A PARTIAL CHARACTERIZATION OF THE COCIRCUITS OF A SPLITTING MATROID

Size: px
Start display at page:

Download "A PARTIAL CHARACTERIZATION OF THE COCIRCUITS OF A SPLITTING MATROID"

Transcription

1 DEPARTMENT OF MATHEMATICS TECHNICAL REPORT A PARTIAL CHARACTERIZATION OF THE COCIRCUITS OF A SPLITTING MATROID DR. ALLAN D. MILLS MAY 2004 No TENNESSEE TECHNOLOGICAL UNIVERSITY Cookeville, TN 38505

2 A PARTIAL CHARACTERIZATION OF THE COCIRCUITS OF A SPLITTING MATROID ALLAN D. MILLS Abstract. This paper describes some of the cocircuits of a splitting matroid M, in terms of the cocircuits of the original matroid M. 1. Introduction The matroid notation and terminolog used here will follow Ole [2]. In particular, the ground set and the collections of independent sets, bases, and circuits of a matroid M will be denoted b E(M), I(M), B(M), and C(M), respectivel. The fundamental circuit of an element e with respect to the basis B (see [2, p. 18]) will be denoted b C(e, B). Fleischner [1] introduced the idea of splitting a verte of degree at least three in a connected graph and used the operation to characterize Eulerian graphs. For eample, the graph G, in Figure 1 is obtained from G b splitting awa the edges and from the verte v. Raghunathan, Shikare, and Waphare [3] etended the splitting operation from graphs to binar matroids. One of their results [3, Theorem 2.2] can be used to define the splitting operation in a binar matroid in terms of circuits. Definition 1.1. Let M be a binar matroid and suppose, E(M). The splitting matroid M, is the matroid having collection of circuits C(M, )= C 0 C 1 where C 0 = {C C(M), C or, C}; and C 1 = {C 1 C 2 C 1,C 2 C(M),C 1 C 2 =, C 1, C 2 ; and there is no C C 0 such that C C 1 C 2 }. The net result, due to Shikare and Asadi [4], characterizes the bases of a splitting matroid M, in terms of the bases of the original matroid M. Lemma 1.2. Let M be a binar matroid and suppose, E(M). Then B(M, )={B {α} B B(M), α E B and the unique circuit contained in B α contains either or }. The results in the net section describe some of the cocircuits of M, in terms of the cocircuits of M. Recall that the cocircuits of a matroid M 1991 Mathematics Subject Classification. 05B35. 1

3 2 ALLAN D. MILLS v G G, Figure 1. The graph G, is obtained b splitting verte v of G. are the minimal sets having non-empt intersection with ever basis of M. In addition, the basic fact that if C is a circuit and C is a cocircuit of a matroid M, then C C = 1 will be helpful in the proofs. 2. Cocircuits of a Splitting Matroid It follows from Definition 1.1 that if ever circuit of M contains both and, or neither, then C(M, )=C 0 = C(M) and M, = M. The fact that M, M onl if there is a circuit of M containing eactl one of and is the basis of the net two results. Proposition 2.1. If {, } is a cocircuit of M or if {} and {} are cocircuits of M, then M = M,. Proof. In both cases there is no circuit of M containing eactl one of and. Hence M = M,. Proposition 2.2. If eactl one of {, } is a cocircuit of M, then and are cocircuits of M,. Proof. Suppose is a cocircuit of M and is not. Then is in a circuit of M that does not contain. The circuits of M, either contain both and or contain neither nor. Since is in no circuits of M, it follows from the definition of C(M, ) that is in no circuits of M,. Thus is in no circuits of M, and we conclude that is a cocircuit of M,. The previous two results concerned cases in which the set {, } contained a cocircuit of M. The main result of this paper, Theorem 2.4, concerns the case in which {, } is proper subset of a cocircuit of M. Before stating the main result, we first prove the following technical lemma.

4 3 Lemma 2.3. Suppose C is a cocircuit of M and {, } C. Then there eist bases B 1 and B 2 of M such that B 1 (C {, }) = and B 2 (C {, }) = where {, } B 1 = {} and {, } B 2 = {}. Proof. Suppose C is a cocircuit of M and {, } C. It follows from the minimalit of C that there is a basis B of M so that B (C {, }) =. Now suppose ever basis of M having empt intersection with C {, } contains. Then C contains a cocircuit of M; a contradiction. Similarl, if each basis of M having empt intersection with C {, } contains, then C contains a cocircuit of M; a contradiction. We conclude that the lemma holds. Theorem 2.4. Let M, be a splitting matroid obtained from M so that M M,. Suppose {, } is a proper subset of a cocircuit C of M. Then {, } and C {, } are cocircuits of M,. Proof of Theorem 2.4. Suppose {, } is a proper subset of a cocircuit C of M. We first show that {, } is a cocircuit of M,. Since B(M, )={B α B B(M) and C(α, B) contains eactl one of and }, it is clear that {, } has non-empt intersection with each basis of M,. Lemma 2.3 implies that there is a basis B of M so that B, B and B (C {, }) =. Let z C {, }. If C(z,B), then C(z,B) C =1; a contradiction. Then C(z,B), and since C(z,B), it follows that B z is a basis of M,. Moreover, as B z, the set {} is not a cocircuit of M,. Similarl, {} is not a cocircuit of M,. Since {, } is a minimal set having non-empt intersection with each basis of M,, the set {, } is a cocircuit of M,. We now show that the set C {, } has non-empt intersection with each basis of M,. Let B α be an arbitrar basis of M,. If B (C {, }), then clearl (B α) (C {, }). So we ma assume B is a basis of M so that B (C {, }) =. We complete this part of the proof b analzing two cases. First, suppose, B. Now B I(M, ) and B <r(m, )r(m) + 1. So B is a proper subset of a basis B 1 α 1 of M,. Since B 1 α 1 = B α for some α in B 1 B, we ma assume B is a proper subset of the basis B α of M,. Suppose α E(M) (B C ). Then as B α is a basis of M,, the fundamental circuit C(α, B) inm must contain eactl one of and. This implies C(α, B) C = 1; a contradiction. We conclude that α C {, }. Hence (B α) (C {, }) Now suppose B and B. Since B I(M, ) and B <r(m, )= r(m) + 1, there eists α in E(M) B so that B α B(M, ). If C(, B) does not contain, then C(, B) C = 1; a contradiction. Thus C(, B) contains both and. It follows that B B(M, ). Similarl, if α E(M) (B C ), and C(α, B), then C(α, B) C = 1; a contradiction.

