BINARY SELF-DUAL CODES OF LENGTH 24

Size: px
Start display at page:

Download "BINARY SELF-DUAL CODES OF LENGTH 24"

Transcription

1 BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY Volume 8, Number 6, November 1974 BINARY SELF-DUAL CODES OF LENGTH BY VERA PLESS 1 AND N. J. A. SLOANE Communicated by Olga Taussky Todd, February 28, 1974 ABSTRACT. There are 26 distinct indecomposable self-dual codes of length over GF(2), including unique codes of minimum weights 8 and 6, whose groups are, respectively, the Mathieu group M 2 4 and the maximal subgroup of index 1771 in M^> For each code we give the order of its group, the number of equivalent codes, and its weight distribution. 1. Introduction. An [n, k] code C is a ^-dimensional subspace of the vector space of all «-tuples of O's and l's with mod 2 addition. The dual code C 1 = {u: u v = for all v G C} is an [n, n - k] code. C is self-orthogonal if C C C 1, self-dual if C C 1. Self-dual codes exist whenever the length n is even. The weight of a vector is the number of its nonzero components, and the minimum weight of C is the minimum weight of any nonzero codeword. The weight distribution of C is the set {a, ot l9, L n } 9 where a f is the number of codewords of weight I The group G(C) of a code C is the set of all permutations of the coordinates which send C into itself set-wise. Two codes are equivalent if there is a coordinate permutation sending one into the other. The number of codes equivalent to C is «!/order of G(C). The direct sum of codes C' and C", written C' C", is {(w, v): u GC',v e C"}. If C = C' C", where C' and C" are nonzero, then C is decomposable. Otherwise C is indecomposable. Pless [4] classified all self-dual codes of length < 2, Conway (unpublished) found the 9 self-dual codes of length in which the weight of every codeword is a multiple of 4, and Niemeier [2] found the even unimodular lattices in dimension, 9 of which correspond to the codes found by Conway. AMS (MOS) subject classifications (197). Primary 94A1; Secondary 5A15, 15A3. 1 The work of the first author was supported in part by Project MAC, an MIT interdepartmental laboratory sponsored by the Advanced Research Projects Agency, Department of Defense, under Office of Naval Research Contract N14-7-A Copyright 1974, American Mathematical Society 1173

2 1174 VERA PLESS AND N. J. A. SLOANE [November We have found that there are 8 inequivalent, indecomposable self-dual codes of length 22, and 26 of length. The latter are shown in Table I, which gives for each code a basis, the order of its group, the number of codes equivalent to it (written as a multiple of v = = 316, 234, 143, 225), and the weight distribution a 4, a 6,*, a 12 (omitting a 1, a 2 = a odd =, a t = a 2 4-z f r * > 12). Full details of the enumeration will appear in [5]. 2. Self-orthogonal codes of minimum weight 4. Table I was obtained by classifying the codes according to minimum weight. A self-dual code of minimum weight 2 is decomposable. For minimum weight 4 we use THEOREM 1. Let C be an indecomposable self-orthogonal code generated by codewords of weight 4. Then C is one of the codes d n (n = 4, 6, 8, ), e 7, or E s, generated by the rows of the following matrices: "till 1 ' i L, I i I i I I i I i i i i 8 : Furthermore a self-dual code containing E s as a subcode is decomposable. Let C be an indecomposable self-dual code of length, and let C r be the subcode generated by codewords of weight 4. By Theorem 1, C' has the form d d e n e n. We considered all such C' and all ways of extending C to a self-dual code. For each code we computed the order of its group. In this way all the codes of minimum weight 4 were obtained. The notation used to specify the basis vectors is best illustrated by an example. The code / generated by the rows of (1) k b b _ a e i c e i c o j J where a = , b = 11..., c = , is written d % e 2 n

3 1974] BINARY SELF-DUAL CODES OF LENGTH /bcol/bocl/ao 2 l 2, where the + 2 indicates two coordinates which do not meet any codeword of weight 4. a' denotes a 4- b = We omit the full details of W, X, Y. 3. Minimum weight 6 and 8. It is known [3], [1] that the [, 1.2] Golay code is the unique code of minimum weight 8, and that its group is the Mathieu group M. We determined that there is a unique self-dual code of minimum weight 6, which is generated (in Todd's [6] notation) by the set of 64 nonspecial hexads associated with any set of 6 mutually complementary tetrads in the Golay code. Its group is a maximal subgroup of index 1771 in M. TABLE I Indecomposable Self-Dual Codes of Length (Page 1) Generator Matrix { Order of Group Number * v a 4 <* 6 a 8 a 1 a 12 ( d 2 Jab/ba A j (2 5 \ ' , ^fxnp.i 18 ' 12 f c^)'%tt a ' ^ )d*(a)/baao/obaa/aoba/aaob j(2 2 3!) 4 4! ' 4 l ( \ d%(a)/boa 3 o/oboa 3 /aoboa 2 /a 2 oboa/a 3 obo/oa 3 ob (4 6 6!3 221, \ Golay code rt 21 C MJ2».3» M U % d ï6 lablba H J2 3 4!2 7 8! 1, ! d.dod^/b 3 /a 2 o/oa 2 2*2!2 3-4!2»-6! 11 ' ? % M28

