Multiplication on R n
|
|
- Rhoda Anthony
- 5 years ago
- Views:
Transcription
1 Multiplication on R n 1. Division Algebra and Vector Product Basudeb Datta Basudeb Datta received his Ph D degree from the Indian Statistical Institute in Since July 1992 he has been at the Indian Institute of Science, Bangalore. His areas of interest are Topology and Geometry. In 1843 Hamilton discovered the quaternions and in the same year Graves found an algebra with 8 basis elements. So, mathematicians 'knew the division algebra structures (over JR) on lr, ]R2, ]R4 and 1R 8 in the first half of the 19th century itself. It took more than 100 years to prove that these are all the division algebras over JR. This follows from a theorem of Adams (which we will discuss in Part 2). In this part we also discuss 'vector products' on ]R3 and JR7 and Hurwitz's theorem on 'sums of squares formulae'. Division Algebra Let 1R and C denote the set of real and complex numbers respectively. Recall the multiplication rule of complex numbers: (a + bi) (c + di) = (ac - db) + (da + bc)i. (1) Identifying ]R2 with C (by (a, b) ~ a + bi) we get a m~ltiplication on]r2 namely, Gerolamo Cardano. a famous medical doctor. philosopher and mathematician. who lived in Milan, was the first person to define complex numbers in (a, b) (c, d) = (ac - db, da + be). (1') With this multiplication, ]R2 becomes an associative division algebra lover lit In this case 1 = (1,0) is the unity for the multiplication and x-i = x/llxll for all x -=F (0,0), where (Xl, X2) = (Xl, -X2) and "(Xl, X2)" = (x~ + x~)1/2. We also know (!) that ]R4 has a multiplication given by: i 2 = j2 = k 2 = -1, i j=k=-j i, j k = i = -k j, k i = j = -i k, (2),AAAAAA 8..., V V V V..., RESONANCE I January 1998
2 where 1 = (1,0,0,0), i = (0,1,0,0), j = (0,0,1,0) and k = (0,0,0,1). In this case also x-l = x/llxll, where (Xl, x2, x3, X4) = (Xl, -x2, -x3, -X4). With this multiplication and the usual vector space structure, lr4 is an associative division algebra over lr. But you have to be careful about dividing a by b on the left or on the right! This algebra is called the algebra of quaternions and is denoted by JHI. Observe that multiplicatiqn in lhi is not commutative, whereas multiplication in reals or complex numbers is commutative. So you know why it took 304 years to define quaternions. Also, a polynomial may have infinitely many zeros in lhi. Find the zeros of x in lhi (exercise). If we identify lhi with C x C via X + yi + zj + wk = (x + yi) + (z + wi)j ~ (x + yi, z + wi), then the multiplication in (2) can be obtained from the formula (x, y) (z, w) = (x z - wy, w X + y z). (2') w here here x, y, z and ware elements of C. Now, if we take x, y, z, w E lhi in (2'), then we get a multiplication on lr s Therefore, for n E {I, 2, 4} we have the following: 1 An algebra over JR. consists of a vector space V over JR., together with a binary operation of multiplication ('. ') on the set V of vectors, such that for all a in JR. and 0, f3, 'Y in V, the following conditions are satisfied: (i) (ao) f3 = a(o. (3) = 0: (af3), (ii) (0: + J3). l' = (0:. 'Y) + (f3 '1') and (iii) 0:' (f3+'y) = (0:.f3)+ (0:. 'Y)' If moreover V satisfies (iv) (0:' (3). 'Y = 0:' (f3. 'Y) for all 0:, f3, l' in V, then V is called an associative algebra over JR.. An algebra V over lr. is a division algebra over JR. if V has a unity for multiplication and each nonzero element x has a unique left inverse XL, a unique right inverse XR, with XL = xr.this is denoted by x-i. An easy way to remember multiplication in JR.8 is: epep+1ep+: = e~ = -1 for p, q E {I,..., 7} (addition in the suffix is modulo 7). Multiplication in lr 2n can be obtained from that of JR.n by the formula: (x, y). (z, w) = (x z - wy, w x + y z). There is another way to remember the multiplication in IRs by the following rule: = e3 (e4 e6) = (e4 e5) e7 = e4 (e5 e7) = (e5 e6) el = e5 (e6 el) = (e6 e7) e2 = e6 (e7 e2) = (e7 el) e3 = e7 (el e3) = e; = - -1 = -eo and (er e s ) es = es (es er) = -er In a letter to John Graves, written on October 17, 1843, WR Hamilton announced the discovery of quaternions one day after the discovery. -RE-S-O-N-A-N-C-E--I-J-a-nu-a-r-Y ~~ ,
