P. V. Danchev on the IDEMPOTENT and NILPOTENT SUM NUMBERS
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Single Elements
Beitr¨agezur Algebra und Geometrie Contributions to Algebra and Geometry Volume 47 (2006), No. 1, 275-288. Single Elements B. J. Gardner Gordon Mason Department of Mathematics, University of Tasmania Hobart, Tasmania, Australia Department of Mathematics & Statistics, University of New Brunswick Fredericton, N.B., Canada Abstract. In this paper we consider single elements in rings and near- rings. If R is a (near)ring, x ∈ R is called single if axb = 0 ⇒ ax = 0 or xb = 0. In seeking rings in which each element is single, we are led to consider 0-simple rings, a class which lies between division rings and simple rings. MSC 2000: 16U99 (primary), 16Y30 (secondary) Introduction If R is a (not necessarily unital) ring, an element s is called single if whenever asb = 0 then as = 0 or sb = 0. The definition was first given by J. Erdos [2] who used it to obtain results in the representation theory of normed algebras. More recently the idea has been applied by Longstaff and Panaia to certain matrix algebras (see [9] and its bibliography) and they suggest it might be worthy of further study in other contexts. In seeking rings in which every element is single we are led to consider 0-simple rings, a class which lies between division rings and simple rings. In the final section we examine the situation in nearrings and obtain information about minimal N-subgroups of some centralizer nearrings. 1. Single elements in rings We begin with a slightly more general definition. If I is a one-sided ideal in a ring R an element x ∈ R will be called I-single if axb ∈ I ⇒ ax ∈ I or xb ∈ I. -
ON FULLY IDEMPOTENT RINGS 1. Introduction Throughout This Note
Bull. Korean Math. Soc. 47 (2010), No. 4, pp. 715–726 DOI 10.4134/BKMS.2010.47.4.715 ON FULLY IDEMPOTENT RINGS Young Cheol Jeon, Nam Kyun Kim, and Yang Lee Abstract. We continue the study of fully idempotent rings initiated by Courter. It is shown that a (semi)prime ring, but not fully idempotent, can be always constructed from any (semi)prime ring. It is shown that the full idempotence is both Morita invariant and a hereditary radical property, obtaining hs(Matn(R)) = Matn(hs(R)) for any ring R where hs(−) means the sum of all fully idempotent ideals. A non-semiprimitive fully idempotent ring with identity is constructed from the Smoktunow- icz’s simple nil ring. It is proved that the full idempotence is preserved by the classical quotient rings. More properties of fully idempotent rings are examined and necessary examples are found or constructed in the process. 1. Introduction Throughout this note each ring is associative with identity unless stated otherwise. Given a ring R, denote the n by n full (resp. upper triangular) matrix ring over R by Matn(R) (resp. Un(R)). Use Eij for the matrix with (i, j)-entry 1 and elsewhere 0. Z denotes the ring of integers. A ring (possibly without identity) is called reduced if it has no nonzero nilpotent elements. A ring (possibly without identity) is called semiprime if the prime radical is zero. Reduced rings are clearly semiprime and note that a commutative ring is semiprime if and only if it is reduced. The study of fully idempotent rings was initiated by Courter [2]. -
Stat 5102 Notes: Regression
Stat 5102 Notes: Regression Charles J. Geyer April 27, 2007 In these notes we do not use the “upper case letter means random, lower case letter means nonrandom” convention. Lower case normal weight letters (like x and β) indicate scalars (real variables). Lowercase bold weight letters (like x and β) indicate vectors. Upper case bold weight letters (like X) indicate matrices. 