Unit Generalized Quaternions in Spatial Kinematics

Size: px
Start display at page:

Download "Unit Generalized Quaternions in Spatial Kinematics"

Transcription

1 Vol (07) - Pages 7-4 Unit Generalized Quaternions in Spatial Kinematics Mehdi Jafari, echnical Vocational University, Urmia, Iran, mj_msc@yahoo.com Abstract- After a review of some fundamental properties of the generalized uaternions, we apply a unit generalized uaternion to rotation in the -dimensional space. Also, the angular velocity of this motion is obtained. Keywords: Generalized uaternion, uasi-orthogonal matrix, rotation. I. INRODUCION he number system of uaternions is an extended one of the complex numbers. hey were first described by W.R. Hamilton in 84 applied to mechanics in three-dimensional space. he algebra of uaternions is often denoted by 0 H. It can also be given by the Clifford algebra classifications Cl (R) Cl (R). he algebra H holds a special place in 0,,0 analysis since, according to the Frobenius theorem, it is one of the only two finite-dimensional division rings containing the real numbers as a proper subring; the other being the complex numbers. Unit uaternions provide a convenient mathematical notation for representing orientations rotations of objects in the three dimensional space. he unit uaternions can therefore be thought of as a choice of a group structure on the -sphere that gives the group Spin (), which is isomorphic to SU() also to the universal cover of SO(). Kula Yayli [] showed that a unit split 4 uaternion determines a rotation in semi-uclidean space.in [], it is demonstrated how unit timelike split uaternions are used to perform rotations in the Minkowski -space.rotations in a complex -dimensional space are considered in [9] applied to the treatment of the Lorentz transformation in special relativity. A brief introduction of the generalized uaternions is provided in [4]. Recently, the work was done on the generalized uaternions by Jafari [5] there is given some of their algebraic properties. In this paper, we briefly recall some fundamental properties of the generalized uaternions, show that the set of all unit generalized uaternions with the group operation of uaternion multiplication is a Lie group of -dimension. A similar relation to the relationship between uaternions rotations in the uclidean space exists between generalized uaternions rotations in the -space. We demonstrate how a unit generalized uaternion is used to represent a rotation of a vector in -dimensional space. he angular velocity of this motion is obtained. Finally, we give some examples for more clarification. A. Reel split uaternions A real uaternion is defined as a ai ajak where a, a, a a are real numbers, i, j, k of may be interpreted as the four basic vectors of Cartesian set of coordinates; they satisfy the non-commutative multiplication rules i j k i jk, ij k ji, jk = i = kj, 7

2 Vol (07) - Pages 7-4 ki = j = ik. A uaternion may be defined as a pair ( S, V ), where S a R is scalar part V ai a j a k R is the vector part of. he uaternion product of two uaternions p is defined as p S S V, V S V S V V V where '', '' '' '' are the inner vector products in sum of the suares of its components: p p p p p N a a a a N R,respectively. he norm of a uaternion is given by the, R. It can also be obtained by multiplying the uaternion by its conjugate ( S V ), in either order since a uaternion of conjugated commute: N. very non-zero uaternion has a multiplicative inverse given by its conjugate divided by its norm: / N. he uaternion algebra H is a normed division algebra, meaning that for any two uaternions p, N N N, the p p norm of every non-zero uaternion is non-zero ( positive) therefore the multiplicative inverse exists for any nonzero uaternion. Of course, as is well known, multiplication of uaternions is not commutative, so that in general for any two uaternions p, p p. his can have subtle ramifications, for example: ( p) pp p. For detailed information about real uaternions, we refer the reader to [5]. he algebra H' of split uaternions is defined as the four-dimensional vector space over R having a basis {, i, j, k } with the following properties; i, j k, ij k ji, jk = i = kj, ki = j = ik. he uaternion product of two split uaternions p is defined as where '', l '' p S S V, V S V S V V V p p p p p l l '' '' are Lorentzian inner vector products, respectively. It is clear that H H are associative l non-commutative algebras []. Definition. Let u ( u, u, u), v ( v, v, v) R. If, R, the generalized inner product of u v is defined by g( uv, ) uv uv uv, It could be written 0 0 g( uv, ) u 0 0 vu Gv. 0 0 Also, if 0, 0, g( uv, ) is called the generalized Lorentzian inner product. We put (R, g(,)), he vector product in is defined by i j k uv u u u v v v ( uv uv ) i( uv uv ) j( uv uv ) k, where i j k, jk i, ki j. 8

3 Vol (07) - Pages 7-4 Special cases:. If, then is an uclidean -space.. If,, then is a Minkowski -space []. Proposition. For, R, the inner vector products satisfy the following properties;. uv vu.. g( uv, w) g( vw, u) g( uw, v).. u( vw) g( uw) v g( u, v) w. Definition. A matrix A is called a uasi-orthogonal matrix if A A det A where he set Q() of all uasi-orthogonal matrices with the operation of matrix multiplication constitutes, R 0. a group, called rotation group, in the -space. Definition. Consider rotational motion of a rigid body, i.e., a rigid body motion leaving one point fixed. Let r (0) be the position of a point in the body at t 0, rt () its position at time t, Rt () the rotation operator which carries r(0) to rt () rt () Rt () r(0). R() t thus traces the orientation of the rigid body in configuration space SO(). he velocity of the point is r Rr (0) RR ror r r, RR. he operator is the angular velocity operator [5]. B. Generalized uaternions algebra A generalized uaternion is an expression of form a0 ai a jak where a0, a, a a are real numbers i, j, k are uaternionic units which satisfy the eualities i, j, k, ij k ji, jk = i = kj, ki = j = ik,, R. he set of all generalized uaternions are denoted by H. A generalized uaternion is a sum of a scalar a vector, called scalar part,, S a vector part V 0 ai a jak. herefore, H is form a 4-dimensional real space which contains the real axis R a -dimensional real linear space, so that, H R. If ( a0, V ) p ( b0, V p ) are two uaternions, their sum is defined as p ( a0 b0, V Vp) their product (non-commutative) as p ( a0b0 g( V, Vp), a0v p b0v VpV), here "g(,)" " " are the inner vector products in, respectively. he conjugate uaternion of is defined as ( a0, V ) the length or norm as N a a a a R. 9