3 John Graves found an algebra with 8 basis elements in December In 1848 he published his discovery in the Transactions of the Irish Academy, 21, p.388.0ctonions were rediscovered by Arthur Cayley in 1845 (Collected Papers I, p.127 and Xl, p ). Because of this the octonions are known as Cayley numbers! for r, s E {I, 2,. 7}, where the identification between IRs and lhi x lhi is given by eo = (1,0,.,0) 1--+ (1,0), el = (0,1,0,,0) 1--+ (i,o), e (j,0), e (0,1), e (k,o), e (0, j), e (0, -k) and e7 = (0,.,0, 1) 1--+ (0, i). Now, (el e2) e5 = e7 i= -e7 = el (e2 e5). Therefore, this multiplication in IRs is non-associative. However, in IRs also each non-zero x has unique inverse, namely, x-i = x/llxll, where (hi, h2) = (hi, -h2), i.e., (x},,xs) = (x}, -X2, -xs). IRs with this multiplication forms a non-associative division algebra, denoted by 0, called the algebra of octonions or Cayley numbers. Observation 1: Any two octonions generate an associative sub-algebra of O. If we continue further with the formula (2') to define a multiplication on IRI6 then we get (q, e2) (e5, -e7) = (0,0). Thus we get 'divisors of zero'. So we better stop here! (If x and yare two nonzero elements such that xy = 0, then they are called divisors of zero. A division algebra does not have divisors of zero (exercise).) All these four algebras lr, C, lhi and 0 are normed algebras, i.e., \Ix 'yll = IIxll'llyll, where 1111 denotes the usual Euclidean length. IR and C are commutative algebras. IR, C and lhi are associative algebras. Thus, IR n has a division algebra structure if n E {I, 2, 4, 8}. Question: Does there exist n, other than 1, 2, 4 and 8, for which IRn has a division algebra structure over IR? This question is resolved by the following theorem. Theorem A : IRn has a division algebra structure over IR if and only if n E {I, 2,4, 8}. Remark: An examination of the proof of Theorem A (which LAA~AAA 10 v V V V v RESONANCE I January 1998
4 will be given in Part 2) will show that we have actually proved the following statement: lr n has an algebra structure over lr without divisors of zero if and only if n E {I, 2, 4, 8}. Vector Product Recall the cross product (or vector product) on JR3. given by It is i x j = k = -j x i, k x i = j = -i x k, j x k = i = -k x j, ixi=jxj=kxk=o where i, j, k here are the usual basis vectors in ]R3 and bilinearity (or distributive property)is assumed. Is it in any way related to 1HI? Yes! If we take 1R 3 = Span]R( {i, j, k}) ~ lhi, then 2 x x y = imaginary part of x y. This cross product has the following properties (x x y)..l x, (x x y)..l y and 3 IIx x Yll2 = (x,x)(y,y) - (x,y)2 4for all x, y in 1R 3 (3) (4) 2 For al,..., a p in ]Rn SpanR({a1,...,ap}) denotes the subspace generated by {al,'",ap }. 3 If (z, w) = 0 then we say z is orthogonal to wand we write z 1. w. By a vector product on ]Rn we mean a continuous mapping v : ]Rn x ]Rn ---+ ]Rn with the properties (3) and (4). More precisely, we have the following definition. Vector product: A continuous map v : ]Rn x ]Rn ---+ ]Rn is called a vector product on]rn if v(x, y)..l x, li(x, y)..l y and IIv(x,y)1I 2 = (x,x)(y,y) - (x,y)2 for all x,y E ]Rn. 4 Here (,) denotes the usual inner product (also known as 'dot product') in Rn, namely, {(x},...,xn), (Yl,...,Yn») = XIYl xnyn. In,this article '.' corresponds to multiplication in the algebra sense, not the inner product. Thus, the usual 'cross product' on R3 is a vector product in this sense. The map II : R x R ---+ ]R, given by II (x, y) = 0 for all x, y E R, is clearly a vector product on R. It is also not difficult to see that this is the only vector product on nt Consider]R7 as the 'imaginary' subspace of]r8 = 0, i.e., -RE-S-O-N-A-N-C-E--I -Ja-n-u-a-rY ~~
5 R7 also has a vector product like R3 ]R7 = SpanjR({el,.,e7})' Define v(x,y) (= x x y). the imaginary part of x' y. Then v satisfies (3) and (4). So, we have a vector product on jr7 also. These vector products on ]R3 and ]R7 have the following properties: x x y = -y x x, (5) When we replace R by c we lose the ordering but we gain the Fundamental Theorem of Algebra, namely, "every nonconstant polynomial over c has a zero in c ". And hence (thanks to the commutative property), a polynomial of degree n has exactly {if you count property} n zeros. When we consider R 4 we lose commutative property but we gain something. A polynomial may have infinitely many zeros. What a gain! x x (ay+bz) = (ax) X y+(bx) x z = x x (ay)+x x (bz), (6) IIxl12 = (x, x) = -x x, (7) (x, y) = - real part of x y and (8) x y = -(x,y) + x >< y (9) for all a, b E lr and x, y, z E lr n where n = 3 or 7. Here is the vector product table on ]R7 X el e2 e3 e4 e5 e6 e7 el 0 e4 e7 -e2 e6 -e5 -e3 e2 -e4 0 e5 el -e3 e7 -e6 e3 -e7 -e5 0 e6 e2 -e4 el e4 e2 -el -e6. 