5 4 ALLAN D. MILLS So C(α, B) contains neither nor and it follows that B α B(M, ). We conclude that α C {, }. Hence (B α) (C {, }). Therefore each basis of M, must have non-empt intersection with C {, }. We now show that C {, } is a minimal set having non-empt intersection with all bases of M,. Let B be a basis of M so that B, B, and B (C {, }) =. Let z C {, }. If C(z,B) does not contain, then C(z,B) C = 1; a contradiction. Thus C(z,B). Moreover, C(z,B) and it follows that B z B(M, ). Since for all z C {, }, the set B z is a basis of M,, the set C {, } is minimal having non-empt intersection with each basis of M,. We conclude that C {, } is a cocircuit of M,. a d a d b e b e c f c f M(G) M(G(G, ) Figure 2. The matroids M(G) and M(G, ). Theorem 2.4 establishes that if C is a cocircuit of M containing {, }, then C {, } is a cocircuit of M,. We define a Tpe I set of a matroid M to be a set C {, } where C is a cocircuit of M that properl contains {, }. The net table lists the collections of cocircuits of the matroids M and M, shown in Figure 2.

6 5 Cocircuits of M Tpe I sets Cocircuits of M, {d, f} {b} {d, f} {a, b, c} {a, c} {b} {b,, } {a, c} {a,,,c} {, } {c,, e, f} {a,, e, d} {c,, e, d} {a,, e, d} {a,, e, d} {a,, e, f} {a,, e, f} {a,, e, f} {b,, e, d, c} {c,, e, d} {b,, e, f, c} {c,, e, d} {a, b,, e, f} {c,, e, f} {a, b,, e, d} {c,, e, f} Notice that the cocircuits of M, are {, }, the Tpe I sets of M, the sets D X for each cocircuit D of M containing a Tpe I set X, and the cocircuits of M that do not contain a Tpe I set. The following conjecture proposes that this relationship holds in general. Conjecture 2.5. Suppose the splitting matroid M, is obtained from M and {, } is a proper subset of a cocircuit of M. Then {, } C C {, } for each cocircuit C of M properl containing {, } (M, )= D X for each cocircuit D of M containing a Tpe I set X C of M such that C does not contain a Tpe I set acknowledgement This work was partiall supported b a T.T.U. Facult Research Grant. References [1] Fleischner, H., Eulerian Graphs. In Selected Topics in Graph Theor 2 (eds. L.W. Beineke, R.J. Wilson), pp Academic Press, London, [2] Ole, J. G., Matroid Theor, Oford Universit Press, New York, [3] Raghunathan, T. T., Shikare, M. M., and Waphare, B. N., Splitting in a binar matroid, Discrete Mathematics 184 (1998), [4] Shikare, M. M., and Asadi, Ghodratollah, Determination of the bases of a splitting matroid, European Journal of Combinatorics 24 (2003), Mathematics Department, Tennessee Tech. Universit, Cookeville, TN address: amills@tntech.edu

Regular matroids without disjoint circuits

Regular matroids without disjoint circuits Regular matroids without disjoint circuits Suohai Fan, Hong-Jian Lai, Yehong Shao, Hehui Wu and Ju Zhou June 29, 2006 Abstract A cosimple regular matroid M does not have disjoint circuits if and only if

More information

Determining a Binary Matroid from its Small Circuits

Determining a Binary Matroid from its Small Circuits Determining a Binary Matroid from its Small Circuits James Oxley Department of Mathematics Louisiana State University Louisiana, USA oxley@math.lsu.edu Charles Semple School of Mathematics and Statistics

More information

Constant 2-labelling of a graph

Constant 2-labelling of a graph Constant 2-labelling of a graph S. Gravier, and E. Vandomme June 18, 2012 Abstract We introduce the concept of constant 2-labelling of a graph and show how it can be used to obtain periodic sphere packing.

More information

arxiv: v1 [math.co] 19 Oct 2018

arxiv: v1 [math.co] 19 Oct 2018 On the structure of spikes arxiv:1810.08416v1 [math.co] 19 Oct 2018 Abstract Vahid Ghorbani, Ghodratollah Azadi and Habib Azanchiler Department of mathematics, University of Urmia, Iran Spikes are an important

More information

Section 3.1. ; X = (0, 1]. (i) f : R R R, f (x, y) = x y

Section 3.1. ; X = (0, 1]. (i) f : R R R, f (x, y) = x y Paul J. Bruillard MATH 0.970 Problem Set 6 An Introduction to Abstract Mathematics R. Bond and W. Keane Section 3.1: 3b,c,e,i, 4bd, 6, 9, 15, 16, 18c,e, 19a, 0, 1b Section 3.: 1f,i, e, 6, 1e,f,h, 13e,

