On Field Γ-Semiring and Complemented Γ-Semiring with Identity
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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 -
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). -
Formal Power Series License: CC BY-NC-SA
Formal Power Series License: CC BY-NC-SA Emma Franz April 28, 2015 1 Introduction The set S[[x]] of formal power series in x over a set S is the set of functions from the nonnegative integers to S. However, the way that we represent elements of S[[x]] will be as an infinite series, and operations in S[[x]] will be closely linked to the addition and multiplication of finite-degree polynomials. This paper will introduce a bit of the structure of sets of formal power series and then transfer over to a discussion of generating functions in combinatorics. The most familiar conceptualization of formal power series will come from taking coefficients of a power series from some sequence. Let fang = a0; a1; a2;::: be a sequence of numbers. Then 2 the formal power series associated with fang is the series A(s) = a0 + a1s + a2s + :::, where s is a formal variable. That is, we are not treating A as a function that can be evaluated for some s0. In general, A(s0) is not defined, but we will define A(0) to be a0. 2 Algebraic Structure Let R be a ring. We define R[[s]] to be the set of formal power series in s over R. Then R[[s]] is itself a ring, with the definitions of multiplication and addition following closely from how we define these operations for polynomials. 2 2 Let A(s) = a0 + a1s + a2s + ::: and B(s) = b0 + b1s + b1s + ::: be elements of R[[s]]. Then 2 the sum A(s) + B(s) is defined to be C(s) = c0 + c1s + c2s + :::, where ci = ai + bi for all i ≥ 0. -
RING THEORY 1. Ring Theory a Ring Is a Set a with Two Binary Operations
CHAPTER IV RING THEORY 1. Ring Theory A ring is a set A with two binary operations satisfying the rules given below. Usually one binary operation is denoted `+' and called \addition," and the other is denoted by juxtaposition and is called \multiplication." The rules required of these operations are: 1) A is an abelian group under the operation + (identity denoted 0 and inverse of x denoted x); 2) A is a monoid under the operation of multiplication (i.e., multiplication is associative and there− is a two-sided identity usually denoted 1); 3) the distributive laws (x + y)z = xy + xz x(y + z)=xy + xz hold for all x, y,andz A. Sometimes one does∈ not require that a ring have a multiplicative identity. The word ring may also be used for a system satisfying just conditions (1) and (3) (i.e., where the associative law for multiplication may fail and for which there is no multiplicative identity.) Lie rings are examples of non-associative rings without identities. Almost all interesting associative rings do have identities. If 1 = 0, then the ring consists of one element 0; otherwise 1 = 0. In many theorems, it is necessary to specify that rings under consideration are not trivial, i.e. that 1 6= 0, but often that hypothesis will not be stated explicitly. 6 If the multiplicative operation is commutative, we call the ring commutative. Commutative Algebra is the study of commutative rings and related structures. It is closely related to algebraic number theory and algebraic geometry. If A is a ring, an element x A is called a unit if it has a two-sided inverse y, i.e. -
Commutative Rings and Fields
Chapter 6 Commutative Rings and Fields The set of integers Z has two interesting operations: addition and multiplication, which interact in a nice way. Definition 6.1. A commutative ring consists of a set R with distinct elements 0, 1 R, and binary operations + and such that: ∈ · 1. (R, +, 0) is an Abelian group 2. is commutative and associative with 1 as the identity: x y = y x, x· (y z)=(x y) z, x 1=x. · · · · · · · 3. distributes over +: x (y + z)=x y + x z. · · · · Definition 6.2. A commutative ring R is a field if in addition, every nonzero x R possesses a multiplicative inverse, i.e. an element y R with xy =1. ∈ ∈ As a homework problem, you will show that the multiplicative inverse of x 1 is unique if it exists. We will denote it by x− . Example 6.3. Z, Q = a a, b Z, b =0 , R and C with the usual operations { b | ∈ } are all commutative rings. All but the Z are fields. The main new examples are the following: Theorem 6.4. The set Zn = 0, 1,...,n 1 is a commutative ring with addition and multiplication given{ by − } x y = x + y mod n ⊕ x y = xy mod n ⊙ Theorem 6.5. Zn is a field if and only if n is prime. 24 We will prove the second theorem, after we have developed a bit more theory. Since the symbols and are fairly cumbersome, we will often use ordinary notation with the understanding⊕ ⊙ that we’re using mod n rules. -
