Finite Order Domination in Graphs

Size: px
Start display at page:

Download "Finite Order Domination in Graphs"

Transcription

1 Fiite Order Domiatio i Graphs AP Burger, EJ Cockaye, WR Grüdligh, CM Myhardt, JH va Vuure & W Witerbach September 11, 003 Abstract The (previously studied) otios of secure domiatio ad of weak Roma domiatio ivolve the costructio of protectio strategies i a simple graph G = (V, E), by utilisig the miimum umber of guards eeded at vertices i V to protect G i differet scearios (these miimum umbers are called the secure [weak Roma] domiatio parameters for the graph). I this paper these otios are geeralised i the sese that safe cofiguratios i G are ot merely sought after oe move, but rather after each of k 1 moves. Some geeral properties of these geeralised domiatio parameters are established, after which the parameter values are foud for certai simple graph structures (such as paths, cycles, multipartite graphs ad products of complete graphs, cycles ad paths). Keywords: Secure & weak Roma Domiatio, Higher Order Domiatio, Graph Protectio. AMS Subject Classificatio: 05C69. 1 Itroductio A guard fuctio for a graph G = (V, E) is a mappig f : V {0, 1,,...} such that f(v) deotes the umber of guards statioed at a vertex v V. A guard fuctio partitios the vertex set of G ito subsets V i = {v : f(v) = i}, i = 0, 1,,... ad we (imprecisely) write f = (V 0, V 1, V,...). A guard Departmet of Applied Mathematics, Stellebosch Uiversity, Private Bag X1, Matielad, 760, Republic of South Africa, fax: , vuure@su.ac.za. Departmet of Mathematics ad Statistics, Uiversity of Victoria, Box 3045, Victoria, BC, Caada, V8W 3P4, cockaye@math.uvic.ca 1

2 fuctio is called safe if each v V 0 is adjacet to some u V \V 0 (i.e. if V \V 0 is a domiatig set of G). The weight of a guard fuctio is deoted w(f) = v V f(v). The followig four kids of safe guard fuctios have bee studied i the literature: 1. A domiatig fuctio (DF) is a safe guard fuctio f = (V 0, V 1 ). Note that f = (V 0, V 1 ) is a DF if ad oly if V 1 is a domiatig set of G. The miimum weight of a DF is the well kow lower domiatio umber, γ(g) = mi DFs V 1. See, for example, [5] for kow results o this parameter.. Prompted by a strategy employed by Roma emperor Costatie, first Stewart [7] ad the Cockaye, et al. [1], exteded the otio of a DF to iclude so called Roma domiatio. A Roma domiatig fuctio (RDF) is a safe guard fuctio f = (V 0, V 1, V ) such that each v V 0 is adjacet to some u V. The miimum weight of a RDF is deoted γ R (G) = mi RDFs ( V 1 + V ), which is called the Roma domiatio umber of G. 3. As a result of usig possibly too may guards i a RDF, Heig & Hedetiemi [6] suggested relaxig the defiitio somewhat to arrive at the otio of so called weak Roma domiatio. A weak Roma domiatig fuctio (WRDF) is a safe guard fuctio f = (V 0, V 1, V ) with the property that each v V 0 is adjacet to some u V 1 V such that 1, if s = v g(s) = f(u) 1, if s = u f(s), if s V \{u, v} is also a safe guard fuctio. I this case we write g = move(f, u v) to mea that g is the safe guard fuctio obtaied from the safe guard fuctio f by movig a guard from vertex u to a adjacet vertex v, ad leavig all other guards uchaged. The miimum weight of a WRDF is deoted γ r (G) = mi ( V 1 + V ), WRDFs which is called the weak Roma domiatio umber of G.

3 3 4. Fially, the defiitio of weak Roma domiatio was broadeed yet further by Cockaye, et al. [3] to iclude the otio of secure domiatio. A secure domiatig fuctio (SDF) is a safe guard fuctio f = (V 0, V 1 ) with the property that each v V 0 is adjacet to some u V 1 such that g(s) = move(f, u v) 1, if s = v = 0, if s = u f(s), if s V \{u, v} is also a safe guard fuctio. The miimum weight of a SDF is deoted γ s (G) = mi V 1, SDFs which is called the secure domiatio umber of G. I [1, 3, 6] it was show that, for ay coected graph G, γ(g) γ r (G) { γr (G) γ(g) γ s (G). (1) A umber of iterestig properties of these four parameters have bee established i [1, 3, 6], ad these parameters have also bee determied for simple graph classes, such as complete graphs, paths, cycles ad complete multipartite graphs. I [, 3] bouds for these parameters are established for more complex graph structures, such as grid graphs, products of cycles, products of complete graphs ad claw free graphs. Fially, the geeral lower boud γ s (G) ( t + 5) ( + 1) (t 1)(t ) was proved i [] for ay K t free graph G of order ad maximum degree. Foolproof geeralisatios There is a fudametal differece betwee domiatig fuctios ad Roma domiatig fuctios o the oe had, ad weak Roma domiatig fuctios ad secure domiatig fuctios o the other: the first two ivolve static cofiguratios of guards o the vertices of G, while the secod two ivolve movig a guard from oe vertex to a adjecet vertex ad are therefore dyamic. We shall oly cosider dyamic cofiguratios of ()

4 4 guards. The defiitios of both weak roma domiatio ad secure domiatio are smart i the followig sese: they require that, for ay uoccupied vertex v experiecig a problem, there is a guard at a adjacet vertex u such that movig the guard from u to v results i a safe guard fuctio. It is the strategist s task to determie which move to make i order to resolve the problem at vertex v. It is therefore possible to defie foolproof versios of these dyamic cofiguratio cases (where a strategist is ot required): (5) A foolproof weak Roma domiatig fuctio (FWRDF) is a safe guard fuctio f = (V 0, V 1, V ) such that, for each u V 1 V i the (ope) eighbourhood of ay v V 0, the fuctio g(s) = move(f, u v) 1, if s = v = f(u) 1, if s = u f(s), if s V \{u, v} is also a safe guard fuctio. The miimum weight of a FWRDF is deoted γr (G) = mi ( V 1 + V ), FWRDFs which is called the foolproof weak Roma domiatio umber of G. (6) A foolproof secure domiatig fuctio (FSDF) is a safe guard fuctio f = (V 0, V 1 ) such that, for each u V 1 i the (ope) eighbourhood of ay v V 0, the fuctio g(s) = move(f, u v) 1, if s = v = 0, if s = u f(s), if s V \{u, v} is also a safe guard fuctio. The miimum weight of a FSDF is deoted γ s (G) = mi FSDFs V 1, which is called the foolproof secure domiatio umber of G. Whe referrig to the previously studied versios of these defiitios (as opposed to the ew defiitio versios give above), we shall use the term smart secure [weak Roma] domiatio istead of foolproof secure [weak Roma] domiatio i order to distiguish betwee the two kids of dyamic cofiguratios. Note that, for ay graph G, γ r (G) γ r (G) ad γ s (G) γ s (G), (3)

