ZERO-DIVISOR GRAPHS OF MATRICES OVER COMMUTATIVE RINGS
|
|
- Emerald Dorsey
- 7 years ago
- Views:
Transcription
1 Communications in Algebra, 37: , 2009 Copyright Taylor & Francis Group, LLC ISSN: print/ online DOI: / ZERO-DIVISOR GRAPHS OF MATRICES OVER COMMUTATIVE RINGS Ivana Božić 1 and Zoran Petrović 2 1 Department of Mathematics, Harvard University, Cambridge, Massachusetts, USA 2 Faculty of Mathematics, University of Belgrade, Belgrade, Serbia Key Words: We investigate the properties of (directed) zero-divisor graphs of matrix rings. Then we use these results to discuss the relation between the diameter of the zero-divisor graph of a commutative ring R and that of the matrix ring M n R. Commutative rings; Matrix rings; Zero-divisor graph Mathematics Subject Classification: Primary 16S50; Secondary 13A99, 05C INTRODUCTION The concept of a zero-divisor graph of a commutative ring was first introduced in Beck (1988), and later redefined in Anderson and Livingston (1999). Redmond (2002) further extended this concept to the noncommutative case, introducing several definitions of a zero-divisor graph of a noncommutative ring. Recently, the diameter and girth of polynomial and power series rings over a commutative ring were studied in Axtell et al. (2005), Anderson and Mulay (2007), and Lucas (2006). Let R be a commutative ring with 1, and let M n R denote the ring of n n matrices over R. Let R and M n R denote the zero-divisor graphs of R and M n R, respectively. The object of this article is to find a relation between the diameters of R and M n R. We view this problem as a natural continuation of the investigation into relations between diameters of zero-divisor graphs of a commutative ring R and polynomials and power series over the same ring. Unlike these results, our case involves an extension of a commutative ring into a noncommutative one and, therefore, relates graphs of commutative and noncommutative rings. In Section 2, we recollect the main definitions and the results which we need for both the commutative and noncommutative case. In Section 3, we prove several theorems about zero-divisor graphs of matrix rings. In Section 4, we turn to our main problem the investigation of possible diameters of M n R in terms of the diameter of R. Received August 20, 2007; Revised February 25, Communicated by I. Swanson. Address correspondence to Zoran Petrović, Faculty of Mathematics, University of Belgrade, Studentski trg 16, Belgrade 11000, Serbia; zoranp@matf.bg.ac.yu 1186
2 2. ZERO-DIVISOR GRAPHS ZERO-DIVISOR GRAPHS OF MATRICES 1187 In this section we recall the definitions and basic properties of zero-divisor graphs of commutative and noncommutative rings. If R is an arbitrary ring, let Z R denote the set of zero-divisors of R, and let Z R denote the set of nonzero zero-divisors of R. If the ring R is noncommutative, we let Z L R and Z R R denote the sets of left and right zero-divisors of R, respectively. For a commutative ring R, we consider the undirected graph R with vertices in the set Z R, such that for distinct vertices a and b there is an edge connecting them if and only if ab = 0. We recall that a graph is connected if there exists a path connecting any two distinct vertices. The distance between two distinct vertices a and b, denoted d a b, is the length of the shortest path connecting them (if such a path does not exist, then d a b = ). The diameter of a graph, denoted diam, is equal to sup d a b a b distinct vertices of The girth of a graph, denoted g, is the length of the shortest cycle in. If R is a noncommutative ring, we define a directed zero-divisor graph R in a similar way (this definition was introduced by Redmond, 2002). A directed graph is connected if there exists a directed path connecting any two distinct vertices. The distance and the diameter are defined in a similar way as well, having in mind that all paths in question are directed. Redmond (2002) also defined an undirected zero-divisor graph of a noncommutative ring R, denoted by R, with vertices in the set Z R and such that for distinct vertices a and b there is an edge connecting them if and only if ab = 0 or ba = 0. The results from the following theorem were proved in Anderson and Livingston (1999) and Mulay (2002). Theorem 2.1. Let R be a commutative ring, with Z R. Then R is always connected, diam R 3 and g R 4. The following two theorems about zero-divisor graphs of noncommutative rings were proved by Redmond (2002). Theorem 2.2. Let R be a noncommutative ring, with Z R. Then R is connected if and only if Z L R = Z R R. If R is connected, then diam R 3. Theorem 2.3. Let R be a noncommutative ring, with Z R. Then R is connected, diam R 3 and g R ZERO-DIVISOR GRAPHS OF M n R In what follows, we always assume that our commutative rings have identity. Our goal is to give a characterization of the possible diameters of M n R in terms of the diameter of R. In this section, we prove theorems which will enable us to
3 1188 BOŽIĆ AND PETROVIĆ give such a characterization. We know that, even if R does not contain zero-divisors, M n R does. Also, we note that there always exist distinct A B Z M n R such that AB is not equal to zero. Thus, diam M n R 2 for all commutative rings R. Unlike the zero-divisor graphs of commutative rings, (directed) zero-divisor graphs of noncommutative rings need not be connected. We proceed to determine whether zero-divisor graphs of matrices over commutative rings are connected. Theorem 3.1. Let R be a commutative ring. Then M n R is connected and diam M n R 3. Proof. We have by Theorem 2.2 that a (directed) zero-divisor graph of a noncommutative ring R is connected if and only if Z L R = Z R R. By the same theorem, if such a graph is connected, then diam R 3. We complete the proof by recalling that a matrix A is either a left or a right zero-divisor in M n R if and only if