THE THICKNESS OF THE COMPLETE MULTIPARTITE GRAPHS AND THE JOIN OF GRAPHS

Size: px
Start display at page:

Download "THE THICKNESS OF THE COMPLETE MULTIPARTITE GRAPHS AND THE JOIN OF GRAPHS"

Transcription

1 THE THICKNESS OF THE COMPLETE MULTIPARTITE GRAPHS AND THE JOIN OF GRAPHS YICHAO CHEN AND YAN YANG Abstract. The thickness of a graph is the minimum number of planar s- panning subgraphs into which the graph can be decomposed. It is known for relatively few classes of graphs, compared to other topological invariants, e.g., genus and crossing number. For the complete bipartite graphs, Beineke, Harary and Moon (On the thickness of the complete bipartite graph, Proc. Cambridge Philos. Soc., 60 (1964), 1 5.) gave the answer for most graphs in this family in In this paper, we derive formulas and bounds for the thickness of some complete k-partite graphs. And some properties for the thickness for the join of two graphs are also obtained. 1. Introduction A graph G is often denoted by G = (V (G), E(G)), where V (G) is the vertex set and E(G) is the edge set. The complement G of G is the graph whose vertex set is V (G) and whose edges are the pairs of nonadjacent vertices of G. A complete graph is a graph in which any two vertices are adjacent. A complete graph on n vertices is denoted by K n. The union G H of two graph G and H is the graph (V (G) V (H), E(G) E(H)). The join G + H of two vertex disjoint graphs G and H is obtained from G H by joining every vertex of G to every vertex of H. A complete k-partite graph is a graph whose vertex set can be partitioned into k parts, such that every edge has its ends in different parts and every two vertices in different parts are adjacent. K p1,p,...,p k denotes a complete k-partite graph in which the ith part contains p i (1 i k) vertices. And it is easy to see K p1,p,...,p k = K p1 + K p K pk. The thickness t(g) of a graph G is the minimum number of planar spanning subgraphs into which G can be decomposed. It was firstly defined by Tutte [7] in Since determining the thickness of a graph is NP-hard [4], it is very difficult to get the exact thickness number for arbitrary graphs. Beineke and Harary [] determined the thickness of the complete graph K n for n 4(mod 6) in 1965, while the remaining cases were solved in 1976, independently by Alekseev and Gončhakov [1] and by Vasak [8]. Theorem 1.1. [1,, 8] The thickness of the complete graph K n is t(k n ) = n+7 6, except that t(k 9 ) = t(k 10 ) = Mathematics Subject Classification. 05C10. Key words and phrases. thickness; complete multipartite graph; join. The work of the first author was supported by NNSFC under Grants No The work of the second author was supported by NNSFC under Grants No

2 YICHAO CHEN AND YAN YANG For the complete bipartite graphs, the problem has not been entirely solved yet. Beineke, Harary and Moon [3] gave the answer for most graphs in this family in Theorem 1.. [3] For m n, the thickness of the complete bipartite graph K m,n mn is t(k m,n ) =, except possibly when m and n are both odd and there (m+n ) exists an integer k satisfying m = k(m ) (m k). For the complete tripartite graph, Poranen proved t(k n,n,n ) n in [6] and Yang [9] gave the exact thickness number of K l,m,n (l m n) when l + m 5 and showed that t(k l,m,n ) = l+m when l + m is even and n > 1(l + m ) ; or l + m is odd and n > (l + m )(l + m 1). The reader is referred to [5] for more background and results about the thickness problems. In this paper, our concerning is the thickness of the complete multipartite graphs. Some results on the thickness for the join of two graphs are also given.. Thickness of some complete k-partite graphs The arboricity a(g) of a graph G is the minimum number of spanning forests into which the graph can be decomposed. It is known that the thickness of any graph is not less than a third of its arboricity and not more than its arboricity, and the arboricity of the complete graph K n is n. Lemma.1. Let K s + K n be the join of K s and K n (s, n 1), then t(k s + K n ) s. Proof. Denote the s vertices in K s by v 1,..., v s, and the n vertices in K n by u 1,..., u n. In the following, we will construct a planar subgraphs decomposition of K s + K n with s planar subgraphs, which shows t(ks + K n ) s. (1) Since a(k s ) = s, we have a spanning forests decomposition of Ks with s forests, and we denote these forests by F1,..., F s. () Add n parallel edges between v 1 and v in F 1 and insert vertices u 1,..., u n on these n parallel edges respectively. We will get a planar subgraph G 1 of K s + K n. (3) Add n parallel edges between v 3 and v 4 in F and insert vertices u 1,..., u n on these n parallel edges respectively. We will get a planar subgraph G of K s + K n. (4) Repeat this procedure with F i, for 3 i s. If s is odd, place the vertices u 1,..., u n in F s and join them to vs. We will get planar subgraphs G 3,..., G s of Ks + K n. For G 1 G G s = Ks +K n, a planar subgraphs decomposition of K s +K n with s planar subgraphs is obtained, and the lemma follows.

3 THE THICKNESS OF THE COMPLETE MULTIPARTITE GRAPHS AND THE JOIN OF GRAPHS3 Lemma.. For the complete k-partite graph K p1,p,...,p k number of odd numbers in the set {p 1, p,..., p k 1 }, then (k 3), let s be the pi s t(k p1,p,...,p k ) +. Proof. Suppose the k partite sets of K p1,p,...,p k are V 1 = {v 1 1, v 1,..., v 1 p 1 }, V = {v 1, v,..., v p },..., V k = {v k 1, v k,..., v k p k } respectively. We will construct one of its planar subgraphs decomposition as follows. (1) For vertices in V 1, join both v1 1 and v 1 to all the vertices in V i, 1 i k and i 1, we can get a planar graph G 1 1. Join both v3 1 and v4 1 to all the vertices in V i, 1 i k and i 1, we can get a planar graph G 1. Repeat this procedure with different vertices from V 1, until the p 1 th planar graph G 1 p 1 has been obtained. If p 1 is even, then all the vertices from V 1 will be used. If p 1 is odd, then the vertex vp 1 1 will not be used. () For vertices in V, join both v1 and v to all the vertices in V i, 1 i k and i, we can get a planar graph G 1. Join both v3 and v4 to all the vertices in V i, 1 i k and i, we can get a planar graph G. Repeat this procedure with different vertices from V, until the p th planar graph G has been obtained. p (3) Repeat this procedure with V 3,..., V k 1 respectively, we will get p p k 1 planar subgraphs of Kp1,p,...,p k, denote them by G 3 1,..., G 3 p3,..., G p k 1 1,..., G p k 1 p k 1 respectively. (4) Let G = G 1 1 G 1 p 1 Gp k 1 1 G p k 1 p k 1, then K p1,p,...,p k G = K s +K pk, in which s is the number of odd numbers in the set {p 1, p,..., p k 1 }. By Lemma.1, there exists a planar subgraphs decomposition of K s + K pk with s subgraphs. Above all, a planar decomposition of K p1,p,...,p k subgraphs is obtained, and the lemma follows. with pi s + planar Theorem.3. The thickness of the complete k-partite graph K p1,p,...,p k (k 3) k 1 ( p i equals when p i is even and p k > 1 k 1 p i ), or p i is odd ( k 1 ) ( k 1 ) and p k > p i 1 p i.