5 5 sice foolproof secure [weak Roma] domiatio requires a more robust cofiguratio tha does its smart couterpart. We also have the followig (less trivial) result. Propositio 1 For ay graph G, γ r (G) γ R (G). Proof: Suppose f R = (V 0, V 1, V ) is a RDF for the graph G. The f R is certaily a safe guard fuctio for G, ad ay move of the form g r = move(f R, u v) clearly results i a safe guard fuctio g r i the case where u V. Furthermore, if u V 1, the g r is also a safe guard fuctio, sice i this case the sole possible reaso for icludig u i V 1 i the first place, was that u should domiate itself. But after the move u is domiated by v. The followig geeralisatio of the bouds i (1) is therefore possible, by utilisatio of (3) ad Propositio 1. Corollary 1 For ay graph G, γ(g) γ r (G) { γ r (G) γ R (G) γ(g) γ s (G) γ s (G). (4) It is, of course, possible to establish values for the dyamic cofiguratio parameters i the foolproof case for simple graph classes, as has bee doe for the smart cases i [1, 3, 6]. We demostrate this for the case of foolproof secure domiatio of paths. Theorem 1 For ay path P, γ s (P ) =. Proof: It is first show, by cotradictio, that γs (P ). Suppose f = (V 0, V 1 ) is a FSDF for the path P : v 1 v with V 1 <. The at least oe of the followig situatios occur (without loss of geerality, by choice of the vertex labellig): (i) Ú ½ Ú ¾ Ú (ii) Ú Ú ½ Ú ¾ Ú Ú where dark vertices deote elemets of V 1. Suppose (i) holds. The g = move(f, v v 3 ) is ot a safe guard fuctio, sice v 1 V 0 is ot adjacet to ay u V 1. Now suppose (ii) holds. The g = move(f, v i+3 v i+4 ) is ot a safe guard fuctio, sice v i+ V 0 is ot adjacet to ay u V 1. These cotradictios show that γs (P ). (5)

6 6 To see that γ s (P ), (6) observe that f odd = (Ṽ0, Ṽ1), with Ṽ1 = {v i : i 1 (mod )} ad Ṽ0 = V (P )\Ṽ1 is a FSDF for P if is odd. Otherwise f eve = ( V 0, V 1 ) with V 1 = {v i : i, 3 (mod 4)} ad V 0 = V (P )\ V 1 is a FSDF for P if is eve. The desired result follows by a combiatio of (5) ad (6). Similar results to the oe above for other graph classes or for the parameter γ r are possible at this poit, but we refrai from provig such results util we have established a more geeral settig for smart ad foolproof domiatio. 3 Higher order geeralisatios It is atural to geeralise the otios of smart [foolproof] secure ad weak Roma domiatio so that safe cofiguratios are guarateed after each of k 1 moves to a sequece of problem vertices (heceforth iformally called a problem sequece) istead of cosiderig oly oe problem vertex i the graph at a time. The followig four defiitios achieve just such a geeralisatio. (7) A smart k weak Roma domiatig fuctio (k SWRDF) is a safe guard fuctio f (0) = (V (0) 1, V (0) ) with the property that, for ay sequece of vertices v 0, v 1,... v k 1, there exists a sequece of vertices u i V (i) 1 V (i) i the eighbourhoods of v i such that the fuctios f (i+1) (s) = move(f (i), u i v i ) are also safe guard fuctios for all i = 0,..., k 1. The miimum weight of a k SWRDF is deoted γ r,k (G) = mi k SWRDFs ( V (0) 1 + V (0) which is called the smart k weak Roma domiatio umber of G. (8) Similarly, a foolproof k weak Roma domiatig fuctio (k FWRDF) is a safe guard fuctio f (0) = (V (0) 1, V (0) ) with the property that, for ay sequece of vertices v 0, v 1,..., v k 1, the fuctios f (i+1) (s) = move(f (i), u i v i ) are also safe guard fuctios for ay sequece of vertices u i V (i) 1 V (i) i the eighbourhoods of v i ad all i = 0,..., k 1. The miimum weight of a k FWRDF is deoted ( ) γr,k(g) = V (0) 1 + V (0), mi k FWRDFs which is called the foolproof k weak Roma domiatio umber of G. ),

7 7 (9) A smart k secure domiatig fuctio (k SSDF) is a safe guard fuctio f (0) = (V (0) 1 ) with the property that, for ay sequece of vertices v 0, v 1,..., v k 1, there exists a sequece of vertices u i V (i) 1 such that the fuctios f (i+1) (s) = move(f (i), u i v i ) are also safe guard fuctios for all i = 0,..., k 1. The miimum weight of a k SSDF is deoted γ s,k (G) = (0) mi V 1, k SSDFs which is called the smart k secure domiatio umber of G. (10) Similarly, a foolproof k secure domiatig fuctio (k FSDF) is a safe guard fuctio f (0) = (V (0) 1 ) with the property that, for ay sequece of vertices v i (i = 0,..., k 1), the fuctios f (i+1) (s) = move(f (i), u i v i ) are also safe guard fuctios for ay sequece of vertices u i V (i) 1 i the eighbourhoods of v i ad all i = 0,..., k 1. The miimum weight of a k SSDF is deoted γ s,k(g) = (0) mi V 1, k FSDFs which is called the foolproof k secure domiatio umber of G. We therefore have the special cases γ r = γ r,1, γ r = γ r,1, γ s = γ s,1 ad γ s = γ s,1. The case k = 0 correspods to the situatio where o moves are allowed. So, for coveiece, let γ r,0 = γ r,0 = γ s,0 = γ s,0 = γ. Furthermore, the followig relatioships betwee the smart ad foolproof versios of the ewly defied parameters trivially hold, as a geeralisatio of (3). Propositio For ay graph G ad ay k N, γ r,k (G) γr,k (G) ad γ s,k (G) γs,k (G). The followig growth relatioships of the parameters with respect to icreasig values of k hold. Propositio 3 For ay graph G ad ay k N 0, (a) γ r,k (G) γ r,k+1 (G), (b) γ r,k (G) γ r,k+1 (G), (c) γ s,k (G) γ s,k+1 (G), (d) γ s,k (G) γ s,k+1 (G).

