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Mutually Orthogonal Latin Squares and Their Generalizations
Ghent University Faculty of Sciences Department of Mathematics Mutually orthogonal latin squares and their generalizations Jordy Vanpoucke Academic year 2011-2012 Advisor: Prof. Dr. L. Storme Master thesis submitted to the Faculty of Sciences to obtain the degree of Master in Sciences, Math- ematics Contents 1 Preface 4 2 Latin squares 7 2.1 Definitions . .7 2.2 Groups and permutations . .8 2.2.1 Definitions . .8 2.2.2 Construction of different reduced latin squares . .9 2.3 General theorems and properties . 10 2.3.1 On the number of latin squares and reduced latin squares . 10 2.3.2 On the number of main classes and isotopy classes . 11 2.3.3 Completion of latin squares and critical sets . 13 3 Sudoku latin squares 16 3.1 Definitions . 16 3.2 General theorems and properties . 17 3.2.1 On the number of sudoku latin squares and inequivalent sudoku latin squares . 17 3.3 Minimal sudoku latin squares . 18 3.3.1 Unavoidable sets . 20 3.3.2 First case: a = b =2 .......................... 25 3.3.3 Second case: a = 2 and b =3 ..................... 26 3.3.4 Third case: a = 2 and b =4...................... 28 3.3.5 Fourth case: a = 3 and b =3 ..................... 29 2 4 Latin squares and projective planes 30 4.1 Projective planes . 30 4.1.1 Coordinatization of projective planes . 31 4.1.2 Planar ternary rings . 32 4.2 Orthogonal latin squares and projective planes . 33 5 MOLS and MOSLS 34 5.1 Definitions . 34 5.2 Bounds . 35 5.3 Examples of small order . -
Littlewood–Richardson Coefficients and Birational Combinatorics
Littlewood{Richardson coefficients and birational combinatorics Darij Grinberg 28 August 2020 [corrected version] Algebraic and Combinatorial Perspectives in the Mathematical Sciences slides: http: //www.cip.ifi.lmu.de/~grinberg/algebra/acpms2020.pdf paper: arXiv:2008.06128 aka http: //www.cip.ifi.lmu.de/~grinberg/algebra/lrhspr.pdf 1 / 43 The proof is a nice example of birational combinatorics: the use of birational transformations in elementary combinatorics (specifically, here, in finding and proving a bijection). Manifest I shall review the Littlewood{Richardson coefficients and some of their classical properties. I will then state a \hidden symmetry" conjectured by Pelletier and Ressayre (arXiv:2005.09877) and outline how I proved it. 2 / 43 Manifest I shall review the Littlewood{Richardson coefficients and some of their classical properties. I will then state a \hidden symmetry" conjectured by Pelletier and Ressayre (arXiv:2005.09877) and outline how I proved it. The proof is a nice example of birational combinatorics: the use of birational transformations in elementary combinatorics (specifically, here, in finding and proving a bijection). 2 / 43 Manifest I shall review the Littlewood{Richardson coefficients and some of their classical properties. I will then state a \hidden symmetry" conjectured by Pelletier and Ressayre (arXiv:2005.09877) and outline how I proved it. The proof is a nice example of birational combinatorics: the use of birational transformations in elementary combinatorics (specifically, here, in finding and proving a bijection). 2 / 43 Chapter 1 Chapter 1 Littlewood{Richardson coefficients References (among many): Richard Stanley, Enumerative Combinatorics, vol. 2, Chapter 7. Darij Grinberg, Victor Reiner, Hopf Algebras in Combinatorics, arXiv:1409.8356. -
Geometry, Combinatorial Designs and Cryptology Fourth Pythagorean Conference