det A Z R (cf. Theorem 9.1 from Brown, 1993). Our next aim is to establish a relationship between the diameters of R and M n R. Proposition 3.1. Let R be a commutative ring such that Z R. Then diam R diam M n R. Proof. We know that diam R 3 (cf. Theorem 2.1). If diam R = 1 or diam R = 2, then diam M n R 2 diam R. If diam R = 3, then there are different nonzero elements a b c d in R such that ab = 0, bc = 0, cd = 0, and a b c d is the shortest path from a to d in R. Then the matrices A = ai n and D = di n belong to Z M n R, and obviously AD 0. Let us assume that there exists a matrix C = c ij Z M n R such that AC = CD = 0. We then have AC = ac = 0 and CD = dc = 0. Thus, for all i j = 1 n ac ij = dc ij = 0, and since only zero annihilates both a and d, we have c ij = 0 for all i j = 1 n, so C = 0, a contradiction. We have proved that diam M n R 3 = diam R. Let T R be the total quotient ring of a commutative ring R. Anderson et al. (2003) showed that R and T R were isomorphic as graphs, and as a consequence it followed that these two graphs had the same diameter and girth. We will show that the same claim holds for M n R and M n T R as well. We recall that two graphs G and G are isomorphic if there is a bijection G G of vertices such that vertices x and y are adjacent in G if and only if x and y are adjacent in G. Theorem 3.2. Let R be a commutative ring with total quotient ring T R. Then M n R M n T R. Proof. We will construct a proof similar to that of Theorem 2.2 from Anderson et al. (2003). Let R be a commutative ring, and let A M n R. Let ann R A L = X M n R XA = 0 and ann R A R = X M n R AX = 0. For A B M n R, we define A B if and only if ann R A L = ann R B L and ann R A R = ann R B R.
4 ZERO-DIVISOR GRAPHS OF MATRICES 1189 The relation is an equivalence relation on M n R and restricts to an equivalence relation on Z M n R, which is the vertex set of M n R. Let T = T R. We denote the equivalence relations defined as above on Z M n R and Z M n T by R and T, and their respective equivalence classes by A R and A T. If A = a ij M n R and s R Z R, we denote by A/s the matrix a ij /s M n T. Note that A Z M n T if and only if A = B/s for some B Z M n R and s R Z R. We have that Z M n R = A R and Z M n T = A /1 T. Note that there is a bijection between sets of equivalence classes of R and T, given by A R A /1 T, and therefore we can use the same index set. We also note that both unions are disjoint. One can prove that A R = A/1 T for all A Z M n R, and the proof of this fact is completely analogous to the proof of the corresponding fact from Anderson et al. (2003). Therefore, there is a bijection A R A /1 T for each. We define Z M n R Z M n T by X = X if X A R. The map is a bijection from M n R to M n T. We show that XY = 0 in Z M n R if and only if X Y = 0 in Z M n T. Let X A R, Y B R, W A/1 T, Z B/1 T. Note that ann T X R = ann T A R = ann T W R and ann T Y L = ann T B L = ann T Z L. Thus XY = 0 Y ann T X R = ann T W R WY = 0 W ann T Y L = ann T Z L WZ = 0. We conclude that M n R M n T. Corollary 3.1. Let R be a commutative ring with total quotient ring T R. Then diam M n R = diam M n T R. Proof. Since the diameter is a graph invariant the result follows from the previous theorem. We conclude this section by giving an elementary result about the girth of M n R. Proposition 3.2. Let R be a commutative ring. Then g M n R = 3. Proof. Let A = B = and C =
5 1190 BOŽIĆ AND PETROVIĆ A B, and C are distinct nonzero matrices from Z M n R such that AB = BC = CA = DIAMETERS OF R AND M n R In this section we apply the results we have obtained about zero-divisor graphs of matrix rings in order to characterize diam M n R in terms of diam R. First we prove the following two lemmas. Lemma 4.1. Let R be a commutative ring and A a matrix from Z M n R. If all elements of R are either invertible or zero-divisors, then there exists an invertible matrix P M n R such that the first row of the matrix PA (alternatively, the last column of the matrix AP) consists entirely of zero-divisors. Proof. Assume that every row of the matrix A contains an invertible element; otherwise, we can change places of the row which contains only zero-divisors and the first one. Let x n be an invertible element in the last row of matrix A. Multiplying the last row by a suitable element of R, and adding it to all other rows, we can transform A into a matrix A 1 which has all zeros above x n in the last row. If A 1 has a row which contains only zero-divisors, we proceed as above. Otherwise, we let x n 1 be an invertible element in the penultimate row. Similarly, we can transform A 1 into a matrix A 2 which has all zeros above x n and x n 1. Continuing this process, we will either get a matrix A k which has the first row containing only zero-divisors, or we will get a matrix A n 1 which has all zeros in the first row, except possibly for one element x 1. If x 1 is not a zero-divisor, it must be invertible, so A n must also be invertible. This is a contradiction. Therefore, x 1 is a zero-divisor, and the invertible matrix P such that A n 1 = PA is the required one. Lemma 4.2. Let R be a commutative ring. If every finite set of zero-divisors from R has a nonzero annihilator, then diam M n R = 2. Proof. We note that the total quotient ring T = T R of R contains only elements which are either invertible or zero-divisors. In addition, every finite set of zero-divisors from T must have a nonzero annihilator. Let A B Z M n T. By Lemma 4.1, there exist invertible matrices P Q M n T such that the last column of the matrix AP and the first row of the matrix QB consist entirely of zero-divisors. Let S be the set of zero-divisors from the last column of the matrix AP and the first row of the matrix QB. Let a be nonzero annihilator of S, and let C = P Q a 0 0 Then C 0 and AC = CB = 0. Thus diam M n T = 2 and by Corollary 3.1 diam M n R = 2.
