Math 6370: Algebraic Number Theory
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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 -
An Introduction to Skolem's P-Adic Method for Solving Diophantine
An introduction to Skolem's p-adic method for solving Diophantine equations Josha Box July 3, 2014 Bachelor thesis Supervisor: dr. Sander Dahmen Korteweg-de Vries Instituut voor Wiskunde Faculteit der Natuurwetenschappen, Wiskunde en Informatica Universiteit van Amsterdam Abstract In this thesis, an introduction to Skolem's p-adic method for solving Diophantine equa- tions is given. The main theorems that are proven give explicit algorithms for computing bounds for the amount of integer solutions of special Diophantine equations of the kind f(x; y) = 1, where f 2 Z[x; y] is an irreducible form of degree 3 or 4 such that the ring of integers of the associated number field has one fundamental unit. In the first chapter, an introduction to algebraic number theory is presented, which includes Minkovski's theorem and Dirichlet's unit theorem. An introduction to p-adic numbers is given in the second chapter, ending with the proof of the p-adic Weierstrass preparation theorem. The theory of the first two chapters is then used to apply Skolem's method in Chapter 3. Title: An introduction to Skolem's p-adic method for solving Diophantine equations Author: Josha Box, [email protected], 10206140 Supervisor: dr. Sander Dahmen Second grader: Prof. dr. Jan de Boer Date: July 3, 2014 Korteweg-de Vries Instituut voor Wiskunde Universiteit van Amsterdam Science Park 904, 1098 XH Amsterdam http://www.science.uva.nl/math 3 Contents Introduction 6 Motivations . .7 1 Number theory 8 1.1 Prerequisite knowledge . .8 1.2 Algebraic numbers . 10 1.3 Unique factorization . 15 1.4 A geometrical approach to number theory . -
Introduction to the P-Adic Space
Introduction to the p-adic Space Joel P. Abraham October 25, 2017 1 Introduction From a young age, students learn fundamental operations with the real numbers: addition, subtraction, multiplication, division, etc. We intuitively understand that distance under the reals as the absolute value function, even though we never have had a fundamental introduction to set theory or number theory. As such, I found this topic to be extremely captivating, since it almost entirely reverses the intuitive notion of distance in the reals. Such a small modification to the definition of distance gives rise to a completely different set of numbers under which the typical axioms are false. Furthermore, this is particularly interesting since the p-adic system commonly appears in natural phenomena. Due to the versatility of this metric space, and its interesting uniqueness, I find the p-adic space a truly fascinating development in algebraic number theory, and thus chose to explore it further. 2 The p-adic Metric Space 2.1 p-adic Norm Definition 2.1. A metric space is a set with a distance function or metric, d(p, q) defined over the elements of the set and mapping them to a real number, satisfying: arXiv:1710.08835v1 [math.HO] 22 Oct 2017 (a) d(p, q) > 0 if p = q 6 (b) d(p,p)=0 (c) d(p, q)= d(q,p) (d) d(p, q) d(p, r)+ d(r, q) ≤ The real numbers clearly form a metric space with the absolute value function as the norm such that for p, q R ∈ d(p, q)= p q . -
Local-Global Methods in Algebraic Number Theory
LOCAL-GLOBAL METHODS IN ALGEBRAIC NUMBER THEORY ZACHARY KIRSCHE Abstract. This paper seeks to develop the key ideas behind some local-global methods in algebraic number theory. To this end, we first develop the theory of local fields associated to an algebraic number field. We then describe the Hilbert reciprocity law and show how it can be used to develop a proof of the classical Hasse-Minkowski theorem about quadratic forms over algebraic number fields. We also discuss the ramification theory of places and develop the theory of quaternion algebras to show how local-global methods can also be applied in this case. Contents 1. Local fields 1 1.1. Absolute values and completions 2 1.2. Classifying absolute values 3 1.3. Global fields 4 2. The p-adic numbers 5 2.1. The Chevalley-Warning theorem 5 2.2. The p-adic integers 6 2.3. Hensel's lemma 7 3. The Hasse-Minkowski theorem 8 3.1. The Hilbert symbol 8 3.2. The Hasse-Minkowski theorem 9 3.3. Applications and further results 9 4. Other local-global principles 10 4.1. The ramification theory of places 10 4.2. Quaternion algebras 12 Acknowledgments 13 References 13 1. Local fields In this section, we will develop the theory of local fields. We will first introduce local fields in the special case of algebraic number fields. This special case will be the main focus of the remainder of the paper, though at the end of this section we will include some remarks about more general global fields and connections to algebraic geometry. -
