An Introduction to the Theory of Field Extensions
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Subset Semirings
University of New Mexico UNM Digital Repository Faculty and Staff Publications Mathematics 2013 Subset Semirings Florentin Smarandache University of New Mexico, [email protected] W.B. Vasantha Kandasamy [email protected] Follow this and additional works at: https://digitalrepository.unm.edu/math_fsp Part of the Algebraic Geometry Commons, Analysis Commons, and the Other Mathematics Commons Recommended Citation W.B. Vasantha Kandasamy & F. Smarandache. Subset Semirings. Ohio: Educational Publishing, 2013. This Book is brought to you for free and open access by the Mathematics at UNM Digital Repository. It has been accepted for inclusion in Faculty and Staff Publications by an authorized administrator of UNM Digital Repository. For more information, please contact [email protected], [email protected], [email protected]. Subset Semirings W. B. Vasantha Kandasamy Florentin Smarandache Educational Publisher Inc. Ohio 2013 This book can be ordered from: Education Publisher Inc. 1313 Chesapeake Ave. Columbus, Ohio 43212, USA Toll Free: 1-866-880-5373 Copyright 2013 by Educational Publisher Inc. and the Authors Peer reviewers: Marius Coman, researcher, Bucharest, Romania. Dr. Arsham Borumand Saeid, University of Kerman, Iran. Said Broumi, University of Hassan II Mohammedia, Casablanca, Morocco. Dr. Stefan Vladutescu, University of Craiova, Romania. Many books can be downloaded from the following Digital Library of Science: http://www.gallup.unm.edu/eBooks-otherformats.htm ISBN-13: 978-1-59973-234-3 EAN: 9781599732343 Printed in the United States of America 2 CONTENTS Preface 5 Chapter One INTRODUCTION 7 Chapter Two SUBSET SEMIRINGS OF TYPE I 9 Chapter Three SUBSET SEMIRINGS OF TYPE II 107 Chapter Four NEW SUBSET SPECIAL TYPE OF TOPOLOGICAL SPACES 189 3 FURTHER READING 255 INDEX 258 ABOUT THE AUTHORS 260 4 PREFACE In this book authors study the new notion of the algebraic structure of the subset semirings using the subsets of rings or semirings. -
Exercises and Solutions in Groups Rings and Fields
EXERCISES AND SOLUTIONS IN GROUPS RINGS AND FIELDS Mahmut Kuzucuo˘glu Middle East Technical University [email protected] Ankara, TURKEY April 18, 2012 ii iii TABLE OF CONTENTS CHAPTERS 0. PREFACE . v 1. SETS, INTEGERS, FUNCTIONS . 1 2. GROUPS . 4 3. RINGS . .55 4. FIELDS . 77 5. INDEX . 100 iv v Preface These notes are prepared in 1991 when we gave the abstract al- gebra course. Our intention was to help the students by giving them some exercises and get them familiar with some solutions. Some of the solutions here are very short and in the form of a hint. I would like to thank B¨ulent B¨uy¨ukbozkırlı for his help during the preparation of these notes. I would like to thank also Prof. Ismail_ S¸. G¨ulo˘glufor checking some of the solutions. Of course the remaining errors belongs to me. If you find any errors, I should be grateful to hear from you. Finally I would like to thank Aynur Bora and G¨uldaneG¨um¨u¸sfor their typing the manuscript in LATEX. Mahmut Kuzucuo˘glu I would like to thank our graduate students Tu˘gbaAslan, B¨u¸sra C¸ınar, Fuat Erdem and Irfan_ Kadık¨oyl¨ufor reading the old version and pointing out some misprints. With their encouragement I have made the changes in the shape, namely I put the answers right after the questions. 20, December 2011 vi M. Kuzucuo˘glu 1. SETS, INTEGERS, FUNCTIONS 1.1. If A is a finite set having n elements, prove that A has exactly 2n distinct subsets. -
Section V.1. Field Extensions
V.1. Field Extensions 1 Section V.1. Field Extensions Note. In this section, we define extension fields, algebraic extensions, and tran- scendental extensions. We treat an extension field F as a vector space over the subfield K. This requires a brief review of the material in Sections IV.1 and IV.2 (though if time is limited, we may try to skip these sections). We start with the definition of vector space from Section IV.1. Definition IV.1.1. Let R be a ring. A (left) R-module is an additive abelian group A together with a function mapping R A A (the image of (r, a) being × → denoted ra) such that for all r, a R and a,b A: ∈ ∈ (i) r(a + b)= ra + rb; (ii) (r + s)a = ra + sa; (iii) r(sa)=(rs)a. If R has an identity 1R and (iv) 1Ra = a for all a A, ∈ then A is a unitary R-module. If R is a division ring, then a unitary R-module is called a (left) vector space. Note. A right R-module and vector space is similarly defined using a function mapping A R A. × → Definition V.1.1. A field F is an extension field of field K provided that K is a subfield of F . V.1. Field Extensions 2 Note. With R = K (the ring [or field] of “scalars”) and A = F (the additive abelian group of “vectors”), we see that F is a vector space over K. Definition. Let field F be an extension field of field K. -
