LECTURE NOTES on GALOIS THEORY 1 1.1. Splitting Fields
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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. -
APPLICATIONS of GALOIS THEORY 1. Finite Fields Let F Be a Finite Field
CHAPTER IX APPLICATIONS OF GALOIS THEORY 1. Finite Fields Let F be a finite field. It is necessarily of nonzero characteristic p and its prime field is the field with p r elements Fp.SinceFis a vector space over Fp,itmusthaveq=p elements where r =[F :Fp]. More generally, if E ⊇ F are both finite, then E has qd elements where d =[E:F]. As we mentioned earlier, the multiplicative group F ∗ of F is cyclic (because it is a finite subgroup of the multiplicative group of a field), and clearly its order is q − 1. Hence each non-zero element of F is a root of the polynomial Xq−1 − 1. Since 0 is the only root of the polynomial X, it follows that the q elements of F are roots of the polynomial Xq − X = X(Xq−1 − 1). Hence, that polynomial is separable and F consists of the set of its roots. (You can also see that it must be separable by finding its derivative which is −1.) We q may now conclude that the finite field F is the splitting field over Fp of the separable polynomial X − X where q = |F |. In particular, it is unique up to isomorphism. We have proved the first part of the following result. Proposition. Let p be a prime. For each q = pr, there is a unique (up to isomorphism) finite field F with |F | = q. Proof. We have already proved the uniqueness. Suppose q = pr, and consider the polynomial Xq − X ∈ Fp[X]. As mentioned above Df(X)=−1sof(X) cannot have any repeated roots in any extension, i.e. -
Determining the Galois Group of a Rational Polynomial
Determining the Galois group of a rational polynomial Alexander Hulpke Department of Mathematics Colorado State University Fort Collins, CO, 80523 [email protected] http://www.math.colostate.edu/˜hulpke JAH 1 The Task Let f Q[x] be an irreducible polynomial of degree n. 2 Then G = Gal(f) = Gal(L; Q) with L the splitting field of f over Q. Problem: Given f, determine G. WLOG: f monic, integer coefficients. JAH 2 Field Automorphisms If we want to represent automorphims explicitly, we have to represent the splitting field L For example as splitting field of a polynomial g Q[x]. 2 The factors of g over L correspond to the elements of G. Note: If deg(f) = n then deg(g) n!. ≤ In practice this degree is too big. JAH 3 Permutation type of the Galois Group Gal(f) permutes the roots α1; : : : ; αn of f: faithfully (L = Spl(f) = Q(α ; α ; : : : ; α ). • 1 2 n transitively ( (x α ) is a factor of f). • Y − i i I 2 This action gives an embedding G S . The field Q(α ) corresponds ≤ n 1 to the subgroup StabG(1). Arrangement of roots corresponds to conjugacy in Sn. We want to determine the Sn-class of G. JAH 4 Assumption We can calculate “everything” about Sn. n is small (n 20) • ≤ Can use table of transitive groups (classified up to degree 30) • We can approximate the roots of f (numerically and p-adically) JAH 5 Reduction at a prime Let p be a prime that does not divide the discriminant of f (i.e. -
ON R-EXTENSIONS of ALGEBRAIC NUMBER FIELDS Let P Be a Prime
ON r-EXTENSIONS OF ALGEBRAIC NUMBER FIELDS KENKICHI IWASAWA1 Let p be a prime number. We call a Galois extension L of a field K a T-extension when its Galois group is topologically isomorphic with the additive group of £-adic integers. The purpose of the present paper is to study arithmetic properties of such a T-extension L over a finite algebraic number field K. We consider, namely, the maximal unramified abelian ^-extension M over L and study the structure of the Galois group G(M/L) of the extension M/L. Using the result thus obtained for the group G(M/L)> we then define two invariants l(L/K) and m(L/K)} and show that these invariants can be also de termined from a simple formula which gives the exponents of the ^-powers in the class numbers of the intermediate fields of K and L. Thus, giving a relation between the structure of the Galois group of M/L and the class numbers of the subfields of L, our result may be regarded, in a sense, as an analogue, for L, of the well-known theorem in classical class field theory which states that the class number of a finite algebraic number field is equal to the degree of the maximal unramified abelian extension over that field. An outline of the paper is as follows: in §1—§5, we study the struc ture of what we call T-finite modules and find, in particular, invari ants of such modules which are similar to the invariants of finite abelian groups. -
Computing Infeasibility Certificates for Combinatorial Problems Through
