The Local Harmonious Chromatic Problem

Size: px
Start display at page:

Download "The Local Harmonious Chromatic Problem"

Transcription

1 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 of Sciece ad Techology, Taipei, Taiwa Departmet of Computer Sciece ad Iformatio Maagemet, Soochow Uiversity, Taipei, Taiwa Abstract The harmoious chromatic umber of graph G, deoted h(g), is the least umber of colors which ca be used to color V (G) such that adjacet vertices are colored differetly ad each color-pair occurs o the vertices of a edge at most oce. I this paper, we geeralize the above problem to be the local harmoious chromatic problem. The local harmoious chromatic problem restricts that the differet color-pair requiremet is oly asked to be satisfied for every edge withi distace d for ay vertex. 1 Itroductio I [7], Frak, Harary, ad Platholt defied that a k-colorig of a graph G is a map f : V (G) C such that C = k. If f(v) = c 1 ad f(w) = c for adjacet v ad w, we say that the color-pair {c 1, c } is preset at the edge vw. A k-colorig is lie-distiguishig if o color-pair is preset at more tha oe edge, ad the liedistiguishig chromatic umber of G, deoted λ(g), is the miimum k such that G has a liedistiguishig k-colorig. Hopcroft ad Krishamoorthy [10] idepedetly studied the above problem ad called λ(g) the harmoious colorig umber. They called the problem to determie whether λ(g) k the harmoious colorig problem ad proved that the harmoious colorig problem is NP-complete. This work was supported i part by the Natioal Sciece Coucil of the Republic of Chia uder the cotract NSC 97-1-E MY3. Correspodig author. I [1], Miller ad Pritiki added oe more coditio to these colorigs, amely that adjacet vertices receive distict colors ad called the problem the harmoious chromatic problem. I the appedix of [10], David S. Johso already gave a very simple proof of the NP-completeess of the harmoious chromatic problem. I this paper, we follow Miller ad Pritiki s defiitio. Specifically, a harmoious k-colorig of graph G is a k- colorig with adjacet vertices receivig differet colors ad all edges receivig differet color-pairs. The harmoious chromatic umber of G, deoted h(g), is the miimum k for which G has a harmoious k-colorig. Determiig whether G ca be colored harmoiously by k colors is also NPcomplete o trees [5] ad iterval graphs []. I this paper, we geeralize the harmoious colorig problem to be the local harmoious chromatic problem. The local harmoious chromatic problem restricts the differet color-pair requiremet oly eeded to be satisfied for every edge withi distace d for ay vertex. Formally, a k- colorig is a d-harmoious colorig if every colorpair is preset at most oce for every edge withi distace d of ay vertex v V (G), ad the d-harmoious chromatic umber of G, deoted h d (G), is the miimum k such that G has a d- harmoious colorig. Clearly, the origial harmoious chromatic problem is the -harmoious chromatic problem if V (G) = ; or, more precisely, the x/ -harmoious chromatic problem if x is the diameter of G. The rest of this paper is orgaized as follows. I Sectio, we prove that the 1-harmoious chromatic problem for geeral graphs is NP-complete. I Sectio 3, we itroduce how to fid the d- harmoious chromatic umber of paths. I Sec- 37

