On the Algebraic Theory of Fields
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Field Theory Pete L. Clark
Field Theory Pete L. Clark Thanks to Asvin Gothandaraman and David Krumm for pointing out errors in these notes. Contents About These Notes 7 Some Conventions 9 Chapter 1. Introduction to Fields 11 Chapter 2. Some Examples of Fields 13 1. Examples From Undergraduate Mathematics 13 2. Fields of Fractions 14 3. Fields of Functions 17 4. Completion 18 Chapter 3. Field Extensions 23 1. Introduction 23 2. Some Impossible Constructions 26 3. Subfields of Algebraic Numbers 27 4. Distinguished Classes 29 Chapter 4. Normal Extensions 31 1. Algebraically closed fields 31 2. Existence of algebraic closures 32 3. The Magic Mapping Theorem 35 4. Conjugates 36 5. Splitting Fields 37 6. Normal Extensions 37 7. The Extension Theorem 40 8. Isaacs' Theorem 40 Chapter 5. Separable Algebraic Extensions 41 1. Separable Polynomials 41 2. Separable Algebraic Field Extensions 44 3. Purely Inseparable Extensions 46 4. Structural Results on Algebraic Extensions 47 Chapter 6. Norms, Traces and Discriminants 51 1. Dedekind's Lemma on Linear Independence of Characters 51 2. The Characteristic Polynomial, the Trace and the Norm 51 3. The Trace Form and the Discriminant 54 Chapter 7. The Primitive Element Theorem 57 1. The Alon-Tarsi Lemma 57 2. The Primitive Element Theorem and its Corollary 57 3 4 CONTENTS Chapter 8. Galois Extensions 61 1. Introduction 61 2. Finite Galois Extensions 63 3. An Abstract Galois Correspondence 65 4. The Finite Galois Correspondence 68 5. The Normal Basis Theorem 70 6. Hilbert's Theorem 90 72 7. Infinite Algebraic Galois Theory 74 8. A Characterization of Normal Extensions 75 Chapter 9. -
MATH5725 Lecture Notes∗ Typed by Charles Qin October 2007
MATH5725 Lecture Notes∗ Typed By Charles Qin October 2007 1 Genesis Of Galois Theory Definition 1.1 (Radical Extension). A field extension K/F is radical if there is a tower of ri field extensions F = F0 ⊆ F1 ⊆ F2 ⊆ ... ⊆ Fn = K where Fi+1 = Fi(αi), αi ∈ Fi for some + ri ∈ Z . 2 Splitting Fields Proposition-Definition 2.1 (Field Homomorphism). A map of fields σ : F −→ F 0 is a field homomorphism if it is a ring homomorphism. We also have: (i) σ is injective (ii) σ[x]: F [x] −→ F 0[x] is a ring homomorphism where n n X i X i σ[x]( fix ) = σ(fi)x i=1 i=1 Proposition 2.1. K = F [x]/hp(x)i is a field extension of F via composite ring homomor- phism F,−→ F [x] −→ F [x]/hp(x)i. Also K = F (α) where α = x + hp(x)i is a root of p(x). Proposition 2.2. Let σ : F −→ F 0 be a field isomorphism (a bijective field homomorphism). Let p(x) ∈ F [x] be irreducible. Let α and α0 be roots of p(x) and (σp)(x) respectively (in appropriate field extensions). Then there is a field extensionσ ˜ : F (α) −→ F 0(α0) such that: (i)σ ˜ extends σ, i.e.σ ˜|F = σ (ii)σ ˜(α) = α0 Definition 2.1 (Splitting Field). Let F be a field and f(x) ∈ F [x]. A field extension K/F is a splitting field for f(x) over F if: ∗The following notes were based on Dr Daniel Chan’s MATH5725 lectures in semester 2, 2007 1 (i) f(x) factors into linear polynomials over K (ii) K = F (α1, α2, . -
Lecture Notes in Galois Theory
Lecture Notes in Galois Theory Lectures by Dr Sheng-Chi Liu Throughout these notes, signifies end proof, and N signifies end of example. Table of Contents Table of Contents i Lecture 1 Review of Group Theory 1 1.1 Groups . 1 1.2 Structure of cyclic groups . 2 1.3 Permutation groups . 2 1.4 Finitely generated abelian groups . 3 1.5 Group actions . 3 Lecture 2 Group Actions and Sylow Theorems 5 2.1 p-Groups . 5 2.2 Sylow theorems . 6 Lecture 3 Review of Ring Theory 7 3.1 Rings . 7 3.2 Solutions to algebraic equations . 10 Lecture 4 Field Extensions 12 4.1 Algebraic and transcendental numbers . 12 4.2 Algebraic extensions . 13 Lecture 5 Algebraic Field Extensions 14 5.1 Minimal polynomials . 14 5.2 Composites of fields . 16 5.3 Algebraic closure . 