Formulas for the Number of Spanning Trees in a Maximal Planar Map

Size: px
Start display at page:

Download "Formulas for the Number of Spanning Trees in a Maximal Planar Map"

Transcription

1 Applied Mathematical Scieces Vol o Formulas for the Number of Spaig Trees i a Maximal Plaar Map A. Modabish D. Lotfi ad M. El Marraki Departmet of Computer Scieces Faculty of Scieces Uiversity of Mohamed V P.O. Box 1014 Rabat Morocco hafizmod@yahoo.fr dou.lotfi@ gmail.com marraki@fsr.ac.ma Abstract The umber of spaig trees of a map C deoted by τc is the total umber of distict spaig subgraphs of C that are trees. A maximal plaar map is a simple graph G formed by vertices 3 edges ad all faces havig degree 3 []. I this paper we derive the explicit formula for the umber of spaig trees of the maximal plaar map ad deduce a formula for the umber of spaig trees of the crystal plaar map. Mathematics Subject Classificatio: 05C85 05C30 Keywords: graphs; maps; maximal plaar map; crystal plaar map; fa plaar map; complexity; spaig trees 1 Itroductio First of all let s recall some ecessary defiitios related to our work a udirected graph G is a triplet V G E G δ where V G is the set of vertices of the graph G E G is the set of edges of the graph G ad δ is the applicatio δ : E G Pv e i δe i ={v j v k } with v j ad v k are ed vertices of the edge e i. A loop is a edge e i E G with v j = v k ifδe i =δe j with i j the the edges e i ad e j are called multiple. A graph which cotais either multiple edges or loops is called a simple graph. The degree of a vertex v oted degv is the umber of edges icidet to it. The sum of the degrees of all vertices of a graph is equal to twice the umber of its edges i.e. v V G degv = E G. A graph G is called coected if ay two of its vertices may be coected by a path [1]. The graphs that we cosider are i most cases coected but may cotai multiple edges. A map C is a graph G draw o a surface X

2 3148 A. Modabish D. Lotfi ad M. El Marraki or embedded ito it that is a compact variety -dimesioal orietable i such a way that: the vertices of graph are represeted as distict poits of the surface the edges are represeted as curves o the surface that itersect oly at the vertices if we cut the surface alog the graph thus draw what remais that is the set X\G is a disjoit uio of coected compoets called faces each homeomorphic to a ope disk [6]. A plaar map is a map draw o the plae. Through this paper all maps are plaar ad coected. Euler s formula for maps is: V C + F C E C = g where F C is the set of faces of the map C ad g is the geus of a map C i the plaar case g =0. [6]. A tree is a coected graph without cycle. A pla tree is a tree desiged i the plae. The distace betwee two distict vertices v i ad v j of a tree deoted by dv i v j is equal to the legth of the shortest path umber of edges i that coects v i ad v j by Covetioally dv i v i = 0. We defie a complete vertex i a graph G by the vertex v 0 such that du v 0 = 1 for each u V G \{v 0 }. I a complete graph all the vertices are completes. The Wieer idex of a coected graph is the sum of distaces betwee all pairs of vertices [3] [4] the Wieer idex of a coected graph G is defied as: W G = dv i v j. {v i v j } V G The particular case of trees has bee echoed by several people. For a tree with vertices the Wieer idex W T is miimized by the star tree with vertices ad maximized by the path with vertices [1]. I [3] we worked o the Wieer idex i the case of plaar maps ad gave a iequality which miimizes ad maximizes ay map by the maximal plaar map with vertices ad the path of vertices ad also we gave a formula which calculates the Wieer idex of maximal plaar map E our results give i the followig theorem: Theorem 1. Let C be a map with vertices the +=W E W C W P = 1. 6 The complexity of a map C deoted by τc is the umber of spaig trees of the map C. A spaig tree is a subgraph which is a tree that visits all vertices see Fig. 1. The umber of spaig trees i a graph etwork G is a importat ivariat of the graph etwork. It is also a importat measure of reliability of a graph etwork. A classic result of Kirchhoff [5] [9] ca be used to determie the umber of spaig trees for C =V C E C. Let V C = {v 1 v... v } to state the result we

3 Formulas for the umber of spaig trees 3149 Figure 1: A map C gives rise to 16 spaig trees defie the characteristic matrix L =[a ij ] as follows: i a ij = pv i v j if i j where pv i v j is the umber of edges that coects v i with v j ii a ij equals the degree of vertex v i if i = j ad iii a ij = 0 otherwise. The Kirchhoff matrix tree theorem states that all cofactors of L are equal ad their commo value is τc. The matrix tree theorem ca be applied to ay map C to determie τc but this requires evaluatig a determiat of a correspodig characteristic matrix. However for a few special families of graphs there exist simple formulas which make it much easier to calculate ad determie the umber of correspodig spaig trees especially whe these umbers are very large. Oe of the first such results is due to Cayley who showed that complete graph o vertices K has spaig trees [1] that is he showed τk = for. Theorem. [1] If L C is a matrix obtaied by deletig row i ad colum j of the Laplacia matrix LC the τc = 1 i+j det L C. Aother result is due to Sedlacek [10] who derived a formula for the wheel o + 1 vertices W +1 which is formed from a cycle C o vertices by addig a vertex adjacet to every vertex of C see Fig.. I particular he showed that τw +1 = for 3. I [8] we gave a formula to calculate the complexity of the -Grid chais G where is the umber of squares V G = + see Fig. is as follows: τg =

4 3150 A. Modabish D. Lotfi ad M. El Marraki also aother formula to calculate the complexity of the -Fa chais F where is the umber of triagles V F = + see Fig. is as follows: τf = Figure : The Wheel the -Grid chais ad the -Fa chais I additio other formulas are related to our work ca also be foud i [7] [10] [11]. I this paper we derive the explicit formula for the umber of spaig trees of a maximal plaar map ad deduce a formula for the umber of spaig trees of the crystal plaar map. Mai Results Before presetig the mai results we eed the followig lemmas: Lemma 1. Let C be a map ad τc deote the umber of spaig trees of C. Ife = v i v i+1 EC e is ot a loop the τc =τc e+τc.e. Proof: See [8] [1]. Let C be a map of type C= C 1 C C is a map such that v 1 ad v two vertices of C coected by a edge e []see Fig. 3. Figure 3: A map C= C 1 C

