1. Complex Numbers a Complex Number Z Is Defined As an Ordered
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Math 651 Homework 1 - Algebras and Groups Due 2/22/2013
Math 651 Homework 1 - Algebras and Groups Due 2/22/2013 1) Consider the Lie Group SU(2), the group of 2 × 2 complex matrices A T with A A = I and det(A) = 1. The underlying set is z −w jzj2 + jwj2 = 1 (1) w z with the standard S3 topology. The usual basis for su(2) is 0 i 0 −1 i 0 X = Y = Z = (2) i 0 1 0 0 −i (which are each i times the Pauli matrices: X = iσx, etc.). a) Show this is the algebra of purely imaginary quaternions, under the commutator bracket. b) Extend X to a left-invariant field and Y to a right-invariant field, and show by computation that the Lie bracket between them is zero. c) Extending X, Y , Z to global left-invariant vector fields, give SU(2) the metric g(X; X) = g(Y; Y ) = g(Z; Z) = 1 and all other inner products zero. Show this is a bi-invariant metric. d) Pick > 0 and set g(X; X) = 2, leaving g(Y; Y ) = g(Z; Z) = 1. Show this is left-invariant but not bi-invariant. p 2) The realification of an n × n complex matrix A + −1B is its assignment it to the 2n × 2n matrix A −B (3) BA Any n × n quaternionic matrix can be written A + Bk where A and B are complex matrices. Its complexification is the 2n × 2n complex matrix A −B (4) B A a) Show that the realification of complex matrices and complexifica- tion of quaternionic matrices are algebra homomorphisms. -
Niobrara County School District #1 Curriculum Guide
NIOBRARA COUNTY SCHOOL DISTRICT #1 CURRICULUM GUIDE th SUBJECT: Math Algebra II TIMELINE: 4 quarter Domain: Student Friendly Level of Resource Academic Standard: Learning Objective Thinking Correlation/Exemplar Vocabulary [Assessment] [Mathematical Practices] Domain: Perform operations on matrices and use matrices in applications. Standards: N-VM.6.Use matrices to I can represent and Application Pearson Alg. II Textbook: Matrix represent and manipulated data, e.g., manipulate data to represent --Lesson 12-2 p. 772 (Matrices) to represent payoffs or incidence data. M --Concept Byte 12-2 p. relationships in a network. 780 Data --Lesson 12-5 p. 801 [Assessment]: --Concept Byte 12-2 p. 780 [Mathematical Practices]: Niobrara County School District #1, Fall 2012 Page 1 NIOBRARA COUNTY SCHOOL DISTRICT #1 CURRICULUM GUIDE th SUBJECT: Math Algebra II TIMELINE: 4 quarter Domain: Student Friendly Level of Resource Academic Standard: Learning Objective Thinking Correlation/Exemplar Vocabulary [Assessment] [Mathematical Practices] Domain: Perform operations on matrices and use matrices in applications. Standards: N-VM.7. Multiply matrices I can multiply matrices by Application Pearson Alg. II Textbook: Scalars by scalars to produce new matrices, scalars to produce new --Lesson 12-2 p. 772 e.g., as when all of the payoffs in a matrices. M --Lesson 12-5 p. 801 game are doubled. [Assessment]: [Mathematical Practices]: Domain: Perform operations on matrices and use matrices in applications. Standards:N-VM.8.Add, subtract and I can perform operations on Knowledge Pearson Alg. II Common Matrix multiply matrices of appropriate matrices and reiterate the Core Textbook: Dimensions dimensions. limitations on matrix --Lesson 12-1p. 764 [Assessment]: dimensions. -
Complex Eigenvalues
Quantitative Understanding in Biology Module III: Linear Difference Equations Lecture II: Complex Eigenvalues Introduction In the previous section, we considered the generalized two- variable system of linear difference equations, and showed that the eigenvalues of these systems are given by the equation… ± 2 4 = 1,2 2 √ − …where b = (a11 + a22), c=(a22 ∙ a11 – a12 ∙ a21), and ai,j are the elements of the 2 x 2 matrix that define the linear system. Inspecting this relation shows that it is possible for the eigenvalues of such a system to be complex numbers. Because our plants and seeds model was our first look at these systems, it was carefully constructed to avoid this complication [exercise: can you show that http://www.xkcd.org/179 this model cannot produce complex eigenvalues]. However, many systems of biological interest do have complex eigenvalues, so it is important that we understand how to deal with and interpret them. We’ll begin with a review of the basic algebra of complex numbers, and then consider their meaning as eigenvalues of dynamical systems. A Review of Complex Numbers You may recall that complex numbers can be represented with the notation a+bi, where a is the real part of the complex number, and b is the imaginary part. The symbol i denotes 1 (recall i2 = -1, i3 = -i and i4 = +1). Hence, complex numbers can be thought of as points on a complex plane, which has real √− and imaginary axes. In some disciplines, such as electrical engineering, you may see 1 represented by the symbol j. √− This geometric model of a complex number suggests an alternate, but equivalent, representation. -