8 8 Proof: (a) Ay (k + 1) WRDF with miimum weight γ r,k+1 (G) for G is also a k WRDF for G, ad the weight of this last domiatig fuctio is bouded from below by γ r,k (G). The proofs of parts (b) (d) are similar. It is easy to see that the followig result is true. Lemma 1 For ay graph G ad ay edge e E(G), γ r,k (G) γ r,k (G e) ad γ s,k (G) γ s,k (G e), for all k N 0. This lemma may be used repeatedly to prove the followig two results. Propositio 4 If the vertex set of a graph G is partitioed ito two subsets S 1 ad S, the, for all k N 0, (a) γ r,k (G) γ r,k ( S 1 ) + γ r,k ( S ), (b) γ s,k (G) γ s,k ( S 1 ) + γ s,k ( S ). Propositio 5 If H is a spaig subgraph of G, the γ r,k (G) γ r,k (H) ad γ s,k (G) γ s,k (H) for all k N 0. Note that, i geeral, it is ot possible to establish results similar to those of Lemma 1 ad Propositios 4 ad 5 for the parameters γr,k (G) ad γs,k (G). For example, removig a edge may icrease or decrease the value of γs,1. This may be see by observig that γs,1(p 4 ) =, while γs,1(p 4 e) = γs,1(p 1 ) + γs,1(p 3 ) = 3. O the other had γs,(p 4 ) = 3, yet γs,(p 4 e) = γs,(p ) + γs,(p ) =. It is easily see that the followig result is true. Propositio 6 If G is a order graph such that, for some subset of vertices S = {v 1,..., v m } V (G), the graph G S possesses a perfect matchig, the, for all k N 0, γ s,k (G) m + m = m +. Fially, we coclude this sectio with a summary of relatioships betwee the various parameters cosidered i this sectio, as a geeralisatio of (4). Theorem The relatioships γ(g) γ r,k (G) γ s,k (G) γ(g) γ r,k (G) γ s,k (G) (7) hold for all k N.

9 9 4 Parameters for special graphs I this sectio we cosider a umber of simple graph classes ad fid values for the four ew fiite order domiatio parameters cosidered i this paper. 4.1 Paths For paths we establish three of the four fiite order parameter values precicely, as summarised i the followig theorem. Theorem 3 For ay path P,, k + 1 (a) γ r,k (P ) = γ s,k (P ) = 4k + 3, for all k N 0, { (b) γs,k (P k+1 ) = k+3 if k 1 if k 1. Proof: (a) It is first show that γ s,k (P ) k+1 4k+3 for the path P : v 1 v. Partitio the path P ito (l) 4k+3 subpaths P 4k+3 of legth 4k+3 (l = 1,..., 4k+3 ) ad oe (possibly empty) subpath P c : u 1 u u c of legth c (mod 4k+3), ad cosider the fuctio f = (V (0) 1 ), where V (0) 1 = {v i : i (mod 4k + 3) 0 (mod ), v i V (P4k+3 l )} {u j V (P c ) : j 1 (mod )} ad V (0) 0 = V (P )\V (0) 1. We shall show that f is a k SSDF for P, by showig that for ay sequece of k problem vertices there exist m k moves that reders safe guard fuctios f (i) for P (i = 0,..., k). È ½µ Þ Ð ß Þ Ð ß Þ Ð ß È Ò µ Ú½ Ú¾ Ú Ù½ Ù¾ Ù È We oly have to cosider the case where the whole sequece of problem vertices occurs i oe subpath P (l) 4k+3, because if there exists a move sequece that reders safe guard fuctios f (i) for P (l) 4k+3 (i = 0,..., k), give ay sequece of k problem vertices withi the subpath, the there also exists a move sequece that reders safe cofiguratios for fewer problem vertices withi the subpath. Sice either P c or P c v possesses a perfect matchig, it follows by Propositio 6 that γ s,k (P c ) = c/ ad hece there exists a move sequece wholly withi P c that reders safe cofiguratios for P c, give ay sequece of k 1 problem vertices i P c. Therefore cosider, without loss of geerality, a sequece of k problem vertices v ij V (P (1) 4k+3 ), j = 1,..., k. We cosider two mai cases:

10 10 Case A: v ij {v 4k+1, v 4k+, v 4k+3 } for all j = 1,..., k. I this case M 1 = k i=1 v i 1, v i is a perfect matchig of the subpath v 1,..., v 4k. Therefore γ s,k (P (1) 4k+3 ) k + 1, by utilisatio of Propositios 6 ad 4(b) ad Theorem. Case B: v ij {v 4k+1, v 4k+, v 4k+3 } for some j {1,..., k}. I this case we distiguish betwee two further subcases: Subcase B(i): v ij {v 1, v, v 3 } for all j = 1,..., k. I this subcase M = v i, v i+1 k+1 i= is a perfect matchig of the subpath v 4,..., v 4k+3. Hece we have, by a similar argumet as i Case A, that γ s,k (P (1) 4k+3 ) k + 1. Subcase B(ii): v ij {v 1, v, v 3 } for some j {1,..., k}. I this subcase there are at most k problem vertices i the subpath v 4,..., v 4k. But the it follows, by the pigeohole priciple, that there are at least 4 cosecutively labelled vertices that are ot problem vertices: suppose they are v l, v l+1, v l+, v l+3 (the case where the first of these labels is odd, is similar). The M 3 = l v i 1, v i ad M 4 = i=1 k+1 i=l+ v i, v i+1 are perfect matchigs of the subpaths P := v 1,..., v l ad P := v l+4,..., v 4k+3 respectively, ad we have, agai by Theorem ad Propostios 6 ad 4(b), that γ s,k ( P P ) k. Hece γ s,k (P (1) 4k+3 ) k + 1, because γ( v l+1, v l+, v l+3 ) = 1. Cosequetly we have, i all cases, that c k + 1 (γ r,k (P ) ) γ s,k (P ) (k + 1) + 4k + 3 4k + 3. (8) (The last iequality ca be proved by first showig that c = k+1 4k+3c if c < 4k + 3.) To prove that k + 1 (γ s,k (P ) ) γ r,k (P ) 4k + 3, (9)