4 Vol (07) - Pages 7-4 Note that N N N. very non-zero uaternion has a multiplicative inverse given by its conjugate divided by its p p norm: / N. he generalized uaternion with a norm of one, N, is a unit generalized uaternion. If a generalized uaternion is looked at as a four-dimensional vector, the generalized uaternion product can be described by a matrix-vector product as a0 a a ab0 a a0 a a b p. a a a0 a b a a a a0 b II. ROAION OPRAORS IN H In uclidean -space, there are a lot of methods used to represent rotations like orthogonal matrices, uler angles uaternions. Quaternionic representation is the most useful one for the purpose. If we compare to orthogonal matrices, there are some constraints as each column of an orthogonal matrix must be unit vector they must be perpendicular to each other. hese constraints make it difficult to construct an orthogonal matrix using nine numbers. But we can construct easily a rotation orthogonal matrix using a unit uaternion. hat is, only four numbers are enough to represent a rotation such that there is only one constraint which is that the norm of the uaternion must be eual to one. Here, we show that every unit generalized uaternion represents a rotation in the -space. Let a Lie group G be given, to its every element the mapping C : G G, x x for all x G is assigned. he mapping C is a differentiable isomorphism (inner automorphism) of the group G, the differential of C at the point e, i.e. ( dc) e ad maps G () e into G (). e hen, the mapping ad is called the adjoint representation of the group G [8]. If we associate the generalized uaternion x (0, x) with the three-dimensional vector x define the operation, with the unit generalized uaternion, as ad( x) x ' x x, () then this transformation, from x to x ', represents a rotation in -space. he resulting uaternion x ' is a vectorial uaternion with the same length as x, since N N N N N N N x ' x x. x heorem. For any unit generalized uaternion, the matrix corresponding to map ad is Special cases: a0 a a a ( aa aa 0 ) ( aa aa 0 ) ad ( aa a0a) a0 a a a ( aa a0a). ( aa aa 0 ) ( aa 0 aa ) a0 a a a ) For the case, we get ad for real uaternion H, denote it by M. M is a orthogonal matrix, then the map ad corresponds to a rotation in. If we take the rotation axis to be S ( s, s, s), then we have where S is a skew-symmetric matrix, M I S S sin ( cos ), 0 s s S s 0 s. s s 0 40

5 Vol (07) - Pages 7-4 ) For the case,, we get ad for split uaternion H', denote it by N. N is a semi-orthogonal matrix, then the map ad corresponds to a rotation in -Minkowski space C ( c, c, c ), then we have be where C is a skew-symmetric matrix, i.e. N I C C sinh ( cosh ), C C. If we take the rotation axis to 0 c c 0 0 C c 0 c, 0 0 c c heorem 4. For every G, R, ad is a uasi-orthogonal matrix. []. heorem 5. Let be a unit generalized uaternion, R, then the matrix ad can be written as ad I sins ( cos )S, where cos a0, si sin ai, i,,. 0 s s S s 0 s s s 0 is a skew-symmetric matrix, i.e., S S. Proof: very unit generalized uaternion a0ai a jak can be written in polar form cos S sin, then the matrix ad can be written as cos ( s s s) sin ( ss sin scos sin ) ( ss sin scos sin ) ad ( sssin scos sin ) cos ( s s s)sin ( sssin scos sin ) ( ss sin scos sin ) ( ss sin scos sin ) cos ( sss)sin ( s s s )sin sssin ssin sssin ssin I4 sssin ssin ( s s s )sin sssin ssin ss sin ssin ss sin ssin ( sss)sin with used of sin cos s s s, we have 0 s s s s ss ss M Isin s 0 s ( cos ) ss s s ss, s s 0 ss ss s s so, proof is complete. xample. Let x such that x i 0 j k. We want to rotate point x about the unit vector s i j at an angle of. Using theorem, we find a unit generalized uaternion that will accomplish such a rotation. 4

6 Vol (07) - Pages 7-4 cos Ssin / / cos,,0 sin i j. Now we have defined a unit generalized uaternion such that x x' where x ' vector s at an angle of. Now that is known, the operator ad is applied. is the point x rotated about x' x ( i j)(i 0 j k) ( i j) (,, ). Corollary: Let cos S sin be a unit generalized uaternion. If, R, the linear map ( ) represents a rotation of the original vector by an angle around the axis S in -space map represents a rotation in Lorentzian manner (boost).. Also, if 0, 0, the above III. ANGULAR VLOCIY OF H MOION Suppose that the orientation of a body is represented as a uaternion rotation so that x ' x where x is a vector in fixed space coordinates x ' is a vector in body coordinates. By differentiational of the rotational transformation () as in x' x x, expressing it in terms of fixed coordinates gives x' ( ) x ( ) x ( ) ( ), x' x'. he scalar part of happens to be zero because is a unit generalized uaternion, so applying this into the above gives ( ), x' x' x'. which is just the antisymmetric product of x '. So the velocity x ' has a zero scalar part a vectorial part, x ' where (0, ). We conclude that the angular velocity w expressed in the space fixed reference in terms of the uler parameters time derivatives as follows or w 4

7 Vol (07) - Pages w a0 a a a a 0 a a a a a a a a0 a a a a a a a 0. 0 Special Case: If, then w is the angular velocity for real uaternion rotation [7]. ACKNOWLDGMN he author is very grateful to referees for the useful suggestions remarks for the revised version. RFRNCS [] 4 L. Kula., Y. Yayli, Split uaternions rotations in semi-uclidean space, Journal of Korean Math. Soc., vol. 44(6).-7, 007. [] M. Ozdemir, A.A. rgin, Rotations with unit timelike uaternions in Minkowski -space, Journal of geometry physics 56, pp [] J.P. Ward, Quaternions Cayley numbers algebra applications, Kluwer Academic Publishers, London, 997, pp. 5. [4] H. Pottman J. Wallner, Computational line geometry, Springer-Verlag Berlin Heidelberg New York, 000, pp. 50. [5] M. Jafari, Generalized Hamilton operators Lie groups, Ph.D. thesis, Ankara University, Ankara, urkey, 0. [6] M. Jafari Y. Yayli, Rotation in four dimensions via generalized Hamilton operators, Kuwait journal of science, vol. 40() pp , 0. [7] W. B. Heard, Rigid body mechanics, Alexria, Wiley-vch Verlag GmbH, 006. [8] A. Karger J. Novak, Space kinematics Lie groups. Gordon Breach science publishers, Now York,