4 4 YICHAO CHEN AND YAN YANG ( k 1 k 1 Proof. When p i is even and p k > 1 p i ), or p i is odd and p k > ( ) ( k 1 ) p i 1 p i, from [3], the thickness of the complete bipartite graph K p1 +p +...+p k 1,p k is k 1 p i. Since K p1 +p +...+p k 1,p k is a subgraph of K p1,p,...,p k, by Lemma., we have pi s + t(k p1,p,...,p k ) t(k p1 +p + +p k 1,p k ) = k 1 in which s is the number of odd numbers in the set {p 1, p,..., p k 1 }. Since pi k 1 s p i + = where 0 s k 1, the theorem is obtained. 3. The thickness of G + K n Let p 1 = p = = p s = 1 and p s+1 = n, from Theorem.3, we have the following theorem. Theorem 3.1. The thickness of the join of K s and K n (s, n 1) equals s, if s is even and n > 1 (s ), or s is odd and n > (s 1)(s ). Theorem 3.. If G is a simple graph on p vertices, then the thickness of G + K n is p when p is even and n > 1 (p ), or p is odd and n > (p 1)(p ). Proof. Since K p,n G + K n K p + K n, we have t(k p,n ) t(g + K n ) t(k p + K n ). From Theorem 3.1 and the Theorem 1 in [3], the theorem can be obtained. Theorem 3.3. The thickness of the join of K s and K n (s 4, n 1) equals { 1, if s = 1, or s = 3 and n ; t(k s + K n ) =, if s = 3 and n 3, or s = 4 and n 1. Proof. It is easy to see that the graphs K 1 + K n, K + K n, K 3 + K 1 and K 3 + K are all planar graphs, so their thicknesses are all one. When n 3, the graph K 3 + K n contains a K 3,3 as its subgraph, so we have t(k 3 + K n ). On the other hand, it is trivial to construct a planar subgraphs decomposition of K 3 + K n with two planar subgraphs, using the construction of Lemma.1, which shows t(k 3 + K n ). Hence, t(k 3 + K n ) = when n 3. When n 1, the graph K 4 + K n contains a K 5 as its subgraph, so we have t(k 4 +K n ). And it is not hard to construct a planar subgraphs decomposition of K 4 + K n with two planar subgraphs, which shows t(k 4 + K n ). Hence, t(k 4 + K n ) = when n 1. p i,

5 THE THICKNESS OF THE COMPLETE MULTIPARTITE GRAPHS AND THE JOIN OF GRAPHS5 Summarizing the above, the theorem follows. The following result shows that the upper bound in Theorem 3.1 is best possible for s = 5. Corollary 3.4. When 1 n 1, the thickness of K 5 + K n is ; when n 13, the thickness of K 5 + K n is 3. Proof. From Theorem 3.1, the thickness of K 5 + K n is 3, when n 13. Because the graph K 5 +K n contains a K 5 as its subgraph, we have t(k 5 +K n ). Figure 1 constructs a planar subgraphs decomposition of K 5 + K 1 with two planar subgraphs, which shows t(k 5 + K n ), when 1 n 1. Summarizing the above, the corollary follows. f l 1 i b e k j h 5 a c d l g 3 4 d a g f j 1 5 i 3 h e b c 4 k Figure 1. A planar decomposition of K 5 + K 1 Though we do not find a formula of t(k s + K n ), for all s and n, we have the following upper and lower bounds. Corollary 3.5. For s, n 1 and s / {8, 9}, the possible thicknesses of K s + K n are consecutive integers in [ s+8, s 6 ]. Proof. Because t(k s + K n ) t(k s + K 1 ) and K s + K 1 = K s+1, combining it with Theorem 1.1, we have t(k s +K n ) s+8, except for s = 8 and 9. From Theorem 6 3.1, the maximum value of t(k s + K n ) equals s. Since the graph Ks + K n+1 is obtained from K s + K n by adding a new vertex and joining the new vertex to all vertices in K s, we have t(k s + K n+1 ) = t(k s + K n ) or t(k s + K n+1 ) = t(k s + K n ) + 1. Summarizing the above, the corollary is obtained. In a similar way, the following two corollaries can be obtained. Corollary 3.6. For n 1, the thickness of K 8 + K n is 3 or 4. Corollary 3.7. For n 1, the thickness of K 9 + K n is 3, 4 or 5.

6 6 YICHAO CHEN AND YAN YANG 4. The thickness of G + P n The graph P n is the path with n vertices. In this section we study the thickness of the join of a graph G and a path P n. Theorem 4.1. The thickness of the join of K s and P n (s, n 1) equals s, if s is even and n > 1 (s ), or s is odd and n > (s 1)(s ). Proof. In the proof of Lemma.1, we have constructed a planar subgraphs decomposition of K s + K n with s planar subgraphs by the procedure (1)-(4). By joining the vertices u 1, u,..., u n with a path in the process (), we can get a planar subgraphs decomposition of K s + P n with s planar subgraphs, which shows t(k s + P n ) s. On the other hand, Ks + K n is a subgraph of K s + P n, so we have t(k s + K n ) t(k s + P n ). Combining them with Theorem 3.1, the theorem follows. Theorem 4.. If G is a simple graph on s vertices, then the thickness of G + P n is s when s is even and n > 1 (s ), or s is odd and n > (s 1)(s ). Proof. With a similar proof to that of Theorem 3., the theorem can be obtained. Theorem 4.3. The thickness of the join of K s and P n (s 5, n 1) equals 1, if s = 1, or s = 3 and n = 1; t(k s + P n ) =, if s = 3 and n, or s = 4, or s = 5 and 1 n 1; 3, if s = 5 and n 13. Proof. It is easy to see that the graphs K 1 + P n, K + P n and K 3 + P 1 are all planar graphs, so their thicknesses are all one. When n, the graph K 3 + P n contains a K 5 as its subgraph, so we have t(k 3 + P n ). However, Figure illustrates a planar subgraphs decomposition of K 3 + P n with two planar subgraphs, which shows t(k 3 + P n ). So we have t(k 3 + P n ) = when n. u 1 u 1 u u u 3 v 1 v v 3 u 3 u n u n v 3 Figure. A planar decomposition of K 3 + P n