More information

On Range and Reflecting Functions About the Line y = mx

On Range and Reflecting Functions About the Line y = mx On Range and Reflecting Functions About the Line = m Scott J. Beslin Brian K. Heck Jerem J. Becnel Dept.of Mathematics and Dept. of Mathematics and Dept. of Mathematics and Computer Science Computer Science

More information

Decision tables and decision spaces

Decision tables and decision spaces Abstract Decision tables and decision spaces Z. Pawlak 1 Abstract. In this paper an Euclidean space, called a decision space is associated with ever decision table. This can be viewed as a generalization

More information

Tensor products in Riesz space theory

Tensor products in Riesz space theory Tensor products in Riesz space theor Jan van Waaij Master thesis defended on Jul 16, 2013 Thesis advisors dr. O.W. van Gaans dr. M.F.E. de Jeu Mathematical Institute, Universit of Leiden CONTENTS 2 Contents

More information

8. BOOLEAN ALGEBRAS x x

8. BOOLEAN ALGEBRAS x x 8. BOOLEAN ALGEBRAS 8.1. Definition of a Boolean Algebra There are man sstems of interest to computing scientists that have a common underling structure. It makes sense to describe such a mathematical

More information

On the intersection of infinite matroids

On the intersection of infinite matroids On the intersection of infinite matroids Elad Aigner-Horev Johannes Carmesin Jan-Oliver Fröhlich University of Hamburg 9 July 2012 Abstract We show that the infinite matroid intersection conjecture of

More information

PERFECT BINARY MATROIDS

PERFECT BINARY MATROIDS DEPARTMENT OF MATHEMATICS TECHNICAL REPORT PERFECT BINARY MATROIDS Allan Mills August 1999 No. 1999-8 TENNESSEE TECHNOLOGICAL UNIVERSITY Cookeville, TN 38505 PERFECT BINARY MATROIDS ALLAN D. MILLS Abstract.

More information

The Steiner Ratio for Obstacle-Avoiding Rectilinear Steiner Trees

The Steiner Ratio for Obstacle-Avoiding Rectilinear Steiner Trees The Steiner Ratio for Obstacle-Avoiding Rectilinear Steiner Trees Anna Lubiw Mina Razaghpour Abstract We consider the problem of finding a shortest rectilinear Steiner tree for a given set of pointn the

More information

Minimal reductions of monomial ideals

Minimal reductions of monomial ideals ISSN: 1401-5617 Minimal reductions of monomial ideals Veronica Crispin Quiñonez Research Reports in Mathematics Number 10, 2004 Department of Mathematics Stocholm Universit Electronic versions of this

More information

Spanning cycles in regular matroids without M (K 5 ) minors

Spanning cycles in regular matroids without M (K 5 ) minors Spanning cycles in regular matroids without M (K 5 ) minors Hong-Jian Lai, Bolian Liu, Yan Liu, Yehong Shao Abstract Catlin and Jaeger proved that the cycle matroid of a 4-edge-connected graph has a spanning

More information

Section 1.5 Formal definitions of limits

Section 1.5 Formal definitions of limits Section.5 Formal definitions of limits (3/908) Overview: The definitions of the various tpes of limits in previous sections involve phrases such as arbitraril close, sufficientl close, arbitraril large,

More information

Flows and Connectivity

Flows and Connectivity Chapter 4 Flows and Connectivit 4. Network Flows Capacit Networks A network N is a connected weighted loopless graph (G,w) with two specified vertices and, called the source and the sink, respectivel,

More information

MAT389 Fall 2016, Problem Set 2

MAT389 Fall 2016, Problem Set 2 MAT389 Fall 2016, Problem Set 2 Circles in the Riemann sphere Recall that the Riemann sphere is defined as the set Let P be the plane defined b Σ = { (a, b, c) R 3 a 2 + b 2 + c 2 = 1 } P = { (a, b, c)

More information

ON SIZE, CIRCUMFERENCE AND CIRCUIT REMOVAL IN 3 CONNECTED MATROIDS

ON SIZE, CIRCUMFERENCE AND CIRCUIT REMOVAL IN 3 CONNECTED MATROIDS ON SIZE, CIRCUMFERENCE AND CIRCUIT REMOVAL IN 3 CONNECTED MATROIDS MANOEL LEMOS AND JAMES OXLEY Abstract. This paper proves several extremal results for 3-connected matroids. In particular, it is shown

More information

Fuzzy Topology On Fuzzy Sets: Regularity and Separation Axioms

Fuzzy Topology On Fuzzy Sets: Regularity and Separation Axioms wwwaasrcorg/aasrj American Academic & Scholarl Research Journal Vol 4, No 2, March 212 Fuzz Topolog n Fuzz Sets: Regularit and Separation Aioms AKandil 1, S Saleh 2 and MM Yakout 3 1 Mathematics Department,

More information

MATROID PACKING AND COVERING WITH CIRCUITS THROUGH AN ELEMENT

MATROID PACKING AND COVERING WITH CIRCUITS THROUGH AN ELEMENT MATROID PACKING AND COVERING WITH CIRCUITS THROUGH AN ELEMENT MANOEL LEMOS AND JAMES OXLEY Abstract. In 1981, Seymour proved a conjecture of Welsh that, in a connected matroid M, the sum of the maximum

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Journal of Inequalities in Pure and Applied Mathematics http://jipam.vu.edu.au/ Volume 2, Issue 2, Article 15, 21 ON SOME FUNDAMENTAL INTEGRAL INEQUALITIES AND THEIR DISCRETE ANALOGUES B.G. PACHPATTE DEPARTMENT

More information

An Introduction of Tutte Polynomial

An Introduction of Tutte Polynomial An Introduction of Tutte Polynomial Bo Lin December 12, 2013 Abstract Tutte polynomial, defined for matroids and graphs, has the important property that any multiplicative graph invariant with a deletion

More information

Associativity of triangular norms in light of web geometry

Associativity of triangular norms in light of web geometry Associativit of triangular norms in light of web geometr Milan Petrík 1,2 Peter Sarkoci 3 1. Institute of Computer Science, Academ of Sciences of the Czech Republic, Prague, Czech Republic 2. Center for

More information

TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS II

TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS II TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS II CAROLYN CHUN, DILLON MAYHEW, AND JAMES OXLEY Abstract. Let M and N be internally 4-connected binary matroids such that M has a proper

More information

You don't have to be a mathematician to have a feel for numbers. John Forbes Nash, Jr.