Geometry, Combinatorial Designs and Cryptology Fourth Pythagorean Conference Sunday 30 May to Friday 4 June 2010 Index of Talks and Abstracts Main talks 1. Simeon Ball, On subsets of a finite vector space in which every subset of basis size is a basis 2. Simon Blackburn, Honeycomb arrays 3. G`abor Korchm`aros, Curves over finite fields, an approach from finite geometry 4. Cheryl Praeger, Basic pregeometries 5. Bernhard Schmidt, Finiteness of circulant weighing matrices of fixed weight 6. Douglas Stinson, Multicollision attacks on iterated hash functions Short talks 1. Mari´en Abreu, Adjacency matrices of polarity graphs and of other C4–free graphs of large size 2. Marco Buratti, Combinatorial designs via factorization of a group into subsets 3. Mike Burmester, Lightweight cryptographic mechanisms based on pseudorandom number generators 4. Philippe Cara, Loops, neardomains, nearfields and sets of permutations 5. Ilaria Cardinali, On the structure of Weyl modules for the symplectic group 6. Bill Cherowitzo, Parallelisms of quadrics 7. Jan De Beule, Large maximal partial ovoids of Q−(5, q) 8. Bart De Bruyn, On extensions of hyperplanes of dual polar spaces 1 9. Frank De Clerck, Intriguing sets of partial quadrangles 10. Alice Devillers, Symmetry properties of subdivision graphs 11. Dalibor Froncek, Decompositions of complete bipartite graphs into generalized prisms 12. Stelios Georgiou, Self-dual codes from circulant matrices 13. Robert Gilman, Cryptology of infinite groups 14. Otokar Groˇsek, The number of associative triples in a quasigroup 15. Christoph Hering, Latin squares, homologies and Euler’s conjecture 16. Leanne Holder, Bilinear star flocks of arbitrary cones 17. Robert Jajcay, On the geometry of cages 18. -
Parametrizations of Canonical Bases and Totally Positive Matrices Arkady Berenstein
Advances in Mathematics AI1567 advances in mathematics 122, 49149 (1996) article no. 0057 Parametrizations of Canonical Bases and Totally Positive Matrices Arkady Berenstein Department of Mathematics, Northeastern University, Boston, Massachusetts 02115 Sergey Fomin* Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139; and Theory of Algorithms Laboratory, St. Petersburg Institute of Informatics, Russian Academy of Sciences, St. Petersburg, Russia and Andrei Zelevinsky- Department of Mathematics, Northeastern University, Boston, Massachusetts 02115 Received October 24, 1995; accepted November 27, 1995 Contents. 1. Introduction and main results. 2. Lusztig variety and Chamber Ansatz. 2.1. Semifields and subtraction-free rational expressions. 2.2. Lusztig variety. 2.3. Pseudo-line arrangements. 2.4. Minors and the nilTemperleyLieb algebra. 2.5. Chamber Ansatz. 2.6. Solutions of the 3-term relations. 2.7. An alternative description of the Lusztig variety. 2.8. Trans- 0 n n ition from n . 2.9. Polynomials T J and Za . 2.10. Formulas for T J . 2.11. Sym- metries of the Lusztig variety. 3. Total positivity criteria. 3.1. Factorization of unitriangular matrices. 3.2. General- izations of Fekete's criterion. 3.3. Polynomials TJ (x). 3.4. The action of the four- group on N >0. 3.5. The multi-filtration in the coordinate ring of N. 3.6. The S3 _ZÂ2Z symmetry. 3.7. Dual canonical basis and positivity theorem. 4. Piecewise-linear minimization formulas. 4.1. Polynomials over the tropical semi- field. 4.2. Multisegment duality. 4.3. Nested normal orderings. 4.4. Quivers and boundary pseudo-line arrangements. 5. The case of an arbitrary permutation. -
Non Associative Linear Algebras
NON ASSOCIATIVE LINEAR ALGEBRAS W. B. Vasantha Kandasamy Florentin Smarandache ZIP PUBLISHING Ohio 2012 This book can be ordered from: Zip Publishing 1313 Chesapeake Ave. Columbus, Ohio 43212, USA Toll Free: (614) 485-0721 E-mail: [email protected] Website: www.zippublishing.com Copyright 2012 by Zip Publishing and the Authors Peer reviewers: Sukanto Bhattacharya, Deakin Graduate School of Business, Deakin University, Australia Kuldeep Kumar, School of Business, Bond University, Australia Professor Paul P. Wang, Ph D, Department of Electrical & Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA Many books can be downloaded from the following Digital Library of Science: http://www.gallup.unm.edu/~smarandache/eBooks-otherformats.htm ISBN-13: 978-1-59973-176-6 EAN: 9781599731766 Printed in the United