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Free Idempotent Generated Semigroups and Endomorphism Monoids of Independence Algebras
Free idempotent generated semigroups and endomorphism monoids of independence algebras Yang Dandan & Victoria Gould Semigroup Forum ISSN 0037-1912 Semigroup Forum DOI 10.1007/s00233-016-9802-0 1 23 Your article is published under the Creative Commons Attribution license which allows users to read, copy, distribute and make derivative works, as long as the author of the original work is cited. You may self- archive this article on your own website, an institutional repository or funder’s repository and make it publicly available immediately. 1 23 Semigroup Forum DOI 10.1007/s00233-016-9802-0 RESEARCH ARTICLE Free idempotent generated semigroups and endomorphism monoids of independence algebras Yang Dandan1 · Victoria Gould2 Received: 18 January 2016 / Accepted: 3 May 2016 © The Author(s) 2016. This article is published with open access at Springerlink.com Abstract We study maximal subgroups of the free idempotent generated semigroup IG(E), where E is the biordered set of idempotents of the endomorphism monoid End A of an independence algebra A, in the case where A has no constants and has finite rank n. It is shown that when n ≥ 3 the maximal subgroup of IG(E) containing a rank 1 idempotent ε is isomorphic to the corresponding maximal subgroup of End A containing ε. The latter is the group of all unary term operations of A. Note that the class of independence algebras with no constants includes sets, free group acts and affine algebras. Keywords Independence algebra · Idempotent · Biordered set 1 Introduction Let S be a semigroup with set E = E(S) of idempotents, and let E denote the subsemigroup of S generated by E. -
Beyond Regular Semigroups
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by OpenGrey Repository Beyond Regular Semigroups Yan Hui Wang PhD University of York Department of Mathematics March 2012 Abstract The topic of this thesis is the class of weakly U-abundant semigroups. This class is very wide, containing inverse, orthodox, regular, ample, adequate, quasi- adequate, concordant, abundant, restriction, Ehresmann and weakly abundant semigroups. A semigroup S with subset of idempotents U is weakly U-abundant if every RU -class and every LU -class contains an idempotent of U, where RU and LU are relations extending the well known Green’s relations R and L. We assume throughout that our semigroups satisfy a condition known as the Con- gruence Condition (C). We take several approaches to weakly U-abundant semigroups. Our first re- sults describe those that are analogous to completely simple semigroups. Together with an existing result of Ren this determines the structure of those weakly U- abundant semigroups that are analogues of completely regular semigroups, that is, they are superabundant. Our description is in terms of a semilattice of rectan- gular bands of monoids. The second strand is to aim for an extension of the Hall-Yamada theorem for orthodox semigroups as spined products of inverse semigroups and fundamental orthodox semigroups. To this end we consider weakly B-orthodox semigroups, where B is a band. We note that if B is a semilattice then a weakly B-orthodox semigroup is exactly an Ehresmann semigroup. We provide a description of a weakly B-orthodox semigroup S as a spined product of a fundamental weakly B- orthodox semigroup SB (depending only on B) and S/γB, where B is isomorphic to B and γB is the analogue of the least inverse congruence on an orthodox semigroup. -
Beyond Moore-Penrose Part I: Generalized Inverses That Minimize Matrix Norms Ivan Dokmanić, Rémi Gribonval
Beyond Moore-Penrose Part I: Generalized Inverses that Minimize Matrix Norms Ivan Dokmanić, Rémi Gribonval To cite this version: Ivan Dokmanić, Rémi Gribonval. Beyond Moore-Penrose Part I: Generalized Inverses that Minimize Matrix Norms. 2017. hal-01547183v1 HAL Id: hal-01547183 https://hal.inria.fr/hal-01547183v1 Preprint submitted on 30 Jun 2017 (v1), last revised 13 Jul 2017 (v2) HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Beyond Moore-Penrose Part I: Generalized Inverses that Minimize Matrix Norms Ivan Dokmani´cand R´emiGribonval Abstract This is the first paper of a two-long series in which we study linear generalized in- verses that minimize matrix norms. Such generalized inverses are famously represented by the Moore-Penrose pseudoinverse (MPP) which happens to minimize the Frobenius norm. Freeing up the degrees of freedom associated with Frobenius optimality enables us to pro- mote other interesting properties. In this Part I, we look at the basic properties of norm- minimizing generalized inverses, especially in terms of uniqueness and relation to the MPP. We first show that the MPP minimizes many norms beyond those unitarily invariant, thus further bolstering its role as a robust choice in many situations. -