0 e7 e3 -e5 e5 -e6 e3 -e2 -e7 0 el e4 e6 e5 -e7 e4 -e3 -el 0 e2 e7 e3 e6 -el e5 -e4 -e2 0 This table also gives (see (9)) the multiplication in O. Question: Does there exist integer n other than 1, 3 and 7 for which lr n has a vector product? This question is again answered by the following theorem. Theorem L: jrp has a vector product if and only if p E {I, 3, 7}. Sums of Squares Formulae We all know the sums of squares formulae (a~ + a~)(a~ + a~) = Al = alai - a2a2 and (10) ~~ R-E-S-O-N-A-N-C-E-I-J-a-nu-a-~
6 So, product of sums of squares of integers is a sum of square of two integers. (10) follows from the fact that (11) for any two complex numbers z and w. As the multiplication in lh[ is also norm preserving, if we take quaternions in place of complex numbers in (11) we get 5 = where Al = alo::l - a20::2 - a30::3 - a40::4 A2 = a10::2 + a a a40::3 (12) Similarly, from norm preserving octonian multiplication we get 5 Euler discovered formula (12) in 1748, much earlier than Hamilton's invention of quaternions, while investigating the theorem (later proved by Lagrange in 1869) that 'every positive integer is a sum of four integral squares'. Euler showed, by proving formula (12), that it is sufficient to prove the theorem for every prime. So, Euler knew quaternion multiplication! where AI,,As are given by [AI. As] = [at. as] [M] (13) eq 0'2 03 0'4 05 0'6 0'7 as [M] = os 0'3-07 0'6 0::4-0' ' as 0'7-0'4 as 0'6 0'1-0'7-0'3 0'5-0' os ' os 0' os -0'5 0'4 0'2 0'1-0'3 -as '2-0'6 0'5 0'3 0'1 Observe that, for n = 2,4 and 8, AI,..,An are linear in ai,.,an and also in 01,.,On in (10), (12) and (13) respectively. So, it is natural to ask for the values of n for which there exists an identity of the form (a~ a~)( a~ + + a~) = A~ A~, where AI,.,An are linear in -R-ES-O-N-A-N--CE--I-J-Q-nu-Q-r-Y ~~
7 al,-,, an and also in ai",, an. In 1896, A Hurwitz proved the following: Theorem S: If there exists an identity of the form (a~ +.. +a~)(a~+... +a~) = A~+... +A~, where AI,.., An are linear functions of.al,..., an and ai,.., an then n = 1,2,4 or 8. 6 A map 1 : R m x R n _ RP is called bilinear if f(alal + a2a 2, f3) = al/(al, f3)+ a2/(a2, f3) and I(a, bl /3l + b2f32) = bl/(a, /3d+b2/(a, /32) for all a, ai, a2 E Rm /3,/31,/32 E JR.n andal,a2,bl, b2 E JR.. Address for Correspondence Bosudeb Datta Department of Mathematics Indian Institute of Science Bongolore , India. dottob@moth.iisc.ernet.in In 1923, A Hurwitz proved the following stronger result (Theorem N). Any positive integer n can be expressed uniquely as: n = 2 4 0:+.8(21'+1), where 0 ~ (3 ~ 3. Let k(n) := for that n. Theorem N:If there exists a bilinear 6 map such that f : JR.m X JR.n -4 JR.n such that IIf(y,x)1I = liyll'lixli for ally E IR m and x E JR.n then m ~ k(n). Remark: In fact, Hurwitz showed (for a different proof see pages 140 and 156 in Husemoller) that for each n there is a bilinear map f : JR.m x JR.n -4 JR.n satisfying II f (y, x) II = liyll IIxll for m = k(n) but not for bigger m. Theorem N also follows from another theorem of Adams. We will discuss all the proofs in Part 2 of this article. Suggested Reading D HusemoUer. FibreBtmdla. Springer-Verlag, ~ I I' Nowadays superelastic alloys are available that behave like rubber and are able to endure huge elastic deformations - two orders of magnitude greater than ordinary metals. On the other hand, many kinds of alloys can be brought to a super-elastic state, when they flow under very low pressure like heated glues. Quantum Kaleidoscope. pp.33. Sept-Oct, ~~ ISO---NAN---Cl--I-~-n-u-a-~
Hypercomplex numbers
Hypercomplex numbers Johanna Rämö Queen Mary, University of London j.ramo@qmul.ac.uk We have gradually expanded the set of numbers we use: first from finger counting to the whole set of positive integers,
More informationBott Periodicity and Clifford Algebras
Bott Periodicity and Clifford Algebras Kyler Siegel November 27, 2012 Contents 1 Introduction 1 2 Clifford Algebras 3 3 Vector Fields on Spheres 6 4 Division Algebras 7 1 Introduction Recall for that a
More information2x 1 7. A linear congruence in modular arithmetic is an equation of the form. Why is the solution a set of integers rather than a unique integer?