GENERALIZED QUATERNIONS AND ROTATION IN 3-SPACE E 3 αβ

GENERALIZED QUATERNIONS AND ROTATION IN 3-SPACE E 3 αβ TWMS J. Pure Appl. Math. V.6, N., 015, pp.4-3 GENERALIZED QUATERNIONS AND ROTATION IN 3-SPACE E 3 αβ MEHDI JAFARI 1, YUSUF YAYLI Abstract. The paper explains how a unit generalized quaternion is used to

More information

DUAL SPLIT QUATERNIONS AND SCREW MOTION IN MINKOWSKI 3-SPACE * L. KULA AND Y. YAYLI **

DUAL SPLIT QUATERNIONS AND SCREW MOTION IN MINKOWSKI 3-SPACE * L. KULA AND Y. YAYLI ** Iranian Journal of Science & echnology, ransaction A, Vol, No A Printed in he Islamic Republic of Iran, 6 Shiraz University DUAL SPLI UAERNIONS AND SCREW MOION IN MINKOWSKI -SPACE L KULA AND Y YAYLI Ankara

More information

Lie Algebra of Unit Tangent Bundle in Minkowski 3-Space

Lie Algebra of Unit Tangent Bundle in Minkowski 3-Space INTERNATIONAL ELECTRONIC JOURNAL OF GEOMETRY VOLUME 12 NO. 1 PAGE 1 (2019) Lie Algebra of Unit Tangent Bundle in Minkowski 3-Space Murat Bekar (Communicated by Levent Kula ) ABSTRACT In this paper, a one-to-one

More information

SPLIT QUATERNIONS and CANAL SURFACES. in MINKOWSKI 3-SPACE

SPLIT QUATERNIONS and CANAL SURFACES. in MINKOWSKI 3-SPACE INTERNATIONAL JOURNAL OF GEOMETRY Vol. 5 (016, No., 51-61 SPLIT QUATERNIONS and CANAL SURFACES in MINKOWSKI 3-SPACE SELAHATTIN ASLAN and YUSUF YAYLI Abstract. A canal surface is the envelope of a one-parameter

More information

GENERALIZED QUATERNIONS AND THEIR ALGEBRAIC PROPERTIES

GENERALIZED QUATERNIONS AND THEIR ALGEBRAIC PROPERTIES C om m un.fac.sci.u niv.a nk.series A 1 Volum e 64, N um b er 1, Pages 15 27 (2015) D O I: 10.1501/C om m ua1_ 0000000724 ISSN 1303 5991 GENERALIZED QUATERNIONS AND THEIR ALGEBRAIC PROPERTIES MEHDI JAFARI

More information

ANoteontheRepresentationandDefinitionofDualSplitSemiQuaternionsAlgebra

ANoteontheRepresentationandDefinitionofDualSplitSemiQuaternionsAlgebra Global Journal of Science Frontier Research: F Mathematics Decision Sciences Volume 7 Iue 8 Version.0 Year 07 Type : Double Blind Peer Reviewed International Research Journal Publisher: Global Journals

More information

SPLIT QUATERNIONS AND SPACELIKE CONSTANT SLOPE SURFACES IN MINKOWSKI 3-SPACE

SPLIT QUATERNIONS AND SPACELIKE CONSTANT SLOPE SURFACES IN MINKOWSKI 3-SPACE INTERNATIONAL JOURNAL OF GEOMETRY Vol. (13), No. 1, 3-33 SPLIT QUATERNIONS AND SPACELIKE CONSTANT SLOPE SURFACES IN MINKOWSKI 3-SPACE MURAT BABAARSLAN AND YUSUF YAYLI Abstract. A spacelike surface in the

More information

Some Geometric Applications of Timelike Quaternions

Some Geometric Applications of Timelike Quaternions Some Geometric Applications of Timelike Quaternions M. Özdemir, A.A. Ergin Department of Mathematics, Akdeniz University, 07058-Antalya, Turkey mozdemir@akdeniz.edu.tr, aaergin@akdeniz.edu.tr Abstract

More information

Clifford Algebras and Spin Groups

Clifford Algebras and Spin Groups Clifford Algebras and Spin Groups Math G4344, Spring 2012 We ll now turn from the general theory to examine a specific class class of groups: the orthogonal groups. Recall that O(n, R) is the group of

More information

QUATERNIONS AND ROTATIONS

QUATERNIONS AND ROTATIONS QUATERNIONS AND ROTATIONS SVANTE JANSON 1. Introduction The purpose of this note is to show some well-known relations between quaternions and the Lie groups SO(3) and SO(4) (rotations in R 3 and R 4 )

More information

Lecture 10: A (Brief) Introduction to Group Theory (See Chapter 3.13 in Boas, 3rd Edition)

Lecture 10: A (Brief) Introduction to Group Theory (See Chapter 3.13 in Boas, 3rd Edition) Lecture 0: A (Brief) Introduction to Group heory (See Chapter 3.3 in Boas, 3rd Edition) Having gained some new experience with matrices, which provide us with representations of groups, and because symmetries

More information

Matrices over Hyperbolic Split Quaternions

Matrices over Hyperbolic Split Quaternions Filomat 30:4 (2016), 913 920 DOI 102298/FIL1604913E Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://wwwpmfniacrs/filomat Matrices over Hyperbolic Split

More information

CLASSICAL GROUPS DAVID VOGAN

CLASSICAL GROUPS DAVID VOGAN CLASSICAL GROUPS DAVID VOGAN 1. Orthogonal groups These notes are about classical groups. That term is used in various ways by various people; I ll try to say a little about that as I go along. Basically

More information

LORENTZIAN MATRIX MULTIPLICATION AND THE MOTIONS ON LORENTZIAN PLANE. Kırıkkale University, Turkey