You don't have to be a mathematician to have a feel for numbers. John Forbes Nash, Jr. Course Title: Real Analsis Course Code: MTH3 Course instructor: Dr. Atiq ur Rehman Class: MSc-II Course URL: www.mathcit.org/atiq/fa5-mth3 You don't have to be a mathematician to have a feel for numbers.

More information

Additional Material On Recursive Sequences

Additional Material On Recursive Sequences Penn State Altoona MATH 141 Additional Material On Recursive Sequences 1. Graphical Analsis Cobweb Diagrams Consider a generic recursive sequence { an+1 = f(a n ), n = 1,, 3,..., = Given initial value.

More information

Generalized Least-Squares Regressions III: Further Theory and Classication

Generalized Least-Squares Regressions III: Further Theory and Classication Generalized Least-Squares Regressions III: Further Theor Classication NATANIEL GREENE Department of Mathematics Computer Science Kingsborough Communit College, CUNY Oriental Boulevard, Brookln, NY UNITED

More information

Math RE - Calculus I Functions Page 1 of 10. Topics of Functions used in Calculus

Math RE - Calculus I Functions Page 1 of 10. Topics of Functions used in Calculus Math 0-03-RE - Calculus I Functions Page of 0 Definition of a function f() : Topics of Functions used in Calculus A function = f() is a relation between variables and such that for ever value onl one value.

More information

Department of Mathematical Sciences Sharif University of Technology p. O. Box Tehran, I.R. Iran

Department of Mathematical Sciences Sharif University of Technology p. O. Box Tehran, I.R. Iran Australasian Journal of Combinatorics.( 1992), pp.279-291 ON THE EXISTENCE OF (v,k,t) TRADES E.S. MAHMOODIAN and NASRIN SOLTANKHAH Department of Mathematical Sciences Sharif Universit of Technolog p. O.

More information

TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS IV

TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS IV TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS IV CAROLYN CHUN, DILLON MAYHEW, AND JAMES OXLEY Abstract. In our quest to find a splitter theorem for internally 4-connected binary

More information

Introduction to Differential Equations. National Chiao Tung University Chun-Jen Tsai 9/14/2011

Introduction to Differential Equations. National Chiao Tung University Chun-Jen Tsai 9/14/2011 Introduction to Differential Equations National Chiao Tung Universit Chun-Jen Tsai 9/14/011 Differential Equations Definition: An equation containing the derivatives of one or more dependent variables,

More information

A Note on Maxflow-Mincut and Homomorphic Equivalence in Matroids

A Note on Maxflow-Mincut and Homomorphic Equivalence in Matroids Journal of Algebraic Combinatorics 12 (2000), 295 300 c 2000 Kluwer Academic Publishers. Manufactured in The Netherlands. A Note on Maxflow-Mincut and Homomorphic Equivalence in Matroids WINFRIED HOCHSTÄTTLER

More information

Cycle Structure in Automata and the Holonomy Decomposition

Cycle Structure in Automata and the Holonomy Decomposition Ccle Structure in Automata and the Holonom Decomposition Attila Egri-Nag and Chrstopher L. Nehaniv School of Computer Science Universit of Hertfordshire College Lane, Hatfield, Herts AL10 9AB United Kingdom

More information

Hamilton Circuits and Dominating Circuits in Regular Matroids

Hamilton Circuits and Dominating Circuits in Regular Matroids Hamilton Circuits and Dominating Circuits in Regular Matroids S. McGuinness Thompson Rivers University June 1, 2012 S. McGuinness (TRU) Hamilton Circuits and Dominating Circuits in Regular Matroids June

More information

Toda s Theorem: PH P #P

Toda s Theorem: PH P #P CS254: Computational Compleit Theor Prof. Luca Trevisan Final Project Ananth Raghunathan 1 Introduction Toda s Theorem: PH P #P The class NP captures the difficult of finding certificates. However, in

More information

1 x

1 x Unit 1. Calculus Topic 4: Increasing and decreasing functions: turning points In topic 4 we continue with straightforward derivatives and integrals: Locate turning points where f () = 0. Determine the

More information

z-axis SUBMITTED BY: Ms. Harjeet Kaur Associate Professor Department of Mathematics PGGCG 11, Chandigarh y-axis x-axis

z-axis SUBMITTED BY: Ms. Harjeet Kaur Associate Professor Department of Mathematics PGGCG 11, Chandigarh y-axis x-axis z-ais - - SUBMITTED BY: - -ais - - - - - - -ais Ms. Harjeet Kaur Associate Proessor Department o Mathematics PGGCG Chandigarh CONTENTS: Function o two variables: Deinition Domain Geometrical illustration

More information

A MATROID EXTENSION RESULT

A MATROID EXTENSION RESULT A MATROID EXTENSION RESULT JAMES OXLEY Abstract. Adding elements to matroids can be fraught with difficulty. In the Vámos matroid V 8, there are four independent sets X 1, X 2, X 3, and X 4 such that (X