1 Computing Infeasibility Certificates for Combinatorial Problems through Hilbert’s Nullstellensatz Jesus´ A. De Loera Department of Mathematics, University of California, Davis, Davis, CA Jon Lee IBM T.J. Watson Research Center, Yorktown Heights, NY Peter N. Malkin Department of Mathematics, University of California, Davis, Davis, CA Susan Margulies Computational and Applied Math Department, Rice University, Houston, TX Abstract Systems of polynomial equations with coefficients over a field K can be used to concisely model combinatorial problems. In this way, a combinatorial problem is feasible (e.g., a graph is 3- colorable, hamiltonian, etc.) if and only if a related system of polynomial equations has a solu- tion over the algebraic closure of the field K. In this paper, we investigate an algorithm aimed at proving combinatorial infeasibility based on the observed low degree of Hilbert’s Nullstellensatz certificates for polynomial systems arising in combinatorics, and based on fast large-scale linear- algebra computations over K. We also describe several mathematical ideas for optimizing our algorithm, such as using alternative forms of the Nullstellensatz for computation, adding care- fully constructed polynomials to our system, branching and exploiting symmetry. We report on experiments based on the problem of proving the non-3-colorability of graphs. We successfully solved graph instances with almost two thousand nodes and tens of thousands of edges. Key words: combinatorics, systems of polynomials, feasibility, Non-linear Optimization, Graph 3-coloring 1. Introduction It is well known that systems of polynomial equations over a field can yield compact models of difficult combinatorial problems. For example, it was first noted by D. -
Techniques for the Computation of Galois Groups
Techniques for the Computation of Galois Groups Alexander Hulpke School of Mathematical and Computational Sciences, The University of St. Andrews, The North Haugh, St. Andrews, Fife KY16 9SS, United Kingdom [email protected] Abstract. This note surveys recent developments in the problem of computing Galois groups. Galois theory stands at the cradle of modern algebra and interacts with many areas of mathematics. The problem of determining Galois groups therefore is of interest not only from the point of view of number theory (for example see the article [39] in this volume), but leads to many questions in other areas of mathematics. An example is its application in computer algebra when simplifying radical expressions [32]. Not surprisingly, this task has been considered in works from number theory, group theory and algebraic geometry. In this note I shall give an overview of methods currently used. While the techniques used for the identification of Galois groups were known already in the last century [26], the involved calculations made it almost imprac- tical to do computations beyond trivial examples. Thus the problem was only taken up again in the last 25 years with the advent of computers. In this note we will restrict ourselves to the case of the base field Q. Most methods generalize to other fields like Q(t), Qp, IFp(t) or number fields. The results presented here are the work of many mathematicians. I tried to give credit by references wherever possible. 1 Introduction We are given an irreducible polynomial f Q[x] of degree n and asked to determine the Galois group of its splitting field2 L = Spl(f). -
Gsm073-Endmatter.Pdf
http://dx.doi.org/10.1090/gsm/073 Graduat e Algebra : Commutativ e Vie w This page intentionally left blank Graduat e Algebra : Commutativ e View Louis Halle Rowen Graduate Studies in Mathematics Volum e 73 KHSS^ K l|y|^| America n Mathematica l Societ y iSyiiU ^ Providence , Rhod e Islan d Contents Introduction xi List of symbols xv Chapter 0. Introduction and Prerequisites 1 Groups 2 Rings 6 Polynomials 9 Structure theories 12 Vector spaces and linear algebra 13 Bilinear forms and inner products 15 Appendix 0A: Quadratic Forms 18 Appendix OB: Ordered Monoids 23 Exercises - Chapter 0 25 Appendix 0A 28 Appendix OB 31 Part I. Modules Chapter 1. Introduction to Modules and their Structure Theory 35 Maps of modules 38 The lattice of submodules of a module 42 Appendix 1A: Categories 44 VI Contents Chapter 2. Finitely Generated Modules 51 Cyclic modules 51 Generating sets 52 Direct sums of two modules 53 The direct sum of any set of modules 54 Bases and free modules 56 Matrices over commutative rings 58 Torsion 61 The structure of finitely generated modules over a PID 62 The theory of a single linear transformation 71 Application to Abelian groups 77 Appendix 2A: Arithmetic Lattices 77 Chapter 3. Simple Modules and Composition Series 81 Simple modules 81 Composition series 82 A group-theoretic version of composition series 87 Exercises — Part I 89 Chapter 1 89 Appendix 1A 90 Chapter 2 94 Chapter 3 96 Part II. AfRne Algebras and Noetherian Rings Introduction to Part II 99 Chapter 4. Galois Theory of Fields 101 Field extensions 102 Adjoining -
Finite Field
Finite field From Wikipedia, the free encyclopedia In mathematics, a finite field or Galois field (so-named in honor of Évariste Galois) is a field that contains a finite number of elements. As with any field, a finite field is a set on which the operations of multiplication, addition, subtraction and division are defined and satisfy certain basic rules. The most common examples of finite fields are given by the integers mod n when n is a prime number. TheFinite number field - Wikipedia,of elements the of free a finite encyclopedia field is called its order. A finite field of order q exists if and only if the order q is a prime power p18/09/15k (where 12:06p is a amprime number and k is a positive integer). All fields of a given order are isomorphic. In a field of order pk, adding p copies of any element always results in zero; that is, the characteristic of the field is p. In a finite field of order q, the polynomial Xq − X has all q elements of the finite field as roots. The non-zero elements of a finite field form a multiplicative group. This group is cyclic, so all non-zero elements can be expressed as powers of a single element called a primitive element of the field (in general there will be several primitive elements for a given field.) A field has, by definition, a commutative multiplication operation. A more general algebraic structure that satisfies all the other axioms of a field but isn't required to have a commutative multiplication is called a division ring (or sometimes skewfield). -