1 Semifields
1 Semifields Definition 1 A semifield P = (P; ⊕; ·): 1. (P; ·) is an abelian (multiplicative) group. 2. ⊕ is an auxiliary addition: commutative, associative, multiplication dis- tributes over ⊕. Exercise 1 Show that semi-field P is torsion-free as a multiplicative group. Why doesn't your argument prove a similar result about fields? Exercise 2 Show that if a semi-field contains a neutral element 0 for additive operation and 0 is multiplicatively absorbing 0a = a0 = 0 then this semi-field consists of one element Exercise 3 Give two examples of non injective homomorphisms of semi-fields Exercise 4 Explain why a concept of kernel is undefined for homorphisms of semi-fields. A semi-field T ropmin as a set coincides with Z. By definition a · b = a + b, T rop a ⊕ b = min(a; b). Similarly we define T ropmax. ∼ Exercise 5 Show that T ropmin = T ropmax Let Z[u1; : : : ; un]≥0 be the set of nonzero polynomials in u1; : : : ; un with non- negative coefficients. A free semi-field P(u1; : : : ; un) is by definition a set of equivalence classes of P expression Q , where P; Q 2 Z[u1; : : : ; un]≥0. P P 0 ∼ Q Q0 if there is P 00;Q00; a; a0 such that P 00 = aP = a0P 0;Q00 = aQ = a0Q0. 1 0 Exercise 6 Show that for any semi-field P and a collection v1; : : : ; vn there is a homomorphism 0 : P(u1; : : : ; un) ! P ; (ui) = vi Let k be a ring. Then k[P] is the group algebra of the multiplicative group of the semi-field P. -
MAT 240 - Algebra I Fields Definition
MAT 240 - Algebra I Fields Definition. A field is a set F , containing at least two elements, on which two operations + and · (called addition and multiplication, respectively) are defined so that for each pair of elements x, y in F there are unique elements x + y and x · y (often written xy) in F for which the following conditions hold for all elements x, y, z in F : (i) x + y = y + x (commutativity of addition) (ii) (x + y) + z = x + (y + z) (associativity of addition) (iii) There is an element 0 ∈ F , called zero, such that x+0 = x. (existence of an additive identity) (iv) For each x, there is an element −x ∈ F such that x+(−x) = 0. (existence of additive inverses) (v) xy = yx (commutativity of multiplication) (vi) (x · y) · z = x · (y · z) (associativity of multiplication) (vii) (x + y) · z = x · z + y · z and x · (y + z) = x · y + x · z (distributivity) (viii) There is an element 1 ∈ F , such that 1 6= 0 and x·1 = x. (existence of a multiplicative identity) (ix) If x 6= 0, then there is an element x−1 ∈ F such that x · x−1 = 1. (existence of multiplicative inverses) Remark: The axioms (F1)–(F-5) listed in the appendix to Friedberg, Insel and Spence are the same as those above, but are listed in a different way. Axiom (F1) is (i) and (v), (F2) is (ii) and (vi), (F3) is (iii) and (vii), (F4) is (iv) and (ix), and (F5) is (vii). Proposition. Let F be a field. -
Extended Tower Number Field Sieve: a New Complexity for the Medium Prime Case?
Extended Tower Number Field Sieve: A New Complexity for the Medium Prime Case? Taechan Kim1 and Razvan Barbulescu2 1 NTT Secure Platform Laboratories, Japan [email protected] 2 CNRS, Univ Paris 6, Univ Paris 7, France [email protected] Abstract. We introduce a new variant of the number field sieve algo- rithm for discrete logarithms in Fpn called exTNFS. The most important modification is done in the polynomial selection step, which determines the cost of the whole algorithm: if one knows how to select good polynomials to tackle discrete logarithms in Fpκ , exTNFS allows to use this method when tackling Fpηκ whenever gcd(η; κ) = 1. This simple fact has consequences on the asymptotic complexity of NFS in the medium prime case, where the p3 p3 n complexity is reduced from LQ(1=3; 96=9) to LQ(1=3; 48=9), Q = p , respectively from LQ(1=3; 2:15) to LQ(1=3; 1:71) if multiple number fields are used. On the practical side, exTNFS can be used when n = 6 and n = 12 and this requires to updating the keysizes used for the associated pairing-based cryptosystems. Keywords: Discrete Logarithm Problem; Number Field Sieve; Finite Fields; Cryptanalysis 1 Introduction The discrete logarithm problem (DLP) is at the foundation of a series of public key cryptosystems. Over a generic group of cardinality N, thep best known algorithm to solve the DLP has an exponential running time of O( N). However, if the group has a special structure one can design better algorithms, as is the case for the multiplicative group of finite fields FQ = Fpn where the DLP can be solved much more efficiently than in the exponential time. -
