Jordan Algebras and the Exceptional Lie algebra f 4

Size: px
Start display at page:

Download "Jordan Algebras and the Exceptional Lie algebra f 4"

Transcription

1 Tutorial Series Table of Contents Related Pages digitalcommons.usu. edu/dg Jordan Algebras and the Exceptional Lie algebra f Synopsis. The Compact Form of f References Release Notes Cartan Subalgebras. The Split form of f Author. f 6 6 References Synopsis Jordan algebras are a general class of commutative (but usually non-associative) algebras which satisfy a certain weak associativity identity. A Jordan algebra is called special if there is an underlying associative algebra A and the Jordan product is x + y = / xy C yx. Jordan algebras which are not special are called exceptional. Let O denote the octonions let O' denote the split octonions let pq be the diagonal matrix with its first p entries equal to + and its remaining q entries equal to -. Let M n A denote the algebra of n # n matrices over an algebra (possibly non-associative) A. Define the Jordan algebras J O = A M O A = A J O' = A M O' A = A J O = A M O A = A.

2 We view these as real algebras. Since the octonions are non-associative these Jordan algebras are exceptional. All are easily created in Maple. The derivations of an algebra A over a field k are the kklinear maps f : A / A such that f x $ y = f x $y C x$f y. The set of all derivations forms a Lie algebra. n 95 Chevalley and Schafer [] proved that the derivation algebra of J O is the compact real form of the exceptional Lie algebra f. n Section of this tutorial we shall verify this result of Chevalley and Schafer. n Section we show that the derivation algebra of J O' is the split real form of f. We shall calculate the Chevalley basis for the split form of f. n Section we show that the derivation algebra of J O' gives the sole non-compact non-split real form of f. We shall produce the Satake diagram for this form.. The Compact Form of f as the Derivation Algebra of the Jordan Algebra J O with(differentialgeometry): with(liealgebras): We use the AlgebraLibraryData command to obtain the multiplication rules for the exceptional Jordan algebra J O. We shall refer to this 7-dimensional algebra as J. AD := AlgebraLibraryData("Jordan(Octonions)" JO): We use the DGsetup command to initialize this algebra. DGsetup(AD); algebra name: JO (.) The algebra of derivations of J O is a matrix algebra of 7 # 7 matrices. A basis of matrices for the derivations is computed here. Because of the size of this Lie algebra some of the the following calculations may take a minute or so to execute. JO autj := Derivations(JO): The derivation algebra is 5-dimensional.

3 JO nops(autj); 5 (.) We use the command LieAlgebraData to find the structure equations for the Lie algebra of derivations and initialize it. The keyword argument check = "no" means that the code will not check that the matrices are actually closed with respect to the matrix commutator. JO JO LD := LieAlgebraData(autJ f check = "no"): DGsetup(LD); Lie algebra: f (.) Now we show that this 5-dimensional Lie algebra is the compact real form for f. First we find the Killing form and calculate its signature. f B := KillingForm(f): Next we use QuadraticFormSignature to find a list of subspaces on which the Killing form is positive-definite negative definite and null. f S d f S := Tensor:-QuadraticFormSignature(B); e e e e e5 e6 e7 e8 e9 e e e e e e5 e6 e7 e8 e9 e e e e e e5 e5 K e5 e5 K e5 C e5 e5 C e C e5 C e5 e6 e6 K e5 e6 C e C e5 e6 C e K e C e5 e7 e7 K e5 e7 K e9 C e5 e7 C e C e9 C e5 e8 e8 C e8 e8 C e K e8 e8 C e5 K e K e8 e9 e9 C e9 e9 K e K e9 e9 C e6 C e K e9 e e K e6 e K e C e6 e C e7 C e C e6 e e K e7 e C e C e7 e C e8 K e C e7 map(nops S); 5 (.) (.5) This shows that the Killing form is negative-definite and therefore our Lie algebra is the compact form of a semi-simple Lie algebra. We now classify this algebra using the structure theory of semi-simple Lie algebras. This involves three steps. First find a Cartan subalgebra. Second find the corresponding root space decomposition. Third identify the simple roots and calculate the Cartan matrix.

4 Step. We find a Cartan subalgebra. t has dimension so that the derivation algebra f has rank. f CSA := CartanSubalgebra(); CSA d e e e K e e7 C e6 (.6) Since we know that the algebra is semi-simple we know that all Cartan subalgebras are abelian. Hence an alternative way to calculate a Cartan subalgebra (and one that is usually computationally faster) is to calculate a maximal abelian subalgebra MAS. f MAS := MaximalAbelianSubalgebra([e]); MAS d e e e K e e7 C e6 (.7) The generalized null space of this MAS is the MAS itself. This proves that our MAS is self-normalizing and therefore a Cartan subalgebra. f GeneralizedNullSpace(MAS); e e e K e e7 C e6 (.8) Step. We see that all the roots in the root space decomposition are pure imaginary numbers. This is consistent with the fact that the Lie algebra is of compact type. f f RSD := RootSpaceDecomposition(CSA): PosRts := PositiveRoots(RSD); PosRts d K K K K K K K K K K (.9)

5 K K K K K K K K Step. Finally we find the simple roots and the Cartan matrix to conclude that the derivation algebra of the octonions is the compact real form of f. f SimRts := SimpleRoots(PosRts); SimRts d K K K K K (.) f CM := CartanMatrix(SimRts RSD); K K CM d K K K (.) K To classify the Lie algebra from its Cartan matrix we transform it to standard form. f CartanMatrixToStandardForm(CM); (.)

6 K K K K K "F" (.) K. The Split Real Form of f as the Derivation Algebra of the Jordan Algebra J O ' We repeat the calculations of the previous section using the split octonions in place of the octonions. We use the AlgebraLibraryData command to obtain the multiplication rules for the exceptional Jordan algebra J O'. We shall refer to this 7-dimensional algebra as JS. This section may be executed independently of Section. with(differentialgeometry): with(liealgebras): AD := AlgebraLibraryData("Jordan( Octonions)" JOS type = "Split"): We use the DGsetup command to initialize this algebra. DGsetup(AD); algebra name: JOS (.) The algebra of derivations is a matrix algebra of 7 # 7 matrices. We do not display the matrices. JOS autjos:= Derivations(JOS): The derivation algebra is 5-dimensional. JOS nops(autjos); 5 (.)

