The Subgraph Summability Number of a Biclique
|
|
- Amice Moody
- 5 years ago
- Views:
Transcription
1 The Subgraph Summability Number of a Biclique Sivaram Narayan Department of Mathematics Central Michigan University Mt. Pleasant, MI sivaram.narayan@cmich.edu Janae Eustice Russell* Central Michigan University Mt. Pleasant, MI Ken W. Smith Department of Mathematics Central Michigan University Mt. Pleasant, MI ken.w.smith@cmich.edu *This author thanks Central Michigan University for a Summer Research Scholarship to work on this project in summer 2001 when she was an undergraduate student. Abstract The subgraph summability number, σ(g), of a connected graph G is the largest integer defined by labeling the vertices of the graph so that the label sums of connected induced subgraphs cover the interval [1..σ(G)]. In this paper we examine the summability number of the biclique K r,s. 1 Introduction A vertex labeling α of a graph G assigns to each vertex x apositive integer α(x). Avertexlabelingnaturallyliftstoalabelingofsubsets 1
2 of vertices: if S is a set of vertices then define α(s) := s S α(s). Similarly, if H is a subgraph of G and V (H) isthesetofverticesof H, defineα(h) :=α(v (H)). We write x y to indicate that vertex x is adjacent to y and thus xy is an edge. In this paper we examine the family of connected induced subgraphs of a graph G and questions associated with the labelings of these subgraphs. The graphs in this paper will be simple graphs, without loops. For an introduction to the theory of graphs, and the basic terminology, see [1] or [2]. A nice summary of vertex labeling problems may be found in Gallian s papers ([3], [4].) If S is a set of vertices of G, wesays is a connected vertex set if the subgraph induced by S is connected. Set equal to the set of connected vertex sets. The number of connected induced subgraphs of a graph G will be denoted by c(g) :=. Let [1..N] representthesetofintegersfrom1ton inclusive. A labeling α of (the vertices of) a graph G is an N-labeling if [1..N] {α(h) :V (H) }. The largest integer N for which G has an N-labeling is called the subgraph summability number of G and is denoted by σ(g) (see [5], [6].) If, in addition, N = α(g), we say α is a restricted labeling and speak of the restricted summability number σ (G) =N. Clearly c(g) σ(g) σ (G). Given an N-labeling α of a graph G, theremaybesubgraphsh of G such that α(h) >N.The number of such graphs is the excess of the labeling α. We denote the excess by e(α) := {H : V (H) and α(h) >N}. If α is a restricted labeling then e(α) =0. There may also be subgraphs H 1 and H 2 such that α(h 1) = α(h 2) N. The redundancy, r(α), of the N-labeling α, isthe difference between the cardinality of {H : α(h) N} and N. If α is an N-labeling of a graph G then clearly c(g) =N + e(α)+r(α). Alabelingα is sharp if c(g) =σ (G). In a sharp labeling, e(α) = r(α) =0andsothereisaone-to-onecorrespondencebetweenthe integers [1..N] andtheconnectedsubgraphsofg. Anopenquestion in the study of summability numbers is the classification of graphs for which there is a sharp labeling. Examples 1. Let G be the cycle C 4,withverticesx 1 x 2 x 3 x 4 x 1. This graph has 13 connected induced subgraphs, so c(g) =13. The labeling α(x 1)=1, α(x 2)=2, α(x 3)=6, α(x 4)=4has redundancy zero and is a sharp labeling. So is the labeling 1, 3, 2, 7, in that order. 2. Consider the path of length three, with vertices labeled, in order, 3, 1, 5, and 2. The path P 3 has 10 connected subgraphs. This 9-labeling is optimal. It has excess equal to one (α(p 3)=11.) Soσ(P 3) 9. Another 9-labeling of P 3 is 1,
3 3, 3, and 2, in that order. This labeling has excess zero and redundancy one. Thus σ (P 3) 9. One can show that there is no 10-labeling of P 3 and so σ(p 3)=σ (P 3)=9. 3. The path P 6 has 28 connected induced subgraphs. Label the seven vertices of the path of length six with the integers 8, 7, 2, 3, 1, 10, 8, in that order. This is a 24-labeling of P 6 with excess 3 and redundancy 1. This is the only 24-labeling; there is no 25-labeling for P 6.Thereforeσ(P 6)=24. Note that α(p 6)=39, so the restricted summability number of P 6 is lower than 24. Indeed σ (P 6)is23;thelabelings[2, 3, 3, 4, 9, 1, 1] and [2, 3, 2, 6, 6, 3, 1] are 23-labelings for P Consider the bipartite graph K 3,3. Label the vertices of one coclique 1, 2, 23 and the vertices of the other coclique 3, 6, 13. This is a 48-labeling with redundancy 7. We will show this labeling is optimal and that σ (K 3,3) =48. 2 The restricted summability number of a biclique Abiclique(orcompletebipartitegraph)K r,s has two disjoint sets of vertices, A = {a 1,...,a r} of size r and B = {b 1...,b s} of size s such that each set consists of pairwise nonadjacent vertices and two vertices belonging to different sets are adjacent. Penrice (in [5]) showed that σ(k 1,s) =2 s +2. This labeling may be achieved by labeling the vertices of the s-coclique B by powers of 2: 1, 2, 4,...,2 s 1 and then labeling the single vertex a 1 of degree s with the number 3. Let T be any of the 2 s subsets of B (including the empty set.) T {a 1} is a connected vertex set. In addition, the singletons {b j} are also in. Thus the number of connected induced subgraphs of K 1,s is 2 s + s and so Penrice s solution has redundancy s 2. (The repeated values are powers of 2: 2 i, 2 i s 1.) Note that c(k 1,s) growsexponentiallyins. Penricedemonstrated that no N-labeling has smaller redundancy using an S + T argument. Suppose S and T are disjoint subsets of B such that α(s) = α(t). For any U B, U disjoint from S T, the sets (S {a 1}) U and (T {a 1}) U have the same label sum. Thus there are at least 2 s ( S + T ) pairs of subgraphs with the same value and so r(α) 2 s ( S + T ). If S + T is small, we would expect 2 s ( S + T ) to be greater than s 2. We will use this argument repeatedly in this paper. We begin with two sets S and T such that α(s) =α(t). Call them an initial redundant pair. Beginning with such a pair, we create additional redundant pairs (S U) and(t U) toforcetheredundancytobe large.
