Note on Nordhaus-Gaddum problems for power domination

Size: px
Start display at page:

Download "Note on Nordhaus-Gaddum problems for power domination"

Transcription

1 Note o Nordhaus-Gaddum problems for power domiatio Katherie F. Beso Departmet of Mathematics ad Physics Westmister College Fulto, MO 65251, USA katie.beso@westmister-mo.edu Mary Flagg Departmet of Mathematics, Computer Sciece ad Cooperative Egieerig Uiversity of St. Thomas 800 Motrose, Housto, TX 77006, USA flaggm@stthom.edu Leslie Hogbe Departmet of Mathematics Iowa State Uiversity Ames, IA 50011, USA America Istitute of Mathematics 600 E. Brokaw Road, Sa Jose, CA 95112, USA hogbe@aimath.org Daiela Ferrero Departmet of Mathematics Texas State Uiversity Sa Marcos, TX 78666, USA dferrero@txstate.edu Veroika Furst Departmet of Mathematics Fort Lewis College Durago, CO 8101, USA furst v@fortlewis.edu Violeta Vasilevska Departmet of Mathematics Utah Valley Uiversity Orem, UT, 8058, USA Violeta.Vasilevska@uvu.edu Submitted: October 10, 2016; Accepted: April 28, 2017; Published: XX Mathematics Subject Classificatios: 05C69, 05C57 Abstract The upper ad lower Nordhaus-Gaddum bouds over all graphs for the power domiatio umber follow from kow bouds o the domiatio umber ad examples. I this ote we improve the upper sum boud for the power domiatio umber substatially for graphs havig the property that both the graph ad its complemet must be coected. For these graphs, our boud is tight ad is also sigificatly better tha the correspodig boud for domiatio umber. We also improve the product upper boud for the power domiatio umber for graphs with certai properties. Keywords: power domiatio; domiatio; zero forcig; Nordhaus-Gaddum Supported by NSF DMS the electroic joural of combiatorics 22 (2015), #P00 1

2 1 Itroductio The study of the power domiatio umber of a graph arose from the questio of how to moitor electric power etworks at miimum cost, see Hayes et al. [9]. Ituitively, the power domiatio problem cosists of fidig a set of vertices i a graph that ca observe the etire graph accordig to certai observatio rules. The formal defiitio is give below immediately after some graph theory termiology. A graph G = (V, E) is a ordered pair formed by a fiite oempty set of vertices V = V (G) ad a set of edges E = E(G) cotaiig uordered pairs of distict vertices (that is, all graphs are simple ad udirected). The complemet of G = (V, E) is the graph G = (V, E), where E cosists of all two elemet subsets of V that are ot i E. For ay vertex v V, the eighborhood of v is the set N(v) = {u V : {u, v} E} ad the closed eighborhood of v is the set N[v] = N(v) {v}. Similarly, for ay set of vertices S, N(S) = v S N(v) ad N[S] = v S N[v]. For a set S of vertices i a graph G, defie P D(S) V (G) recursively as follows: 1. P D(S) := N[S] = S N(S). 2. While there exists v P D(S) such that N(v) \ P D(S) = 1: P D(S) := P D(S) N(v). A set S V (G) is called a power domiatig set of a graph G if, at the ed of the process above, P D(S) = V (G). A miimum power domiatig set is a power domiatig set of miimum cardiality. The power domiatio umber of G, deoted by γ P (G), is the cardiality of a miimum power domiatig set. Power domiatio is aturally related to domiatio ad to zero forcig. A set S V (G) is called a domiatig set of a graph G if N[S] = V (G). A miimum domiatig set is a domiatig set of miimum cardiality. The domiatio umber of G, deoted by γ(g), is the cardiality of a miimum domiatig set. Clearly γ P (G) γ(g). Zero forcig was itroduced idepedetly i combiatorial matrix theory [1] ad cotrol of quatum systems [5]. From a graph theory poit of view, zero forcig is a colorig game o a graph played accordig to the color chage rule: If u is a blue vertex ad exactly oe eighbor w of u is white, the chage the color of w to blue. We say u forces w. A zero forcig set for G is a subset of vertices B such that whe the vertices i B are colored blue ad the remaiig vertices are colored white iitially, repeated applicatio of the color chage rule ca color all vertices of G blue. A miimum zero forcig set is a zero forcig set of miimum cardiality. The zero forcig umber of G, deoted by Z(G), is the cardiality of a miimum zero forcig set. Power domiatio ca be see as a domiatio step followed by a zero forcig process, ad we will use the termiology v forces w to refer to Step 2 of power domiatio. Clearly γ P (G) Z(G). For a graph parameter ζ, the followig are Nordhaus-Gaddum problems: Determie a (tight) lower or upper boud o ζ(g) + ζ(g). Determie a (tight) lower or upper boud o ζ(g) ζ(g). the electroic joural of combiatorics 22 (2015), #P00 2

3 The ame comes from the ext theorem of Nordhaus ad Gaddum, where χ(g) deotes the chromatic umber of G. Theorem 1. [16] For ay graph G of order, ad 2 χ(g) + χ(g) + 1 ( ) χ(g) χ(g). 2 Each boud is assumed for ifiitely may values of. Nordhaus-Gaddum bouds have bee foud for both domiatio ad zero forcig. I additio to the origial papers cited here, Nordhaus-Gaddum results for domiatio ad several variats (but ot power domiatio) are discussed i Sectio 9.1 of the book [10] ad i the survey paper [2]. Theorem 2. [1] For ay graph G of order 2, γ(g) + γ(g) + 1 ad 2 γ(g) γ(g). The upper bouds are realized by the complete graph K, ad the lower bouds are realized by the star (complete bipartite graph) K 1, 1. ad It is kow that for a graph G of order 2, 2 Z(G) + Z(G) 2 1 Z(G) Z(G) 2, with the upper bouds realized by the complete graph K ad the lower bouds realized by the path P for. That the upper bouds are correct is immediate. The result 2 Z(G) + Z(G) appears i [7]. The Z(G) Z(G) follows, because 1 Z(G) for all G ad the fuctio f(z) = z( 2 z) attais its miimum o the iterval [1, ] at the edpoits. The geeral Nordhaus-Gaddum upper bouds for power domiatio umber follow from those for domiatio umber give i Theorem 2. The iequalities 2 γ P (G) + γ P (G) ad 1 γ P (G) γ P (G) are obvious sice 1 γ P (G) for every graph, ad these are realized by the path P (it is straightforward to verify that γ P (P ) = 1 = γ P (P )). Corollary. For ay graph G of order, 2 γ P (G) + γ P (G) + 1 ad 1 γ P (G) γ P (G). The upper bouds are realized by the complete graph K, ad the lower bouds are realized by the path P. the electroic joural of combiatorics 22 (2015), #P00