2 The 7th Workshop o Combiatorial Mathematics ad Computatio Theory tios ad 5, we are cocered with the d- harmoious chromatic umber of cycles for ay positive iteger d. Fially, our cocludig remarks are give i Sectio 6. Local harmoious chromatic umbers of paths I this paper, we cosider oly simple graphs G with vertex set V (G) ad edge set E(G). For defiitios of graph theoretic terms see Harary [9]. Sice the harmoious colorig problem is NPcomplete, determiig whether h (G) k is also NP-complete. I the followig, we prove that the 1-harmoious chromatic problem, i.e., determiig whether h 1 (G) k, is also NP-complete. Theorem 1. The 1-harmoious chromatic problem for geeral graphs is NP-complete. I the rest of this sectio, we shall derive the d- harmoious chromatic umber for a path P, i.e., h d (P ). The followig two propositios will be used to derive h d (P ). Propositio. A graph G is d-harmoious colorig if ad oly if o color-pair appears more tha oce for every subpath P d+1 i G. Propositio 3. Assume that x is the diameter of G. The h d (G) = h(g) for every d x/. As metioed i [7], Frak et al. used a trail o a complete graph to determie the harmoious colors of P ad C. For example, the Euleria circuit 1,,3,,5,1,3,5,,,1 of K 5 as show i Figure 1(a) ca be used to color the edges of C 10 (see Figure 1(b)) ad P 11 (see Figure 1(c)). { Accordigly, they derived } λ(p ) = mi, { ad λ(c ) = mi }, I the followig, we use lec(g) to stad for the legth of a Euleria subgraph which has the maximum possible umber of edges i E(G). It is obvious that lec(k ) = ( ( ) if is odd; ad ) otherwise. By usig a similar techique, Miller ad Pritiki [1] proposed the followig theorem for calculatig h(p ). Theorem (Miller ad Pritiki [1]). h(p ) = { k for all lec(kk 1 ) < 1 lec(k k ) + 1 k + 1 for all lec(k k ) + 1 < 1 lec(k k+1 ). 3 1 (a) K (c) P (b) C 10 Figure 1: Colorig paths or cycles with a aided Euler circuit. We ca also use a similar techique to fid h d (P ) as the followig theorem. Theorem 5. If d + 1, the h d (P ) = h(p ); otherwise, h d (P ) = { k for all lec(kk 1 ) < d lec(k k ) k + 1 for all lec(k k ) < d lec(k k+1 ). 3 Periodical tables I this sectio, we are cocered with the d- harmoious chromatic umber of C. First we defie some terms which will be used later. A graph is pacyclic if it has cycles of every legth ragig from 3 to [1, 3, 8, 13]. Clearly, K is pacyclic. We exted the defiitio of pacyclic to x-pacircuitous. A graph is a x-pacircuitous graph if it has circuits of every legth ragig from 3 to x. The reaso why addig a x before pacircuitous is that, eve for K, there are o T lec(k) 1 ad T lec(k) i K if is a odd umber. If is eve, the there do ot exist circuits of every legth ragig from ( ) ( + 1 to ). To emphasize that Clec(K) 1 ad C lec(k) caot be d-harmoiously colored by colors, these two umbers lec(k ) 1 ad lec(k ) are called the first -pump umber ad the secod -pump umber, respectively, for odd iteger 5 (or -pump umbers for short). For example, umbers 8 ad 9 are the secod ad the first, respectively, 5-pump umbers while 19 ad 0 are the secod ad the first, respectively, 7- pump umbers. We use the followig propositio to describe the abset circuits i K whe is odd. Propositio 6. If ( 5) is a odd iteger, the K has o T x where x is the first or the secod -pump umber