Generalized Inverses of an Invertible Infinite Matrix Over a Finite
Linear Algebra and its Applications 418 (2006) 468–479 www.elsevier.com/locate/laa Generalized inverses of an invertible infinite matrix over a finite field C.R. Saranya a, K.C. Sivakumar b,∗ a Department of Mathematics, College of Engineering, Guindy, Chennai 600 025, India b Department of Mathematics, Indian Institute of Technology Madras, Chennai 600 036, India Received 17 August 2005; accepted 21 February 2006 Available online 21 April 2006 Submitted by M. Neumann Abstract In this paper we show that, contrary to finite matrices with entries taken from finite field, an invertible infinite matrix could have generalized inverses that are different from classical inverses. © 2006 Elsevier Inc. All rights reserved. AMS classification: Primary 15A09 Keywords: Moore–Penrose inverse; Group inverse; Matrices over finite fields; Infinite matrices 1. Introduction Let A be a finite matrix. Recall that a matrix X is called the Moore–Penrose inverse of A if it satisfies the following Penrose equations: AXA = A; XAX = X, (AX)T = AX; (XA)T = XA. Such an X will be denoted by A†. The group inverse (if it exists) of a finite square matrix A denoted by A# is the unique solution of the equations AXA = A; XAX = X; XA = AX. ∗ Corresponding author. E-mail address: [email protected] (K.C. Sivakumar). 0024-3795/$ - see front matter ( 2006 Elsevier Inc. All rights reserved. doi:10.1016/j.laa.2006.02.023 C.R. Saranya, K.C. Sivakumar / Linear Algebra and its Applications 418 (2006) 468–479 469 It is well known that the group inverse of A exists iff the range space R(A) of A and the null space N(A) of A are complementary. -
SUBGROUPS of FREE IDEMPOTENT GENERATED SEMIGROUPS NEED NOT BE FREE 1. Introduction Let S Be a Semigroup with Set E(S)
SUBGROUPS OF FREE IDEMPOTENT GENERATED SEMIGROUPS NEED NOT BE FREE MARK BRITTENHAM, STUART W. MARGOLIS, AND JOHN MEAKIN 1. Introduction Let S be a semigroup with set E(S) of idempotents, and let hE(S)i denote the subsemigroup of S generated by E(S). We say that S is an idempotent generated semigroup if S = hE(S)i. Idempotent generated semigroups have received considerable attention in the literature. For example, an early re- sult of J. A. Erd¨os [7] proves that the idempotent generated part of the semigroup of n × n matrices over a field consists of the identity matrix and all singular matrices. J. M. Howie [14] proved a similar result for the full transformation monoid on a finite set and also showed that every semigroup may be embedded in an idempotent generated semigroup. This result has been extended in many different ways, and many authors have studied the structure of idempotent generated semigroups. Recently, Putcha [23] gave necessary and sufficient conditions for a reductive linear algebraic monoid to have the property that every non-unit is a product of idempotents, sig- nificantly generalizing the results of J.A. Erd¨os mentioned above. In 1979 K.S.S. Nambooripad [17] published an influential paper about the structure of (von Neumann) regular semigroups. Nambooripad observed that the set E(S) of idempotents of a semigroup carries a certain structure (the structure of a “biordered set”, or a “regular biordered set” in the case of regular semigroups) and he provided an axiomatic characterization of (regular) biordered sets in his paper. -
Generalized Inverses and Generalized Connections with Statistics
Generalized Inverses and Generalized Connections with Statistics Tim Zitzer April 12, 2007 Creative Commons License c 2007 Permission is granted to others to copy, distribute, display and perform the work and make derivative works based upon it only if they give the author or licensor the credits in the manner specified by these and only for noncommercial purposes. Generalized Inverses and Generalized Connections with Statistics Consider an arbitrary system of linear equations with a coefficient matrix A ∈ Mn,n, vector of constants b ∈ Cn, and solution vector x ∈ Cn : Ax = b If matrix A is nonsingular and thus invertible, then we can employ the techniques of matrix inversion and multiplication to find the solution vector x. In other words, the unique solution x = A−1b exists. However, when A is rectangular, dimension m × n or singular, a simple representation of a solution in terms of A is more difficult. There may be none, one, or an infinite number of solutions depending on whether b ∈ C(A) and whether n − rank(A) > 0. We would like to be able to find a matrix (or matrices) G, such that solutions of Ax = b are of the form Gb. Thus, through the work of mathematicians such as Penrose, the generalized inverse matrix was born. In broad terms, a generalized inverse matrix of A is some matrix G such that Gb is a solution to Ax = b. Definitions and Notation In 1920, Moore published the first work on generalized inverses. After his definition was more or less forgotten due to cumbersome notation, an algebraic form of Moore’s definition was given by Penrose in 1955, having explored the theoretical properties in depth. -