7 We find the structure equations for the Lie algebra and initialize. The keyword argument check = "no" means that the code will not check that the matrices are actually closed with respect to the matrix commutator. JOS JOS LD := LieAlgebraData(autJOS f check = "no"): DGsetup(LD); Lie algebra: f (.) Now we show that this 5-dimensional Lie algebra is the split real form for f. We calculate the Killing form and find its signature to be [8 ]. This shows that our algebra f is semi-simple. f f f B := KillingForm(f): S := Tensor:-QuadraticFormSignature(B): map(nops S); 8 (.) The steps to finding the Chevalley basis for f are: [] Find any Cartan subalgebra. [] Find the root space decomposition. f the roots are real then skip to step 5. Otherwise steps [] and [] construct maximally non-compact Cartan subalgebra. [] Find a Cartan decomposition. [] Find a maximal abelian sub-algebra in the positive part of the Cartan decomposition. At this point we now have a Cartan subalgebra giving a real root space decomposition [5] Recalculate the root space decomposition [6] Calculate the Chevalley basis. Step. Find a Cartan subalgebra for f. f CSA := CartanSubalgebra(); CSA d e e e K e e7 K e6 (.5) Step. Find the root space decomposition. We see that the roots are not real and therefore this choice of Cartan subalgebra will not lead to a real change of basis for the Chevalley basis. f f RSD := RootSpaceDecomposition(CSA): PosRts := PositiveRoots(RSD);

8 PosRts d K K K K K K K K K (.6) K K K K K K K K K Step. Find the Cartan decomposition. f T P := CartanDecomposition(CSA RSD PosRts); T P d e e C e5 e e K 5 e6 e5 e K e6 e K e e C e e7 C e e8 K e e9 (.7) K e e C e e5 e6 K 5 e8 C 5 e8 C e5 e7 e e e e5 C e8 C e5 e6 K e9 K e5 e8 C e7 C e5 e9 K 5 e C 5 e9 C e5 e e5 C 5 e7 C e5 e C e5 e K 5 e6 e7 e8 e9 e K e6 e K e e C e e7 C e e8 K e e9 K e e C e e6 K 5 e8 C 5 e8 C e5 e9 e e C e e K e K e7 K e5 e K e8 K e5 e K e9 K e5 e5 e6 e7 e8 K e e9 K 5 e C 5 e9 C e5 e e e5 C 5 e7 C e5 e6 Step. Find a maximal abelian ideal inside of the positive part P of the Cartan decomposition. This is the required maximally non-compact Cartan subalgebra.

9 f CSA := MaximalAbelianSubalgebra([e + *e5] P); CSA d e C e5 e6 K 5 e8 C 5 e8 C e5 e K e6 e (.8) All steps []--[] can be executed using the keyword argument maximallynoncompact = "yes". f CartanSubalgebra(maximallynoncompact = "yes"); e C e5 e6 K 5 e8 C 5 e8 C e5 e K e6 e (.9) Step 5. Find the root space decomposition for CSA. Now the roots are all real. f f RSD := RootSpaceDecomposition(CSA): PosRts := PositiveRoots(RSD); PosRts d K K K K K K 8 K K (.) K K K K K K K K K K K K Step 6. Find the Chevalley basis. f CB := ChevalleyBasis(RSD PosRts): Finally let's examine the structure equations in this basis.

10 f LD := LieAlgebraData(CB fcb): n the Chevalley basis the Cartan subalgebra is given by the first vectors the next vectors are bases for the positive root spaces and the last vectors are bases for the negative root spaces. JOS VectorLabels := [h h h h seq(x i i =.. ) seq(y i i =.. )] ; VectorLabels d h h h h x x x x x5 x6 x7 x8 x9 x x x x x x5 x6 x7 x8 x9 x x x x x y y y y y5 y6 y7 y8 y9 y y y y y y5 y6 y7 y8 y9 y y y y y f DGsetup(LD VectorLabels ['o']); Lie algebra: fcb (.) (.) The entire multiplication table is too large to display so we consider just a block in the upper left-hand corner. fcb MultiplicationTable(fcb "LieTable" rows = [ ] columns = [ ]); fcb h h h h x x x x x5 x6 x7 x8 x9 x h x K x K x5 x7 x8 K x9 K x h K x x K x x5 K x6 x7 x9 h K x x K x x6 K x7 K x9 x h K x x K x5 x6 K x8 x9 K x (.) We see that h h h h give the Cartan subalgebra (they are abelian and act by scaling on the remaining root spaces). We see that the coefficients in the multiplication table are all integers between - and. The Cartan matrix appears as the coefficients in the structure equations for hi xj.. The Remaining Real Form of f f 6 6 ) as the Derivation Algebra of the Jordan Algebra J O We repeat the calculations of the previous two sections using the exceptional Jordan algebra J O. This algebra is not stored in DifferentialGeometry and so must be constructed by hand.

11 This section may be executed independently of Sections and. with(differentialgeometry): with(liealgebras): The first step in creating the exceptional Jordan algebra is to create the octonions. AD := AlgebraLibraryData("Octonions" H); AD d e e = e e e = e e e = e e e = e e e5 = e5 e e6 = e6 e e7 = e7 e e8 = e8 e e = e e e = K e e e = e e e = K e e e5 = e6 e e6 = K e5 e e7 = K e8 e e8 = e7 e e = e e e = K e e e = K e e e = e e e5 = e7 e e6 = e8 e e7 = K e5 e e8 = K e6 e e = e e e = e e e = K e e e = K e e e5 = e8 e e6 = K e7 e e7 = e6 e e8 = K e5 e5 e = e5 e5 e = K e6 e5 e = K e7 e5 e = K e8 e5 e5 = K e e5 e6 = e e5 e7 = e e5 e8 = e e6 e = e6 e6 e = e5 e6 e = K e8 e6 e = e7 e6 e5 = K e e6 e6 = K e e6 e7 = K e e6 e8 = e e7 e = e7 e7 e = e8 e7 e = e5 e7 e = K e6 e7 e5 = K e e7 e6 = e e7 e7 = K e e7 e8 = K e e8 e = e8 e8 e = K e7 e8 e = e6 e8 e = e5 e8 e5 = K e e8 e6 = K e e8 e7 = e e8 e8 = K e DGsetup(AD [x] [o]); algebra name: H (.) (.) Note that we are using x to denote algebra elements with o denoting elements of the dual. Here are the Jordan matrices over the octonions which are Hermitian with respect to the standard -dimensional Minkowski inner product. H JM := JordanMatrices( H signature = [ ]); x x x x x x x x x x x x x x x JM := x x x x x x x x x K x x x K x x x (.) x x x x x x x x x x x x x x x x x x x x5 x x x6 x x x7 x x x8 x K x x x K x5 x x K x6 x x K x7 x x K x8 x x x x x x x x x x x x x x x x x

12 x x x x x x x x x x x x x x x5 x x x x x x x x x x x x x x x K x x x x x x x x x x x x x5 x x x x x6 x x x7 x x x8 x x x x x x x x x x x x x x x x x x x x x x6 x x x7 x x x8 x x x K x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x5 x x x6 x x x7 x x x8 x x x x x x x x5 x x x6 x x x7 x x x8 x x x x x x x x x x Calculate the structure constants for these matrices. AD := AlgebraData(JM JordanProduct JO): We use the DGsetup command to initialize this algebra. DGsetup(AD); algebra name: JO (.) The algebra of derivations is a matrix algebra of 7 # 7 matrices. We do not display the matrices. JO autjo:= Derivations(JO): The derivation algebra is 5-dimensional. JO nops(autjo); 5 (.5)