7 THE THICKNESS OF THE COMPLETE MULTIPARTITE GRAPHS AND THE JOIN OF GRAPHS7 When n 1, the graph K 4 + P n contains a K 5 as its subgraph, so we have t(k 4 + P n ). And Figure 3 presents a planar subgraphs decomposition of K 4 + P n with two planar subgraphs, which shows t(k 4 + P n ). So we have t(k 4 + P n ) = when n 1. u 1 u 1 u u 3 v 1 v u u 3 v 3 v 4 u n u n v 3 v 4 Figure 3. A planar decomposition of K 4 + P n From Theorem 4.1, the thickness of K 5 + P n is three, when n 13. Because the graph K 5 + P n contains a K 5 as its subgraph, we have t(k 5 + P n ). Figure 4 constructs a planar subgraphs decomposition of K 5 +P 1 with two planar subgraphs, which shows t(k 5 + P n ), when 1 n 1. Hence the thickness of K 5 + P n is two, when 1 n 1. Summarizing the above, the theorem follows. Proceeding as the proof of Corollary 3.5, we have the following corollaries. Corollary 4.4. For s, n 1 and s / {8, 9}, the possible thicknesses of K s + P n are consecutive integers in [ s+8, s 6 ]. Corollary 4.5. For n 1, the thickness of K 8 + P n is 3 or 4. Corollary 4.6. For n 1, the thickness of K 9 + P n is 3, 4 or The thickness for the join of two graphs G and H For arbitrary graphs G and H, we prove the following two properties for the thickness of the join of G and H. Property 5.1. Let G and H be two simple graphs with order p and q respectively, then t(g + H) Max{t(G), t(h)} + t(k p,q ). Proof. Because G + H is a subgraph of G H K p,q, in which the two partite sets of K p,q are V (G) and V (H) respectively, t(g + H) t(g H K p,q ) t(g H) + t(k p,q ). Since G and H are disjoint, t(g H) = Max{t(G), t(h)}, and the property follows.

8 8 YICHAO CHEN AND YAN YANG k h c a l 4 j 3 g 5 f 1 e b i d a b c d e f g h i j k l 3 Figure 4. A planar decomposition of K 5 + P 1 Property 5.. Let G and H be two simple graphs with order p and q respectively, then t(g + H) Min{t(H) + t(g + K q ), t(g) + t(h + K p )}. Proof. The graph G + H is a subgraph of H (G + K q ) and it is also a subgraph of G (H + K p ), in which V (K q ) = V (H) and V (K p ) = V (G). Hence both t(g+h) t(h)+t(g+k q ) and t(g+h) t(g)+t(h +K p ) hold, the property follows. References [1] V.B. Alekseev and V.S. Gončhakov, The thickness of an arbitrary complete graph, Math. Sbornik., 30() (1976), [] L.W. Beineke and F. Harary, The thickness of the complete graph, Canad. J. Math., 17 (1965), [3] L.W. Beineke, F. Harary and J.W. Moon, On the thickness of the complete bipartite graph, Proc. Cambridge Philos. Soc., 60 (1964), 1 5. [4] A. Mansfield, Determining the thickness of graphs is NP-hard, Math. Proc. Cambridge Philos. Soc., 93(9) (1983), 9 3.

9 THE THICKNESS OF THE COMPLETE MULTIPARTITE GRAPHS AND THE JOIN OF GRAPHS9 [5] P. Mutzel, T. Odenthal and M. Scharbrodt, The thickness of graphs: a survey, Graphs and Combin., 14 (1998), [6] T. Poranen, A simulated annealing algorithm for determining the thickness of a graph, Inform. Sci., 17 (005), [7] W.T. Tutte, The thickness of a graph, Indag. Math., 5 (1963), [8] J.M. Vasak, The thickness of the complete graph, Notices Amer. Math. Soc., 3 (1976), A-479. [9] Y. Yang, A note on the thickness of K l,m,n, Ars Combin., 117 (014), College of Mathematics and Econometrics, Hunan University, Changsha, China address: ycchen@hnu.edu.cn Department of Mathematics, Tianjin University, 30007, Tianjin, China address: yanyang@tju.edu.cn (Corresponding author: Yan YANG)

New Relations between Thickness and Outer Thickness of a Graph and its Arboricity

New Relations between Thickness and Outer Thickness of a Graph and its Arboricity Theoretical Mathematics & Applications, vol1, no1, 211, 37-48 ISSN: 1792-9687 (print), 1792-979 (online) International Scientific Press, 211 New Relations between Thickness and Outer Thickness of a Graph

More information

N S ER E P S I M TA S UN A I S I T VER A GENETIC ALGORITHM FOR DETERMINING THE THICKNESS OF A GRAPH Erkki Mäkinen, Timo Poranen and Petri Vuorenmaa DE

N S ER E P S I M TA S UN A I S I T VER A GENETIC ALGORITHM FOR DETERMINING THE THICKNESS OF A GRAPH Erkki Mäkinen, Timo Poranen and Petri Vuorenmaa DE N S ER E P S I M TA S UN A I S I T VER A GENETIC ALGORITHM FOR DETERMINING THE THICKNESS OF A GRAPH Erkki Mäkinen, Timo Poranen and Petri Vuorenmaa DEPARTMENT OF COMPUTER AND INFORMATION INFORMATION SCIENCES

More information

Note. On the Thickness and Arboricity of a Graph

Note. On the Thickness and Arboricity of a Graph JOURNAL OF COMBINATORIAL THEORY, Series B 52, 147-151 ([991) Note On the Thickness and Arboricity of a Graph ALICE M. DEAN Department of Mathematics and Computer Science, Skidmore College, Saratoga Springs,

More information

GRAPH THEORY and APPLICATIONS. Factorization Domination Indepence Clique

GRAPH THEORY and APPLICATIONS. Factorization Domination Indepence Clique GRAPH THEORY and APPLICATIONS Factorization Domination Indepence Clique Factorization Factor A factor of a graph G is a spanning subgraph of G, not necessarily connected. G is the sum of factors G i, if:

More information

Edge-disjoint Spanning Trees in Triangulated Graphs on Surfaces and application to node labeling 1

Edge-disjoint Spanning Trees in Triangulated Graphs on Surfaces and application to node labeling 1 Edge-disjoint Spanning Trees in Triangulated Graphs on Surfaces and application to node labeling 1 Arnaud Labourel a a LaBRI - Universite Bordeaux 1, France Abstract In 1974, Kundu [4] has shown that triangulated

More information

RECENT RESULTS IN TOPOLOGICAL GRAPH THEORY*

RECENT RESULTS IN TOPOLOGICAL GRAPH THEORY* RECENT RESULTS IN TOPOLOGICAL GRAPH THEORY* By F. HARARY (Ann Arbor, USA) (Presented b?,~ A. R~NYI) A graph G is usually defined as a finite collection V of points together with a collection X of lines,

More information

GRAPHS WITH 1-FACTORS

GRAPHS WITH 1-FACTORS proceedings of the american mathematical society Volume 42, Number 1, January 1974 GRAPHS WITH 1-FACTORS DAVID P. SUMNER Abstract. In this paper it is shown that if G is a connected graph of order 2n (n>

More information

Applied Mathematical Sciences, Vol. 5, 2011, no. 49, Július Czap

Applied Mathematical Sciences, Vol. 5, 2011, no. 49, Július Czap Applied Mathematical Sciences, Vol. 5, 011, no. 49, 437-44 M i -Edge Colorings of Graphs Július Czap Department of Applied Mathematics and Business Informatics Faculty of Economics, Technical University

More information

Characterizations of graph classes by forbidden configurations

Characterizations of graph classes by forbidden configurations Characterizations of graph classes by forbidden configurations Zdeněk Dvořák September 14, 2015 We consider graph classes that can be described by excluding some fixed configurations. Let us give some

More information

EDGE MAXIMAL GRAPHS CONTAINING NO SPECIFIC WHEELS. Jordan Journal of Mathematics and Statistics (JJMS) 8(2), 2015, pp I.