4 Our goal is to prove the following theorem. Theorem 1. Let G be the complete bipartite graph K r,s, withs r 2. Then σ (K r,s) =3(2 r+s 2 ) 2 r Note that c(k r,s) =(2 r 1 )(2 s 1 )+r + s =4(2 r+s 2 ) 2 r 2 s + r + s +1. (Choose any nonempty subset of A and nonempty subset of B; thischoicewillgiveaconnectedvertexset. Indeedallconnected vertex sets of size 2 or greater are formed this way. To this list we add the singletons, the r + s vertices.) If G n = K n,n then σ (G n) c(g n) approaches 3 as n goes to infinity. This 4 is the first example known to the authors of a sequence of graphs where σ (G n) c(g n) is bounded away from 1. We conjecture that σ (K r,s) =σ(k r,s). Given a labeling α, ordertheverticesoftheseta so that α(a i) α(a i+1), 1 i r 1andsimilarlyordertheverticesofB so that α(b j) α(b j+1), 1 j s 1. We will abbreviate the labeling by writing α := (α(a 1),α(a 2),...,α(a r); α(b 1),α(b 2),...,α(b s)). For example, an optimal labeling of the 4-cycle K 2,2 is α = (1, 2; 3, 7). In an earlier example, we found σ(k 3,3) =48usingthe labeling (1, 2, 23; 3, 6, 13). Similarly, the labeling (1, 2; 3, 6, 12, 25) gives σ(k 2,4) =49. We first let r =2andconstructtheoptimumlabelingforK 2,s. We assume one coclique has vertices A = {a 1,a 2} and the other has vertices B := {b 1,b 2,...,b r}. Set J s := 3(2 s ) 1. Lemma 2. Let G be the complete bipartite graph K 2,s, with s 2. Then σ(k 2,s) =3(2 s )+1=J s +2. In addition, if s 3, any 3(2 s )-labeling of K 2,s can be transformed into a (3(2 s )+1)-labeling byraisingbyone the value ofthe largest label. Proof of Lemma 2. We label a 1,a 2 with the integers 1 and 2; we label b 1,b 2,...b s 1 with the integers 3, 6, 12,...,3 2 s 2,andfinallylabelb s with 3 2 s We first show that the labels of the connected induced subgraphs cover the interval [1..3(2 s )+1]. Note that each integer of the form 3 2 i 1, 1 i s 1isthevalueofasinglevertexb i and also the value of a subgraph on the vertices a 1,a 2,b 1,...b i 1.
5 Given an integer X in this interval, we create a connected vertex set W as follows. If X 3 2 s 1 +1, then choose the vertex b s to be in W and replace X by X 1 := X (3 2 s 1 +1). Otherwise X 1 = X. If X 1 3(2 s 2 ), place b s 1 in the vertex set W and set X 2 = X 1 3(2 s 2 ); otherwise X 2 = X 1. We will continue in this manner until we achieve an integer X s 2 which is 0, 1, or 2. If X s 2 is 1 or 2, place a 1 or a 2 into W. If X s 2 is zero, choose the smallest value of i such that b i is in W and replace b i by a 1,a 2,b 1,...,b i 1. The vertex set W so created will have value X and will be connected. This labeling demonstrates that σ (K 2,s) 3(2 s )+1. Is this labeling maximal? The redundancy is s 2. We will show that any other restricted labeling must have redundancy at least this large. Any labeling will require a vertex with label 1. We first note that there cannot be two vertices labeled 1 in an optimum labeling. (This is an example of Penrice s S + T argument.) If there are two adjacent vertices labeled with 1 (say a 1 and b 1)then{a 1,a 2,b 2} and {b 1,a 2,b 2} form an initial redundant pair of vertices for the labeling α. This generates 2 s 1 redundant pairs {{a 1,a 2} T, {b 1,a 2} T} where T is any subset {b i :3 i s}. Thus the redundancy is at least 2 s 2 > s 2 if s > 2. Similarly, if α(a 1) = α(a 2) = 1 then {a 1}, {a 2} form an initial redundant pair and r(α) 2 s ; if α(b 1)=α(b 2)=1then{a 1,b 1}, {a 1,b 2} form an initial redundant pair and r(α) 2 s 2. Thus in an optimum labeling there is only one vertex labeled by 1 and so there must be a vertex labeled 2. Now we examine a certain 4-cycle x 1 x 2 x 3 x 4 x 1 containing the vertices labeled 1 and 2 with α(x 1)=1. We consider two cases, depending on whether there is a vertex of the graph labeled 3. (Case 1.) Suppose there is a vertex labeled 3. We cannot have the vertices with labels 1, 2, and 3 all in the set B for if α(b 1)= 1,α(b 2)=2, and α(b 3)=3then{a 1,b 1,b 2} and {a 1,b 3} are an initial redundant pair and r(α) 3 2 s 3. If there is a vertex labeled 3, it is on a 4-cycle containing the vertices labeled 1 and 2. If α(x 2) = 2 and α(x 3) = 3 then {x 1,x 2} and {x 3} form an initial redundant pair and r(α) 2 s Similarly, if α(x 2)=2 and α(x 4)=3then{x l,x 2} and {x 4} form an initial redundant pair and force r(α) tobelarge. Thereforeα(x 3)=2andα(x 2)=3,that is, the graph has a path with vertex labels 1, 3, 2inthatorder. Suppose a 4-cycle has label (1, 3, 2,x 4). If α(x 4) 5thentherearetwosubgraphsofthe4-cyclewiththe same label sum and each of these subgraphs includes vertices from both cocliques. Thus, given any T B, T disjoint from the 4-cycle,