16 Lecture 6 Algebraic Closure 17 6.1 Existence of algebraic closure . 17 Lecture 7 Field Embeddings 19 7.1 Uniqueness of algebraic closure . 19 Lecture 8 Splitting Fields 22 8.1 Lifts are not unique . 22 Notes by Jakob Streipel. Last updated December 6, 2019. i TABLE OF CONTENTS ii Lecture 9 Normal Extensions 23 9.1 Splitting fields and normal extensions . 23 Lecture 10 Separable Extension 26 10.1 Separable degree . 26 Lecture 11 Simple Extensions 26 11.1 Separable extensions . 26 11.2 Simple extensions . 29 Lecture 12 Simple Extensions, continued 30 12.1 Primitive element theorem, continued . 30 Lecture 13 Normal and Separable Closures 30 13.1 Normal closure . 31 13.2 Separable closure . 31 13.3 Finite fields . -
Complex Number
Nature and Science, 4(2), 2006, Wikipedia, Complex number Complex Number From Wikipedia, the free encyclopedia, http://en.wikipedia.org/wiki/Complex_number Editor: Ma Hongbao Department of Medicine, Michigan State University, East Lansing, Michigan, USA. [email protected] Abstract: For the recent issues of Nature and Science, there are several articles that discussed the numbers. To offer the references to readers on this discussion, we got the information from the free encyclopedia Wikipedia and introduce it here. Briefly, complex numbers are added, subtracted, and multiplied by formally applying the associative, commutative and distributive laws of algebra. The set of complex numbers forms a field which, in contrast to the real numbers, is algebraically closed. In mathematics, the adjective "complex" means that the field of complex numbers is the underlying number field considered, for example complex analysis, complex matrix, complex polynomial and complex Lie algebra. The formally correct definition using pairs of real numbers was given in the 19th century. A complex number can be viewed as a point or a position vector on a two-dimensional Cartesian coordinate system called the complex plane or Argand diagram. The complex number is expressed in this article. [Nature and Science. 2006;4(2):71-78]. Keywords: add; complex number; multiply; subtract Editor: For the recnet issues of Nature and Science, field considered, for example complex analysis, there are several articles that discussed the numbers. To complex matrix, complex polynomial and complex Lie offer the references to readers on this discussion, we got algebra. the information from the free encyclopedia Wikipedia and introduce it here (Wikimedia Foundation, Inc. -
Geometry on Grassmannians and Applications to Splitting Bundles and Smoothing Cycles
PUBLICATIONS MATHÉMATIQUES DE L’I.H.É.S. STEVEN L. KLEIMAN Geometry on grassmannians and applications to splitting bundles and smoothing cycles Publications mathématiques de l’I.H.É.S., tome 36 (1969), p. 281-297. <http://www.numdam.org/item?id=PMIHES_1969__36__281_0> © Publications mathématiques de l’I.H.É.S., 1969, tous droits réservés. L’accès aux archives de la revue « Publications mathématiques de l’I.H.É.S. » (http://www. ihes.fr/IHES/Publications/Publications.html), implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/legal.php). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fi- chier doit contenir la présente mention de copyright. Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques http://www.numdam.org/ GEOMETRY ON GRASSMANNIANS AND APPLICATIONS TO SPLITTING BUNDLES AND SMOOTHING CYCLES by STEVEN L. KLEIMAN (1) INTRODUCTION Let k be an algebraically closed field, V a smooth ^-dimensional subscheme of projective space over A:, and consider the following problems: Problem 1 (splitting bundles). — Given a (vector) bundle G on V, find a monoidal transformation f \ V'->V with smooth center CT such thatyG contains a line bundle P. Problem 2 (smoothing cycles). — Given a cycle Z on V, deform Z by rational equivalence into the difference Z^ — Zg of two effective cycles whose prime components are all smooth. Strengthened form. — Given any finite number of irreducible subschemes V, of V, choose a (resp. Z^, Zg) such that for all i, the intersection V^n a (resp. -