LORENTZIAN MATRIX MULTIPLICATION AND THE MOTIONS ON LORENTZIAN PLANE. Kırıkkale University, Turkey GLASNIK MATEMATIČKI Vol. 41(61)(2006), 329 334 LORENTZIAN MATRIX MULTIPLICATION AND THE MOTIONS ON LORENTZIAN PLANE Halı t Gündoğan and Osman Keçı lı oğlu Kırıkkale University, Turkey Abstract. In this

More information

A REPRESENTATION OF DE MOIVRE S FORMULA OVER PAULI-QUATERNIONS

A REPRESENTATION OF DE MOIVRE S FORMULA OVER PAULI-QUATERNIONS ISSN 066-6594 Ann. Acad. Rom. Sci. Ser. Math. Appl. Vol. 9, No. /017 A REPRESENTATION OF DE MOIVRE S FORMULA OVER PAULI-QUATERNIONS J. E. Kim Abstract We investigate algebraic and analytic properties of

More information

Dual unitary matrices and unit dual quaternions

Dual unitary matrices and unit dual quaternions Dual unitary matrices and unit dual quaternions Erhan Ata and Yusuf Yayli Abstract. In this study, the dual complex numbers defined as the dual quaternions have been considered as a generalization of complex

More information

sin(α + θ) = sin α cos θ + cos α sin θ cos(α + θ) = cos α cos θ sin α sin θ

sin(α + θ) = sin α cos θ + cos α sin θ cos(α + θ) = cos α cos θ sin α sin θ Rotations in the 2D Plane Trigonometric addition formulas: sin(α + θ) = sin α cos θ + cos α sin θ cos(α + θ) = cos α cos θ sin α sin θ Rotate coordinates by angle θ: 1. Start with x = r cos α y = r sin

More information

CS 246 Review of Linear Algebra 01/17/19

CS 246 Review of Linear Algebra 01/17/19 1 Linear algebra In this section we will discuss vectors and matrices. We denote the (i, j)th entry of a matrix A as A ij, and the ith entry of a vector as v i. 1.1 Vectors and vector operations A vector

More information

Introduction to quaternions

Introduction to quaternions . Introduction Introduction to uaternions Invented and developed by William Hamilton in 843, uaternions are essentially a generalization of complex numbers to four dimensions (one real dimension, three

More information

MAT 445/ INTRODUCTION TO REPRESENTATION THEORY

MAT 445/ INTRODUCTION TO REPRESENTATION THEORY MAT 445/1196 - INTRODUCTION TO REPRESENTATION THEORY CHAPTER 1 Representation Theory of Groups - Algebraic Foundations 1.1 Basic definitions, Schur s Lemma 1.2 Tensor products 1.3 Unitary representations

More information

Introduction to Modern Quantum Field Theory

Introduction to Modern Quantum Field Theory Department of Mathematics University of Texas at Arlington Arlington, TX USA Febuary, 2016 Recall Einstein s famous equation, E 2 = (Mc 2 ) 2 + (c p) 2, where c is the speed of light, M is the classical

More information

Clifford Analysis, Homework 1

Clifford Analysis, Homework 1 Clifford Analysis, Homework 1 November 1, 017 1 Let w v 1... v k, for vectors v j. Show that ŵ is the result of negating the vectors: ŵ ( v 1 )... ( v k ). Show that w is the result of changing the order

More information

Review of linear algebra

Review of linear algebra Review of linear algebra 1 Vectors and matrices We will just touch very briefly on certain aspects of linear algebra, most of which should be familiar. Recall that we deal with vectors, i.e. elements of

More information

BSc (Hons) in Computer Games Development. vi Calculate the components a, b and c of a non-zero vector that is orthogonal to

BSc (Hons) in Computer Games Development. vi Calculate the components a, b and c of a non-zero vector that is orthogonal to 1 APPLIED MATHEMATICS INSTRUCTIONS Full marks will be awarded for the correct solutions to ANY FIVE QUESTIONS. This paper will be marked out of a TOTAL MAXIMUM MARK OF 100. Credit will be given for clearly

More information

PHYS 705: Classical Mechanics. Rigid Body Motion Introduction + Math Review

PHYS 705: Classical Mechanics. Rigid Body Motion Introduction + Math Review 1 PHYS 705: Classical Mechanics Rigid Body Motion Introduction + Math Review 2 How to describe a rigid body? Rigid Body - a system of point particles fixed in space i r ij j subject to a holonomic constraint:

More information

On the Blaschke trihedrons of a line congruence

On the Blaschke trihedrons of a line congruence NTMSCI 4, No. 1, 130-141 (2016) 130 New Trends in Mathematical Sciences http://dx.doi.org/10.20852/ntmsci.2016115659 On the Blaschke trihedrons of a line congruence Sadullah Celik Emin Ozyilmaz Department

More information

5. Vector Algebra and Spherical Trigonometry (continued)

5. Vector Algebra and Spherical Trigonometry (continued) MA232A Euclidean and Non-Euclidean Geometry School of Mathematics, Trinity College Michaelmas Term 2017 Section 5: Vector Algebra and Spherical Trigonometry David R. Wilkins 5.1. Vectors in Three-Dimensional

More information

Introduction to Group Theory

Introduction to Group Theory Chapter 10 Introduction to Group Theory Since symmetries described by groups play such an important role in modern physics, we will take a little time to introduce the basic structure (as seen by a physicist)

More information

LINEAR ALGEBRA AND iroup THEORY FOR PHYSICISTS

LINEAR ALGEBRA AND iroup THEORY FOR PHYSICISTS LINEAR ALGEBRA AND iroup THEORY FOR PHYSICISTS K.N. SRINIVASA RAO Professor of Theoretical Physics (Retd) University of Mysore, Mysore, INDIA JOHN WILEY «SONS NEW YORK CHICHESTER BRISBANE TORONTO SINGAPORE

More information

A = 3 B = A 1 1 matrix is the same as a number or scalar, 3 = [3].