1 The Model The general linear model has the form p X yi = βjxij + ei (1.1) j=1 where i indexes individuals and j indexes different predictor variables. Ex- plicit use of (1.1) makes theory impossibly messy. We rewrite it as a vector equation y = Xβ + e, (1.2) where y is a vector whose components are yi, where X is a matrix whose components are xij, where β is a vector whose components are βj, and where e is a vector whose components are ei. Note that y and e have dimension n, but β has dimension p. The matrix X is called the design matrix or model matrix and has dimension n × p. As always in regression theory, we treat the predictor variables as non- random. So X is a nonrandom matrix, β is a nonrandom vector of unknown parameters. The only random quantities in (1.2) are e and y. As always in regression theory the errors ei are independent and identi- cally distributed mean zero normal. This is written as a vector equation e ∼ Normal(0, σ2I), where σ2 is another unknown parameter (the error variance) and I is the identity matrix. This implies y ∼ Normal(µ, σ2I), 1 where µ = Xβ. -
Idempotent Lifting and Ring Extensions
IDEMPOTENT LIFTING AND RING EXTENSIONS ALEXANDER J. DIESL, SAMUEL J. DITTMER, AND PACE P. NIELSEN Abstract. We answer multiple open questions concerning lifting of idempotents that appear in the literature. Most of the results are obtained by constructing explicit counter-examples. For instance, we provide a ring R for which idempotents lift modulo the Jacobson radical J(R), but idempotents do not lift modulo J(M2(R)). Thus, the property \idempotents lift modulo the Jacobson radical" is not a Morita invariant. We also prove that if I and J are ideals of R for which idempotents lift (even strongly), then it can be the case that idempotents do not lift over I + J. On the positive side, if I and J are enabling ideals in R, then I + J is also an enabling ideal. We show that if I E R is (weakly) enabling in R, then I[t] is not necessarily (weakly) enabling in R[t] while I t is (weakly) enabling in R t . The latter result is a special case of a more general theorem about completions.J K Finally, we give examplesJ K showing that conjugate idempotents are not necessarily related by a string of perspectivities. 1. Introduction In ring theory it is useful to be able to lift properties of a factor ring of R back to R itself. This is often accomplished by restricting to a nice class of rings. Indeed, certain common classes of rings are defined precisely in terms of such lifting properties. For instance, semiperfect rings are those rings R for which R=J(R) is semisimple and idempotents lift modulo the Jacobson radical. -
SPECIAL CLEAN ELEMENTS in RINGS 1. Introduction for Any Unital
SPECIAL CLEAN ELEMENTS IN RINGS DINESH KHURANA, T. Y. LAM, PACE P. NIELSEN, AND JANEZ STERˇ Abstract. A clean decomposition a = e + u in a ring R (with idempotent e and unit u) is said to be special if aR \ eR = 0. We show that this is a left-right symmetric condition. Special clean elements (with such decompositions) exist in abundance, and are generally quite accessible to computations. Besides being both clean and unit-regular, they have many remarkable properties with respect to element-wise operations in rings. Several characterizations of special clean elements are obtained in terms of exchange equations, Bott-Duffin invertibility, and unit-regular factorizations. Such characterizations lead to some interesting constructions of families of special clean elements. Decompositions that are both special clean and strongly clean are precisely spectral decompositions of the group invertible elements. The paper also introduces a natural involution structure on the set of special clean decompositions, and describes the fixed point set of this involution. 1. Introduction For any unital ring R, the definition of the set of special clean elements in R is motivated by the earlier introduction of the following three well known sets: sreg (R) ⊆ ureg (R) ⊆ reg (R): To recall the definition of these sets, let I(a) = fr 2 R : a = arag denote the set of \inner inverses" for a (as in [28]). Using this notation, the set of regular elements reg (R) consists of a 2 R for which I (a) is nonempty, the set of unit-regular elements ureg (R) consists of a 2 R for which I (a) contains a unit, and the set of strongly regular elements sreg (R) consists of a 2 R for which I (a) contains an element commuting with a. -