ALTERNATIVE ALGEBRAS OVER an ARBITRARY FIELD the Results Of
ALTERNATIVE ALGEBRAS OVER AN ARBITRARY FIELD R. D. SCHAFER1 The results of M. Zorn concerning alternative algebras2 are incom plete over modular fields since, in his study of alternative division algebras, Zorn restricted the characteristic of the base field to be not two or three. In this paper we present first a unified treatment of alternative division algebras which, together with Zorn's results, per mits us to state that any alternative, but not associative, algebra A over an arbitrary field F is central simple (that is, simple for all scalar extensions) if and only if A is a Cayley-Dickson algebra3 over F. A. A. Albert in a recent paper, Non-associative algebras I : Funda mental concepts and isotopy,* introduced the concept of isotopy for the study of non-associative algebras. We present in the concluding sec tion of this paper theorems concerning isotopes (with unity quanti ties) of alternative algebras. The reader is referred to Albert's paper, moreover, for definitions and explanations of notations which appear there and which, in the interests of brevity, have been omitted from this paper. 1. Alternative algebras. A distributive algebra A is called an alternative algebra if ax2 = (ax)x and x2a=x(xa) for all elements a, x in A, That is, in terms of the so-called right and left multiplications, 2 2 A is alternative if RX2 = (RX) and LX2 = (LX) . The following lemma, due to R. Moufang,5 and the Theorem of Artin are well known. LEMMA 1. The relations LxRxRy = RxyLXf RxLxLy=LyxRx, and RxLxy = LyLxRx hold for all a, x, y in an alternative algebra A. -
Definition and Examples of Rings 50
LECTURE 14 Definition and Examples of Rings Definition 14.1. A ring is a nonempty set R equipped with two operations ⊕ and ⊗ (more typically denoted as addition and multiplication) that satisfy the following conditions. For all a; b; c 2 R: (1) If a 2 R and b 2 R, then a ⊕ b 2 R. (2) a ⊕ (b ⊕ c) = (a ⊕ b) ⊕ c (3) a ⊕ b = b ⊕ a (4) There is an element 0R in R such that a ⊕ 0R = a ; 8 a 2 R: (5) For each a 2 R, the equation a ⊕ x = 0R has a solution in R. (6) If a 2 R, and b 2 R, then ab 2 R. (7) a ⊗ (b ⊗ c) = (a ⊗ b) ⊗ c. (8) a ⊗ (b ⊕ c) = (a ⊗ b) ⊕ (b ⊗ c) Definition 14.2. A commutative ring is a ring R such that (14.1) a ⊗ b = b ⊗ a ; 8 a; b 2 R: Definition 14.3. A ring with identity is a ring R that contains an element 1R such that (14.2) a ⊗ 1R = 1R ⊗ a = a ; 8 a 2 R: Let us continue with our discussion of examples of rings. Example 1. Z, Q, R, and C are all commutative rings with identity. Example 2. Let I denote an interval on the real line and let R denote the set of continuous functions f : I ! R. R can be given the structure of a commutative ring with identity by setting [f ⊕ g](x) = f(x) + g(x) [f ⊗ g](x) = f(x)g(x) 0R ≡ function with constant value 0 1R ≡ function with constant value 1 and then verifying that properties (1)-(10) hold. -
A Survey of Finite Semifields
Discrete Mathematics 208/209 (1999) 125–137 www.elsevier.com/locate/disc View metadata, citation and similar papers at core.ac.uk brought to you by CORE A survey of ÿnite semiÿelds provided by Elsevier - Publisher Connector M. Corderoa;∗, G.P. Weneb aDepartment of Mathematics, Texas Tech University, Lubbock, TX 79409, USA bDivision of Mathematics and Statistics, The University of Texas at San Antonio, San Antonio, TX 78249, USA Received 5 March 1997; revised 3 September 1997; accepted 13 April 1998 Abstract The ÿrst part of this paper is a discussion of the known constructions that lead to inÿnite families of semiÿelds of ÿnite order.The second part is a catalog of the known semiÿelds of ÿnite order. The bibliography includes some references that concern the subject but are not explicitly cited. c 1999 Elsevier Science B.V. All rights reserved. MSC: primary 17A35; secondary 12K10; 20N5 Keywords: Semiÿelds; Division rings; Finite geometries 1. Introduction A ÿnite semiÿeld is a ÿnite algebraic system containing at least two distinguished elements 0 and e. A semiÿeld S possesses two binary operations, addition and multi- plication, written in the usual notation and satisfying the following axioms: (1) (S; +) is a group with identity 0. (2) If a and b are elements of S and ab = 0 then a =0 or b=0. (3) If a, b and c are elements of S then a(b + c)=ab + ac and (a + b)c = ac + bc. (4) The element e satisÿes the relationship ea = ae = a for all a in S. All semiÿelds will be ÿnite unless it is speciÿcally stated otherwise.