3 The 7th Workshop o Combiatorial Mathematics ad Computatio Theory Note that if a graph is x-pacircuitous, x > 3, the it must be (x 1)-pacircuitous. However, by Propositio 6, it might ot be (x+1)-pacircuitous eve if x + 1 < ( ). The pacircuit umber of G, deoted p(g), is the maximum k such that G is k-pacircuitous. For iteger d 1, a clique K k is said to be the critical clique with respect to d, abbreviated as d-critical clique, if it is the clique with the smallest k such that K k has T d+1. I the rest of this paper, we use K α to deote the d-critical clique. Lemma 7 describes the value for p(k ) while Lemma 8 gives a ecessary ad sufficiet coditio for a d-critical clique which is ot (d + 1)-pacircuitous. Lemma 7. For a complete graph K,, { lec(k ) 3 if is odd p(k ) = lec(k ) if is eve. Lemma 8. For a d-critical clique K α with d, K α is ot (d+1)-pacircuitous if ad oly if α = (1 + 16d + 9)/ is a odd umber. Sice there exist pump umbers, h(c ) caot be computed exactly the same as the computatio of h(p ). After takig ito cosideratio of pump umbers, we ca obtai the followig theorem. Theorem 9. If lec(k k 1 ) < lec(k k ) + 1, the h(c ) = k; otherwise, h(c ) is equal to { k + 1 if is ot a (k + 1)-pump umber, k + if is a (k + 1)-pump umber. Lemma 10. For 3 d 1, h d (C ) = h(c ). Corollary 11. For d ad d < d 1, h d (C +1 ) h d (C ) 1. Lemma 1. If K α is the d-critical clique, the lec(k α ) d 1. By Lemma 10, fidig h d (C ), for d, ca be trasformed to the problem of determiig whether ca be composed of umbers x with d x d 1 such that the maximum h d (C x ) amog all compositio umbers is miimum. For brevity, whe sayig the legth of a cycle is composed of the legths of aother two cycles, we simply say that a cycle ca be composed of aother two cycles. For ease of descriptio, we defie a periodical table as follows. Give a iteger d, a periodical table with respect to d, deoted PT d, is a table of d rows ad a ifiite umber of colums. Etry (i, j) of PT d, deoted PT d (i, j), cotais cycle C with = jd + i 1. Sice every = jd + i 1 with itegers j > 1 ad 1 i d ca be expressed as = (j 1)d+(d+i 1), ca be composed of d ad d + i 1. This gives a trivial upper boud of h d (C ) max{h d (C d ), h d (C d+i 1 )} for d. To fid the exact value of h d (C ) for d, we eed to fid a compositio of which results i the exact value of h d (C ). For example, see Table 1 for illustratig a periodical table with d = 3. The etries i the first colum of Table 1 are PT 3 (1, 1), PT 3 (, 1),..., PT 3 (6, 1) which cotai C 6, C 7,..., C 11, respectively. By Lemma 10, all h 3 (C ) = h(c ) for 6 11 which are show i the first colum of Table 1. Sice all of umbers = 1, 18,..., are multiples of d(= 6), h 3 (C ) = 5 for = 1, 18,.... Number 1 ca be composed of by usig oly 7, i.e., 1 = The, by repeatig the colors for C 7 twice o C 1, we ca obtai h 3 (C 1 ) = h 3 (C 7 ) = 5. Note that 1 is also equal to 8 + 6; however, i this compositio, max{h 3 (C 8 ), h 3 (C 6 )} = max{6, } = 6 which is ot the smallest value for h 3 (C 1 ). The other compositios for cycles i colum of Table 1 are 13 = 7+6, 15 = 9+6, 16 = 10+6, ad 17 = 10+7 whose correspodig h 3 (C ) are show i the secod colum of Table 1. Note that 15 ca be composed either of or 8 + 7; however, both of these two compositios result i h 3 (C 15 ) = 6. I the third colum of Table 1, 1 = ad h 3 (C 1 ) = 5. The other values of i colum 3, i.e., PT 3 (i, 3) with = 3 d + i 1, ca be expressed as = d+( d+i 1), which is a compositio of d(= 6) ad ( d + i 1). Note that d + i 1 represets the etry PT 3 (i, ) which is the previous etry i the same row of PT 3 (i, 3). Similarly, we ca obtai h 3 (C ) for cycles i colum of Table 1. Note that, by addig d to the idex of each cycle i the fourth colum, we ca obtai the cycles i the fifth colum of Table 1. Thus, their h d (C ) ca also be foud. Similarly, we ca fid h d (C ) for the remaiig cycles. From the above aalysis, we ca fid h 3 (C ) for 3 as the followig theorem. Theorem 13. if = 3, For 3, h 3 (C ) = 6 if = 8, 9, 11, 15 5 otherwise. Note that PT 1 (1, 1) results i = ad o cycle of legth. This reveals that the case where d = 1 is a special case i fidig h d (C ) by usig the periodical table. Therefore, we cosider this case separately i the followig theorem ad assume that d i the rest of this paper. 39