5 Formulas for the umber of spaig trees 3151 Property 1. Let C be a map of type C = C 1 C - C 1 ad C have two commo vertices v 1 v a commo edge e ad a commo face the exteral face. - V C =V C1 +V C - E C =E C1 +E C -1 ad F C =F C1 +F C -1. Example 1. Here is a example of maps C C 1 C C 1 e C e C 1.e ad C.e see Fig. 4. Figure 4: A example of maps C C 1 C C 1 e C e C 1.e ad C.e Lemma. Let C be a map of type C= C 1 C see Fig. 3 the τc =τc 1 τc τc 1 e τc e. Proof: See [8]. Defiitio 1. A maximal plaar map [] Let E be a family of maps that cotais: vertices two complete vertices of degree 1 two vertices of degree 3 ad 4 vertices of degree 4 faces of degree 3 all faces havig degree 3 3 edges the the family of this maps is called a maximal plaar map. The maps E 3 ad E 4 are preseted i the example 3. For E 5 E 6 ad E see Fig. 5 Example. I the maps E 3 ad E 4 all the vertices are complete. I other words we say that the map is complete see Fig 6.

6 315 A. Modabish D. Lotfi ad M. El Marraki Figure 5: The maps E 5 E 6 ad E Figure 6: The maps E 3 ad E 4 Lemma 3. Let E be a maximal plaar map with vertices the /τe 3. Proof: We first form the Kirchhoff characteristic matrix L correspodig to the labelig of E show as follows i Figure 7: Figure 7: The pricipal matrix of E Next we focus our attetio o the pricipal submatrix L 1 which obtaied by cacelig its last row ad colum correspodig to vertex v. So the umber of spaig trees of a maximal plaar map E equals τe =detl 1.

7 Formulas for the umber of spaig trees τe = we deote r i by the i-th row ad c i by the i-th colum of the determiat. I the previous determiat we replace c 1 by c 1 + c c 1 i.e. we add to the first colum the sum of other trasformatio is symbolized as follows: c 1 1 i=1 c i ; this does ot chage the determiat the we obtai: τe = Next we replace c j by c 1 + c j for j =... 1 i.e. c j c 1 + c j we obtai: τe = Expadig L 1 alog the first row we obtai the determiat of order ad expadig the determiat obtaied alog the first row we obtai the determiat of order 3 3 as follows:

8 3154 A. Modabish D. Lotfi ad M. El Marraki τe = hece the result. Lemma 4. Let E be a maximal plaar map with vertices the τe = 4τE 1 1 τe 5. Proof: By lemma 3 we have the determiat of order 3 3: τe = I the previous determiat we deote by c i by the i-th colum ad r i by the i-th row of the determiat c i c i c i+1 for i = we obtai the determiat as follows: τe = I the ed r i i j=1 r j for i =... 3 we obtai the determiat as follows:

9 Formulas for the umber of spaig trees 3155 τe = =4Δ 1 Δ where Δ i = detd i Δ i =4Δ i 1 Δ i because Δ i is tri-diagoal matrix ad D i is defied as followig: D i = the τe i i With the same techique we obtai: hece the result. τe 1 1 =Δ 1 ad τe =Δ 3 Applicatios Theorem 3. A maximal plaar map The complexity of the maximal plaar map E see Fig. 5 is give by the followig formula: τe = Proof: τe 3 =3τE 4 = 16 τe 5 = 75 by lemma 4 hece we obtai the system: τe = 4τE 1 1 τe τe = 4τE 1 1 τe 3 =3 τe 4 =16 τe with The we get a sequece such that u =4u 1 u 3 therefore the characteristic equatio is r 4r + 1 = 0 so the solutios of this equatio are:

10 3156 A. Modabish D. Lotfi ad M. El Marraki r 1 = 3 ad r =+ 3 hece: τe =α 3 + β + 3 αβ R 1. Usig the iitial coditios τe 3 3 = 1 ad τe 4 4 = 4 we obtai: α = β = hece the result. Let F ad G be the maps as follows see Figure 8: Figure 8: The maps F ad G Theorem 4. A Fa plaar map The complexity of the Fa plaar maps F ad G see Fig. 8 is give by the followig formulas: τf = τg = Proof: We put f = τf ad g = τg. f =g = 1 i the map F we cut the first cycle see Fig. 8 ad we use Lemma the same goes for the map G the we obtai: τg =3τF 1 τg 1 τf =τg τf 1 therefore we have the followig system: { f =g f 1 g =3f 1 g 1 with f = ad g =1

11 Formulas for the umber of spaig trees 3157 we replace by the value of g i the first equatio we get: { f =5f 1 g 1 g =3f 1 g 1 with f = ad g =1 f g f = M g = M f 1 g 1 f 1 g where M = 3-1 =... = M f g the we compute M : det M λi =λ 4λ +1=0λ 1 = 3 ad λ =+ 3 λ 1 λ the there is P ivertible such that M = PDP 1 where λ1 0 D = 0 λ P is the trasformatio matrix formed by eigevectors 1 1 P = M = PD P 1 where D = P 1 = from which we obtai M the f g = M f g hece the result. Let E be a maximal plaar map show i Fig. 5. If we delete the edge e = v 1 v of E we obtai the crystal plaar map C with vertices see Fig. 9.

12 3158 A. Modabish D. Lotfi ad M. El Marraki Figure 9: The crystal plaar map C Theorem 5. A crystal plaar map The complexity of the crystal plaar map C see Fig. 9 is give by the followig formula: τc = Proof: By Lemma 1 we have: τe =τe e+τe.e sice τe e = τc ad τe.e =τf see Fig. 10: Figure 10: The maps E E e ad E.e the τc =τe τf. We replace by the value of τe from Theorem 3 ad the value of τf 1 from Theorem 4 thus our result follows. 4 Coclusio I this paper we have iterested by calculatig the umber of spaig trees of some particular plaar maps for that we have derived the explicit formula to calculate the umber of spaig trees of the maximal plaar map the we have deduced the formula for the umber of spaig trees of the crystal plaar map.