Algebraic Number Theory
Algebraic Number Theory William B. Hart Warwick Mathematics Institute Abstract. We give a short introduction to algebraic number theory. Algebraic number theory is the study of extension fields Q(α1; α2; : : : ; αn) of the rational numbers, known as algebraic number fields (sometimes number fields for short), in which each of the adjoined complex numbers αi is algebraic, i.e. the root of a polynomial with rational coefficients. Throughout this set of notes we use the notation Z[α1; α2; : : : ; αn] to denote the ring generated by the values αi. It is the smallest ring containing the integers Z and each of the αi. It can be described as the ring of all polynomial expressions in the αi with integer coefficients, i.e. the ring of all expressions built up from elements of Z and the complex numbers αi by finitely many applications of the arithmetic operations of addition and multiplication. The notation Q(α1; α2; : : : ; αn) denotes the field of all quotients of elements of Z[α1; α2; : : : ; αn] with nonzero denominator, i.e. the field of rational functions in the αi, with rational coefficients. It is the smallest field containing the rational numbers Q and all of the αi. It can be thought of as the field of all expressions built up from elements of Z and the numbers αi by finitely many applications of the arithmetic operations of addition, multiplication and division (excepting of course, divide by zero). 1 Algebraic numbers and integers A number α 2 C is called algebraic if it is the root of a monic polynomial n n−1 n−2 f(x) = x + an−1x + an−2x + ::: + a1x + a0 = 0 with rational coefficients ai. -
Fields Besides the Real Numbers Math 130 Linear Algebra
manner, which are both commutative and asso- ciative, both have identity elements (the additive identity denoted 0 and the multiplicative identity denoted 1), addition has inverse elements (the ad- ditive inverse of x denoted −x as usual), multipli- cation has inverses of nonzero elements (the multi- Fields besides the Real Numbers 1 −1 plicative inverse of x denoted x or x ), multipli- Math 130 Linear Algebra cation distributes over addition, and 0 6= 1. D Joyce, Fall 2015 Of course, one example of a field is the field of Most of the time in linear algebra, our vectors real numbers R. What are some others? will have coordinates that are real numbers, that is to say, our scalar field is R, the real numbers. Example 2 (The field of rational numbers, Q). Another example is the field of rational numbers. But linear algebra works over other fields, too, A rational number is the quotient of two integers like C, the complex numbers. In fact, when we a=b where the denominator is not 0. The set of discuss eigenvalues and eigenvectors, we'll need to all rational numbers is denoted Q. We're familiar do linear algebra over C. Some of the applications with the fact that the sum, difference, product, and of linear algebra such as solving linear differential quotient (when the denominator is not zero) of ra- equations require C as as well. tional numbers is another rational number, so Q Some applications in computer science use linear has all the operations it needs to be a field, and algebra over a two-element field Z (described be- 2 since it's part of the field of the real numbers R, its low). -
Geometry, Combinatorial Designs and Cryptology Fourth Pythagorean Conference
Geometry, Combinatorial Designs and Cryptology Fourth Pythagorean Conference Sunday 30 May to Friday 4 June 2010 Index of Talks and Abstracts Main talks 1. Simeon Ball, On subsets of a finite vector space in which every subset of basis size is a basis 2. Simon Blackburn, Honeycomb arrays 3. G`abor Korchm`aros, Curves over finite fields, an approach from finite geometry 4. Cheryl Praeger, Basic pregeometries 5. Bernhard Schmidt, Finiteness of circulant weighing matrices of fixed weight 6. Douglas Stinson, Multicollision attacks on iterated hash functions Short talks 1. Mari´en Abreu, Adjacency matrices of polarity graphs and of other C4–free graphs of large size 2. Marco Buratti, Combinatorial designs via factorization of a group into subsets 3. Mike Burmester, Lightweight cryptographic mechanisms based on pseudorandom number generators 4. Philippe Cara, Loops, neardomains, nearfields and sets of permutations 5. Ilaria Cardinali, On the structure of Weyl modules for the