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 . -
Algorithmic Factorization of Polynomials Over Number Fields
Rose-Hulman Institute of Technology Rose-Hulman Scholar Mathematical Sciences Technical Reports (MSTR) Mathematics 5-18-2017 Algorithmic Factorization of Polynomials over Number Fields Christian Schulz Rose-Hulman Institute of Technology Follow this and additional works at: https://scholar.rose-hulman.edu/math_mstr Part of the Number Theory Commons, and the Theory and Algorithms Commons Recommended Citation Schulz, Christian, "Algorithmic Factorization of Polynomials over Number Fields" (2017). Mathematical Sciences Technical Reports (MSTR). 163. https://scholar.rose-hulman.edu/math_mstr/163 This Dissertation is brought to you for free and open access by the Mathematics at Rose-Hulman Scholar. It has been accepted for inclusion in Mathematical Sciences Technical Reports (MSTR) by an authorized administrator of Rose-Hulman Scholar. For more information, please contact [email protected]. Algorithmic Factorization of Polynomials over Number Fields Christian Schulz May 18, 2017 Abstract The problem of exact polynomial factorization, in other words expressing a poly- nomial as a product of irreducible polynomials over some field, has applications in algebraic number theory. Although some algorithms for factorization over algebraic number fields are known, few are taught such general algorithms, as their use is mainly as part of the code of various computer algebra systems. This thesis provides a summary of one such algorithm, which the author has also fully implemented at https://github.com/Whirligig231/number-field-factorization, along with an analysis of the runtime of this algorithm. Let k be the product of the degrees of the adjoined elements used to form the algebraic number field in question, let s be the sum of the squares of these degrees, and let d be the degree of the polynomial to be factored; then the runtime of this algorithm is found to be O(d4sk2 + 2dd3). -
Discriminants and the Monoid of Quadratic Rings
DISCRIMINANTS AND THE MONOID OF QUADRATIC RINGS JOHN VOIGHT Abstract. We consider the natural monoid structure on the set of quadratic rings over an arbitrary base scheme and characterize this monoid in terms of discriminants. Quadratic field extensions K of Q are characterized by their discriminants. Indeed, there is a bijection 8Separable quadratic9 < = ∼ × ×2 algebras over Q −! Q =Q : up to isomorphism ; p 2 ×2 Q[ d] = Q[x]=(x − d) 7! dQ wherep a separable quadratic algebra over Q is either a quadratic field extension or the algebra Q[ 1] ' Q × Q of discriminant 1. In particular, the set of isomorphism classes of separable quadratic extensions of Q can be given the structure of an elementary abelian 2-group, with identity element the class of Q × Q: we have simply p p p Q[ d1] ∗ Q[ d2] = Q[ d1d2] p × ×2 up to isomorphism. If d1; d2; dp1d2 2pQ n Q then Q( d1d2) sits as the third quadratic subfield of the compositum Q( d1; d2): p p Q( d1; d2) p p p Q( d1) Q( d1d2) Q( d2) Q p Indeed, ifpσ1 isp the nontrivial elementp of Gal(Q( d1)=Q), then therep is a unique extension of σ1 to Q( d1; d2) leaving Q( d2) fixed, similarly with σ2, and Q( d1d2) is the fixed field of the composition σ1σ2 = σ2σ1. This characterization of quadratic extensions works over any base field F with char F 6= 2 and is summarized concisely in the Kummer theory isomorphism H1(Gal(F =F ); {±1g) = Hom(Gal(F =F ); {±1g) ' F ×=F ×2: On the other hand, over a field F with char F = 2, all separable quadratic extensions have trivial discriminant and instead they are classified by the (additive) Artin-Schreier group F=}(F ) where }(F ) = fr + r2 : r 2 F g Date: January 17, 2021. -
January 10, 2010 CHAPTER SIX IRREDUCIBILITY and FACTORIZATION §1. BASIC DIVISIBILITY THEORY the Set of Polynomials Over a Field