13 Formulas for the umber of spaig trees 3159 Refereces [1] G. A. Cayley A Theorem o Trees. Quart. J. Math [] R. Diestel Graph Theory. Spriger-Verlag New York 000. [3] M. El Marraki A. Modabish Wieer idex of plaar maps. Joural of Theoretical ad Applied Iformatio Techology JATIT Vol o [4] M. El Marraki G. Al Hagri Calculatio of the Wieer idex for some particular trees. Joural of Theoretical ad Applied Iformatio Techology JATIT Vol. 010 o [5] G. G. Kirchhoff Über die Auflösug der Gleichuge auf welche ma bei der Utersuchug der lieare Verteilug galvaischer Strme gefhrt wird A. Phys. Chem [6] S.K. Lado A. Zvoki Graphs o Surfaces ad Their Applicatios. Spriger-Verlag 004. [7] A. Modabish D. Lotfi ad M. El Marraki The umber of spaig trees of plaar maps: theory ad applicatios. Proceedigs of the Iteratioal Coferece o Multimedia Computig ad Systems IEEE 011 Ouarzazate-Morocco to appear. [8] A. Modabish M. El Marraki The umber of spaig trees of certai families of plaar maps. Applied Mathematical Scieces Vol o [9] R. Merris Laplacia matrices of graphs A survey Li. Algebra Appl [10] J. Sedlacek Lucas Numbers i Graph Theory. I: Mathematics Geometry ad Graph Theory Chech. Uiv. Karlova Prague [11] J. Sedlacek O the Spaig Trees of Fiite Graphs Cas. Pestovai Mat [1] D. B. West Itroductio to Graph Theory. Secod Editio Pretice Hall 00. Received: April 011

Some Trigonometric Identities Involving Fibonacci and Lucas Numbers

Some Trigonometric Identities Involving Fibonacci and Lucas Numbers 1 2 3 47 6 23 11 Joural of Iteger Sequeces, Vol. 12 (2009), Article 09.8.4 Some Trigoometric Idetities Ivolvig Fiboacci ad Lucas Numbers Kh. Bibak ad M. H. Shirdareh Haghighi Departmet of Mathematics Shiraz

More information

Number of Spanning Trees of Circulant Graphs C 6n and their Applications

Number of Spanning Trees of Circulant Graphs C 6n and their Applications Joural of Mathematics ad Statistics 8 (): 4-3, 0 ISSN 549-3644 0 Sciece Publicatios Number of Spaig Trees of Circulat Graphs C ad their Applicatios Daoud, S.N. Departmet of Mathematics, Faculty of Sciece,

More information

Resistance matrix and q-laplacian of a unicyclic graph

Resistance matrix and q-laplacian of a unicyclic graph Resistace matrix ad q-laplacia of a uicyclic graph R. B. Bapat Idia Statistical Istitute New Delhi, 110016, Idia e-mail: rbb@isid.ac.i Abstract: The resistace distace betwee two vertices of a graph ca

More information

COMPLEXITY OF STAR (m, n)-gon AND OTHER RELATED GRAPHS

COMPLEXITY OF STAR (m, n)-gon AND OTHER RELATED GRAPHS Aailable olie at http://scik.org J. Math. Comput. Sci. 3 (03), No., 694-707 ISSN: 97-5307 COMPLEXITY OF STAR (m, )-GON AND OTHER RELATED GRAPHS S. N. DAOUD,,* AND A. ELSONBATY,3 Departmet of Applied Mathematics,

More information

Complexity of Cocktail Party Graph and Crown Graph

Complexity of Cocktail Party Graph and Crown Graph America Joural of Alied Scieces 9 (): 0-07, 0 ISSN 546-939 0 Sciece Publicatios Comlexity of Cocktail Party Grah ad Crow Grah Daoud, S.N. Deartmet of Alied Mathematics, Faculty of Alied Sciece, Taibah

More information

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION Iteratioal Joural of Pure ad Applied Mathematics Volume 103 No 3 2015, 537-545 ISSN: 1311-8080 (prited versio); ISSN: 1314-3395 (o-lie versio) url: http://wwwijpameu doi: http://dxdoiorg/1012732/ijpamv103i314

More information

AN INTRODUCTION TO SPECTRAL GRAPH THEORY

AN INTRODUCTION TO SPECTRAL GRAPH THEORY AN INTRODUCTION TO SPECTRAL GRAPH THEORY JIAQI JIANG Abstract. Spectral graph theory is the study of properties of the Laplacia matrix or adjacecy matrix associated with a graph. I this paper, we focus

More information

Bounds for the Extreme Eigenvalues Using the Trace and Determinant

Bounds for the Extreme Eigenvalues Using the Trace and Determinant ISSN 746-7659, Eglad, UK Joural of Iformatio ad Computig Sciece Vol 4, No, 9, pp 49-55 Bouds for the Etreme Eigevalues Usig the Trace ad Determiat Qi Zhog, +, Tig-Zhu Huag School of pplied Mathematics,

More information

# fixed points of g. Tree to string. Repeatedly select the leaf with the smallest label, write down the label of its neighbour and remove the leaf.

# fixed points of g. Tree to string. Repeatedly select the leaf with the smallest label, write down the label of its neighbour and remove the leaf. Combiatorics Graph Theory Coutig labelled ad ulabelled graphs There are 2 ( 2) labelled graphs of order. The ulabelled graphs of order correspod to orbits of the actio of S o the set of labelled graphs.

More information

Axioms of Measure Theory

Axioms of Measure Theory MATH 532 Axioms of Measure Theory Dr. Neal, WKU I. The Space Throughout the course, we shall let X deote a geeric o-empty set. I geeral, we shall ot assume that ay algebraic structure exists o X so that

More information

Some inequalities for the Kirchhoff index of graphs

Some inequalities for the Kirchhoff index of graphs Malaya Joural of Matematik Vol 6 No 349-353 08 https://doiorg/06637/mjm060/0008 Some iequalities for the Kirchhoff idex of graphs Igor Milovaovic * Emia Milovaovic Marja Matejic ad Edi Glogic Abstract

More information

LAPLACIAN ENERGY OF GENERALIZED COMPLEMENTS OF A GRAPH

LAPLACIAN ENERGY OF GENERALIZED COMPLEMENTS OF A GRAPH Kragujevac Joural of Mathematics Volume 4 018, Pages 99 315 LAPLACIAN ENERGY OF GENERALIZED COMPLEMENTS OF A GRAPH H J GOWTHAM 1, SABITHA D SOUZA 1, AND PRADEEP G BHAT 1 Abstract Let P = {V 1, V, V 3,,

More information

Stochastic Matrices in a Finite Field

Stochastic Matrices in a Finite Field Stochastic Matrices i a Fiite Field Abstract: I this project we will explore the properties of stochastic matrices i both the real ad the fiite fields. We first explore what properties 2 2 stochastic matrices