Section 1.2 – Mathematical Models: a Catalog of Essential Functions
Section 1-2 © Sandra Nite Math 131 Lecture Notes Section 1.2 – Mathematical Models: A Catalog of Essential Functions A mathematical model is a mathematical description of a real-world situation. Often the model is a function rule or equation of some type. Modeling Process Real-world Formulate Test/Check problem Real-world Mathematical predictions model Interpret Mathematical Solve conclusions Linear Models Characteristics: • The graph is a line. • In the form y = f(x) = mx + b, m is the slope of the line, and b is the y-intercept. • The rate of change (slope) is constant. • When the independent variable ( x) in a table of values is sequential (same differences), the dependent variable has successive differences that are the same. • The linear parent function is f(x) = x, with D = ℜ = (-∞, ∞) and R = ℜ = (-∞, ∞). • The direct variation function is a linear function with b = 0 (goes through the origin). • In a direct variation function, it can be said that f(x) varies directly with x, or f(x) is directly proportional to x. Example: See pp. 26-28 of the text. 1 Section 1-2 © Sandra Nite Polynomial Functions = n + n−1 +⋅⋅⋅+ 2 + + A function P is called a polynomial if P(x) an x an−1 x a2 x a1 x a0 where n is a nonnegative integer and a0 , a1 , a2 ,..., an are constants called the coefficients of the polynomial. If the leading coefficient an ≠ 0, then the degree of the polynomial is n. Characteristics: • The domain is the set of all real numbers D = (-∞, ∞). • If the degree is odd, the range R = (-∞, ∞). -
1 Absolute Values and Valuations
Algebra in positive Characteristic Fr¨uhjahrssemester 08 Lecturer: Prof. R. Pink Organizer: P. Hubschmid Absolute values, valuations and completion F. Crivelli ([email protected]) April 21, 2008 Introduction During this talk I’ll introduce the basic definitions and some results about valuations, absolute values of fields and completions. These notions will give two basic examples: the rational function field Fq(T ) and the field Qp of the p-adic numbers. 1 Absolute values and valuations All along this section, K denote a field. 1.1 Absolute values We begin with a well-known Definition 1. An absolute value of K is a function | | : K → R satisfying these properties, ∀ x, y ∈ K: 1. |x| = 0 ⇔ x = 0, 2. |x| ≥ 0, 3. |xy| = |x| |y|, 4. |x + y| ≤ |x| + |y|. (Triangle inequality) Note that if we set |x| = 1 for all 0 6= x ∈ K and |0| = 0, we have an absolute value on K, called the trivial absolute value. From now on, when we speak about an absolute value | |, we assume that | | is non-trivial. Moreover, if we define d : K × K → R by d(x, y) = |x − y|, x, y ∈ K, d is a metric on K and we have a topological structure on K. We have also some basic properties that we can deduce directly from the definition of an absolute value. 1 Lemma 1. Let | | be an absolute value on K. We have 1. |1| = 1, 2. |ζ| = 1, for all ζ ∈ K with ζd = 1 for some 0 6= d ∈ N (ζ is a root of unity), 3. -
Arxiv:2010.01281V1 [Math.NT] 3 Oct 2020 Extensions
CONSTRUCTIONS USING GALOIS THEORY CLAUS FIEKER AND NICOLE SUTHERLAND Abstract. We describe algorithms to compute fixed fields, minimal degree splitting fields and towers of radical extensions using Galois group computations. We also describe the computation of geometric Galois groups and their use in computing absolute factorizations. 