More information

Characterizing binary matroids with no P 9 -minor

Characterizing binary matroids with no P 9 -minor 1 2 Characterizing binary matroids with no P 9 -minor Guoli Ding 1 and Haidong Wu 2 1. Department of Mathematics, Louisiana State University, Baton Rouge, Louisiana, USA Email: ding@math.lsu.edu 2. Department

More information

Lines and Planes 1. x(t) = at + b y(t) = ct + d

Lines and Planes 1. x(t) = at + b y(t) = ct + d 1 Lines in the Plane Lines and Planes 1 Ever line of points L in R 2 can be epressed as the solution set for an equation of the form A + B = C. Will we call this the ABC form. Recall that the slope-intercept

More information

The Maze Generation Problem is NP-complete

The Maze Generation Problem is NP-complete The Mae Generation Problem is NP-complete Mario Alviano Department of Mathematics, Universit of Calabria, 87030 Rende (CS), Ital alviano@mat.unical.it Abstract. The Mae Generation problem has been presented

More information

1.5. Analyzing Graphs of Functions. The Graph of a Function. What you should learn. Why you should learn it. 54 Chapter 1 Functions and Their Graphs

1.5. Analyzing Graphs of Functions. The Graph of a Function. What you should learn. Why you should learn it. 54 Chapter 1 Functions and Their Graphs 0_005.qd /7/05 8: AM Page 5 5 Chapter Functions and Their Graphs.5 Analzing Graphs of Functions What ou should learn Use the Vertical Line Test for functions. Find the zeros of functions. Determine intervals

More information

f x, y x 2 y 2 2x 6y 14. Then

f x, y x 2 y 2 2x 6y 14. Then SECTION 11.7 MAXIMUM AND MINIMUM VALUES 645 absolute minimum FIGURE 1 local maimum local minimum absolute maimum Look at the hills and valles in the graph of f shown in Figure 1. There are two points a,

More information

Sub chapter 1. Fundamentals. 1)If Z 2 = 0,1 then (Z 2, +) is group where. + is addition modulo 2. 2) Z 2 Z 2 = (0,0),(0,1)(1,0)(1,1)

Sub chapter 1. Fundamentals. 1)If Z 2 = 0,1 then (Z 2, +) is group where. + is addition modulo 2. 2) Z 2 Z 2 = (0,0),(0,1)(1,0)(1,1) DISCRETE MATHEMATICS CODING THEORY Sub chapter. Fundamentals. )If Z 2 =, then (Z 2, +) is group where + is addition modulo 2. 2) Z 2 Z 2 = (,),(,)(,)(,) Written for the sake of simplicit as Z 2 Z 2 =,,,

More information

Patterns, Functions, & Relations Long-Term Memory Review Review 1

Patterns, Functions, & Relations Long-Term Memory Review Review 1 Long-Term Memor Review Review 1 1. What are the net three terms in the pattern? 9, 5, 1, 3,. Fill in the Blank: A function is a relation that has eactl one for ever. 3. True or False: If the statement

More information

Mathematics of Cryptography Part I

Mathematics of Cryptography Part I CHAPTER 2 Mathematics of Crptograph Part I (Solution to Practice Set) Review Questions 1. The set of integers is Z. It contains all integral numbers from negative infinit to positive infinit. The set of

More information

1.2 Functions and Their Properties PreCalculus

1.2 Functions and Their Properties PreCalculus 1. Functions and Their Properties PreCalculus 1. FUNCTIONS AND THEIR PROPERTIES Learning Targets for 1. 1. Determine whether a set of numbers or a graph is a function. Find the domain of a function given

More information

Orientations of digraphs almost preserving diameter

Orientations of digraphs almost preserving diameter Orientations of digraphs almost preserving diameter Gregor Gutin Department of Computer Science Roal Hollowa, Universit of London Egham, Surre TW20 0EX, UK, gutin@dcs.rhbnc.ac.uk Anders Yeo BRICS, Department

More information

Section 4.1 Increasing and Decreasing Functions

Section 4.1 Increasing and Decreasing Functions Section.1 Increasing and Decreasing Functions The graph of the quadratic function f 1 is a parabola. If we imagine a particle moving along this parabola from left to right, we can see that, while the -coordinates

More information

RELATIONS AND FUNCTIONS through

RELATIONS AND FUNCTIONS through RELATIONS AND FUNCTIONS 11.1.2 through 11.1. Relations and Functions establish a correspondence between the input values (usuall ) and the output values (usuall ) according to the particular relation or

More information

Section 1.2: A Catalog of Functions

Section 1.2: A Catalog of Functions Section 1.: A Catalog of Functions As we discussed in the last section, in the sciences, we often tr to find an equation which models some given phenomenon in the real world - for eample, temperature as

More information

TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS VII

TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS VII TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS VII CAROLYN CHUN AND JAMES OXLEY Abstract. Let M be a 3-connected binary matroid; M is internally 4- connected if one side of every

More information

4 Inverse function theorem

4 Inverse function theorem Tel Aviv Universit, 2013/14 Analsis-III,IV 53 4 Inverse function theorem 4a What is the problem................ 53 4b Simple observations before the theorem..... 54 4c The theorem.....................