11 11 suppose, to the cotrary, that γ r,k (P ) (k+1) 4k+3 1 = 4k+3 (k + 1) + c (i) 1. The there will be a subpath P 4k+3, i {1,..., 4k+3 }, cotaiig at most k vertices from V (0) 1 V (0), or else P c will cotai at most c 1 vertices from V (0) 1 V (0). We cosider the former possibility first. Suppose, without loss of geerality, that P (1) 4k+3 cotais at most k vertices from V (0) 1 V (0). Cosider the set of problem vertices I = {v 4l 1 : l = 1,..., k}. Because this is a idepedet set, I V (k) 1 V (k). Furthermore, because f (k) must be a safe guard fuctio, J = {v 4l+1 : l = 0,..., k} must be domiated by vertices i V (k) 1 V (k). But o vertex i I is adjacet to vertices i J. Therefore (V (k) 1 V (0) ) V (P (1) 4k+3 ) k + 1, wh ich is a cotradictio. Fially, if P c cotais oly c (0) 1 vertices from V 1 V (0), the we get a similar cotradictio by cosiderig the problem vertex sequece v 4l 1, l = 1,..., c 4, c 3. The desired result for γ r,k(p ) ad γ s,k (P ) therefore follows by a combiatio of (8) ad (9). (b) Cosider the case k. It is show first, by cotradictio, that every subpath P (i) k+3 : v i (mod ) v i+k+ (mod ) of legth k+3 withi P : v 0 v 1 v 1 cotais at least k + 1 vertices from V (0) 1 for ay k FSDF f (0) = (V (0) 1 ). Suppose, to the cotrary, that there exists such a subpath P (i) k+3 of P cotaiig oly k vertices from V (0) 1 (ad hece 3 vertices from V (0) 0 ). There is exactly oe possible case: Ú Ü Ú Ý Ú Þ ßÞ Ð ßÞ Ð ßÞ Ð ßÞ Ð Here dark vertices deote elemets of V (0) 1 ad a, b, c, d 0, with a + b + c + d = k. The sequeces of moves ad f (j+1) = move(f (j), v z 1 j v z j ), j = 0,..., c 1 f (c+l+1) = move(f (c+l), v x+l+1 v x+l ), l = 0,..., b 1 reder usafe cofiguratios i P after b + c moves, because v y V (b) 0 is ot adjacet to ay u V (b) 1. This cotradictio shows that V (P (i) k+3 ) V (0) 1 k + 1 for all i = 0, 1,..., 1. I order to fulfil this property, it follows that V (0) 1 (k + 1) k+1 k+3 + r, where r k+3c, rederig the lower boud k + 1 γs,k(p ) (k + 1) + k + 3 k + 3 c, if k, (10)

12 1 with c (mod k + 3). To see that this boud is sharp, partitio the path P ito (j) k+3 subpaths P k+3 : v j(k+3), v j(k+3)+1,..., v j(k+3)+k+ (j = 0,..., k+3 1) ad oe subpath P c : v /(k+3) (k+3),..., v 1 of legth c (mod k + 3). Cosider the safe guard fuctio f (0) = (V (1) 1 ), where P (j) (0) k+3 V 1 = {v i : i 1,,..., k, k+1 (mod k+3)}, j = 0,..., 1, k + 3 where P c V (0) 1 = { {vi : i 0, 1,..., c 1 (mod k + 3)} if 1 c k+ {v i : i 1,,..., c 1 (mod k + 3)} if k+ < c k + ad where V (0) 0 = V (P )\V (0) 1. Clearly f (0) is a k FSDF for P, ad hece γs,k(p ) w(f (0) ) (11) c + 1 = (k + 1) + (c + 1) k + 3 k + 3 (c + 1)(k + 3) = (k + 1) + c + 1 k + 3 k + 3 k + 3 k + k + 3 k + 1 = (k + 1) + k + 3 k + 3 c if k. (1) It follows by (10) ad (1) that k + 1 k + 1 γs,k(p ) = (k + 1) + k + 3 k + 3 c = k + 3, if k, where the last equality ca be proved by rewritig c i terms of ad k. Fially ote that k + 1 k + 3 = 1 if k =. It follows by Propositio 3 that for ay k. But certaily γ s,k(p ) γ s, (P ) = 1 (13) γ s,k(p ) 1 (14) for all k N. A combiatio of (13) ad (14) yields the desired result γs,k (P ) = 1 for all k.

13 13 Note that the correspodig case k = 1 i Theorem 3(b) was established i Theorem 1. Fially, we have the followig cojecture. Cojecture 1 γ r,k (P ) = γ s,k (P ) for ay N. 4. Cycles For cycles it is also possible to establish three of the fiite order parameter values exactly. Theorem 4 For ay cycle C, k + 1 (a) γ r,k (C ) = γ s,k (C ) = 4k + 3, for all k N 0, { (b) γs,k(c k+1 ) = k+3, if 0 k 3, if k 3. Proof: (a) The proof of this result is idetical to that of Theorem 3(a). (b) It ca be show, by exactly the same cotradictio argumet as i Theorem 3(b), that k + 1 γr,k(c ) (k + 1) + k + 3 k + 3 c, if k 3, (15) with c (mod k + 3). To see that this boud is sharp, partitio the cycle C ito (j) k+3 subpaths P k+3 : v j(k+3), v j(k+3)+1,..., v j(k+3)+k+ (j = 0,..., k+3 1) ad oe subpath P c : v /(k+3) (k+3),..., v 1 of legth c (mod k + 3). Cosider the safe guard fuctio f (0) = (V (1) 1 ), where V (C ) V (0) 0 = {v i : i k/ +, k+1 (mod k+3)}, j = 0,..., 1, k + 3 ad where V (0) 1 = V (C )\V (0) 0. Clearly f (0) is a k FSDF for C, ad hece γs,k(c ) w(f (0) ) (16) (k + 1) k+3 + c, if 0 c k + 1 (k + 1) k+3 + c 1, if k + < c k + k + 1 = k + 3 (17)