Generalized Inverse and Pseudoinverse
San José State University Math 253: Mathematical Methods for Data Visualization Lecture 6: Generalized inverse and pseudoinverse Dr. Guangliang Chen Outline Matrix generalized inverse • Pseudoinverse • Application to solving linear systems of equations • Generalized inverse and pseudoinverse Recall ... that a square matrix A ∈ Rn×n is invertible if there exists a square matrix B of the same size such that AB = BA = I In this case, B is called the matrix inverse of A and denoted as B = A−1. We already know that two equivalent ways of characterizing a square, invertible matrix A are A has full rank, i.e., rank(A) = n • A has nonzero determinant: det(A) 6= 0 • Dr. Guangliang Chen | Mathematics & Statistics, San José State University3/43 Generalized inverse and pseudoinverse Remark. For any invertible matrix A ∈ Rn×n and any vector b ∈ Rn, the linear system Ax = b has a unique solution x∗ = A−1b. MATLAB command for solving a linear system Ax = b A\b % recommended inv(A) ∗ b % avoid (especially when A is large) Dr. Guangliang Chen | Mathematics & Statistics, San José State University4/43 Generalized inverse and pseudoinverse What about general matrices? Let A ∈ Rm×n. We would like to address the following questions: Is there some kind of inverse? • Given a vector b ∈ Rm, how can we solve the linear system Ax = b? • Dr. Guangliang Chen | Mathematics & Statistics, San José State University5/43 Generalized inverse and pseudoinverse More motivation In many practical tasks such as multiple linear regression, the least squares problem arises naturally: min kAx − bk2 (where A ∈ m×n, b ∈ m are fixed) n R R x∈R If A has full column rank (i.e., rank(A) = n ≤ m), then the above problem has a unique solution x∗ = (AT A)−1AT b We want to better understand the matrices: (AT A)−1AT (pseudoinverse): Optimal solution is x∗ = (AT A)−1AT b; • A(AT A)−1AT (projection matrix): Closest approximation of b is Ax∗ = • A(AT A)−1AT b Dr. -
T-Jordan Canonical Form and T-Drazin Inverse Based on the T-Product
T-Jordan Canonical Form and T-Drazin Inverse based on the T-Product Yun Miao∗ Liqun Qiy Yimin Weiz October 24, 2019 Abstract In this paper, we investigate the tensor similar relationship and propose the T-Jordan canonical form and its properties. The concept of T-minimal polynomial and T-characteristic polynomial are proposed. As a special case, we present properties when two tensors commutes based on the tensor T-product. We prove that the Cayley-Hamilton theorem also holds for tensor cases. Then we focus on the tensor decompositions: T-polar, T-LU, T-QR and T-Schur decompositions of tensors are obtained. When a F-square tensor is not invertible with the T-product, we study the T-group inverse and T-Drazin inverse which can be viewed as the extension of matrix cases. The expression of T-group and T-Drazin inverse are given by the T-Jordan canonical form. The polynomial form of T-Drazin inverse is also proposed. In the last part, we give the T-core-nilpotent decomposition and show that the T-index and T-Drazin inverse can be given by a limiting formula. Keywords. T-Jordan canonical form, T-function, T-index, tensor decomposition, T-Drazin inverse, T-group inverse, T-core-nilpotent decomposition. AMS Subject Classifications. 15A48, 15A69, 65F10, 65H10, 65N22. arXiv:1902.07024v2 [math.NA] 22 Oct 2019 ∗E-mail: [email protected]. School of Mathematical Sciences, Fudan University, Shanghai, 200433, P. R. of China. Y. Miao is supported by the National Natural Science Foundation of China under grant 11771099. -
Rank Equalities Related to the Generalized Inverses Ak(B1,C1), Dk(B2,C2) of Two Matrices a and D
S S symmetry Article Rank Equalities Related to the Generalized Inverses Ak(B1,C1), Dk(B2,C2) of Two Matrices A and D Wenjie Wang 1, Sanzhang Xu 1,* and Julio Benítez 2,* 1 Faculty of Mathematics and Physics, Huaiyin Institute of Technology, Huaian 223003, China; [email protected] 2 Instituto de Matemática Multidisciplinar, Universitat Politècnica de València, 46022 Valencia, Spain * Correspondence: [email protected] (S.X.); [email protected] (J.B.) Received: 27 March 2019; Accepted: 10 April 2019; Published: 15 April 2019 Abstract: Let A be an n × n complex matrix. The (B, C)-inverse Ak(B,C) of A was introduced by Drazin in 2012. For given matrices A and B, several rank equalities related to Ak(B1,C1) and Bk(B2,C2) of A and B are presented. As applications, several rank equalities related to the inverse along an element, the Moore-Penrose inverse, the Drazin inverse, the group inverse and the core inverse are obtained. Keywords: Rank; (B, C)-inverse; inverse along an element MSC: 15A09; 15A03 1. Introduction × ∗ The set of all m × n matrices over the complex field C will be denoted by Cm n. Let A , R(A), N (A) and rank(A) denote the conjugate transpose, column space, null space and rank of × A 2 Cm n, respectively. × × ∗ ∗ For A 2 Cm n, if X 2 Cn m satisfies AXA = A, XAX = X, (AX) = AX and (XA) = XA, then X is called a Moore-Penrose inverse of A [1,2]. This matrix X always exists, is unique and will be denoted by A†. -