4 1176 VERA PLESS AND N. J. A. SLOANE [November TABLE I Indecomposable Self-Dual Codes of Length (Page 2) Î Generator Matrix Order of Group Number -f v a 4 <x 6 a 8 a x \d 8 e 2 + 2/bcol/boc1/ao 2 l 2 (see (1)) (2 3 4! ,28^ ! d 6 d l e 1 + l/b 2 cl/oao\labol 2 2 3! , \d 3 (b)/b 3 /a 2 o/oa 2 ^ (2 3 4!) 3 3! 46, M \dl(c)la 3 /ba'o/boa' (2 3 4!) , \d\d XQ + 2lb 3 \l/oa 2 nlabo1lbao\ j(2 2 3!) '2 887, Î d ld \/ab 2 o/boao/oboa/baob (2 2') 2 (2 3 4!) 2 2 1,663, \d 4 dle 1 + \/ob 2 c\/ab 2 oloaa'o/boaol (2 2!(2 2 3!) ,534, ! d^(b)faoao/boa 2 joaoajobaa (2 2 3!) , \d 2 6d 8 +4/b 2 ol 4 /bobl 2 2 /o 2 al 2 /ao /oao\ 3 ((2 2 3!) ! 2 8,87, (2 2!(2 2 3!) ,74, General enumeration theorems. The following theorems, and others, were used to check Table I. Then THEOREM 2. Let OL C (X) = SJLQ a t x l be the weight enumerator of C.

5 1974] BINARY SELF-DUAL CODES OF LENGTH 1177 z oc c ( X ) = "jnv + o p 2 -^ + x n ) + L (")*'j, where the sum extends over all self-dual codes C of even length n. THEOREM 3. If n is even, the number of self-dual codes with length n and minimum weight > 4 is nil ( \\iy.\ n/2-i- l 6 2H\(n - 2! A i TABLE I Indecomposable Self Dual Codes of Length (Page 3) ~ - /Generator Matrix VT, Code <_ \Order, of._ Group Number v i> a* 4 a"6 w A a R 8 "1 a in "12 a rfjâf 8 /babab/ba 2 oa/oab 2 a'/aoba 2 /b 2 '4 a 8. oaa ' * ! 8 4,989, \d\d\ + 4lob 2 ol 2 2 /oa 2 o 3 llobob 2 l 2 /oaoal 2 /b 2 o /a 2 o 2 11 (4 2 (2 2 3!) ,222, [dl(b)lbabo 3 /obabo 2 /o 2 babo/o 3 bab/bo 3 ba/abo 3 b \ ,979, ( ! 3! 2 16,444, d\ + 8/ ! 2 159,667, Y )d 2 + l6-o/- ** 2 u ,444, z see 3 2l ,192, Total: 556,41,557 - ~ v REFERENCES 1. E. F. Assmus, Jr. and H. F. Mattson, Perfect codes and the Mathieu groups, Arch. Math. (Basil) 17 (1966), MR 34 # H.-V. Niemeier, Definite quadratische Formen der Dimension und Diskriminante 1, J. Number Theory 5 (1973),

6 1178 VERA PLESS AND N. J. A. SLOANE 3. Vera Pless, On the uniqueness of the Golay codes, J. Combinatorial Theory 5 (1968), , A classification of self orthogonal codes over GF(2), Discrete Math. 3 (1972), MR 46 # Vera Pless and N. J. A. Sloane, On the classification and enumeration of selfdual codes J. Combinatorial Theory. 6. J. A. Todd, A representation of the Mathieu group M^ as a collineation group, Ann. Mat. Pura Appl. (4) 71 (1966), MR 34 #2713, ELECTRICAL ENGINEERING DEPARTMENT, MASSACHUSETTS INSTITUTE OF TECHNOLOGY, CAMBRIDGE, MASSACHUSETTS 2139 BELL TELEPHONE LABORATORIES INC., MURRAY HILL, NEW JERSEY 7974

On an algorithm for classification of binary self-dual codes with minimum distance four

On an algorithm for classification of binary self-dual codes with minimum distance four Thirteenth International Workshop on Algebraic and Combinatorial Coding Theory June 15-21, 2012, Pomorie, Bulgaria pp. 105 110 On an algorithm for classification of binary self-dual codes with minimum

More information

The four [10,5,4] binary codes

The four [10,5,4] binary codes 1 Preliminaries The four [10,,] binary codes There are four distinct [10; ; ] binary codes. We shall prove this in a moderately elementary way, using the MacWilliams identities as the main tool. (For the

More information

c 2003 Society for Industrial and Applied Mathematics

c 2003 Society for Industrial and Applied Mathematics SIAM J. DISCRETE MATH. Vol. 16, No. 4, pp. 591 603 c 2003 Society for Industrial and Applied Mathematics PROJECTIONS OF BINARY LINEAR CODES ONTO LARGER FIELDS JON-LARK KIM, KEITH E. MELLINGER, AND VERA