More information

An analytic proof of the theorems of Pappus and Desargues

An analytic proof of the theorems of Pappus and Desargues Note di Matematica 22, n. 1, 2003, 99 106. An analtic proof of the theorems of Pappus and Desargues Erwin Kleinfeld and Tuong Ton-That Department of Mathematics, The Universit of Iowa, Iowa Cit, IA 52242,

More information

4.3 Mean-Value Theorem and Monotonicity

4.3 Mean-Value Theorem and Monotonicity .3 Mean-Value Theorem and Monotonicit 1. Mean Value Theorem Theorem: Suppose that f is continuous on the interval a, b and differentiable on the interval a, b. Then there eists a number c in a, b such

More information

General Vector Spaces

General Vector Spaces CHAPTER 4 General Vector Spaces CHAPTER CONTENTS 4. Real Vector Spaces 83 4. Subspaces 9 4.3 Linear Independence 4.4 Coordinates and Basis 4.5 Dimension 4.6 Change of Basis 9 4.7 Row Space, Column Space,

More information

MATROIDS DENSER THAN A PROJECTIVE GEOMETRY

MATROIDS DENSER THAN A PROJECTIVE GEOMETRY MATROIDS DENSER THAN A PROJECTIVE GEOMETRY PETER NELSON Abstract. The growth-rate function for a minor-closed class M of matroids is the function h where, for each non-negative integer r, h(r) is the maximum

More information

1.1 The Equations of Motion

1.1 The Equations of Motion 1.1 The Equations of Motion In Book I, balance of forces and moments acting on an component was enforced in order to ensure that the component was in equilibrium. Here, allowance is made for stresses which

More information

Removing circuits in 3-connected binary matroids

Removing circuits in 3-connected binary matroids Discrete Mathematics 309 (2009) 655 665 www.elsevier.com/locate/disc Removing circuits in 3-connected binary matroids Raul Cordovil a, Bráulio Maia Junior b, Manoel Lemos c, a Departamento de Matemática,

More information

UNCORRECTED. To recognise the rules of a number of common algebraic relations: y = x 1 y 2 = x

UNCORRECTED. To recognise the rules of a number of common algebraic relations: y = x 1 y 2 = x 5A galler of graphs Objectives To recognise the rules of a number of common algebraic relations: = = = (rectangular hperbola) + = (circle). To be able to sketch the graphs of these relations. To be able

More information

CHAPTER 2: Partial Derivatives. 2.2 Increments and Differential

CHAPTER 2: Partial Derivatives. 2.2 Increments and Differential CHAPTER : Partial Derivatives.1 Definition of a Partial Derivative. Increments and Differential.3 Chain Rules.4 Local Etrema.5 Absolute Etrema 1 Chapter : Partial Derivatives.1 Definition of a Partial

More information

Estimators in simple random sampling: Searls approach

Estimators in simple random sampling: Searls approach Songklanakarin J Sci Technol 35 (6 749-760 Nov - Dec 013 http://wwwsjstpsuacth Original Article Estimators in simple random sampling: Searls approach Jirawan Jitthavech* and Vichit Lorchirachoonkul School

More information

A Generalization of a result of Catlin: 2-factors in line graphs

A Generalization of a result of Catlin: 2-factors in line graphs AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 72(2) (2018), Pages 164 184 A Generalization of a result of Catlin: 2-factors in line graphs Ronald J. Gould Emory University Atlanta, Georgia U.S.A. rg@mathcs.emory.edu

More information

Exact Differential Equations. The general solution of the equation is f x, y C. If f has continuous second partials, then M y 2 f

Exact Differential Equations. The general solution of the equation is f x, y C. If f has continuous second partials, then M y 2 f APPENDIX C Additional Topics in Differential Equations APPENDIX C. Eact First-Order Equations Eact Differential Equations Integrating Factors Eact Differential Equations In Chapter 6, ou studied applications

More information

THE MINIMALLY NON-IDEAL BINARY CLUTTERS WITH A TRIANGLE 1. INTRODUCTION

THE MINIMALLY NON-IDEAL BINARY CLUTTERS WITH A TRIANGLE 1. INTRODUCTION THE MINIMALLY NON-IDEAL BINARY CLUTTERS WITH A TRIANGLE AHMAD ABDI AND BERTRAND GUENIN ABSTRACT. It is proved that the lines of the Fano plane and the odd circuits of K 5 constitute the only minimally

More information

Functions. Introduction CHAPTER OUTLINE

Functions. Introduction CHAPTER OUTLINE Functions,00 P,000 00 0 970 97 980 98 990 99 000 00 00 Figure Standard and Poor s Inde with dividends reinvested (credit "bull": modification of work b Praitno Hadinata; credit "graph": modification of

More information

TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS III

TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS III TOWARDS A SPLITTER THEOREM FOR INTERNALLY 4-CONNECTED BINARY MATROIDS III CAROLYN CHUN, DILLON MAYHEW, AND JAMES OXLEY Abstract. This paper proves a preliminary step towards a splitter theorem for internally

More information

12.1 Systems of Linear equations: Substitution and Elimination

12.1 Systems of Linear equations: Substitution and Elimination . Sstems of Linear equations: Substitution and Elimination Sstems of two linear equations in two variables A sstem of equations is a collection of two or more equations. A solution of a sstem in two variables

More information

3 Polynomial and Rational Functions

3 Polynomial and Rational Functions 3 Polnomial and Rational Functions 3.1 Quadratic Functions and Models 3.2 Polnomial Functions and Their Graphs 3.3 Dividing Polnomials 3.4 Real Zeros of Polnomials 3.5 Comple Zeros and the Fundamental

More information

Relaxations of GF(4)-representable matroids

Relaxations of GF(4)-representable matroids Relaxations of GF(4)-representable matroids Ben Clark James Oxley Stefan H.M. van Zwam Department of Mathematics Louisiana State University Baton Rouge LA United States clarkbenj@myvuw.ac.nz oxley@math.lsu.edu