4 I Sectio we improve the sum upper boud for the power domiatio umber sigificatly uder the assumptio that both G ad G are coected, or more geerally all compoets of both have order at least, ad show that this boud is substatially differet from the aalogous boud for domiatio umber. I Sectio we refie the product bouds for certai special cases. Sectio 2 cotais additioal results that we use i Sectios ad. Sectio 5 summarizes the bouds for domiatio umber, power domiatio umber, ad zero forcig umber. Some additioal otatio is used: Let K p,q deote a complete bipartite graph with partite sets of cardiality p ad q. The degree of vertex v is deg G v = N G (v). Let δ(g) (respectively, (G)) deote the miimum (respectively, maximum) of the degrees of the vertices of G. A cut-set is a set of vertices whose removal discoects G. The vertexcoectivity of G K, deoted by κ(g), is the miimum cardiality of a cut-set (ote κ(g) = 0 if G is discoected), ad κ(k ) = 1. A edge-cut is a set of edges whose removal discoects G, ad the edge-coectivity of G, deoted by λ(g), is the miimum cardiality of a edge-cut. Observe that κ(g) λ(g) δ(g). The distace betwee vertices u ad v i G, d G (u, v), is the legth of a shortest path betwee u ad v i G. The diameter of G, diam(g), is the maximum distace betwee two vertices i a coected graph G; diam(g) = if G is ot coected. A compoet of a graph is a maximal coected subgraph. 2 Tools for Nordhaus-Gaddum bouds for power domiatio I this sectio we establish results that will be applied to improve Nordhaus-Gaddum upper bouds for both the sum ad product of the power domiatio umber with additioal assumptios, such as every compoet of the graph ad its complemet has order at least. The ext result is immediate from Corollary. Corollary. For ay graph G of order, γ P (G) γ P (G) Next we cosider the relatioship betwee the power domiatio umber of G or G ad the miimum degree or vertex-coectivity of G. Remark 5. For ay graph G of order, γ(g) δ(g) + 1, because a vertex of maximum degree i G, which is 1 δ(g), together with all its o-eighbors is a domiatig set of G. Propositio 6. Let G be a graph such that either G or G has isolated vertices. The γ P (G) δ(g). If δ(g) = 1, the γ P (G) = 1. Proof. Costruct a power domiatig set S for G of cardiality δ(g) as follows: Put a vertex v of maximum degree i G ito S, so N G [v] = (G) + 1 = 1 δ(g) + 1 = δ(g) <, where is the order of G. The add all but oe of the vertices i V (G) \ N G [v] ito S, i.e., add δ(g) 1 0 vertices to S, so S = δ(g). Now N G [S] cotais all but at most oe vertex, ad sice G has o isolated vertices, ay eighbor of such a vertex ca force it. The last statemet the follows sice γ P (G) 1 for all graphs G.. the electroic joural of combiatorics 22 (2015), #P00

5 Theorem 7. [11] If G is a graph with diam(g) = 2, the γ(g) κ(g). Next we state several results that give sufficiet coditios for γ(g) 2 or γ(g) 2, which the imply γ P (G) 2 or γ P (G) 2. Theorem 8. [], [10, Theorem 2.25] If G is a graph with diam(g), the γ(g) 2. Note that Theorem 8 also applies to graphs that are ot coected. Theorem 9. Suppose G is a graph with diam(g) = 2 such that G has o isolated vertices. The γ P (G) κ(g) 1 or γ P (G) 2. Proof. Sice G has o isolated vertices, every vertex has a eighbor i G. Let S be a miimum cut-set for G. Sice diam(g) = 2, every vertex i V \ S is adjacet to at least oe vertex i S. Case 1: There exists a vertex u V \ S that is adjacet to exactly oe vertex i S, say v (Case 1 is the oly possible case whe κ(g) = 1). Let G 1 deote the compoet of G S cotaiig u. I G, u domiates S \ {v} ad all vertices i compoets of G S other tha G 1. Let x be ay vertex i a compoet of G S that is ot equal to G 1. The x domiates the vertices of G 1. Therefore, {u, x} domiates all vertices i V except possibly v, ad ay eighbor of v i G ca force v, so {u, x} is a power domiatig set for G. Thus, γ P (G) 2. Case 2: Every vertex i V \ S is adjacet to at least two vertices i S. The S \ {v} is a power domiatig set for ay vertex v S, because S \ {v} domiates V \ {v}, ad ay eighbor of v i G ca force v. Thus, γ P (G) κ(g) 1. Theorem 10. [8] If G is plaar ad diam(g) = 2, the γ(g) 2 or G = S (K ), the graph show i Figure 1. Furthermore, γ(s (K )) =. Figure 1: The graph S (K ), which is the oly plaar graph with diameter 2 ad domiatio umber greater tha 2. Corollary 11. If G is plaar ad diam(g) = 2, the γ P (G) 2. Proof. This follows from Theorem 10 ad the fact that γ P (S (K )) = 2. the electroic joural of combiatorics 22 (2015), #P00 5

6 Whe κ(g) = λ(g) = δ(g), G is maximally coected. I every maximally coected graph G, for ay vertex v such that deg v = δ(g), N G (v) is a miimum cut-set ad the set of all edges icidet with v is a miimum edge-cut. I this case we say the cut is trivial, because it leaves a coected compoet formed by oe isolated vertex. A maximally coected graph G is super-λ if every miimum edge-cut is trivial. Super-λ graphs of diameter 2 were characterized by Wag ad Li: Theorem 12. [19] A coected graph G with diam(g) = 2 is super-λ if ad oly if G cotais o subgraph K δ(g) i which all of the vertices have degree (i G) equal to δ(g). Propositio 1. Let G be a coected graph with diam(g) = 2. If G is ot super-λ, the γ P (G) 2. Proof. Sice G is ot super-λ, there exists a subgraph K δ(g) i which all of the vertices have degree equal to δ(g) i G. Let v be a vertex i this K δ(g), so v has exactly oe eighbor outside K δ(g), say w. The, v domiates all vertices i K δ(g) ad w. Sice every vertex u i K δ(g) has degree i G equal to δ(g) ad u has δ(g) 1 domiated eighbors, u ca force its oe remaiig eighbor. Therefore, all vertices i K δ(g) ad their eighbors are observed. Sice diam(g) = 2, d(v, x) = 1 or d(v, x) = 2 for every vertex x v i G. If d(v, x) = 1, the x is domiated by v. If d(v, x) = 2, the x is a eighbor of a vertex i N G (v). Sice the vertices i N G (v) that are i K δ(g) have forced their eighbors, the oly case i which x is ot observed is if it is a eighbor of w. Thus {v, w} is a power domiatig set. Corollary 1. Assume that G ad G both have all compoets of order at least. The γ P (G) 2 or γ P (G) 2 if ay of the coditios below is satisfied: 1. diam(g) or diam(g). 2. G or G is plaar.. κ(g) or κ(g).. G or G is ot super-λ. Proof. Part (1) follows from Theorem 8. Sice G ad G both have all compoets of order at least, diam(g) 1 ad diam(g) 1. The case diam(g) is covered by part (1). So assume diam(g) = 2. The (2), (), ad () follow from Corollary 11, Theorem 9, ad Propositio 1, respectively. Let T be the family of graphs costructed by startig with a coected graph H ad for each v V (H) addig two ew vertices v ad v, each adjacet to v ad possibly to each other but ot to ay other vertices. The ext result appears i [21] without the floor fuctio. Theorem 15. [21] Suppose every compoet of a graph G has order at least ad deotes the order of G. The γ P (G). Furthermore, if γp (G) =, the every compoet of G is i T {K, }. the electroic joural of combiatorics 22 (2015), #P00 6

7 The method used i the costructio of a graph G T implies that γ P (G) = 1 if we start with a graph o at least 2 vertices: Lemma 16. Suppose G is a graph havig distict vertices w, u, v, v, ad v such that N[v ] = N[v ] = {v, v, v }, u N(v) ad w N(v). The γ P (G) = 1. Proof. I G, u is ot adjacet to v but is adjacet to v ad to v. The {v } is a power domiatig set for G, because u N G [v ] = V (G) \ {v, v } ad u forces v i G, ad the w forces v i G. Thus γ p (G) = 1. Propositio 17. Suppose G is a graph of order such that every compoet of G ad G has order at least ad γ P (G) =. The γ P (G) 2. If, i additio, G has a compoet G o T of order at least 6, the γ P (G) = 1. Proof. Necessarily, is a multiple of ad. If G has 2 or more compoets, the γ(g) 2 by Theorem 8. If G = K,, the γ P (G) = 2. Now suppose G has a compoet G o T of order at least 6 (this icludes the case where G has oly oe compoet that is ot K, ). The γ P (G o ) = 1 by Lemma 16 ad Propositio 6 (for the case v N(v )). I G, ay vertex i G o domiates ay vertex i a differet compoet, so the oe vertex that power domiates G o also power domiates G, ad γ P (G) = 1. Theorem 18. [11, 1] Suppose G is a graph of order with diam(g) = 2. If 2, the γ(g), ad γ(g) + 1 for 2. Remark 19. Let G be a graph. Suppose W is a set of at least two vertices such that o vertex outside W is adjacet to exactly oe vertex i W. The every power domiatig set S must cotai a vertex i N[W ], because o vertex outside of W ca force a vertex i W uless all but oe of the vertices i W have already bee power domiated. Figure 2: The ecklace N The ecklace with s diamods, deoted N s, is a -regular graph that ca be costructed from a s-cycle by appedig s additioal vertices, with each ew vertex adjacet to sequetial cycle vertices; N is show i Figure 2. Theorem 20. [6] Suppose G is a coected -regular graph of order ad G K,. The γ P (G), ad this boud is attaied for arbitrarily large by G = Nr. the electroic joural of combiatorics 22 (2015), #P00 7

