Quaternions and the Heuristic Role of Mathematical Structures in Physics
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Vectors and Beyond: Geometric Algebra and Its Philosophical
dialectica Vol. 63, N° 4 (2010), pp. 381–395 DOI: 10.1111/j.1746-8361.2009.01214.x Vectors and Beyond: Geometric Algebra and its Philosophical Significancedltc_1214 381..396 Peter Simons† In mathematics, like in everything else, it is the Darwinian struggle for life of ideas that leads to the survival of the concepts which we actually use, often believed to have come to us fully armed with goodness from some mysterious Platonic repository of truths. Simon Altmann 1. Introduction The purpose of this paper is to draw the attention of philosophers and others interested in the applicability of mathematics to a quiet revolution that is taking place around the theory of vectors and their application. It is not that new math- ematics is being invented – on the contrary, the basic concepts are over a century old – but rather that this old theory, having languished for many decades as a quaint backwater, is being rediscovered and properly applied for the first time. The philosophical importance of this quiet revolution is not that new applications for old mathematics are being found. That presumably happens much of the time. Rather it is that this new range of applications affords us a novel insight into the reasons why vectors and their mathematical kin find application at all in the real world. Indirectly, it tells us something general but interesting about the nature of the spatiotemporal world we all inhabit, and that is of philosophical significance. Quite what this significance amounts to is not yet clear. I should stress that nothing here is original: the history is quite accessible from several sources, and the mathematics is commonplace to those who know it. -
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. -
Recent Books on Vector Analysis. 463
1921.] RECENT BOOKS ON VECTOR ANALYSIS. 463 RECENT BOOKS ON VECTOR ANALYSIS. Einführung in die Vehtoranalysis, mit Anwendungen auf die mathematische Physik. By R. Gans. 4th edition. Leip zig and Berlin, Teubner, 1921. 118 pp. Elements of Vector Algebra. By L. Silberstein. New York, Longmans, Green, and Company, 1919. 42 pp. Vehtor analysis. By C. Runge. Vol. I. Die Vektoranalysis des dreidimensionalen Raumes. Leipzig, Hirzel, 1919. viii + 195 pp. Précis de Calcul géométrique. By R. Leveugle. Preface by H. Fehr. Paris, Gauthier-Villars, 1920. lvi + 400 pp. The first of these books is for the most part a reprint of the third edition, which has been reviewed in this BULLETIN (vol. 21 (1915), p. 360). Some small condensation of results has been accomplished by making deductions by purely vector methods. The author still clings to the rather common idea that a vector is a certain triple on a certain set of coordinate axes, so that his development is rather that of a shorthand than of a study of expressions which are not dependent upon axes. The second book is a quite brief exposition of the bare fundamentals of vector algebra, the notation being that of Heaviside, which Silberstein has used before. It is designed primarily to satisfy the needs of those studying geometric optics. However the author goes so far as to mention a linear vector operator and the notion of dyad. The exposition is very simple and could be followed by high school students who had had trigonometry. The third of the books mentioned is an elementary exposition of vectors from the standpoint of Grassmann. -
Geometric-Algebra Adaptive Filters Wilder B
1 Geometric-Algebra Adaptive Filters Wilder B. Lopes∗, Member, IEEE, Cassio G. Lopesy, Senior Member, IEEE Abstract—This paper presents a new class of adaptive filters, namely Geometric-Algebra Adaptive Filters (GAAFs). They are Faces generated by formulating the underlying minimization problem (a deterministic cost function) from the perspective of Geometric Algebra (GA), a comprehensive mathematical language well- Edges suited for the description of geometric transformations. Also, (directed lines) differently from standard adaptive-filtering theory, Geometric Calculus (the extension of GA to differential calculus) allows Fig. 1. A polyhedron (3-dimensional polytope) can be completely described for applying the same derivation techniques regardless of the by the geometric multiplication of its edges (oriented lines, vectors), which type (subalgebra) of the data, i.e., real, complex numbers, generate the faces and hypersurfaces (in the case of a general n-dimensional quaternions, etc. Relying on those characteristics (among others), polytope). a deterministic quadratic cost function is posed, from which the GAAFs are devised, providing a generalization of regular adaptive filters to subalgebras of GA. From the obtained update rule, it is shown how to recover the following least-mean squares perform calculus with hypercomplex quantities, i.e., elements (LMS) adaptive filter variants: real-entries LMS, complex LMS, that generalize complex numbers for higher dimensions [2]– and quaternions LMS. Mean-square analysis and simulations in [10]. a system identification scenario are provided, showing very good agreement for different levels of measurement noise. GA-based AFs were first introduced in [11], [12], where they were successfully employed to estimate the geometric Index Terms—Adaptive filtering, geometric algebra, quater- transformation (rotation and translation) that aligns a pair of nions. -
Josiah Willard Gibbs