States of America 2 CONTENTS Preface 5 Chapter One BASIC CONCEPTS 7 Chapter Two NON ASSOCIATIVE SEMILINEAR ALGEBRAS 13 Chapter Three NON ASSOCIATIVE LINEAR ALGEBRAS 83 Chapter Four GROUPOID VECTOR SPACES 111 3 Chapter Five APPLICATION OF NON ASSOCIATIVE VECTOR SPACES / LINEAR ALGEBRAS 161 Chapter Six SUGGESTED PROBLEMS 163 FURTHER READING 225 INDEX 229 ABOUT THE AUTHORS 231 4 PREFACE In this book authors for the first time introduce the notion of non associative vector spaces and non associative linear algebras over a field. We construct non associative space using loops and groupoids over fields. In general in all situations, which we come across to find solutions may not be associative; in such cases we can without any difficulty adopt these non associative vector spaces/linear algebras. Thus this research is a significant one. -
On Semifields of Type
I I G ◭◭ ◮◮ ◭ ◮ On semifields of type (q2n,qn,q2,q2,q), n odd page 1 / 19 ∗ go back Giuseppe Marino Olga Polverino Rocco Tromebtti full screen Abstract 2n n 2 2 close A semifield of type (q , q , q , q , q) (with n > 1) is a finite semi- field of order q2n (q a prime power) with left nucleus of order qn, right 2 quit and middle nuclei both of order q and center of order q. Semifields of type (q6, q3, q2, q2, q) have been completely classified by the authors and N. L. Johnson in [10]. In this paper we determine, up to isotopy, the form n n of any semifield of type (q2 , q , q2, q2, q) when n is an odd integer, proving n−1 that there exist 2 non isotopic potential families of semifields of this type. Also, we provide, with the aid of the computer, new examples of semifields of type (q14, q7, q2, q2, q), when q = 2. Keywords: semifield, isotopy, linear set MSC 2000: 51A40, 51E20, 12K10 1. Introduction A finite semifield S is a finite algebraic structure satisfying all the axioms for a skew field except (possibly) associativity. The subsets Nl = {a ∈ S | (ab)c = a(bc), ∀b, c ∈ S} , Nm = {b ∈ S | (ab)c = a(bc), ∀a, c ∈ S} , Nr = {c ∈ S | (ab)c = a(bc), ∀a, b ∈ S} and K = {a ∈ Nl ∩ Nm ∩ Nr | ab = ba, ∀b ∈ S} are fields and are known, respectively, as the left nucleus, the middle nucleus, the right nucleus and the center of the semifield. -
1 Semifields
1 Semifields Definition 1 A semifield P = (P; ⊕; ·): 1. (P; ·) is an abelian (multiplicative) group. 2. ⊕ is an auxiliary addition: commutative, associative, multiplication dis- tributes over ⊕. Exercise 1 Show that semi-field P is torsion-free as a multiplicative group. Why doesn't your argument prove a similar result about fields? Exercise 2 Show that if a semi-field contains a neutral element 0 for additive operation and 0 is multiplicatively absorbing 0a = a0 = 0 then this semi-field consists of one element Exercise 3 Give two examples of non injective homomorphisms of semi-fields Exercise 4 Explain why a concept of kernel is undefined for homorphisms of semi-fields. A semi-field T ropmin as a set coincides with Z. By definition a · b = a + b, T rop a ⊕ b = min(a; b). Similarly we define T ropmax. ∼ Exercise 5 Show that T ropmin = T ropmax Let Z[u1; : : : ; un]≥0 be the set of nonzero polynomials in u1; : : : ; un with non- negative coefficients. A free semi-field P(u1; : : : ; un) is by definition a set of equivalence classes of P expression Q , where P; Q 2 Z[u1; : : : ; un]≥0. P P 0 ∼ Q Q0 if there is P 00;Q00; a; a0 such that P 00 = aP = a0P 0;Q00 = aQ = a0Q0. 1 0 Exercise 6 Show that for any semi-field P and a collection v1; : : : ; vn there is a homomorphism 0 : P(u1; : : : ; un) ! P ; (ui) = vi Let k be a ring. Then k[P] is the group algebra of the multiplicative group of the semi-field P. -
Finite Semifields and Nonsingular Tensors