More information

Two classes of ternary codes and their weight distributions

Two classes of ternary codes and their weight distributions Two classes of ternary codes and their weight distributions Cunsheng Ding, Torleiv Kløve, and Francesco Sica Abstract In this paper we describe two classes of ternary codes, determine their minimum weight

More information

COMBINATORIAL PROPERTIES OF THE HIGMAN-SIMS GRAPH. 1. Introduction

COMBINATORIAL 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 information

Linear Codes. Chapter 3. 3.1 Basics

Linear Codes. Chapter 3. 3.1 Basics Chapter 3 Linear Codes In order to define codes that we can encode and decode efficiently, we add more structure to the codespace. We shall be mainly interested in linear codes. A linear code of length

More information

Chapter 1. Search for Good Linear Codes in the Class of Quasi-Cyclic and Related Codes

Chapter 1. Search for Good Linear Codes in the Class of Quasi-Cyclic and Related Codes Chapter 1 Search for Good Linear Codes in the Class of Quasi-Cyclic and Related Codes Nuh Aydin and Tsvetan Asamov Department of Mathematics, Kenyon College Gambier, OH, USA 43022 {aydinn,asamovt}@kenyon.edu

More information

α = u v. In other words, Orthogonal Projection

α = u v. In other words, Orthogonal Projection Orthogonal Projection Given any nonzero vector v, it is possible to decompose an arbitrary vector u into a component that points in the direction of v and one that points in a direction orthogonal to v

More information

Math 550 Notes. Chapter 7. Jesse Crawford. Department of Mathematics Tarleton State University. Fall 2010

Math 550 Notes. Chapter 7. Jesse Crawford. Department of Mathematics Tarleton State University. Fall 2010 Math 550 Notes Chapter 7 Jesse Crawford Department of Mathematics Tarleton State University Fall 2010 (Tarleton State University) Math 550 Chapter 7 Fall 2010 1 / 34 Outline 1 Self-Adjoint and Normal Operators

More information

= 2 + 1 2 2 = 3 4, Now assume that P (k) is true for some fixed k 2. This means that

= 2 + 1 2 2 = 3 4, Now assume that P (k) is true for some fixed k 2. This means that Instructions. Answer each of the questions on your own paper, and be sure to show your work so that partial credit can be adequately assessed. Credit will not be given for answers (even correct ones) without

More information

Nonbinary Quantum Reed-Muller Codes a

Nonbinary Quantum Reed-Muller Codes a Nonbinary Quantum Reed-Muller Codes a Pradeep Sarvepalli pradeep@cs.tamu.edu a Joint work with Dr. Andreas Klappenecker Department of Computer Science, Texas A&M University Nonbinary Quantum Reed-Muller

More information

CODING THEORY a first course. Henk C.A. van Tilborg

CODING THEORY a first course. Henk C.A. van Tilborg CODING THEORY a first course Henk C.A. van Tilborg Contents Contents Preface i iv 1 A communication system 1 1.1 Introduction 1 1.2 The channel 1 1.3 Shannon theory and codes 3 1.4 Problems 7 2 Linear

More information

A Survey of the Theory of Error-Correcting Codes

A Survey of the Theory of Error-Correcting Codes Posted by permission A Survey of the Theory of Error-Correcting Codes by Francis Yein Chei Fung The theory of error-correcting codes arises from the following problem: What is a good way to send a message

More information

Split Nonthreshold Laplacian Integral Graphs

Split Nonthreshold Laplacian Integral Graphs Split Nonthreshold Laplacian Integral Graphs Stephen Kirkland University of Regina, Canada kirkland@math.uregina.ca Maria Aguieiras Alvarez de Freitas Federal University of Rio de Janeiro, Brazil maguieiras@im.ufrj.br

More information

Group Theory. Contents

Group Theory. Contents Group Theory Contents Chapter 1: Review... 2 Chapter 2: Permutation Groups and Group Actions... 3 Orbits and Transitivity... 6 Specific Actions The Right regular and coset actions... 8 The Conjugation

More information

Similarity and Diagonalization. Similar Matrices

Similarity 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 information

Section 6.1 - Inner Products and Norms

Section 6.1 - Inner Products and Norms Section 6.1 - Inner Products and Norms Definition. Let V be a vector space over F {R, C}. An inner product on V is a function that assigns, to every ordered pair of vectors x and y in V, a scalar in F,

More information

MATH 304 Linear Algebra Lecture 18: Rank and nullity of a matrix.