symplectic group 6. Bill Cherowitzo, Parallelisms of quadrics 7. Jan De Beule, Large maximal partial ovoids of Q−(5, q) 8. Bart De Bruyn, On extensions of hyperplanes of dual polar spaces 1 9. Frank De Clerck, Intriguing sets of partial quadrangles 10. Alice Devillers, Symmetry properties of subdivision graphs 11. Dalibor Froncek, Decompositions of complete bipartite graphs into generalized prisms 12. Stelios Georgiou, Self-dual codes from circulant matrices 13. Robert Gilman, Cryptology of infinite groups 14. Otokar Groˇsek, The number of associative triples in a quasigroup 15. Christoph Hering, Latin squares, homologies and Euler’s conjecture 16. Leanne Holder, Bilinear star flocks of arbitrary cones 17. Robert Jajcay, On the geometry of cages 18. -
Ring (Mathematics) 1 Ring (Mathematics)
Ring (mathematics) 1 Ring (mathematics) In mathematics, a ring is an algebraic structure consisting of a set together with two binary operations usually called addition and multiplication, where the set is an abelian group under addition (called the additive group of the ring) and a monoid under multiplication such that multiplication distributes over addition.a[›] In other words the ring axioms require that addition is commutative, addition and multiplication are associative, multiplication distributes over addition, each element in the set has an additive inverse, and there exists an additive identity. One of the most common examples of a ring is the set of integers endowed with its natural operations of addition and multiplication. Certain variations of the definition of a ring are sometimes employed, and these are outlined later in the article. Polynomials, represented here by curves, form a ring under addition The branch of mathematics that studies rings is known and multiplication. as ring theory. Ring theorists study properties common to both familiar mathematical structures such as integers and polynomials, and to the many less well-known mathematical structures that also satisfy the axioms of ring theory. The ubiquity of rings makes them a central organizing principle of contemporary mathematics.[1] Ring theory may be used to understand fundamental physical laws, such as those underlying special relativity and symmetry phenomena in molecular chemistry. The concept of a ring first arose from attempts to prove Fermat's last theorem, starting with Richard Dedekind in the 1880s. After contributions from other fields, mainly number theory, the ring notion was generalized and firmly established during the 1920s by Emmy Noether and Wolfgang Krull.[2] Modern ring theory—a very active mathematical discipline—studies rings in their own right. -
A Brief History of Ring Theory
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 examine an abstract ring, this essay will follow a procedure that is unlike a typical algebra textbook. That is, rather than initially offering just definitions, relevant examples will first be supplied so that the origins of a ring and its components can be better understood. Of course, this is the path that history has taken so what better way to proceed? First, it is important to understand that the abstract ring concept emerged from not one, but two theories: commutative ring theory and noncommutative ring the- ory. These two theories originated in different problems, were developed by different people and flourished in different directions. Still, these theories have much in com- mon and together form the foundation of today's ring theory. Specifically, modern commutative ring theory has its roots in problems of algebraic number theory and algebraic geometry. On the other hand, noncommutative ring theory originated from an attempt to expand the complex numbers to a variety of hypercomplex number systems. 2. Noncommutative Rings We will begin with noncommutative ring theory and its main originating ex- ample: the quaternions. According to Israel Kleiner's article \The Genesis of the Abstract Ring Concept," [2]. these numbers, created by Hamilton in 1843, are of the form a + bi + cj + dk (a; b; c; d 2 R) where addition is through its components 2 2 2 and multiplication is subject to the relations i =pj = k = ijk = −1. -
Subrings, Ideals and Quotient Rings the First Definition Should Not Be