8 Lemma 21. For r 2, γ P (N r ) = 2. Proof. Ay two vertices that are i differet copies of K e ad are ot icidet to the missig edges domiate N r, so γ P (N r ) 2. To complete the proof, we show that o oe vertex v ca power domiate N r. Deote the vertices of the K e that cotais v by x, y, z, w, where e = {x, y}. Apply Remark 19 to W = {z, w} for v = x ad to W = {x, y, w} for v = z to coclude {v} is ot a power domiatig set; the cases v = y or w are similar. Nordhaus-Gaddum sum bouds for power domiatio I this sectio, we improve the tight Nordhaus-Gaddum sum upper boud of for all graphs (Corollary ) to approximately uder oe of the assumptios that each compoet of G ad G has order at least (Theorem 2 below), or that both G ad G are coected (Theorem 25 below), ad to approximately i some special cases. The lower boud 2 γ P (G) + γ P (G) ca be attaied with both G ad G coected, specifically by the path G = P (both P ad P are coected for ). But the upper boud for all graphs is attaiable oly by discoectig G or G with some very small compoets. The ext result follows from Corollary 1 ad Theorem 15. Corollary 22. Let G be a graph of order such that every compoet of G ad G has order at least ad (diam(g) or diam(g) or κ(g) or κ(g) ). The γ P (G) + γ P (G) + 2. Theorem 2. Suppose G is a graph of order such that every compoet of G ad G has order at least. The for 1, 1, 16, 17, 20, γ P (G) + γ P (G) + 2, ad this boud is attaied for arbitrarily large by G = rk (where r 2). For = 1, 1, 16, 17, 20, γ P (G) + γ P (G) +. Proof. Without loss of geerality, we assume γ P (G) γ P (G), ad let p = γ P (G) ad p = γ P (G). If p 2, the p + p + 2 follows from Theorem 15. If p 6, Corollary gives p + p p +. So we assume p 5. Sice diam(g), diam(g) 1, by p Corollary 22 we may also assume diam(g) = diam(g) = 2 ad κ(g), κ(g). The latter implies 9. Corollary implies p + p p +. By Theorem 18, p, p p + 1. Thus we eed to cosider the followig cases: p =,, i which case p + p +. p = 5, i which case p + p the electroic joural of combiatorics 22 (2015), #P00 8

9 Algebra shows that ad for 21 ad = 18, 19. For = 9, 10, 11, p + p 5 = + 2 has bee verified computatioally [12]. To complete the proof that p + p + 2 for 1, 1, 16, 17, 20, we cosider = 12, 15. Sice p p, the oly possibilities are = 12 with (p, p) = (, ), (, ), p or = 15 with (p, p) = (, ), (, ), (, 5). For = 12 with (p, p) = (, ), ad = 15 with (p, p) = (, ), (, ), γ P (G) + γ P (G) + 2. I each of the remaiig cases, = 12 with (p, p) = (, ), or = 15 with (p, p) = (, 5), observe that p = ad p =. But this is prohibited by Propositio 17. If G is a disjoit uio of r 2 copies of K, the γ P (G) + γ P (G) = + 2, so the boud is tight for arbitrarily large. Fially, cosider = 1, 1, 16, 17, 20. For p =, γ P (G) + γ P (G) + is immediate from Theorem 15. Sice p p, the oly remaiig cases are = 16 p or 17 with (p, p) = (, ), ad = 20 with (p, p) = (, ), (, 5). All of these satisfy γ P (G) + γ P (G) +. We have o examples cotradictig γ P (G) + γ P (G) + 2 for graphs G of ay order where the order of each compoet of G ad G is at least. We cojecture that these exceptioal values 1, 1, 16, 17, 20 of are ot i fact exceptios: Cojecture 2. If G is graph of order such that the order of each compoet of G ad G is at least, the γ P (G) + γ P (G) + 2. Next we cosider the case i which both G ad G are required to be coected. Theorem 25. Suppose G is a graph of order such that both G ad G are coected. The for 12, 1, 1, 15, 16, 17, 18, 20, 21, 2, γ P (G) + γ P (G) + 1, ad this boud is attaied for arbitrarily large 6 by G T. Proof. For ot a multiple of, + 1 = + 2, ad the result follows from Theorem 2. So assume is a multiple of. We proceed as i the proof of Theorem 2, with the same otatioal covetios p := γ P (G) p := γ P (G), ad agai the boud is established for p 6 by Corollary. The result follows from Theorem 15 for p = 1, so we assume 2 p 5. Because is a multiple of ad both G ad G are coected, 6. Sice K, is ot coected, Theorem 15 ad Propositio 17 prohibit p 2 ad p =, so p 1. Thus the result follows for p = 2. So we assume p 5 ad p p 1; the latter requires 12, ad sice all multiples of betwee 12 ad 26 are excluded by hypothesis, we may assume 27. Sice p, diam(g) 2 by Theorem 8. Sice diam(g) = 1 would imply p = 1, ecessarily diam(g) = 2. The p by Theorem 18. Hece p + p + for p =,, ad p + p for p = 5. Algebra shows that ad for 27 ad a multiple of. There are graphs G T of arbitrarily large order, G is coected for 6, ad these graphs attai the boud. the electroic joural of combiatorics 22 (2015), #P00 9

10 The tight upper boud i Theorem 25 for γ P (G)+γ P (G) with both G ad G coected was obtaied by switchig from floor to ceilig. This raises a questio about the boud with floor, which has implicatios for products (see Sectio ). Questio 26. Do there exist graphs G of arbitrarily large order with both G ad G coected such that γ P (G) + γ P (G) = + 2? The ext two examples, foud via the computer program Sage, show that there are pairs of coected graphs G ad G of orders = 8 ad 11 such that γ P (G) + γ P (G) = + 2. Example 27. Let G be the graph show with its complemet i Figure ; observe that both are coected. It is easy to see that o oe vertex power domiates either G or G ad also easy to fid a power domiatig set of two vertices for each. Thus 8 γ P (G) + γ P (G) = = = + 2. Figure : A coected graph G of order 8 ad its coected complemet G such that γ P (G) + γ P (G) = + 2. Example 28. Let G be the graph show i Figure. It is easy to see that G is also coected. First we show that o set of two vertices is a power domiatig set for G. Sice {1, 2, 7} is a power domiatig set for G, this will imply γ P (G) = = 11. By Remark 19 applied to the sets W 1 = {2, } ad W 2 = {7, 8}, ay power domiatig set S of G must cotai vertices u 1 {2,,, 5, 6} ad aalogously, u 2 {7, 8, 9, 10, 11}. If u 1 {2, } ad u 2 {7, 8}, the vertex 1 caot be forced. If u 1 {, 5, 6}, the the two remaiig vertices i {, 5, 6} caot be forced; the case i which u 2 {9, 10, 11} is symmetric. Next we show that o oe vertex is a power domiatig set for G. Sice {2, 7} is a power domiatig set for G, this will imply γ P (G) = 2 ad γ P (G) + γ P (G) = For each possible vertex v {1, 2,,, 5, 6}, we apply Remark 19 with W as show: For v {1, 2, }, use W = {, 5, 6}. For v {, 5, 6}, use W = {2, }. The case v {7, 8, 9, 10, 11} is symmetric. The ext two theorems for domiatio umber provide a iterestig compariso. Theorem 29. [] For ay graph G of order such that δ(g) 1 ad δ(g) 1, γ(g) + γ(g) + 2, 2 ad this boud is attaied for arbitrarily large. the electroic joural of combiatorics 22 (2015), #P00 10