MATH 304 Linear Algebra Lecture 18: Rank and nullity of a matrix. MATH 304 Linear Algebra Lecture 18: Rank and nullity of a matrix. Nullspace Let A = (a ij ) be an m n matrix. Definition. The nullspace of the matrix A, denoted N(A), is the set of all n-dimensional column

More information

LINEAR ALGEBRA W W L CHEN

LINEAR ALGEBRA W W L CHEN LINEAR ALGEBRA W W L CHEN c W W L Chen, 1997, 2008 This chapter is available free to all individuals, on understanding that it is not to be used for financial gain, and may be downloaded and/or photocopied,

More information

Solutions to TOPICS IN ALGEBRA I.N. HERSTEIN. Part II: Group Theory

Solutions to TOPICS IN ALGEBRA I.N. HERSTEIN. Part II: Group Theory Solutions to TOPICS IN ALGEBRA I.N. HERSTEIN Part II: Group Theory No rights reserved. Any part of this work can be reproduced or transmitted in any form or by any means. Version: 1.1 Release: Jan 2013

More information

Chapter 7. Permutation Groups

Chapter 7. Permutation Groups Chapter 7 Permutation Groups () We started the study of groups by considering planar isometries In the previous chapter, we learnt that finite groups of planar isometries can only be cyclic or dihedral

More information

MATRIX 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. + + 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 information

THE ENUMERATION OF ROOTED TREES BY TOTAL HEIGHT

THE ENUMERATION OF ROOTED TREES BY TOTAL HEIGHT THE ENUMERATION OF ROOTED TREES BY TOTAL HEIGHT JOHN RIORDAN and N. J. A. SLOANE (Received 22 July 1968) 1. Introduction The height (as in [3] and [4]) of a point in a rooted tree is the length of the

More information

Effective Linear Discriminant Analysis for High Dimensional, Low Sample Size Data

Effective Linear Discriminant Analysis for High Dimensional, Low Sample Size Data Effective Linear Discriant Analysis for High Dimensional, Low Sample Size Data Zhihua Qiao, Lan Zhou and Jianhua Z. Huang Abstract In the so-called high dimensional, low sample size (HDLSS) settings, LDA

More information

Math 312 Homework 1 Solutions

Math 312 Homework 1 Solutions Math 31 Homework 1 Solutions Last modified: July 15, 01 This homework is due on Thursday, July 1th, 01 at 1:10pm Please turn it in during class, or in my mailbox in the main math office (next to 4W1) Please

More information

BX in ( u, v) basis in two ways. On the one hand, AN = u+

BX in ( u, v) basis in two ways. On the one hand, AN = u+ 1. Let f(x) = 1 x +1. Find f (6) () (the value of the sixth derivative of the function f(x) at zero). Answer: 7. We expand the given function into a Taylor series at the point x = : f(x) = 1 x + x 4 x

More information

1 A duality between descents and connectivity.

1 A duality between descents and connectivity. The Descent Set and Connectivity Set of a Permutation 1 Richard P. Stanley 2 Department of Mathematics, Massachusetts Institute of Technology Cambridge, MA 02139, USA rstan@math.mit.edu version of 16 August

More information

COUNTING INDEPENDENT SETS IN SOME CLASSES OF (ALMOST) REGULAR GRAPHS

COUNTING INDEPENDENT SETS IN SOME CLASSES OF (ALMOST) REGULAR GRAPHS COUNTING INDEPENDENT SETS IN SOME CLASSES OF (ALMOST) REGULAR GRAPHS Alexander Burstein Department of Mathematics Howard University Washington, DC 259, USA aburstein@howard.edu Sergey Kitaev Mathematics

More information

3. Linear Programming and Polyhedral Combinatorics

3. Linear Programming and Polyhedral Combinatorics Massachusetts Institute of Technology Handout 6 18.433: Combinatorial Optimization February 20th, 2009 Michel X. Goemans 3. Linear Programming and Polyhedral Combinatorics Summary of what was seen in the

More information

( ) which must be a vector

( ) which must be a vector MATH 37 Linear Transformations from Rn to Rm Dr. Neal, WKU Let T : R n R m be a function which maps vectors from R n to R m. Then T is called a linear transformation if the following two properties are

More information

Introduction to Algebraic Coding Theory

Introduction to Algebraic Coding Theory Introduction to Algebraic Coding Theory Supplementary material for Math 336 Cornell University Sarah A. Spence Contents 1 Introduction 1 2 Basics 2 2.1 Important code parameters..................... 4

More information

Orthogonal Projections

Orthogonal Projections Orthogonal Projections and Reflections (with exercises) by D. Klain Version.. Corrections and comments are welcome! Orthogonal Projections Let X,..., X k be a family of linearly independent (column) vectors

More information

AN ALGORITHM FOR DETERMINING WHETHER A GIVEN BINARY MATROID IS GRAPHIC

AN ALGORITHM FOR DETERMINING WHETHER A GIVEN BINARY MATROID IS GRAPHIC AN ALGORITHM FOR DETERMINING WHETHER A GIVEN BINARY MATROID IS GRAPHIC W. T. TUTTE. Introduction. In a recent series of papers [l-4] on graphs and matroids I used definitions equivalent to the following.