13 We find the structure equations for the Lie algebra of derivations and initialize it. The keyword argument check = "no" means that the code will not check that the matrices are actually closed with respect to the matrix commutator. JO JO LD := LieAlgebraData(autJO f check = "no"): DGsetup(LD); Lie algebra: f (.6) Now we show that this 5-dimensional Lie algebra is the non-compact non-split real form for f. We calculate the Killing form and find its signature to be [6 6]. f f f B := KillingForm(f): S := Tensor:-QuadraticFormSignature(B): map(nops S); 6 6 (.7) The steps to finding the Satake diagram for f are: [] Find a maximally non-compact Cartan subalgebra. [] Calculate the root space decomposition. [] Examine the simple roots and determine which ones are Satake associates. Step. Find a maximally compact Cartan subalgebra for f. f CSA := CartanSubalgebra(maximallynoncompact = "yes"); CSA := e9 e5 C e7 C e5 e9 K e e8 C e5 (.8) Step. Find the root space decomposition and the simple roots. f f f RSD := RootSpaceDecomposition(CSA): PosRts := PositiveRoots(RSD): SimRts := SimpleRoots(PosRts); (.9)

14 SimRts := K K K K K (.9) f CM := CartanMatrix(SimRts RSD); K K CM := K K K K (.) f CM := CartanMatrixToStandardForm(CM SimRts); K CM := K K K K "F" (.) K Step. The first roots are purely imaginary roots and these are therefore colored. in the Satake diagram. The th root is white and is its own Satake associate. This gives the correct Satake diagram for f 6 6 or f K. References. John Baez The octonions Bull. Amer. Math. Soc. 9() 5-5. C. Chevalley and R. D. Schafer The exceptional simple Lie algebras F and E6 Proc. Nat. Acad. Sci. U.S. 6 7 (95). W. Fulton and J. Harris Representation Theory Graduate Texts in Mathematics 9 Springer

15 Release Notes This worksheet was compiled with Maple 7 and DG release USU available by request from ian.anderson@usu.edu Author an M. Anderson Department of Mathematics Utah State University December

Cartan Involutions and Cartan Decompositions of a Semi-Simple Lie Algebra

Cartan Involutions and Cartan Decompositions of a Semi-Simple Lie Algebra Utah State University DigitalCommons@USU Tutorials on... in hour or less Differential Geometry Software Project -7-205 Cartan Involutions and Cartan Decompositions of a Semi-Simple Lie Algebra Ian M. Anderson

More information

Non-Isomorphic Real Simple Lie Algebras of the Same Complex Type and Character

Non-Isomorphic Real Simple Lie Algebras of the Same Complex Type and Character Tutorial Series igitalcommons.u.eu/g Non-Imorphic Real Simple Lie Algebras of the Same Complex Type an Character Synopsis Complex simple Lie algebras are classifie by their root types -- these are labele

More information

Citation for published version (APA): Nutma, T. A. (2010). Kac-Moody Symmetries and Gauged Supergravity Groningen: s.n.

Citation for published version (APA): Nutma, T. A. (2010). Kac-Moody Symmetries and Gauged Supergravity Groningen: s.n. University of Groningen Kac-Moody Symmetries and Gauged Supergravity Nutma, Teake IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please

More information

LECTURE 8: DETERMINANTS AND PERMUTATIONS

LECTURE 8: DETERMINANTS AND PERMUTATIONS LECTURE 8: DETERMINANTS AND PERMUTATIONS MA1111: LINEAR ALGEBRA I, MICHAELMAS 2016 1 Determinants In the last lecture, we saw some applications of invertible matrices We would now like to describe how

More information

Multiple Input Multiple Output (MIMO) Operation Principles

Multiple Input Multiple Output (MIMO) Operation Principles Afriyie Abraham Kwabena Multiple Input Multiple Output (MIMO) Operation Principles Helsinki Metropolia University of Applied Sciences Bachlor of Engineering Information Technology Thesis June 0 Abstract

More information

THE SIGN OF A PERMUTATION

THE SIGN OF A PERMUTATION THE SIGN OF A PERMUTATION KEITH CONRAD 1. Introduction Throughout this discussion, n 2. Any cycle in S n is a product of transpositions: the identity (1) is (12)(12), and a k-cycle with k 2 can be written

More information

Lecture 3 Presentations and more Great Groups

Lecture 3 Presentations and more Great Groups Lecture Presentations and more Great Groups From last time: A subset of elements S G with the property that every element of G can be written as a finite product of elements of S and their inverses is

More information

17. Symmetries. Thus, the example above corresponds to the matrix: We shall now look at how permutations relate to trees.

17. Symmetries. Thus, the example above corresponds to the matrix: We shall now look at how permutations relate to trees. 7 Symmetries 7 Permutations A permutation of a set is a reordering of its elements Another way to look at it is as a function Φ that takes as its argument a set of natural numbers of the form {, 2,, n}

More information

1111: Linear Algebra I

1111: Linear Algebra I 1111: Linear Algebra I Dr. Vladimir Dotsenko (Vlad) Lecture 7 Dr. Vladimir Dotsenko (Vlad) 1111: Linear Algebra I Lecture 7 1 / 8 Invertible matrices Theorem. 1. An elementary matrix is invertible. 2.

More information

Week 1. 1 What Is Combinatorics?

Week 1. 1 What Is Combinatorics? 1 What Is Combinatorics? Week 1 The question that what is combinatorics is similar to the question that what is mathematics. If we say that mathematics is about the study of numbers and figures, then combinatorics

More information

MATHEMATICS ON THE CHESSBOARD

MATHEMATICS ON THE CHESSBOARD MATHEMATICS ON THE CHESSBOARD Problem 1. Consider a 8 8 chessboard and remove two diametrically opposite corner unit squares. Is it possible to cover (without overlapping) the remaining 62 unit squares

More information

MATH 433 Applied Algebra Lecture 12: Sign of a permutation (continued). Abstract groups.

