Quaternion Zernike Spherical Polynomials
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Laplacian Eigenmodes for the Three Sphere
Laplacian eigenmodes for the three sphere M. Lachi`eze-Rey Service d’Astrophysique, C. E. Saclay 91191 Gif sur Yvette cedex, France October 10, 2018 Abstract The vector space k of the eigenfunctions of the Laplacian on the 3 V three sphere S , corresponding to the same eigenvalue λk = k (k + 2 − k 2), has dimension (k + 1) . After recalling the standard bases for , V we introduce a new basis B3, constructed from the reductions to S3 of peculiar homogeneous harmonic polynomia involving null vectors. We give the transformation laws between this basis and the usual hyper-spherical harmonics. Thanks to the quaternionic representations of S3 and SO(4), we are able to write explicitely the transformation properties of B3, and thus of any eigenmode, under an arbitrary rotation of SO(4). This offers the possibility to select those functions of k which remain invariant under V a chosen rotation of SO(4). When the rotation is an holonomy transfor- mation of a spherical space S3/Γ, this gives a method to calculates the eigenmodes of S3/Γ, which remains an open probleme in general. We illustrate our method by (re-)deriving the eigenmodes of lens and prism space. In a forthcoming paper, we present the derivation for dodecahedral space. 1 Introduction 3 The eigenvalues of the Laplacian ∆ of S are of the form λk = k (k + 2), + − k where k IN . For a given value of k, they span the eigenspace of ∈ 2 2 V dimension (k +1) . This vector space constitutes the (k +1) dimensional irreductible representation of SO(4), the isometry group of S3. -
A User's Guide to Spherical Harmonics
A User's Guide to Spherical Harmonics Martin J. Mohlenkamp∗ Version: October 18, 2016 This pamphlet is intended for the scientist who is considering using Spherical Harmonics for some appli- cation. It is designed to introduce the Spherical Harmonics from a theoretical perspective and then discuss those practical issues necessary for their use in applications. I expect great variability in the backgrounds of the readers. In order to be informative to those who know less, without insulting those who know more, I have adopted the strategy \State even basic facts, but briefly." My dissertation work was a fast transform for Spherical Harmonics [6]. After its publication, I started receiving questions about Spherical Harmonics in general, rather than about my work specifically. This pamphlet aims to answer such general questions. If you find mistakes, or feel that important material is unclear or missing, please inform me. 1 A Theory of Spherical Harmonics In this section we give a development of Spherical Harmonics. There are other developments from other perspectives. The one chosen here has the benefit of being very concrete. 1.1 Mathematical Preliminaries We define the L2 inner product of two functions to be Z hf; gi = f(s)¯g(s)ds (1) R 2π whereg ¯ denotes complex conjugation and the integral is over the space of interest, for example 0 dθ on the R 2π R π 2 p 2 circle or 0 0 sin φdφdθ on the sphere. We define the L norm by jjfjj = hf; fi. The space L consists of all functions such that jjfjj < 1. -
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]. -
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. -
Wavefront Parameters Recovering by Using Point Spread Function
Wavefront Parameters Recovering by Using Point Spread Function Olga Kalinkina[0000-0002-2522-8496], Tatyana Ivanova[0000-0001-8564-243X] and Julia Kushtyseva[0000-0003-1101-6641] ITMO University, 197101 Kronverksky pr. 49, bldg. A, Saint-Petersburg, Russia [email protected], [email protected], [email protected] Abstract. At various stages of the life cycle of optical systems, one of the most important tasks is quality of optical system elements assembly and alignment control. The different wavefront reconstruction algorithms have already proven themselves to be excellent assistants in this. Every year increasing technical ca- pacities opens access to the new algorithms and the possibilities of their appli- cation. The paper considers an iterative algorithm for recovering the wavefront parameters. The parameters of the wavefront are the Zernike polynomials coef- ficients. The method involves using a previously known point spread function to recover Zernike polynomials coefficients. This work is devoted to the re- search of the defocusing influence on the convergence of the algorithm. The method is designed to control the manufacturing quality of optical systems by point image. A substantial part of the optical systems can use this method with- out additional equipment. It can help automate the controlled optical system ad- justment process. Keywords: Point Spread Function, Wavefront, Zernike Polynomials, Optimiza- tion, Aberrations. 1 Introduction At the stage of manufacturing optical systems, one of the most important tasks is quality of optical system elements assembly and alignment control. There are various methods for solving this problem, for example, interference methods. However, in some cases, one of which is the alignment of the telescope during its operation, other control methods are required [1, 2], for example control by point image (point spread function) or the image of another known object. -