14 14 for all k 3, exactly as i the proof of Theorem 3(b). The desired result for k 3 therefore follows by a combiatio of (15) ad (17). Fially ote that k + 1 k + 3 = if k = 3. It follows by Propositio 3 that for ay k 3. But certaily γ s,k(c ) γ s, 3(C ) = (18) γ s,k(c ) (19) for all k N. A combiatio of (18) ad (19) yields the desired result γs,k (C ) = for all k Complete bipartite graphs I this sectio we cosider complete bipartite graphs ad fid values for γ s,k ad γs,k for this simple graph class. Theorem 5 For the complete bipartite graph K p,q, 4, k = 1 ad p 4 γ s,k (K p,q ) = γs,k(k (k + 1), 1 < k p p,q ) = p, p + 1 k < p q, k p where p, q N, with p q. Proof: It was show i [3] that γs,1(k p,q ) = 4 if p 4. I order to establish the other three cases, let P ad Q deote the partite sets of K p,q, with P = p ad Q = q. First, cosider the case 1 < k p. Note that f (0) = (V (0) 1 ) is a k FSDF if V (0) 1 P = k +1, V (0) 1 Q = k +1 ad V (0) 0 = V (K p,q )\V (0) 1 (as show i Figure 4.1(a)). Hece p γ s,k (K p,q ) γs,k(k p,q ) (k + 1) if 1 < k (0) by Theorem. Now assume that γ s,k (K p,q ) < (k + 1), the either V (0) 1 P k or V (0) 1 Q k. Assume, without loss of geerality, that V (0) 1 Q k. The o move sequece of the form f (i+1) = move(f (i), u i v i )

15 15 reders a safe guard fuctio f (k) for ay sequece of vertices u i P if v i Q (i = 0,..., k 1), sice { } p p 1 if p is eve + 1 = < p. p if p is odd This cotradictio shows that p γs,k(k p,q ) γ s,k (K p,q ) (k + 1) if 1 < k. (1) The secod case of the theorem therefore follows by a combiatio of (0) ad (1). Now, cosider the case p + 1 k < p ad let f (0) = (V (0) 1 ) be a k FSDF with V (0) 1 = l < p 1. Suppose Q V (0) 1 = c ad P V (0) 1 = l c for some 0 c l. Deote the elemets of the o empty set P V (0) 0 by {v 0,..., v p l+c 1 }, ad cosider the problem vertex sequece v i (i = 0,..., c 1). Clearly ay move sequece of the form move(f (i), u i v i ) with u i Q V (i) 1 (i = 0,..., c 1) will reder a usafe guard fuctio f (c) i K p,q. This cotradictio shows that γ s,k(k p,q ) γ s,k (K p,q ) p if p + 1 k < p. () To see that this boud is sharp, cosider the k FSDF f (0) = (V (0) 1 ) depicted i Figure 4.1(b), where dark vertices deote elemets of V (0) 1, by which it follows that γ s,k (K p,q ) γ s,k(k p,q ) p if p + 1 k < p. (3) The third case of the theorem therefore follows by a combiatio of () ad (3). Fially, cosider the case where k p ad suppose f (0) = (V (0) 1 ) is a p FSDF with V (0) 1 = l < q. Suppose P V (0) 1 = d ad Q V (0) 1 = l d for some 0 d l. Deote the elemets of the o empty set Q V (0) 0 by {v 0,..., v q l+d 1 }, ad cosider the problem vertex sequece v i (i = 0,..., d 1). Clearly ay move sequece of the form move(f (i), u i v i ) with u i Q V (0) 1 (i = 0,..., d 1) will reder a usafe guard fuctio f (d) i K p,q. This cotradictio shows that γ s,p (K p,q ) q. Hece But certaily γ s,k (K p,q ) q if k p. (4) γ s,k (K p,q ) q. (5) Hece the fourth case of the theorem follows by a combiatio of (4) ad (5).

16 16 ½ ÚÖØ È (a) 1 < k É ½ ÚÖØ p (b) Ô ÚÖØ È É p + 1 k < p È É (c) k p Õ ÚÖØ Figure 4.1: Foolproof k secure domiatig fuctios f (0) = (V (0) 1 ) for the complete bipartite graph K p,q (p q). Dark vertices deote elemets of V (0) 1. 5 Coclusio I this paper the previously studied otios of secure domiatio ad of weak Roma domiatio were geeralised i the sese that safe cofiguratios i a simple graph were ot merely sought after oe move, but rather after k 1 moves. Some geeral properties of these geeralised domiatio umbers were established i 3, after which the parameter values were foud for certai simple graph structures i 5. There is ample scope for the determiatio of parameter values for specific graph structures, such as the values of γ r,k (P ) ad γ r,k (C ), the various parameter values for complete multipartite graphs, etc. Further work may ivolve a umber of iterestig geeralisatios: (i) I our work the problem vertex sequece was always kow completely i advace by the strategist. However, the situatio where these problem vertices are made kow (ad are dealt with) oe at a time might be a more realistic sceario i terms of games of strategy, ad this geeralisatio deserves to be ivestigated. (ii) It might also be worth while allowig for a umber of cosecutive moves before requirig the graph to be protected, istead of requirig safe cofiguratios after each move (similar to the watchma s walk problem described i [4]). Ackowledgemets A.P. Burger, E.C. Cockaye & C.M. Myhardt were visitig the Departmet of Applied Mathematics at Stellebosch Uiversity whe research towards this paper was doe. The paper is based upo work supported by

17 17 the South Africa Natioal Research Foudatio uder grat umber GUN ad Research Sub Committee B at the Uiversity of Stellebosch. Ay opiios, fidigs ad coclusios or recommedatios expressed i this paper are those of the authors ad do ot ecessarily reflect the views of the Natioal Research Foudatio. Refereces [1] E.J. Cockaye, P.A. Dreyer, S.M. Hedetiemi ad S.T. Hedetiemi, Roma domiatio i graphs, to appear i Discrete Math. [] E.J. Cockaye, O. Favaro ad C.M. Myhardt, Secure domiatio, weak Roma domiatio ad forbidde subgraphs, to appear i Bull. Ist. Combi. Appl. [3] E.J. Cockaye, P.J.P. Grobler, W.R. Grüdligh, J. Mugaga ad J.H. va Vuure, Protectio of a graph, to appear i Utilitas Math. [4] B.L. Hartell, D.F. Rall ad C.A. Whitehead, The watchma s walk problem: A itroductio, Cog. Numer., 130 (1998), [5] T.W. Hayes, S.T. Hedetiemi ad P.J. Slater, Fudametals of Domiatio i Graphs, Marcel Dekker, New York, [6] M.A. Heig ad S.M. Hedetiemi, Defedig the Roma Empire A ew strategy, to appear i Discrete Math. [7] I. Stewart, Defed the Roma Empire!, Scietific America, December 1999,

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

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

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

Bertrand s Postulate

Bertrand s Postulate Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a

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

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

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

(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

Weakly Connected Closed Geodetic Numbers of Graphs

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

More information

Alliance Partition Number in Graphs

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

More information

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

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

More information

Chapter 0. Review of set theory. 0.1 Sets

Chapter 0. Review of set theory. 0.1 Sets Chapter 0 Review of set theory Set theory plays a cetral role i the theory of probability. Thus, we will ope this course with a quick review of those otios of set theory which will be used repeatedly.