January 10, 2010 CHAPTER SIX IRREDUCIBILITY AND FACTORIZATION §1. BASIC DIVISIBILITY THEORY The set of polynomials over a field F is a ring, whose structure shares with the ring of integers many characteristics. A polynomials is irreducible iff it cannot be factored as a product of polynomials of strictly lower degree. Otherwise, the polynomial is reducible. Every linear polynomial is irreducible, and, when F = C, these are the only ones. When F = R, then the only other irreducibles are quadratics with negative discriminants. However, when F = Q, there are irreducible polynomials of arbitrary degree. As for the integers, we have a division algorithm, which in this case takes the form that, if f(x) and g(x) are two polynomials, then there is a quotient q(x) and a remainder r(x) whose degree is less than that of g(x) for which f(x) = q(x)g(x) + r(x) . The greatest common divisor of two polynomials f(x) and g(x) is a polynomial of maximum degree that divides both f(x) and g(x). It is determined up to multiplication by a constant, and every common divisor divides the greatest common divisor. These correspond to similar results for the integers and can be established in the same way. One can determine a greatest common divisor by the Euclidean algorithm, and by going through the equations in the algorithm backward arrive at the result that there are polynomials u(x) and v(x) for which gcd (f(x), g(x)) = u(x)f(x) + v(x)g(x) . -
2.4 Algebra of Polynomials ([1], P.136-142) in This Section We Will Give a Brief Introduction to the Algebraic Properties of the Polynomial Algebra C[T]
2.4 Algebra of polynomials ([1], p.136-142) In this section we will give a brief introduction to the algebraic properties of the polynomial algebra C[t]. In particular, we will see that C[t] admits many similarities to the algebraic properties of the set of integers Z. Remark 2.4.1. Let us first recall some of the algebraic properties of the set of integers Z. - division algorithm: given two integers w, z 2 Z, with jwj ≤ jzj, there exist a, r 2 Z, with 0 ≤ r < jwj such that z = aw + r. Moreover, the `long division' process allows us to determine a, r. Here r is the `remainder'. - prime factorisation: for any z 2 Z we can write a1 a2 as z = ±p1 p2 ··· ps , where pi are prime numbers. Moreover, this expression is essentially unique - it is unique up to ordering of the primes appearing. - Euclidean algorithm: given integers w, z 2 Z there exists a, b 2 Z such that aw + bz = gcd(w, z), where gcd(w, z) is the `greatest common divisor' of w and z. In particular, if w, z share no common prime factors then we can write aw + bz = 1. The Euclidean algorithm is a process by which we can determine a, b. We will now introduce the polynomial algebra in one variable. This is simply the set of all polynomials with complex coefficients and where we make explicit the C-vector space structure and the multiplicative structure that this set naturally exhibits. Definition 2.4.2. - The C-algebra of polynomials in one variable, is the quadruple (C[t], α, σ, µ)43 where (C[t], α, σ) is the C-vector space of polynomials in t with C-coefficients defined in Example 1.2.6, and µ : C[t] × C[t] ! C[t];(f , g) 7! µ(f , g), is the `multiplication' function. -
Calculus Terminology
AP Calculus BC Calculus Terminology Absolute Convergence Asymptote Continued Sum Absolute Maximum Average Rate of Change Continuous Function Absolute Minimum Average Value of a Function Continuously Differentiable Function Absolutely Convergent Axis of Rotation Converge Acceleration Boundary Value Problem Converge Absolutely Alternating Series Bounded Function Converge Conditionally Alternating Series Remainder Bounded Sequence Convergence Tests Alternating Series Test Bounds of Integration Convergent Sequence Analytic Methods Calculus Convergent Series Annulus Cartesian Form Critical Number Antiderivative of a Function Cavalieri’s Principle Critical Point Approximation by Differentials Center of Mass Formula Critical Value Arc Length of a Curve Centroid Curly d Area below a Curve Chain Rule Curve Area between Curves Comparison Test Curve Sketching Area of an Ellipse Concave Cusp Area of a Parabolic Segment Concave Down Cylindrical Shell Method Area under a Curve Concave Up Decreasing Function Area Using Parametric Equations Conditional Convergence Definite Integral Area Using Polar Coordinates Constant Term Definite Integral Rules Degenerate Divergent Series Function Operations Del Operator e Fundamental Theorem of Calculus Deleted Neighborhood Ellipsoid GLB Derivative End Behavior Global Maximum Derivative of a Power Series Essential Discontinuity Global Minimum Derivative Rules Explicit Differentiation Golden Spiral Difference Quotient Explicit Function Graphic Methods Differentiable Exponential Decay Greatest Lower Bound Differential -
Finding Equations of Polynomial Functions with Given Zeros