DECOMPOSITION of SINGULAR MATRICES INTO IDEMPOTENTS 11 Us Show How to Construct Ai+1, Bi+1, Ci+1, Di+1
DECOMPOSITION OF SINGULAR MATRICES INTO IDEMPOTENTS ADEL ALAHMADI, S. K. JAIN, AND ANDRE LEROY Abstract. In this paper we provide concrete constructions of idempotents to represent typical singular matrices over a given ring as a product of idempo- tents and apply these factorizations for proving our main results. We generalize works due to Laffey ([12]) and Rao ([3]) to noncommutative setting and fill in the gaps in the original proof of Rao's main theorems (cf. [3], Theorems 5 and 7 and [4]). We also consider singular matrices over B´ezoutdomains as to when such a matrix is a product of idempotent matrices. 1. Introduction and definitions It was shown by Howie [10] that every mapping from a finite set X to itself with image of cardinality ≤ cardX − 1 is a product of idempotent mappings. Erd¨os[7] showed that every singular square matrix over a field can be expressed as a product of idempotent matrices and this was generalized by several authors to certain classes of rings, in particular, to division rings and euclidean domains [12]. Turning to singular elements let us mention two results: Rao [3] characterized, via continued fractions, singular matrices over a commutative PID that can be decomposed as a product of idempotent matrices and Hannah-O'Meara [9] showed, among other results, that for a right self-injective regular ring R, an element a is a product of idempotents if and only if Rr:ann(a) = l:ann(a)R= R(1 − a)R. The purpose of this paper is to provide concrete constructions of idempotents to represent typical singular matrices over a given ring as a product of idempotents and to apply these factorizations for proving our main results. -
A GENERALIZATION of BAER RINGS K. Paykan1 §, A. Moussavi2
International Journal of Pure and Applied Mathematics Volume 99 No. 3 2015, 257-275 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu AP doi: http://dx.doi.org/10.12732/ijpam.v99i3.3 ijpam.eu A GENERALIZATION OF BAER RINGS K. Paykan1 §, A. Moussavi2 1Department of Mathematics Garmsar Branch Islamic Azad University Garmsar, IRAN 2Department of Pure Mathematics Faculty of Mathematical Sciences Tarbiat Modares University P.O. Box 14115-134, Tehran, IRAN Abstract: A ring R is called generalized right Baer if for any non-empty subset n S of R, the right annihilator rR(S ) is generated by an idempotent for some positive integer n. Generalized Baer rings are special cases of generalized PP rings and a generalization of Baer rings. In this paper, many properties of these rings are studied and some characterizations of von Neumann regular rings and PP rings are extended. The behavior of the generalized right Baer condition is investigated with respect to various constructions and extensions and it is used to generalize many results on Baer rings and generalized right PP-rings. Some families of generalized right Baer-rings are presented and connections to related classes of rings are investigated. AMS Subject Classification: 16S60, 16D70, 16S50, 16D20, 16L30 Key Words: generalized p.q.-Baer ring, generalized PP-ring, PP-ring, quasi Baer ring, Baer ring, Armendariz ring, annihilator 1. Introduction Throughout this paper all rings are associative with identity and all modules are unital. Recall from [15] that R is a Baer ring if the right annihilator of c 2015 Academic Publications, Ltd. -
Recollements of Module Categories 2