More information

IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL. 1. Introduction

IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL. 1. Introduction IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL R. DRNOVŠEK, T. KOŠIR Dedicated to Prof. Heydar Radjavi on the occasion of his seventieth birthday. Abstract. Let S be an irreducible

More information

Classification of Cartan matrices

Classification of Cartan matrices Chapter 7 Classification of Cartan matrices In this chapter we describe a classification of generalised Cartan matrices This classification can be compared as the rough classification of varieties in terms

More information

Lecture 18 - Clifford Algebras and Spin groups

Lecture 18 - Clifford Algebras and Spin groups Lecture 18 - Clifford Algebras and Spin groups April 5, 2013 Reference: Lawson and Michelsohn, Spin Geometry. 1 Universal Property If V is a vector space over R or C, let q be any quadratic form, meaning

More information

Introduction to Matrix Algebra

Introduction to Matrix Algebra Psychology 7291: Multivariate Statistics (Carey) 8/27/98 Matrix Algebra - 1 Introduction to Matrix Algebra Definitions: A matrix is a collection of numbers ordered by rows and columns. It is customary

More information

SALEM COMMUNITY COLLEGE Carneys Point, New Jersey 08069 COURSE SYLLABUS COVER SHEET. Action Taken (Please Check One) New Course Initiated

SALEM COMMUNITY COLLEGE Carneys Point, New Jersey 08069 COURSE SYLLABUS COVER SHEET. Action Taken (Please Check One) New Course Initiated SALEM COMMUNITY COLLEGE Carneys Point, New Jersey 08069 COURSE SYLLABUS COVER SHEET Course Title Course Number Department Linear Algebra Mathematics MAT-240 Action Taken (Please Check One) New Course Initiated

More information

T ( a i x i ) = a i T (x i ).

T ( 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 information

Math 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 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

Continued Fractions and the Euclidean Algorithm

Continued 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 information

Recall that two vectors in are perpendicular or orthogonal provided that their dot

Recall that two vectors in are perpendicular or orthogonal provided that their dot Orthogonal Complements and Projections Recall that two vectors in are perpendicular or orthogonal provided that their dot product vanishes That is, if and only if Example 1 The vectors in are orthogonal

More information

Transportation Polytopes: a Twenty year Update

Transportation Polytopes: a Twenty year Update Transportation Polytopes: a Twenty year Update Jesús Antonio De Loera University of California, Davis Based on various papers joint with R. Hemmecke, E.Kim, F. Liu, U. Rothblum, F. Santos, S. Onn, R. Yoshida,

More information

Equilibrium computation: Part 1

Equilibrium computation: Part 1 Equilibrium computation: Part 1 Nicola Gatti 1 Troels Bjerre Sorensen 2 1 Politecnico di Milano, Italy 2 Duke University, USA Nicola Gatti and Troels Bjerre Sørensen ( Politecnico di Milano, Italy, Equilibrium

More information

ENUMERATION OF INTEGRAL TETRAHEDRA

ENUMERATION OF INTEGRAL TETRAHEDRA ENUMERATION OF INTEGRAL TETRAHEDRA SASCHA KURZ Abstract. We determine the numbers of integral tetrahedra with diameter d up to isomorphism for all d 1000 via computer enumeration. Therefore we give an

More information

Matrix generators for exceptional groups of Lie type

Matrix generators for exceptional groups of Lie type J. Symbolic Computation (2000) 11, 1 000 Matrix generators for exceptional groups of Lie type R. B. HOWLETT, L. J. RYLANDS AND D. E. TAYLOR School of Mathematics and Statistics, University of Sydney, Australia

More information

Orthogonal Diagonalization of Symmetric Matrices

Orthogonal Diagonalization of Symmetric Matrices MATH10212 Linear Algebra Brief lecture notes 57 Gram Schmidt Process enables us to find an orthogonal basis of a subspace. Let u 1,..., u k be a basis of a subspace V of R n. We begin the process of finding

More information

Name: Section Registered In:

Name: Section Registered In: Name: Section Registered In: Math 125 Exam 3 Version 1 April 24, 2006 60 total points possible 1. (5pts) Use Cramer s Rule to solve 3x + 4y = 30 x 2y = 8. Be sure to show enough detail that shows you are

More information

GROUP ALGEBRAS. ANDREI YAFAEV

GROUP 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 information

Non-catastrophic Encoders and Encoder Inverses for Quantum Convolutional Codes

Non-catastrophic Encoders and Encoder Inverses for Quantum Convolutional Codes Non-catastrophic Encoders and Encoder Inverses for Quantum Convolutional Codes Markus Grassl Institut für Algorithmen und Kognitive Systeme Fakultät für Informatik, Universität Karlsruhe T Am Fasanengarten

More information

Chapter 6. Orthogonality

Chapter 6. Orthogonality 6.3 Orthogonal Matrices 1 Chapter 6. Orthogonality 6.3 Orthogonal Matrices Definition 6.4. An n n matrix A is orthogonal if A T A = I. Note. We will see that the columns of an orthogonal matrix must be

More information

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS

MATRIX 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 information

MATH 423 Linear Algebra II Lecture 38: Generalized eigenvectors. Jordan canonical form (continued).