Finding Equations of Polynomial Functions with Given Zeros 푛 푛−1 2 Polynomials are functions of general form 푃(푥) = 푎푛푥 + 푎푛−1 푥 + ⋯ + 푎2푥 + 푎1푥 + 푎0 ′ (푛 ∈ 푤ℎ표푙푒 # 푠) Polynomials can also be written in factored form 푃(푥) = 푎(푥 − 푧1)(푥 − 푧2) … (푥 − 푧푖) (푎 ∈ ℝ) Given a list of “zeros”, it is possible to find a polynomial function that has these specific zeros. In fact, there are multiple polynomials that will work. In order to determine an exact polynomial, the “zeros” and a point on the polynomial must be provided. Examples: Practice finding polynomial equations in general form with the given zeros. Find an* equation of a polynomial with the Find the equation of a polynomial with the following two zeros: 푥 = −2, 푥 = 4 following zeroes: 푥 = 0, −√2, √2 that goes through the point (−2, 1). Denote the given zeros as 푧1 푎푛푑 푧2 Denote the given zeros as 푧1, 푧2푎푛푑 푧3 Step 1: Start with the factored form of a polynomial. Step 1: Start with the factored form of a polynomial. 푃(푥) = 푎(푥 − 푧1)(푥 − 푧2) 푃(푥) = 푎(푥 − 푧1)(푥 − 푧2)(푥 − 푧3) Step 2: Insert the given zeros and simplify. Step 2: Insert the given zeros and simplify. 푃(푥) = 푎(푥 − (−2))(푥 − 4) 푃(푥) = 푎(푥 − 0)(푥 − (−√2))(푥 − √2) 푃(푥) = 푎(푥 + 2)(푥 − 4) 푃(푥) = 푎푥(푥 + √2)(푥 − √2) Step 3: Multiply the factored terms together. Step 3: Multiply the factored terms together 푃(푥) = 푎(푥2 − 2푥 − 8) 푃(푥) = 푎(푥3 − 2푥) Step 4: The answer can be left with the generic “푎”, or a value for “푎”can be chosen, Step 4: Insert the given point (−2, 1) to inserted, and distributed. -
Section X.51. Separable Extensions
X.51 Separable Extensions 1 Section X.51. Separable Extensions Note. Let E be a finite field extension of F . Recall that [E : F ] is the degree of E as a vector space over F . For example, [Q(√2, √3) : Q] = 4 since a basis for Q(√2, √3) over Q is 1, √2, √3, √6 . Recall that the number of isomorphisms of { } E onto a subfield of F leaving F fixed is the index of E over F , denoted E : F . { } We are interested in when [E : F ]= E : F . When this equality holds (again, for { } finite extensions) E is called a separable extension of F . Definition 51.1. Let f(x) F [x]. An element α of F such that f(α) = 0 is a zero ∈ of f(x) of multiplicity ν if ν is the greatest integer such that (x α)ν is a factor of − f(x) in F [x]. Note. I find the following result unintuitive and surprising! The backbone of the (brief) proof is the Conjugation Isomorphism Theorem and the Isomorphism Extension Theorem. Theorem 51.2. Let f(x) be irreducible in F [x]. Then all zeros of f(x) in F have the same multiplicity. Note. The following follows from the Factor Theorem (Corollary 23.3) and Theo- rem 51.2. X.51 Separable Extensions 2 Corollary 51.3. If f(x) is irreducible in F [x], then f(x) has a factorization in F [x] of the form ν a Y(x αi) , i − where the αi are the distinct zeros of f(x) in F and a F . -
Arxiv:1709.01693V2 [Math.AC] 14 May 2018 Togypiaymnis Rl Ood,C-Monoids
PUISEUX MONOIDS AND TRANSFER HOMOMORPHISMS FELIX GOTTI Abstract. There are several families of atomic monoids whose arithmetical invari- ants have received a great deal of attention during the last two decades. The factoriza- tion theory of finitely generated monoids, strongly primary monoids, Krull monoids, and C-monoids are among the most systematically studied. Puiseux monoids, which are additive submonoids of Q≥0 consisting of nonnegative rational numbers, have only been studied recently. In this paper, we provide evidence that this family com- prises plenty of monoids with a basically unexplored atomic structure. We do this by showing that the arithmetical invariants of the well-studied atomic monoids men- tioned earlier cannot be transferred to most Puiseux monoids via homomorphisms that preserve atomic configurations, i.e., transfer homomorphisms. Specifically, we show that transfer homomorphisms from a non-finitely generated atomic Puiseux monoid to a finitely generated monoid do not exist. We also find a large family of Puiseux monoids that fail to be strongly primary. In addition, we prove that the only nontrivial Puiseux monoid that accepts a transfer homomorphism to a Krull monoid is N0. Finally, we classify the Puiseux monoids that happen to be C-monoids. 1. Introduction The study of the phenomenon of non-unique factorizations in the ring of integers OK of an algebraic number field K was initiated by L. Carlitz in the 1950’s, and it was later carried out on more general integral domains. As a result, many techniques to measure the non-uniqueness of factorizations in several families of integral domains were sys- tematically developed during the second half of the last century (see [2] and references therein).