Chapter 3: Theory of Modular Arithmetic 25 SECTION C Solving Linear Congruences By the end of this section you will be able to solve congruence equations determine the number of solutions find the multiplicative
More informationOctonions? A non-associative geometric algebra. Benjamin Prather. October 19, Florida State University Department of Mathematics
A non-associative geometric algebra Benjamin Florida State University Department of Mathematics October 19, 2017 Let K be a field with 1 1 Let V be a vector space over K. Let, : V V K. Definition V is
More informationSubalgebras of the Split Octonions
Subalgebras of the Split Octonions Lida Bentz July 27, 2017 CONTENTS CONTENTS Contents 1 Introduction 3 1.1 Complex numbers......................... 3 1.2 Quaternions............................ 3 1.3
More informationQUATERNIONS 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 informationSums of squares, the octonions, and (7, 3, 1)
Sums of squares, the octonions, and (7, 3, 1) Ezra Virginia Tech MD/DC/VA Spring Section Meeting Stevenson University April 14, 2012 What To Expect Sums of squares Normed algebras (7, 3, 1) 1-, 2- and
More informationM3P14 LECTURE NOTES 8: QUADRATIC RINGS AND EUCLIDEAN DOMAINS
M3P14 LECTURE NOTES 8: QUADRATIC RINGS AND EUCLIDEAN DOMAINS 1. The Gaussian Integers Definition 1.1. The ring of Gaussian integers, denoted Z[i], is the subring of C consisting of all complex numbers
More information2x 1 7. A linear congruence in modular arithmetic is an equation of the form. Why is the solution a set of integers rather than a unique integer?
Chapter 3: Theory of Modular Arithmetic 25 SECTION C Solving Linear Congruences By the end of this section you will be able to solve congruence equations determine the number of solutions find the multiplicative
More informationThe Quaternions. The Quaternions. John Huerta. Department of Mathematics UC Riverside. Cal State Stanislaus
John Huerta Department of Mathematics UC Riverside Cal State Stanislaus The Complex Numbers The complex numbers C form a plane. Their operations are very related to two dimensional geometry. In particular,
More informationChapter 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 informationQuadratics. Shawn Godin. Cairine Wilson S.S Orleans, ON October 14, 2017
Quadratics Shawn Godin Cairine Wilson S.S Orleans, ON Shawn.Godin@ocdsb.ca October 14, 2017 Shawn Godin (Cairine Wilson S.S.) Quadratics October 14, 2017 1 / 110 Binary Quadratic Form A form is a homogeneous
More informationPart 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 informationThe Quaternions & Octonions: A Basic introduction to Their Algebras. By: Kyle McAllister. Boise State University
The Quaternions & Octonions: A Basic introduction to Their Algebras By: Kyle McAllister Boise State University McAllister The Quaternions and Octonions have a storied history, one with a restless supporter,
More informationLinear Algebra. Workbook
Linear Algebra Workbook Paul Yiu Department of Mathematics Florida Atlantic University Last Update: November 21 Student: Fall 2011 Checklist Name: A B C D E F F G H I J 1 2 3 4 5 6 7 8 9 10 xxx xxx xxx
More informationSums of four squares and Waring s Problem Brandon Lukas
Sums of four squares and Waring s Problem Brandon Lukas Introduction The four-square theorem states that every natural number can be represented as the sum of at most four integer squares. Look at the
More informationA Little Beyond: Linear Algebra
A Little Beyond: Linear Algebra Akshay Tiwary March 6, 2016 Any suggestions, questions and remarks are welcome! 1 A little extra Linear Algebra 1. Show that any set of non-zero polynomials in [x], no two
More informationQuaternion 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 informationDo we need Number Theory? II. Václav Snášel
Do we need Number Theory? II Václav Snášel What is a number? MCDXIX 664554 0xABCD 01717 010101010111011100001 i i 1 + 1 1! + 1 2! + 1 3! + 1 4! + VŠB-TUO, Ostrava 2014 2 References Z. I. Borevich, I. R.
More informationGENERAL ARTICLE Realm of Matrices
Realm of Matrices Exponential and Logarithm Functions Debapriya Biswas Debapriya Biswas is an Assistant Professor at the Department of Mathematics, IIT- Kharagpur, West Bengal, India. Her areas of interest
More informationsin(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 information5.1 Monomials. Algebra 2
. Monomials Algebra Goal : A..: Add, subtract, multiply, and simplify polynomials and rational expressions (e.g., multiply (x ) ( x + ); simplify 9x x. x Goal : Write numbers in scientific notation. Scientific
More informationA Generalization of Wilson s Theorem
A Generalization of Wilson s Theorem R. Andrew Ohana June 3, 2009 Contents 1 Introduction 2 2 Background Algebra 2 2.1 Groups................................. 2 2.2 Rings.................................
More informationP.6 Complex Numbers. -6, 5i, 25, -7i, 5 2 i + 2 3, i, 5-3i, i. DEFINITION Complex Number. Operations with Complex Numbers
SECTION P.6 Complex Numbers 49 P.6 Complex Numbers What you ll learn about Complex Numbers Operations with Complex Numbers Complex Conjugates and Division Complex Solutions of Quadratic Equations... and
More informationRings. EE 387, Notes 7, Handout #10
Rings EE 387, Notes 7, Handout #10 Definition: A ring is a set R with binary operations, + and, that satisfy the following axioms: 1. (R, +) is a commutative group (five axioms) 2. Associative law for
More informationChapter 2. Polynomial and Rational Functions. 2.5 Zeros of Polynomial Functions
Chapter 2 Polynomial and Rational Functions 2.5 Zeros of Polynomial Functions 1 / 33 23 Chapter 2 Homework 2.5 p335 6, 8, 10, 12, 16, 20, 24, 28, 32, 34, 38, 42, 46, 50, 52 2 / 33 23 3 / 33 23 Objectives:
More informationLinear Algebra. Min Yan
Linear Algebra Min Yan January 2, 2018 2 Contents 1 Vector Space 7 1.1 Definition................................. 7 1.1.1 Axioms of Vector Space..................... 7 1.1.2 Consequence of Axiom......................