6 we may create two subgraphs with the same label sum and force r(α) 2 s If x 4 is labeled 6 then x 4 must be in B or we again have 2 s 2 redundant subgraph labels. But the labeling α =(1, 2; 3, 6,...)is fruitful and we will look at this further (below.) If x 4 =7thenwehaveasharplabeling(1, 3, 2, 7) of the 4-cycle on the vertices {x i}. Weattempttoextendthistoagoodlabelingof K 2,3. If the vertices of A = {a 1,a 2} are labeled 1 and 2 while b 1,b 2 are labeled 3 and 7 then there will not be a connected subgraphs with value α(b 3)+7 and so we must label b 3 with an integer less than 7. This contradicts our assumption about the ordering of the labels of the set B. If a 1,a 2 are labeled 3 and 7 while b 1,b 2 are labeled 1 and 2 then α(b 3) 11. If α(b 3) 11, then the redundancy is at least three and the three redundant pairs force r(α) > 2 s 2. If α(b 3)=11thenwehavea24-labelingforK 2,3. This labeling has redundancy two; two connected subgraphs bear the label 11 and another pair bear the label 21. This is not an optimal labeling for K 2,3 and if s>3, this labeling forces redundancy r(α) 2 s 3 +1> s 2. We digress for a moment to examine this labeling more carefully. Occasionally an optimal labeling of a graph G induces a less than optimal labeling on a subgraph. Is it possible to get good labelings for K r,s using this 24-labeling of K 2,3? In particular, is it possible that this labeling, where N = σ(k 2,3) 1, lifts to other labelings with value σ(k r,s) 1? For example, could this labeling (3, 7; 1, 2, 11) lead to a 48-labeling of K 2,4? No, for if α(b 4)=24thenwewillnothavesubgraphslabeled 25 or 26. Or could this lead to a 47-labeling of K 3,3? No, for there will not be a subgraph with label 30. So, although the labeling (3, 7; 1, 2, 11) is a 24-labeling of K 2,3, missingbyonetheoptimal value of N, anyn-labeling of a larger graph K r,s which has this subgraph label, will be far from optimal. We return to examining the case where (α(x 1) = 1,α(x 2) = 3,α(x 3)=2,α(x 4)) is the labeling of a 4-cycle. We have noted that α(x 4)=7completesasharplabelingforthe4-cyclebutthatthis labeling does not extend to a labeling of K 2,s for s 3. If we label x 4 with 8 or higher this will force the label of the vertex b 3 to be seven. If x 4 B and α(b 3)=7thenwehaveviolatedourassumptionabout the ordering of the labels of B. If x 4 B and α(b 3)=7thenthe redundancy will be too high. We conclude then that the only possible labeling for the 4-cycle x 1,x 2,x 3,x 4 is 1, 3, 2, 6, in that order, and the vertices x 1,x 3 are in the set A = {a 1,a 2} while x 2,x 4 are in the set B. The vertices of
7 A are labeled 1 and 2 while the first two vertices of B are labeled 3 and 6. We also conclude that (in this case, where there is a vertex labeled 3) any other labeling of a 1,a 2,b 1,b 2 leads to a value of N which in general differs from σ(k 2,s) bymorethan1. Now we assume the label is (1; 2; 3, 6,...)andconsidertheother vertices in B. Supposes>3andα(b 3)=X. If X<12 then there are redundant labelings in the subgraph on a 1,a 2,b 1,b 2,b 3, redundancies that lift to a family of redundancies in the larger graph G. IfX>12 then the integer X +α(b 4)willnotbealabelofasubgraph. (Ifweare too greedy in our labeling of b 3,wewillnotbeabletoappropriately label b 4.) Thus the vertex b 3 must be labeled 12. An argument by induction then shows that α(b j) 3 2 j 1 as long as j<s.however, the vertex b s may be labeled 3 2 s 1 +1 since there is not vertex b s+1 to worry about. Note that labeling b s+1 by 3 2 s 1 will give a 3(2 s )-labeling of K 2,s, oneshortofoptimal. (Case 2, there is no vertex labeled 3.) On the other hand, if there is no vertex labeled 3 then the vertices labeled by 1 and 2 must be adjacent and some vertex in the graph must be labeled 4. Now we have a 4-cycle x 1 x 2 x 3 x 4 x 1 such that α(x 1)=1,α(x 2)=2andeitherα(x 3)=4orα(x 4)=4. If α(x 3) = 4 then the connected vertex set {x 2,x 3} has value 6andavertexwithlabel5isnecessary. Iftheverticeslabeledby 1, 5 and 6 are all in B then we may join them to a 1 to create a redundant pair and force redundancy at least 3 2 s 3. If instead we have α(x 4)=5thentheredundantpair{x 1,x 4}, {x 2,x 3} force redundancy at least 2 s 2.