11 Figure : A coected graph G of order 11 such that G is also coected ad γ P (G) + γ P (G) = + 2. Theorem 0. [11] Suppose G is a graph of order such that δ(g) 7 ad δ(g) 7. The γ(g) + γ(g) + 2. From Theorem 0 we see that the same sum upper boud we obtaied for power domiatio umber (with the weaker hypothesis that every compoet has order at least ) is obtaied for domiatio umber whe we make the stroger assumptio that the miimum degrees of both G ad G are at least 7. Theorem 29 is a more direct parallel to Theorem 2 but with a higher boud. Theorem 29 has a weaker hypothesis, which is equivalet to every compoet of G ad G has order at least 2. The ext example shows that if Theorem 29 is restated to require both G ad G to be coected, the boud remais tight. This provides a direct compariso with Theorem 25 ad shows that for graphs G with both G ad G coected, the upper boud for the domiatio sum is substatially higher tha the upper boud for the power domiatio sum. Example 1. Let G k deote the kth comb, costructed by addig a leaf to every vertex of a path P k (G 9 is show i Figure 5); the order of G k is 2k. The every domiatig set S must have at least k elemets, because for each of the k leaves, either the leaf or its eighbor must be i S. Sice two vertices are eeded to domiate G k, γ(g k ) + γ(g k ) = k + 2 = 2k + 2. The results for power domiatio are very differet. For k = s, oe third 2 of the vertices i P k ca power domiate G k, ad oe vertex ca power domiate G k, so γ P (G k ) + γ P (G k ) = s + 1 = 2k Figure 5: The comb G 9 with the vertices of a miimum power domiatig set colored. We ca also improve the boud i Corollary whe G has some compoets of order less tha ad G has at least oe edge. the electroic joural of combiatorics 22 (2015), #P00 11

12 Theorem 2. Let G be a graph of order that has 1 isolated vertices ad 2 copies of K 2 as compoets such that 1 ad 2 are ot both zero. The γ P (G) + γ P (G) Proof. As a cosequece of Theorem 15, ( ) γ P (G) Because 1 1 or 2 1, a isolated vertex (respectively, oe of the vertices i a K 2 compoet) power domiates the complemet, so γ P (G) = 1. Hece, ( ) γ P (G) + γ P (G) We ca also improve the upper boud i some special cases. Theorem. Suppose G is a graph of order with diam(g) = diam(g) = 2, ad oe of the followig is true: 1. G or G is plaar. 2. κ(g) or κ(g).. G or G is ot super-λ. If 2, the γ P (G) + γ P (G) + 2, ad γp (G) + γ P (G) + for 2. Proof. By Corollary 1, γ P (G) 2 or γ P (G) 2. Assume without loss of geerality that γ P (G) 2. Applyig Theorem 18 to G, γ P (G) for 2 ad γp (G) + 1 for 2. Theorem. Suppose G is a -regular graph of order 6 such that o compoet is K,. The γ P (G), γp (G) 2, ad γ P (G) + γ P (G) + 2, ad all these iequalities are tight for arbitrarily large. Proof. Suppose first that G is coected. The γ P (G) by Theorem 20 (sice G K, ), so it suffices to show γ P (G) 2. Sice G K ad G is -regular, diam(g) 2. Sice diam(g) implies γ P (G) 2 by Theorem 8, we assume diam(g) = 2. For ay vertex v, there are at most 10 vertices at distace 0, 1, or 2 from v (v, its eighbors, ad two additioal eighbors of each of the eighbors of v), so 10. A examiatio of -regular graphs with 6 10 (see, for example, [18, p. 127]) shows the oly such graphs of diameter 2 are the five graphs show i Figure 6 (amed as i [18]): C = K,, C2, C5, C7, ad C27 (the Peterse graph). It is straightforward to verify that γ P (G) = 1 for G {C2, C7} ad γ P (G) = 2 for G {C5, C27}. This completes the proof for the case i which G is coected. the electroic joural of combiatorics 22 (2015), #P00 12

13 Figure 6: The five cubic graphs of diameter 2: C = K,, C2, C5, C7, ad C27 = the Peterse graph. Now assume G has compoets G 1,..., G s with s 2. The γ P (G) 2 by Theorem 8. Sice G i K,, γ P (G) = s γ P (G i ) i=1 s i=1 i s i=1 i = The graphs N r attai the boud by Theorem 20 ad Lemma 21.. Nordhaus-Gaddum product bouds for power domiatio As with the sum, the tight product lower boud for the power domiatio umber for all graphs G remais uchaged eve with the additioal requiremet that both G ad G be coected (usig the path). I Sectio, we achieved a tight sum upper boud for such graphs. However, sice this was achieved with γ P (G) = 1 for both G ad G coected, ad with γ P (G) = 2 whe each compoet of both G ad G has order at least, there are few immediate implicatios for products (see Sectio 5 for further discussio of coectios betwee sum ad product bouds). Questio 5. Does there exist a graph G of order such that all compoets of G ad G have order at least ad γ P (G) γ P (G) > 2? Remark 6. If the aswer to Questio 5 is egative, the the graphs G = rk with r 2 show 2 is a tight upper boud for the product, because γp (G) = ad γ P (G) = 2. Remark 7. If the aswer to Questio 26 is positive, the such graphs show 2 ca be attaied for arbitrarily large for the product with both G ad G coected. We ca improve the product boud i certai special cases. The ext result follows from Corollary 1 ad Theorem 15. Corollary 8. Let G be a graph of order such that every compoet of G ad G has order at least. The γ P (G) γ P (G) 2 if at least oe of the followig is true: 1. diam(g) or diam(g). 2. G or G is plaar.. κ(g) or κ(g). the electroic joural of combiatorics 22 (2015), #P00 1

14 . G or G is ot super-λ. The ext two results are product aalogs of Theorems 2 ad. The proofs, which are aalogous, are omitted. Theorem 9. Let G be a graph of order that has 1 isolated vertices ad 2 copies of K 2 as compoets such that 1 ad 2 are ot both zero. The γ P (G) γ P (G) Theorem 0. Suppose G is a graph of order with diam(g) = diam(g) = 2, ad oe of the followig is true: 1. G or G is plaar. 2. κ(g) or κ(g).. G or G is ot super-λ. If 2, the γ P (G) γ P (G) 2, ad γp (G) γ P (G) for 2. The ext result follows immediately from Theorem. Corollary 1. Suppose G is a -regular graph of order 6 with o K, compoet. The γ P (G) γ P (G) 2, ad this boud is attaied for arbitrarily large. Propositio 2. Let G be a tree o vertices. If G is ot K 1, or K 1,, the γ P (G) γ P (G) ad this boud is attaied for arbitrarily large. Proof. Note first that sice G is coected, γ P (G) by Theorem 15. If a tree is ot a star, the its complemet is also coected, ad by Propositio 6, γ P (G) = 1. For a star graph K 1, 1, we have γ P (K 1, 1 ) γ P (K 1, 1 ) = 2, which is less tha or equal to whe 6. The boud is attaied for arbitrarily large because if G is costructed from ay tree T by addig two leaves to each vertex of T, the γ P (G) =. 5 Summary ad discussio Table 1 summarizes what is kow about Nordhaus-Gaddum sum bouds for power domiatio umber, domiatio umber, ad zero forcig umber. Both the sum ad product upper ad lower bouds for the domiatio umber were determied by Jaeger ad Paya i 1972 (see Theorem 2), ad aalogous bouds for power domiatio are immediate corollaries. Sice the, there have bee umerous improvemets to the sum upper boud for domiatio umber uder various coditios o the electroic joural of combiatorics 22 (2015), #P00 1

