Lecture #19 of 24 ∼ November 16Th, 2020
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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. -
1 Spring 2002 – Galois Theory
1 Spring 2002 – Galois Theory Problem 1.1. Let F7 be the field with 7 elements and let L be the splitting field of the 171 polynomial X − 1 = 0 over F7. Determine the degree of L over F7, explaining carefully the principles underlying your computation. Solution: Note that 73 = 49 · 7 = 343, so × 342 [x ∈ (F73 ) ] =⇒ [x − 1 = 0], × since (F73 ) is a multiplicative group of order 342. Also, F73 contains all the roots of x342 − 1 = 0 since the number of roots of a polynomial cannot exceed its degree (by the Division Algorithm). Next note that 171 · 2 = 342, so [x171 − 1 = 0] ⇒ [x171 = 1] ⇒ [x342 − 1 = 0]. 171 This implies that all the roots of X − 1 are contained in F73 and so L ⊂ F73 since L can 171 be obtained from F7 by adjoining all the roots of X − 1. We therefore have F73 ——L——F7 | {z } 3 and so L = F73 or L = F7 since 3 = [F73 : F7] = [F73 : L][L : F7] is prime. Next if × 2 171 × α ∈ (F73 ) , then α is a root of X − 1. Also, (F73 ) is cyclic and hence isomorphic to 2 Z73 = {0, 1, 2,..., 342}, so the map α 7→ α on F73 has an image of size bigger than 7: 2α = 2β ⇔ 2(α − β) = 0 in Z73 ⇔ α − β = 171. 171 We therefore conclude that X − 1 has more than 7 distinct roots and hence L = F73 . • Splitting Field: A splitting field of a polynomial f ∈ K[x](K a field) is an extension L of K such that f decomposes into linear factors in L[x] and L is generated over K by the roots of f. -
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. -
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 -
11. Counting Automorphisms Definition 11.1. Let L/K Be a Field
11. Counting Automorphisms Definition 11.1. Let L=K be a field extension. An automorphism of L=K is simply an automorphism of L which fixes K. Here, when we say that φ fixes K, we mean that the restriction of φ to K is the identity, that is, φ extends the identity; in other words we require that φ fixes every point of K and not just the whole subset. Definition-Lemma 11.2. Let L=K be a field extension. The Galois group of L=K, denoted Gal(L=K), is the subgroup of the set of all functions from L to L, which are automorphisms over K. Proof. The only thing to prove is that the composition and inverse of an automorphism over K is an automorphism, which is left as an easy exercise to the reader. The key issue is to establish that the Galois group has enough ele- ments. Proposition 11.3. Let L=K be a finite normal extension and let M be an intermediary field. TFAE (1) M=K is normal. (2) For every automorphism φ of L=K, φ(M) ⊂ M. (3) For every automorphism φ of L=K, φ(M) = M. Proof. Suppose (1) holds. Let φ be any automorphism of L=K. Pick α 2 M and set φ(α) = β. Then β is a root of the minimum polynomial m of α. As M=K is normal, and α is a root of m(x), m(x) splits in M. In particular β 2 M. Thus (1) implies (2). -
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). -
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. -
Math 200B Winter 2021 Final –With Selected Solutions
MATH 200B WINTER 2021 FINAL {WITH SELECTED SOLUTIONS 1. Let F be a field. Let A 2 Mn(F ). Let f = minpolyF (A) 2 F [x]. (a). Let F be the algebraic closure of F . Show that minpolyF (A) = f. (b). Show that A is diagonalizable over F (that is, A is similar in Mn(F ) to a diagonal matrix) if and only if f is a separable polynomial. 2 3 1 1 1 6 7 (c). Let A = 41 1 15 2 M3(F ). Is A diagonalizable over F ? The answer may depend 1 1 1 on the properties of F . Most students did well on this problem. For those that missed part (a), the key is to use that the minpoly is the largest invariant factor, and that invariant factors are unchanged by base field extension (since the rational canonical form must be the same regardless of the field). There is no obvious way to part (a) directly. 2. Let F ⊆ K be a field extension with [K : F ] < 1. In this problem, if you find any results from homework problems helpful you can quote them here rather than redoing them. Note that a commutative ring R is called reduced if R has no nonzero nilpotent elements. (a). Suppose that K=F is separable. Prove that the K-algebra K ⊗F K is reduced, but is not a domain unless K = F . (b). Suppose that K=F is inseparable. Show that the K-algebra K ⊗F K is not reduced. Proof. (a). Since K=F is separable, K = F (α) for some α 2 K, by the theorem of the primitive element. -
Splitting Fields
SPLITTING FIELDS KEITH CONRAD 1. Introduction When K is a field and f(T ) 2 K[T ] is nonconstant, there is a field extension K0=K in which f(T ) picks up a root, say α. Then f(T ) = (T − α)g(T ) where g(T ) 2 K0[T ] and deg g = deg f − 1. By applying the same process to g(T ) and continuing in this way finitely many times, we reach an extension L=K in which f(T ) splits into linear factors: in L[T ], f(T ) = c(T − α1) ··· (T − αn): We call the field K(α1; : : : ; αn) that is generated by the roots of f(T ) over K a splitting field of f(T ) over K. The idea is that in a splitting field we can find a full set of roots of f(T ) and no smaller field extension of K has that property. Let's look at some examples. Example 1.1. A splitting field of T 2 + 1 over R is R(i; −i) = R(i) = C. p p Example 1.2. A splitting field of T 2 − 2 over Q is Q( 2), since we pick up two roots ± 2 in the field generated by just one of the roots. A splitting field of T 2 − 2 over R is R since T 2 − 2 splits into linear factors in R[T ]. p p p p Example 1.3. In C[T ], a factorization of T 4 − 2 is (T − 4 2)(T + 4 2)(T − i 4 2)(T + i 4 2). -