6 ZERO-DIVISOR GRAPHS OF MATRICES 1191 Corollary 4.1. If F is a field, then diam M n F = 2. The result of this corollary may also be found in Wu (2005). We can further extend this to integral domains. Proposition 4.1. Let R be an integral domain. Then diam M n R = 2. Proof. Let T denote the quotient field of R. By Corollaries 3.1 and 4.1, we have that diam M n R = diam M n T = 2. We proceed to characterize the diameter of M n R for rings with complete zero-divisor graphs. Theorem 4.1. Let R be a commutative ring such that R 2 2, and let diam R = 1. Then diam M n R = 2. Proof. Since R 2 2, we have by Theorem 2.8 in Anderson and Livingston (1999) that xy must be zero for all x y Z R. Therefore, any finite set of zero-divisors in R has a nonzero annihilator (any nonzero zero-divisor will do). Thus, by Lemma 4.2 we have diam M n R = 2. We show in Theorem 4.2 that diam M n 2 2 = 3. By Theorem 2.7 of Anderson and Mulay (2007), if R is a commutative ring and diam R = 2, then exactly one of the following holds: (1) Z R is a prime ideal in R; or (2) T R = K 1 K 2, where both K i are fields. We proceed to examine the diameter of M n R in each of the two cases. Theorem 4.2. Let R be a commutative ring such that T R = K 1 K 2, where both K i are fields. Then diam M n R = 3. Proof. First note that M n K 1 K 2 M n K 1 M n K 2. Also, A 1 A 2 is a zero-divisor in Z M n K 1 M n K 2 if and only if A 1 Z M n K 1 or A 2 Z M n K 2. Let A = A 1 A 2 and B = B 1 B 2 be matrices from M n K 1 K 2, where A 1 and B 2 are the identity matrices, while A 2 and B 1 are matrices whose only nonzero entry is 1, which appears in the upper left corner (one uses notation E 11 to denote such a matrix). Both A and B are zero-divisors in the ring M n K 1 M n K 2 and AB 0. We also note that A 1 and B 2 are invertible, and that A 2 Z M n K 2, B 1 Z M n K 1. If there exists a C = C 1 C 2 Z M n K 1 M n K 2 such that AC = 0 and CB = 0, then it must be C 1 = 0 and C 2 = 0. Hence, diam M n T 3 and thus diam M n T = 3. By Corollary 3.1 we conclude that diam M n R = 3. In the remaining case, when Z R is an ideal in R, we prove the following result about the diameter of M n R for Noetherian rings R. Theorem 4.3. Let R be a Noetherian ring such that diam R = 2. If Z R is a prime ideal in R, then diam M n R = 2.
7 1192 BOŽIĆ AND PETROVIĆ Proof. We have by Theorem 82 in Kaplansky (1974) that Z R is annihilated by a single element, say a. By Lemma 4.2, we have diam M n R = 2. However, if diam R = 2 and Z R is a prime ideal, R being Noetherian is not a necessary condition for diam M n R to be 2. We recall that R is a McCoy ring if every finitely generated ideal in R contained in Z R has a nonzero annihilator. An example of a McCoy ring which is not Noetherian is a polynomial ring R X 1 X 2, where the ring R is any commutative ring with identity. This follows easily from the fact that R X is always a McCoy ring (see Huckaba and Keller, 1979). Proposition 4.2. If R is a McCoy ring such that diam R = 2 and Z R is a prime ideal, then diam M n R = 2. Proof. Let S be a finite set of zero-divisors from R, and let I be the ideal generated by the elements of S. Since Z R is an ideal, I Z R, and thus I has a nonzero annihilator. By Lemma 4.2, we have that diam M n R = 2. When R is a commutative ring such that diam R = 2, Z R is a prime ideal, and R is not McCoy, the question of whether diam( M n R = 2 remains open. ACKNOWLEDGMENTS The authors would like to thank the anonymous referee for his/her helpful comments which have significantly improved the presentation of the results in this article. This work was partially supported by the Ministry of Science and Environmental Protection of the Republic of Serbia Project # REFERENCES Anderson, D. F., Livingston, P. S. (1999). The zero-divisor graph of a commutative ring. J. Algebra 217: Anderson, D. F., Mulay, S. B. (2007). On the diameter and girth of a zero-divisor graph. J. Pure App. Algebra 210(2): Anderson, D. F., Levy, R., Shapiro, J. (2003). Zero-divisor graphs, von Neumann regular rings and Boolean algebras. J. Pure Appl. Algebra 180: Axtell, M., Coykendall, J., Stickles, J. (2005). Zero-divisor graphs of polynomial and power series over commutative rings. Comm. Alg. 33: Beck, I. (1988). Coloring of commutative rings. J. Algebra 116: Brown, W. (1993). Matrices Over Commutative Rings. Marcel Dekker, Inc. Huckaba, J. A., Keller, J. M. (1979). Annihilation of ideals in commutative rings. Pac. J. Math. 83: Kaplansky, I. (1974). Commutative Rings. Chicago: The University of Chicago Press. Lucas, T. G. (2006). The diameter of a zero divisor graph. J. Algebra 301: Mulay, S. B. (2002). Cycles and symmetries of zero-divisors. Comm. Alg. 30(7): Redmond, S. (2002). The zero-divisor graph of a noncommutative ring. International J. Commutative Rings 1(4): Wu, T. (2005). On directed zero-divisor graphs of finite rings. Discrete Math. 296:73 86.