4 The 7th Workshop o Combiatorial Mathematics ad Computatio Theory Table 1: Periodical table h 3 (C ) for 6 9 h 3 (C 6 ) = 5 h 3 (C 1 ) = 5 h 3 (C 18 ) = 5 h 3 (C ) = 5 h 3 (C 7 ) = 5 h 3 (C 13 ) = 5 h 3 (C 19 ) = 5 h 3 (C 5 ) = 5 h 3 (C 8 ) = 6 h 3 (C 1 ) = 5 h 3 (C 0 ) = 5 h 3 (C 6 ) = 5 h 3 (C 9 ) = 6 h 3 (C 15 ) = 6 h 3 (C 1 ) = 5 h 3 (C 7 ) = 5 h 3 (C 10 ) = 5 h 3 (C 16 ) = 5 h 3 (C ) = 5 h 3 (C 8 ) = 5 h 3 (C 11 ) = 6 h 3 (C 17 ) = 5 h 3 (C 3 ) = 5 h 3 (C 9 ) = 5 Theorem 1. 3 if = 3i, for ay iteger i 1 h 1 (C ) = 5 if = 5 otherwise. Lemma 15 describes a basic property o the compositio of cycle legths i periodical tables. Lemma 15. Let C x be the cycle i PT d (i, j) for itegers i, j 1. The, there exist a pair of cycles C y ad C z which are i PT d (m, 1) ad PT d (i m+1, j 1), respectively, for ay 1 m i, such that x = y + z. Local harmoious chromatic umbers of cycles Based o the periodical table, we shall discuss the compositio of umber for d uder the d-harmoious costrait i order to fid h d (C ). Recall that K α is the d-critical clique. By Corollary 11, the possible values of h d (C d ) is α 1, α, ad α + 1. Accordig to the possible values of h d (C d ) ad the parity of α, we classify periodical tables with respect to d ito the followig eight classes: (1) h d (C d ) = α 1 ad d + 1 is the secod (α 1)-pump umber, () h d (C d ) = α 1, α is eve, ad lec(k α 1 ) = d, (3) h d (C d ) = α 1 ad α is odd, () h d (C d ) = α ad d + 1 is the first (α 1)- pump umber, (5) h d (C d ) = α, α is eve, ad d + 1 is ot the first (α 1)-pump umber, (6) h d (C d ) = α, α is odd, ad d + is ot the secod α-pump umber, (7) h d (C d ) = α ad d + is the secod α-pump umber, (8) h d (C d ) = α + 1 ad α is odd, which are deoted by PT 1 d, PT d,..., PT 8 d, respectively. Note that the case where h d (C d ) = α + 1 with eve α is impossible sice h d (C d ) = α + 1 must be a pump umber which exists oly for odd α. We use the followig propositios to describe some properties of these eight classes of periodical tables i which we assume that K α is the d-critical clique. Propositio 16. For the cycles i the first colum of a PT d PT 1 d, oly h d (C d ) = h d (C d+3 ) = α 1. All of the other cycles, say C, i the first colum of PT d have h d (C ) α. Propositio 17. For the cycles i the first colum of a PT d PT d PT 3 d, oly h d (C d ) = α 1. All of the other cycles, say C, i the first colum of PT d have h d (C ) α. Propositio 18. For the cycles i the first colum of a PT d PT d, oly h d (C d+ ) = α 1. All of the other cycles, say C, i the first colum of PT d have h d (C ) α. Propositio 19. For the cycles i the first colum of a PT d PT 5 d PT 6 d PT 7 d, all cycles, say C, i the first colum of PT d have h d (C ) α. Furthermore, there are cycles whose legths are α-pump umbers i the first colum of a PT d PT 6 d PT 7 d. Propositio 0. For the cycles i the first colum of a PT d PT 8 d, oly h d (C d+1 ) = α. All of the other cycles, say C, i the first colum of PT d have h d (C ) α + 1. I a periodical table, we defie that the ith-level leap path for i 1, is a Mahatta path which starts from the edge separatig C lec(kα+i 1) ad C lec(kα+i 1)+1, the passes through the edges separatig C j lec(kα+i 1) ad C j lec(kα+i 1)+1, for j >, oe by oe, util it arrives the bottom edge of the table. Note that, oce o C j lec(kα+i 1) exists i the secod colum of PT d, the ith-level leap path oly cotais the bottom edge of the table which is the last leap path. For coveiece, we say that the top edge of a periodical table is the 0th-level leap path. Therefore, there are at least two leap paths, i.e., the top ad bottom edges, i a periodical table. Based o leap paths, we defie leap cycles as follows. A cycle C with d is called a 0