More information

15. Eigenvalues, Eigenvectors

15. Eigenvalues, Eigenvectors 5 Eigenvalues, Eigenvectors Matri of a Linear Transformation Consider a linear ( transformation ) L : a b R 2 R 2 Suppose we know that L and L Then c d because of linearit, we can determine what L does

More information

MA123, Chapter 1: Equations, functions and graphs (pp. 1-15)

MA123, Chapter 1: Equations, functions and graphs (pp. 1-15) MA123, Chapter 1: Equations, functions and graphs (pp. 1-15) Date: Chapter Goals: Identif solutions to an equation. Solve an equation for one variable in terms of another. What is a function? Understand

More information

THE STRUCTURE OF 3-CONNECTED MATROIDS OF PATH WIDTH THREE

THE STRUCTURE OF 3-CONNECTED MATROIDS OF PATH WIDTH THREE THE STRUCTURE OF 3-CONNECTED MATROIDS OF PATH WIDTH THREE RHIANNON HALL, JAMES OXLEY, AND CHARLES SEMPLE Abstract. A 3-connected matroid M is sequential or has path width 3 if its ground set E(M) has a

More information

Derivatives 2: The Derivative at a Point

Derivatives 2: The Derivative at a Point Derivatives 2: The Derivative at a Point 69 Derivatives 2: The Derivative at a Point Model 1: Review of Velocit In the previous activit we eplored position functions (distance versus time) and learned

More information

Path Embeddings with Prescribed Edge in the Balanced Hypercube Network

Path Embeddings with Prescribed Edge in the Balanced Hypercube Network S S smmetr Communication Path Embeddings with Prescribed Edge in the Balanced Hpercube Network Dan Chen, Zhongzhou Lu, Zebang Shen, Gaofeng Zhang, Chong Chen and Qingguo Zhou * School of Information Science

More information

On the relation between the relative earth mover distance and the variation distance (an exposition)

On the relation between the relative earth mover distance and the variation distance (an exposition) On the relation between the relative earth mover distance and the variation distance (an eposition) Oded Goldreich Dana Ron Februar 9, 2016 Summar. In this note we present a proof that the variation distance

More information

The second type of conic is called an ellipse, and is defined as follows. Definition of Ellipse

The second type of conic is called an ellipse, and is defined as follows. Definition of Ellipse 72 Chapter 10 Topics in Analtic Geometr 10.3 ELLIPSES What ou should learn Write equations of ellipses in standard form and graph ellipses. Use properties of ellipses to model and solve real-life problems.

More information

Packing of Rigid Spanning Subgraphs and Spanning Trees

Packing of Rigid Spanning Subgraphs and Spanning Trees Packing of Rigid Spanning Subgraphs and Spanning Trees Joseph Cheriyan Olivier Durand de Gevigney Zoltán Szigeti December 14, 2011 Abstract We prove that every 6k + 2l, 2k-connected simple graph contains

More information

arxiv: v1 [math.co] 21 Dec 2016

arxiv: v1 [math.co] 21 Dec 2016 The integrall representable trees of norm 3 Jack H. Koolen, Masood Ur Rehman, Qianqian Yang Februar 6, 08 Abstract In this paper, we determine the integrall representable trees of norm 3. arxiv:6.0697v

More information

Lehrstuhl für Mathematische Grundlagen der Informatik

Lehrstuhl für Mathematische Grundlagen der Informatik Lehrstuhl für Mathematische Grundlagen der Informatik W. Hochstättler, J. Nešetřil: Antisymmetric Flows in Matroids Technical Report btu-lsgdi-006.03 Contact: wh@math.tu-cottbus.de,nesetril@kam.mff.cuni.cz

More information

Group connectivity of certain graphs

Group connectivity of certain graphs Group connectivity of certain graphs Jingjing Chen, Elaine Eschen, Hong-Jian Lai May 16, 2005 Abstract Let G be an undirected graph, A be an (additive) Abelian group and A = A {0}. A graph G is A-connected

More information

Limits 4: Continuity

Limits 4: Continuity Limits 4: Continuit 55 Limits 4: Continuit Model : Continuit I. II. III. IV. z V. VI. z a VII. VIII. IX. Construct Your Understanding Questions (to do in class). Which is the correct value of f (a) in

More information

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution

More information

Distance Coloring. Alexa Sharp. Cornell University, Ithaca, NY

Distance Coloring. Alexa Sharp. Cornell University, Ithaca, NY Distance Coloring Alexa Sharp Cornell Universit, Ithaca, NY 14853 asharp@cs.cornell.edu Abstract. Given a graph G = (V, E), a (d, k)-coloring is a function from the vertices V to colors {1,,..., k} such

More information

LESSON #42 - INVERSES OF FUNCTIONS AND FUNCTION NOTATION PART 2 COMMON CORE ALGEBRA II

LESSON #42 - INVERSES OF FUNCTIONS AND FUNCTION NOTATION PART 2 COMMON CORE ALGEBRA II LESSON #4 - INVERSES OF FUNCTIONS AND FUNCTION NOTATION PART COMMON CORE ALGEBRA II You will recall from unit 1 that in order to find the inverse of a function, ou must switch and and solve for. Also,

More information

A Note on Clean Matrices in M 2 ( Z)

A Note on Clean Matrices in M 2 ( Z) International Journal of Algebra Vol. 3 2009 no. 5 241-248 A Note on Clean Matrices in M 2 ( Z) K. N. Rajeswari 1 School of Mathematics Vigan Bhawan Khandwa Road Indore 452 017 India Rafia Aziz Medi-Caps

More information

Chapter 13. Overview. The Quadratic Formula. Overview. The Quadratic Formula. The Quadratic Formula. Lewinter & Widulski 1. The Quadratic Formula