Formal Power Series - Wikipedia, the Free Encyclopedia
Formal power series - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Formal_power_series Formal power series From Wikipedia, the free encyclopedia In mathematics, formal power series are a generalization of polynomials as formal objects, where the number of terms is allowed to be infinite; this implies giving up the possibility to substitute arbitrary values for indeterminates. This perspective contrasts with that of power series, whose variables designate numerical values, and which series therefore only have a definite value if convergence can be established. Formal power series are often used merely to represent the whole collection of their coefficients. In combinatorics, they provide representations of numerical sequences and of multisets, and for instance allow giving concise expressions for recursively defined sequences regardless of whether the recursion can be explicitly solved; this is known as the method of generating functions. Contents 1 Introduction 2 The ring of formal power series 2.1 Definition of the formal power series ring 2.1.1 Ring structure 2.1.2 Topological structure 2.1.3 Alternative topologies 2.2 Universal property 3 Operations on formal power series 3.1 Multiplying series 3.2 Power series raised to powers 3.3 Inverting series 3.4 Dividing series 3.5 Extracting coefficients 3.6 Composition of series 3.6.1 Example 3.7 Composition inverse 3.8 Formal differentiation of series 4 Properties 4.1 Algebraic properties of the formal power series ring 4.2 Topological properties of the formal power series -
Chapter 10 Orderings and Valuations
Chapter 10 Orderings and valuations 10.1 Ordered fields and their natural valuations One of the main examples for group valuations was the natural valuation of an ordered abelian group. Let us upgrade ordered groups. A field K together with a relation < is called an ordered field and < is called an ordering of K if its additive group together with < is an ordered abelian group and the ordering is compatible with the multiplication: (OM) 0 < x ^ 0 < y =) 0 < xy . For the positive cone of an ordered field, the corresponding additional axiom is: (PC·)P · P ⊂ P . Since −P·−P = P·P ⊂ P, all squares of K and thus also all sums of squares are contained in P. Since −1 2 −P and P \ −P = f0g, it follows that −1 2= P and in particular, −1 is not a sum of squares. From this, we see that the characteristic of an ordered field must be zero (if it would be p > 0, then −1 would be the sum of p − 1 1's and hence a sum of squares). Since the correspondence between orderings and positive cones is bijective, we may identify the ordering with its positive cone. In this sense, XK will denote the set of all orderings resp. positive cones of K. Let us consider the natural valuation of the additive ordered group of the ordered field (K; <). Through the definition va+vb := vab, its value set vK becomes an ordered abelian group and v becomes a homomorphism from the multiplicative group of K onto vK. We have obtained the natural valuation of the ordered field (K; <). -
Chapter 1 the Field of Reals and Beyond
Chapter 1 The Field of Reals and Beyond Our goal with this section is to develop (review) the basic structure that character- izes the set of real numbers. Much of the material in the ¿rst section is a review of properties that were studied in MAT108 however, there are a few slight differ- ences in the de¿nitions for some of the terms. Rather than prove that we can get from the presentation given by the author of our MAT127A textbook to the previous set of properties, with one exception, we will base our discussion and derivations on the new set. As a general rule the de¿nitions offered in this set of Compan- ion Notes will be stated in symbolic form this is done to reinforce the language of mathematics and to give the statements in a form that clari¿es how one might prove satisfaction or lack of satisfaction of the properties. YOUR GLOSSARIES ALWAYS SHOULD CONTAIN THE (IN SYMBOLIC FORM) DEFINITION AS GIVEN IN OUR NOTES because that is the form that will be required for suc- cessful completion of literacy quizzes and exams where such statements may be requested. 1.1 Fields Recall the following DEFINITIONS: The Cartesian product of two sets A and B, denoted by A B,is a b : a + A F b + B . 1 2 CHAPTER 1. THE FIELD OF REALS AND BEYOND A function h from A into B is a subset of A B such that (i) 1a [a + A " 2bb + B F a b + h] i.e., dom h A,and (ii) 1a1b1c [a b + h F a c + h " b c] i.e., h is single-valued. -