A = 3 B = A 1 1 matrix is the same as a number or scalar, 3 = [3]. Appendix : A Very Brief Linear ALgebra Review Introduction Linear Algebra, also known as matrix theory, is an important element of all branches of mathematics Very often in this course we study the shapes

More information

Complex Numbers and Quaternions for Calc III

Complex Numbers and Quaternions for Calc III Complex Numbers and Quaternions for Calc III Taylor Dupuy September, 009 Contents 1 Introduction 1 Two Ways of Looking at Complex Numbers 1 3 Geometry of Complex Numbers 4 Quaternions 5 4.1 Connection

More information

Representations of Lorentz Group

Representations of Lorentz Group Representations of Lorentz Group based on S-33 We defined a unitary operator that implemented a Lorentz transformation on a scalar field: How do we find the smallest (irreducible) representations of the

More information

Special Lecture - The Octionions

Special Lecture - The Octionions Special Lecture - The Octionions March 15, 2013 1 R 1.1 Definition Not much needs to be said here. From the God given natural numbers, we algebraically build Z and Q. Then create a topology from the distance

More information

Lecture 22 - F 4. April 19, The Weyl dimension formula gives the following dimensions of the fundamental representations:

Lecture 22 - F 4. April 19, The Weyl dimension formula gives the following dimensions of the fundamental representations: Lecture 22 - F 4 April 19, 2013 1 Review of what we know about F 4 We have two definitions of the Lie algebra f 4 at this point. The old definition is that it is the exceptional Lie algebra with Dynkin

More information

When is the Ring of 2x2 Matrices over a Ring Galois?

When is the Ring of 2x2 Matrices over a Ring Galois? International Journal of Algebra, Vol. 7, 2013, no. 9, 439-444 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ija.2013.3445 When is the Ring of 2x2 Matrices over a Ring Galois? Audrey Nelson Department

More information

HIGHER CLASS GROUPS OF GENERALIZED EICHLER ORDERS

HIGHER CLASS GROUPS OF GENERALIZED EICHLER ORDERS HIGHER CLASS GROUPS OF GENERALIZED EICHLER ORDERS XUEJUN GUO 1 ADEREMI KUKU 2 1 Department of Mathematics, Nanjing University Nanjing, Jiangsu 210093, The People s Republic of China guoxj@nju.edu.cn The

More information

Contents. D. R. Wilkins. Copyright c David R. Wilkins

Contents. D. R. Wilkins. Copyright c David R. Wilkins MA232A Euclidean and Non-Euclidean Geometry School of Mathematics, Trinity College Michaelmas Term 2017 Section 5: Vector Algebra and Spherical Trigonometry D. R. Wilkins Copyright c David R. Wilkins 2015

More information

arxiv: v1 [math.ra] 10 Nov 2018

arxiv: v1 [math.ra] 10 Nov 2018 arxiv:1811.04243v1 [math.ra] 10 Nov 2018 BURNSIDE S THEOREM IN THE SETTING OF GENERAL FIELDS HEYDAR RADJAVI AND BAMDAD R. YAHAGHI Abstract. We extend a well-known theorem of Burnside in the setting of

More information

Quaternions. Basilio Bona. Semester 1, DAUIN Politecnico di Torino. B. Bona (DAUIN) Quaternions Semester 1, / 40

Quaternions. Basilio Bona. Semester 1, DAUIN Politecnico di Torino. B. Bona (DAUIN) Quaternions Semester 1, / 40 Quaternions Basilio Bona DAUIN Politecnico di Torino Semester 1, 2016-2017 B. Bona (DAUIN) Quaternions Semester 1, 2016-2017 1 / 40 Introduction Complex numbers with unit norm can be used as rotation operators

More information

Quaternions. R. J. Renka 11/09/2015. Department of Computer Science & Engineering University of North Texas. R. J.

Quaternions. R. J. Renka 11/09/2015. Department of Computer Science & Engineering University of North Texas. R. J. Quaternions R. J. Renka Department of Computer Science & Engineering University of North Texas 11/09/2015 Definition A quaternion is an element of R 4 with three operations: addition, scalar multiplication,

More information

Plan for the rest of the semester. ψ a

Plan for the rest of the semester. ψ a Plan for the rest of the semester ϕ ψ a ϕ(x) e iα(x) ϕ(x) 167 Representations of Lorentz Group based on S-33 We defined a unitary operator that implemented a Lorentz transformation on a scalar field: and

More information

p 2 p 3 p y p z It will not be considered in the present context; the interested reader can find more details in [05].

p 2 p 3 p y p z It will not be considered in the present context; the interested reader can find more details in [05]. 1. Geometrical vectors A geometrical vector p represents a point P in space. The point P is an abstraction that often, but not always, requires a representation. Vector representations are given wrt a

More information

Part IV. Rings and Fields

Part IV. Rings and Fields IV.18 Rings and Fields 1 Part IV. Rings and Fields Section IV.18. Rings and Fields Note. Roughly put, modern algebra deals with three types of structures: groups, rings, and fields. In this section we

More information

Course 2BA1: Hilary Term 2007 Section 8: Quaternions and Rotations

Course 2BA1: Hilary Term 2007 Section 8: Quaternions and Rotations Course BA1: Hilary Term 007 Section 8: Quaternions and Rotations David R. Wilkins Copyright c David R. Wilkins 005 Contents 8 Quaternions and Rotations 1 8.1 Quaternions............................ 1 8.

More information

ECS 178 Course Notes QUATERNIONS

ECS 178 Course Notes QUATERNIONS ECS 178 Course Notes QUATERNIONS Kenneth I. Joy Institute for Data Analysis and Visualization Department of Computer Science University of California, Davis Overview The quaternion number system was discovered

More information

Rodrigues formula for the Cayley transform of groups SO(n) and SE(n)

Rodrigues formula for the Cayley transform of groups SO(n) and SE(n) Stud. Univ. Babeş-Bolyai Math. 60(2015), No. 1, 31 38 Rodrigues formula for the Cayley transform of groups SO(n) and SE(n) Dorin Andrica and Oana Liliana Chender Abstract. In Theorem 3.1 we present, in

More information

THE COMPLEXITY OF THE QUATERNION PROD- UCT*

THE COMPLEXITY OF THE QUATERNION PROD- UCT* 1 THE COMPLEXITY OF THE QUATERNION PROD- UCT* Thomas D. Howell Jean-Claude Lafon 1 ** TR 75-245 June 1975 2 Department of Computer Science, Cornell University, Ithaca, N.Y. * This research was supported

More information

Chapter XI Novanion rings

Chapter XI Novanion rings Chapter XI Novanion rings 11.1 Introduction. In this chapter we continue to provide general structures for theories in physics. J. F. Adams proved in 1960 that the only possible division algebras are at

More information

MATHEMATICS 217 NOTES

MATHEMATICS 217 NOTES MATHEMATICS 27 NOTES PART I THE JORDAN CANONICAL FORM The characteristic polynomial of an n n matrix A is the polynomial χ A (λ) = det(λi A), a monic polynomial of degree n; a monic polynomial in the variable

More information

Linear Algebra V = T = ( 4 3 ).