Section 17: Subrings, Ideals and Quotient Rings The first definition should not be unexpected: Def: A nonempty subset S of a ring R is a subring of R if S is closed under addition, negatives (so it's an additive subgroup) and multiplication; in other words, S inherits operations from R that make it a ring in its own right. Naturally, Z is a subring of Q, which is a subring of R, which is a subring of C. Also, R is a subring of R[x], which is a subring of R[x; y], etc. The additive subgroups nZ of Z are subrings of Z | the product of two multiples of n is another multiple of n. For the same reason, the subgroups hdi in the various Zn's are subrings. Most of these latter subrings do not have unities. But we know that, in the ring Z24, 9 is an idempotent, as is 16 = 1 − 9. In the subrings h9i and h16i of Z24, 9 and 16 respectively are unities. The subgroup h1=2i of Q is not a subring of Q because it is not closed under multiplication: (1=2)2 = 1=4 is not an integer multiple of 1=2. Of course the immediate next question is which subrings can be used to form factor rings, as normal subgroups allowed us to form factor groups. Because a ring is commutative as an additive group, normality is not a problem; so we are really asking when does multiplication of additive cosets S + a, done by multiplying their representatives, (S + a)(S + b) = S + (ab), make sense? Again, it's a question of whether this operation is well-defined: If S + a = S + c and S + b = S + d, what must be true about S so that we can be sure S + (ab) = S + (cd)? Using the definition of cosets: If a − c; b − d 2 S, what must be true about S to assure that ab − cd 2 S? We need to have the following element always end up in S: ab − cd = ab − ad + ad − cd = a(b − d) + (a − c)d : Because b − d and a − c can be any elements of S (and either one may be 0), and a; d can be any elements of R, the property required to assure that this element is in S, and hence that this multiplication of cosets is well-defined, is that, for all s in S and r in R, sr and rs are also in S. -
Define the Determinant of A, to Be Det(A) = Ad − Bc. EX
DETERMINANT 1. 2 × 2 Determinants Fix a matrix A 2 R2×2 a b A = c d Define the determinant of A, to be det(A) = ad − bc: 2 −1 EXAMPLE: det = 2(2) − (−1)(−4) = 0. −4 2 det(A) encodes important geometric and algebraic information about A. For instance, the matrix A is invertible if and only if det(A) 6= 0. To see this suppose det(A) 6= 0, in this case the matrix 1 d −b B = det A −c a is well-defined. One computes, 1 ad − bc 0 BA = = I : ad − bc 0 ad − bc 2 and so A is invertible and A−1 = B. In the other direction, if A is not invertible, then the columns are linearly dependent and so either a = kb and c = kd or b = ka and d = kc for some k 2 R. Hence, det(A) = kbd − kbd = 0 or = kac − kac = 0. More geometrically, if x1 S = : 0 ≤ x1; x2 ≤ 1 x2 is the unit square and A(S) = fA~x : ~x 2 Sg is the image under multiplication by A of S, then the area of A(S), which we denote by jA(S)j is jA(S)j = j det(A)j: 2. Determinants of n × n matrices We seek a good notion for det(A) when A 2 Rn×n. It is improtant to remember that while this is of historical and theoretical importance, it is not as significant for computational purposes. Begin by fixing a matrix A 2 Rn×n of the form 2 3 a11 ··· a1n 6 . -
Number Fields
Part II | Number Fields Based on lectures by I. Grojnowski Notes taken by Dexter Chua Lent 2016 These notes are not endorsed by the lecturers, and I have modified them (often significantly) after lectures. They are nowhere near accurate representations of what was actually lectured, and in particular, all errors are almost surely mine. Part IB Groups, Rings and Modules is essential and Part II Galois Theory is desirable Definition of algebraic number fields, their integers and units. Norms, bases and discriminants. [3] Ideals, principal and prime ideals, unique factorisation. Norms of ideals. [3] Minkowski's theorem on convex bodies. Statement of Dirichlet's unit theorem. Deter- mination of units in quadratic fields. [2] Ideal classes, finiteness of the class group. Calculation of class numbers using statement of the Minkowski bound. [3] Dedekind's theorem on the factorisation of primes. Application to quadratic fields. [2] Discussion of the cyclotomic field and the Fermat equation or some other topic chosen by the lecturer. [3] 1 Contents II Number Fields Contents 0 Introduction 3 1 Number fields 4 2 Norm, trace, discriminant, numbers 10 3 Multiplicative structure of ideals 17 4 Norms of ideals 27 5 Structure of prime ideals 32 6 Minkowski bound and finiteness of class group 37 7 Dirichlet's unit theorem 48 8 L-functions, Dirichlet series* 56 Index 68 2 0 Introduction II Number Fields 0 Introduction Technically, IID Galois Theory is not a prerequisite of this course. However, many results we have are analogous to what we did in Galois Theory, and we will not refrain from pointing out the correspondence.