COMPLEX EIGENVALUES Math 21B, O. Knill
COMPLEX EIGENVALUES Math 21b, O. Knill NOTATION. Complex numbers are written as z = x + iy = r exp(iφ) = r cos(φ) + ir sin(φ). The real number r = z is called the absolute value of z, the value φ isjthej argument and denoted by arg(z). Complex numbers contain the real numbers z = x+i0 as a subset. One writes Re(z) = x and Im(z) = y if z = x + iy. ARITHMETIC. Complex numbers are added like vectors: x + iy + u + iv = (x + u) + i(y + v) and multiplied as z w = (x + iy)(u + iv) = xu yv + i(yu xv). If z = 0, one can divide 1=z = 1=(x + iy) = (x iy)=(x2 + y2). ∗ − − 6 − ABSOLUTE VALUE AND ARGUMENT. The absolute value z = x2 + y2 satisfies zw = z w . The argument satisfies arg(zw) = arg(z) + arg(w). These are direct jconsequencesj of the polarj represenj j jtationj j z = p r exp(iφ); w = s exp(i ); zw = rs exp(i(φ + )). x GEOMETRIC INTERPRETATION. If z = x + iy is written as a vector , then multiplication with an y other complex number w is a dilation-rotation: a scaling by w and a rotation by arg(w). j j THE DE MOIVRE FORMULA. zn = exp(inφ) = cos(nφ) + i sin(nφ) = (cos(φ) + i sin(φ))n follows directly from z = exp(iφ) but it is magic: it leads for example to formulas like cos(3φ) = cos(φ)3 3 cos(φ) sin2(φ) which would be more difficult to come by using geometrical or power series arguments. -
Factorization in Generalized Power Series
TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 352, Number 2, Pages 553{577 S 0002-9947(99)02172-8 Article electronically published on May 20, 1999 FACTORIZATION IN GENERALIZED POWER SERIES ALESSANDRO BERARDUCCI Abstract. The field of generalized power series with real coefficients and ex- ponents in an ordered abelian divisible group G is a classical tool in the study of real closed fields. We prove the existence of irreducible elements in the 0 ring R((G≤ )) consisting of the generalized power series with non-positive exponents. The following candidate for such an irreducible series was given 1=n by Conway (1976): n t− + 1. Gonshor (1986) studied the question of the existence of irreducible elements and obtained necessary conditions for a series to be irreducible.P We show that Conway’s series is indeed irreducible. Our results are based on a new kind of valuation taking ordinal numbers as values. If G =(R;+;0; ) we can give the following test for irreducibility based only on the order type≤ of the support of the series: if the order type α is either ! or of the form !! and the series is not divisible by any mono- mial, then it is irreducible. To handle the general case we use a suggestion of M.-H. Mourgues, based on an idea of Gonshor, which allows us to reduce to the special case G = R. In the final part of the paper we study the irreducibility of series with finite support. 1. Introduction 1.1. Fields of generalized power series. Generalized power series with expo- nents in an arbitrary abelian ordered group are a classical tool in the study of valued fields and ordered fields [Hahn 07, MacLane 39, Kaplansky 42, Fuchs 63, Ribenboim 68, Ribenboim 92]. -
Properties of the Real Numbers Drexel University PGSA Informal Talks
Properties of the real numbers Drexel University PGSA Informal Talks Sam Kennerly January 2012 ★ We’ve used the real number line since elementary school, but that’s not the same as defining it. ★ We’ll review the synthetic approach with Hilbert’s definition of R as the complete ordered field. 1 Confession: I was an undergrad mathematics major. Why bother? ★ Physical theories often require explicit or implicit assumptions about real numbers. ★ Quantum mechanics assumes that physical measurement results are eigenvalues of a Hermitian operator, which must be real numbers. State vectors and wavefunctions can be complex. Are they physically “real”? wavefunctions and magnitudes ★ Special relativity can use imaginary time, which is related to Wick rotation in some quantum gravity theories. Is imaginary time unphysical? (SR can also be described without imaginary time. Misner, Thorne & Wheeler recommend never using ıct as a time coordinate.) ★ Is spacetime discrete or continuous? Questions like these require a rigorous definition of “real.” imaginary time? 2 Spin networks in loop quantum gravity assume discrete time evolution. Mini-biography of David Hilbert ★ First to use phrase “complete ordered field.” ★ Published Einstein’s GR equation before Einstein! (For details, look up Einstein-Hilbert action.) ★ Chairman of the Göttingen mathematics department, which had enormous influence on modern physics. (Born, Landau, Minkowski, Noether, von Neumann, Wigner, Weyl, et al.) ★ Ahead of his time re: racism, sexism, nationalism. “Mathematics knows no races or geographic boundaries.” “We are a university, not a bath house.” (in support of hiring Noether) David Hilbert in 1912 Minister Rust: "How is mathematics in Göttingen now that it has been freed of the Jewish influence?” Hilbert: “There is really none any more.” ★ Hilbert-style formalism (my paraphrasing): 1. -