RECOLLEMENTS OF MODULE CATEGORIES CHRYSOSTOMOS PSAROUDAKIS, JORGE VITORIA´ Abstract. We establish a correspondence between recollements of abelian categories up to equivalence and certain TTF-triples. For a module category we show, moreover, a correspondence with idempotent ideals, recovering a theorem of Jans. Furthermore, we show that a recollement whose terms are module categories is equivalent to one induced by an idempotent element, thus answering a question by Kuhn. 1. Introduction A recollement of abelian categories is an exact sequence of abelian categories where both the inclusion and the quotient functors admit left and right adjoints. They first appeared in the construction of the category of perverse sheaves on a singular space by Beilinson, Bernstein and Deligne ([5]), arising from recollements of triangulated categories with additional structures (compatible t-structures). Properties of recollements of abelian categories were more recently studied by Franjou and Pirashvilli in [12], motivated by the MacPherson-Vilonen construction for the category of perverse sheaves ([23]). Recollements of abelian categories were used by Cline, Parshall and Scott to study module categories of finite dimensional algebras over a field (see [28]). Later, Kuhn used them in the study of polynomial functors ([20]), which arise not only in representation theory but also in algebraic topology and algebraic K-theory. Recollements of triangulated categories have appeared in the work of Angeleri H¨ugel, Koenig and Liu in connection with tilting theory, homological conjectures and stratifications of derived categories of rings ([1], [2], [3]). In particular, Jordan-H¨older theorems for recollements of derived module categories were obtained for some classes of algebras ([2], [3]). -
Mathematics Study Guide
Mathematics Study Guide Matthew Chesnes The London School of Economics September 28, 2001 1 Arithmetic of N-Tuples • Vectors specificed by direction and length. The length of a vector is called its magnitude p 2 2 or “norm.” For example, x = (x1, x2). Thus, the norm of x is: ||x|| = x1 + x2. pPn 2 • Generally for a vector, ~x = (x1, x2, x3, ..., xn), ||x|| = i=1 xi . • Vector Order: consider two vectors, ~x, ~y. Then, ~x> ~y iff xi ≥ yi ∀ i and xi > yi for some i. ~x>> ~y iff xi > yi ∀ i. • Convex Sets: A set is convex if whenever is contains x0 and x00, it also contains the line segment, (1 − α)x0 + αx00. 2 2 Vector Space Formulations in Economics • We expect a consumer to have a complete (preference) order over all consumption bundles x in his consumption set. If he prefers x to x0, we write, x x0. If he’s indifferent between x and x0, we write, x ∼ x0. Finally, if he weakly prefers x to x0, we write x x0. • The set X, {x ∈ X : x xˆ ∀ xˆ ∈ X}, is a convex set. It is all bundles of goods that make the consumer at least as well off as with his current bundle. 3 3 Complex Numbers • Define complex numbers as ordered pairs such that the first element in the vector is the real part of the number and the second is complex. Thus, the real number -1 is denoted by (-1,0). A complex number, 2+3i, can be expressed (2,3). • Define multiplication on the complex numbers as, Z · Z0 = (a, b) · (c, d) = (ac − bd, ad + bc). -
Block Diagonalization
126 (2001) MATHEMATICA BOHEMICA No. 1, 237–246 BLOCK DIAGONALIZATION J. J. Koliha, Melbourne (Received June 15, 1999) Abstract. We study block diagonalization of matrices induced by resolutions of the unit matrix into the sum of idempotent matrices. We show that the block diagonal matrices have disjoint spectra if and only if each idempotent matrix in the inducing resolution dou- ble commutes with the given matrix. Applications include a new characterization of an eigenprojection and of the Drazin inverse of a given matrix. Keywords: eigenprojection, resolutions of the unit matrix, block diagonalization MSC 2000 : 15A21, 15A27, 15A18, 15A09 1. Introduction and preliminaries In this paper we are concerned with a block diagonalization of a given matrix A; by definition, A is block diagonalizable if it is similar to a matrix of the form A1 0 ... 0 0 A2 ... 0 (1.1) =diag(A1,...,Am). ... ... 