EDGE MAXIMAL GRAPHS CONTAINING NO SPECIFIC WHEELS. Jordan Journal of Mathematics and Statistics (JJMS) 8(2), 2015, pp I. EDGE MAXIMAL GRAPHS CONTAINING NO SPECIFIC WHEELS M.S.A. BATAINEH (1), M.M.M. JARADAT (2) AND A.M.M. JARADAT (3) A. Let k 4 be a positive integer. Let G(n; W k ) denote the class of graphs on n vertices

More information

Definition For vertices u, v V (G), the distance from u to v, denoted d(u, v), in G is the length of a shortest u, v-path. 1

Definition For vertices u, v V (G), the distance from u to v, denoted d(u, v), in G is the length of a shortest u, v-path. 1 Graph fundamentals Bipartite graph characterization Lemma. If a graph contains an odd closed walk, then it contains an odd cycle. Proof strategy: Consider a shortest closed odd walk W. If W is not a cycle,

More information

Math 776 Graph Theory Lecture Note 1 Basic concepts

Math 776 Graph Theory Lecture Note 1 Basic concepts Math 776 Graph Theory Lecture Note 1 Basic concepts Lectured by Lincoln Lu Transcribed by Lincoln Lu Graph theory was founded by the great Swiss mathematician Leonhard Euler (1707-178) after he solved

More information

Collapsible biclaw-free graphs

Collapsible biclaw-free graphs Collapsible biclaw-free graphs Hong-Jian Lai, Xiangjuan Yao February 24, 2006 Abstract A graph is called biclaw-free if it has no biclaw as an induced subgraph. In this note, we prove that if G is a connected

More information

Induced-universal graphs for graphs with bounded maximum degree

Induced-universal graphs for graphs with bounded maximum degree Induced-universal graphs for graphs with bounded maximum degree Steve Butler UCLA, Department of Mathematics, University of California Los Angeles, Los Angeles, CA 90095, USA. email: butler@math.ucla.edu.

More information

The Restrained Edge Geodetic Number of a Graph

The Restrained Edge Geodetic Number of a Graph International Journal of Computational and Applied Mathematics. ISSN 0973-1768 Volume 11, Number 1 (2016), pp. 9 19 Research India Publications http://www.ripublication.com/ijcam.htm The Restrained Edge

More information

A THREE AND FIVE COLOR THEOREM

A THREE AND FIVE COLOR THEOREM PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 52, October 1975 A THREE AND FIVE COLOR THEOREM FRANK R. BERNHART1 ABSTRACT. Let / be a face of a plane graph G. The Three and Five Color Theorem

More information

Generalized Pebbling Number

Generalized Pebbling Number International Mathematical Forum, 5, 2010, no. 27, 1331-1337 Generalized Pebbling Number A. Lourdusamy Department of Mathematics St. Xavier s College (Autonomous) Palayamkottai - 627 002, India lourdugnanam@hotmail.com

More information

Algorithm and Complexity of Disjointed Connected Dominating Set Problem on Trees

Algorithm and Complexity of Disjointed Connected Dominating Set Problem on Trees Algorithm and Complexity of Disjointed Connected Dominating Set Problem on Trees Wei Wang joint with Zishen Yang, Xianliang Liu School of Mathematics and Statistics, Xi an Jiaotong University Dec 20, 2016

More information

Balanced Degree-Magic Labelings of Complete Bipartite Graphs under Binary Operations

Balanced Degree-Magic Labelings of Complete Bipartite Graphs under Binary Operations Iranian Journal of Mathematical Sciences and Informatics Vol. 13, No. 2 (2018), pp 1-13 DOI: 10.7508/ijmsi.2018.13.001 Balanced Degree-Magic Labelings of Complete Bipartite Graphs under Binary Operations

More information

ON A WEAKER VERSION OF SUM LABELING OF GRAPHS

ON A WEAKER VERSION OF SUM LABELING OF GRAPHS ON A WEAKER VERSION OF SUM LABELING OF GRAPHS IMRAN JAVAID, FARIHA KHALID, ALI AHMAD and M. IMRAN Communicated by the former editorial board In this paper, we introduce super weak sum labeling and weak

More information

Chapter 4. square sum graphs. 4.1 Introduction

Chapter 4. square sum graphs. 4.1 Introduction Chapter 4 square sum graphs In this Chapter we introduce a new type of labeling of graphs which is closely related to the Diophantine Equation x 2 + y 2 = n and report results of our preliminary investigations

More information

LOCAL CONNECTIVE CHROMATIC NUMBER OF DIRECT PRODUCT OF PATHS AND CYCLES

LOCAL CONNECTIVE CHROMATIC NUMBER OF DIRECT PRODUCT OF PATHS AND CYCLES BULLETIN OF THE INTERNATIONAL MATHEMATICAL VIRTUAL INSTITUTE ISSN (p) 303-4874, ISSN (o) 303-4955 www.imvibl.org /JOURNALS / BULLETIN Vol. 7(017), 561-57 DOI: 10.751/BIMVI1703561Ç Former BULLETIN OF THE

More information

ON THE GENUS OF THE COMPOSITION OF TWO GRAPHS

ON THE GENUS OF THE COMPOSITION OF TWO GRAPHS PACIFIC JOURNAL OF MATHEMATICS Vol. 41, No. 1, 1972 ON THE GENUS OF THE COMPOSITION OF TWO GRAPHS ARTHUR T. WHITE Given two graphs G and H, a new graph G(H), called the composition (or lexicographic product)

More information

PACKING DIGRAPHS WITH DIRECTED CLOSED TRAILS

PACKING DIGRAPHS WITH DIRECTED CLOSED TRAILS PACKING DIGRAPHS WITH DIRECTED CLOSED TRAILS PAUL BALISTER Abstract It has been shown [Balister, 2001] that if n is odd and m 1,, m t are integers with m i 3 and t i=1 m i = E(K n) then K n can be decomposed

More information

PLANAR GRAPH BIPARTIZATION IN LINEAR TIME

PLANAR GRAPH BIPARTIZATION IN LINEAR TIME PLANAR GRAPH BIPARTIZATION IN LINEAR TIME SAMUEL FIORINI, NADIA HARDY, BRUCE REED, AND ADRIAN VETTA Abstract. For each constant k, we present a linear time algorithm that, given a planar graph G, either

More information

{ 1} Definitions. 10. Extremal graph theory. Problem definition Paths and cycles Complete subgraphs