(Asinanearliercase,onecanshowthat this 12-labeling of K 2,2 does not lift to a 24-labeling of K 2,3 and so in general the redundancy will be considerably higher.) If α(x 4)=4thentheconnectedvertexset{x 1,x 4} has value 5 and a vertex with label 6 is necessary. Thus we must give the 4-cycle on the x i asharplabeling1, 2, 6, 4. Can we extend the label (α(a 1),α(a 2); α(b 1),α(b 2)) = (1, 6; 2, 4) to a good labeling of K 2,s? The value α(b 3)+4 is not possible for any subgraph unless α(b 3) 9, so again we will get high redundancy unless the vertices labeled 1 and 6 are in B. Can we extend the label (α(a 1),α(a 2); α(b 1),α(b 2)) = (2, 4; 1, 6) to a good labeling of K 2,s? Yes. Once again we consider the vertex b 3 and argue that it must be labeled with 12. The inductive argument here is simpler; each vertex b j must be labeled 3 2 j 1,includingthelastvertexb s which is labeled 3 2 s 1. We are led to the labeling (2, 4; 1, 6, 12, 24,...,3 2 s 1 ) This offers a competing labeling for K 2,s; thisisalsoa3(2 s )+1 labeling of the graph. We may, if we wish, obtain a 3(2 s )-labeling of K 2,s by instead
8 setting α(b s)=3(2 s 1 ) 1; this is the only way to obtain a labeling which is one less than optimal. This proves the lemma. Proof of Theorem 1. We are now ready to prove the main theorem. As before, assume the vertices a 1,...,a r and b 1,...,b s are ordered so that α(a j+1) α(a j)andsimilarlyα(b j+1) α(b j). The optimum labeling for K r,s is obtained by first labeling the subgraph K 2,s as in case 1: α =(1, 2; 3, 6,...,3(2 s 2 ), 3(2 s 1 )+1). This is a J s +2-labeling. Wethenlabelthe remainingverticesina by setting α(a j)=2 j 3 J s, 3 j r. We show that this labeling is maximal by proving that any other labeling has a larger redundancy. The proof is by induction on r, the size of the coclique A. We know the result is true for r = 2. For r 3, set M := 2 r 3 J s +2 = 3(2 r+s 3 ) 2 r 3 +2 and assume that σ (K r 1,s) =M. In addition, justified by the proof of Lemma 2, we assume that any M 1labelingofK r 1,s cannot have two vertices of B labeled 1 and 2. We wish to show that σ(k r,s)=2m 2andthattheoptimal labeling occurs when a r is labeled M 2andthesubgraphK r 1,s receives the optimal labeling of M. Consider the graph K r,s and suppose it has an N-labeling α where N>2M 2. Set X := α(a r)andy := N X. We separate the proof into three cases. Case 1. α(k r 1,s) =Y > M. By our inductive assumption, the labeling on the subgraph K r 1,s does not cover the interval [1..M]. Thus X must be the smallest integer in [1..M] notin{α(h)} where H ranges over the subgraphs of K r 1,s. If 2X is in {α(h)} then 2X Y. Now N = X + Y 3 Y. 2 However, since we are examining the restricted summability number, X must be the only integer in the interval [1..Y ]notrepresentedby asubgraphofk r 1,s and so the interval [1..Y ]isboundedaboveby c(k r 1,s)+1=2 r+s 1 2 r 1 2 s + r + s +1. But we are assuming that N 2M 1 =3(2 r+s 2 ) 2 s Thus 3(2 r+s 2 ) 2 s 2 +3 X + Y 3 Y (2r+s 1 2 r 1 2 s + r + s +1), which is impossible if s r>2. On the other hand, if 2X is not in {α(h)} then since no subgraph has label 2X, wemusthave2x>2m 1andthereforeX M. Since X was the smallest integer not represented by a connected subgraph of K r 1,s, α must be an M 1labelingonK r 1,s and X = M. However, no such labeling allows α(b 1)=1andα(b 2)=2. Thus X +1 or X +2isnot represented byaconnected subgraph of K r,s.
9 Case 2. Suppose α(k r 1,s) =M. Then X M. In order to obtain graphs with labels in the interval M +1,...,2M 1, the labeling on K r 1,s must then be an M-labeling and yet, to represent the integers X +1and X +2, we must have α(b 1)=1andα(b 2)=2, contradicting our inductive assumption. Case 3. Suppose α(k r 1,s) <M.Then X M. But if X M +1, there is no subgraph with label M and so we must have X = M while α(k r 1,s) =M 1. To obtain the values X +1 and X +2we must have α(b 1)=1andα(b 2)=2, while still having an M 1labelingonK r 1,s. Againthiscontradictsourassumption. We conclude, therefore, that the optimum labeling is the 2M 2 labeling given above.. Comment. We have shown that σ (K r,s)=3(2 r+s 2 ) 2 r Is it possible to label K r,s so that σ(k r,s) > 3(2 r+s 2 ) 2 r 2 +2? References [1] Bollobás Béla, Modern Graph Theory, Springer-Verlag, [2] Diestel, Reinhard, Graph Theory, Springer-Verlag, [3] Gallian, Joseph, A survey: recent results, conjectures, and open problems in labeling graphs. J. Graph Th. 13, , [4] Gallian,Joseph, A dynamic survey of graph labeling. Electron. J. Combin., #DS6, [5] Penrice, Stephen, Some new graph labeling problems: a preliminary report, DIMACS, preprint, [6] West, Douglas, SIAM Activity Group newsletter in Discrete Mathematics, Open Problem # 22, 1996.