00... Am Then the spectrum σ(A)ofA is the union of the spectra σ(A1),...,σ(Am), which in general need not be disjoint. The ultimate such diagonalization is the Jordan form of the matrix; however, it is often advantageous to utilize a coarser diagonalization, easier to construct, and customized to a particular distribution of the eigenvalues. The most useful diagonalizations are the ones for which the sets σ(Ai)arepairwise disjoint; it is the aim of this paper to give a full characterization of these diagonal- izations. ∈ n×n For any matrix A we denote its kernel and image by ker A and im A, respectively. A matrix E is idempotent (or a projection matrix )ifE2 = E,and 237 nilpotent if Ep = 0 for some positive integer p. -
Chapter 2 a Short Review of Matrix Algebra
Chapter 2 A short review of matrix algebra 2.1 Vectors and vector spaces Definition 2.1.1. A vector a of dimension n is a collection of n elements typically written as ⎛ ⎞ ⎜ a1 ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ a2 ⎟ a = ⎜ ⎟ =(ai)n. ⎜ . ⎟ ⎝ . ⎠ an Vectors of length 2 (two-dimensional vectors) can be thought of points in 33 BIOS 2083 Linear Models Abdus S. Wahed the plane (See figures). Chapter 2 34 BIOS 2083 Linear Models Abdus S. Wahed Figure 2.1: Vectors in two and three dimensional spaces (-1.5,2) (1, 1) (1, -2) x1 (2.5, 1.5, 0.95) x2 (0, 1.5, 0.95) x3 Chapter 2 35 BIOS 2083 Linear Models Abdus S. Wahed • A vector with all elements equal to zero is known as a zero vector and is denoted by 0. • A vector whose elements are stacked vertically is known as column vector whereas a vector whose elements are stacked horizontally will be referred to as row vector. (Unless otherwise mentioned, all vectors will be referred to as column vectors). • A row vector representation of a column vector is known as its trans- T pose. We will use⎛ the⎞ notation ‘ ’or‘ ’ to indicate a transpose. For ⎜ a1 ⎟ ⎜ ⎟ ⎜ a2 ⎟ ⎜ ⎟ T instance, if a = ⎜ ⎟ and b =(a1 a2 ... an), then we write b = a ⎜ . ⎟ ⎝ . ⎠ an or a = bT . • Vectors of same dimension are conformable to algebraic operations such as additions and subtractions. Sum of two or more vectors of dimension n results in another n-dimensional vector with elements as the sum of the corresponding elements of summand vectors. -
Table of Symbols
Table of Symbols Symbol Meaning Reference ∅ Empty set Page 10 ∈ Member symbol Page 10 ⊆ Subset symbol Page 10 ⊂ Proper subset symbol Page 10 ∩ Intersection symbol Page 10 ∪ Union symbol Page 10 ⊗ Tensor symbol Page 136 ≈ Approximate equality sign Page 79 −−→ PQ Displacement vector Page 147 | z | Absolute value of complex z Page 13 | A | determinant of matrix A Page 115 || u || Norm of vector u Page 212 || u ||p p-norm of vector u Page 306 u · v Standard inner product Page 216 u, v Inner product Page 312 Acof Cofactor matrix of A Page 122 adj A Adjoint of matrix A Page 122 A∗ Conjugate (Hermitian) transpose of matrix A Page 91 AT Transpose of matrix A Page 91 C(A) Column space of matrix A Page 183 cond(A) Condition number of matrix A Page 344 C[a, b] Function space Page 151 C Complex numbers a + bi Page 12 Cn Standard complex vector space Page 149 compv u Component Page 224 z Complex conjugate of z Page 13 δij Kronecker delta Page 65 dim V Dimension of space V Page 194 det A Determinant of A Page 115 domain(T ) Domain of operator T Page 189 diag{λ1,λ2,...,λn} Diagonal matrix with λ1,λ2,...,λn along diagonal Page 103 Eij Elementary operation switch ith and jth rows Page 25 356 Table of Symbols Symbol Meaning Reference Ei(c) Elementary operation multiply ith row by c Page 25 Eij (d) Elementary operation add d times jth row to ith row Page 25 Eλ(A) Eigenspace Page 254 Hv Householder matrix Page 237 I,In Identity matrix, n × n identity Page 65 idV Identity function for V Page 156 (z) Imaginary part of z Page 12 ker(T ) Kernel of operator T Page 188 Mij (A) Minor of A Page 117 M(A) Matrix of minors of A Page 122 max{a1,a2,...,am} Maximum value Page 40 min{a1,a2,...,am} Minimum value Page 40 N (A) Null space of matrix A Page 184 N Natural numbers 1, 2,..