COMMUTATIVE RINGS. Definition: A domain is a commutative ring R that satisfies the cancellation law for multiplication:
COMMUTATIVE RINGS Definition: A commutative ring R is a set with two operations, addition and multiplication, such that: (i) R is an abelian group under addition; (ii) ab = ba for all a, b R (commutative
More informationContinued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
More informationI. GROUPS: BASIC DEFINITIONS AND EXAMPLES
I GROUPS: BASIC DEFINITIONS AND EXAMPLES Definition 1: An operation on a set G is a function : G G G Definition 2: A group is a set G which is equipped with an operation and a special element e G, called
More information26 Ideals and Quotient Rings
Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan 26 Ideals and Quotient Rings In this section we develop some theory of rings that parallels the theory of groups discussed
More informationMathematics Course 111: Algebra I Part IV: Vector Spaces
Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are
More informationChapter 13: Basic ring theory
Chapter 3: Basic ring theory Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 42, Spring 24 M. Macauley (Clemson) Chapter 3: Basic ring
More informationSYSTEMS OF EQUATIONS AND MATRICES WITH THE TI-89. by Joseph Collison
SYSTEMS OF EQUATIONS AND MATRICES WITH THE TI-89 by Joseph Collison Copyright 2000 by Joseph Collison All rights reserved Reproduction or translation of any part of this work beyond that permitted by Sections
More informationMath 115A HW4 Solutions University of California, Los Angeles. 5 2i 6 + 4i. (5 2i)7i (6 + 4i)( 3 + i) = 35i + 14 ( 22 6i) = 36 + 41i.
Math 5A HW4 Solutions September 5, 202 University of California, Los Angeles Problem 4..3b Calculate the determinant, 5 2i 6 + 4i 3 + i 7i Solution: The textbook s instructions give us, (5 2i)7i (6 + 4i)(
More information. 0 1 10 2 100 11 1000 3 20 1 2 3 4 5 6 7 8 9
Introduction The purpose of this note is to find and study a method for determining and counting all the positive integer divisors of a positive integer Let N be a given positive integer We say d is a
More informationCONTENTS 1. Peter Kahn. Spring 2007
CONTENTS 1 MATH 304: CONSTRUCTING THE REAL NUMBERS Peter Kahn Spring 2007 Contents 2 The Integers 1 2.1 The basic construction.......................... 1 2.2 Adding integers..............................
More informationGENERATING SETS KEITH CONRAD
GENERATING SETS KEITH CONRAD 1 Introduction In R n, every vector can be written as a unique linear combination of the standard basis e 1,, e n A notion weaker than a basis is a spanning set: a set of vectors
More informationMatrix Algebra. Some Basic Matrix Laws. Before reading the text or the following notes glance at the following list of basic matrix algebra laws.
Matrix Algebra A. Doerr Before reading the text or the following notes glance at the following list of basic matrix algebra laws. Some Basic Matrix Laws Assume the orders of the matrices are such that
More informationSolving Linear Systems, Continued and The Inverse of a Matrix
, Continued and The of a Matrix Calculus III Summer 2013, Session II Monday, July 15, 2013 Agenda 1. The rank of a matrix 2. The inverse of a square matrix Gaussian Gaussian solves a linear system by reducing
More informationa 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.
Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given
More information1 Homework 1. [p 0 q i+j +... + p i 1 q j+1 ] + [p i q j ] + [p i+1 q j 1 +... + p i+j q 0 ]
1 Homework 1 (1) Prove the ideal (3,x) is a maximal ideal in Z[x]. SOLUTION: Suppose we expand this ideal by including another generator polynomial, P / (3, x). Write P = n + x Q with n an integer not
More informationSuk-Geun Hwang and Jin-Woo Park
Bull. Korean Math. Soc. 43 (2006), No. 3, pp. 471 478 A NOTE ON PARTIAL SIGN-SOLVABILITY Suk-Geun Hwang and Jin-Woo Park Abstract. In this paper we prove that if Ax = b is a partial signsolvable linear
More informationADDITIVE GROUPS OF RINGS WITH IDENTITY
ADDITIVE GROUPS OF RINGS WITH IDENTITY SIMION BREAZ AND GRIGORE CĂLUGĂREANU Abstract. A ring with identity exists on a torsion Abelian group exactly when the group is bounded. The additive groups of torsion-free
More informationSimilarity and Diagonalization. Similar Matrices
MATH022 Linear Algebra Brief lecture notes 48 Similarity and Diagonalization Similar Matrices Let A and B be n n matrices. We say that A is similar to B if there is an invertible n n matrix P such that
More informationSo let us begin our quest to find the holy grail of real analysis.