{ 1} Definitions. 10. Extremal graph theory. Problem definition Paths and cycles Complete subgraphs Problem definition Paths and cycles Complete subgraphs 10. Extremal graph theory 10.1. Definitions Let us examine the following forbidden subgraph problems: At most how many edges are in a graph of order

More information

A note on the saturation number of the family of k-connected graphs

A note on the saturation number of the family of k-connected graphs A note on the saturation number of the family of k-connected graphs Paul S. Wenger January 8, 014 Abstract Given a family of graphs F, a graph G is F-saturated if no member of F is a subgraph of G, but

More information

Hamiltonian cycles in bipartite quadrangulations on the torus

Hamiltonian cycles in bipartite quadrangulations on the torus Hamiltonian cycles in bipartite quadrangulations on the torus Atsuhiro Nakamoto and Kenta Ozeki Abstract In this paper, we shall prove that every bipartite quadrangulation G on the torus admits a simple

More information

Subdivided graphs have linear Ramsey numbers

Subdivided graphs have linear Ramsey numbers Subdivided graphs have linear Ramsey numbers Noga Alon Bellcore, Morristown, NJ 07960, USA and Department of Mathematics Raymond and Beverly Sackler Faculty of Exact Sciences Tel Aviv University, Tel Aviv,

More information

Vertex-magic Labeling of Regular Graphs: Disjoint Unions and Assemblages

Vertex-magic Labeling of Regular Graphs: Disjoint Unions and Assemblages Vertex-magic Labeling of Regular Graphs: Disjoint Unions and Assemblages I. D. Gray and J. A. MacDougall School of Mathematical and Physical Sciences The University of Newcastle NSW 38 Australia jim.macdougall@newcastle.edu.au

More information

K 4 C 5. Figure 4.5: Some well known family of graphs

K 4 C 5. Figure 4.5: Some well known family of graphs 08 CHAPTER. TOPICS IN CLASSICAL GRAPH THEORY K, K K K, K K, K K, K C C C C 6 6 P P P P P. Graph Operations Figure.: Some well known family of graphs A graph Y = (V,E ) is said to be a subgraph of a graph

More information

AALBORG UNIVERSITY. A short update on equipackable graphs. Preben Dahl Vestergaard. Department of Mathematical Sciences. Aalborg University

AALBORG UNIVERSITY. A short update on equipackable graphs. Preben Dahl Vestergaard. Department of Mathematical Sciences. Aalborg University AALBORG UNIVERSITY A short update on equipackable graphs by Preben Dahl Vestergaard R-2007-06 February 2007 Department of Mathematical Sciences Aalborg University Fredrik Bajers Vej 7 G DK - 9220 Aalborg

More information

On the packing chromatic number of some lattices

On the packing chromatic number of some lattices On the packing chromatic number of some lattices Arthur S. Finbow Department of Mathematics and Computing Science Saint Mary s University Halifax, Canada BH C art.finbow@stmarys.ca Douglas F. Rall Department

More information

The crossing number of K 1,4,n

The crossing number of K 1,4,n Discrete Mathematics 308 (2008) 1634 1638 www.elsevier.com/locate/disc The crossing number of K 1,4,n Yuanqiu Huang, Tinglei Zhao Department of Mathematics, Normal University of Hunan, Changsha 410081,

More information

Finding a -regular Supergraph of Minimum Order

Finding a -regular Supergraph of Minimum Order Finding a -regular Supergraph of Minimum Order Hans L. Bodlaender a, Richard B. Tan a,b and Jan van Leeuwen a a Department of Computer Science Utrecht University Padualaan 14, 3584 CH Utrecht The Netherlands

More information

General Models for Optimum Arbitrary-Dimension FPGA Switch Box Designs

General Models for Optimum Arbitrary-Dimension FPGA Switch Box Designs General Models for Optimum Arbitrary-Dimension FPGA Switch Box Designs Hongbing Fan Dept. of omputer Science University of Victoria Victoria B anada V8W P6 Jiping Liu Dept. of Math. & omp. Sci. University

More information

and Heinz-Jürgen Voss

and Heinz-Jürgen Voss Discussiones Mathematicae Graph Theory 22 (2002 ) 193 198 ON k-trestles IN POLYHEDRAL GRAPHS Michal Tkáč Department of Mathematics The Faculty of Business Economics in Košice University of Economics in

More information

Maximum number of edges in claw-free graphs whose maximum degree and matching number are bounded

Maximum number of edges in claw-free graphs whose maximum degree and matching number are bounded Maximum number of edges in claw-free graphs whose maximum degree and matching number are bounded Cemil Dibek Tınaz Ekim Pinar Heggernes Abstract We determine the maximum number of edges that a claw-free

More information

Bipartite Ramsey numbers involving stars, stripes and trees

Bipartite Ramsey numbers involving stars, stripes and trees Electronic Journal of Graph Theory and Applications 1 () (013), 89 99 Bipartite Ramsey numbers involving stars, stripes and trees Michalis Christou a, Costas S. Iliopoulos a,b, Mirka Miller c,d, a Department

More information

Thickness and Colorability of Geometric Graphs

Thickness and Colorability of Geometric Graphs Thickness and Colorability of Geometric Graphs Stephane Durocher, Ellen Gethner, and Debajyoti Mondal Department of Computer Science, University of Manitoba Department of Computer Science, University of

More information

The Connectivity and Diameter of Second Order Circuit Graphs of Matroids

The Connectivity and Diameter of Second Order Circuit Graphs of Matroids Graphs and Combinatorics (2012) 28:737 742 DOI 10.1007/s00373-011-1074-6 ORIGINAL PAPER The Connectivity and Diameter of Second Order Circuit Graphs of Matroids Jinquan Xu Ping Li Hong-Jian Lai Received:

More information

Monochromatic Tree Partition for Complete. Multipartite Graphs

Monochromatic Tree Partition for Complete. Multipartite Graphs Int. J. Contemp. Math. Sciences, Vol. 6, 2011, no. 43, 2129-2134 Monochromatic Tree Partition for Complete Multipartite Graphs Shili Wen and Peipei Zhu Department of Mathematics Zhejiang Normal University

More information

Star Decompositions of the Complete Split Graph

Star Decompositions of the Complete Split Graph University of Dayton ecommons Honors Theses University Honors Program 4-016 Star Decompositions of the Complete Split Graph Adam C. Volk Follow this and additional works at: https://ecommons.udayton.edu/uhp_theses

More information

Section 3.1: Nonseparable Graphs Cut vertex of a connected graph G: A vertex x G such that G x is not connected. Theorem 3.1, p. 57: Every connected

Section 3.1: Nonseparable Graphs Cut vertex of a connected graph G: A vertex x G such that G x is not connected. Theorem 3.1, p. 57: Every connected Section 3.1: Nonseparable Graphs Cut vertex of a connected graph G: A vertex x G such that G x is not connected. Theorem 3.1, p. 57: Every connected graph G with at least 2 vertices contains at least 2

More information

Connectivity, Graph Minors, and Subgraph Multiplicity

Connectivity, Graph Minors, and Subgraph Multiplicity Connectivity, Graph Minors, and Subgraph Multiplicity David Eppstein Department of Information and Computer Science University of California, Irvine, CA 92717 Tech. Report 92-06 January 10, 1992 Abstract