More information

Math 778S Spectral Graph Theory Handout #3: Eigenvalues of Adjacency Matrix

Math 778S Spectral Graph Theory Handout #3: Eigenvalues of Adjacency Matrix Math 778S Spectral Graph Theory Hadout #3: Eigevalues of Adjacecy Matrix The Cartesia product (deoted by G H) of two simple graphs G ad H has the vertex-set V (G) V (H). For ay u, v V (G) ad x, y V (H),

More information

Fastest mixing Markov chain on a path

Fastest mixing Markov chain on a path Fastest mixig Markov chai o a path Stephe Boyd Persi Diacois Ju Su Li Xiao Revised July 2004 Abstract We ider the problem of assigig trasitio probabilities to the edges of a path, so the resultig Markov

More information

Chimica Inorganica 3

Chimica Inorganica 3 himica Iorgaica Irreducible Represetatios ad haracter Tables Rather tha usig geometrical operatios, it is ofte much more coveiet to employ a ew set of group elemets which are matrices ad to make the rule

More information

On the Determinants and Inverses of Skew Circulant and Skew Left Circulant Matrices with Fibonacci and Lucas Numbers

On the Determinants and Inverses of Skew Circulant and Skew Left Circulant Matrices with Fibonacci and Lucas Numbers WSEAS TRANSACTIONS o MATHEMATICS Yu Gao Zhaoli Jiag Yapeg Gog O the Determiats ad Iverses of Skew Circulat ad Skew Left Circulat Matrices with Fiboacci ad Lucas Numbers YUN GAO Liyi Uiversity Departmet

More information

Disjoint unions of complete graphs characterized by their Laplacian spectrum

Disjoint unions of complete graphs characterized by their Laplacian spectrum Electroic Joural of Liear Algebra Volume 18 Volume 18 (009) Article 56 009 Disjoit uios of complete graphs characterized by their Laplacia spectrum Romai Boulet boulet@uiv-tlse.fr Follow this ad additioal

More information

ACO Comprehensive Exam 9 October 2007 Student code A. 1. Graph Theory

ACO Comprehensive Exam 9 October 2007 Student code A. 1. Graph Theory 1. Graph Theory Prove that there exist o simple plaar triagulatio T ad two distict adjacet vertices x, y V (T ) such that x ad y are the oly vertices of T of odd degree. Do ot use the Four-Color Theorem.

More information

Symmetric Division Deg Energy of a Graph

Symmetric Division Deg Energy of a Graph Turkish Joural of Aalysis ad Number Theory, 7, Vol, No 6, -9 Available olie at http://pubssciepubcom/tat//6/ Sciece ad Educatio Publishig DOI:69/tat--6- Symmetric Divisio Deg Eergy of a Graph K N Prakasha,

More information

The path polynomial of a complete graph

The path polynomial of a complete graph Electroic Joural of Liear Algebra Volume 10 Article 12 2003 The path polyomial of a complete graph C M da Foseca cmf@matucpt Follow this ad additioal wors at: http://repositoryuwyoedu/ela Recommeded Citatio

More information

ON GRAPHS WITH THREE DISTINCT LAPLACIAN EIGENVALUES. 1 Introduction

ON GRAPHS WITH THREE DISTINCT LAPLACIAN EIGENVALUES. 1 Introduction Appl. Math. J. Chiese Uiv. Ser. B 2007, 22(4): 478-484 ON GRAPHS WITH THREE DISTINCT LAPLACIAN EIGENVALUES Wag Yi 1 Fa Yizheg 1 Ta Yigyig 1,2 Abstract. I this paper, a equivalet coditio of a graph G with

More information

4 The Sperner property.

4 The Sperner property. 4 The Sperer property. I this sectio we cosider a surprisig applicatio of certai adjacecy matrices to some problems i extremal set theory. A importat role will also be played by fiite groups. I geeral,

More information

The Multiplicative Zagreb Indices of Products of Graphs

The Multiplicative Zagreb Indices of Products of Graphs Iteratioal Joural of Mathematics Research. ISSN 0976-5840 Volume 8, Number (06), pp. 6-69 Iteratioal Research Publicatio House http://www.irphouse.com The Multiplicative Zagreb Idices of Products of Graphs

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

The inverse eigenvalue problem for symmetric doubly stochastic matrices

The inverse eigenvalue problem for symmetric doubly stochastic matrices Liear Algebra ad its Applicatios 379 (004) 77 83 www.elsevier.com/locate/laa The iverse eigevalue problem for symmetric doubly stochastic matrices Suk-Geu Hwag a,,, Sug-Soo Pyo b, a Departmet of Mathematics

More information

1 Last time: similar and diagonalizable matrices

1 Last time: similar and diagonalizable matrices Last time: similar ad diagoalizable matrices Let be a positive iteger Suppose A is a matrix, v R, ad λ R Recall that v a eigevector for A with eigevalue λ if v ad Av λv, or equivaletly if v is a ozero

More information

TRACES OF HADAMARD AND KRONECKER PRODUCTS OF MATRICES. 1. Introduction

TRACES OF HADAMARD AND KRONECKER PRODUCTS OF MATRICES. 1. Introduction Math Appl 6 2017, 143 150 DOI: 1013164/ma201709 TRACES OF HADAMARD AND KRONECKER PRODUCTS OF MATRICES PANKAJ KUMAR DAS ad LALIT K VASHISHT Abstract We preset some iequality/equality for traces of Hadamard

More information

CALCULATION OF FIBONACCI VECTORS

CALCULATION OF FIBONACCI VECTORS CALCULATION OF FIBONACCI VECTORS Stuart D. Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithaca.edu ad Dai Novak Departmet of Mathematics, Ithaca College

More information

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows

More information

Eigenvalues and Eigenvectors

Eigenvalues and Eigenvectors 5 Eigevalues ad Eigevectors 5.3 DIAGONALIZATION DIAGONALIZATION Example 1: Let. Fid a formula for A k, give that P 1 1 = 1 2 ad, where Solutio: The stadard formula for the iverse of a 2 2 matrix yields

More information

PROBLEM SET I (Suggested Solutions)

PROBLEM SET I (Suggested Solutions) Eco3-Fall3 PROBLE SET I (Suggested Solutios). a) Cosider the followig: x x = x The quadratic form = T x x is the required oe i matrix form. Similarly, for the followig parts: x 5 b) x = = x c) x x x x