More informationDefinitions. Notations. Injective, Surjective and Bijective. Divides. Cartesian Product. Relations. Equivalence Relations
Page 1 Definitions Tuesday, May 8, 2018 12:23 AM Notations " " means "equals, by definition" the set of all real numbers the set of integers Denote a function from a set to a set by Denote the image of
More informationDivision Algebras. Konrad Voelkel
Division Algebras Konrad Voelkel 2015-01-27 Contents 1 Big Picture 1 2 Algebras 2 2.1 Finite fields................................... 2 2.2 Algebraically closed fields........................... 2 2.3
More information5 Group theory. 5.1 Binary operations
5 Group theory This section is an introduction to abstract algebra. This is a very useful and important subject for those of you who will continue to study pure mathematics. 5.1 Binary operations 5.1.1
More informationCOURSE SUMMARY FOR MATH 504, FALL QUARTER : MODERN ALGEBRA
COURSE SUMMARY FOR MATH 504, FALL QUARTER 2017-8: MODERN ALGEBRA JAROD ALPER Week 1, Sept 27, 29: Introduction to Groups Lecture 1: Introduction to groups. Defined a group and discussed basic properties
More informationSection 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 informationGroup, Rings, and Fields Rahul Pandharipande. I. Sets Let S be a set. The Cartesian product S S is the set of ordered pairs of elements of S,
Group, Rings, and Fields Rahul Pandharipande I. Sets Let S be a set. The Cartesian product S S is the set of ordered pairs of elements of S, A binary operation φ is a function, S S = {(x, y) x, y S}. φ
More informationFrom the Heisenberg group to Carnot groups
From the Heisenberg group to Carnot groups p. 1/47 From the Heisenberg group to Carnot groups Irina Markina, University of Bergen, Norway Summer school Analysis - with Applications to Mathematical Physics
More informationCOMMUNICATIONS IN ALGEBRA, 15(3), (1987) A NOTE ON PRIME IDEALS WHICH TEST INJECTIVITY. John A. Beachy and William D.
COMMUNICATIONS IN ALGEBRA, 15(3), 471 478 (1987) A NOTE ON PRIME IDEALS WHICH TEST INJECTIVITY John A. Beachy and William D. Weakley Department of Mathematical Sciences Northern Illinois University DeKalb,
More informationComplex Numbers. The Imaginary Unit i
292 Chapter 2 Polynomial and Rational Functions SECTION 2.1 Complex Numbers Objectives Add and subtract complex numbers. Multiply complex numbers. Divide complex numbers. Perform operations with square
More informationFast Polynomial Multiplication
Fast Polynomial Multiplication Marc Moreno Maza CS 9652, October 4, 2017 Plan Primitive roots of unity The discrete Fourier transform Convolution of polynomials The fast Fourier transform Fast convolution
More informationMath 413/513 Chapter 6 (from Friedberg, Insel, & Spence)
Math 413/513 Chapter 6 (from Friedberg, Insel, & Spence) David Glickenstein December 7, 2015 1 Inner product spaces In this chapter, we will only consider the elds R and C. De nition 1 Let V be a vector
More informationRings, Integral Domains, and Fields
Rings, Integral Domains, and Fields S. F. Ellermeyer September 26, 2006 Suppose that A is a set of objects endowed with two binary operations called addition (and denoted by + ) and multiplication (denoted
More informationLecture 7.5: Euclidean domains and algebraic integers
Lecture 7.5: Euclidean domains and algebraic integers Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 4120, Modern Algebra M. Macauley
More informationVector Spaces. Chapter 1
Chapter 1 Vector Spaces Linear algebra is the study of linear maps on finite-dimensional vector spaces. Eventually we will learn what all these terms mean. In this chapter we will define vector spaces
More informationELEMENTARY LINEAR ALGEBRA
ELEMENTARY LINEAR ALGEBRA K. R. MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND Second Online Version, December 1998 Comments to the author at krm@maths.uq.edu.au Contents 1 LINEAR EQUATIONS
More informationLie 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 informationQuaternion. Hoon Kwon. March 13, 2010
Quaternion Hoon Kwon March 13, 2010 1 Abstract The concept of Quaternion is introduced here through the group and ring theory. The relationship between complex numbers (Gaussian Integers) and Quaternions
More informationQuaternions and Octonions
Quaternions and Octonions Alberto Elduque Universidad de Zaragoza 1 Real and complex numbers 2 Quaternions 3 Rotations in three-dimensional space 4 Octonions 2 / 32 1 Real and complex numbers 2 Quaternions
More informationON DIVISION ALGEBRAS*
ON DIVISION ALGEBRAS* BY J. H. M. WEDDERBURN 1. The object of this paper is to develop some of the simpler properties of division algebras, that is to say, linear associative algebras in which division
More informationQuantum Mechanics- I Prof. Dr. S. Lakshmi Bala Department of Physics Indian Institute of Technology, Madras
Quantum Mechanics- I Prof. Dr. S. Lakshmi Bala Department of Physics Indian Institute of Technology, Madras Lecture - 6 Postulates of Quantum Mechanics II (Refer Slide Time: 00:07) In my last lecture,
More informationChuck Garner, Ph.D. May 25, 2009 / Georgia ARML Practice
Some Chuck, Ph.D. Department of Mathematics Rockdale Magnet School for Science Technology May 25, 2009 / Georgia ARML Practice Outline 1 2 3 4 Outline 1 2 3 4 Warm-Up Problem Problem Find all positive
More informationEXERCISES. a b = a + b l aq b = ab - (a + b) + 2. a b = a + b + 1 n0i) = oii + ii + fi. A. Examples of Rings. C. Ring of 2 x 2 Matrices