The Structure Mappings on a Regular Semigroup
Proceedings of the Edinburgh Mathematical Society (1978), 21. 135-142 © THE STRUCTURE MAPPINGS ON A REGULAR SEMIGROUP by JOHN MEAKIN (Received 13th December 1976) In (5) the author showed how to construct all inverse semigroups from their trace and semilattice of idempotents: the construction is by means of a family of mappings between ;%-classes of the semigroup which we refer to as the structure mappings of the semigroup. In (7) (see also (8) and (9)) K. S. S. Nambooripad has adopted a similar approach to the structure of regular semigroups: he shows how to construct regular semigroups from their trace and biordered set of idempotents by means of a family of mappings between 9?-classes and between if-classes of the semigroup which we again refer to as the structure mappings of the semigroup. In the present paper we aim to provide a simpler set of axioms characterising the structure mappings on a regular semigroup than the axioms (R1)-(R7) of Nambooripad (9). Two major differences occur between Nambooripad's approach (9) and the approach adopted here: first, we consider the set of idempotents of our semigroups to be equipped with a partial regular band structure (in the sense of Clifford (3)) rather than a biorder structure, and second, we shall enlarge the set of structure mappings used by Nambooripad. 1. Basic notions and notation The standard notation of Clifford and Preston (4) will be used throughout. We denote the set of inverses of a regular element x in a semigroup by V(x). We shall assume familiarity with Nambooripad's papers (8) and (9). -
Exact Generalized Inverses and Solution to Linear Least Squares Problems Using Multiple Modulus Residue Arithmetic Sallie Ann Keller Mcnulty Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 1983 Exact generalized inverses and solution to linear least squares problems using multiple modulus residue arithmetic Sallie Ann Keller McNulty Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Statistics and Probability Commons Recommended Citation McNulty, Sallie Ann Keller, "Exact generalized inverses and solution to linear least squares problems using multiple modulus residue arithmetic " (1983). Retrospective Theses and Dissertations. 8420. https://lib.dr.iastate.edu/rtd/8420 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. INFORMATION TO USERS This reproduction was made from a copy of a document sent to us for microfilming. While the most advanced technology has been used to photograph and reproduce this document, the quality of the reproduction is heavily dependent upon the quality of the material submitted. The following explanation of techniques is provided to help clarify markings or notations which may appear on this reproduction. 1. The sign or "target" for pages apparently lacking from the document photographed is "Missing Page(s)". If it was possible to obtain the missing page(s) or section, they are spliced into the film along with adjacent pages. This may have necessitated cutting through an image and duplicating adjacent pages to assure complete continuity. -
Generalized Power Symmetric Stochastic Matrices 1989
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 127, Number 7, Pages 1987{1994 S 0002-9939(99)05126-6 Article electronically published on March 17, 1999 GENERALIZED POWER SYMMETRIC STOCHASTIC MATRICES R. B. BAPAT, S. K. JAIN, AND K. MANJUNATHA PRASAD (Communicated by Jeffry N. Kahn) Abstract. We characterize stochastic matrices A which satisfy the equation (Ap)T = Am where p<mare positive integers. 1. Introduction An n n matrix is called stochastic if every entry is nonnegative and each row sum is one.× The transpose of the matrix A will be denoted by AT .AmatrixAis doubly stochastic if both A and AT are stochastic. Sinkhorn [5] characterized stochastic matrices A which satisfy the condition AT = Ap,wherep>1 is a positive integer. Such matrices were called power symmetric in [5]. In this paper we consider a generalization. Call a square ma- trix A generalized power symmetric if (Ap)T = Am,wherep<mare positive integers. We give a characterization of generalized power symmetric stochastic ma- trices, thereby generalizing Sinkhorn's result. The proof makes nontrivial use of n the machinery of generalized inverses. In view of the fact that (A )i,j represents the probability of an event to change from the state i to the state j in n units of time, the reader may find it interesting to interpret the condition (Ap)T = Am on the matrix A =(Ai,j ). The paper is organized as follows. In the next section, we introduce some defini- tions and prove several preliminary results. The main results are proved in Section 3.