AKCE INTERNATIONAL JOURNAL OF GRAPHS AND COMBINATORICS
Reprinted from AKCE INTERNATIONAL JOURNAL OF GRAPHS AND COMBINATORICS AKCE Int. J. Graphs Comb., 9, No. (01, pp. 135-13 Subgraph Summability Number of Paths and Cycles Communicated by: J.A. Gallian Received
More informationMonochromatic loose-cycle partitions in hypergraphs
Monochromatic loose-cycle partitions in hypergraphs András Gyárfás Alfréd Rényi Institute of Mathematics Hungarian Academy of Sciences Budapest, P.O. Box 27 Budapest, H-364, Hungary gyarfas.andras@renyi.mta.hu
More informationCLAW-FREE 3-CONNECTED P 11 -FREE GRAPHS ARE HAMILTONIAN
CLAW-FREE 3-CONNECTED P 11 -FREE GRAPHS ARE HAMILTONIAN TOMASZ LUCZAK AND FLORIAN PFENDER Abstract. We show that every 3-connected claw-free graph which contains no induced copy of P 11 is hamiltonian.
More informationExtremal Graph Theory: Turán s Theorem
Bridgewater State University Virtual Commons - Bridgewater State University Honors Program Theses and Projects Undergraduate Honors Program 5-9-07 Extremal Graph Theory: Turán s Theorem Vincent Vascimini
More informationExtremal 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 informationarxiv: v2 [math.co] 13 Aug 2013
Orthogonality and minimality in the homology of locally finite graphs Reinhard Diestel Julian Pott arxiv:1307.0728v2 [math.co] 13 Aug 2013 August 14, 2013 Abstract Given a finite set E, a subset D E (viewed
More informationAbstract. A graph G is perfect if for every induced subgraph H of G, the chromatic number of H is equal to the size of the largest clique of H.
Abstract We discuss a class of graphs called perfect graphs. After defining them and getting intuition with a few simple examples (and one less simple example), we present a proof of the Weak Perfect Graph
More informationTheorem 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 informationOn Covering a Graph Optimally with Induced Subgraphs
On Covering a Graph Optimally with Induced Subgraphs Shripad Thite April 1, 006 Abstract We consider the problem of covering a graph with a given number of induced subgraphs so that the maximum number
More informationChordal deletion is fixed-parameter tractable
Chordal deletion is fixed-parameter tractable Dániel Marx Institut für Informatik, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany. dmarx@informatik.hu-berlin.de Abstract. It
More informationK 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 informationEDGE 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 informationSome Elementary Lower Bounds on the Matching Number of Bipartite Graphs
Some Elementary Lower Bounds on the Matching Number of Bipartite Graphs Ermelinda DeLaViña and Iride Gramajo Department of Computer and Mathematical Sciences University of Houston-Downtown Houston, Texas
More informationThe self-minor conjecture for infinite trees
The self-minor conjecture for infinite trees Julian Pott Abstract We prove Seymour s self-minor conjecture for infinite trees. 1. Introduction P. D. Seymour conjectured that every infinite graph is a proper
More informationThe Probabilistic Method
The Probabilistic Method Po-Shen Loh June 2010 1 Warm-up 1. (Russia 1996/4 In the Duma there are 1600 delegates, who have formed 16000 committees of 80 persons each. Prove that one can find two committees
More informationModule 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 informationHW Graph Theory SOLUTIONS (hbovik) - Q
1, Diestel 9.3: An arithmetic progression is an increasing sequence of numbers of the form a, a+d, a+ d, a + 3d.... Van der Waerden s theorem says that no matter how we partition the natural numbers into
More informationSmall Survey on Perfect Graphs
Small Survey on Perfect Graphs Michele Alberti ENS Lyon December 8, 2010 Abstract This is a small survey on the exciting world of Perfect Graphs. We will see when a graph is perfect and which are families
More informationIndependence Number and Cut-Vertices
Independence Number and Cut-Vertices Ryan Pepper University of Houston Downtown, Houston, Texas 7700 pepperr@uhd.edu Abstract We show that for any connected graph G, α(g) C(G) +1, where α(g) is the independence
More informationMultiple 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 informationLine Graphs and Circulants
Line Graphs and Circulants Jason Brown and Richard Hoshino Department of Mathematics and Statistics Dalhousie University Halifax, Nova Scotia, Canada B3H 3J5 Abstract The line graph of G, denoted L(G),
More informationNumber 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 informationOn vertex-coloring edge-weighting of graphs
Front. Math. China DOI 10.1007/s11464-009-0014-8 On vertex-coloring edge-weighting of graphs Hongliang LU 1, Xu YANG 1, Qinglin YU 1,2 1 Center for Combinatorics, Key Laboratory of Pure Mathematics and
More informationON SOME CONJECTURES OF GRIGGS AND GRAFFITI
ON SOME CONJECTURES OF GRIGGS AND GRAFFITI ERMELINDA DELAVINA, SIEMION FAJTLOWICZ, BILL WALLER Abstract. We discuss a conjecture of J. R. Griggs relating the maximum number of leaves in a spanning tree
More informationBipartite 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 informationStar 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 informationTHE 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 informationMichał Dębski. Uniwersytet Warszawski. On a topological relaxation of a conjecture of Erdős and Nešetřil
Michał Dębski Uniwersytet Warszawski On a topological relaxation of a conjecture of Erdős and Nešetřil Praca semestralna nr 3 (semestr letni 2012/13) Opiekun pracy: Tomasz Łuczak On a topological relaxation
More informationA Vizing-like theorem for union vertex-distinguishing edge coloring
A Vizing-like theorem for union vertex-distinguishing edge coloring Nicolas Bousquet, Antoine Dailly, Éric Duchêne, Hamamache Kheddouci, Aline Parreau Abstract We introduce a variant of the vertex-distinguishing
More informationTreewidth and graph minors
Treewidth and graph minors Lectures 9 and 10, December 29, 2011, January 5, 2012 We shall touch upon the theory of Graph Minors by Robertson and Seymour. This theory gives a very general condition under
More informationProgress Towards the Total Domination Game 3 4 -Conjecture
Progress Towards the Total Domination Game 3 4 -Conjecture 1 Michael A. Henning and 2 Douglas F. Rall 1 Department of Pure and Applied Mathematics University of Johannesburg Auckland Park, 2006 South Africa
More informationPACKING 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 informationSome 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 information5 Graphs
5 Graphs jacques@ucsd.edu Some of the putnam problems are to do with graphs. They do not assume more than a basic familiarity with the definitions and terminology of graph theory. 5.1 Basic definitions
More informationFundamental Properties of Graphs
Chapter three In many real-life situations we need to know how robust a graph that represents a certain network is, how edges or vertices can be removed without completely destroying the overall connectivity,
More information5 Matchings in Bipartite Graphs and Their Applications
5 Matchings in Bipartite Graphs and Their Applications 5.1 Matchings Definition 5.1 A matching M in a graph G is a set of edges of G, none of which is a loop, such that no two edges in M have a common
More information(Received Judy 13, 1971) (devised Nov. 12, 1971)
J. Math. Vol. 25, Soc. Japan No. 1, 1973 Minimal 2-regular digraphs with given girth By Mehdi BEHZAD (Received Judy 13, 1971) (devised Nov. 12, 1971) 1. Abstract. A digraph D is r-regular if degree v =
More informationProblem Set 2 Solutions
Problem Set 2 Solutions Graph Theory 2016 EPFL Frank de Zeeuw & Claudiu Valculescu 1. Prove that the following statements about a graph G are equivalent. - G is a tree; - G is minimally connected (it is
More informationMatching Algorithms. Proof. If a bipartite graph has a perfect matching, then it is easy to see that the right hand side is a necessary condition.