5 The 7th Workshop o Combiatorial Mathematics ad Computatio Theory (d, i)-leap cycle, for i 0, if C is located betwee the ith-level ad the (i + 1)th-level leap paths i PT d. Formally, a cycle C i PT d (i, j) is a (d, 0)-leap cycle if ad oly if j ad 1 i mi{d, j (lec(k α ) d) + 1}, ad is a (d, x)-leap cycle, for 1 x k, if ad oly if j ad j (lec(k α+x 1 ) d) + 1 < i mi{d, j (lec(k α+x ) d) + 1} where k is the umber of leap paths. A (d, x)-leap cycle C, for x 0, i PT d (i, j) is called a (d, x)-pump cycle if = j lec(k α+x ) y, for y = 1 or, ad lec(k α+x ) y is a (α+x)-pump umber. A (d, 0)- leap cycle C is called a type I ripple cycle if it is i a PT d PT 7 d ad d is the first α-pump umber. A (d, 0)-leap cycle C is called a type II ripple cycle if it is i a PT d PT 8 d ad C is ot a (d, 0)-pump cycle. Sice all cycles have to be composed of the cycles i the first colum of a PT d, the cycles C i the first colum of PT d with h d (C ) = α + x, for x 0, are called (d, x)-fudametal cycles. For simplicity, we also classify cycles C i the first colum of a PT d with h d (C ) = α 1 ito (d, 0)-fudametal cycles. Lemma 1 ca be used to determie whether there exist (d, x)-leap cycles or ot for a give d ad x 1. Lemma 1. Assume that K α is the d-critical clique ad x( 1) is a positive iteger. If lec(k α+x 1 ) < (6d 1)/, the there exist (d, x)- leap cycles. I the followig, Lemmas 9 cocer with the d-harmoious chromatic umber of (d, 0)-leap cycles ad Lemmas 30 ad 31 cocer with the d- harmoious chromatic umber of (d, x)-leap cycles for PT x d, x = 1,,..., 8. Lemma. For a PT d PT 1 d, a (d, 0)-leap cycle C, which is i PT d (i, j), has h d (C ) = α 1 if ad oly if it has i = 3x+1 for x = 0, 1,..., d 1/3. Lemma 3. For a PT d PT d PT 3 d, a (d, 0)- leap cycle C i PT d has h d (C ) = α 1 if ad oly if = dj for j. Lemma. For a PT d PT d, a (d, 0)-leap cycle C has h d (C ) = α 1 if ad oly if = (d+)j for j. Lemma 5. Assume that K α is the d-critical clique ad C is a (d, 0)-leap cycle of PT d 1 x 5 PTx d. If h d (C ) α 1, the h d (C ) = α. Lemma 6. For a (d, 0)-leap cycle C of PT d PT 6 d, if C is a (d, 0)-pump cycle, the h d (C ) = α + 1; otherwise, h d (C ) = α. Propositio 7. For a (d, 0)-leap cycle C of PT d PT 7 d, C is a type I ripple cycle if ad oly if C is i PT d (j, j) for j (d+5)/. Lemma 8. For a (d, 0)-leap cycle C of PT d i PT 7 d, if C is a (d, 0)-pump cycle or a type I ripple cycle for j, the h d (C ) = α + 1; otherwise, h d (C ) = α. Lemma 9. For a (d, 0)-leap cycle C of PT d i PT 8 d, if = (d+1)j, for j, the h d (C ) = α; otherwise, h d (C ) = α + 1. By usig a similar argumet as Lemma 6 for provig the d-harmoious chromatic umber of leap cycles, we ca obtai Lemmas 30 ad 31. Lemma 30. Assume that K α is the d-critical clique. If C is a (d, x)-leap cycle, for x 1, which is ot a (d, x)-pump cycle, the h d (C ) = α + x. Lemma 31. Assume that K α is the d-critical clique. If C is a (d, x)-pump cycle for x 1, the h d (C ) α + x + 1. For coveiece to summarize our results, a (d, x)-leap cycle for x 0, is called a (d, x)-perfect cycle if h d (C ) = α+x 1, is called a (d, x)-critical cycle if h d (C ) = α+x, ad is called a (d, x)-pump cycle if h d (C ) = α + x + 1. Note that perfect cycles ca oly exist i (d, 0)-leap cycles which are described i Lemmas, critical cycles are described i Lemmas 5 30, ad the existece of (d, x)-pump cycles is described i Lemma 1. We summarize our results as the followig theorem. Theorem 3. Assume that K α is a d-critical clique with d. For ay C, if C is a (d, x)- pump cycle or types I ad II ripple cycles, the h d (C ) = α + x + 1; otherwise, h d (C ) is equal to h(c ) if 3 d 1 α 1 if C is a (d, 0)-perfect cycle α + x if C is a (d, x)-critical cycle. 5 Coclusio Here we wat to poit out that h d (C ) might be much larger tha α + where K α is a d-critical clique. For example, K 65 is a 1000-critical clique, amely d = 1000 ad α = 65. Sice d 1 = 3999, h 1000 (C 3999 ) = h(c 3999 ) = 91 α +. Eve though fidig h 1 (G) for geeral graphs is NPcomplete, however, for a lot of classes of graphs, there exist polyomial time algorithms for fidig their h 1 (G). For example, h 1 (T ) = + 1 where T is a tree. Accordigly, it is iterestig to fid the value of h (G) for trees ad other classes of graphs. 1