FINITE SEMIFIELDS AND NONSINGULAR TENSORS MICHEL LAVRAUW Abstract. In this article, we give an overview of the classification results in the theory of finite semifields1and elaborate on the approach using nonsingular tensors based on Liebler [52]. 1. Introduction and classification results of finite semifields 1.1. Definition, examples and first classification results. Finite semifields are a generalisation of finite fields (where associativity of multiplication is not assumed) and the study of finite semifields originated as a classical part of algebra in the work of L. E. Dickson and A. A. Albert at the start of the 20th century. Remark 1.1. The name semifield was introduced by Knuth in his dissertation ([41]). In the literature before that, the algebraic structure, satisfying (S1)-(S4), was called a distributive quasifield, a division ring or a division algebra. Since the 1970's the use of the name semifields has become the standard. Due to the Dickson-Wedderburn Theorem which says that each finite skew field is a field (see [36, Section 2] for some historical remarks), finite semifields are in some sense the algebraic structures closest to finite fields. It is therefore not surprising that Dickson took up the study of finite semifields shortly after the classification of finite fields at the end of the 19th century (announced by E. H. Moore on the International Congress for Mathematicians in Chicago in 1893). Remark 1.2. In the remainder of this paper we only consider finite semifields (unless stated otherwise) and finiteness will often be assumed implicitly. In the infinite case, the octonions (see e.g. -
Finite Semifields
i “LavrauwPolverino” — 2010/2/12 — 11:49 — page 125 — #1 i i i In: Current research topics in Galois geometry ISBN 0000000000 Editors: J. De Beule, L. Storme, pp. 125-152 c 2010 Nova Science Publishers, Inc. 1 Chapter 6 2 FINITE SEMIFIELDS ∗† ‡ 3 Michel Lavrauw and Olga Polverino 4 1 Introduction and preliminaries 5 In this chapter, we concentrate on the links between Galois geometry and a particular kind 6 of non-associative algebras of finite dimension over a finite field F, called finite semifields. 7 Although in the earlier literature (predating 1965) the term semifields was not used, the 8 study of these algebras was initiated about a century ago by Dickson [32], shortly after 9 the classification of finite fields, taking a purely algebraic point of view. Nowadays it is 10 common to use the term semifields introduced by Knuth [59] in 1965 with the following 11 motivation: 12 “We are concerned with a certain type of algebraic system, called a semifield. Such a 13 system has several names in the literature, where it is called, for example, a "nonassocia- 14 tive division ring" or a "distributive quasifield". Since these terms are rather lengthy, and 15 since we make frequent reference to such systems in this paper, the more convenient name 16 semifield will be used." 17 By now, the theory of semifields has become of considerable interest in many different 18 areas of mathematics. Besides the numerous links with finite geometry, most of which con- 19 sidered here, semifields arise in the context of difference sets, coding theory, cryptography, 20 and group theory. -
Semifield and Coefficients
Lecture Notes Introduction to Cluster Algebra Ivan C.H. Ip∗ Updated: May 7, 2017 3.4 Semifields and coefficients The mutation does not really use the frozen variables. So let us treat them as \coefficients", which leads to a more general notion of cluster algebra with semifields as coefficients. Let us denote m Y bij yj := xi ; j = 1; :::; n: i=n+1 Then y1; :::; yn encodes the same information as the lower (n − m) × n submatrix of Be. Hence a labeled seed can equivalently be presented as triples (x; y;B) where x = (x1; :::; xn); y = (y1; :::; yn). Now the mutation of xk becomes: m n m n 0 Y [bik]+ Y [bik]+ Y [−bik]+ Y [−bik]+ xkxk = xi xi + xi xi i=n+1 i=1 i=n+1 i=1 n n yk Y [b ] 1 Y [−b ] = x ik + + x ik + y ⊕ 1 i y ⊕ 1 i k i=1 k i=1 where the semifield addition is defined by Y ai Y bi Y min(ai;bi) xi ⊕ xi := xi i i i in particular, Y bi Y −[−bi]+ 1 ⊕ xi := xi i i ∗Center for the Promotion of Interdisciplinary Education and Research/ Department of Mathematics, Graduate School of Science, Kyoto University, Japan Email: [email protected] 1 The mutation of the frozen variables xn+1; :::; xm also induces the mutation of the coefficient y-variables: 0 0 (y1; :::; yn) := µk(y1; :::; yn) 8 y−1 i = k < k 0 −bkj yj := yj(yk ⊕ 1) if j 6= k and bkj ≤ 0 : −1 −bkj yj(yk ⊕ 1) if j 6= k and bkj ≥ 0 This is called tropical Y -seed mutation rule This is general, we can use any semifield! Definition 3.1. -