Chapter 13. Overview. The Quadratic Formula. Overview. The Quadratic Formula. The Quadratic Formula. Lewinter & Widulski 1. The Quadratic Formula Chapter 13 Overview Some More Math Before You Go The Quadratic Formula The iscriminant Multiplication of Binomials F.O.I.L. Factoring Zero factor propert Graphing Parabolas The Ais of Smmetr, Verte and

More information

INTEGER-MAGIC SPECTRA OF AMALGAMATIONS OF STARS AND CYCLES. Sin-Min Lee San Jose State University San Jose, CA

INTEGER-MAGIC SPECTRA OF AMALGAMATIONS OF STARS AND CYCLES. Sin-Min Lee San Jose State University San Jose, CA INTEGER-MAGIC SPECTRA OF AMALGAMATIONS OF STARS AND CYCLES Sin-Min Lee San Jose State Universit San Jose, CA 9592 lee@cs.sjsu.edu Ebrahim Salehi Department of Mathematical Sciences Universit of Nevada

More information

2.2 Equations of Lines

2.2 Equations of Lines 660_ch0pp07668.qd 10/16/08 4:1 PM Page 96 96 CHAPTER Linear Functions and Equations. Equations of Lines Write the point-slope and slope-intercept forms Find the intercepts of a line Write equations for

More information

Matroid intersection, base packing and base covering for infinite matroids

Matroid intersection, base packing and base covering for infinite matroids Matroid intersection, base packing and base covering for infinite matroids Nathan Bowler Johannes Carmesin June 25, 2014 Abstract As part of the recent developments in infinite matroid theory, there have

More information

The cocycle lattice of binary matroids

The cocycle lattice of binary matroids Published in: Europ. J. Comb. 14 (1993), 241 250. The cocycle lattice of binary matroids László Lovász Eötvös University, Budapest, Hungary, H-1088 Princeton University, Princeton, NJ 08544 Ákos Seress*

More information

Every line graph of a 4-edge-connected graph is Z 3 -connected

Every line graph of a 4-edge-connected graph is Z 3 -connected European Journal of Combinatorics 0 (2009) 595 601 Contents lists available at ScienceDirect European Journal of Combinatorics journal homepage: www.elsevier.com/locate/ejc Every line graph of a 4-edge-connected

More information

( 7, 3) means x = 7 and y = 3. ( 7, 3) works in both equations so. Section 5 1: Solving a System of Linear Equations by Graphing

( 7, 3) means x = 7 and y = 3. ( 7, 3) works in both equations so. Section 5 1: Solving a System of Linear Equations by Graphing Section 5 : Solving a Sstem of Linear Equations b Graphing What is a sstem of Linear Equations? A sstem of linear equations is a list of two or more linear equations that each represents the graph of a

More information

CCSSM Algebra: Equations

CCSSM Algebra: Equations CCSSM Algebra: Equations. Reasoning with Equations and Inequalities (A-REI) Eplain each step in solving a simple equation as following from the equalit of numbers asserted at the previous step, starting

More information

MAT 1275: Introduction to Mathematical Analysis. Graphs and Simplest Equations for Basic Trigonometric Functions. y=sin( x) Function

MAT 1275: Introduction to Mathematical Analysis. Graphs and Simplest Equations for Basic Trigonometric Functions. y=sin( x) Function MAT 275: Introduction to Mathematical Analsis Dr. A. Rozenblum Graphs and Simplest Equations for Basic Trigonometric Functions We consider here three basic functions: sine, cosine and tangent. For them,

More information

D u f f x h f y k. Applying this theorem a second time, we have. f xx h f yx k h f xy h f yy k k. f xx h 2 2 f xy hk f yy k 2

D u f f x h f y k. Applying this theorem a second time, we have. f xx h f yx k h f xy h f yy k k. f xx h 2 2 f xy hk f yy k 2 93 CHAPTER 4 PARTIAL DERIVATIVES We close this section b giving a proof of the first part of the Second Derivatives Test. Part (b) has a similar proof. PROOF OF THEOREM 3, PART (A) We compute the second-order

More information

Linear Programming. Maximize the function. P = Ax + By + C. subject to the constraints. a 1 x + b 1 y < c 1 a 2 x + b 2 y < c 2

Linear Programming. Maximize the function. P = Ax + By + C. subject to the constraints. a 1 x + b 1 y < c 1 a 2 x + b 2 y < c 2 Linear Programming Man real world problems require the optimization of some function subject to a collection of constraints. Note: Think of optimizing as maimizing or minimizing for MATH1010. For eample,

More information

STUDY KNOWHOW PROGRAM STUDY AND LEARNING CENTRE. Functions & Graphs

STUDY KNOWHOW PROGRAM STUDY AND LEARNING CENTRE. Functions & Graphs STUDY KNOWHOW PROGRAM STUDY AND LEARNING CENTRE Functions & Graphs Contents Functions and Relations... 1 Interval Notation... 3 Graphs: Linear Functions... 5 Lines and Gradients... 7 Graphs: Quadratic

More information

Functions and Their Graphs. Jackie Nicholas Janet Hunter Jacqui Hargreaves

Functions and Their Graphs. Jackie Nicholas Janet Hunter Jacqui Hargreaves Mathematics Learning Centre Functions and Their Graphs Jackie Nicholas Janet Hunter Jacqui Hargreaves c 997 Universit of Sdne Contents Functions. What is a function?....... Definition of a function.....

More information

Functions. Introduction

Functions. Introduction Functions,00 P,000 00 0 970 97 980 98 990 99 000 00 00 Figure Standard and Poor s Inde with dividends reinvested (credit "bull": modification of work b Praitno Hadinata; credit "graph": modification of

More information