6 The 7th Workshop o Combiatorial Mathematics ad Computatio Theory Refereces [1] B. Alspach, Cycles of each legth i regular touramets, Caadia Mathematical Bulleti, 10 (1967) [] K. Asdre, K. Ioaidou, ad S. D. Nikolopoulos, The harmoious colorig problem is NP-complete for iterval ad permutatio graphs, Discrete Applied Mathematics 155 (007) [3] J. A. Body, Cycles of each legth i regular touramets, Joural of Combiatorial Theory, Series B, 11 (1971) [] K. Edwards ad C. McDiarmid, New upper bouds o harmoious colorigs, Joural of Graph Theory, 18 (199) [5] K. Edwards ad C. McDiarmid, The complexity of harmoious colourig for trees, Discrete Applied Mathematics, 57 (1995) [6] K. Edwards, The harmoious chromatic umber ad the achromatic umber, I: R.A. Bailey, ed., Surveys i Combiatorics 1997 (Ivited papers for 16th British Combiatorial Coferece) (Cambridge Uiversity Press, Cambridge, 1997) [7] O. Frak, F. Harary, ad M. Platholt, The lie-distiguishig chromatic umber of a graph, Ars Combiatoria, 1 (198) 1 5. [8] F. Harary ad L. Moser, The theory of roud robi touramets, The America Mathematical Mothly, 73 (1966) [9] F. Harary, Graph Theory (Addiso-Wesley, Readig, MA, 1969). [10] J. E. Hopcroft ad M. S. Krishamoorthy, O the harmoious colorig of graphs, SIAM Joural o Algebraic Discrete Methods, (1983) [11] Zhikag Lu, The harmoious chromatic umber of a complete biary ad triary tree, Discrete Mathematics, 118 (1993) [1] Z. Miller ad D. Pritiki, The harmoious colorig umber of a graph, Discrete Mathematics, 93 (1991) [13] J. W. Moo, O subtouramets of a touramet, Caadia Mathematical Bulleti, 9 (1966)

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

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

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

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

More information

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

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

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

Problem Set 2 Solutions

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

More information

The 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

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

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

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

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

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

(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

Sequences of Definite Integrals, Factorials and Double Factorials

Sequences of Definite Integrals, Factorials and Double Factorials 47 6 Joural of Iteger Sequeces, Vol. 8 (5), Article 5.4.6 Sequeces of Defiite Itegrals, Factorials ad Double Factorials Thierry Daa-Picard Departmet of Applied Mathematics Jerusalem College of Techology

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

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

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

Fortgeschrittene Datenstrukturen Vorlesung 11

Fortgeschrittene Datenstrukturen Vorlesung 11 Fortgeschrittee Datestruture Vorlesug 11 Schriftführer: Marti Weider 19.01.2012 1 Succict Data Structures (ctd.) 1.1 Select-Queries A slightly differet approach, compared to ra, is used for select. B represets

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

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

Axioms of Measure Theory

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

More information

SOME 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

Counting Well-Formed Parenthesizations Easily

Counting Well-Formed Parenthesizations Easily Coutig Well-Formed Parethesizatios Easily Pekka Kilpeläie Uiversity of Easter Filad School of Computig, Kuopio August 20, 2014 Abstract It is well kow that there is a oe-to-oe correspodece betwee ordered

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

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

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

More information

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

# 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

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

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

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

Properties of Fuzzy Length on Fuzzy Set

Properties of Fuzzy Length on Fuzzy Set Ope Access Library Joural 206, Volume 3, e3068 ISSN Olie: 2333-972 ISSN Prit: 2333-9705 Properties of Fuzzy Legth o Fuzzy Set Jehad R Kider, Jaafar Imra Mousa Departmet of Mathematics ad Computer Applicatios,

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

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

3.2 Properties of Division 3.3 Zeros of Polynomials 3.4 Complex and Rational Zeros of Polynomials

3.2 Properties of Division 3.3 Zeros of Polynomials 3.4 Complex and Rational Zeros of Polynomials Math 60 www.timetodare.com 3. Properties of Divisio 3.3 Zeros of Polyomials 3.4 Complex ad Ratioal Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered

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

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

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

More information

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

Intermediate Math Circles November 4, 2009 Counting II

Intermediate Math Circles November 4, 2009 Counting II Uiversity of Waterloo Faculty of Mathematics Cetre for Educatio i Mathematics ad Computig Itermediate Math Circles November 4, 009 Coutig II Last time, after lookig at the product rule ad sum rule, we

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

Sequences. Notation. Convergence of a Sequence

Sequences. Notation. Convergence of a Sequence Sequeces A sequece is essetially just a list. Defiitio (Sequece of Real Numbers). A sequece of real umbers is a fuctio Z (, ) R for some real umber. Do t let the descriptio of the domai cofuse you; it

More information

Lemma Let f(x) K[x] be a separable polynomial of degree n. Then the Galois group is a subgroup of S n, the permutations of the roots.