Linear Algebra V = T = ( 4 3 ). Linear Algebra Vectors A column vector is a list of numbers stored vertically The dimension of a column vector is the number of values in the vector W is a -dimensional column vector and V is a 5-dimensional

More information

Real, Complex, and Quarternionic Representations

Real, Complex, and Quarternionic Representations Real, Complex, and Quarternionic Representations JWR 10 March 2006 1 Group Representations 1. Throughout R denotes the real numbers, C denotes the complex numbers, H denotes the quaternions, and G denotes

More information

1 Tensors and relativity

1 Tensors and relativity Physics 705 1 Tensors and relativity 1.1 History Physical laws should not depend on the reference frame used to describe them. This idea dates back to Galileo, who recognized projectile motion as free

More information

A PRIMER ON SESQUILINEAR FORMS

A PRIMER ON SESQUILINEAR FORMS A PRIMER ON SESQUILINEAR FORMS BRIAN OSSERMAN This is an alternative presentation of most of the material from 8., 8.2, 8.3, 8.4, 8.5 and 8.8 of Artin s book. Any terminology (such as sesquilinear form

More information

(6) For any finite dimensional real inner product space V there is an involutive automorphism α : C (V) C (V) such that α(v) = v for all v V.

(6) For any finite dimensional real inner product space V there is an involutive automorphism α : C (V) C (V) such that α(v) = v for all v V. 1 Clifford algebras and Lie triple systems Section 1 Preliminaries Good general references for this section are [LM, chapter 1] and [FH, pp. 299-315]. We are especially indebted to D. Shapiro [S2] who

More information

The Spinor Representation

The Spinor Representation The Spinor Representation Math G4344, Spring 2012 As we have seen, the groups Spin(n) have a representation on R n given by identifying v R n as an element of the Clifford algebra C(n) and having g Spin(n)

More information

Sylow 2-Subgroups of Solvable Q-Groups

Sylow 2-Subgroups of Solvable Q-Groups E extracta mathematicae Vol. 22, Núm. 1, 83 91 (2007) Sylow 2-Subgroups of Solvable Q-roups M.R. Darafsheh, H. Sharifi Department of Mathematics, Statistics and Computer Science, Faculty of Science University

More information

A Field Extension as a Vector Space

A Field Extension as a Vector Space Chapter 8 A Field Extension as a Vector Space In this chapter, we take a closer look at a finite extension from the point of view that is a vector space over. It is clear, for instance, that any is a linear

More information

Math Linear Algebra II. 1. Inner Products and Norms

Math Linear Algebra II. 1. Inner Products and Norms Math 342 - Linear Algebra II Notes 1. Inner Products and Norms One knows from a basic introduction to vectors in R n Math 254 at OSU) that the length of a vector x = x 1 x 2... x n ) T R n, denoted x,

More information

Review of Linear Algebra

Review of Linear Algebra Review of Linear Algebra Definitions An m n (read "m by n") matrix, is a rectangular array of entries, where m is the number of rows and n the number of columns. 2 Definitions (Con t) A is square if m=

More information

Lecture 7. Quaternions

Lecture 7. Quaternions Matthew T. Mason Mechanics of Manipulation Spring 2012 Today s outline Motivation Motivation have nice geometrical interpretation. have advantages in representing rotation. are cool. Even if you don t

More information

A VERY BRIEF LINEAR ALGEBRA REVIEW for MAP 5485 Introduction to Mathematical Biophysics Fall 2010

A VERY BRIEF LINEAR ALGEBRA REVIEW for MAP 5485 Introduction to Mathematical Biophysics Fall 2010 A VERY BRIEF LINEAR ALGEBRA REVIEW for MAP 5485 Introduction to Mathematical Biophysics Fall 00 Introduction Linear Algebra, also known as matrix theory, is an important element of all branches of mathematics

More information

Math 489AB Exercises for Chapter 2 Fall Section 2.3

Math 489AB Exercises for Chapter 2 Fall Section 2.3 Math 489AB Exercises for Chapter 2 Fall 2008 Section 2.3 2.3.3. Let A M n (R). Then the eigenvalues of A are the roots of the characteristic polynomial p A (t). Since A is real, p A (t) is a polynomial

More information

Leandra Vicci. Microelectronic Systems Laboratory. Department of Computer Science. University of North Carolina at Chapel Hill. 27 April 2001.

Leandra Vicci. Microelectronic Systems Laboratory. Department of Computer Science. University of North Carolina at Chapel Hill. 27 April 2001. Quaternions and Rotations in 3-Space: The Algebra and its Geometric Interpretation Leandra Vicci Microelectronic Systems Laboratory Department of Computer Science University of North Carolina at Chapel

More information

Algebra I Fall 2007

Algebra I Fall 2007 MIT OpenCourseWare http://ocw.mit.edu 18.701 Algebra I Fall 007 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 18.701 007 Geometry of the Special Unitary

More information

Linear Algebra Review. Vectors

Linear Algebra Review. Vectors Linear Algebra Review 9/4/7 Linear Algebra Review By Tim K. Marks UCSD Borrows heavily from: Jana Kosecka http://cs.gmu.edu/~kosecka/cs682.html Virginia de Sa (UCSD) Cogsci 8F Linear Algebra review Vectors

More information

The Homogenous Lorentz Group

The Homogenous Lorentz Group The Homogenous Lorentz Group Thomas Wening February 3, 216 Contents 1 Proper Lorentz Transforms 1 2 Four Vectors 2 3 Basic Properties of the Transformations 3 4 Connection to SL(2, C) 5 5 Generators of

More information

The Tensor Product of Galois Algebras

The Tensor Product of Galois Algebras Gen. Math. Notes, Vol. 22, No. 1, May 2014, pp.11-16 ISSN 2219-7184; Copyright c ICSRS Publication, 2014 www.i-csrs.org Available free online at http://www.geman.in The Tensor Product of Galois Algebras