MATH 433 Applied Algebra Lecture 12: Sign of a permutation (continued). Abstract groups. MATH 433 Applied Algebra Lecture 12: Sign of a permutation (continued). Abstract groups. Permutations Let X be a finite set. A permutation of X is a bijection from X to itself. The set of all permutations

More information

NEGATIVE FOUR CORNER MAGIC SQUARES OF ORDER SIX WITH a BETWEEN 1 AND 5

NEGATIVE FOUR CORNER MAGIC SQUARES OF ORDER SIX WITH a BETWEEN 1 AND 5 NEGATIVE FOUR CORNER MAGIC SQUARES OF ORDER SIX WITH a BETWEEN 1 AND 5 S. Al-Ashhab Depratement of Mathematics Al-Albayt University Mafraq Jordan Email: ahhab@aabu.edu.jo Abstract: In this paper we introduce

More information

Chapter 6.1. Cycles in Permutations

Chapter 6.1. Cycles in Permutations Chapter 6.1. Cycles in Permutations Prof. Tesler Math 184A Fall 2017 Prof. Tesler Ch. 6.1. Cycles in Permutations Math 184A / Fall 2017 1 / 27 Notations for permutations Consider a permutation in 1-line

More information

Classification of Spacetimes with Symmetry

Classification of Spacetimes with Symmetry Utah State University DigitalCommons@USU All Graduate Theses and Dissertations Graduate Studies 5-2016 Classification of Spacetimes with Symmetry Jesse W. Hicks Utah State University Follow this and additional

More information

To Your Hearts Content

To Your Hearts Content To Your Hearts Content Hang Chen University of Central Missouri Warrensburg, MO 64093 hchen@ucmo.edu Curtis Cooper University of Central Missouri Warrensburg, MO 64093 cooper@ucmo.edu Arthur Benjamin [1]

More information

Math 3560 HW Set 6. Kara. October 17, 2013

Math 3560 HW Set 6. Kara. October 17, 2013 Math 3560 HW Set 6 Kara October 17, 013 (91) Let I be the identity matrix 1 Diagonal matrices with nonzero entries on diagonal form a group I is in the set and a 1 0 0 b 1 0 0 a 1 b 1 0 0 0 a 0 0 b 0 0

More information

Analysis on the Properties of a Permutation Group

Analysis on the Properties of a Permutation Group International Journal of Theoretical and Applied Mathematics 2017; 3(1): 19-24 http://www.sciencepublishinggroup.com/j/ijtam doi: 10.11648/j.ijtam.20170301.13 Analysis on the Properties of a Permutation

More information

MAS336 Computational Problem Solving. Problem 3: Eight Queens

MAS336 Computational Problem Solving. Problem 3: Eight Queens MAS336 Computational Problem Solving Problem 3: Eight Queens Introduction Francis J. Wright, 2007 Topics: arrays, recursion, plotting, symmetry The problem is to find all the distinct ways of choosing

More information

28,800 Extremely Magic 5 5 Squares Arthur Holshouser. Harold Reiter.

28,800 Extremely Magic 5 5 Squares Arthur Holshouser. Harold Reiter. 28,800 Extremely Magic 5 5 Squares Arthur Holshouser 3600 Bullard St. Charlotte, NC, USA Harold Reiter Department of Mathematics, University of North Carolina Charlotte, Charlotte, NC 28223, USA hbreiter@uncc.edu

More information

Reflections on the N + k Queens Problem

Reflections on the N + k Queens Problem Integre Technical Publishing Co., Inc. College Mathematics Journal 40:3 March 12, 2009 2:02 p.m. chatham.tex page 204 Reflections on the N + k Queens Problem R. Douglas Chatham R. Douglas Chatham (d.chatham@moreheadstate.edu)

More information

Three of these grids share a property that the other three do not. Can you find such a property? + mod

Three of these grids share a property that the other three do not. Can you find such a property? + mod PPMTC 22 Session 6: Mad Vet Puzzles Session 6: Mad Veterinarian Puzzles There is a collection of problems that have come to be known as "Mad Veterinarian Puzzles", for reasons which will soon become obvious.

More information

Twenty-fourth Annual UNC Math Contest Final Round Solutions Jan 2016 [(3!)!] 4

Twenty-fourth Annual UNC Math Contest Final Round Solutions Jan 2016 [(3!)!] 4 Twenty-fourth Annual UNC Math Contest Final Round Solutions Jan 206 Rules: Three hours; no electronic devices. The positive integers are, 2, 3, 4,.... Pythagorean Triplet The sum of the lengths of the

More information

A NEW COMPUTATION OF THE CODIMENSION SEQUENCE OF THE GRASSMANN ALGEBRA

A NEW COMPUTATION OF THE CODIMENSION SEQUENCE OF THE GRASSMANN ALGEBRA A NEW COMPUTATION OF THE CODIMENSION SEQUENCE OF THE GRASSMANN ALGEBRA JOEL LOUWSMA, ADILSON EDUARDO PRESOTO, AND ALAN TARR Abstract. Krakowski and Regev found a basis of polynomial identities satisfied

More information

Permutation Generation Method on Evaluating Determinant of Matrices

Permutation Generation Method on Evaluating Determinant of Matrices Article International Journal of Modern Mathematical Sciences, 2013, 7(1): 12-25 International Journal of Modern Mathematical Sciences Journal homepage:www.modernscientificpress.com/journals/ijmms.aspx

More information

SIGNAL MODEL AND PARAMETER ESTIMATION FOR COLOCATED MIMO RADAR

SIGNAL MODEL AND PARAMETER ESTIMATION FOR COLOCATED MIMO RADAR SIGNAL MODEL AND PARAMETER ESTIMATION FOR COLOCATED MIMO RADAR Moein Ahmadi*, Kamal Mohamed-pour K.N. Toosi University of Technology, Iran.*moein@ee.kntu.ac.ir, kmpour@kntu.ac.ir Keywords: Multiple-input

More information

The Daubechies wavelet transform. 3 The computational cost of the wavelet transform

The Daubechies wavelet transform. 3 The computational cost of the wavelet transform Page 1 of 8 The Daubechies wavelet transform Kristian Sandberg Dept. of Applied Mathematics University of Colorado at Boulder 1 Goal The goal with this lab is to design a Daubechies wavelet transform and

More information

Construction Character Table of the Symmetric Group S 4 by Using Permutation Module

Construction Character Table of the Symmetric Group S 4 by Using Permutation Module Journal of KerbalaUniversity, Vol. No. Scientific. 0 Construction Character Table of the Symmetric Group S by Using Permutation Module Assi-lecture Bassim Kareem Mihsin, Assi-Lecture Haider Baker Ameen,

More information

Realizing Strategies for winning games. Senior Project Presented by Tiffany Johnson Math 498 Fall 1999

Realizing Strategies for winning games. Senior Project Presented by Tiffany Johnson Math 498 Fall 1999 Realizing Strategies for winning games Senior Project Presented by Tiffany Johnson Math 498 Fall 1999 Outline of Project Briefly show how math relates to popular board games in playing surfaces & strategies

More information

Commuting Graphs on Dihedral Group

Commuting Graphs on Dihedral Group Commuting Graphs on Dihedral Group T. Tamizh Chelvama, K. Selvakumar and S. Raja Department of Mathematics, Manonmanian Sundaranar, University Tirunelveli 67 01, Tamil Nadu, India Tamche_ 59@yahoo.co.in,