Lemma Let f(x) K[x] be a separable polynomial of degree n. Then the Galois group is a subgroup of S n, the permutations of the roots. 15 Cubics, Quartics ad Polygos It is iterestig to chase through the argumets of 14 ad see how this affects solvig polyomial equatios i specific examples We make a global assumptio that the characteristic

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 Rand and block distances of pairs of set partitions

The Rand and block distances of pairs of set partitions The Rad ad block distaces of pairs of set partitios Frak Ruskey 1 ad Jeifer Woodcock 1 Dept. of Computer Sciece, Uiversity of Victoria, CANADA Abstract. The Rad distaces of two set partitios is the umber

More information

Lecture #20. n ( x p i )1/p = max

Lecture #20. n ( x p i )1/p = max COMPSCI 632: Approximatio Algorithms November 8, 2017 Lecturer: Debmalya Paigrahi Lecture #20 Scribe: Yua Deg 1 Overview Today, we cotiue to discuss about metric embeddigs techique. Specifically, we apply

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

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

Alliance Partition Number in Graphs

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

More information

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations Chapter The Solutio of Numerical Algebraic ad Trascedetal Equatios Itroductio I this chapter we shall discuss some umerical methods for solvig algebraic ad trascedetal equatios. The equatio f( is said

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

Metric Space Properties

Metric Space Properties Metric Space Properties Math 40 Fial Project Preseted by: Michael Brow, Alex Cordova, ad Alyssa Sachez We have already poited out ad will recogize throughout this book the importace of compact sets. All

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

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

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

A q-analogue of some binomial coefficient identities of Y. Sun

A q-analogue of some binomial coefficient identities of Y. Sun A -aalogue of some biomial coefficiet idetities of Y. Su arxiv:008.469v2 [math.co] 5 Apr 20 Victor J. W. Guo ad Da-Mei Yag 2 Departmet of Mathematics, East Chia Normal Uiversity Shaghai 200062, People

More information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

4.1 SIGMA NOTATION AND RIEMANN SUMS

4.1 SIGMA NOTATION AND RIEMANN SUMS .1 Sigma Notatio ad Riema Sums Cotemporary Calculus 1.1 SIGMA NOTATION AND RIEMANN SUMS Oe strategy for calculatig the area of a regio is to cut the regio ito simple shapes, calculate the area of each

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

De Bruijn Sequences for the Binary Strings with Maximum Specified Density

De Bruijn Sequences for the Binary Strings with Maximum Specified Density De Bruij Sequeces for the Biary Strigs with Maximum Specified Desity Joe Sawada 1, Brett Steves 2, ad Aaro Williams 2 1 jsawada@uoguelph.ca School of Computer Sciece, Uiversity of Guelph, CANADA 2 brett@math.carleto.ca

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

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 inverse eigenvalue problem for symmetric doubly stochastic matrices

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

More information

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

A New Solution Method for the Finite-Horizon Discrete-Time EOQ Problem

A New Solution Method for the Finite-Horizon Discrete-Time EOQ Problem This is the Pre-Published Versio. A New Solutio Method for the Fiite-Horizo Discrete-Time EOQ Problem Chug-Lu Li Departmet of Logistics The Hog Kog Polytechic Uiversity Hug Hom, Kowloo, Hog Kog Phoe: +852-2766-7410

More information

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION

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

More information

A statistical method to determine sample size to estimate characteristic value of soil parameters

A statistical method to determine sample size to estimate characteristic value of soil parameters A statistical method to determie sample size to estimate characteristic value of soil parameters Y. Hojo, B. Setiawa 2 ad M. Suzuki 3 Abstract Sample size is a importat factor to be cosidered i determiig

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

Supplementary Material for Fast Stochastic AUC Maximization with O(1/n)-Convergence Rate

Supplementary Material for Fast Stochastic AUC Maximization with O(1/n)-Convergence Rate Supplemetary Material for Fast Stochastic AUC Maximizatio with O/-Covergece Rate Migrui Liu Xiaoxua Zhag Zaiyi Che Xiaoyu Wag 3 iabao Yag echical Lemmas ized versio of Hoeffdig s iequality, ote that We