1 Section 5.2 The Complete Ordered Field: Purpose of Section We present an axiomatic description of the real numbers as a complete ordered field. The axioms which describe the arithmetic of the real numbers
More informationMATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS 1. SYSTEMS OF EQUATIONS AND MATRICES 1.1. Representation of a linear system. The general system of m equations in n unknowns can be written a 11 x 1 + a 12 x 2 +
More informationQuotient Rings and Field Extensions
Chapter 5 Quotient Rings and Field Extensions In this chapter we describe a method for producing field extension of a given field. If F is a field, then a field extension is a field K that contains F.
More information3. Prime and maximal ideals. 3.1. Definitions and Examples.
COMMUTATIVE ALGEBRA 5 3.1. Definitions and Examples. 3. Prime and maximal ideals Definition. An ideal P in a ring A is called prime if P A and if for every pair x, y of elements in A\P we have xy P. Equivalently,
More informationSolution to Homework 2
Solution to Homework 2 Olena Bormashenko September 23, 2011 Section 1.4: 1(a)(b)(i)(k), 4, 5, 14; Section 1.5: 1(a)(b)(c)(d)(e)(n), 2(a)(c), 13, 16, 17, 18, 27 Section 1.4 1. Compute the following, if
More informationMATRIX ALGEBRA AND SYSTEMS OF EQUATIONS
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS Systems of Equations and Matrices Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a
More informationDegree Hypergroupoids Associated with Hypergraphs
Filomat 8:1 (014), 119 19 DOI 10.98/FIL1401119F Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Degree Hypergroupoids Associated
More informationMATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.
MATH10212 Linear Algebra Textbook: D. Poole, Linear Algebra: A Modern Introduction. Thompson, 2006. ISBN 0-534-40596-7. Systems of Linear Equations Definition. An n-dimensional vector is a row or a column
More informationNon-unique factorization of polynomials over residue class rings of the integers
Comm. Algebra 39(4) 2011, pp 1482 1490 Non-unique factorization of polynomials over residue class rings of the integers Christopher Frei and Sophie Frisch Abstract. We investigate non-unique factorization
More information1.2 Solving a System of Linear Equations
1.. SOLVING A SYSTEM OF LINEAR EQUATIONS 1. Solving a System of Linear Equations 1..1 Simple Systems - Basic De nitions As noticed above, the general form of a linear system of m equations in n variables
More informationRow Ideals and Fibers of Morphisms
Michigan Math. J. 57 (2008) Row Ideals and Fibers of Morphisms David Eisenbud & Bernd Ulrich Affectionately dedicated to Mel Hochster, who has been an inspiration to us for many years, on the occasion
More informationLinear Algebra Notes for Marsden and Tromba Vector Calculus
Linear Algebra Notes for Marsden and Tromba Vector Calculus n-dimensional Euclidean Space and Matrices Definition of n space As was learned in Math b, a point in Euclidean three space can be thought of
More informationRINGS OF ZERO-DIVISORS
RINGS OF ZERO-DIVISORS P. M. COHN 1. Introduction. A well known theorem of algebra states that any integral domain can be embedded in a field. More generally [2, p. 39 ff. ], any commutative ring R with
More informationON UNIQUE FACTORIZATION DOMAINS
ON UNIQUE FACTORIZATION DOMAINS JIM COYKENDALL AND WILLIAM W. SMITH Abstract. In this paper we attempt to generalize the notion of unique factorization domain in the spirit of half-factorial domain. It
More informationNilpotent Lie and Leibniz Algebras
This article was downloaded by: [North Carolina State University] On: 03 March 2014, At: 08:05 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered
More informationMATH PROBLEMS, WITH SOLUTIONS
MATH PROBLEMS, WITH SOLUTIONS OVIDIU MUNTEANU These are free online notes that I wrote to assist students that wish to test their math skills with some problems that go beyond the usual curriculum. These
More informationJust the Factors, Ma am
1 Introduction Just the Factors, Ma am The purpose of this note is to find and study a method for determining and counting all the positive integer divisors of a positive integer Let N be a given positive
More information(a) Write each of p and q as a polynomial in x with coefficients in Z[y, z]. deg(p) = 7 deg(q) = 9
Homework #01, due 1/20/10 = 9.1.2, 9.1.4, 9.1.6, 9.1.8, 9.2.3 Additional problems for study: 9.1.1, 9.1.3, 9.1.5, 9.1.13, 9.2.1, 9.2.2, 9.2.4, 9.2.5, 9.2.6, 9.3.2, 9.3.3 9.1.1 (This problem was not assigned
More informationMatrix Representations of Linear Transformations and Changes of Coordinates
Matrix Representations of Linear Transformations and Changes of Coordinates 01 Subspaces and Bases 011 Definitions A subspace V of R n is a subset of R n that contains the zero element and is closed under
More informationINCIDENCE-BETWEENNESS GEOMETRY
INCIDENCE-BETWEENNESS GEOMETRY MATH 410, CSUSM. SPRING 2008. PROFESSOR AITKEN This document covers the geometry that can be developed with just the axioms related to incidence and betweenness. The full
More informationFactorization in Polynomial Rings
Factorization in Polynomial Rings These notes are a summary of some of the important points on divisibility in polynomial rings from 17 and 18 of Gallian s Contemporary Abstract Algebra. Most of the important
More information4. FIRST STEPS IN THE THEORY 4.1. A
4. FIRST STEPS IN THE THEORY 4.1. A Catalogue of All Groups: The Impossible Dream The fundamental problem of group theory is to systematically explore the landscape and to chart what lies out there. We
More informationit is easy to see that α = a
21. Polynomial rings Let us now turn out attention to determining the prime elements of a polynomial ring, where the coefficient ring is a field. We already know that such a polynomial ring is a UF. Therefore