/ rings definitions and elementary properties 171 EXERCISES A. Examples of Rings In each of the following, a set A with operations of addition and multiplication is given. Prove that A satisfies all the
More informationA Matricial Perpective of Wedderburn s Little Theorem
International Journal of Algebra, Vol 5, 2011, no 27, 1305-1311 A Matricial Perpective of Wedderburn s Little Theorem Celino Miguel Instituto de Telecomunucações Pólo de Coimbra Laboratório da Covilhã
More informationChapter 14: Divisibility and factorization
Chapter 14: Divisibility and factorization Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 4120, Summer I 2014 M. Macauley (Clemson) Chapter
More informationA few exercises. 1. Show that f(x) = x 4 x 2 +1 is irreducible in Q[x]. Find its irreducible factorization in
A few exercises 1. Show that f(x) = x 4 x 2 +1 is irreducible in Q[x]. Find its irreducible factorization in F 2 [x]. solution. Since f(x) is a primitive polynomial in Z[x], by Gauss lemma it is enough
More informationHopf Fibrations. Consider a classical magnetization field in R 3 which is longitidinally stiff and transversally soft.
Helmut Eschrig Leibniz-Institut für Festkörper- und Werkstofforschung Dresden Leibniz-Institute for Solid State and Materials Research Dresden Hopf Fibrations Consider a classical magnetization field in
More informationAlgebraic structures I
MTH5100 Assignment 1-10 Algebraic structures I For handing in on various dates January March 2011 1 FUNCTIONS. Say which of the following rules successfully define functions, giving reasons. For each one
More informationLATTICE AND BOOLEAN ALGEBRA
2 LATTICE AND BOOLEAN ALGEBRA This chapter presents, lattice and Boolean algebra, which are basis of switching theory. Also presented are some algebraic systems such as groups, rings, and fields. 2.1 ALGEBRA
More informationAn eightfold path to E 8
An eightfold path to E 8 Robert A. Wilson First draft 17th November 2008; this version 29th April 2012 Introduction Finite-dimensional real reflection groups were classified by Coxeter [2]. In two dimensions,
More informationProblems in Linear Algebra and Representation Theory
Problems in Linear Algebra and Representation Theory (Most of these were provided by Victor Ginzburg) The problems appearing below have varying level of difficulty. They are not listed in any specific
More informationManoj K. Keshari 1 and Satya Mandal 2.
K 0 of hypersurfaces defined by x 2 1 +... + x 2 n = ±1 Manoj K. Keshari 1 and Satya Mandal 2 1 Department of Mathematics, IIT Mumbai, Mumbai - 400076, India 2 Department of Mathematics, University of
More informationDERIVATIONS. Introduction to non-associative algebra. Playing havoc with the product rule? BERNARD RUSSO University of California, Irvine
DERIVATIONS Introduction to non-associative algebra OR Playing havoc with the product rule? PART VI COHOMOLOGY OF LIE ALGEBRAS BERNARD RUSSO University of California, Irvine FULLERTON COLLEGE DEPARTMENT
More information9. Integral Ring Extensions
80 Andreas Gathmann 9. Integral ing Extensions In this chapter we want to discuss a concept in commutative algebra that has its original motivation in algebra, but turns out to have surprisingly many applications
More informationA Brief History of Ring Theory. by Kristen Pollock Abstract Algebra II, Math 442 Loyola College, Spring 2005
A Brief History of Ring Theory by Kristen Pollock Abstract Algebra II, Math 442 Loyola College, Spring 2005 A Brief History of Ring Theory Kristen Pollock 2 1. Introduction In order to fully define and
More informationPart 1. For any A-module, let M[x] denote the set of all polynomials in x with coefficients in M, that is to say expressions of the form
Commutative Algebra Homework 3 David Nichols Part 1 Exercise 2.6 For any A-module, let M[x] denote the set of all polynomials in x with coefficients in M, that is to say expressions of the form m 0 + m
More informationMATH 361: NUMBER THEORY FOURTH LECTURE
MATH 361: NUMBER THEORY FOURTH LECTURE 1. Introduction Everybody knows that three hours after 10:00, the time is 1:00. That is, everybody is familiar with modular arithmetic, the usual arithmetic of the
More informationOn the computational complexity of mathematical functions
On the computational complexity of mathematical functions Jean-Pierre Demailly Institut Fourier, Université de Grenoble I & Académie des Sciences, Paris (France) November 26, 2011 KVPY conference at Vijyoshi
More informationQuaternion Algebras. Edgar Elliott. May 1, 2016
Quaternion Algebras Edgar Elliott May 1, 2016 Copyright (C) 2016 Edgar Elliott. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License,
More informationMATH 4400 SOLUTIONS TO SOME EXERCISES. 1. Chapter 1
MATH 4400 SOLUTIONS TO SOME EXERCISES 1.1.3. If a b and b c show that a c. 1. Chapter 1 Solution: a b means that b = na and b c that c = mb. Substituting b = na gives c = (mn)a, that is, a c. 1.2.1. Find
More informationFactoring. Number Theory # 2
1 Number Theory # 2 Factoring In the last homework problem, it takes many steps of the Euclidean algorithm to find that the gcd of the two numbers is 1. However, if we had initially observed that 11384623=5393*2111,
More informationAssignment 1 Math 5341 Linear Algebra Review. Give complete answers to each of the following questions. Show all of your work.