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

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

A Block Cipher Using Linear Congruences

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

More information

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

Decoupling Zeros of Positive Discrete-Time Linear Systems*

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

More information

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

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

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014. Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the

More information

Harmonic Number Identities Via Euler s Transform

Harmonic Number Identities Via Euler s Transform 1 2 3 47 6 23 11 Joural of Iteger Sequeces, Vol. 12 2009), Article 09.6.1 Harmoic Number Idetities Via Euler s Trasform Khristo N. Boyadzhiev Departmet of Mathematics Ohio Norther Uiversity Ada, Ohio 45810

More information

16 Riemann Sums and Integrals

16 Riemann Sums and Integrals 16 Riema Sums ad Itegrals Defiitio: A partitio P of a closed iterval [a, b], (b >a)isasetof 1 distict poits x i (a, b) togetherwitha = x 0 ad b = x, together with the covetio that i>j x i >x j. Defiitio:

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

On Some Properties of Digital Roots

On Some Properties of Digital Roots Advaces i Pure Mathematics, 04, 4, 95-30 Published Olie Jue 04 i SciRes. http://www.scirp.org/joural/apm http://dx.doi.org/0.436/apm.04.46039 O Some Properties of Digital Roots Ilha M. Izmirli Departmet

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

CHAPTER I: Vector Spaces

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

More information

CALCULATING FIBONACCI VECTORS

CALCULATING FIBONACCI VECTORS THE GENERALIZED BINET FORMULA FOR CALCULATING FIBONACCI VECTORS Stuart D Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithacaedu ad Dai Novak Departmet

More information

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

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

More information

Math 4707 Spring 2018 (Darij Grinberg): homework set 4 page 1

Math 4707 Spring 2018 (Darij Grinberg): homework set 4 page 1 Math 4707 Sprig 2018 Darij Griberg): homewor set 4 page 1 Math 4707 Sprig 2018 Darij Griberg): homewor set 4 due date: Wedesday 11 April 2018 at the begiig of class, or before that by email or moodle Please

More information

The Choquet Integral with Respect to Fuzzy-Valued Set Functions

The Choquet Integral with Respect to Fuzzy-Valued Set Functions The Choquet Itegral with Respect to Fuzzy-Valued Set Fuctios Weiwei Zhag Abstract The Choquet itegral with respect to real-valued oadditive set fuctios, such as siged efficiecy measures, has bee used i

More information

Chapter 1 : Combinatorial Analysis

Chapter 1 : Combinatorial Analysis STAT/MATH 394 A - PROBABILITY I UW Autum Quarter 205 Néhémy Lim Chapter : Combiatorial Aalysis A major brach of combiatorial aalysis called eumerative combiatorics cosists of studyig methods for coutig

More information

x c the remainder is Pc ().

x c the remainder is Pc (). Algebra, Polyomial ad Ratioal Fuctios Page 1 K.Paulk Notes Chapter 3, Sectio 3.1 to 3.4 Summary Sectio Theorem Notes 3.1 Zeros of a Fuctio Set the fuctio to zero ad solve for x. The fuctio is zero at these

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

UNIVERSITY OF NORTHERN COLORADO MATHEMATICS CONTEST. First Round For all Colorado Students Grades 7-12 November 3, 2007

UNIVERSITY OF NORTHERN COLORADO MATHEMATICS CONTEST. First Round For all Colorado Students Grades 7-12 November 3, 2007 UNIVERSITY OF NORTHERN COLORADO MATHEMATICS CONTEST First Roud For all Colorado Studets Grades 7- November, 7 The positive itegers are,,, 4, 5, 6, 7, 8, 9,,,,. The Pythagorea Theorem says that a + b =

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

Sequences, Series, and All That

Sequences, Series, and All That Chapter Te Sequeces, Series, ad All That. Itroductio Suppose we wat to compute a approximatio of the umber e by usig the Taylor polyomial p for f ( x) = e x at a =. This polyomial is easily see to be 3

More information

Dedicated to the memory of Lev Meshalkin.

Dedicated to the memory of Lev Meshalkin. A Meshalki Theorem for Projective Geometries Matthias Beck ad Thomas Zaslavsky 2 Departmet of Mathematical Scieces State Uiversity of New York at Bighamto Bighamto, NY, U.S.A. 3902-6000 matthias@math.bighamto.edu

More information

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer. 6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio

More information

Stochastic Matrices in a Finite Field

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

More information

CALCULATION OF FIBONACCI VECTORS

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

More information

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

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

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

More information