More information

Modular Representations of Graphs

Modular Representations of Graphs Modular Representations of Graphs Crystal Altamirano, Stephanie Angus, Lauren Brown, Joseph Crawford, and Laura Gioco July 2011 Abstract A graph G has a representation modulo r if there exists an injective

More information

Graph Isomorphism Completeness for Chordal bipartite graphs and Strongly Chordal Graphs

Graph Isomorphism Completeness for Chordal bipartite graphs and Strongly Chordal Graphs Graph Isomorphism Completeness for Chordal bipartite graphs and Strongly Chordal Graphs Ryuhei Uehara a Seinosuke Toda b Takayuki Nagoya c a Natural Science Faculty, Komazawa University. 1 b Department

More information

ACYCLIC COLORING ON TRIPLE STAR GRAPH FAMILIES

ACYCLIC COLORING ON TRIPLE STAR GRAPH FAMILIES ACYCLIC COLORING ON TRIPLE STAR GRAPH FAMILIES Abstract 1 D.Vijayalakshmi Assistant Professor Department of Mathematics Kongunadu Arts and Science College Coimbatore 2 K. Selvamani, Research Scholars Department

More information

Math 778S Spectral Graph Theory Handout #2: Basic graph theory

Math 778S Spectral Graph Theory Handout #2: Basic graph theory Math 778S Spectral Graph Theory Handout #: Basic graph theory Graph theory was founded by the great Swiss mathematician Leonhard Euler (1707-178) after he solved the Königsberg Bridge problem: Is it possible

More information

Multiple Vertex Coverings by Cliques

Multiple Vertex Coverings by Cliques Multiple Vertex Coverings by Cliques Wayne Goddard Department of Computer Science University of Natal Durban, 4041 South Africa Michael A. Henning Department of Mathematics University of Natal Private

More information

Decomposition of Complete Graphs. into Union of Stars

Decomposition of Complete Graphs. into Union of Stars Int. J. Contemp. Math. Sciences, Vol. 9, 2014, no. 1, 11-17 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ijcms.2014.310114 Decomposition of Complete Graphs into Union of Stars Ancykutty Joseph*

More information

Bipartite Roots of Graphs

Bipartite Roots of Graphs Bipartite Roots of Graphs Lap Chi Lau Department of Computer Science University of Toronto Graph H is a root of graph G if there exists a positive integer k such that x and y are adjacent in G if and only

More information

Vertex-Colouring Edge-Weightings

Vertex-Colouring Edge-Weightings Vertex-Colouring Edge-Weightings L. Addario-Berry a, K. Dalal a, C. McDiarmid b, B. A. Reed a and A. Thomason c a School of Computer Science, McGill University, University St. Montreal, QC, H3A A7, Canada

More information

ON THE STRUCTURE OF SELF-COMPLEMENTARY GRAPHS ROBERT MOLINA DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE ALMA COLLEGE ABSTRACT

ON THE STRUCTURE OF SELF-COMPLEMENTARY GRAPHS ROBERT MOLINA DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE ALMA COLLEGE ABSTRACT ON THE STRUCTURE OF SELF-COMPLEMENTARY GRAPHS ROBERT MOLINA DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE ALMA COLLEGE ABSTRACT A graph G is self complementary if it is isomorphic to its complement G.

More information

Eulerian subgraphs containing given edges

Eulerian subgraphs containing given edges Discrete Mathematics 230 (2001) 63 69 www.elsevier.com/locate/disc Eulerian subgraphs containing given edges Hong-Jian Lai Department of Mathematics, West Virginia University, P.O. Box. 6310, Morgantown,

More information

On graph decompositions modulo k

On graph decompositions modulo k On graph decompositions modulo k A.D. Scott Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, 16 Mill Lane, Cambridge, CB2 1SB, England. Abstract. We prove that, for

More information

Vertex Deletion games with Parity rules

Vertex Deletion games with Parity rules Vertex Deletion games with Parity rules Richard J. Nowakowski 1 Department of Mathematics, Dalhousie University, Halifax, Nova Scotia, Canada rjn@mathstat.dal.ca Paul Ottaway Department of Mathematics,

More information

Note A further extension of Yap s construction for -critical graphs. Zi-Xia Song

Note A further extension of Yap s construction for -critical graphs. Zi-Xia Song Discrete Mathematics 243 (2002) 283 290 www.elsevier.com/locate/disc Note A further extension of Yap s construction for -critical graphs Zi-Xia Song Department of Mathematics, National University of Singapore,

More information

On Sequential Topogenic Graphs

On Sequential Topogenic Graphs Int. J. Contemp. Math. Sciences, Vol. 5, 2010, no. 36, 1799-1805 On Sequential Topogenic Graphs Bindhu K. Thomas, K. A. Germina and Jisha Elizabath Joy Research Center & PG Department of Mathematics Mary

More information

Star Forests, Dominating Sets and Ramsey-type Problems

Star Forests, Dominating Sets and Ramsey-type Problems Star Forests, Dominating Sets and Ramsey-type Problems Sheila Ferneyhough a, Ruth Haas b,denis Hanson c,1 and Gary MacGillivray a,1 a Department of Mathematics and Statistics, University of Victoria, P.O.

More information

DO NOT RE-DISTRIBUTE THIS SOLUTION FILE

DO NOT RE-DISTRIBUTE THIS SOLUTION FILE Professor Kindred Math 104, Graph Theory Homework 2 Solutions February 7, 2013 Introduction to Graph Theory, West Section 1.2: 26, 38, 42 Section 1.3: 14, 18 Section 2.1: 26, 29, 30 DO NOT RE-DISTRIBUTE

More information

Extremal Graph Theory. Ajit A. Diwan Department of Computer Science and Engineering, I. I. T. Bombay.

Extremal Graph Theory. Ajit A. Diwan Department of Computer Science and Engineering, I. I. T. Bombay. Extremal Graph Theory Ajit A. Diwan Department of Computer Science and Engineering, I. I. T. Bombay. Email: aad@cse.iitb.ac.in Basic Question Let H be a fixed graph. What is the maximum number of edges

More information

Module 7. Independent sets, coverings. and matchings. Contents

Module 7. Independent sets, coverings. and matchings. Contents Module 7 Independent sets, coverings Contents and matchings 7.1 Introduction.......................... 152 7.2 Independent sets and coverings: basic equations..... 152 7.3 Matchings in bipartite graphs................