More informationOn one-factorizations of replacement products
Filomat 27:1 (2013), 57 63 DOI 10.2298/FIL1301057A Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat On one-factorizations of replacement
More informationHow To Know If A Domain Is Unique In An Octempo (Euclidean) Or Not (Ecl)
Subsets of Euclidean domains possessing a unique division algorithm Andrew D. Lewis 2009/03/16 Abstract Subsets of a Euclidean domain are characterised with the following objectives: (1) ensuring uniqueness
More informationDecember 4, 2013 MATH 171 BASIC LINEAR ALGEBRA B. KITCHENS
December 4, 2013 MATH 171 BASIC LINEAR ALGEBRA B KITCHENS The equation 1 Lines in two-dimensional space (1) 2x y = 3 describes a line in two-dimensional space The coefficients of x and y in the equation
More informationAbstract Algebra Cheat Sheet
Abstract Algebra Cheat Sheet 16 December 2002 By Brendan Kidwell, based on Dr. Ward Heilman s notes for his Abstract Algebra class. Notes: Where applicable, page numbers are listed in parentheses at the
More informationGeometric Transformations
Geometric Transformations Definitions Def: f is a mapping (function) of a set A into a set B if for every element a of A there exists a unique element b of B that is paired with a; this pairing is denoted
More informationLecture 1: Systems of Linear Equations
MTH Elementary Matrix Algebra Professor Chao Huang Department of Mathematics and Statistics Wright State University Lecture 1 Systems of Linear Equations ² Systems of two linear equations with two variables
More informationSHARP BOUNDS FOR THE SUM OF THE SQUARES OF THE DEGREES OF A GRAPH
31 Kragujevac J. Math. 25 (2003) 31 49. SHARP BOUNDS FOR THE SUM OF THE SQUARES OF THE DEGREES OF A GRAPH Kinkar Ch. Das Department of Mathematics, Indian Institute of Technology, Kharagpur 721302, W.B.,
More informationLinear Maps. Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (February 5, 2007)
MAT067 University of California, Davis Winter 2007 Linear Maps Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (February 5, 2007) As we have discussed in the lecture on What is Linear Algebra? one of
More informationChapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm.
Chapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm. We begin by defining the ring of polynomials with coefficients in a ring R. After some preliminary results, we specialize
More informationNotes on Determinant
ENGG2012B Advanced Engineering Mathematics Notes on Determinant Lecturer: Kenneth Shum Lecture 9-18/02/2013 The determinant of a system of linear equations determines whether the solution is unique, without
More informationClass One: Degree Sequences
Class One: Degree Sequences For our purposes a graph is a just a bunch of points, called vertices, together with lines or curves, called edges, joining certain pairs of vertices. Three small examples of
More informationRotation Matrices and Homogeneous Transformations
Rotation Matrices and Homogeneous Transformations A coordinate frame in an n-dimensional space is defined by n mutually orthogonal unit vectors. In particular, for a two-dimensional (2D) space, i.e., n
More informationFOUNDATIONS OF ALGEBRAIC GEOMETRY CLASS 22
FOUNDATIONS OF ALGEBRAIC GEOMETRY CLASS 22 RAVI VAKIL CONTENTS 1. Discrete valuation rings: Dimension 1 Noetherian regular local rings 1 Last day, we discussed the Zariski tangent space, and saw that it
More informationUsing row reduction to calculate the inverse and the determinant of a square matrix
Using row reduction to calculate the inverse and the determinant of a square matrix Notes for MATH 0290 Honors by Prof. Anna Vainchtein 1 Inverse of a square matrix An n n square matrix A is called invertible
More informationDATA ANALYSIS II. Matrix Algorithms
DATA ANALYSIS II Matrix Algorithms Similarity Matrix Given a dataset D = {x i }, i=1,..,n consisting of n points in R d, let A denote the n n symmetric similarity matrix between the points, given as where
More information1 if 1 x 0 1 if 0 x 1
Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or
More informationSMALL SKEW FIELDS CÉDRIC MILLIET
SMALL SKEW FIELDS CÉDRIC MILLIET Abstract A division ring of positive characteristic with countably many pure types is a field Wedderburn showed in 1905 that finite fields are commutative As for infinite
More informationSystems of Linear Equations
Systems of Linear Equations Beifang Chen Systems of linear equations Linear systems A linear equation in variables x, x,, x n is an equation of the form a x + a x + + a n x n = b, where a, a,, a n and
More informationDETERMINANTS IN THE KRONECKER PRODUCT OF MATRICES: THE INCIDENCE MATRIX OF A COMPLETE GRAPH
DETERMINANTS IN THE KRONECKER PRODUCT OF MATRICES: THE INCIDENCE MATRIX OF A COMPLETE GRAPH CHRISTOPHER RH HANUSA AND THOMAS ZASLAVSKY Abstract We investigate the least common multiple of all subdeterminants,
More information160 CHAPTER 4. VECTOR SPACES
160 CHAPTER 4. VECTOR SPACES 4. Rank and Nullity In this section, we look at relationships between the row space, column space, null space of a matrix and its transpose. We will derive fundamental results
More informationHandout #1: Mathematical Reasoning
Math 101 Rumbos Spring 2010 1 Handout #1: Mathematical Reasoning 1 Propositional Logic A proposition is a mathematical statement that it is either true or false; that is, a statement whose certainty or
More informationUnique Factorization
Unique Factorization Waffle Mathcamp 2010 Throughout these notes, all rings will be assumed to be commutative. 1 Factorization in domains: definitions and examples In this class, we will study the phenomenon
More informationAu = = = 3u. Aw = = = 2w. so the action of A on u and w is very easy to picture: it simply amounts to a stretching by 3 and 2, respectively.