1. Introduction This article discusses some computational applications of Galois groups. The main Galois group algorithm we use has been previously discussed in [FK14] for number fields and [Sut15, KS21] for function fields. These papers, respectively, detail an algorithm which has no degree restrictions on input polynomials and adaptations of this algorithm for polynomials over function fields. Some of these details are reused in this paper and we will refer to the appropriate sections of the previous papers when this occurs. Prior to the development of this Galois group algorithm, there were a number of algorithms to compute Galois groups which improved on each other by increasing the degree of polynomials they could handle. The lim- itations on degree came from the use of tabulated information which is no longer necessary. Galois Theory has its beginning in the attempt to solve polynomial equa- tions by radicals. It is reasonable to expect then that we could use the computation of Galois groups for this purpose. As Galois groups are closely connected to splitting fields, it is worthwhile to consider how the computa- tion of a Galois group can aid the computation of a splitting field. In solving a polynomial by radicals we compute a splitting field consisting of a tower of radical extensions. We describe an algorithm to compute splitting fields in general as towers of extensions using the Galois group. -
Lecture 2 : Algebraic Extensions I Objectives
Lecture 2 : Algebraic Extensions I Objectives (1) Main examples of fields to be studied. (2) The minimal polynomial of an algebraic element. (3) Simple field extensions and their degree. Key words and phrases: Number field, function field, algebraic element, transcendental element, irreducible polynomial of an algebraic element, al- gebraic extension. The main examples of fields that we consider are : (1) Number fields: A number field F is a subfield of C. Any such field contains the field Q of rational numbers. (2) Finite fields : If K is a finite field, we consider : Z ! K; (1) = 1. Since K is finite, ker 6= 0; hence it is a prime ideal of Z, say generated by a prime number p. Hence Z=pZ := Fp is isomorphic to a subfield of K. The finite field Fp is called the prime field of K: (3) Function fields: Let x be an indeteminate and C(x) be the field of rational functions, i.e. it consists of p(x)=q(x) where p(x); q(x) are poly- nomials and q(x) 6= 0. Let f(x; y) 2 C[x; y] be an irreducible polynomial. Suppose f(x; y) is not a polynomial in x alone and write n n−1 f(x; y) = y + a1(x)y + ··· + an(x); ai(x) 2 C[x]: By Gauss' lemma f(x; y) 2 C(x)[y] is an irreducible polynomial. Thus (f(x; y)) is a maximal ideal of C(x)[y]=(f(x; y)) is a field. K is called the 2 function field of the curve defined by f(x; y) = 0 in C . -
Chapter 2 Affine Algebraic Geometry
Chapter 2 Affine Algebraic Geometry 2.1 The Algebraic-Geometric Dictionary The correspondence between algebra and geometry is closest in affine algebraic geom- etry, where the basic objects are solutions to systems of polynomial equations. For many applications, it suffices to work over the real R, or the complex numbers C. Since important applications such as coding theory or symbolic computation require finite fields, Fq , or the rational numbers, Q, we shall develop algebraic geometry over an arbitrary field, F, and keep in mind the important cases of R and C. For algebraically closed fields, there is an exact and easily motivated correspondence be- tween algebraic and geometric concepts. When the field is not algebraically closed, this correspondence weakens considerably. When that occurs, we will use the case of algebraically closed fields as our guide and base our definitions on algebra. Similarly, the strongest and most elegant results in algebraic geometry hold only for algebraically closed fields. We will invoke the hypothesis that F is algebraically closed to obtain these results, and then discuss what holds for arbitrary fields, par- ticularly the real numbers. Since many important varieties have structures which are independent of the field of definition, we feel this approach is justified—and it keeps our presentation elementary and motivated. Lastly, for the most part it will suffice to let F be R or C; not only are these the most important cases, but they are also the sources of our geometric intuitions. n Let A denote affine n-space over F. This is the set of all n-tuples (t1,...,tn) of elements of F. -