MATH 423 Linear Algebra II Lecture 38: Generalized eigenvectors. Jordan canonical form (continued). MATH 423 Linear Algebra II Lecture 38: Generalized eigenvectors Jordan canonical form (continued) Jordan canonical form A Jordan block is a square matrix of the form λ 1 0 0 0 0 λ 1 0 0 0 0 λ 0 0 J = 0

More information

Cryptography and Network Security. Prof. D. Mukhopadhyay. Department of Computer Science and Engineering. Indian Institute of Technology, Kharagpur

Cryptography and Network Security. Prof. D. Mukhopadhyay. Department of Computer Science and Engineering. Indian Institute of Technology, Kharagpur Cryptography and Network Security Prof. D. Mukhopadhyay Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur Module No. # 01 Lecture No. # 12 Block Cipher Standards

More information

CONTROLLABILITY. Chapter 2. 2.1 Reachable Set and Controllability. Suppose we have a linear system described by the state equation

CONTROLLABILITY. Chapter 2. 2.1 Reachable Set and Controllability. Suppose we have a linear system described by the state equation Chapter 2 CONTROLLABILITY 2 Reachable Set and Controllability Suppose we have a linear system described by the state equation ẋ Ax + Bu (2) x() x Consider the following problem For a given vector x in

More information

Lectures notes on orthogonal matrices (with exercises) 92.222 - Linear Algebra II - Spring 2004 by D. Klain

Lectures notes on orthogonal matrices (with exercises) 92.222 - Linear Algebra II - Spring 2004 by D. Klain Lectures notes on orthogonal matrices (with exercises) 92.222 - Linear Algebra II - Spring 2004 by D. Klain 1. Orthogonal matrices and orthonormal sets An n n real-valued matrix A is said to be an orthogonal

More information

MATH 551 - APPLIED MATRIX THEORY

MATH 551 - APPLIED MATRIX THEORY MATH 55 - APPLIED MATRIX THEORY FINAL TEST: SAMPLE with SOLUTIONS (25 points NAME: PROBLEM (3 points A web of 5 pages is described by a directed graph whose matrix is given by A Do the following ( points

More information

Solutions to Math 51 First Exam January 29, 2015

Solutions to Math 51 First Exam January 29, 2015 Solutions to Math 5 First Exam January 29, 25. ( points) (a) Complete the following sentence: A set of vectors {v,..., v k } is defined to be linearly dependent if (2 points) there exist c,... c k R, not

More information

Degree Hypergroupoids Associated with Hypergraphs

Degree 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 information

These axioms must hold for all vectors ū, v, and w in V and all scalars c and d.

These axioms must hold for all vectors ū, v, and w in V and all scalars c and d. DEFINITION: A vector space is a nonempty set V of objects, called vectors, on which are defined two operations, called addition and multiplication by scalars (real numbers), subject to the following axioms

More information

Inner product. Definition of inner product

Inner product. Definition of inner product Math 20F Linear Algebra Lecture 25 1 Inner product Review: Definition of inner product. Slide 1 Norm and distance. Orthogonal vectors. Orthogonal complement. Orthogonal basis. Definition of inner product

More information

BABY VERMA MODULES FOR RATIONAL CHEREDNIK ALGEBRAS

BABY VERMA MODULES FOR RATIONAL CHEREDNIK ALGEBRAS BABY VERMA MODULES FOR RATIONAL CHEREDNIK ALGEBRAS SETH SHELLEY-ABRAHAMSON Abstract. These are notes for a talk in the MIT-Northeastern Spring 2015 Geometric Representation Theory Seminar. The main source

More information

Sphere Packings, Lattices, and Kissing Configurations in R n

Sphere Packings, Lattices, and Kissing Configurations in R n Sphere Packings, Lattices, and Kissing Configurations in R n Stephanie Vance University of Washington April 9, 2009 Stephanie Vance (University of Washington)Sphere Packings, Lattices, and Kissing Configurations

More information

A note on companion matrices

A note on companion matrices Linear Algebra and its Applications 372 (2003) 325 33 www.elsevier.com/locate/laa A note on companion matrices Miroslav Fiedler Academy of Sciences of the Czech Republic Institute of Computer Science Pod

More information

D-optimal plans in observational studies

D-optimal plans in observational studies D-optimal plans in observational studies Constanze Pumplün Stefan Rüping Katharina Morik Claus Weihs October 11, 2005 Abstract This paper investigates the use of Design of Experiments in observational

More information

Analysis of a Production/Inventory System with Multiple Retailers

Analysis of a Production/Inventory System with Multiple Retailers Analysis of a Production/Inventory System with Multiple Retailers Ann M. Noblesse 1, Robert N. Boute 1,2, Marc R. Lambrecht 1, Benny Van Houdt 3 1 Research Center for Operations Management, University

More information

ON DEGREES IN THE HASSE DIAGRAM OF THE STRONG BRUHAT ORDER

ON DEGREES IN THE HASSE DIAGRAM OF THE STRONG BRUHAT ORDER Séminaire Lotharingien de Combinatoire 53 (2006), Article B53g ON DEGREES IN THE HASSE DIAGRAM OF THE STRONG BRUHAT ORDER RON M. ADIN AND YUVAL ROICHMAN Abstract. For a permutation π in the symmetric group