Chapter 7 Eigenvalues and Eigenvectors In this last chapter of our exploration of Linear Algebra we will revisit eigenvalues and eigenvectors of matrices, concepts that were already introduced in Geometry
More informationMATH10040 Chapter 2: Prime and relatively prime numbers
MATH10040 Chapter 2: Prime and relatively prime numbers Recall the basic definition: 1. Prime numbers Definition 1.1. Recall that a positive integer is said to be prime if it has precisely two positive
More informationA REMARK ON ALMOST MOORE DIGRAPHS OF DEGREE THREE. 1. Introduction and Preliminaries
Acta Math. Univ. Comenianae Vol. LXVI, 2(1997), pp. 285 291 285 A REMARK ON ALMOST MOORE DIGRAPHS OF DEGREE THREE E. T. BASKORO, M. MILLER and J. ŠIRÁŇ Abstract. It is well known that Moore digraphs do
More informationmost 4 Mirka Miller 1,2, Guillermo Pineda-Villavicencio 3, The University of Newcastle Callaghan, NSW 2308, Australia University of West Bohemia
Complete catalogue of graphs of maimum degree 3 and defect at most 4 Mirka Miller 1,2, Guillermo Pineda-Villavicencio 3, 1 School of Electrical Engineering and Computer Science The University of Newcastle
More information26 Integers: Multiplication, Division, and Order
26 Integers: Multiplication, Division, and Order Integer multiplication and division are extensions of whole number multiplication and division. In multiplying and dividing integers, the one new issue
More informationCOMBINATORIAL PROPERTIES OF THE HIGMAN-SIMS GRAPH. 1. Introduction
COMBINATORIAL PROPERTIES OF THE HIGMAN-SIMS GRAPH ZACHARY ABEL 1. Introduction In this survey we discuss properties of the Higman-Sims graph, which has 100 vertices, 1100 edges, and is 22 regular. In fact
More informationT ( a i x i ) = a i T (x i ).
Chapter 2 Defn 1. (p. 65) Let V and W be vector spaces (over F ). We call a function T : V W a linear transformation form V to W if, for all x, y V and c F, we have (a) T (x + y) = T (x) + T (y) and (b)
More informationG = G 0 > G 1 > > G k = {e}
Proposition 49. 1. A group G is nilpotent if and only if G appears as an element of its upper central series. 2. If G is nilpotent, then the upper central series and the lower central series have the same
More information8 Divisibility and prime numbers
8 Divisibility and prime numbers 8.1 Divisibility In this short section we extend the concept of a multiple from the natural numbers to the integers. We also summarize several other terms that express
More informationMath Review. for the Quantitative Reasoning Measure of the GRE revised General Test
Math Review for the Quantitative Reasoning Measure of the GRE revised General Test www.ets.org Overview This Math Review will familiarize you with the mathematical skills and concepts that are important
More informationUniversity of Lille I PC first year list of exercises n 7. Review
University of Lille I PC first year list of exercises n 7 Review Exercise Solve the following systems in 4 different ways (by substitution, by the Gauss method, by inverting the matrix of coefficients
More information4. CLASSES OF RINGS 4.1. Classes of Rings class operator A-closed Example 1: product Example 2:
4. CLASSES OF RINGS 4.1. Classes of Rings Normally we associate, with any property, a set of objects that satisfy that property. But problems can arise when we allow sets to be elements of larger sets
More informationBoolean Algebra Part 1
Boolean Algebra Part 1 Page 1 Boolean Algebra Objectives Understand Basic Boolean Algebra Relate Boolean Algebra to Logic Networks Prove Laws using Truth Tables Understand and Use First Basic Theorems
More informationON GENERALIZED RELATIVE COMMUTATIVITY DEGREE OF A FINITE GROUP. A. K. Das and R. K. Nath
International Electronic Journal of Algebra Volume 7 (2010) 140-151 ON GENERALIZED RELATIVE COMMUTATIVITY DEGREE OF A FINITE GROUP A. K. Das and R. K. Nath Received: 12 October 2009; Revised: 15 December
More information1 Symmetries of regular polyhedra
1230, notes 5 1 Symmetries of regular polyhedra Symmetry groups Recall: Group axioms: Suppose that (G, ) is a group and a, b, c are elements of G. Then (i) a b G (ii) (a b) c = a (b c) (iii) There is an
More informationGROUP ALGEBRAS. ANDREI YAFAEV
GROUP ALGEBRAS. ANDREI YAFAEV We will associate a certain algebra to a finite group and prove that it is semisimple. Then we will apply Wedderburn s theory to its study. Definition 0.1. Let G be a finite
More information4: EIGENVALUES, EIGENVECTORS, DIAGONALIZATION
4: EIGENVALUES, EIGENVECTORS, DIAGONALIZATION STEVEN HEILMAN Contents 1. Review 1 2. Diagonal Matrices 1 3. Eigenvectors and Eigenvalues 2 4. Characteristic Polynomial 4 5. Diagonalizability 6 6. Appendix:
More information1 Sets and Set Notation.