Complex Numbers Sigma-Complex3-2009-1 in This Unit We Describe Formally What Is Meant by a Complex Number
Complex numbers sigma-complex3-2009-1 In this unit we describe formally what is meant by a complex number. First let us revisit the solution of a quadratic equation. Example Use the formula for solving a quadratic equation to solve x2 10x +29=0. − Solution Using the formula b √b2 4ac x = − ± − 2a with a =1, b = 10 and c = 29, we find − 10 p( 10)2 4(1)(29) x = ± − − 2 10 √100 116 x = ± − 2 10 √ 16 x = ± − 2 Now using i we can find the square root of 16 as 4i, and then write down the two solutions of the equation. − 10 4 i x = ± =5 2 i 2 ± The solutions are x = 5+2i and x =5-2i. Real and imaginary parts We have found that the solutions of the equation x2 10x +29=0 are x =5 2i. The solutions are known as complex numbers. A complex number− such as 5+2i is made up± of two parts, a real part 5, and an imaginary part 2. The imaginary part is the multiple of i. It is common practice to use the letter z to stand for a complex number and write z = a + b i where a is the real part and b is the imaginary part. Key Point If z is a complex number then we write z = a + b i where i = √ 1 − where a is the real part and b is the imaginary part. www.mathcentre.ac.uk 1 c mathcentre 2009 Example State the real and imaginary parts of 3+4i. -
Real Closed Fields
University of Montana ScholarWorks at University of Montana Graduate Student Theses, Dissertations, & Professional Papers Graduate School 1968 Real closed fields Yean-mei Wang Chou The University of Montana Follow this and additional works at: https://scholarworks.umt.edu/etd Let us know how access to this document benefits ou.y Recommended Citation Chou, Yean-mei Wang, "Real closed fields" (1968). Graduate Student Theses, Dissertations, & Professional Papers. 8192. https://scholarworks.umt.edu/etd/8192 This Thesis is brought to you for free and open access by the Graduate School at ScholarWorks at University of Montana. It has been accepted for inclusion in Graduate Student Theses, Dissertations, & Professional Papers by an authorized administrator of ScholarWorks at University of Montana. For more information, please contact [email protected]. EEAL CLOSED FIELDS By Yean-mei Wang Chou B.A., National Taiwan University, l96l B.A., University of Oregon, 19^5 Presented in partial fulfillment of the requirements for the degree of Master of Arts UNIVERSITY OF MONTANA 1968 Approved by: Chairman, Board of Examiners raduate School Date Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. UMI Number: EP38993 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. UMI OwMTtation PVblmhing UMI EP38993 Published by ProQuest LLC (2013). Copyright in the Dissertation held by the Author. -
Inner Product Spaces
CHAPTER 6 Woman teaching geometry, from a fourteenth-century edition of Euclid’s geometry book. Inner Product Spaces In making the definition of a vector space, we generalized the linear structure (addition and scalar multiplication) of R2 and R3. We ignored other important features, such as the notions of length and angle. These ideas are embedded in the concept we now investigate, inner products. Our standing assumptions are as follows: 6.1 Notation F, V F denotes R or C. V denotes a vector space over F. LEARNING OBJECTIVES FOR THIS CHAPTER Cauchy–Schwarz Inequality Gram–Schmidt Procedure linear functionals on inner product spaces calculating minimum distance to a subspace Linear Algebra Done Right, third edition, by Sheldon Axler 164 CHAPTER 6 Inner Product Spaces 6.A Inner Products and Norms Inner Products To motivate the concept of inner prod- 2 3 x1 , x 2 uct, think of vectors in R and R as x arrows with initial point at the origin. x R2 R3 H L The length of a vector in or is called the norm of x, denoted x . 2 k k Thus for x .x1; x2/ R , we have The length of this vector x is p D2 2 2 x x1 x2 . p 2 2 x1 x2 . k k D C 3 C Similarly, if x .x1; x2; x3/ R , p 2D 2 2 2 then x x1 x2 x3 . k k D C C Even though we cannot draw pictures in higher dimensions, the gener- n n alization to R is obvious: we define the norm of x .x1; : : : ; xn/ R D 2 by p 2 2 x x1 xn : k k D C C The norm is not linear on Rn.