Spherical-Harmonic Tensors Jm
Spherical-harmonic tensors Francisco Gonzalez Ledesma1 and Matthew Mewes2 1Department of Physics, Florida State University, Tallahassee, Florida 32306, USA 2Physics Department, California Polytechnic State University, San Luis Obispo, California 93407, USA The connection between spherical harmonics and symmetric tensors is explored. For each spher- ical harmonic, a corresponding traceless symmetric tensor is constructed. These tensors are then extended to include nonzero traces, providing an orthonormal angular-momentum eigenbasis for symmetric tensors of any rank. The relationship between the spherical-harmonic tensors and spin- weighted spherical harmonics is derived. The results facilitate the spherical-harmonic expansion of a large class of tensor-valued functions. Several simple illustrative examples are discussed, and the formalism is used to derive the leading-order effects of violations of Lorentz invariance in Newtonian gravity. I. INTRODUCTION Spherical harmonics Yjm provide an orthonormal basis for scalar functions on the 2-sphere and have numerous applications in physics and related fields. While they are commonly written in terms of the spherical-coordinate polar angle θ and azimuthal angle φ, spherical harmonics can be expressed in terms of cartesian coordinates, which is convenient in certain applications. The cartesian versions involve rank-j symmetric trace-free tensors jm [1–5]. These form a basis for traceless tensors and provide a link between functions on the sphere and symmetricY traceless tensors in three dimensions. This work builds on the above understanding in several ways. We first develop a new method for calculating the scalar spherical harmonics Yjm in terms of components of the direction unit vector n = sin θ cos φ ex + sin θ sin φ ey + cos θ ez . -
Wavefront Aberrations
11 Wavefront Aberrations Mirko Resan, Miroslav Vukosavljević and Milorad Milivojević Eye Clinic, Military Medical Academy, Belgrade, Serbia 1. Introduction The eye is an optical system having several optical elements that focus light rays representing images onto the retina. Imperfections in the components and materials in the eye may cause light rays to deviate from the desired path. These deviations, referred to as optical or wavefront aberrations, result in blurred images and decreased visual performance (1). Wavefront aberrations are optical imperfections of the eye that prevent light from focusing perfectly on the retina, resulting in defects in the visual image. There are two kinds of aberrations: 1. Lower order aberrations (0, 1st and 2nd order) 2. Higher order aberrations (3rd, 4th, … order) Lower order aberrations are another way to describe refractive errors: myopia, hyperopia and astigmatism, correctible with glasses, contact lenses or refractive surgery. Lower order aberrations is a term used in wavefront technology to describe second-order Zernike polynomials. Second-order Zernike terms represent the conventional aberrations defocus (myopia, hyperopia and astigmatism). Lower order aberrations make up about 85 per cent of all aberrations in the eye. Higher order aberrations are optical imperfections which cannot be corrected by any reliable means of present technology. All eyes have at least some degree of higher order aberrations. These aberrations are now more recognized because technology has been developed to diagnose them properly. Wavefront aberrometer is actually used to diagnose and measure higher order aberrations. Higher order aberrations is a term used to describe Zernike aberrations above second-order. Third-order Zernike terms are coma and trefoil. -
Electrodynamic Spherical Harmonic: Defi- Nition and Properties
Electrodynamic spherical harmonic A V Novitsky Department of Theoretical Physics, Belarusian State University, Nezavisimosti Avenue 4, 220050 Minsk, Belarus [email protected] Abstract Electrodynamic spherical harmonic is a second rank tensor in three- dimensional space. It allows to separate the radial and angle variables in vector solutions of Maxwell’s equations. Using the orthonormaliza- tion for electrodynamic spherical harmonic, a boundary problem on a sphere can be easily solved. 1 Introduction In this paper we introduce new function — electrodynamic spherical har- monic. It is represented as a second rank tensor in three-dimensional space. But the function differs from tensor spherical harmonic [1–5]. By its defini- tion the electrodynamic spherical function possesses a number of properties of usual scalar and vector harmonics and includes them as component parts. Why electrodynamic spherical harmonic? The word “electrodynamic” im- arXiv:0803.4093v1 [math-ph] 28 Mar 2008 plies that the function is applied for solution of vector field problems. We use it in electrodynamics, however one can apply the function for description of spin fields in quantum field theory. Electrodynamic spherical harmonic is not a simple designation of the well- known functions. It satisfies the Maxwell equations and describes the angular dependence of vector fields. The introduced function separates the variables (radial coordinate and angles) in the fields. Moreover, the notation of the fields in terms of electrodynamic spherical harmonic noticeably simplifies the solution of a boundary problem on spherical interface. Just application of 1 the ortonormalization condition allows to find the coefficients of spherical function expansion (e.g. scattering field amplitudes). -