LINEAR ALGEBRA MATH 27.6 SPRING 23 (COHEN) LECTURE NOTES Sets and Set Notation. Definition (Naive Definition of a Set). A set is any collection of objects, called the elements of that set. We will most
More informationCOMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS
Bull Austral Math Soc 77 (2008), 31 36 doi: 101017/S0004972708000038 COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS IGOR V EROVENKO and B SURY (Received 12 April 2007) Abstract We compute
More informationStationary random graphs on Z with prescribed iid degrees and finite mean connections
Stationary random graphs on Z with prescribed iid degrees and finite mean connections Maria Deijfen Johan Jonasson February 2006 Abstract Let F be a probability distribution with support on the non-negative
More informationAXIOMS FOR INVARIANT FACTORS*
PORTUGALIAE MATHEMATICA Vol 54 Fasc 3 1997 AXIOMS FOR INVARIANT FACTORS* João Filipe Queiró Abstract: We show that the invariant factors of matrices over certain types of rings are characterized by a short
More informationThe chromatic spectrum of mixed hypergraphs
The chromatic spectrum of mixed hypergraphs Tao Jiang, Dhruv Mubayi, Zsolt Tuza, Vitaly Voloshin, Douglas B. West March 30, 2003 Abstract A mixed hypergraph is a triple H = (X, C, D), where X is the vertex
More informationArkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan
Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan 3 Binary Operations We are used to addition and multiplication of real numbers. These operations combine two real numbers
More informationZachary Monaco Georgia College Olympic Coloring: Go For The Gold
Zachary Monaco Georgia College Olympic Coloring: Go For The Gold Coloring the vertices or edges of a graph leads to a variety of interesting applications in graph theory These applications include various
More informationMath 319 Problem Set #3 Solution 21 February 2002
Math 319 Problem Set #3 Solution 21 February 2002 1. ( 2.1, problem 15) Find integers a 1, a 2, a 3, a 4, a 5 such that every integer x satisfies at least one of the congruences x a 1 (mod 2), x a 2 (mod
More informationCacti with minimum, second-minimum, and third-minimum Kirchhoff indices
MATHEMATICAL COMMUNICATIONS 47 Math. Commun., Vol. 15, No. 2, pp. 47-58 (2010) Cacti with minimum, second-minimum, and third-minimum Kirchhoff indices Hongzhuan Wang 1, Hongbo Hua 1, and Dongdong Wang
More informationThe components of a variety of matrices with square zero and submaximal rank
The components of a variety of matrices with square zero and submaximal ran DIKRAN KARAGUEUZIAN Mathematics Department, SUNY Binghamton, Binghamton, NY 13902, USA E-mail: diran@math.binghamton.edu BOB
More informationFactoring Polynomials
Factoring Polynomials Sue Geller June 19, 2006 Factoring polynomials over the rational numbers, real numbers, and complex numbers has long been a standard topic of high school algebra. With the advent
More informationThe Determinant: a Means to Calculate Volume
The Determinant: a Means to Calculate Volume Bo Peng August 20, 2007 Abstract This paper gives a definition of the determinant and lists many of its well-known properties Volumes of parallelepipeds are
More informationFactoring of Prime Ideals in Extensions
Chapter 4 Factoring of Prime Ideals in Extensions 4. Lifting of Prime Ideals Recall the basic AKLB setup: A is a Dedekind domain with fraction field K, L is a finite, separable extension of K of degree
More informationChapter 7. Matrices. Definition. An m n matrix is an array of numbers set out in m rows and n columns. Examples. ( 1 1 5 2 0 6
Chapter 7 Matrices Definition An m n matrix is an array of numbers set out in m rows and n columns Examples (i ( 1 1 5 2 0 6 has 2 rows and 3 columns and so it is a 2 3 matrix (ii 1 0 7 1 2 3 3 1 is a
More informationSection 4.2: The Division Algorithm and Greatest Common Divisors
Section 4.2: The Division Algorithm and Greatest Common Divisors The Division Algorithm The Division Algorithm is merely long division restated as an equation. For example, the division 29 r. 20 32 948
More informationLinear Algebra Notes
Linear Algebra Notes Chapter 19 KERNEL AND IMAGE OF A MATRIX Take an n m matrix a 11 a 12 a 1m a 21 a 22 a 2m a n1 a n2 a nm and think of it as a function A : R m R n The kernel of A is defined as Note
More informationElements of Abstract Group Theory
Chapter 2 Elements of Abstract Group Theory Mathematics is a game played according to certain simple rules with meaningless marks on paper. David Hilbert The importance of symmetry in physics, and for
More informationFUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES
FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES CHRISTOPHER HEIL 1. Cosets and the Quotient Space Any vector space is an abelian group under the operation of vector addition. So, if you are have studied
More informationPYTHAGOREAN TRIPLES KEITH CONRAD
PYTHAGOREAN TRIPLES KEITH CONRAD 1. Introduction A Pythagorean triple is a triple of positive integers (a, b, c) where a + b = c. Examples include (3, 4, 5), (5, 1, 13), and (8, 15, 17). Below is an ancient
More informationThe last three chapters introduced three major proof techniques: direct,
CHAPTER 7 Proving Non-Conditional Statements The last three chapters introduced three major proof techniques: direct, contrapositive and contradiction. These three techniques are used to prove statements
More information