Appendices a Algebraic Geometry
Appendices A Algebraic Geometry Affine varieties are ubiquitous in Differential Galois Theory. For many results (e.g., the definition of the differential Galois group and some of its basic properties) it is enough to assume that the varieties are defined over algebraically closed fields and study their properties over these fields. Yet, to understand the finer structure of Picard-Vessiot extensions it is necessary to understand how varieties behave over fields that are not necessarily algebraically closed. In this section we shall develop basic material concerning algebraic varieties taking these needs into account, while at the same time restricting ourselves only to the topics we will use. Classically, algebraic geometry is the study of solutions of systems of equations { fα(X1,... ,Xn) = 0}, fα ∈ C[X1,... ,Xn], where C is the field of complex numbers. To give the reader a taste of the contents of this appendix, we give a brief description of the algebraic geometry of Cn. Proofs of these results will be given in this appendix in a more general context. One says that a set S ⊂ Cn is an affine variety if it is precisely the set of zeros of such a system of polynomial equations. For n = 1, the affine varieties are fi- nite or all of C and for n = 2, they are the whole space or unions of points and curves (i.e., zeros of a polynomial f(X1, X2)). The collection of affine varieties is closed under finite intersection and arbitrary unions and so forms the closed sets of a topology, called the Zariski topology. -
Galois Groups of Cubics and Quartics (Not in Characteristic 2)
GALOIS GROUPS OF CUBICS AND QUARTICS (NOT IN CHARACTERISTIC 2) KEITH CONRAD We will describe a procedure for figuring out the Galois groups of separable irreducible polynomials in degrees 3 and 4 over fields not of characteristic 2. This does not include explicit formulas for the roots, i.e., we are not going to derive the classical cubic and quartic formulas. 1. Review Let K be a field and f(X) be a separable polynomial in K[X]. The Galois group of f(X) over K permutes the roots of f(X) in a splitting field, and labeling the roots as r1; : : : ; rn provides an embedding of the Galois group into Sn. We recall without proof two theorems about this embedding. Theorem 1.1. Let f(X) 2 K[X] be a separable polynomial of degree n. (a) If f(X) is irreducible in K[X] then its Galois group over K has order divisible by n. (b) The polynomial f(X) is irreducible in K[X] if and only if its Galois group over K is a transitive subgroup of Sn. Definition 1.2. If f(X) 2 K[X] factors in a splitting field as f(X) = c(X − r1) ··· (X − rn); the discriminant of f(X) is defined to be Y 2 disc f = (rj − ri) : i<j In degree 3 and 4, explicit formulas for discriminants of some monic polynomials are (1.1) disc(X3 + aX + b) = −4a3 − 27b2; disc(X4 + aX + b) = −27a4 + 256b3; disc(X4 + aX2 + b) = 16b(a2 − 4b)2: Theorem 1.3. -
Lecture #22 of 24 ∼ November 30Th, 2020
Math 5111 (Algebra 1) Lecture #22 of 24 ∼ November 30th, 2020 Cyclotomic and Abelian Extensions, Galois Groups of Polynomials Cyclotomic and Abelian Extensions Constructible Polygons Galois Groups of Polynomials Symmetric Functions and Discriminants Cubic Polynomials This material represents x4.3.4-4.4.3 from the course notes. Cyclotomic and Abelian Extensions, 0 Last time, we defined the general cyclotomic polynomials and showed they were irreducible: Theorem (Irreducibility of Cyclotomic Polynomials) For any positive integer n, the cyclotomic polynomial Φn(x) is irreducible over Q, and therefore [Q(ζn): Q] = '(n). We also computed the Galois group: Theorem (Galois Group of Q(ζn)) The extension Q(ζn)=Q is Galois with Galois group isomorphic to × (Z=nZ) . Explicitly, the elements of the Galois group are the × a automorphisms σa for a 2 (Z=nZ) acting via σa(ζn) = ζn . Cyclotomic and Abelian Extensions, I By using the structure of the Galois group we can in principle compute all of the subfields of Q(ζn). In practice, however, this tends to be computationally difficult × when the subgroup structure of (Z=nZ) is complicated. The simplest case occurs when n = p is prime, in which case ∼ × (as we have shown already) the Galois group G = (Z=pZ) is cyclic of order p − 1. In this case, let σ be a generator of the Galois group, with a × σ(ζp) = ζp where a is a generator of (Z=pZ) . Then by the Galois correspondence, the subfields of Q(ζp) are the fixed fields of σd for the divisors d of p − 1. Cyclotomic and Abelian Extensions, II We may compute an explicit generator for each of these fixed fields by exploiting the action of the Galois group on the basis 2 p−1 fζp; ζp ; : : : ; ζp g for Q(ζp)=Q.