More information

If a word starts with a vowel, add yay on to the end of the word, e.g. engineering becomes engineeringyay

If a word starts with a vowel, add yay on to the end of the word, e.g. engineering becomes engineeringyay ENGR 102-213 - Socolofsky Engineering Lab I - Computation Lab Assignment #07b Working with Array-Like Data Date : due 10/15/2018 at 12:40 p.m. Return your solution (one per group) as outlined in the activities

More information

INFLUENCE OF ENTRIES IN CRITICAL SETS OF ROOM SQUARES

INFLUENCE OF ENTRIES IN CRITICAL SETS OF ROOM SQUARES INFLUENCE OF ENTRIES IN CRITICAL SETS OF ROOM SQUARES Ghulam Chaudhry and Jennifer Seberry School of IT and Computer Science, The University of Wollongong, Wollongong, NSW 2522, AUSTRALIA We establish

More information

Math 10C Chapter 3 Factors and Products Review Notes

Math 10C Chapter 3 Factors and Products Review Notes Math 10C Chapter Factors and Products Review Notes Prime Factorization Prime Numbers: Numbers that can only be divided by themselves and 1. The first few prime numbers:,, 5,, 11, 1, 1, 19,, 9. Prime Factorization:

More information

BUILDING A SIMPLEX TABLEAU AND PROPER PIVOT SELECTION

BUILDING A SIMPLEX TABLEAU AND PROPER PIVOT SELECTION SECTION 4.1: BUILDING A SIMPLEX TABLEAU AND PROPER PIVOT SELECTION Maximize : 15x + 25y + 18 z s. t. 2x+ 3y+ 4z 60 4x+ 4y+ 2z 100 8x+ 5y 80 x 0, y 0, z 0 a) Build Equations out of each of the constraints

More information

Math 259 Winter Recitation Handout 6: Limits in Two Dimensions

Math 259 Winter Recitation Handout 6: Limits in Two Dimensions Math 259 Winter 2009 Recitation Handout 6: its in Two Dimensions As we have discussed in lecture, investigating the behavior of functions with two variables, f(x, y), can be more difficult than functions

More information

37 Game Theory. Bebe b1 b2 b3. a Abe a a A Two-Person Zero-Sum Game

37 Game Theory. Bebe b1 b2 b3. a Abe a a A Two-Person Zero-Sum Game 37 Game Theory Game theory is one of the most interesting topics of discrete mathematics. The principal theorem of game theory is sublime and wonderful. We will merely assume this theorem and use it to

More information

LIST OF PUBLICATIONS. Benedict H. Gross

LIST OF PUBLICATIONS. Benedict H. Gross LIST OF PUBLICATIONS Benedict H. Gross 1. Intersection Triangles of Steiner Systems, Math. Z. 139 (1974), 87-104. 2. Arithmetic on Elliptic Curves with Complex Multiplication, Thesis, Harvard University,

More information

MULTI-VARIABLE OPTIMIZATION NOTES. 1. Identifying Critical Points

MULTI-VARIABLE OPTIMIZATION NOTES. 1. Identifying Critical Points MULTI-VARIABLE OPTIMIZATION NOTES HARRIS MATH CAMP 2018 1. Identifying Critical Points Definition. Let f : R 2! R. Then f has a local maximum at (x 0,y 0 ) if there exists some disc D around (x 0,y 0 )

More information

Modular arithmetic Math 2320

Modular arithmetic Math 2320 Modular arithmetic Math 220 Fix an integer m 2, called the modulus. For any other integer a, we can use the division algorithm to write a = qm + r. The reduction of a modulo m is the remainder r resulting

More information

Contents Systems of Linear Equations and Determinants

Contents Systems of Linear Equations and Determinants Contents 6. Systems of Linear Equations and Determinants 2 Example 6.9................................. 2 Example 6.10................................ 3 6.5 Determinants................................

More information

GLOSSARY. a * (b * c) = (a * b) * c. A property of operations. An operation * is called associative if:

GLOSSARY. a * (b * c) = (a * b) * c. A property of operations. An operation * is called associative if: Associativity A property of operations. An operation * is called associative if: a * (b * c) = (a * b) * c for every possible a, b, and c. Axiom For Greek geometry, an axiom was a 'self-evident truth'.

More information

ECE411 - Laboratory Exercise #1

ECE411 - Laboratory Exercise #1 ECE411 - Laboratory Exercise #1 Introduction to Matlab/Simulink This laboratory exercise is intended to provide a tutorial introduction to Matlab/Simulink. Simulink is a Matlab toolbox for analysis/simulation

More information

Aesthetically Pleasing Azulejo Patterns

Aesthetically Pleasing Azulejo Patterns Bridges 2009: Mathematics, Music, Art, Architecture, Culture Aesthetically Pleasing Azulejo Patterns Russell Jay Hendel Mathematics Department, Room 312 Towson University 7800 York Road Towson, MD, 21252,

More information

Digital Image Processing. Lecture # 6 Corner Detection & Color Processing

Digital Image Processing. Lecture # 6 Corner Detection & Color Processing Digital Image Processing Lecture # 6 Corner Detection & Color Processing 1 Corners Corners (interest points) Unlike edges, corners (patches of pixels surrounding the corner) do not necessarily correspond

More information

Lecture 2.3: Symmetric and alternating groups

Lecture 2.3: Symmetric and alternating groups Lecture 2.3: Symmetric and alternating groups Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 4120, Modern Algebra M. Macauley (Clemson)

More information

Introduction to Wavelet Transform. Chapter 7 Instructor: Hossein Pourghassem

Introduction to Wavelet Transform. Chapter 7 Instructor: Hossein Pourghassem Introduction to Wavelet Transform Chapter 7 Instructor: Hossein Pourghassem Introduction Most of the signals in practice, are TIME-DOMAIN signals in their raw format. It means that measured signal is a

More information

Chapter 8. Lesson a. (2x+3)(x+2) b. (2x+1)(3x+2) c. no solution d. (2x+y)(y+3) ; Conclusion. Not every expression can be factored.