Assignment 1 Math 5341 Linear Algebra Review Give complete answers to each of the following questions Show all of your work Note: You might struggle with some of these questions, either because it has
More informationHomework #2 solutions Due: June 15, 2012
All of the following exercises are based on the material in the handout on integers found on the class website. 1. Find d = gcd(475, 385) and express it as a linear combination of 475 and 385. That is
More information4.4 Noetherian Rings
4.4 Noetherian Rings Recall that a ring A is Noetherian if it satisfies the following three equivalent conditions: (1) Every nonempty set of ideals of A has a maximal element (the maximal condition); (2)
More informationALGEBRAIC GEOMETRY COURSE NOTES, LECTURE 2: HILBERT S NULLSTELLENSATZ.
ALGEBRAIC GEOMETRY COURSE NOTES, LECTURE 2: HILBERT S NULLSTELLENSATZ. ANDREW SALCH 1. Hilbert s Nullstellensatz. The last lecture left off with the claim that, if J k[x 1,..., x n ] is an ideal, then
More informationPart IX ( 45-47) Factorization
Part IX ( 45-47) Factorization Satya Mandal University of Kansas, Lawrence KS 66045 USA January 22 45 Unique Factorization Domain (UFD) Abstract We prove evey PID is an UFD. We also prove if D is a UFD,
More informationSmall Data, Mid data, Big Data vs. Algebra, Analysis, and Topology
Small Data, Mid data, Big Data vs. Algebra, Analysis, and Topology Xiang-Gen Xia I have been thinking about big data in the last a few years since it has become a hot topic. On most of the time I have
More informationAugust 2015 Qualifying Examination Solutions
August 2015 Qualifying Examination Solutions If you have any difficulty with the wording of the following problems please contact the supervisor immediately. All persons responsible for these problems,
More informationMODEL ANSWERS TO HWK #7. 1. Suppose that F is a field and that a and b are in F. Suppose that. Thus a = 0. It follows that F is an integral domain.
MODEL ANSWERS TO HWK #7 1. Suppose that F is a field and that a and b are in F. Suppose that a b = 0, and that b 0. Let c be the inverse of b. Multiplying the equation above by c on the left, we get 0
More informationQuaternions and the four-square theorem
Quaternions and the four-square theorem Background on Hamilton s Quaternions We have the complex numbers C = {a + b i : a, b R} an their integral analogue, [i] = {a + bi : a, b R}, the Gaussian integers,
More informationTHE DIFFERENT IDEAL. Then R n = V V, V = V, and V 1 V 2 V KEITH CONRAD 2 V
THE DIFFERENT IDEAL KEITH CONRAD. Introduction The discriminant of a number field K tells us which primes p in Z ramify in O K : the prime factors of the discriminant. However, the way we have seen how
More informationIntroduction to Elliptic Curves
IAS/Park City Mathematics Series Volume XX, XXXX Introduction to Elliptic Curves Alice Silverberg Introduction Why study elliptic curves? Solving equations is a classical problem with a long history. Starting
More informationPhysics Complex numbers
Physics 2-4 Complex numbers Complex Numbers One of the themes throughout the history of mathematics was the expansion of what one regarded as numbers. Mathematics began with counting the positive integers.