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

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

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

# 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

Disjoint Systems. Abstract

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

More information

The 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

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

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

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

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

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

On the Signed Domination Number of the Cartesian Product of Two Directed Cycles

On the Signed Domination Number of the Cartesian Product of Two Directed Cycles Ope Joural of Dicrete Mathematic, 205, 5, 54-64 Publihed Olie July 205 i SciRe http://wwwcirporg/oural/odm http://dxdoiorg/0426/odm2055005 O the Siged Domiatio Number of the Carteia Product of Two Directed

More information

Mathematical Induction

Mathematical Induction Mathematical Iductio Itroductio Mathematical iductio, or just iductio, is a proof techique. Suppose that for every atural umber, P() is a statemet. We wish to show that all statemets P() are true. I a

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

Beurling Integers: Part 2

Beurling Integers: Part 2 Beurlig Itegers: Part 2 Isomorphisms Devi Platt July 11, 2015 1 Prime Factorizatio Sequeces I the last article we itroduced the Beurlig geeralized itegers, which ca be represeted as a sequece of real umbers

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

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

Injections, Surjections, and the Pigeonhole Principle

Injections, Surjections, and the Pigeonhole Principle Ijectios, Surjectios, ad the Pigeohole Priciple 1 (10 poits Here we will come up with a sloppy boud o the umber of parethesisestigs (a (5 poits Describe a ijectio from the set of possible ways to est pairs

More information

4.1 Sigma Notation and Riemann Sums

4.1 Sigma Notation and Riemann Sums 0 the itegral. Sigma Notatio ad Riema Sums Oe strategy for calculatig the area of a regio is to cut the regio ito simple shapes, calculate the area of each simple shape, ad the add these smaller areas

More information

COM BIN A TOR I A L TOURNAMENTS THAT ADMIT EXACTLY ONE HAMILTONIAN CIRCUIT

COM BIN A TOR I A L TOURNAMENTS THAT ADMIT EXACTLY ONE HAMILTONIAN CIRCUIT a 7 8 9 l 3 5 2 4 6 6 7 8 9 2 4 3 5 a 5 a 2 7 8 9 3 4 6 1 4 6 1 3 7 8 9 5 a 2 a 6 5 4 9 8 7 1 2 3 8 6 1 3 1 7 1 0 6 5 9 8 2 3 4 6 1 3 5 7 0 9 3 4 0 7 8 9 9 8 7 3 2 0 4 5 6 1 9 7 8 1 9 8 7 4 3 2 5 6 0 YEA

More information

(ii) Two-permutations of {a, b, c}. Answer. (B) P (3, 3) = 3! (C) 3! = 6, and there are 6 items in (A). ... Answer.

(ii) Two-permutations of {a, b, c}. Answer. (B) P (3, 3) = 3! (C) 3! = 6, and there are 6 items in (A). ... Answer. SOLUTIONS Homewor 5 Due /6/19 Exercise. (a Cosider the set {a, b, c}. For each of the followig, (A list the objects described, (B give a formula that tells you how may you should have listed, ad (C verify

More information

7 Sequences of real numbers

7 Sequences of real numbers 40 7 Sequeces of real umbers 7. Defiitios ad examples Defiitio 7... A sequece of real umbers is a real fuctio whose domai is the set N of atural umbers. Let s : N R be a sequece. The the values of s are

More information

Sequences and Series of Functions

Sequences and Series of Functions Chapter 6 Sequeces ad Series of Fuctios 6.1. Covergece of a Sequece of Fuctios Poitwise Covergece. Defiitio 6.1. Let, for each N, fuctio f : A R be defied. If, for each x A, the sequece (f (x)) coverges

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

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

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

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

Lecture Overview. 2 Permutations and Combinations. n(n 1) (n (k 1)) = n(n 1) (n k + 1) =

Lecture Overview. 2 Permutations and Combinations. n(n 1) (n (k 1)) = n(n 1) (n k + 1) = COMPSCI 230: Discrete Mathematics for Computer Sciece April 8, 2019 Lecturer: Debmalya Paigrahi Lecture 22 Scribe: Kevi Su 1 Overview I this lecture, we begi studyig the fudametals of coutig discrete objects.

More information

Appendix to Quicksort Asymptotics

Appendix to Quicksort Asymptotics Appedix to Quicksort Asymptotics James Alle Fill Departmet of Mathematical Scieces The Johs Hopkis Uiversity jimfill@jhu.edu ad http://www.mts.jhu.edu/~fill/ ad Svate Jaso Departmet of Mathematics Uppsala

More information

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS

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

More information

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

Different kinds of Mathematical Induction

Different kinds of Mathematical Induction Differet ids of Mathematical Iductio () Mathematical Iductio Give A N, [ A (a A a A)] A N () (First) Priciple of Mathematical Iductio Let P() be a propositio (ope setece), if we put A { : N p() is true}

More information

Section 5.1 The Basics of Counting

Section 5.1 The Basics of Counting 1 Sectio 5.1 The Basics of Coutig Combiatorics, the study of arragemets of objects, is a importat part of discrete mathematics. I this chapter, we will lear basic techiques of coutig which has a lot of

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

Square-Congruence Modulo n

Square-Congruence Modulo n Square-Cogruece Modulo Abstract This paper is a ivestigatio of a equivalece relatio o the itegers that was itroduced as a exercise i our Discrete Math class. Part I - Itro Defiitio Two itegers are Square-Cogruet

More information

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function.

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function. MATH 532 Measurable Fuctios Dr. Neal, WKU Throughout, let ( X, F, µ) be a measure space ad let (!, F, P ) deote the special case of a probability space. We shall ow begi to study real-valued fuctios defied

More information

A Hadamard-type lower bound for symmetric diagonally dominant positive matrices

A Hadamard-type lower bound for symmetric diagonally dominant positive matrices A Hadamard-type lower boud for symmetric diagoally domiat positive matrices Christopher J. Hillar, Adre Wibisoo Uiversity of Califoria, Berkeley Jauary 7, 205 Abstract We prove a ew lower-boud form of

More information

Convergence of random variables. (telegram style notes) P.J.C. Spreij

Convergence of random variables. (telegram style notes) P.J.C. Spreij Covergece of radom variables (telegram style otes).j.c. Spreij this versio: September 6, 2005 Itroductio As we kow, radom variables are by defiitio measurable fuctios o some uderlyig measurable space

More information

The Boolean Ring of Intervals

The Boolean Ring of Intervals MATH 532 Lebesgue Measure Dr. Neal, WKU We ow shall apply the results obtaied about outer measure to the legth measure o the real lie. Throughout, our space X will be the set of real umbers R. Whe ecessary,