More information

Notes on Determinant

Notes 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 information

Linear Algebra. A vector space (over R) is an ordered quadruple. such that V is a set; 0 V ; and the following eight axioms hold:

Linear Algebra. A vector space (over R) is an ordered quadruple. such that V is a set; 0 V ; and the following eight axioms hold: Linear Algebra A vector space (over R) is an ordered quadruple (V, 0, α, µ) such that V is a set; 0 V ; and the following eight axioms hold: α : V V V and µ : R V V ; (i) α(α(u, v), w) = α(u, α(v, w)),

More information

DATA ANALYSIS II. Matrix Algorithms

DATA 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 information

3. INNER PRODUCT SPACES

3. INNER PRODUCT SPACES . INNER PRODUCT SPACES.. Definition So far we have studied abstract vector spaces. These are a generalisation of the geometric spaces R and R. But these have more structure than just that of a vector space.

More information

A simple criterion on degree sequences of graphs

A simple criterion on degree sequences of graphs Discrete Applied Mathematics 156 (2008) 3513 3517 Contents lists available at ScienceDirect Discrete Applied Mathematics journal homepage: www.elsevier.com/locate/dam Note A simple criterion on degree

More information

CODES OVER RINGS: MAXIMUM DISTANCE SEPARABILITY

CODES OVER RINGS: MAXIMUM DISTANCE SEPARABILITY Departament d Enginyeria de la Informació i de les Comunicacions CODES OVER RINGS: MAXIMUM DISTANCE SEPARABILITY AND SELF-DUALITY SUBMITTED TO UNIVERSITAT AUTÒNOMA DE BARCELONA IN PARTIAL FULFILLMENT OF

More information

Row Ideals and Fibers of Morphisms

Row 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 information

ADDITIVE GROUPS OF RINGS WITH IDENTITY

ADDITIVE 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 information

DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS

DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS ASHER M. KACH, KAREN LANGE, AND REED SOLOMON Abstract. We construct two computable presentations of computable torsion-free abelian groups, one of isomorphism

More information

5. Orthogonal matrices

5. Orthogonal matrices L Vandenberghe EE133A (Spring 2016) 5 Orthogonal matrices matrices with orthonormal columns orthogonal matrices tall matrices with orthonormal columns complex matrices with orthonormal columns 5-1 Orthonormal

More information

The Open University s repository of research publications and other research outputs

The Open University s repository of research publications and other research outputs Open Research Online The Open University s repository of research publications and other research outputs The degree-diameter problem for circulant graphs of degree 8 and 9 Journal Article How to cite:

More information

Wavelet analysis. Wavelet requirements. Example signals. Stationary signal 2 Hz + 10 Hz + 20Hz. Zero mean, oscillatory (wave) Fast decay (let)

Wavelet analysis. Wavelet requirements. Example signals. Stationary signal 2 Hz + 10 Hz + 20Hz. Zero mean, oscillatory (wave) Fast decay (let) Wavelet analysis In the case of Fourier series, the orthonormal basis is generated by integral dilation of a single function e jx Every 2π-periodic square-integrable function is generated by a superposition

More information

Chapter 6: Multivariate Cointegration Analysis

Chapter 6: Multivariate Cointegration Analysis Chapter 6: Multivariate Cointegration Analysis 1 Contents: Lehrstuhl für Department Empirische of Wirtschaftsforschung Empirical Research and und Econometrics Ökonometrie VI. Multivariate Cointegration

More information

(0, 0) : order 1; (0, 1) : order 4; (0, 2) : order 2; (0, 3) : order 4; (1, 0) : order 2; (1, 1) : order 4; (1, 2) : order 2; (1, 3) : order 4.

(0, 0) : order 1; (0, 1) : order 4; (0, 2) : order 2; (0, 3) : order 4; (1, 0) : order 2; (1, 1) : order 4; (1, 2) : order 2; (1, 3) : order 4. 11.01 List the elements of Z 2 Z 4. Find the order of each of the elements is this group cyclic? Solution: The elements of Z 2 Z 4 are: (0, 0) : order 1; (0, 1) : order 4; (0, 2) : order 2; (0, 3) : order

More information

PRIME FACTORS OF CONSECUTIVE INTEGERS

PRIME FACTORS OF CONSECUTIVE INTEGERS PRIME FACTORS OF CONSECUTIVE INTEGERS MARK BAUER AND MICHAEL A. BENNETT Abstract. This note contains a new algorithm for computing a function f(k) introduced by Erdős to measure the minimal gap size in

More information

EXTENSIONS OF MAPS IN SPACES WITH PERIODIC HOMEOMORPHISMS

EXTENSIONS OF MAPS IN SPACES WITH PERIODIC HOMEOMORPHISMS BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY Volume 78, Number 4, July 1972 EXTENSIONS OF MAPS IN SPACES WITH PERIODIC HOMEOMORPHISMS BY JAN W. JAWOROWSKI Communicated by Victor Klee, November 29, 1971

More information

24. The Branch and Bound Method

24. The Branch and Bound Method 24. The Branch and Bound Method It has serious practical consequences if it is known that a combinatorial problem is NP-complete. Then one can conclude according to the present state of science that no