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. -
494 Lecture: Splitting Fields and the Primitive Element Theorem
494 Lecture: Splitting fields and the primitive element theorem Ben Gould March 30, 2018 1 Splitting Fields We saw previously that for any field F and (let's say irreducible) polynomial f 2 F [x], that there is some extension K=F such that f splits over K, i.e. all of the roots of f lie in K. We consider such extensions in depth now. Definition 1.1. For F a field and f 2 F [x], we say that an extension K=F is a splitting field for f provided that • f splits completely over K, i.e. f(x) = (x − a1) ··· (x − ar) for ai 2 K, and • K is generated by the roots of f: K = F (a1; :::; ar). The second statement implies that for each β 2 K there is a polynomial p 2 F [x] such that p(a1; :::; ar) = β; in general such a polynomial is not unique (since the ai are algebraic over F ). When F contains Q, it is clear that the splitting field for f is unique (up to isomorphism of fields). In higher characteristic, one needs to construct the splitting field abstractly. A similar uniqueness result can be obtained. Proposition 1.2. Three things about splitting fields. 1. If K=L=F is a tower of fields such that K is the splitting field for some f 2 F [x], K is also the splitting field of f when considered in K[x]. 2. Every polynomial over any field (!) admits a splitting field. 3. A splitting field is a finite extension of the base field, and every finite extension is contained in a splitting field. -
Chapter 1: Complex Numbers Lecture Notes Math Section
CORE Metadata, citation and similar papers at core.ac.uk Provided by Almae Matris Studiorum Campus Chapter 1: Complex Numbers Lecture notes Math Section 1.1: Definition of Complex Numbers Definition of a complex number A complex number is a number that can be expressed in the form z = a + bi, where a and b are real numbers and i is the imaginary unit, that satisfies the equation i2 = −1. In this expression, a is the real part Re(z) and b is the imaginary part Im(z) of the complex number. The complex number a + bi can be identified with the point (a; b) in the complex plane. A complex number whose real part is zero is said to be purely imaginary, whereas a complex number whose imaginary part is zero is a real number. Ex.1 Understanding complex numbers Write the real part and the imaginary part of the following complex numbers and plot each number in the complex plane. (1) i (2) 4 + 2i (3) 1 − 3i (4) −2 Section 1.2: Operations with Complex Numbers Addition and subtraction of two complex numbers To add/subtract two complex numbers we add/subtract each part separately: (a + bi) + (c + di) = (a + c) + (b + d)i and (a + bi) − (c + di) = (a − c) + (b − d)i Ex.1 Addition and subtraction of complex numbers (1) (9 + i) + (2 − 3i) (2) (−2 + 4i) − (6 + 3i) (3) (i) − (−11 + 2i) (4) (1 + i) + (4 + 9i) Multiplication of two complex numbers To multiply two complex numbers we proceed as follows: (a + bi)(c + di) = ac + adi + bci + bdi2 = ac + adi + bci − bd = (ac − bd) + (ad + bc)i Ex.2 Multiplication of complex numbers (1) (3 + 2i)(1 + 7i) (2) (i + 1)2 (3) (−4 + 3i)(2 − 5i) 1 Chapter 1: Complex Numbers Lecture notes Math Conjugate of a complex number The complex conjugate of the complex number z = a + bi is defined to be z¯ = a − bi. -
Complex Inner Product Spaces
MATH 355 Supplemental Notes Complex Inner Product Spaces Complex Inner Product Spaces The Cn spaces The prototypical (and most important) real vector spaces are the Euclidean spaces Rn. Any study of complex vector spaces will similar begin with Cn. As a set, Cn contains vectors of length n whose entries are complex numbers. Thus, 2 i ` 3 5i C3, » ´ fi P i — ffi – fl 5, 1 is an element found both in R2 and C2 (and, indeed, all of Rn is found in Cn), and 0, 0, 0, 0 p ´ q p q serves as the zero element in C4. Addition and scalar multiplication in Cn is done in the analogous way to how they are performed in Rn, except that now the scalars are allowed to be nonreal numbers. Thus, to rescale the vector 3 i, 2 3i by 1 3i, we have p ` ´ ´ q ´ 3 i 1 3i 3 i 6 8i 1 3i ` p ´ qp ` q ´ . p ´ q « 2 3iff “ « 1 3i 2 3i ff “ « 11 3iff ´ ´ p ´ qp´ ´ q ´ ` Given the notation 3 2i for the complex conjugate 3 2i of 3 2i, we adopt a similar notation ` ´ ` when we want to take the complex conjugate simultaneously of all entries in a vector. Thus, 3 4i 3 4i ´ ` » 2i fi » 2i fi if z , then z ´ . “ “ — 2 5iffi — 2 5iffi —´ ` ffi —´ ´ ffi — 1 ffi — 1 ffi — ´ ffi — ´ ffi – fl – fl Both z and z are vectors in C4. In general, if the entries of z are all real numbers, then z z. “ The inner product in Cn In Rn, the length of a vector x ?x x is a real, nonnegative number.