GENERAL ARTICLE Josiah Willard Gibbs V Kumaran The foundations of classical thermodynamics, as taught in V Kumaran is a professor textbooks today, were laid down in nearly complete form by of chemical engineering at the Indian Institute of Josiah Willard Gibbs more than a century ago. This article Science, Bangalore. His presentsaportraitofGibbs,aquietandmodestmanwhowas research interests include responsible for some of the most important advances in the statistical mechanics and history of science. fluid mechanics. Thermodynamics, the science of the interconversion of heat and work, originated from the necessity of designing efficient engines in the late 18th and early 19th centuries. Engines are machines that convert heat energy obtained by combustion of coal, wood or other types of fuel into useful work for running trains, ships, etc. The efficiency of an engine is determined by the amount of useful work obtained for a given amount of heat input. There are two laws related to the efficiency of an engine. The first law of thermodynamics states that heat and work are inter-convertible, and it is not possible to obtain more work than the amount of heat input into the machine. The formulation of this law can be traced back to the work of Leibniz, Dalton, Joule, Clausius, and a host of other scientists in the late 17th and early 18th century. The more subtle second law of thermodynamics states that it is not possible to convert all heat into work; all engines have to ‘waste’ some of the heat input by transferring it to a heat sink. The second law also established the minimum amount of heat that has to be wasted based on the absolute temperatures of the heat source and the heat sink. -
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. -
Spacetime Algebra As a Powerful Tool for Electromagnetism
Spacetime algebra as a powerful tool for electromagnetism Justin Dressela,b, Konstantin Y. Bliokhb,c, Franco Norib,d aDepartment of Electrical and Computer Engineering, University of California, Riverside, CA 92521, USA bCenter for Emergent Matter Science (CEMS), RIKEN, Wako-shi, Saitama, 351-0198, Japan cInterdisciplinary Theoretical Science Research Group (iTHES), RIKEN, Wako-shi, Saitama, 351-0198, Japan dPhysics Department, University of Michigan, Ann Arbor, MI 48109-1040, USA Abstract We present a comprehensive introduction to spacetime algebra that emphasizes its prac- ticality and power as a tool for the study of electromagnetism. We carefully develop this natural (Clifford) algebra of the Minkowski spacetime geometry, with a particular focus on its intrinsic (and often overlooked) complex structure. Notably, the scalar imaginary that appears throughout the electromagnetic theory properly corresponds to the unit 4-volume of spacetime itself, and thus has physical meaning. The electric and magnetic fields are combined into a single complex and frame-independent bivector field, which generalizes the Riemann-Silberstein complex vector that has recently resurfaced in stud- ies of the single photon wavefunction. The complex structure of spacetime also underpins the emergence of electromagnetic waves, circular polarizations, the normal variables for canonical quantization, the distinction between electric and magnetic charge, complex spinor representations of Lorentz transformations, and the dual (electric-magnetic field exchange) symmetry that produces helicity conservation in vacuum fields. This latter symmetry manifests as an arbitrary global phase of the complex field, motivating the use of a complex vector potential, along with an associated transverse and gauge-invariant bivector potential, as well as complex (bivector and scalar) Hertz potentials. -
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]. -
Convergence of Very Weak Solutions to A-Dirac Equations in Clifford Analysis Yueming Lu* and Hui Bi
Lu and Bi Advances in Difference Equations (2015)2015:219 DOI 10.1186/s13662-015-0555-y R E S E A R C H Open Access Convergence of very weak solutions to A-Dirac equations in Clifford analysis Yueming Lu* and Hui Bi *Correspondence: [email protected] Abstract Department of Applied Mathematics, Harbin University of This paper is concerned with the very weak solutions to A-Dirac equations Science and Technology, Xue Fu DA(x, Du) = 0 with Dirichlet boundary data. By means of the decomposition in a Road, Harbin, 150080, P.R. China Clifford-valued function space, convergence of the very weak solutions to A-Dirac equations is obtained in Clifford analysis. MSC: Primary 35J25; secondary 31A35 Keywords: Dirac equations; very weak solutions; decomposition; convergence 1 Introduction In this paper, we shall consider a nonlinear mapping A : × Cn → Cn such that (N) x → A(x, ξ) is measurable for all ξ ∈ Cn, (N) ξ → A(x, ξ) is continuous for a.e. x ∈ , p– (N) |A(x, ξ)–A(x, ζ )|≤b|ξ – ζ | , p– (N) (A(x, ξ)–A(x, ζ ), ξ – ζ ) ≥ a|ξ – ζ | (|ξ| + |ζ |) , where < a ≤ b < ∞. ,p The exponent p > will determine the natural Sobolev class, denoted by W (, Cn), in which to consider the A-Dirac equations DA(x, Du)=. () ∈ ,p We call u Wloc (, Cn) a weak solution to ()if A(x, Du)Dϕ dx = () ∈ ,p for each ϕ Wloc (, Cn) with compact support. { } ∈ ,s Definition . For s > max , p– , a Clifford-valued function u Wloc(, Cn) is called a s , s–p+ very weak solution of equation ()ifitsatisfies() for all ϕ ∈ W (, Cn)withcompact support. -
Geometric Intuition
thesis Geometric intuition Richard Feynman once made a statement represent the consequences of rotations in to the effect that the history of mathematics One day, perhaps, 3-space faithfully. is largely the history of improvements in Clifford’s algebra will It is also completely natural not only to add notation — the progressive invention of or subtract multi-vectors, but to multiply or ever more efficient means for describing be taught routinely to divide them — something not possible with logical relationships and making them students in place of ordinary vectors. The result is always another easier to grasp and manipulate. The Romans multi-vector. In the particular case of a were stymied in their efforts to advance vector analysis. multi-vector that is an ordinary vector V, the mathematics by the clumsiness of Roman inverse turns out to be V/v2, where v2 is the numerals for arithmetic calculations. After to j, that is, eiej = −ejei. Another way to put squared magnitude of V. It’s a vector in the Euclid, geometry stagnated for nearly it is that multiplication between parallel same direction but of reciprocal magnitude. 2,000 years until Descartes invented a new vectors is commutative, whereas it is anti- Write out the components for the notation with his coordinates, which made commutative for orthogonal vectors. product of two vectors U and V, and you it easy to represent points and lines in These rules are enough to define find the resultUV = U•V + ĬU × V, with • space algebraically. the algebra, and it’s then easy to work and × being the usual dot and cross product Feynman himself, of course, introduced out various implications.