18.433 Combinatorial Optimization Matching Algorithms September 9,14,16 Lecturer: Santosh Vempala Given a graph G = (V, E), a matching M is a set of edges with the property that no two of the edges have
More informationBounds on the k-domination Number of a Graph
Bounds on the k-domination Number of a Graph Ermelinda DeLaViña a,1, Wayne Goddard b, Michael A. Henning c,, Ryan Pepper a,1, Emil R. Vaughan d a University of Houston Downtown b Clemson University c University
More informationMATH20902: Discrete Maths, Solutions to Problem Set 1. These solutions, as well as the corresponding problems, are available at
MATH20902: Discrete Maths, Solutions to Problem Set 1 These solutions, as well as the corresponding problems, are available at https://bit.ly/mancmathsdiscrete.. (1). The upper panel in the figure below
More informationRecognizing Interval Bigraphs by Forbidden Patterns
Recognizing Interval Bigraphs by Forbidden Patterns Arash Rafiey Simon Fraser University, Vancouver, Canada, and Indiana State University, IN, USA arashr@sfu.ca, arash.rafiey@indstate.edu Abstract Let
More informationAn Eternal Domination Problem in Grids
Theory and Applications of Graphs Volume Issue 1 Article 2 2017 An Eternal Domination Problem in Grids William Klostermeyer University of North Florida, klostermeyer@hotmail.com Margaret-Ellen Messinger
More informationTwo Characterizations of Hypercubes
Two Characterizations of Hypercubes Juhani Nieminen, Matti Peltola and Pasi Ruotsalainen Department of Mathematics, University of Oulu University of Oulu, Faculty of Technology, Mathematics Division, P.O.
More informationDO 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 informationAdjacent: Two distinct vertices u, v are adjacent if there is an edge with ends u, v. In this case we let uv denote such an edge.
1 Graph Basics What is a graph? Graph: a graph G consists of a set of vertices, denoted V (G), a set of edges, denoted E(G), and a relation called incidence so that each edge is incident with either one
More informationAssignment 4 Solutions of graph problems
Assignment 4 Solutions of graph problems 1. Let us assume that G is not a cycle. Consider the maximal path in the graph. Let the end points of the path be denoted as v 1, v k respectively. If either of
More informationPacking Edge-Disjoint Triangles in Given Graphs
Electronic Colloquium on Computational Complexity, Report No. 13 (01) Packing Edge-Disjoint Triangles in Given Graphs Tomás Feder Carlos Subi Abstract Given a graph G, we consider the problem of finding
More informationWinning Positions in Simplicial Nim
Winning Positions in Simplicial Nim David Horrocks Department of Mathematics and Statistics University of Prince Edward Island Charlottetown, Prince Edward Island, Canada, C1A 4P3 dhorrocks@upei.ca Submitted:
More informationChapter 6 GRAPH COLORING
Chapter 6 GRAPH COLORING A k-coloring of (the vertex set of) a graph G is a function c : V (G) {1, 2,..., k} such that c (u) 6= c (v) whenever u is adjacent to v. Ifak-coloring of G exists, then G is called
More information{ 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 informationVertex Colorings without Rainbow or Monochromatic Subgraphs. 1 Introduction
Vertex Colorings without Rainbow or Monochromatic Subgraphs Wayne Goddard and Honghai Xu Dept of Mathematical Sciences, Clemson University Clemson SC 29634 {goddard,honghax}@clemson.edu Abstract. This
More informationOn 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 informationThe strong chromatic number of a graph
The strong chromatic number of a graph Noga Alon Abstract It is shown that there is an absolute constant c with the following property: For any two graphs G 1 = (V, E 1 ) and G 2 = (V, E 2 ) on the same
More informationA GRAPH FROM THE VIEWPOINT OF ALGEBRAIC TOPOLOGY
A GRAPH FROM THE VIEWPOINT OF ALGEBRAIC TOPOLOGY KARL L. STRATOS Abstract. The conventional method of describing a graph as a pair (V, E), where V and E repectively denote the sets of vertices and edges,
More informationOn total domination and support vertices of a tree
On total domination and support vertices of a tree Ermelinda DeLaViña, Craig E. Larson, Ryan Pepper and Bill Waller University of Houston-Downtown, Houston, Texas 7700 delavinae@uhd.edu, pepperr@uhd.edu,
More informationDiscrete mathematics
Discrete mathematics Petr Kovář petr.kovar@vsb.cz VŠB Technical University of Ostrava DiM 470-2301/02, Winter term 2017/2018 About this file This file is meant to be a guideline for the lecturer. Many
More informationOn the Sum and Product of Covering Numbers of Graphs and their Line Graphs
Communications in Mathematics Applications Vol. 6, No. 1, pp. 9 16, 015 ISSN 0975-8607 (online); 0976-5905 (print) Published by RGN Publications http://www.rgnpublications.com On the Sum Product of Covering
More informationADJACENCY POSETS OF PLANAR GRAPHS