Chapter 8. Lesson a. (2x+3)(x+2) b. (2x+1)(3x+2) c. no solution d. (2x+y)(y+3) ; Conclusion. Not every expression can be factored. Chapter 8 Lesson 8.1.1 8-1. a. (x+4)(y+x+) = xy+x +6x+4y+8 b. 18x +9x 8-. a. (x+3)(x+) b. (x+1)(3x+) c. no solution d. (x+y)(y+3) ; Conclusion. Not every expression can be factored. 8-3. a. (3x+1)(x+5)=6x

More information

CARD GAMES AND CRYSTALS

CARD GAMES AND CRYSTALS CARD GAMES AND CRYSTALS This is the extended version of a talk I gave at KIDDIE (graduate student colloquium) in April 2011. I wish I could give this version, but there wasn t enough time, so I left out

More information

COMBINATORICS ON BIGRASSMANNIAN PERMUTATIONS AND ESSENTIAL SETS

COMBINATORICS ON BIGRASSMANNIAN PERMUTATIONS AND ESSENTIAL SETS COMBINATORICS ON BIGRASSMANNIAN PERMUTATIONS AND ESSENTIAL SETS MASATO KOBAYASHI Contents 1. Symmetric groups 2 Introduction 2 S n as a Coxeter group 3 Bigrassmannian permutations? 4 Bigrassmannian statistics

More information

Thank you! Estimation + Information Theory. ELEC 3004: Systems 1 June

Thank you! Estimation + Information Theory.   ELEC 3004: Systems 1 June http://elec3004.org Estimation + Information Theory 2014 School of Information Technology and Electrical Engineering at The University of Queensland Thank you! ELEC 3004: Systems 1 June 2015 2 1 Schedule

More information

Chapter 1. The alternating groups. 1.1 Introduction. 1.2 Permutations

Chapter 1. The alternating groups. 1.1 Introduction. 1.2 Permutations Chapter 1 The alternating groups 1.1 Introduction The most familiar of the finite (non-abelian) simple groups are the alternating groups A n, which are subgroups of index 2 in the symmetric groups S n.

More information

A CLASSIFICATION OF QUADRATIC ROOK POLYNOMIALS

A CLASSIFICATION OF QUADRATIC ROOK POLYNOMIALS A CLASSIFICATION OF QUADRATIC ROOK POLYNOMIALS Alicia Velek Samantha Tabackin York College of Pennsylvania Advisor: Fred Butler TOPICS TO BE DISCUSSED Rook Theory and relevant definitions General examples

More information

An improved strategy for solving Sudoku by sparse optimization methods

An improved strategy for solving Sudoku by sparse optimization methods An improved strategy for solving Sudoku by sparse optimization methods Yuchao Tang, Zhenggang Wu 2, Chuanxi Zhu. Department of Mathematics, Nanchang University, Nanchang 33003, P.R. China 2. School of

More information

Math 32, October 22 & 27: Maxima & Minima

Math 32, October 22 & 27: Maxima & Minima Math 32, October 22 & 27: Maxima & Minima Section 1: Critical Points Just as in the single variable case, for multivariate functions we are often interested in determining extreme values of the function.

More information

1.6 Congruence Modulo m

1.6 Congruence Modulo m 1.6 Congruence Modulo m 47 5. Let a, b 2 N and p be a prime. Prove for all natural numbers n 1, if p n (ab) and p - a, then p n b. 6. In the proof of Theorem 1.5.6 it was stated that if n is a prime number

More information

The Classification of Quadratic Rook Polynomials of a Generalized Three Dimensional Board

The Classification of Quadratic Rook Polynomials of a Generalized Three Dimensional Board Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 13, Number 3 (2017), pp. 1091-1101 Research India Publications http://www.ripublication.com The Classification of Quadratic Rook Polynomials

More information

Cardinality. Hebrew alphabet). We write S = ℵ 0 and say that S has cardinality aleph null.

Cardinality. Hebrew alphabet). We write S = ℵ 0 and say that S has cardinality aleph null. Section 2.5 1 Cardinality Definition: The cardinality of a set A is equal to the cardinality of a set B, denoted A = B, if and only if there is a one-to-one correspondence (i.e., a bijection) from A to

More information

Embedded Orthogonal Space-Time Codes for High Rate and Low Decoding Complexity

Embedded Orthogonal Space-Time Codes for High Rate and Low Decoding Complexity Embedded Orthogonal Space-Time Codes for High Rate and Low Decoding Complexity Mohanned O. Sinnokrot, John R. Barry and Vijay K. Madisetti eorgia Institute of Technology, Atlanta, A 3033 USA, {sinnokrot,

More information

A Novel Adaptive Method For The Blind Channel Estimation And Equalization Via Sub Space Method

A Novel Adaptive Method For The Blind Channel Estimation And Equalization Via Sub Space Method A Novel Adaptive Method For The Blind Channel Estimation And Equalization Via Sub Space Method Pradyumna Ku. Mohapatra 1, Pravat Ku.Dash 2, Jyoti Prakash Swain 3, Jibanananda Mishra 4 1,2,4 Asst.Prof.Orissa

More information

Working with Formulas and Functions

Working with Formulas and Functions Working with Formulas and Functions Objectives Create a complex formula Insert a function Type a function Copy and move cell entries Understand relative and absolute cell references Objectives Copy formulas

More information

Minimal generating sets of Weierstrass semigroups of certain m-tuples on the norm-trace function field

Minimal generating sets of Weierstrass semigroups of certain m-tuples on the norm-trace function field Minimal generating sets of Weierstrass semigroups of certain m-tuples on the norm-trace function field Gretchen L. Matthews and Justin D. Peachey Abstract. The norm-trace function field is a generalization

More information

THE REMOTENESS OF THE PERMUTATION CODE OF THE GROUP U 6n. Communicated by S. Alikhani

THE REMOTENESS OF THE PERMUTATION CODE OF THE GROUP U 6n. Communicated by S. Alikhani Algebraic Structures and Their Applications Vol 3 No 2 ( 2016 ) pp 71-79 THE REMOTENESS OF THE PERMUTATION CODE OF THE GROUP U 6n MASOOMEH YAZDANI-MOGHADDAM AND REZA KAHKESHANI Communicated by S Alikhani

More information

The two generator restricted Burnside group of exponent five

The two generator restricted Burnside group of exponent five BULL. AUSTRAL. MATH. SOC. 20-04, '20DI5, 20F40 VOL. 10 (1974), 459-470. The two generator restricted Burnside group of exponent five George Havas, G.E. Wall, and J.W. Wamsley The two generator restricted

More information

FREDRIK TUFVESSON ELECTRICAL AND INFORMATION TECHNOLOGY

FREDRIK TUFVESSON ELECTRICAL AND INFORMATION TECHNOLOGY 1 Information Transmission Chapter 5, Block codes FREDRIK TUFVESSON ELECTRICAL AND INFORMATION TECHNOLOGY 2 Methods of channel coding For channel coding (error correction) we have two main classes of codes,

More information

Minimum Zero-Centre-Pandiagonal Composite Type II (a) Magic Squares over Multi Set of Integer Numbers as a Semiring

Minimum Zero-Centre-Pandiagonal Composite Type II (a) Magic Squares over Multi Set of Integer Numbers as a Semiring Minimum Zero-Centre-Pandiagonal Composite Type II (a) Magic Squares over Multi Set of Integer Numbers as a Semiring Babayo A.M. 1, Moharram Ali Khan 2 1. Department of Mathematics and Computer Science,