More information

Quantum Computing Lecture 2. Review of Linear Algebra

Quantum Computing Lecture 2. Review of Linear Algebra Quantum Computing Lecture 2 Review of Linear Algebra Maris Ozols Linear algebra States of a quantum system form a vector space and their transformations are described by linear operators Vector spaces

More information

Contents. Preface for the Instructor. Preface for the Student. xvii. Acknowledgments. 1 Vector Spaces 1 1.A R n and C n 2

Contents. Preface for the Instructor. Preface for the Student. xvii. Acknowledgments. 1 Vector Spaces 1 1.A R n and C n 2 Contents Preface for the Instructor xi Preface for the Student xv Acknowledgments xvii 1 Vector Spaces 1 1.A R n and C n 2 Complex Numbers 2 Lists 5 F n 6 Digression on Fields 10 Exercises 1.A 11 1.B Definition

More information

Determinants - Uniqueness and Properties

Determinants - Uniqueness and Properties Determinants - Uniqueness and Properties 2-2-2008 In order to show that there s only one determinant function on M(n, R), I m going to derive another formula for the determinant It involves permutations

More information

The Lorentz group provides another interesting example. Moreover, the Lorentz group SO(3, 1) shows up in an interesting way in computer vision.

The Lorentz group provides another interesting example. Moreover, the Lorentz group SO(3, 1) shows up in an interesting way in computer vision. 190 CHAPTER 3. REVIEW OF GROUPS AND GROUP ACTIONS 3.3 The Lorentz Groups O(n, 1), SO(n, 1) and SO 0 (n, 1) The Lorentz group provides another interesting example. Moreover, the Lorentz group SO(3, 1) shows

More information

Vectors and matrices: matrices (Version 2) This is a very brief summary of my lecture notes.

Vectors and matrices: matrices (Version 2) This is a very brief summary of my lecture notes. Vectors and matrices: matrices (Version 2) This is a very brief summary of my lecture notes Matrices and linear equations A matrix is an m-by-n array of numbers A = a 11 a 12 a 13 a 1n a 21 a 22 a 23 a

More information

Section 3.2. Multiplication of Matrices and Multiplication of Vectors and Matrices

Section 3.2. Multiplication of Matrices and Multiplication of Vectors and Matrices 3.2. Multiplication of Matrices and Multiplication of Vectors and Matrices 1 Section 3.2. Multiplication of Matrices and Multiplication of Vectors and Matrices Note. In this section, we define the product

More information

Dual Smarandache Curves of a Timelike Curve lying on Unit dual Lorentzian Sphere

Dual Smarandache Curves of a Timelike Curve lying on Unit dual Lorentzian Sphere MATHEMATICAL SCIENCES AND APPLICATIONS E-NOTES 4 () -3 (06) c MSAEN Dual Smarandache Curves of a Timelike Curve lying on Unit dual Lorentzian Sphere Tanju Kahraman* and Hasan Hüseyin Uğurlu (Communicated

More information

Chapter 2. Linear Algebra. rather simple and learning them will eventually allow us to explain the strange results of

Chapter 2. Linear Algebra. rather simple and learning them will eventually allow us to explain the strange results of Chapter 2 Linear Algebra In this chapter, we study the formal structure that provides the background for quantum mechanics. The basic ideas of the mathematical machinery, linear algebra, are rather simple

More information

arxiv: v1 [math.gr] 8 Nov 2008

arxiv: v1 [math.gr] 8 Nov 2008 SUBSPACES OF 7 7 SKEW-SYMMETRIC MATRICES RELATED TO THE GROUP G 2 arxiv:0811.1298v1 [math.gr] 8 Nov 2008 ROD GOW Abstract. Let K be a field of characteristic different from 2 and let C be an octonion algebra

More information

Vladimir Kirichenko and Makar Plakhotnyk

Vladimir Kirichenko and Makar Plakhotnyk São Paulo Journal of Mathematical Sciences 4, 1 (2010), 109 120 Gorenstein Quivers Vladimir Kirichenko and Makar Plakhotnyk Faculty of Mechanics and Mathematics, Kyiv National Taras Shevchenko University,

More information

An Optimal Control Problem for Rigid Body Motions in Minkowski Space

An Optimal Control Problem for Rigid Body Motions in Minkowski Space Applied Mathematical Sciences, Vol. 5, 011, no. 5, 559-569 An Optimal Control Problem for Rigid Body Motions in Minkowski Space Nemat Abazari Department of Mathematics, Ardabil Branch Islamic Azad University,

More information

Quaternion Algebras. Properties and Applications. Rob Eimerl. May 5th, University of Puget Sound. 1 Department of Mathematics

Quaternion Algebras. Properties and Applications. Rob Eimerl. May 5th, University of Puget Sound. 1 Department of Mathematics Quaternion Algebras Properties and Applications Rob Eimerl 1 Department of Mathematics University of Puget Sound May 5th, 2015 Quaternion Algebra Definition: Let be a field and A be a vector space over

More information

EXPLICIT SYMMETRIES OF THE KEPLER HAMILTONIAN

EXPLICIT SYMMETRIES OF THE KEPLER HAMILTONIAN EXPLICIT SYMMETRIES OF THE KEPLER HAMILTONIAN HORST KNÖRRER AND EUGENE TRUBOWITZ To Richard Cushman on the occasion of his 65 th birthday Abstract. Using quaternions, we give explicit formulas for the

More information

Math Problem set # 7

Math Problem set # 7 Math 128 - Problem set # 7 Clifford algebras. April 8, 2004 due April 22 Because of disruptions due the the Jewish holidays and surgery on my knee there will be no class next week (April 13 or 15). (Doctor

More information

LIE ALGEBRAS: LECTURE 7 11 May 2010

LIE ALGEBRAS: LECTURE 7 11 May 2010 LIE ALGEBRAS: LECTURE 7 11 May 2010 CRYSTAL HOYT 1. sl n (F) is simple Let F be an algebraically closed field with characteristic zero. Let V be a finite dimensional vector space. Recall, that f End(V