ADJACENCY POSETS OF PLANAR GRAPHS STEFAN FELSNER, CHING MAN LI, AND WILLIAM T. TROTTER Abstract. In this paper, we show that the dimension of the adjacency poset of a planar graph is at most 8. From below,
More informationMC 302 GRAPH THEORY 10/1/13 Solutions to HW #2 50 points + 6 XC points
MC 0 GRAPH THEORY 0// Solutions to HW # 0 points + XC points ) [CH] p.,..7. This problem introduces an important class of graphs called the hypercubes or k-cubes, Q, Q, Q, etc. I suggest that before you
More informationSymmetric Product Graphs
Rochester Institute of Technology RIT Scholar Works Theses Thesis/Dissertation Collections 5-20-2015 Symmetric Product Graphs Evan Witz Follow this and additional works at: http://scholarworks.rit.edu/theses
More informationON 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 informationThese notes present some properties of chordal graphs, a set of undirected graphs that are important for undirected graphical models.
Undirected Graphical Models: Chordal Graphs, Decomposable Graphs, Junction Trees, and Factorizations Peter Bartlett. October 2003. These notes present some properties of chordal graphs, a set of undirected
More informationOn Rainbow Cycles in Edge Colored Complete Graphs. S. Akbari, O. Etesami, H. Mahini, M. Mahmoody. Abstract
On Rainbow Cycles in Edge Colored Complete Graphs S. Akbari, O. Etesami, H. Mahini, M. Mahmoody Abstract In this paper we consider optimal edge colored complete graphs. We show that in any optimal edge
More informationSome relations among term rank, clique number and list chromatic number of a graph
Discrete Mathematics 306 (2006) 3078 3082 www.elsevier.com/locate/disc Some relations among term rank, clique number and list chromatic number of a graph Saieed Akbari a,b, Hamid-Reza Fanaï a,b a Department
More informationCycles through specified vertices in triangle-free graphs
March 6, 2006 Cycles through specified vertices in triangle-free graphs Daniel Paulusma Department of Computer Science, Durham University Science Laboratories, South Road, Durham DH1 3LE, England daniel.paulusma@durham.ac.uk
More informationDisjoint directed cycles
Disjoint directed cycles Noga Alon Abstract It is shown that there exists a positive ɛ so that for any integer k, every directed graph with minimum outdegree at least k contains at least ɛk vertex disjoint
More informationDiscrete Applied Mathematics. A revision and extension of results on 4-regular, 4-connected, claw-free graphs
Discrete Applied Mathematics 159 (2011) 1225 1230 Contents lists available at ScienceDirect Discrete Applied Mathematics journal homepage: www.elsevier.com/locate/dam A revision and extension of results
More informationDiscrete mathematics , Fall Instructor: prof. János Pach
Discrete mathematics 2016-2017, Fall Instructor: prof. János Pach - covered material - Lecture 1. Counting problems To read: [Lov]: 1.2. Sets, 1.3. Number of subsets, 1.5. Sequences, 1.6. Permutations,
More informationDischarging and reducible configurations
Discharging and reducible configurations Zdeněk Dvořák March 24, 2018 Suppose we want to show that graphs from some hereditary class G are k- colorable. Clearly, we can restrict our attention to graphs
More informationMath 5593 Linear Programming Lecture Notes
Math 5593 Linear Programming Lecture Notes Unit II: Theory & Foundations (Convex Analysis) University of Colorado Denver, Fall 2013 Topics 1 Convex Sets 1 1.1 Basic Properties (Luenberger-Ye Appendix B.1).........................
More information1 Matchings in Graphs
Matchings in Graphs J J 2 J 3 J 4 J 5 J J J 6 8 7 C C 2 C 3 C 4 C 5 C C 7 C 8 6 J J 2 J 3 J 4 J 5 J J J 6 8 7 C C 2 C 3 C 4 C 5 C C 7 C 8 6 Definition Two edges are called independent if they are not adjacent
More informationMAXIMAL 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 informationGrundy chromatic number of the complement of bipartite graphs
Grundy chromatic number of the complement of bipartite graphs Manouchehr Zaker Institute for Advanced Studies in Basic Sciences P. O. BOX 45195-159 Zanjan, Iran E-mail: mzaker@iasbs.ac.ir Abstract A Grundy
More informationThe External Network Problem
The External Network Problem Jan van den Heuvel and Matthew Johnson CDAM Research Report LSE-CDAM-2004-15 December 2004 Abstract The connectivity of a communications network can often be enhanced if the
More informationOn median graphs and median grid graphs
On median graphs and median grid graphs Sandi Klavžar 1 Department of Mathematics, PEF, University of Maribor, Koroška cesta 160, 2000 Maribor, Slovenia e-mail: sandi.klavzar@uni-lj.si Riste Škrekovski
More informationParameterized graph separation problems
Parameterized graph separation problems Dániel Marx Department of Computer Science and Information Theory, Budapest University of Technology and Economics Budapest, H-1521, Hungary, dmarx@cs.bme.hu Abstract.
