables (the basic ideas of which appeared in their modern form for the first time in Hamilton’s work on quaternions). They did not delimit a special class of regular functions among quaternion-valued functions of a quaternion variable, analogous to the regular functions of a complex variable. This may have been because neither of the two fundamental definitions of a regular function of a complex variable has interesting consequences when adapted to quater- nions; one is too restrictive, the other not restrictive enough.