More information

CHARACTERIZATION OF RINGS USING QUASIPROJECTIVE MODULES. II

CHARACTERIZATION OF RINGS USING QUASIPROJECTIVE MODULES. II PROCEEDINGS OF THE AMERICAN MATHEMATICAL Volume 28, Number 2, May 1971 SOCIETY CHARACTERIZATION OF RINGS USING QUASIPROJECTIVE MODULES. II JONATHAN S. GOLAN1 Abstract. Semiperfect rings, semihereditary

More information

Game Theory. Chapter 2 Solution Methods for Matrix Games. Instructor: Chih-Wen Chang. Chih-Wen NCKU. Game Theory, Ch2 1

Game Theory. Chapter 2 Solution Methods for Matrix Games. Instructor: Chih-Wen Chang. Chih-Wen NCKU. Game Theory, Ch2 1 Game Theory Chapter 2 Solution Methods for Matrix Games Instructor: Chih-Wen Chang Chih-Wen Chang @ NCKU Game Theory, Ch2 1 Contents 2.1 Solution of some special games 2.2 Invertible matrix games 2.3 Symmetric

More information

MULTIPATH fading could severely degrade the performance

MULTIPATH fading could severely degrade the performance 1986 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 53, NO. 12, DECEMBER 2005 Rate-One Space Time Block Codes With Full Diversity Liang Xian and Huaping Liu, Member, IEEE Abstract Orthogonal space time block

More information

A FAMILY OF t-regular SELF-COMPLEMENTARY k-hypergraphs. Communicated by Behruz Tayfeh Rezaie. 1. Introduction

A FAMILY OF t-regular SELF-COMPLEMENTARY k-hypergraphs. Communicated by Behruz Tayfeh Rezaie. 1. Introduction Transactions on Combinatorics ISSN (print): 2251-8657, ISSN (on-line): 2251-8665 Vol. 6 No. 1 (2017), pp. 39-46. c 2017 University of Isfahan www.combinatorics.ir www.ui.ac.ir A FAMILY OF t-regular SELF-COMPLEMENTARY

More information

X = {1, 2,...,n} n 1f 2f 3f... nf

X = {1, 2,...,n} n 1f 2f 3f... nf Section 11 Permutations Definition 11.1 Let X be a non-empty set. A bijective function f : X X will be called a permutation of X. Consider the case when X is the finite set with n elements: X {1, 2,...,n}.

More information

ELEMENTS OF NUMBER THEORY & CONGRUENCES. Lagrange, Legendre and Gauss. Mth Mathematicst

ELEMENTS OF NUMBER THEORY & CONGRUENCES. Lagrange, Legendre and Gauss. Mth Mathematicst ELEMENTS OF NUMBER THEORY & CONGRUENCES Lagrange, Legendre and Gauss ELEMENTS OF NUMBER THEORY & CONGRUENCES 1) If a 0, b 0 Z and a/b, b/a then 1) a=b 2) a=1 3) b=1 4) a=±b Ans : is 4 known result. If

More information

Efficient Target Detection from Hyperspectral Images Based On Removal of Signal Independent and Signal Dependent Noise

Efficient Target Detection from Hyperspectral Images Based On Removal of Signal Independent and Signal Dependent Noise IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 9, Issue 6, Ver. III (Nov - Dec. 2014), PP 45-49 Efficient Target Detection from Hyperspectral

More information

Periodic Complementary Sets of Binary Sequences

Periodic Complementary Sets of Binary Sequences International Mathematical Forum, 4, 2009, no. 15, 717-725 Periodic Complementary Sets of Binary Sequences Dragomir Ž. D oković 1 Department of Pure Mathematics, University of Waterloo Waterloo, Ontario,

More information

Basic Signals and Systems

Basic Signals and Systems Chapter 2 Basic Signals and Systems A large part of this chapter is taken from: C.S. Burrus, J.H. McClellan, A.V. Oppenheim, T.W. Parks, R.W. Schafer, and H. W. Schüssler: Computer-based exercises for

More information

Permutation Groups. Definition and Notation

Permutation Groups. Definition and Notation 5 Permutation Groups Wigner s discovery about the electron permutation group was just the beginning. He and others found many similar applications and nowadays group theoretical methods especially those

More information

Two Great Escapes. Jerry Lo, Grade 8 student, Affiliated High School of the Taiwan National Normal University. The Great Amoeba Escape

Two Great Escapes. Jerry Lo, Grade 8 student, Affiliated High School of the Taiwan National Normal University. The Great Amoeba Escape Two Great Escapes Jerry Lo, Grade student, Affiliated High School of the Taiwan National Normal University The Great Amoeba Escape The world of the amoeba consists of the first quadrant of the plane divided

More information

CSE548, AMS542: Analysis of Algorithms, Fall 2016 Date: Sep 25. Homework #1. ( Due: Oct 10 ) Figure 1: The laser game.

CSE548, AMS542: Analysis of Algorithms, Fall 2016 Date: Sep 25. Homework #1. ( Due: Oct 10 ) Figure 1: The laser game. CSE548, AMS542: Analysis of Algorithms, Fall 2016 Date: Sep 25 Homework #1 ( Due: Oct 10 ) Figure 1: The laser game. Task 1. [ 60 Points ] Laser Game Consider the following game played on an n n board,

More information

MULTIPLE-MODEL DEAD-BEAT CONTROLLER IN CASE OF CONTROL SIGNAL CONSTRAINTS

MULTIPLE-MODEL DEAD-BEAT CONTROLLER IN CASE OF CONTROL SIGNAL CONSTRAINTS MULTIPLE-MODEL DEAD-BEAT CONTROLLER IN CASE OF CONTROL SIGNAL CONSTRAINTS Emil Garipov Teodor Stoilkov Technical University of Sofia 1 Sofia Bulgaria emgar@tu-sofiabg teodorstoilkov@syscontcom Ivan Kalaykov

More information

On the isomorphism problem of Coxeter groups and related topics

On the isomorphism problem of Coxeter groups and related topics On the isomorphism problem of Coxeter groups and related topics Koji Nuida 1 Graduate School of Mathematical Sciences, University of Tokyo E-mail: nuida@ms.u-tokyo.ac.jp At the conference the author gives

More information

Digital Video and Audio Processing. Winter term 2002/ 2003 Computer-based exercises

Digital Video and Audio Processing. Winter term 2002/ 2003 Computer-based exercises Digital Video and Audio Processing Winter term 2002/ 2003 Computer-based exercises Rudolf Mester Institut für Angewandte Physik Johann Wolfgang Goethe-Universität Frankfurt am Main 6th November 2002 Chapter