More information

Lecture 8: October 20, Applications of SVD: least squares approximation

Lecture 8: October 20, Applications of SVD: least squares approximation Mathematical Toolkit Autum 2016 Lecturer: Madhur Tulsiai Lecture 8: October 20, 2016 1 Applicatios of SVD: least squares approximatio We discuss aother applicatio of sigular value decompositio (SVD) of

More information

ON THE NUMBER OF LAPLACIAN EIGENVALUES OF TREES SMALLER THAN TWO. Lingling Zhou, Bo Zhou* and Zhibin Du 1. INTRODUCTION

ON THE NUMBER OF LAPLACIAN EIGENVALUES OF TREES SMALLER THAN TWO. Lingling Zhou, Bo Zhou* and Zhibin Du 1. INTRODUCTION TAIWANESE JOURNAL OF MATHEMATICS Vol 19, No 1, pp 65-75, February 015 DOI: 1011650/tjm190154411 This paper is available olie at http://jouraltaiwamathsocorgtw ON THE NUMBER OF LAPLACIAN EIGENVALUES OF

More information

ROTATION-EQUIVALENCE CLASSES OF BINARY VECTORS. 1. Introduction

ROTATION-EQUIVALENCE CLASSES OF BINARY VECTORS. 1. Introduction t m Mathematical Publicatios DOI: 10.1515/tmmp-2016-0033 Tatra Mt. Math. Publ. 67 (2016, 93 98 ROTATION-EQUIVALENCE CLASSES OF BINARY VECTORS Otokar Grošek Viliam Hromada ABSTRACT. I this paper we study

More information

Absolutely Harmonious Labeling of Graphs

Absolutely Harmonious Labeling of Graphs Iteratioal J.Math. Combi. Vol. (011), 40-51 Absolutely Harmoious Labelig of Graphs M.Seeivasa (Sri Paramakalyai College, Alwarkurichi-6741, Idia) A.Lourdusamy (St.Xavier s College (Autoomous), Palayamkottai,

More information

Energy of a Hypercube and its Complement

Energy of a Hypercube and its Complement Iteratioal Joural of Algebra, Vol. 6, 01, o. 16, 799-805 Eergy of a Hypercube ad its Complemet Xiaoge Che School of Iformatio Sciece ad Techology, Zhajiag Normal Uiversity Zhajiag Guagdog, 54048 P.R. Chia

More information

On the Number of 1-factors of Bipartite Graphs

On the Number of 1-factors of Bipartite Graphs Math Sci Lett 2 No 3 181-187 (2013) 181 Mathematical Scieces Letters A Iteratioal Joural http://dxdoiorg/1012785/msl/020306 O the Number of 1-factors of Bipartite Graphs Mehmet Akbulak 1 ad Ahmet Öteleş

More information

Theorem: Let A n n. In this case that A does reduce to I, we search for A 1 as the solution matrix X to the matrix equation A X = I i.e.

Theorem: Let A n n. In this case that A does reduce to I, we search for A 1 as the solution matrix X to the matrix equation A X = I i.e. Theorem: Let A be a square matrix The A has a iverse matrix if ad oly if its reduced row echelo form is the idetity I this case the algorithm illustrated o the previous page will always yield the iverse

More information

SOME TRIBONACCI IDENTITIES

SOME TRIBONACCI IDENTITIES Mathematics Today Vol.7(Dec-011) 1-9 ISSN 0976-38 Abstract: SOME TRIBONACCI IDENTITIES Shah Devbhadra V. Sir P.T.Sarvajaik College of Sciece, Athwalies, Surat 395001. e-mail : drdvshah@yahoo.com The sequece

More information

Binary codes from graphs on triples and permutation decoding

Binary codes from graphs on triples and permutation decoding Biary codes from graphs o triples ad permutatio decodig J. D. Key Departmet of Mathematical Scieces Clemso Uiversity Clemso SC 29634 U.S.A. J. Moori ad B. G. Rodrigues School of Mathematics Statistics

More information

BI-INDUCED SUBGRAPHS AND STABILITY NUMBER *

BI-INDUCED SUBGRAPHS AND STABILITY NUMBER * Yugoslav Joural of Operatios Research 14 (2004), Number 1, 27-32 BI-INDUCED SUBGRAPHS AND STABILITY NUMBER * I E ZVEROVICH, O I ZVEROVICH RUTCOR Rutgers Ceter for Operatios Research, Rutgers Uiversity,

More information

Disjoint Systems. Abstract

Disjoint Systems. Abstract Disjoit Systems Noga Alo ad Bey Sudaov Departmet of Mathematics Raymod ad Beverly Sacler Faculty of Exact Scieces Tel Aviv Uiversity, Tel Aviv, Israel Abstract A disjoit system of type (,,, ) is a collectio

More information

The Random Walk For Dummies

The Random Walk For Dummies The Radom Walk For Dummies Richard A Mote Abstract We look at the priciples goverig the oe-dimesioal discrete radom walk First we review five basic cocepts of probability theory The we cosider the Beroulli

More information

Pairs of disjoint q-element subsets far from each other

Pairs of disjoint q-element subsets far from each other Pairs of disjoit q-elemet subsets far from each other Hikoe Eomoto Departmet of Mathematics, Keio Uiversity 3-14-1 Hiyoshi, Kohoku-Ku, Yokohama, 223 Japa, eomoto@math.keio.ac.jp Gyula O.H. Katoa Alfréd

More information

On Net-Regular Signed Graphs

On Net-Regular Signed Graphs Iteratioal J.Math. Combi. Vol.1(2016), 57-64 O Net-Regular Siged Graphs Nuta G.Nayak Departmet of Mathematics ad Statistics S. S. Dempo College of Commerce ad Ecoomics, Goa, Idia E-mail: ayakuta@yahoo.com

More information

MATH 10550, EXAM 3 SOLUTIONS

MATH 10550, EXAM 3 SOLUTIONS MATH 155, EXAM 3 SOLUTIONS 1. I fidig a approximate solutio to the equatio x 3 +x 4 = usig Newto s method with iitial approximatio x 1 = 1, what is x? Solutio. Recall that x +1 = x f(x ) f (x ). Hece,

More information

The Local Harmonious Chromatic Problem

The Local Harmonious Chromatic Problem The 7th Workshop o Combiatorial Mathematics ad Computatio Theory The Local Harmoious Chromatic Problem Yue Li Wag 1,, Tsog Wuu Li ad Li Yua Wag 1 Departmet of Iformatio Maagemet, Natioal Taiwa Uiversity

More information

Notes for Lecture 11

Notes for Lecture 11 U.C. Berkeley CS78: Computatioal Complexity Hadout N Professor Luca Trevisa 3/4/008 Notes for Lecture Eigevalues, Expasio, ad Radom Walks As usual by ow, let G = (V, E) be a udirected d-regular graph with

More information

CMSE 820: Math. Foundations of Data Sci.