More information

Fundamental Theorem of Algebra. Yvonne Lai March 2010

Fundamental Theorem of Algebra. Yvonne Lai March 2010 Fudametal Theorem of Algebra Yvoe Lai March 010 We prove the Fudametal Theorem of Algebra: Fudametal Theorem of Algebra. Let f be a o-costat polyomial with real coefficiets. The f has at least oe complex

More information

Hoggatt and King [lo] defined a complete sequence of natural numbers

Hoggatt and King [lo] defined a complete sequence of natural numbers REPRESENTATIONS OF N AS A SUM OF DISTINCT ELEMENTS FROM SPECIAL SEQUENCES DAVID A. KLARNER, Uiversity of Alberta, Edmoto, Caada 1. INTRODUCTION Let a, I deote a sequece of atural umbers which satisfies

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

REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS

REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS 18th Feb, 016 Defiitio (Lipschitz fuctio). A fuctio f : R R is said to be Lipschitz if there exists a positive real umber c such that for ay x, y i the domai

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

CSE 191, Class Note 05: Counting Methods Computer Sci & Eng Dept SUNY Buffalo

CSE 191, Class Note 05: Counting Methods Computer Sci & Eng Dept SUNY Buffalo Coutig Methods CSE 191, Class Note 05: Coutig Methods Computer Sci & Eg Dept SUNY Buffalo c Xi He (Uiversity at Buffalo CSE 191 Discrete Structures 1 / 48 Need for Coutig The problem of coutig the umber

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 fractional chromatic number, the chromatic number, and graph products

On the fractional chromatic number, the chromatic number, and graph products O the fractioal chromatic umber, the chromatic umber, ad graph products Sadi Klavžar 1 Departmet of Mathematics, PEF, Uiversity of Maribor, Koroška cesta 160, 2000 Maribor, Sloveia e-mail: sadi.klavzar@ui-lj.si

More information

SOME TRIBONACCI IDENTITIES

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

More information

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

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number MATH 532 Itegrable Fuctios Dr. Neal, WKU We ow shall defie what it meas for a measurable fuctio to be itegrable, show that all itegral properties of simple fuctios still hold, ad the give some coditios

More information

Binary codes from graphs on triples and permutation decoding

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

More information

DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES

DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES DANIELA KÜHN AND DERYK OSTHUS Abstract. I 1973 Bermod, Germa, Heydema ad Sotteau cojectured that if divides (, the the complete

More information

End-of-Year Contest. ERHS Math Club. May 5, 2009

End-of-Year Contest. ERHS Math Club. May 5, 2009 Ed-of-Year Cotest ERHS Math Club May 5, 009 Problem 1: There are 9 cois. Oe is fake ad weighs a little less tha the others. Fid the fake coi by weighigs. Solutio: Separate the 9 cois ito 3 groups (A, B,

More information

On a Smarandache problem concerning the prime gaps

On a Smarandache problem concerning the prime gaps O a Smaradache problem cocerig the prime gaps Felice Russo Via A. Ifate 7 6705 Avezzao (Aq) Italy felice.russo@katamail.com Abstract I this paper, a problem posed i [] by Smaradache cocerig the prime gaps

More information

FIXED POINTS OF n-valued MULTIMAPS OF THE CIRCLE

FIXED POINTS OF n-valued MULTIMAPS OF THE CIRCLE FIXED POINTS OF -VALUED MULTIMAPS OF THE CIRCLE Robert F. Brow Departmet of Mathematics Uiversity of Califoria Los Ageles, CA 90095-1555 e-mail: rfb@math.ucla.edu November 15, 2005 Abstract A multifuctio

More information

Geometry of LS. LECTURE 3 GEOMETRY OF LS, PROPERTIES OF σ 2, PARTITIONED REGRESSION, GOODNESS OF FIT

Geometry of LS. LECTURE 3 GEOMETRY OF LS, PROPERTIES OF σ 2, PARTITIONED REGRESSION, GOODNESS OF FIT OCTOBER 7, 2016 LECTURE 3 GEOMETRY OF LS, PROPERTIES OF σ 2, PARTITIONED REGRESSION, GOODNESS OF FIT Geometry of LS We ca thik of y ad the colums of X as members of the -dimesioal Euclidea space R Oe ca

More information

Analytic Continuation

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

More information

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

Math 220A Fall 2007 Homework #2. Will Garner A

Math 220A Fall 2007 Homework #2. Will Garner A Math 0A Fall 007 Homewor # Will Garer Pg 3 #: Show that {cis : a o-egative iteger} is dese i T = {z œ : z = }. For which values of q is {cis(q): a o-egative iteger} dese i T? To show that {cis : a o-egative

More information

Recursive Algorithm for Generating Partitions of an Integer. 1 Preliminary

Recursive Algorithm for Generating Partitions of an Integer. 1 Preliminary Recursive Algorithm for Geeratig Partitios of a Iteger Sug-Hyuk Cha Computer Sciece Departmet, Pace Uiversity 1 Pace Plaza, New York, NY 10038 USA scha@pace.edu Abstract. This article first reviews the

More information

Disjoint set (Union-Find)

Disjoint set (Union-Find) CS124 Lecture 7 Fall 2018 Disjoit set (Uio-Fid) For Kruskal s algorithm for the miimum spaig tree problem, we foud that we eeded a data structure for maitaiig a collectio of disjoit sets. That is, we eed

More information

Lecture XVI - Lifting of paths and homotopies

Lecture XVI - Lifting of paths and homotopies Lecture XVI - Liftig of paths ad homotopies I the last lecture we discussed the liftig problem ad proved that the lift if it exists is uiquely determied by its value at oe poit. I this lecture we shall

More information

Spectral Partitioning in the Planted Partition Model

Spectral Partitioning in the Planted Partition Model Spectral Graph Theory Lecture 21 Spectral Partitioig i the Plated Partitio Model Daiel A. Spielma November 11, 2009 21.1 Itroductio I this lecture, we will perform a crude aalysis of the performace of

More information

The Minimum Distance Energy for Polygonal Unknots

The Minimum Distance Energy for Polygonal Unknots The Miimum Distace Eergy for Polygoal Ukots By:Johaa Tam Advisor: Rollad Trapp Abstract This paper ivestigates the eergy U MD of polygoal ukots It provides equatios for fidig the eergy for ay plaar regular

More information

2.1. The Algebraic and Order Properties of R Definition. A binary operation on a set F is a function B : F F! F.

2.1. The Algebraic and Order Properties of R Definition. A binary operation on a set F is a function B : F F! F. CHAPTER 2 The Real Numbers 2.. The Algebraic ad Order Properties of R Defiitio. A biary operatio o a set F is a fuctio B : F F! F. For the biary operatios of + ad, we replace B(a, b) by a + b ad a b, respectively.