Planar Division Neo-Rings
PLANAR DIVISION NEO-RINGS BY D. R. HUGHES Introduction. The notion of a division ring can be generalized to give a system whose addition is not necessarily associative, but which retains the property of coordinatizing an affine plane. Such a system will be called a planar division neo-ring (PDNR); examples of (infinite) PDNRs which are not division rings are known. If (R, +, •) is a finite power-associative PDNR, then (R, +) is shown to be commutative and to possess the inverse property. The center of an arbi- trary PDNR, and the nucleus of a finite PDNR, are shown to be PDNRs. By means of these and similar properties it is demonstrated that all associa- tive PDNRs of order =250 are actually abelian. The main result is the following: if (R, +, ■) is a finite associative and commutative PDNR of order n, and if p is any prime dividing n, then the mapping x—>xp is an automorphism of (R, +, ■). Chiefly by means of this result, all associative and commutative PDNRs of order ^250 are shown to have prime-power order. Chapter I contains results about the planar ternary rings developed by Marshall Hall [7], with a sketch of their connection with the complete sets of orthogonal latin squares associated with affine planes. Chapter II is de- voted to strictly algebraic theory of PDNRs, mostly for the finite case. Chap- ter III contains the main theorem about automorphisms mentioned above, and examples of its application. In the Appendix will be found examples of infinite PDNRs which are not division rings. These results are from the author's doctoral dissertation at the University of Wisconsin; the author wishes to take this opportunity to express his grati- tude to Professor R. -
Weakly Isotopic Planar Ternary Rings
Can. J. Math., Vol. XXVII, No. 1, 1975, pp. 32-36 WEAKLY ISOTOPIC PLANAR TERNARY RINGS FREDERICK W. STEVENSON 1. Introduction. This paper introduces two relations both weaker than isotopism which may hold between planar ternary rings. We will concentrate on the geometric consequences rather than the algebraic properties of these rela tions. It is well-known that every projective plane can be coordinatized by a planar ternary ring and every planar ternary ring coordinatizes a projective plane. If two planar ternary rings are isomorphic then their associated pro jective planes are isomorphic; however, the converse is not true. In fact, an algebraic bond which necessarily holds between the coordinatizing planar ternary rings of isomorphic projective planes has not been found. Such a bond must, of course, be weaker than isomorphism; furthermore, it must be weaker than isotopism. Here we show that it is even weaker than the two new relations introduced. This is significant because the weaker of our relations is, in a sense, the weakest possible algebraic relation which can hold between planar ternary rings which coordinatize isomorphic projective planes. 2. Definitions and theorems. Let T = (R, t) and V = (R\ t') be planar ternary rings. Definition 2.1. (R, i) is isomorphic to (Rf, tf) if and only if there exists a one-to-one function/ from R onto Rf such that if d = t(a, b, c) then/(d) = t'(f(a)J(b)J(c)). Definition 2.2. (R, t) is isotopic to (i?'f t') if and only if there exist one-to-one functions/, g, h from R onto Rr such that h(0) = 0 (we use the symbol "0" for both T and V) and if d = t(a} b, c) then h(d) = t'(f(a), g(b), h(c)).