CMSE 820: Math. Foundations of Data Sci. Lecture 17 8.4 Weighted path graphs Take from [10, Lecture 3] As alluded to at the ed of the previous sectio, we ow aalyze weighted path graphs. To that ed, we prove the followig: Theorem 6 (Fiedler).

More information

Analytical solutions for multi-wave transfer matrices in layered structures

Analytical solutions for multi-wave transfer matrices in layered structures Joural of Physics: Coferece Series PAPER OPEN ACCESS Aalytical solutios for multi-wave trasfer matrices i layered structures To cite this article: Yu N Belyayev 018 J Phys: Cof Ser 109 01008 View the article

More information

ON THE HADAMARD PRODUCT OF BALANCING Q n B AND BALANCING Q n

ON THE HADAMARD PRODUCT OF BALANCING Q n B AND BALANCING Q n TWMS J App Eg Math V5, N, 015, pp 01-07 ON THE HADAMARD PRODUCT OF ALANCING Q AND ALANCING Q MATRIX MATRIX PRASANTA KUMAR RAY 1, SUJATA SWAIN, Abstract I this paper, the matrix Q Q which is the Hadamard

More information

Machine Learning for Data Science (CS 4786)

Machine Learning for Data Science (CS 4786) Machie Learig for Data Sciece CS 4786) Lecture & 3: Pricipal Compoet Aalysis The text i black outlies high level ideas. The text i blue provides simple mathematical details to derive or get to the algorithm

More information

Problem Set 2 Solutions

Problem Set 2 Solutions CS271 Radomess & Computatio, Sprig 2018 Problem Set 2 Solutios Poit totals are i the margi; the maximum total umber of poits was 52. 1. Probabilistic method for domiatig sets 6pts Pick a radom subset S

More information

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled 1 Lecture : Area Area ad distace traveled Approximatig area by rectagles Summatio The area uder a parabola 1.1 Area ad distace Suppose we have the followig iformatio about the velocity of a particle, how

More information

k-generalized FIBONACCI NUMBERS CLOSE TO THE FORM 2 a + 3 b + 5 c 1. Introduction

k-generalized FIBONACCI NUMBERS CLOSE TO THE FORM 2 a + 3 b + 5 c 1. Introduction Acta Math. Uiv. Comeiaae Vol. LXXXVI, 2 (2017), pp. 279 286 279 k-generalized FIBONACCI NUMBERS CLOSE TO THE FORM 2 a + 3 b + 5 c N. IRMAK ad M. ALP Abstract. The k-geeralized Fiboacci sequece { F (k)

More information

The multiplicative structure of finite field and a construction of LRC

The multiplicative structure of finite field and a construction of LRC IERG6120 Codig for Distributed Storage Systems Lecture 8-06/10/2016 The multiplicative structure of fiite field ad a costructio of LRC Lecturer: Keeth Shum Scribe: Zhouyi Hu Notatios: We use the otatio

More information

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row:

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row: Math 50-004 Tue Feb 4 Cotiue with sectio 36 Determiats The effective way to compute determiats for larger-sized matrices without lots of zeroes is to ot use the defiitio, but rather to use the followig

More information

Research Article Some E-J Generalized Hausdorff Matrices Not of Type M

Research Article Some E-J Generalized Hausdorff Matrices Not of Type M Abstract ad Applied Aalysis Volume 2011, Article ID 527360, 5 pages doi:10.1155/2011/527360 Research Article Some E-J Geeralized Hausdorff Matrices Not of Type M T. Selmaogullari, 1 E. Savaş, 2 ad B. E.

More information

CHAPTER 5. Theory and Solution Using Matrix Techniques

CHAPTER 5. Theory and Solution Using Matrix Techniques A SERIES OF CLASS NOTES FOR 2005-2006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 3 A COLLECTION OF HANDOUTS ON SYSTEMS OF ORDINARY DIFFERENTIAL

More information

Estimation of Backward Perturbation Bounds For Linear Least Squares Problem

Estimation of Backward Perturbation Bounds For Linear Least Squares Problem dvaced Sciece ad Techology Letters Vol.53 (ITS 4), pp.47-476 http://dx.doi.org/.457/astl.4.53.96 Estimatio of Bacward Perturbatio Bouds For Liear Least Squares Problem Xixiu Li School of Natural Scieces,

More information

The Binet formula, sums and representations of generalized Fibonacci p-numbers

The Binet formula, sums and representations of generalized Fibonacci p-numbers Europea Joural of Combiatorics 9 (008) 70 7 wwwelseviercom/locate/ec The Biet formula, sums ad represetatios of geeralized Fiboacci p-umbers Emrah Kilic TOBB ETU Uiversity of Ecoomics ad Techology, Mathematics

More information

Adjacent vertex distinguishing total coloring of tensor product of graphs

Adjacent vertex distinguishing total coloring of tensor product of graphs America Iteratioal Joural of Available olie at http://wwwiasiret Research i Sciece Techology Egieerig & Mathematics ISSN Prit): 38-3491 ISSN Olie): 38-3580 ISSN CD-ROM): 38-369 AIJRSTEM is a refereed idexed

More information

Malaya J. Mat. 4(3)(2016) Reciprocal Graphs

Malaya J. Mat. 4(3)(2016) Reciprocal Graphs Malaya J Mat 43)06) 380 387 Reciprocal Graphs G Idulal a, ad AVijayakumar b a Departmet of Mathematics, StAloysius College, Edathua, Alappuzha - 689573, Idia b Departmet of Mathematics, Cochi Uiversity

More information

Solutions for the Exam 9 January 2012

Solutions for the Exam 9 January 2012 Mastermath ad LNMB Course: Discrete Optimizatio Solutios for the Exam 9 Jauary 2012 Utrecht Uiversity, Educatorium, 15:15 18:15 The examiatio lasts 3 hours. Gradig will be doe before Jauary 23, 2012. Studets