More information

A linear algebra proof of the fundamental theorem of algebra

A linear algebra proof of the fundamental theorem of algebra A linear algebra proof of the fundamental theorem of algebra Andrés E. Caicedo May 18, 2010 Abstract We present a recent proof due to Harm Derksen, that any linear operator in a complex finite dimensional

More information

Introduction to Lie Groups

Introduction to Lie Groups Introduction to Lie Groups MAT 4144/5158 Winter 2015 Alistair Savage Department of Mathematics and Statistics University of Ottawa This work is licensed under a Creative Commons Attribution-ShareAlike

More information

j=1 [We will show that the triangle inequality holds for each p-norm in Chapter 3 Section 6.] The 1-norm is A F = tr(a H A).

j=1 [We will show that the triangle inequality holds for each p-norm in Chapter 3 Section 6.] The 1-norm is A F = tr(a H A). Math 344 Lecture #19 3.5 Normed Linear Spaces Definition 3.5.1. A seminorm on a vector space V over F is a map : V R that for all x, y V and for all α F satisfies (i) x 0 (positivity), (ii) αx = α x (scale

More information

GENERALIZED MATRIX MULTIPLICATION AND ITS SOME APPLICATION. 1. Introduction

GENERALIZED MATRIX MULTIPLICATION AND ITS SOME APPLICATION. 1. Introduction FACTA UNIVERSITATIS (NIŠ) Ser Math Inform Vol, No 5 (7), 789 798 https://doiorg/9/fumi75789k GENERALIZED MATRIX MULTIPLICATION AND ITS SOME APPLICATION Osman Keçilioğlu and Halit Gündoğan Abstract In this

More information

A linear algebra proof of the fundamental theorem of algebra

A linear algebra proof of the fundamental theorem of algebra A linear algebra proof of the fundamental theorem of algebra Andrés E. Caicedo May 18, 2010 Abstract We present a recent proof due to Harm Derksen, that any linear operator in a complex finite dimensional

More information

14 Singular Value Decomposition

14 Singular Value Decomposition 14 Singular Value Decomposition For any high-dimensional data analysis, one s first thought should often be: can I use an SVD? The singular value decomposition is an invaluable analysis tool for dealing

More information

Determining special roots of quaternion polynomials

Determining special roots of quaternion polynomials Annales Mathematicae et Informaticae 47 (2017) pp. 75 83 http://ami.uni-eszterhazy.hu Determining special roots of quaternion polynomials Petroula Dospra a, Dimitrios Poulakis b a petroula.dospra@gmail.com

More information

MATH 320: PRACTICE PROBLEMS FOR THE FINAL AND SOLUTIONS

MATH 320: PRACTICE PROBLEMS FOR THE FINAL AND SOLUTIONS MATH 320: PRACTICE PROBLEMS FOR THE FINAL AND SOLUTIONS There will be eight problems on the final. The following are sample problems. Problem 1. Let F be the vector space of all real valued functions on

More information

Coordinates for Projective Planes

Coordinates for Projective Planes Chapter 8 Coordinates for Projective Planes Math 4520, Fall 2017 8.1 The Affine plane We now have several eamples of fields, the reals, the comple numbers, the quaternions, and the finite fields. Given

More information

Existence Theorems for Timelike Ruled Surfaces in Minkowski 3-Space

Existence Theorems for Timelike Ruled Surfaces in Minkowski 3-Space Existence Theorems for Timelike Ruled Surfaces in Minkowski -Space Mehmet Önder Celal Bayar University, Faculty of Science and Arts, Department of Mathematics, Muradiye Campus, 45047 Muradiye, Manisa,

More information

ROTATIONS OF THE RIEMANN SPHERE

ROTATIONS OF THE RIEMANN SPHERE ROTATIONS OF THE RIEMANN SPHERE A rotation of the sphere S is a map r = r p,α described by spinning the sphere (actually, spinning the ambient space R 3 ) about the line through the origin and the point

More information

Elementary maths for GMT

Elementary maths for GMT Elementary maths for GMT Linear Algebra Part 2: Matrices, Elimination and Determinant m n matrices The system of m linear equations in n variables x 1, x 2,, x n a 11 x 1 + a 12 x 2 + + a 1n x n = b 1

More information

Linear Algebra Primer

Linear Algebra Primer Introduction Linear Algebra Primer Daniel S. Stutts, Ph.D. Original Edition: 2/99 Current Edition: 4//4 This primer was written to provide a brief overview of the main concepts and methods in elementary

More information

Dot Products, Transposes, and Orthogonal Projections

Dot Products, Transposes, and Orthogonal Projections Dot Products, Transposes, and Orthogonal Projections David Jekel November 13, 2015 Properties of Dot Products Recall that the dot product or standard inner product on R n is given by x y = x 1 y 1 + +

More information

Linear algebra 2. Yoav Zemel. March 1, 2012

Linear algebra 2. Yoav Zemel. March 1, 2012 Linear algebra 2 Yoav Zemel March 1, 2012 These notes were written by Yoav Zemel. The lecturer, Shmuel Berger, should not be held responsible for any mistake. Any comments are welcome at zamsh7@gmail.com.

More information

Econ 204 Supplement to Section 3.6 Diagonalization and Quadratic Forms. 1 Diagonalization and Change of Basis

Econ 204 Supplement to Section 3.6 Diagonalization and Quadratic Forms. 1 Diagonalization and Change of Basis Econ 204 Supplement to Section 3.6 Diagonalization and Quadratic Forms De La Fuente notes that, if an n n matrix has n distinct eigenvalues, it can be diagonalized. In this supplement, we will provide

More information

Diagonalization by a unitary similarity transformation

Diagonalization by a unitary similarity transformation Physics 116A Winter 2011 Diagonalization by a unitary similarity transformation In these notes, we will always assume that the vector space V is a complex n-dimensional space 1 Introduction A semi-simple

More information

msqm 2011/8/14 21:35 page 189 #197

msqm 2011/8/14 21:35 page 189 #197 msqm 2011/8/14 21:35 page 189 #197 Bibliography Dirac, P. A. M., The Principles of Quantum Mechanics, 4th Edition, (Oxford University Press, London, 1958). Feynman, R. P. and A. P. Hibbs, Quantum Mechanics

More information