15 Table 1: Summary of tight bouds for ζ(g) + ζ(g) for ζ = γ P, γ, Z ζ & restrictios lower upper γ P γ P & all compoets of both G ad G of order & γ P & both G ad G coected & γ & γ & both G ad G coected + 2 Z & Z & both coected 2 2 o() 2 G ad G. Examples of such coditios iclude requirig every compoet of both G ad G to have order at least 2 or requirig both to be coected or requirig both to have miimum degree at least 7. I Sectio we established better upper bouds for the power domiatio umber i the cases where both G ad G are coected or both have every compoet of order at least. By cotrast, results o products are very sparse for both domiatio umber ad power domiatio umber. Historically, the Nordhaus-Gaddum sum upper boud has ofte bee determied first, ad the used to obtai the product upper boud, as i the case of Nordhaus ad Gaddum s origial results [16] (see Theorem 1). I order to use this techique of gettig a tight product boud from a tight sum boud, oe eeds the sum upper boud to be optimized with approximately equal values or the sum lower boud to be optimized o extreme values. The sum lower boud for the domiatio umber is optimized at the extreme values, ad therefore the tight lower boud for the sum yields a tight lower boud for the product. However, all available evidece suggests that, for both the domiatio umber ad the power domiatio umber, the sum upper boud is optimized oly at extreme values. For example, the sum upper boud of + 1 over all graphs is attaied oly by the values 1 ad for both the domiatio ad power domiatio umbers. Thus, for the domiatio umber ad the power domiatio umber, the Nordhaus-Gaddum product upper boud presets challeges. Further evidece idicatig that the sum boud is optimized oly o extreme values comes from radom graphs. Ad it is also iterestig to cosider the average behavior, or expected value, of the sum ad product of Z, γ, ad γ P usig the Erdős Réyi radom graph G(, 1) (whose complemet is also a radom graph with edge probability 1 ). Let 2 2 G = G(, 1). 2 Let tw(h) deote the tree-width of a graph H. It is well kow that tw(h) Z(H) for all graphs of order. Sice tw(g) = o() [17], Z(G) = o(). Thus Z(G) + Z(G) = 2 o() ad Z(G) Z(G) = 2 o( 2 ), ad this establishes the the electroic joural of combiatorics 22 (2015), #P00 15

16 upper boud listed i Table 1 for coected graphs G ad G, because G ad G are both coected with probability approachig 1 as. For ay fixed ɛ > 0, γ(g) (1+ɛ) log 2 with probability goig to 1 as [15, 20]. Sice γ P (H) γ(h) for all graphs H, γ P (G) + γ P (G) 2(1 + ɛ) log 2 << + 1 as for G = G(, 1). 2 Ackowledgemets This research was supported by the America Istitute of Mathematics (AIM), the Istitute for Computatioal ad Experimetal Research i Mathematics (ICERM), ad the Natioal Sciece Foudatio (NSF) through DMS , ad the authors thak AIM, ICERM, ad NSF. We also thak S. Arumugam for sharig a paper with us via that was very helpful, Bria Wissma for fruitful discussios about prelimiary work ad for providig the Sage code for power domiatio, ad the referee for helpful commets that improved the expositio. Refereces [1] AIM Miimum Rak Special Graphs Work Group (F. Barioli, W. Barrett, S. Butler, S. M. Cioabă, D. Cvetković, S. M. Fallat, C. Godsil, W. Haemers, L. Hogbe, R. Mikkelso, S. Naraya, O. Pryporova, I. Sciriha, W. So, D. Stevaović, H. va der Holst, K. Vader Meule, ad A. Wagsess). Zero forcig sets ad the miimum rak of graphs. Liear Algebra App., 28: , [2] M. Aouchiche ad P. Hase. A survey of Nordhaus Gaddum type relatios. Discrete Appl. Math., 161:66 56, 201. [] S. Arumugam ad J. Paulraj Joseph. Domiatio i graphs. Iterat. J. Maagemet Systems, 11: , [] R.C. Brigham, P.Z. Chi, ad R.D. Dutto. Vertex domiatio-critical graphs. Networks, 18:17 179, [5] D. Burgarth ad V. Giovaetti. Full cotrol by locally iduced relaxatio. Phys. Rev. Lett. PRL 99, , [6] P. Dorbec, M. Heig, C. Löwestei, M. Motassier, ad A. Raspaud. Geeralized Power Domiatio i Regular Graphs. SIAM J. Discrete Math., 27: , 201. [7] J. Ekstrad, C. Erickso, H.T. Hall, D. Hay, L. Hogbe, R. Johso, N. Kigsley, S. Osbore, T. Peters, J. Roat, A. Ross, D.D. Row, N. Warberg, ad M. Youg. Positive semidefiite zero forcig. Liear Algebra Appl., 9: , 201. [8] W. Goddard ad M.A. Heig. Domiatio i plaar graphs with small diameter. J. Graph Theory, 0:1 25, [9] T.W. Hayes, S.M. Hedetiemi, S.T. Hedetiemi, ad M.A. Heig. Domiatio i graphs applied to electric power etworks. SIAM J. Discrete Math., 15: , the electroic joural of combiatorics 22 (2015), #P00 16

17 [10] T.W. Hayes, S.T. Hedetiemi, ad S. J. Slater. Fudametals of domiatio i graphs. CRC Press, Boca Rato, [11] A. Hellwig ad L. Volkma. Some upper bouds for the domiatio umber. J. Combi. Math. Combi. Comput., 57: , [12] L. Hogbe ad B. Wissma. Computatios i Sage for Nordhaus-Gaddum problems for power domiatio. PDF available at lhogbe/ng_powerdomiatio_sage.pdf. Sage worksheet available at orio.math.iastate.edu/lhogbe/ng_powerdomiatio.sws. [1] F. Jaeger ad C. Paya. Relatios du type Nordhaus-Gaddum pour le ombre d absorptio d u graphe simple. C. R. Acad. Sci. Paris Ser. A, 27:728 70, [1] D. Meierlig ad L. Volkma. Upper bouds for the domiatio umber i graphs of diameter two. Util. Math., 9: , 201. [15] S. Nikoletseas ad P. Spirakis. Near optimal domiatig sets i dese radom graphs with polyomial expected time. I J. va Leeuwe, ed., Graph Theoretic Cocepts i Computer Sciece, Lecture Notes i Computer Sciece 790, pp. 1 10, Spriger Verlag, Berli, 199. [16] E.A. Nordhaus ad J. Gaddum. O complemetary graphs. Amer. Math. Mothly, 6: , [17] G. Perarau ad O. Serra. O the tree-depth of radom graphs. Discrete Appl. Math., 168: , 201. [18] R. C. Read ad R. J. Wilso. A Atlas of Graphs. Oxford Uiversity Press, Oxford, [19] Y. Wag ad Q. Li. Super-edge-coectivity properties of graphs with diameter 2. J. Shaghai Jiaotog Uiv., (Chiese, Eglish summary), :66 69, [20] B. Wielad ad A.P. Godbole. O the domiatio umber of a radom graph. Electro. J. Comb. 8: Research Paper 7 (1 pp.), [21] M. Zhao, L. Kag ad G.J. Chag. Power domiatio i graphs. Discrete Math., 06: , the electroic joural of combiatorics 22 (2015), #P00 17

CHAPTER 2 NEIGHBORHOOD CONNECTED PERFECT DOMINATION IN GRAPHS

CHAPTER 2 NEIGHBORHOOD CONNECTED PERFECT DOMINATION IN GRAPHS 22 CHAPTER 2 NEIGHBORHOOD CONNECTED PERFECT DOMINATION IN GRAPHS 2.1 INTRODUCTION Various types of domiatio have bee studied by several authors ad more tha 75 models of domiatio are listed i the appedix

More information

Alliance Partition Number in Graphs

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

More information

The Forcing Domination Number of Hamiltonian Cubic Graphs

The Forcing Domination Number of Hamiltonian Cubic Graphs Iteratioal J.Math. Combi. Vol.2 2009), 53-57 The Forcig Domiatio Number of Hamiltoia Cubic Graphs H.Abdollahzadeh Ahagar Departmet of Mathematics, Uiversity of Mysore, Maasagagotri, Mysore- 570006 Pushpalatha