More information

New Bounds for the Resolvent Energy of Graphs

New Bounds for the Resolvent Energy of Graphs SCIENTIFIC PUBLICATIONS OF THE STATE UNIVERSITY OF NOVI PAZAR SER A: APPL MATH INFORM AND MECH vol 9, 2 207), 87-9 New Bouds for the Resolvet Eergy of Graphs E H Zogić, E R Glogić Abstract: The resolvet

More information

The spectral radius and the maximum degree of irregular graphs arxiv:math/ v1 [math.co] 22 Feb 2007

The spectral radius and the maximum degree of irregular graphs arxiv:math/ v1 [math.co] 22 Feb 2007 The spectral radius ad the maximum degree of irregular graphs arxiv:math/0702627v1 [math.co] 22 Feb 2007 Sebastia M. Cioabă Departmet of Mathematics Uiversity of Califoria, Sa Diego La Jolla, CA 92093-0112

More information

Matrices and vectors

Matrices and vectors Oe Matrices ad vectors This book takes for grated that readers have some previous kowledge of the calculus of real fuctios of oe real variable It would be helpful to also have some kowledge of liear algebra

More information

Math 155 (Lecture 3)

Math 155 (Lecture 3) Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,

More information

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS DEMETRES CHRISTOFIDES Abstract. Cosider a ivertible matrix over some field. The Gauss-Jorda elimiatio reduces this matrix to the idetity

More information

A FIBONACCI MATRIX AND THE PERMANENT FUNCTION

A FIBONACCI MATRIX AND THE PERMANENT FUNCTION A FIBONACCI MATRIX AND THE PERMANENT FUNCTION BRUCE W. KING Burt Hiils-Ballsto Lake High School, Ballsto Lake, New York ad FRANCIS D. PARKER The St. Lawrece Uiversity, Cato, New York The permaet of a -square

More information

c 2006 Society for Industrial and Applied Mathematics

c 2006 Society for Industrial and Applied Mathematics SIAM J. MATRIX ANAL. APPL. Vol. 7, No. 3, pp. 851 860 c 006 Society for Idustrial ad Applied Mathematics EXTREMAL EIGENVALUES OF REAL SYMMETRIC MATRICES WITH ENTRIES IN AN INTERVAL XINGZHI ZHAN Abstract.

More information

REVIEW FOR CHAPTER 1

REVIEW FOR CHAPTER 1 REVIEW FOR CHAPTER 1 A short summary: I this chapter you helped develop some basic coutig priciples. I particular, the uses of ordered pairs (The Product Priciple), fuctios, ad set partitios (The Sum Priciple)

More information

EQUITABLE DOMINATING CHROMATIC SETS IN GRAPHS. Sethu Institute of Technology Kariapatti, Tamilnadu, INDIA 2 Department of Mathematics

EQUITABLE DOMINATING CHROMATIC SETS IN GRAPHS. Sethu Institute of Technology Kariapatti, Tamilnadu, INDIA 2 Department of Mathematics Iteratioal Joural of Pure ad Applied Mathematics Volume 104 No. 2 2015, 193-202 ISSN: 1311-8080 (prited versio); ISSN: 1314-3395 (o-lie versio) url: http://www.ijpam.eu doi: http://dx.doi.org/10.12732/ijpam.v104i2.4

More information

Group divisible designs GDD(n, n, n, 1; λ 1,λ 2 )

Group divisible designs GDD(n, n, n, 1; λ 1,λ 2 ) AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 69(1) (2017), Pages 18 28 Group divisible desigs GDD(,,, 1; λ 1,λ 2 ) Atthakor Sakda Chariya Uiyyasathia Departmet of Mathematics ad Computer Sciece Faculty

More information

On Nonsingularity of Saddle Point Matrices. with Vectors of Ones

On Nonsingularity of Saddle Point Matrices. with Vectors of Ones Iteratioal Joural of Algebra, Vol. 2, 2008, o. 4, 197-204 O Nosigularity of Saddle Poit Matrices with Vectors of Oes Tadeusz Ostrowski Istitute of Maagemet The State Vocatioal Uiversity -400 Gorzów, Polad

More information

Lecture Notes for Analysis Class

Lecture Notes for Analysis Class Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios

More information

Bi-Magic labeling of Interval valued Fuzzy Graph

Bi-Magic labeling of Interval valued Fuzzy Graph Advaces i Fuzzy Mathematics. ISSN 0973-533X Volume 1, Number 3 (017), pp. 645-656 Research Idia Publicatios http://www.ripublicatio.com Bi-Magic labelig of Iterval valued Fuzzy Graph K.Ameeal Bibi 1 ad

More information

Spectral Graph Theory and its Applications. Lillian Dai Oct. 20, 2004

Spectral Graph Theory and its Applications. Lillian Dai Oct. 20, 2004 Spectral raph Theory ad its Applicatios Lillia Dai 6.454 Oct. 0, 004 Outlie Basic spectral graph theory raph partitioig usig spectral methods D. Spielma ad S. Teg, Spectral Partitioig Works: Plaar raphs

More information

a for a 1 1 matrix. a b a b 2 2 matrix: We define det ad bc 3 3 matrix: We define a a a a a a a a a a a a a a a a a a

a for a 1 1 matrix. a b a b 2 2 matrix: We define det ad bc 3 3 matrix: We define a a a a a a a a a a a a a a a a a a Math S-b Lecture # Notes This wee is all about determiats We ll discuss how to defie them, how to calculate them, lear the allimportat property ow as multiliearity, ad show that a square matrix A is ivertible

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

Decoupling Zeros of Positive Discrete-Time Linear Systems*

Decoupling Zeros of Positive Discrete-Time Linear Systems* Circuits ad Systems,,, 4-48 doi:.436/cs..7 Published Olie October (http://www.scirp.org/oural/cs) Decouplig Zeros of Positive Discrete-Time Liear Systems* bstract Tadeusz Kaczorek Faculty of Electrical

More information

Algebra of Least Squares

Algebra of Least Squares October 19, 2018 Algebra of Least Squares Geometry of Least Squares Recall that out data is like a table [Y X] where Y collects observatios o the depedet variable Y ad X collects observatios o the k-dimesioal

More information

ON SOME DIOPHANTINE EQUATIONS RELATED TO SQUARE TRIANGULAR AND BALANCING NUMBERS

ON SOME DIOPHANTINE EQUATIONS RELATED TO SQUARE TRIANGULAR AND BALANCING NUMBERS Joural of Algebra, Number Theory: Advaces ad Applicatios Volume, Number, 00, Pages 7-89 ON SOME DIOPHANTINE EQUATIONS RELATED TO SQUARE TRIANGULAR AND BALANCING NUMBERS OLCAY KARAATLI ad REFİK KESKİN Departmet

More information

Application of Jordan Canonical Form

Application of Jordan Canonical Form CHAPTER 6 Applicatio of Jorda Caoical Form Notatios R is the set of real umbers C is the set of complex umbers Q is the set of ratioal umbers Z is the set of itegers N is the set of o-egative itegers Z

More information

AMS Mathematics Subject Classification : 40A05, 40A99, 42A10. Key words and phrases : Harmonic series, Fourier series. 1.