More information

Chapter 2: Signal Representation

Chapter 2: Signal Representation Chapter 2: Signal Representation Aveek Dutta Assistant Professor Department of Electrical and Computer Engineering University at Albany Spring 2018 Images and equations adopted from: Digital Communications

More information

You ve seen them played in coffee shops, on planes, and

You ve seen them played in coffee shops, on planes, and Every Sudoku variation you can think of comes with its own set of interesting open questions There is math to be had here. So get working! Taking Sudoku Seriously Laura Taalman James Madison University

More information

Evacuation and a Geometric Construction for Fibonacci Tableaux

Evacuation and a Geometric Construction for Fibonacci Tableaux Evacuation and a Geometric Construction for Fibonacci Tableaux Kendra Killpatrick Pepperdine University 24255 Pacific Coast Highway Malibu, CA 90263-4321 Kendra.Killpatrick@pepperdine.edu August 25, 2004

More information

Magic Squares. Lia Malato Leite Victoria Jacquemin Noemie Boillot

Magic Squares. Lia Malato Leite Victoria Jacquemin Noemie Boillot Magic Squares Lia Malato Leite Victoria Jacquemin Noemie Boillot Experimental Mathematics University of Luxembourg Faculty of Sciences, Tecnology and Communication 2nd Semester 2015/2016 Table des matières

More information

ORTHOGONAL space time block codes (OSTBC) from

ORTHOGONAL space time block codes (OSTBC) from 1104 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 55, NO. 3, MARCH 2009 On Optimal Quasi-Orthogonal Space Time Block Codes With Minimum Decoding Complexity Haiquan Wang, Member, IEEE, Dong Wang, Member,

More information

Latin Squares for Elementary and Middle Grades

Latin Squares for Elementary and Middle Grades Latin Squares for Elementary and Middle Grades Yul Inn Fun Math Club email: Yul.Inn@FunMathClub.com web: www.funmathclub.com Abstract: A Latin square is a simple combinatorial object that arises in many

More information

A Signal Space Theory of Interferences Cancellation Systems

A Signal Space Theory of Interferences Cancellation Systems A Signal Space Theory of Interferences Cancellation Systems Osamu Ichiyoshi Human Network for Better 21 Century E-mail: osamu-ichiyoshi@muf.biglobe.ne.jp Abstract Interferences among signals from different

More information

International Journal of Digital Application & Contemporary research Website: (Volume 1, Issue 7, February 2013)

International Journal of Digital Application & Contemporary research Website:   (Volume 1, Issue 7, February 2013) Performance Analysis of OFDM under DWT, DCT based Image Processing Anshul Soni soni.anshulec14@gmail.com Ashok Chandra Tiwari Abstract In this paper, the performance of conventional discrete cosine transform

More information

#A3 INTEGERS 17 (2017) A NEW CONSTRAINT ON PERFECT CUBOIDS. Thomas A. Plick

#A3 INTEGERS 17 (2017) A NEW CONSTRAINT ON PERFECT CUBOIDS. Thomas A. Plick #A3 INTEGERS 17 (2017) A NEW CONSTRAINT ON PERFECT CUBOIDS Thomas A. Plick tomplick@gmail.com Received: 10/5/14, Revised: 9/17/16, Accepted: 1/23/17, Published: 2/13/17 Abstract We show that out of the

More information

STRATEGY AND COMPLEXITY OF THE GAME OF SQUARES

STRATEGY AND COMPLEXITY OF THE GAME OF SQUARES STRATEGY AND COMPLEXITY OF THE GAME OF SQUARES FLORIAN BREUER and JOHN MICHAEL ROBSON Abstract We introduce a game called Squares where the single player is presented with a pattern of black and white

More information

Computer Science Engineering Course Code : 311

Computer Science Engineering Course Code : 311 Computer Science & Engineering 1 Vocational Practical Question Bank First & Second Year Computer Science Engineering Course Code : 311 State Institute of Vocational Education O/o the Commissioner of Intermediate

More information

RLC Frequency Response

RLC Frequency Response 1. Introduction RLC Frequency Response The student will analyze the frequency response of an RLC circuit excited by a sinusoid. Amplitude and phase shift of circuit components will be analyzed at different

More information

132-avoiding Two-stack Sortable Permutations, Fibonacci Numbers, and Pell Numbers

132-avoiding Two-stack Sortable Permutations, Fibonacci Numbers, and Pell Numbers 132-avoiding Two-stack Sortable Permutations, Fibonacci Numbers, and Pell Numbers arxiv:math/0205206v1 [math.co] 19 May 2002 Eric S. Egge Department of Mathematics Gettysburg College Gettysburg, PA 17325

More information

Square & Square Roots

Square & Square Roots Square & Square Roots 1. If a natural number m can be expressed as n², where n is also a natural number, then m is a square number. 2. All square numbers end with, 1, 4, 5, 6 or 9 at unit s place. All

More information

Determinants, Part 1

Determinants, Part 1 Determinants, Part We shall start with some redundant definitions. Definition. Given a matrix A [ a] we say that determinant of A is det A a. Definition 2. Given a matrix a a a 2 A we say that determinant

More information

Acentral problem in the design of wireless networks is how

Acentral problem in the design of wireless networks is how 1968 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 45, NO. 6, SEPTEMBER 1999 Optimal Sequences, Power Control, and User Capacity of Synchronous CDMA Systems with Linear MMSE Multiuser Receivers Pramod

More information

Corners in Tree Like Tableaux

Corners in Tree Like Tableaux Corners in Tree Like Tableaux Pawe l Hitczenko Department of Mathematics Drexel University Philadelphia, PA, U.S.A. phitczenko@math.drexel.edu Amanda Lohss Department of Mathematics Drexel University Philadelphia,

More information

Expansion/Analysis of a Card Trick Comprised of Transformations in 2-Dimensional Matrices Aaron Kazam Sherbany, Clarkstown North High School, NY

Expansion/Analysis of a Card Trick Comprised of Transformations in 2-Dimensional Matrices Aaron Kazam Sherbany, Clarkstown North High School, NY Expansion/Analysis of a Card Trick Comprised of Transformations in 2-Dimensional Matrices Aaron Kazam Sherbany, Clarkstown North High School, NY This paper illustrates the properties of a card trick which

More information

Title: Quadrilaterals Aren t Just Squares

Title: Quadrilaterals Aren t Just Squares Title: Quadrilaterals ren t Just Squares Brief Overview: This is a collection of the first three lessons in a series of seven lessons studying characteristics of quadrilaterals, including trapezoids, parallelograms,

More information

The Fano Plane as an Octonionic Multiplication Table

The Fano Plane as an Octonionic Multiplication Table The Fano Plane as an Octonionic Multiplication Table Peter Killgore June 9, 2014 1 Introduction When considering finite geometries, an obvious question to ask is what applications such geometries have.

More information