More information

Large holes in quasi-random graphs

Large holes in quasi-random graphs Large holes i quasi-radom graphs Joaa Polcy Departmet of Discrete Mathematics Adam Mickiewicz Uiversity Pozań, Polad joaska@amuedupl Submitted: Nov 23, 2006; Accepted: Apr 10, 2008; Published: Apr 18,

More information

Technische Universität Ilmenau Institut für Mathematik

Technische Universität Ilmenau Institut für Mathematik Techische Uiversität Ilmeau Istitut für Mathematik Preprit No. M 07/09 Domiatio i graphs of miimum degree at least two ad large girth Löwestei, Christia; Rautebach, Dieter 2007 Impressum: Hrsg.: Leiter

More information

Commutativity in Permutation Groups

Commutativity in Permutation Groups Commutativity i Permutatio Groups Richard Wito, PhD Abstract I the group Sym(S) of permutatios o a oempty set S, fixed poits ad trasiet poits are defied Prelimiary results o fixed ad trasiet poits are

More information

Disjoint Systems. Abstract

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

More information

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

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

More information

Lecture 2. The Lovász Local Lemma

Lecture 2. The Lovász Local Lemma Staford Uiversity Sprig 208 Math 233A: No-costructive methods i combiatorics Istructor: Ja Vodrák Lecture date: Jauary 0, 208 Origial scribe: Apoorva Khare Lecture 2. The Lovász Local Lemma 2. Itroductio

More information

Weakly Connected Closed Geodetic Numbers of Graphs

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

More information

On size multipartite Ramsey numbers for stars versus paths and cycles

On size multipartite Ramsey numbers for stars versus paths and cycles Electroic Joural of Graph Theory ad Applicatios 5 (1) (2017), 4 50 O size multipartite Ramsey umbers for stars versus paths ad cycles Aie Lusiai 1, Edy Tri Baskoro, Suhadi Wido Saputro Combiatorial Mathematics

More information

ON GRAPHS WITH THREE DISTINCT LAPLACIAN EIGENVALUES. 1 Introduction

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

More information

The Local Harmonious Chromatic Problem

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

More information

Pairs of disjoint q-element subsets far from each other

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

More information

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

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

More information

On global (strong) defensive alliances in some product graphs

On global (strong) defensive alliances in some product graphs O global (strog) defesive alliaces i some product graphs Ismael Gozález Yero (1), Marko Jakovac (), ad Dorota Kuziak (3) (1) Departameto de Matemáticas, Escuela Politécica Superior de Algeciras Uiversidad

More information

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

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

More information

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

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

More information

On matchings in hypergraphs

On matchings in hypergraphs O matchigs i hypergraphs Peter Frakl Tokyo, Japa peter.frakl@gmail.com Tomasz Luczak Adam Mickiewicz Uiversity Faculty of Mathematics ad CS Pozań, Polad ad Emory Uiversity Departmet of Mathematics ad CS

More information

ON THE LEHMER CONSTANT OF FINITE CYCLIC GROUPS

ON THE LEHMER CONSTANT OF FINITE CYCLIC GROUPS ON THE LEHMER CONSTANT OF FINITE CYCLIC GROUPS NORBERT KAIBLINGER Abstract. Results of Lid o Lehmer s problem iclude the value of the Lehmer costat of the fiite cyclic group Z/Z, for 5 ad all odd. By complemetary

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

Disjoint unions of complete graphs characterized by their Laplacian spectrum

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

More information

BI-INDUCED SUBGRAPHS AND STABILITY NUMBER *

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

More information

Solutions for the Exam 9 January 2012

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

More information

The Nature Diagnosability of Bubble-sort Star Graphs under the PMC Model and MM* Model

The Nature Diagnosability of Bubble-sort Star Graphs under the PMC Model and MM* Model Iteratioal Joural of Egieerig ad Applied Scieces (IJEAS) ISSN: 394-366 Volume-4 Issue-8 August 07 The Nature Diagosability of Bubble-sort Star Graphs uder the PMC Model ad MM* Model Mujiagsha Wag Yuqig

More information

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero? 2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a

More information

Few remarks on Ramsey-Turán-type problems Benny Sudakov Λ Abstract Let H be a fixed forbidden graph and let f be a function of n. Denote by RT n; H; f

Few remarks on Ramsey-Turán-type problems Benny Sudakov Λ Abstract Let H be a fixed forbidden graph and let f be a function of n. Denote by RT n; H; f Few remarks o Ramsey-Turá-type problems Bey Sudakov Abstract Let H be a fixed forbidde graph ad let f be a fuctio of. Deote by ; H; f () the maximum umber of edges a graph G o vertices ca have without

More information

Independence number of graphs with a prescribed number of cliques

Independence number of graphs with a prescribed number of cliques Idepedece umber of graphs with a prescribed umber of cliques Tom Bohma Dhruv Mubayi Abstract We cosider the followig problem posed by Erdős i 1962. Suppose that G is a -vertex graph where the umber of

More information

γ-max Labelings of Graphs

γ-max Labelings of Graphs γ-max Labeligs of Graphs Supapor Saduakdee 1 & Varaoot Khemmai 1 Departmet of Mathematics, Sriakhariwirot Uiversity, Bagkok, Thailad Joural of Mathematics Research; Vol. 9, No. 1; February 017 ISSN 1916-9795

More information

arxiv: v3 [math.co] 6 Aug 2014

arxiv: v3 [math.co] 6 Aug 2014 NEAR PERFECT MATCHINGS IN -UNIFORM HYPERGRAPHS arxiv:1404.1136v3 [math.co] 6 Aug 2014 JIE HAN Abstract. Let H be a -uiform hypergraph o vertices where is a sufficietly large iteger ot divisible by. We

More information

Some remarks for codes and lattices over imaginary quadratic

Some remarks for codes and lattices over imaginary quadratic Some remarks for codes ad lattices over imagiary quadratic fields Toy Shaska Oaklad Uiversity, Rochester, MI, USA. Caleb Shor Wester New Eglad Uiversity, Sprigfield, MA, USA. shaska@oaklad.edu Abstract

More information

Balanced coloring of bipartite graphs

Balanced coloring of bipartite graphs Balaced colorig of bipartite graphs Uriel Feige Shimo Koga Departmet of Computer Sciece ad Applied Mathematics Weizma Istitute, Rehovot 76100, Israel uriel.feige@weizma.ac.il Jue 16, 009 Abstract Give

More information

4 The Sperner property.

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

More information

Riesz-Fischer Sequences and Lower Frame Bounds

Riesz-Fischer Sequences and Lower Frame Bounds Zeitschrift für Aalysis ud ihre Aweduge Joural for Aalysis ad its Applicatios Volume 1 (00), No., 305 314 Riesz-Fischer Sequeces ad Lower Frame Bouds P. Casazza, O. Christese, S. Li ad A. Lider Abstract.

More information

Application to Random Graphs

Application to Random Graphs A Applicatio to Radom Graphs Brachig processes have a umber of iterestig ad importat applicatios. We shall cosider oe of the most famous of them, the Erdős-Réyi radom graph theory. 1 Defiitio A.1. Let

More information

Dominating Sets and Domination Polynomials of Square Of Cycles

Dominating Sets and Domination Polynomials of Square Of Cycles IOSR Joural of Mathematics IOSR-JM) ISSN: 78-78. Volume 3, Issue 4 Sep-Oct. 01), PP 04-14 www.iosrjourals.org Domiatig Sets ad Domiatio Polyomials of Square Of Cycles A. Vijaya 1, K. Lal Gipso 1 Assistat

More information

Laplacian energy of a graph

Laplacian energy of a graph Liear Algebra ad its Applicatios 414 (2006) 29 37 www.elsevier.com/locate/laa Laplacia eergy of a graph Iva Gutma a,, Bo Zhou b a Faculty of Sciece, Uiversity of Kragujevac, 34000 Kragujevac, P.O. Box

More information

On Random Line Segments in the Unit Square

On Random Line Segments in the Unit Square O Radom Lie Segmets i the Uit Square Thomas A. Courtade Departmet of Electrical Egieerig Uiversity of Califoria Los Ageles, Califoria 90095 Email: tacourta@ee.ucla.edu I. INTRODUCTION Let Q = [0, 1] [0,

More information

On the Linear Complexity of Feedback Registers

On the Linear Complexity of Feedback Registers O the Liear Complexity of Feedback Registers A. H. Cha M. Goresky A. Klapper Northeaster Uiversity Abstract I this paper, we study sequeces geerated by arbitrary feedback registers (ot ecessarily feedback

More information

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size.