More informationOn vertex types of graphs
On vertex types of graphs arxiv:1705.09540v1 [math.co] 26 May 2017 Pu Qiao, Xingzhi Zhan Department of Mathematics, East China Normal University, Shanghai 200241, China Abstract The vertices of a graph
More informationGraph Theory: Introduction
Graph Theory: Introduction Pallab Dasgupta, Professor, Dept. of Computer Sc. and Engineering, IIT Kharagpur pallab@cse.iitkgp.ernet.in Resources Copies of slides available at: http://www.facweb.iitkgp.ernet.in/~pallab
More informationHamiltonian 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 informationNon-zero disjoint cycles in highly connected group labelled graphs
Non-zero disjoint cycles in highly connected group labelled graphs Ken-ichi Kawarabayashi Paul Wollan Abstract Let G = (V, E) be an oriented graph whose edges are labelled by the elements of a group Γ.
More informationPANCYCLICITY WHEN EACH CYCLE CONTAINS k CHORDS
Discussiones Mathematicae Graph Theory xx (xxxx) 1 13 doi:10.7151/dmgt.2106 PANCYCLICITY WHEN EACH CYCLE CONTAINS k CHORDS Vladislav Taranchuk Department of Mathematics and Statistics California State
More informationPartitioning 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 informationAXIOMS FOR THE INTEGERS
AXIOMS FOR THE INTEGERS BRIAN OSSERMAN We describe the set of axioms for the integers which we will use in the class. The axioms are almost the same as what is presented in Appendix A of the textbook,
More informationPart II. Graph Theory. Year
Part II Year 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2017 53 Paper 3, Section II 15H Define the Ramsey numbers R(s, t) for integers s, t 2. Show that R(s, t) exists for all s,
More informationOn the Max Coloring Problem
On the Max Coloring Problem Leah Epstein Asaf Levin May 22, 2010 Abstract We consider max coloring on hereditary graph classes. The problem is defined as follows. Given a graph G = (V, E) and positive
More informationHW Graph Theory SOLUTIONS (hbovik)
Diestel 1.3: Let G be a graph containing a cycle C, and assume that G contains a path P of length at least k between two vertices of C. Show that G contains a cycle of length at least k. If C has length
More informationPerfect 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 informationRigidity, connectivity and graph decompositions
First Prev Next Last Rigidity, connectivity and graph decompositions Brigitte Servatius Herman Servatius Worcester Polytechnic Institute Page 1 of 100 First Prev Next Last Page 2 of 100 We say that a framework
More informationVertex Magic Total Labelings of Complete Graphs
AKCE J. Graphs. Combin., 6, No. 1 (2009), pp. 143-154 Vertex Magic Total Labelings of Complete Graphs H. K. Krishnappa, Kishore Kothapalli and V. Ch. Venkaiah Center for Security, Theory, and Algorithmic
More informationFOUR 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 informationDomination Cover Pebbling: Structural Results
Domination Cover Pebbling: Structural Results arxiv:math.co/0509564 v 3 Sep 005 Nathaniel G. Watson Department of Mathematics Washington University at St. Louis Carl R. Yerger Department of Mathematics
More informationMonochromatic Matchings in the Shadow Graph of Almost Complete Hypergraphs
Ann. Comb. 14 (010 45 49 DOI 10.1007/s0006-010-0058-1 Published online May 5, 010 Springer Basel AG 010 Annals of Combinatorics Monochromatic Matchings in the Shadow Graph of Almost Complete Hypergraphs
More informationResults on the min-sum vertex cover problem
Results on the min-sum vertex cover problem Ralucca Gera, 1 Craig Rasmussen, Pantelimon Stănică 1 Naval Postgraduate School Monterey, CA 9393, USA {rgera, ras, pstanica}@npsedu and Steve Horton United
More informationStrong Chromatic Index of 2-Degenerate Graphs
Strong Chromatic Index of 2-Degenerate Graphs Gerard Jennhwa Chang 1,2,3 and N. Narayanan 1 1 DEPARTMENT OF MATHEMATICS NATIONAL TAIWAN UNIVERSITY TAIPEI, TAIWAN E-mail: gjchang@math.ntu.edu.tw; narayana@gmail.com
More informationBipartite Coverings and the Chromatic Number
Bipartite Coverings and the Chromatic Number Dhruv Mubayi Sundar Vishwanathan Department of Mathematics, Department of Computer Science Statistics, and Computer Science Indian Institute of Technology University
More informationPotential Bisections of Large Degree
Potential Bisections of Large Degree Stephen G Hartke and Tyler Seacrest Department of Mathematics, University of Nebraska, Lincoln, NE 68588-0130 {hartke,s-tseacre1}@mathunledu June 6, 010 Abstract A
More informationGEODETIC DOMINATION IN GRAPHS
GEODETIC DOMINATION IN GRAPHS H. Escuadro 1, R. Gera 2, A. Hansberg, N. Jafari Rad 4, and L. Volkmann 1 Department of Mathematics, Juniata College Huntingdon, PA 16652; escuadro@juniata.edu 2 Department
More informationRainbow spanning trees in properly coloured complete graphs
Rainbow spanning trees in properly coloured complete graphs József Balogh, Hong Liu and Richard Montgomery April 24, 2017 Abstract In this short note, we study pairwise edge-disjoint rainbow spanning trees
More informationGraph Theory Questions from Past Papers
Graph Theory Questions from Past Papers Bilkent University, Laurence Barker, 19 October 2017 Do not forget to justify your answers in terms which could be understood by people who know the background theory
More information