More information

Non-extendible finite polycycles

Non-extendible finite polycycles Izvestiya: Mathematics 70:3 1 18 Izvestiya RAN : Ser. Mat. 70:3 3 22 c 2006 RAS(DoM) and LMS DOI 10.1070/IM2006v170n01ABEH002301 Non-extendible finite polycycles M. Deza, S. V. Shpectorov, M. I. Shtogrin

More information

THE INSULATION SEQUENCE OF A GRAPH

THE INSULATION SEQUENCE OF A GRAPH THE INSULATION SEQUENCE OF A GRAPH ELENA GRIGORESCU Abstract. In a graph G, a k-insulated set S is a subset of the vertices of G such that every vertex in S is adjacent to at most k vertices in S, and

More information

ON THE NON-(p 1)-PARTITE K p -FREE GRAPHS

ON THE NON-(p 1)-PARTITE K p -FREE GRAPHS Discussiones Mathematicae Graph Theory 33 (013) 9 3 doi:10.7151/dmgt.1654 Dedicated to the 70th Birthday of Mieczys law Borowiecki ON THE NON-(p 1)-PARTITE K p -FREE GRAPHS Kinnari Amin Department of Mathematics,

More information

Sparse Hypercube 3-Spanners

Sparse Hypercube 3-Spanners Sparse Hypercube 3-Spanners W. Duckworth and M. Zito Department of Mathematics and Statistics, University of Melbourne, Parkville, Victoria 3052, Australia Department of Computer Science, University of

More information

Graph Theory S 1 I 2 I 1 S 2 I 1 I 2

Graph Theory S 1 I 2 I 1 S 2 I 1 I 2 Graph Theory S I I S S I I S Graphs Definition A graph G is a pair consisting of a vertex set V (G), and an edge set E(G) ( ) V (G). x and y are the endpoints of edge e = {x, y}. They are called adjacent

More information

FOUR EDGE-INDEPENDENT SPANNING TREES 1

FOUR EDGE-INDEPENDENT SPANNING TREES 1 FOUR EDGE-INDEPENDENT SPANNING TREES 1 Alexander Hoyer and Robin Thomas School of Mathematics Georgia Institute of Technology Atlanta, Georgia 30332-0160, USA ABSTRACT We prove an ear-decomposition theorem

More information

Packing and covering the complete graph with cubes*

Packing and covering the complete graph with cubes* Packing and covering the complete graph with cubes* Peter Adams and Darryn E. Bryant Department of Mathematics The University of Queensland Queensland 4072, Australia Saad I. EI-Zanati Department of Mathematics

More information

Wu, Y.-Q., The reducibility of surgered 3-manifolds, Topology and its Applications 43 (1992)

Wu, Y.-Q., The reducibility of surgered 3-manifolds, Topology and its Applications 43 (1992) Topology and its Applications 43 (1992) 213-218 North-Holland 213 The reducibility Smanifolds of surgered Ying-Qing Wu Department of Mathematics, University of Texas at Austin, Austin, TX 78712, USA; and

More information

HOMEWORK #4 SOLUTIONS - MATH (1) (a) Prove that the chromatic polynomial of any tree with s vertices is. k(k 1) s 1

HOMEWORK #4 SOLUTIONS - MATH (1) (a) Prove that the chromatic polynomial of any tree with s vertices is. k(k 1) s 1 HOMEWORK #4 SOLUTIONS - MATH 3260 ASSIGNED: MARCH 19, 2003 DUE: APRIL 4, 2003 AT 2:30PM (1) (a) Prove that the chromatic polynomial of any tree with s vertices is k(k 1) s 1 Solution: Pick any vertex of

More information

MAXIMAL PLANAR SUBGRAPHS OF FIXED GIRTH IN RANDOM GRAPHS

MAXIMAL PLANAR SUBGRAPHS OF FIXED GIRTH IN RANDOM GRAPHS MAXIMAL PLANAR SUBGRAPHS OF FIXED GIRTH IN RANDOM GRAPHS MANUEL FERNÁNDEZ, NICHOLAS SIEGER, AND MICHAEL TAIT Abstract. In 99, Bollobás and Frieze showed that the threshold for G n,p to contain a spanning

More information

Subdivisions of Graphs: A Generalization of Paths and Cycles

Subdivisions of Graphs: A Generalization of Paths and Cycles Subdivisions of Graphs: A Generalization of Paths and Cycles Ch. Sobhan Babu and Ajit A. Diwan Department of Computer Science and Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076,

More information

Decreasing the Diameter of Bounded Degree Graphs

Decreasing the Diameter of Bounded Degree Graphs Decreasing the Diameter of Bounded Degree Graphs Noga Alon András Gyárfás Miklós Ruszinkó February, 00 To the memory of Paul Erdős Abstract Let f d (G) denote the minimum number of edges that have to be

More information

Edge disjoint monochromatic triangles in 2-colored graphs

Edge disjoint monochromatic triangles in 2-colored graphs Discrete Mathematics 31 (001) 135 141 www.elsevier.com/locate/disc Edge disjoint monochromatic triangles in -colored graphs P. Erdős a, R.J. Faudree b; ;1, R.J. Gould c;, M.S. Jacobson d;3, J. Lehel d;

More information

Equitable Colouring of Certain Double Vertex Graphs

Equitable Colouring of Certain Double Vertex Graphs Volume 118 No. 23 2018, 147-154 ISSN: 1314-3395 (on-line version) url: http://acadpubl.eu/hub ijpam.eu Equitable Colouring of Certain Double Vertex Graphs Venugopal P 1, Padmapriya N 2, Thilshath A 3 1,2,3

More information

Partitioning Complete Multipartite Graphs by Monochromatic Trees

Partitioning Complete Multipartite Graphs by Monochromatic Trees Partitioning Complete Multipartite Graphs by Monochromatic Trees Atsushi Kaneko, M.Kano 1 and Kazuhiro Suzuki 1 1 Department of Computer and Information Sciences Ibaraki University, Hitachi 316-8511 Japan

More information

A graph is finite if its vertex set and edge set are finite. We call a graph with just one vertex trivial and all other graphs nontrivial.

A graph is finite if its vertex set and edge set are finite. We call a graph with just one vertex trivial and all other graphs nontrivial. 2301-670 Graph theory 1.1 What is a graph? 1 st semester 2550 1 1.1. What is a graph? 1.1.2. Definition. A graph G is a triple (V(G), E(G), ψ G ) consisting of V(G) of vertices, a set E(G), disjoint from

More information

A Note on Vertex Arboricity of Toroidal Graphs without 7-Cycles 1

A Note on Vertex Arboricity of Toroidal Graphs without 7-Cycles 1 International Mathematical Forum, Vol. 11, 016, no. 14, 679-686 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.1988/imf.016.667 A Note on Vertex Arboricity of Toroidal Graphs without 7-Cycles 1 Haihui

More information

Characterizing Randomly -Decomposable Graphs for Abstract 1. Introduction size end vertices internal vertices subgraph decomposition decomposable

Characterizing Randomly -Decomposable Graphs for Abstract 1. Introduction size end vertices internal vertices subgraph decomposition decomposable Characterizing Randomly P k -Decomposable Graphs for k 9 Robert Molina, Alma College Myles McNally, Alma College Ken Smith, Central Michigan University Abstract A graph G is randomly H decomposable if

More information

Here, we present efficient algorithms vertex- and edge-coloring graphs of the

Here, we present efficient algorithms vertex- and edge-coloring graphs of the SIAM J. ALG. DISC. METH. Vol. 7, No. 1, January 1986 (C) 1986 Society for Industrial and Applied Mathematics 016 EFFICIENT VERTEX- AND EDGE-COLORING OF OUTERPLANAR GRAPHS* ANDRZEJ PROSKUROWSKIf AND MACIEJ

More information

GRAPH THEORY and APPLICATIONS. Planar Graphs

GRAPH THEORY and APPLICATIONS. Planar Graphs GRAPH THEORY and APPLICATIONS Planar Graphs Planar Graph A graph is planar if it can be drawn on a plane surface with no two edges intersecting. G is said to be embedded in the plane. We can extend the

More information

Some Upper Bounds for Signed Star Domination Number of Graphs. S. Akbari, A. Norouzi-Fard, A. Rezaei, R. Rotabi, S. Sabour.