AMS Mathematics Subject Classification : 40A05, 40A99, 42A10. Key words and phrases : Harmonic series, Fourier series. 1. J. Appl. Math. & Computig Vol. x 00y), No. z, pp. A RECURSION FOR ALERNAING HARMONIC SERIES ÁRPÁD BÉNYI Abstract. We preset a coveiet recursive formula for the sums of alteratig harmoic series of odd order.

More information

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER / Statistics

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER / Statistics ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER 1 018/019 DR. ANTHONY BROWN 8. Statistics 8.1. Measures of Cetre: Mea, Media ad Mode. If we have a series of umbers the

More information

On Degeneracy of Lower Envelopes of Algebraic Surfaces

On Degeneracy of Lower Envelopes of Algebraic Surfaces CCCG 010, Wiipeg MB, August 9 11, 010 O Degeeracy of Lower Evelopes of Algebraic Surfaces Kimikazu Kato Abstract We aalyze degeeracy of lower evelopes of algebraic surfaces. We focus o the cases omitted

More information

A Block Cipher Using Linear Congruences

A Block Cipher Using Linear Congruences Joural of Computer Sciece 3 (7): 556-560, 2007 ISSN 1549-3636 2007 Sciece Publicatios A Block Cipher Usig Liear Cogrueces 1 V.U.K. Sastry ad 2 V. Jaaki 1 Academic Affairs, Sreeidhi Istitute of Sciece &

More information

LONG SNAKES IN POWERS OF THE COMPLETE GRAPH WITH AN ODD NUMBER OF VERTICES

LONG SNAKES IN POWERS OF THE COMPLETE GRAPH WITH AN ODD NUMBER OF VERTICES J Lodo Math Soc (2 50, (1994, 465 476 LONG SNAKES IN POWERS OF THE COMPLETE GRAPH WITH AN ODD NUMBER OF VERTICES Jerzy Wojciechowski Abstract I [5] Abbott ad Katchalski ask if there exists a costat c >

More information

Analytic Continuation

Analytic Continuation Aalytic Cotiuatio The stadard example of this is give by Example Let h (z) = 1 + z + z 2 + z 3 +... kow to coverge oly for z < 1. I fact h (z) = 1/ (1 z) for such z. Yet H (z) = 1/ (1 z) is defied for

More information

A Note on the Symmetric Powers of the Standard Representation of S n

A Note on the Symmetric Powers of the Standard Representation of S n A Note o the Symmetric Powers of the Stadard Represetatio of S David Savitt 1 Departmet of Mathematics, Harvard Uiversity Cambridge, MA 0138, USA dsavitt@mathharvardedu Richard P Staley Departmet of Mathematics,

More information

MORE GRAPHS WHOSE ENERGY EXCEEDS THE NUMBER OF VERTICES

MORE GRAPHS WHOSE ENERGY EXCEEDS THE NUMBER OF VERTICES Iraia Joural of Mathematical Scieces ad Iformatics Vol. 2, No. 2 (2007), pp 57-62 MORE GRAPHS WHOSE ENERGY EXCEEDS THE NUMBER OF VERTICES CHANDRASHEKAR ADIGA, ZEYNAB KHOSHBAKHT ad IVAN GUTMAN 1 DEPARTMENT

More information

a for a 1 1 matrix. a b a b 2 2 matrix: We define det ad bc 3 3 matrix: We define a a a a a a a a a a a a a a a a a a

a for a 1 1 matrix. a b a b 2 2 matrix: We define det ad bc 3 3 matrix: We define a a a a a a a a a a a a a a a a a a Math E-2b Lecture #8 Notes This week is all about determiats. We ll discuss how to defie them, how to calculate them, lear the allimportat property kow as multiliearity, ad show that a square matrix A

More information

Singular value decomposition. Mathématiques appliquées (MATH0504-1) B. Dewals, Ch. Geuzaine

Singular value decomposition. Mathématiques appliquées (MATH0504-1) B. Dewals, Ch. Geuzaine Lecture 11 Sigular value decompositio Mathématiques appliquées (MATH0504-1) B. Dewals, Ch. Geuzaie V1.2 07/12/2018 1 Sigular value decompositio (SVD) at a glace Motivatio: the image of the uit sphere S

More information

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j. Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α

More information

Linear Algebra and its Applications

Linear Algebra and its Applications Liear Algebra ad its Applicatios 433 (2010) 1148 1153 Cotets lists available at ScieceDirect Liear Algebra ad its Applicatios joural homepage: www.elsevier.com/locate/laa The algebraic coectivity of graphs

More information

Weakly Connected Closed Geodetic Numbers of Graphs

Weakly Connected Closed Geodetic Numbers of Graphs Iteratioal Joural of Mathematical Aalysis Vol 10, 016, o 6, 57-70 HIKARI Ltd, wwwm-hikaricom http://dxdoiorg/101988/ijma01651193 Weakly Coected Closed Geodetic Numbers of Graphs Rachel M Pataga 1, Imelda

More information

Alliance Partition Number in Graphs

Alliance Partition Number in Graphs Alliace Partitio Number i Graphs Lida Eroh Departmet of Mathematics Uiversity of Wiscosi Oshkosh, Oshkosh, WI email: eroh@uwoshedu, phoe: (90)44-7343 ad Ralucca Gera Departmet of Applied Mathematics Naval

More information

CHAPTER I: Vector Spaces

CHAPTER I: Vector Spaces CHAPTER I: Vector Spaces Sectio 1: Itroductio ad Examples This first chapter is largely a review of topics you probably saw i your liear algebra course. So why cover it? (1) Not everyoe remembers everythig

More information