Lectures on Complete Discrete Valuation Fields
Lectures on Complete Discrete Valuation Fields 1: Discrete Valuation Fields (1.1). Valuations. One can generalize the properties of the -adic valuation ¡£¢ and proceed to the concept of valuation. Let Γ be an additively written totally ordered abelian group. Add Γ ¥§¦ ¤ ¤¨¦ ¤ ¥ ¤ ¤ to a formal element + ¤ with the properties + , + + , + (+ ) = + , Γ Γ Γ ¤ ¤ ¥ © ¤ (+ ¤ ) + (+ ) = + , for each ; denote = + . Γ A map ¡ : with the properties ¤ ¡ ( ) = + = 0 ¡ ¡ ¡ ( ) = ( ) + ( ) ¡ ¡ ¡ ( + ) min( ( ) ( )) ¡ is said to be a valuation on ; in this case is said to be a valuation field. The map induces Γ Γ ¡ a homomorphism of to and its value group ( ) is a totally ordered subgroup of . ¡ ¡ If ¡ ( ) = 0 , then is called the trivial valuation. It is easy to show that ( 1) = 0, and if !¡ ¡ ( ) ( ), then ¡ "¡ # ¡ "¡ ¡ ¡ ( ) min( ( + ) ( )) min( ( ) ( )) = ( ); $ ¡ ¡ ¡ ¡ thus, if ¡ ( ) = ( ) then ( + ) = min( ( ) ( )). %'& £(©) ¡ * £(©+ ¡ , * & (1.2). Basic Objects. Let = : ( ) 0 , & = : ( ) 0 . Then %'& coincides with the set of non-invertible elements of %-& . Therefore, is a local ring with the * % ¡ & unique maximal ideal & ; is called the ring of integers (with respect to ), and the field .& %-&0/1* 2©)%'& = & is called the residue field, or residue class field. The image of an element .& in .& is denoted by , it is called the residue of in . The set of invertible elements of %'& 34& %-&56* is a multiplicative group = & , it is called the group of units. 798;:-:-<= $ , & Assume that char( ) = char( & ). Then char( ) = 0 and char( ) = 0. $ .& Proof. Suppose that char( ) = = 0. Then = 0 in and therefore in . Hence = char( .& ). <A:'BDCE8;FHGAIKJ0<LC£MN<PORQSGATAFU<LTNVWJ0<LC£MN<PORQSGAT+I1QS8;C£VLFE= (1.3). >@? ¡ 1. A valuation ¡ on is said to be discrete if the totally ordered group ( ) is isomorphic to the naturally ordered group X . -
Graduate Texts in Mathematics 204
Graduate Texts in Mathematics 204 Editorial Board S. Axler F.W. Gehring K.A. Ribet Springer Science+Business Media, LLC Graduate Texts in Mathematics TAKEUTIlZARING.lntroduction to 34 SPITZER. Principles of Random Walk. Axiomatic Set Theory. 2nd ed. 2nded. 2 OxrOBY. Measure and Category. 2nd ed. 35 Al.ExANDERIWERMER. Several Complex 3 SCHAEFER. Topological Vector Spaces. Variables and Banach Algebras. 3rd ed. 2nded. 36 l<ELLEyINAMIOKA et al. Linear Topological 4 HILTON/STAMMBACH. A Course in Spaces. Homological Algebra. 2nd ed. 37 MONK. Mathematical Logic. 5 MAc LANE. Categories for the Working 38 GRAUERT/FRlTZSCHE. Several Complex Mathematician. 2nd ed. Variables. 6 HUGHEs/Pn>ER. Projective Planes. 39 ARVESON. An Invitation to C*-Algebras. 7 SERRE. A Course in Arithmetic. 40 KEMENY/SNELLIKNAPP. Denumerable 8 T AKEUTIlZARING. Axiomatic Set Theory. Markov Chains. 2nd ed. 9 HUMPHREYS. Introduction to Lie Algebras 41 APOSTOL. Modular Functions and and Representation Theory. Dirichlet Series in Number Theory. 10 COHEN. A Course in Simple Homotopy 2nded. Theory. 42 SERRE. Linear Representations of Finite II CONWAY. Functions of One Complex Groups. Variable I. 2nd ed. 43 GILLMAN/JERISON. Rings of Continuous 12 BEALS. Advanced Mathematical Analysis. Functions. 13 ANDERSoN/FULLER. Rings and Categories 44 KENDIG. Elementary Algebraic Geometry. of Modules. 2nd ed. 45 LoEVE. Probability Theory I. 4th ed. 14 GoLUBITSKy/GUILLEMIN. Stable Mappings 46 LoEVE. Probability Theory II. 4th ed. and Their Singularities. 47 MorSE. Geometric Topology in 15 BERBERIAN. Lectures in Functional Dimensions 2 and 3. Analysis and Operator Theory. 48 SACHs/WU. General Relativity for 16 WINTER. The Structure of Fields. Mathematicians. 17 ROSENBLATT.