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size. Lecture 7: Measure ad Category The Borel hierarchy classifies subsets of the reals by their topological complexity. Aother approach is to classify them by size. Filters ad Ideals The most commo measure

More information

THE LONELY RUNNER PROBLEM FOR MANY RUNNERS. Artūras Dubickas Vilnius University, Lithuania

THE LONELY RUNNER PROBLEM FOR MANY RUNNERS. Artūras Dubickas Vilnius University, Lithuania GLASNIK MATEMATIČKI Vol. 46(66)(2011), 25 30 THE LONELY RUNNER PROBLEM FOR MANY RUNNERS Artūras Dubickas Vilius Uiversity, Lithuaia Abstract. The loely ruer cojecture asserts that for ay positive iteger

More information

V low. e H i. V high

V low. e H i. V high ON SIZE RAMSEY NUMBERS OF GRAPHS WITH BOUNDED DEGREE VOJT ECH R ODL AND ENDRE SZEMER EDI Abstract. Aswerig a questio of J. Beck [B2], we prove that there exists a graph G o vertices with maximum degree

More information

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

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

More information

Week 5-6: The Binomial Coefficients

Week 5-6: The Binomial Coefficients Wee 5-6: The Biomial Coefficiets March 6, 2018 1 Pascal Formula Theorem 11 (Pascal s Formula For itegers ad such that 1, ( ( ( 1 1 + 1 The umbers ( 2 ( 1 2 ( 2 are triagle umbers, that is, The petago umbers

More information

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

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

More information

Linear chord diagrams with long chords

Linear chord diagrams with long chords Liear chord diagrams with log chords Everett Sulliva Departmet of Mathematics Dartmouth College Haover New Hampshire, U.S.A. everett..sulliva@dartmouth.edu Submitted: Feb 7, 2017; Accepted: Oct 7, 2017;

More information

Axioms of Measure Theory

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

More information

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

Formulas for the Number of Spanning Trees in a Maximal Planar Map Applied Mathematical Scieces Vol. 5 011 o. 64 3147-3159 Formulas for the Number of Spaig Trees i a Maximal Plaar Map A. Modabish D. Lotfi ad M. El Marraki Departmet of Computer Scieces Faculty of Scieces

More information

Largest families without an r-fork

Largest families without an r-fork Largest families without a r-for Aalisa De Bois Uiversity of Salero Salero, Italy debois@math.it Gyula O.H. Katoa Réyi Istitute Budapest, Hugary ohatoa@reyi.hu Itroductio Let [] = {,,..., } be a fiite

More information

A Study on Total Rebellion Number in Graphs

A Study on Total Rebellion Number in Graphs Joural of Iformatics ad Mathematical Scieces Vol. 9, No. 3, pp. 765 773, 017 ISSN 0975-5748 (olie); 0974-875X (prit) Published by GN Publicatios http://www.rgpublicatios.com Proceedigs of the Coferece

More information

Absolutely Harmonious Labeling of Graphs

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

More information

Dense H-free graphs are almost (χ(h) 1)-partite

Dense H-free graphs are almost (χ(h) 1)-partite Dese H-free graphs are almost χh) 1)-partite Peter Alle arxiv:0907.815v1 [math.co] 22 Jul 2009 July 22, 2009 Abstract By usig the Szemerédi Regularity Lemma [9], Alo ad Sudakov [1] recetly exteded the

More information

Adjacent vertex distinguishing total coloring of tensor product of graphs

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

More information

AN INTRODUCTION TO SPECTRAL GRAPH THEORY

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

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

Ma/CS 6b Class 19: Extremal Graph Theory

Ma/CS 6b Class 19: Extremal Graph Theory /9/05 Ma/CS 6b Class 9: Extremal Graph Theory Paul Turá By Adam Sheffer Extremal Graph Theory The subfield of extremal graph theory deals with questios of the form: What is the maximum umber of edges that

More information

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

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

More information

University of Twente The Netherlands

University of Twente The Netherlands Faculty of Mathematical Scieces t Uiversity of Twete The Netherlads P.O. Box 7 7500 AE Eschede The Netherlads Phoe: +3-53-4893400 Fax: +3-53-48934 Email: memo@math.utwete.l www.math.utwete.l/publicatios

More information

LAPLACIAN ENERGY OF GENERALIZED COMPLEMENTS OF A GRAPH

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

More information

REGULARIZATION OF CERTAIN DIVERGENT SERIES OF POLYNOMIALS

REGULARIZATION OF CERTAIN DIVERGENT SERIES OF POLYNOMIALS REGULARIZATION OF CERTAIN DIVERGENT SERIES OF POLYNOMIALS LIVIU I. NICOLAESCU ABSTRACT. We ivestigate the geeralized covergece ad sums of series of the form P at P (x, where P R[x], a R,, ad T : R[x] R[x]

More information

Problem Set 2 Solutions

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

More information

ON RADIO NUMBER OF STACKED-BOOK GRAPHS arxiv: v1 [math.co] 2 Jan 2019

ON RADIO NUMBER OF STACKED-BOOK GRAPHS arxiv: v1 [math.co] 2 Jan 2019 ON RADIO NUMBER OF STACKED-BOOK GRAPHS arxiv:1901.00355v1 [math.co] Ja 019 TAYO CHARLES ADEFOKUN 1 AND DEBORAH OLAYIDE AJAYI Abstract. A Stacked-book graph G m, results from the Cartesia product of a stargraphs

More information

The log-behavior of n p(n) and n p(n)/n

The log-behavior of n p(n) and n p(n)/n Ramauja J. 44 017, 81-99 The log-behavior of p ad p/ William Y.C. Che 1 ad Ke Y. Zheg 1 Ceter for Applied Mathematics Tiaji Uiversity Tiaji 0007, P. R. Chia Ceter for Combiatorics, LPMC Nakai Uivercity

More information

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

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

More information

Rainbow arithmetic progressions

Rainbow arithmetic progressions Raibow arithmetic progressios Steve Butler 1 Craig Erickso 2 Leslie Hogbe 1,3 Kirste Hogeso 1 Lucas Kramer 4 Richard L. Kramer 1 Jephia Chi-Hug Li 1 Rya R. Marti 1,5 Derrick Stolee 1,6 Natha Warberg 7

More information

Many Touchings Force Many Crossings

Many Touchings Force Many Crossings May Touchigs Force May Crossigs Jáos Pach 1, ad Géza Tóth 1 École Polytechique Fédérale de Lausae, St. 8, Lausae 1015, Switzerlad pach@cims.yu.edu Réyi Istitute, Hugaria Academy of Scieces 1364 Budapest,

More information

Basics of Probability Theory (for Theory of Computation courses)

Basics of Probability Theory (for Theory of Computation courses) Basics of Probability Theory (for Theory of Computatio courses) Oded Goldreich Departmet of Computer Sciece Weizma Istitute of Sciece Rehovot, Israel. oded.goldreich@weizma.ac.il November 24, 2008 Preface.