More information

DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES

DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES DECOMPOSITIONS OF COMPLETE UNIFORM HYPERGRAPHS INTO HAMILTON BERGE CYCLES DANIELA KÜHN AND DERYK OSTHUS Abstract. I 1973 Bermod, Germa, Heydema ad Sotteau cojectured that if divides (, the the complete

More information

Math 61CM - Solutions to homework 3

Math 61CM - Solutions to homework 3 Math 6CM - Solutios to homework 3 Cédric De Groote October 2 th, 208 Problem : Let F be a field, m 0 a fixed oegative iteger ad let V = {a 0 + a x + + a m x m a 0,, a m F} be the vector space cosistig

More information

Randomized Algorithms I, Spring 2018, Department of Computer Science, University of Helsinki Homework 1: Solutions (Discussed January 25, 2018)

Randomized Algorithms I, Spring 2018, Department of Computer Science, University of Helsinki Homework 1: Solutions (Discussed January 25, 2018) Radomized Algorithms I, Sprig 08, Departmet of Computer Sciece, Uiversity of Helsiki Homework : Solutios Discussed Jauary 5, 08). Exercise.: Cosider the followig balls-ad-bi game. We start with oe black

More information

SEQUENCES AND SERIES

SEQUENCES AND SERIES Sequeces ad 6 Sequeces Ad SEQUENCES AND SERIES Successio of umbers of which oe umber is desigated as the first, other as the secod, aother as the third ad so o gives rise to what is called a sequece. Sequeces

More information

Alternating Series. 1 n 0 2 n n THEOREM 9.14 Alternating Series Test Let a n > 0. The alternating series. 1 n a n.

Alternating Series. 1 n 0 2 n n THEOREM 9.14 Alternating Series Test Let a n > 0. The alternating series. 1 n a n. 0_0905.qxd //0 :7 PM Page SECTION 9.5 Alteratig Series Sectio 9.5 Alteratig Series Use the Alteratig Series Test to determie whether a ifiite series coverges. Use the Alteratig Series Remaider to approximate

More information

The 4-Nicol Numbers Having Five Different Prime Divisors

The 4-Nicol Numbers Having Five Different Prime Divisors 1 2 3 47 6 23 11 Joural of Iteger Sequeces, Vol. 14 (2011), Article 11.7.2 The 4-Nicol Numbers Havig Five Differet Prime Divisors Qiao-Xiao Ji ad Mi Tag 1 Departmet of Mathematics Ahui Normal Uiversity

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

TEACHER CERTIFICATION STUDY GUIDE

TEACHER CERTIFICATION STUDY GUIDE COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra

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

The multiplicative structure of finite field and a construction of LRC

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

More information

subcaptionfont+=small,labelformat=parens,labelsep=space,skip=6pt,list=0,hypcap=0 subcaption ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, 2/16/2016

subcaptionfont+=small,labelformat=parens,labelsep=space,skip=6pt,list=0,hypcap=0 subcaption ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, 2/16/2016 subcaptiofot+=small,labelformat=pares,labelsep=space,skip=6pt,list=0,hypcap=0 subcaptio ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, /6/06. Self-cojugate Partitios Recall that, give a partitio λ, we may

More information

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the

More information

Homework 3. = k 1. Let S be a set of n elements, and let a, b, c be distinct elements of S. The number of k-subsets of S is

Homework 3. = k 1. Let S be a set of n elements, and let a, b, c be distinct elements of S. The number of k-subsets of S is Homewor 3 Chapter 5 pp53: 3 40 45 Chapter 6 p85: 4 6 4 30 Use combiatorial reasoig to prove the idetity 3 3 Proof Let S be a set of elemets ad let a b c be distict elemets of S The umber of -subsets of

More information

Exercises 1 Sets and functions

Exercises 1 Sets and functions Exercises 1 Sets ad fuctios HU Wei September 6, 018 1 Basics Set theory ca be made much more rigorous ad built upo a set of Axioms. But we will cover oly some heuristic ideas. For those iterested studets,

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

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

Riemann Sums y = f (x)

Riemann Sums y = f (x) Riema Sums Recall that we have previously discussed the area problem I its simplest form we ca state it this way: The Area Problem Let f be a cotiuous, o-egative fuctio o the closed iterval [a, b] Fid

More information

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece,, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet as

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

Keywords: Last-Success-Problem; Odds-Theorem; Optimal stopping; Optimal threshold AMS 2010 Mathematics Subject Classification 60G40, 62L15

Keywords: Last-Success-Problem; Odds-Theorem; Optimal stopping; Optimal threshold AMS 2010 Mathematics Subject Classification 60G40, 62L15 CONCERNING AN ADVERSARIAL VERSION OF THE LAST-SUCCESS-PROBLEM arxiv:8.0538v [math.pr] 3 Dec 08 J.M. GRAU RIBAS Abstract. There are idepedet Beroulli radom variables with parameters p i that are observed

More information

MATH 324 Summer 2006 Elementary Number Theory Solutions to Assignment 2 Due: Thursday July 27, 2006

MATH 324 Summer 2006 Elementary Number Theory Solutions to Assignment 2 Due: Thursday July 27, 2006 MATH 34 Summer 006 Elemetary Number Theory Solutios to Assigmet Due: Thursday July 7, 006 Departmet of Mathematical ad Statistical Scieces Uiversity of Alberta Questio [p 74 #6] Show that o iteger of the

More information

Polynomial identity testing and global minimum cut

Polynomial identity testing and global minimum cut CHAPTER 6 Polyomial idetity testig ad global miimum cut I this lecture we will cosider two further problems that ca be solved usig probabilistic algorithms. I the first half, we will cosider the problem

More information

Available online at J. Math. Comput. Sci. 2 (2012), No. 3, ISSN:

Available online at   J. Math. Comput. Sci. 2 (2012), No. 3, ISSN: Available olie at http://scik.org J. Math. Comput. Sci. 2 (202, No. 3, 656-672 ISSN: 927-5307 ON PARAMETER DEPENDENT REFINEMENT OF DISCRETE JENSEN S INEQUALITY FOR OPERATOR CONVEX FUNCTIONS L. HORVÁTH,

More information