Computation of Real-Valued Basis Functions Which Transform As Irreducible Representations of the Polyhedral Groups
COMPUTATION OF REAL-VALUED BASIS FUNCTIONS WHICH TRANSFORM AS IRREDUCIBLE REPRESENTATIONS OF THE POLYHEDRAL GROUPS NAN XU∗ AND PETER C. DOERSCHUKy Abstract. Basis functions which are invariant under the operations of a rotational point group G are able to describe any 3-D object which exhibits the rotational point group symmetry. However, in order to characterize the spatial statistics of an ensemble of objects in which each object is different but the statistics exhibit the symmetry, a complete set of basis functions is required. In particular, for each irreducible representation (irrep) of G, it is necessary to include basis functions that transform according to that irrep. This complete set of basis functions is a basis for square- integrable functions on the surface of the sphere in 3-D. Because the objects are real-valued, it is convenient to have real-valued basis functions. In this paper the existence of such real-valued bases is proven and an algorithm for their computation is provided for the icosahedral I and the octahedral O symmetries. Furthermore, it is proven that such a real-valued basis does not exist for the tetrahedral T symmetry because some irreps of T are essentially complex. The importance of these basis functions to computations in single-particle cryo electron microscopy is described. Key words. polyhedral groups, real-valued matrix irreducible representations, numerical com- putation of similarity transformations, basis functions that transform as a row of an irreducible representation of a rotation group, Classical groups (02.20.Hj), Special functions (02.30.Gp). AMS subject classifications. 2604, 2004, 57S17, 57S25 1. -
Spherical Harmonics and Homogeneous Har- Monic Polynomials
SPHERICAL HARMONICS AND HOMOGENEOUS HAR- MONIC POLYNOMIALS 1. The spherical Laplacean. Denote by S ½ R3 the unit sphere. For a function f(!) de¯ned on S, let f~ denote its extension to an open neighborhood N of S, constant along normals to S (i.e., constant along rays from the origin). We say f 2 C2(S) if f~ is a C2 function in N , and for such functions de¯ne a di®erential operator ¢S by: ¢Sf := ¢f;~ where ¢ on the right-hand side is the usual Laplace operator in R3. With a little work (omitted here) one may derive the expression for ¢ in polar coordinates (r; !) in R2 (r > 0;! 2 S): 2 1 ¢u = u + u + ¢ u: rr r r r2 S (Here ¢Su(r; !) is the operator ¢S acting on the function u(r; :) in S, for each ¯xed r.) A homogeneous polynomial of degree n ¸ 0 in three variables (x; y; z) is a linear combination of `monomials of degree n': d1 d2 d3 x y z ; di ¸ 0; d1 + d2 + d3 = n: This de¯nes a vector space (over R) denoted Pn. A simple combinatorial argument (involving balls and separators, as most of them do), seen in class, yields the dimension: 1 d := dim(P ) = (n + 1)(n + 2): n n 2 Writing a polynomial p 2 Pn in polar coordinates, we necessarily have: n p(r; !) = r f(!); f = pjS; where f is the restriction of p to S. This is an injective linear map p 7! f, but the functions on S so obtained are rather special (a dn-dimensional subspace of the in¯nite-dimensional space C(S) of continuous functions-let's call it Pn(S)) We are interested in the subspace Hn ½ Pn of homogeneous harmonic polynomials of degree n (¢p = 0). -
Quaternion Derivatives: the GHR Calculus
Technical Report, TR-Quat-GHR-Calc-08-01-14/1 Imperial College London Submitted exclusively to the London Mathematical Society doi:10.1112/0000/000000 Quaternion Derivatives: The GHR Calculus D. P. Xu, C. Jahanchahi, C. C. Took and D. P. Mandic Abstract Quaternion derivatives in the mathematical literature are typically defined only for analytic (regular) functions. However, in engineering problems, functions of interest are often real-valued and thus not analytic, such as the standard cost function. The HR calculus is a convenient way to calculate formal derivatives of both analytic and non-analytic functions of quaternion variables, however, both the HR and other functional calculus in quaternion analysis have encountered an essential technical obstacle, that is, the traditional product rule is invalid due to the non- commutativity of the quaternion algebra. To address this issue, a generalized form of the HR derivative is proposed based on a general orthogonal system. The so introduced generalization, called the generalized HR (GHR) calculus, encompasses not just the left- and right-hand versions of quaternion derivative, but also enables solutions to some long standing problems, such as the novel product rule, the chain rule, the mean-valued theorem and Taylor’s theorem. At the core of the proposed approach is the quaternion rotation, which can naturally be applied to other functional calculi in non-commutative settings. Examples on using the GHR calculus in adaptive signal processing support the analysis. 1. Introduction. Quaternions have become a standard in physics [40], computer graphics [1], and have also been successfully applied to many signal processing and communications problems [9, 10, 11, 20, 37, 38, 39, 43, 45, 46, 47].