More informationQUARTERNIONS AND THE FOUR SQUARE THEOREM
QUARTERNIONS AND THE FOUR SQUARE THEOREM JIA HONG RAY NG Abstract. The Four Square Theorem was proved by Lagrange in 1770: every positive integer is the sum of at most four squares of positive integers,
More informationA Note on Powers in Finite Fields
Downloaded from orbit.dtu.dk on: Jul 11, 2018 A Note on Powers in Finite Fields Aabrandt, Andreas; Hansen, Vagn Lundsgaard Published in: International Journal of Mathematical Education in Science and Technology
More informationFrobenius and His Density Theorem for Primes
Frobenius and His Density Theorem for Primes Introduction B Sury Our starting point is the following problem which appeared in the recent IMO (International Mathematical Olympiad) 9 If p is a prime number,
More informationPart IX. Factorization
IX.45. Unique Factorization Domains 1 Part IX. Factorization Section IX.45. Unique Factorization Domains Note. In this section we return to integral domains and concern ourselves with factoring (with respect
More informationMODEL ANSWERS TO THE FIRST HOMEWORK
MODEL ANSWERS TO THE FIRST HOMEWORK 1. Chapter 4, 1: 2. Suppose that F is a field and that a and b are in F. Suppose that a b = 0, and that b 0. Let c be the inverse of b. Multiplying the equation above
More informationThe Work of Lagrange in Number Theory and Algebra
GENERAL I ARTICLE The Work of Lagrange in Number Theory and Algebra D P Patil, C R Pranesachar and Renuka RafJindran Joseph Louis Lagrange, a French mathematician, worked on a variety of topics - Algebra
More informationINTRODUCTION TO LIE ALGEBRAS. LECTURE 1.
INTRODUCTION TO LIE ALGEBRAS. LECTURE 1. 1. Algebras. Derivations. Definition of Lie algebra 1.1. Algebras. Let k be a field. An algebra over k (or k-algebra) is a vector space A endowed with a bilinear
More informationChapter 2. Vectors and Vector Spaces
2.1. Operations on Vectors 1 Chapter 2. Vectors and Vector Spaces Section 2.1. Operations on Vectors Note. In this section, we define several arithmetic operations on vectors (especially, vector addition
More informationRings If R is a commutative ring, a zero divisor is a nonzero element x such that xy = 0 for some nonzero element y R.
Rings 10-26-2008 A ring is an abelian group R with binary operation + ( addition ), together with a second binary operation ( multiplication ). Multiplication must be associative, and must distribute over
More information3.9 My Irrational and Imaginary Friends A Solidify Understanding Task
3.9 My Irrational and Imaginary Friends A Solidify Understanding Task Part 1: Irrational numbers Find the perimeter of each of the following figures. Express your answer as simply as possible. 2013 www.flickr.com/photos/lel4nd
More informationMATH 431 PART 2: POLYNOMIAL RINGS AND FACTORIZATION
MATH 431 PART 2: POLYNOMIAL RINGS AND FACTORIZATION 1. Polynomial rings (review) Definition 1. A polynomial f(x) with coefficients in a ring R is n f(x) = a i x i = a 0 + a 1 x + a 2 x 2 + + a n x n i=0
More informationConvex Analysis and Economic Theory Winter 2018
Division of the Humanities and Social Sciences Ec 181 KC Border Convex Analysis and Economic Theory Winter 2018 Topic 0: Vector spaces 0.1 Basic notation Here are some of the fundamental sets and spaces
More informationChapter 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 information8 Primes and Modular Arithmetic
8 Primes and Modular Arithmetic 8.1 Primes and Factors Over two millennia ago already, people all over the world were considering the properties of numbers. One of the simplest concepts is prime numbers.
More informationA while back, we saw that hai with hai = 42 and Z 42 had basically the same structure, and said the groups were isomorphic, in some sense the same.
CHAPTER 6 Isomorphisms A while back, we saw that hai with hai = 42 and Z 42 had basically the same structure, and said the groups were isomorphic, in some sense the same. Definition (Group Isomorphism).
More informationALGEBRA II: RINGS AND MODULES OVER LITTLE RINGS.
ALGEBRA II: RINGS AND MODULES OVER LITTLE RINGS. KEVIN MCGERTY. 1. RINGS The central characters of this course are algebraic objects known as rings. A ring is any mathematical structure where you can add
More informationA field F is a set of numbers that includes the two numbers 0 and 1 and satisfies the properties:
Byte multiplication 1 Field arithmetic A field F is a set of numbers that includes the two numbers 0 and 1 and satisfies the properties: F is an abelian group under addition, meaning - F is closed under
More informationDeepening Mathematics Instruction for Secondary Teachers: Algebraic Structures
Deepening Mathematics Instruction for Secondary Teachers: Algebraic Structures Lance Burger Fresno State Preliminary Edition Contents Preface ix 1 Z The Integers 1 1.1 What are the Integers?......................
More informationOctonions, Cubes, Embeddings. Martin H. Weissman
Octonions, Cubes, Embeddings Martin H. Weissman March 2, 2009 Let k be a field, with char(k) 2. A Hurwitz algebra over k is a finite-dimensional, unital, k-algebra A, together with a quadratic form N :
More informationUNCORRECTED SAMPLE PAGES. Extension 1. The binomial expansion and. Digital resources for this chapter
15 Pascal s In Chapter 10 we discussed the factoring of a polynomial into irreducible factors, so that it could be written in a form such as P(x) = (x 4) 2 (x + 1) 3 (x 2 + x + 1). In this chapter we will
More informationRing Theory Problems. A σ
Ring Theory Problems 1. Given the commutative diagram α A σ B β A σ B show that α: ker σ ker σ and that β : coker σ coker σ. Here coker σ = B/σ(A). 2. Let K be a field, let V be an infinite dimensional
More information