More information

Rotation Matrices and Homogeneous Transformations

Rotation 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 information

18.06 Problem Set 4 Solution Due Wednesday, 11 March 2009 at 4 pm in 2-106. Total: 175 points.

18.06 Problem Set 4 Solution Due Wednesday, 11 March 2009 at 4 pm in 2-106. Total: 175 points. 806 Problem Set 4 Solution Due Wednesday, March 2009 at 4 pm in 2-06 Total: 75 points Problem : A is an m n matrix of rank r Suppose there are right-hand-sides b for which A x = b has no solution (a) What

More information

MATH1231 Algebra, 2015 Chapter 7: Linear maps

MATH1231 Algebra, 2015 Chapter 7: Linear maps MATH1231 Algebra, 2015 Chapter 7: Linear maps A/Prof. Daniel Chan School of Mathematics and Statistics University of New South Wales danielc@unsw.edu.au Daniel Chan (UNSW) MATH1231 Algebra 1 / 43 Chapter

More information

Fuzzy Differential Systems and the New Concept of Stability

Fuzzy Differential Systems and the New Concept of Stability Nonlinear Dynamics and Systems Theory, 1(2) (2001) 111 119 Fuzzy Differential Systems and the New Concept of Stability V. Lakshmikantham 1 and S. Leela 2 1 Department of Mathematical Sciences, Florida

More information

SECRET sharing schemes were introduced by Blakley [5]

SECRET sharing schemes were introduced by Blakley [5] 206 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 52, NO. 1, JANUARY 2006 Secret Sharing Schemes From Three Classes of Linear Codes Jin Yuan Cunsheng Ding, Senior Member, IEEE Abstract Secret sharing has

More information

Mathematics Course 111: Algebra I Part IV: Vector Spaces

Mathematics 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 information

ISOMETRIES OF R n KEITH CONRAD

ISOMETRIES OF R n KEITH CONRAD ISOMETRIES OF R n KEITH CONRAD 1. Introduction An isometry of R n is a function h: R n R n that preserves the distance between vectors: h(v) h(w) = v w for all v and w in R n, where (x 1,..., x n ) = x

More information

On the representability of the bi-uniform matroid

On the representability of the bi-uniform matroid On the representability of the bi-uniform matroid Simeon Ball, Carles Padró, Zsuzsa Weiner and Chaoping Xing August 3, 2012 Abstract Every bi-uniform matroid is representable over all sufficiently large

More information

Inner Product Spaces and Orthogonality

Inner Product Spaces and Orthogonality Inner Product Spaces and Orthogonality week 3-4 Fall 2006 Dot product of R n The inner product or dot product of R n is a function, defined by u, v a b + a 2 b 2 + + a n b n for u a, a 2,, a n T, v b,

More information

Lecture Notes 2: Matrices as Systems of Linear Equations

Lecture Notes 2: Matrices as Systems of Linear Equations 2: Matrices as Systems of Linear Equations 33A Linear Algebra, Puck Rombach Last updated: April 13, 2016 Systems of Linear Equations Systems of linear equations can represent many things You have probably

More information

Direct Methods for Solving Linear Systems. Matrix Factorization

Direct Methods for Solving Linear Systems. Matrix Factorization Direct Methods for Solving Linear Systems Matrix Factorization Numerical Analysis (9th Edition) R L Burden & J D Faires Beamer Presentation Slides prepared by John Carroll Dublin City University c 2011

More information

Math 319 Problem Set #3 Solution 21 February 2002

Math 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 information

1 Introduction to Matrices

1 Introduction to Matrices 1 Introduction to Matrices In this section, important definitions and results from matrix algebra that are useful in regression analysis are introduced. While all statements below regarding the columns

More information

RINGS WITH A POLYNOMIAL IDENTITY

RINGS WITH A POLYNOMIAL IDENTITY RINGS WITH A POLYNOMIAL IDENTITY IRVING KAPLANSKY 1. Introduction. In connection with his investigation of projective planes, M. Hall [2, Theorem 6.2]* proved the following theorem: a division ring D in

More information

GROUPS ACTING ON A SET

GROUPS ACTING ON A SET GROUPS ACTING ON A SET MATH 435 SPRING 2012 NOTES FROM FEBRUARY 27TH, 2012 1. Left group actions Definition 1.1. Suppose that G is a group and S is a set. A left (group) action of G on S is a rule for

More information

Several Classes of Codes and Sequences Derived From a 4 -Valued Quadratic Form Nian Li, Xiaohu Tang, Member, IEEE, and Tor Helleseth, Fellow, IEEE

Several Classes of Codes and Sequences Derived From a 4 -Valued Quadratic Form Nian Li, Xiaohu Tang, Member, IEEE, and Tor Helleseth, Fellow, IEEE 7618 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL 57, NO 11, NOVEMBER 2011 Several Classes of Codes Sequences Derived From a 4 -Valued Quadratic Form Nian Li, Xiaohu Tang, Member, IEEE, Tor Helleseth,

More information