Some Upper Bounds for Signed Star Domination Number of Graphs. S. Akbari, A. Norouzi-Fard, A. Rezaei, R. Rotabi, S. Sabour. Some Upper Bounds for Signed Star Domination Number of Graphs S. Akbari, A. Norouzi-Fard, A. Rezaei, R. Rotabi, S. Sabour Abstract Let G be a graph with the vertex set V (G) and edge set E(G). A function

More information

Colored Saturation Parameters for Rainbow Subgraphs

Colored Saturation Parameters for Rainbow Subgraphs Colored Saturation Parameters for Rainbow Subgraphs Michael Barrus 1, Michael Ferrara, Jennifer Vandenbussche 3, and Paul S. Wenger 4 December 30, 014 Abstract Inspired by a 1987 result of Hanson and Toft

More information

Note: Simultaneous Graph Parameters: Factor Domination and Factor Total Domination

Note: Simultaneous Graph Parameters: Factor Domination and Factor Total Domination Note: Simultaneous Graph Parameters: Factor Domination and Factor Total Domination Peter Dankelmann a Michael A. Henning b Wayne Goddard c Renu Laskar d a School of Mathematical Sciences, University of

More information

Bar k-visibility Graphs

Bar k-visibility Graphs Bar k-visibility Graphs Alice M. Dean Department of Mathematics Skidmore College adean@skidmore.edu William Evans Department of Computer Science University of British Columbia will@cs.ubc.ca Ellen Gethner

More information

SPANNING MAXIMAL PLANAR SUBGRAPHS OF RANDOM GRAPHS

SPANNING MAXIMAL PLANAR SUBGRAPHS OF RANDOM GRAPHS SPANNING MAXIMAL PLANAR SUBGRAPHS OF RANDOM GRAPHS by B. Bollobas and A. M. Frieze Department of Mathematics Carnegie Mellon University Pittsburgh, PA 15213 Research Report No. 90-73 February 1990 510.6

More information

Theorem 3.1 (Berge) A matching M in G is maximum if and only if there is no M- augmenting path.

Theorem 3.1 (Berge) A matching M in G is maximum if and only if there is no M- augmenting path. 3 Matchings Hall s Theorem Matching: A matching in G is a subset M E(G) so that no edge in M is a loop, and no two edges in M are incident with a common vertex. A matching M is maximal if there is no matching

More information

What is Graph Theory?

What is Graph Theory? What is Graph Theory? by K. A. Al-Wahabi Math. Dept., Qatar University " Qatar Univ., Sci. Bull. Vol. 2, No. 1, 1982 l. Historical Note Graph theory has its roots in applied mathematics. The earliest recorded

More information

SPERNER S LEMMA MOOR XU

SPERNER S LEMMA MOOR XU SPERNER S LEMMA MOOR XU Abstract. Is it possible to dissect a square into an odd number of triangles of equal area? This question was first answered by Paul Monsky in 970, and the solution requires elements

More information

The competition numbers of complete tripartite graphs

The competition numbers of complete tripartite graphs The competition numbers of complete tripartite graphs SUH-RYUNG KIM Department of Mathematics Education, Seoul National University, 151-742, Korea srkim@snuackr YOSHIO SANO Research Institute for Mathematical

More information

On competition numbers of complete multipartite graphs with partite sets of equal size. Boram PARK, Suh-Ryung KIM, and Yoshio SANO.

On competition numbers of complete multipartite graphs with partite sets of equal size. Boram PARK, Suh-Ryung KIM, and Yoshio SANO. RIMS-1644 On competition numbers of complete multipartite graphs with partite sets of equal size By Boram PARK, Suh-Ryung KIM, and Yoshio SANO October 2008 RESEARCH INSTITUTE FOR MATHEMATICAL SCIENCES

More information

Bar k-visibility Graphs

Bar k-visibility Graphs Journal of Graph Algorithms and Applications http://jgaa.info/ vol. 11, no. 1, pp. 45 59 (2007) Bar k-visibility Graphs Alice M. Dean Department of Mathematics and Computer Science, Skidmore College http://www.skidmore.edu/

More information

Chromatic Transversal Domatic Number of Graphs

Chromatic Transversal Domatic Number of Graphs International Mathematical Forum, 5, 010, no. 13, 639-648 Chromatic Transversal Domatic Number of Graphs L. Benedict Michael Raj 1, S. K. Ayyaswamy and I. Sahul Hamid 3 1 Department of Mathematics, St.

More information

Number Theory and Graph Theory

Number Theory and Graph Theory 1 Number Theory and Graph Theory Chapter 6 Basic concepts and definitions of graph theory By A. Satyanarayana Reddy Department of Mathematics Shiv Nadar University Uttar Pradesh, India E-mail: satya8118@gmail.com

More information

Zero-Sum Flow Numbers of Triangular Grids

Zero-Sum Flow Numbers of Triangular Grids Zero-Sum Flow Numbers of Triangular Grids Tao-Ming Wang 1,, Shih-Wei Hu 2, and Guang-Hui Zhang 3 1 Department of Applied Mathematics Tunghai University, Taichung, Taiwan, ROC 2 Institute of Information

More information

Perfect Matchings in Claw-free Cubic Graphs

Perfect Matchings in Claw-free Cubic Graphs Perfect Matchings in Claw-free Cubic Graphs Sang-il Oum Department of Mathematical Sciences KAIST, Daejeon, 305-701, Republic of Korea sangil@kaist.edu Submitted: Nov 9, 2009; Accepted: Mar 7, 2011; Published:

More information

Variation of Graceful Labeling on Disjoint Union of two Subdivided Shell Graphs

Variation of Graceful Labeling on Disjoint Union of two Subdivided Shell Graphs Annals of Pure and Applied Mathematics Vol. 8, No., 014, 19-5 ISSN: 79-087X (P), 79-0888(online) Published on 17 December 014 www.researchmathsci.org Annals of Variation of Graceful Labeling on Disjoint

More information

Graphs and Combinatorics

Graphs and Combinatorics Graphs and Combinatorics (1997) 13: 189-196 Graphs and Combinatorics Springer-Verlag 1997 Decomposition of the Flow Polynomial K. Sekine' and C.Q. Zhangj" 1 Department ofinformation Science, University

More information