More information

On groups of diffeomorphisms of the interval with finitely many fixed points II. Azer Akhmedov

On groups of diffeomorphisms of the interval with finitely many fixed points II. Azer Akhmedov O groups of diffeomorphisms of the iterval with fiitely may fixed poits II Azer Akhmedov Abstract: I [6], it is proved that ay subgroup of Diff ω +(I) (the group of orietatio preservig aalytic diffeomorphisms

More information

An exact result for hypergraphs and upper bounds for the Turán density of K r r+1

An exact result for hypergraphs and upper bounds for the Turán density of K r r+1 A exact result for hypergraphs ad upper bouds for the Turá desity of K r r+1 Liyua Lu Departmet of Mathematics Uiversity of outh Carolia Columbia, C 908 Yi Zhao Departmet of Mathematics ad tatistics Georgia

More information

Symmetric Division Deg Energy of a Graph

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

More information

PAijpam.eu IRREGULAR SET COLORINGS OF GRAPHS

PAijpam.eu IRREGULAR SET COLORINGS OF GRAPHS Iteratioal Joural of Pure ad Applied Mathematics Volume 109 No. 7 016, 143-150 ISSN: 1311-8080 (prited versio); ISSN: 1314-3395 (o-lie versio) url: http://www.ijpam.eu doi: 10.173/ijpam.v109i7.18 PAijpam.eu

More information

On Net-Regular Signed Graphs

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

More information

Random Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A.

Random Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A. Radom Walks o Discrete ad Cotiuous Circles by Jeffrey S. Rosethal School of Mathematics, Uiversity of Miesota, Mieapolis, MN, U.S.A. 55455 (Appeared i Joural of Applied Probability 30 (1993), 780 789.)

More information

No four subsets forming an N

No four subsets forming an N No four subsets formig a N Jerrold R. Griggs Uiversity of South Carolia Columbia, SC 908 USA griggs@math.sc.edu Gyula O.H. Katoa Réyi Istitute Budapest, Hugary ohkatoa@reyi.hu Rev., May 3, 007 Abstract

More information

Lecture 14: Graph Entropy

Lecture 14: Graph Entropy 15-859: Iformatio Theory ad Applicatios i TCS Sprig 2013 Lecture 14: Graph Etropy March 19, 2013 Lecturer: Mahdi Cheraghchi Scribe: Euiwoog Lee 1 Recap Bergma s boud o the permaet Shearer s Lemma Number

More information

A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS

A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS Acta Math. Hugar., 2007 DOI: 10.1007/s10474-007-7013-6 A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS L. L. STACHÓ ad L. I. SZABÓ Bolyai Istitute, Uiversity of Szeged, Aradi vértaúk tere 1, H-6720

More information

Ma 530 Introduction to Power Series

Ma 530 Introduction to Power Series Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power

More information

Math 155 (Lecture 3)

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

More information

The value of Banach limits on a certain sequence of all rational numbers in the interval (0,1) Bao Qi Feng

The value of Banach limits on a certain sequence of all rational numbers in the interval (0,1) Bao Qi Feng The value of Baach limits o a certai sequece of all ratioal umbers i the iterval 0, Bao Qi Feg Departmet of Mathematical Scieces, Ket State Uiversity, Tuscarawas, 330 Uiversity Dr. NE, New Philadelphia,

More information

ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS

ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS EDUARD KONTOROVICH Abstract. I this work we uify ad geeralize some results about chaos ad sesitivity. Date: March 1, 005. 1 1. Symbolic Dyamics Defiitio

More information

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3 MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special

More information

Lecture Notes for Analysis Class

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

More information

The Random Walk For Dummies

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

More information

A class of spectral bounds for Max k-cut

A class of spectral bounds for Max k-cut A class of spectral bouds for Max k-cut Miguel F. Ajos, José Neto December 07 Abstract Let G be a udirected ad edge-weighted simple graph. I this paper we itroduce a class of bouds for the maximum k-cut

More information

Spectral bounds for the k-independence number of a graph

Spectral bounds for the k-independence number of a graph Spectral bouds for the k-idepedece umber of a graph Aida Abiad a, Sebastia M. Cioabă b ad Michael Tait c a Dept. of Quatitative Ecoomics, Operatios Research Maastricht Uiversity, Maastricht, The Netherlads

More information

An Introduction to Randomized Algorithms

An Introduction to Randomized Algorithms A Itroductio to Radomized Algorithms The focus of this lecture is to study a radomized algorithm for quick sort, aalyze it usig probabilistic recurrece relatios, ad also provide more geeral tools for aalysis

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

On Involutions which Preserve Natural Filtration

On Involutions which Preserve Natural Filtration Proceedigs of Istitute of Mathematics of NAS of Ukraie 00, Vol. 43, Part, 490 494 O Ivolutios which Preserve Natural Filtratio Alexader V. STRELETS Istitute of Mathematics of the NAS of Ukraie, 3 Tereshchekivska

More information

Chapter IV Integration Theory

Chapter IV Integration Theory Chapter IV Itegratio Theory Lectures 32-33 1. Costructio of the itegral I this sectio we costruct the abstract itegral. As a matter of termiology, we defie a measure space as beig a triple (, A, µ), where

More information

RADIO NUMBER FOR CROSS PRODUCT P n (P 2 ) Gyeongsang National University Jinju, , KOREA 2,4 Department of Mathematics

RADIO NUMBER FOR CROSS PRODUCT P n (P 2 ) Gyeongsang National University Jinju, , KOREA 2,4 Department of Mathematics Iteratioal Joural of Pure ad Applied Mathematics Volume 97 No. 4 014, 515-55 ISSN: 1311-8080 (prited versio); ISSN: 1314-3395 (o-lie versio) url: http://www.ijpam.eu doi: http://dx.doi.org/10.173/ijpam.v97i4.11

More information

Zeros of Polynomials

Zeros of Polynomials Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree

More information

ON POINTWISE BINOMIAL APPROXIMATION

ON POINTWISE BINOMIAL APPROXIMATION Iteratioal Joural of Pure ad Applied Mathematics Volume 71 No. 1 2011, 57-66 ON POINTWISE BINOMIAL APPROXIMATION BY w-functions K. Teerapabolar 1, P. Wogkasem 2 Departmet of Mathematics Faculty of Sciece

More information

The random version of Dvoretzky s theorem in l n

The random version of Dvoretzky s theorem in l n The radom versio of Dvoretzky s theorem i l Gideo Schechtma Abstract We show that with high probability a sectio of the l ball of dimesio k cε log c > 0 a uiversal costat) is ε close to a multiple of the

More information

A Survey on Monochromatic Connections of Graphs

A Survey on Monochromatic Connections of Graphs Theory ad Applicatios of Graphs Special Issue: Dyamic Surveys Article 4 018 A Survey o Moochromatic Coectios of Graphs Xueliag Li Nakai Uiversity, lxl@akai.edu.c Di Wu Nakai Uiversity, wudiol@mail.akai.edu.c

More information

Randić index, diameter and the average distance

Randić index, diameter and the average distance Radić idex, diameter ad the average distace arxiv:0906.530v1 [math.co] 9 Ju 009 Xueliag Li, Yogtag Shi Ceter for Combiatorics ad LPMC-TJKLC Nakai Uiversity, Tiaji 300071, Chia lxl@akai.edu.c; shi@cfc.akai.edu.c

More information

SOME GENERALIZATIONS OF OLIVIER S THEOREM

SOME GENERALIZATIONS OF OLIVIER S THEOREM SOME GENERALIZATIONS OF OLIVIER S THEOREM Alai Faisat, Sait-Étiee, Georges Grekos, Sait-Étiee, Ladislav Mišík Ostrava (Received Jauary 27, 2006) Abstract. Let a be a coverget series of positive real umbers.

More information

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ.

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ. 2 5. Weighted umber of late jobs 5.1. Release dates ad due dates: maximimizig the weight of o-time jobs Oce we add release dates, miimizig the umber of late jobs becomes a sigificatly harder problem. For

More information

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i

More information

Some special clique problems

Some special clique problems Some special clique problems Reate Witer Istitut für Iformatik Marti-Luther-Uiversität Halle-Witteberg Vo-Seckedorff-Platz, D 0620 Halle Saale Germay Abstract: We cosider graphs with cliques of size k

More information