CHAPTER - 3 SOME DOMINATION PARAMETERS OF THE DIVISOR CAYLEY GRAPH

Size: px
Start display at page:

Download "CHAPTER - 3 SOME DOMINATION PARAMETERS OF THE DIVISOR CAYLEY GRAPH"

Transcription

1 CHAPTER - 3 SOME DOMINATION PARAMETERS OF THE DIVISOR CAYLEY GRAPH

2 Madhavi [231 has introduced the concept of divisor Cayley graph and studied some of its properties. She also gave methods of enumeration of disjoint Hamilton cycles. In this Chapter we determined certain domination sets. namely, vertex cover, edge cover, independent set. makh'ig and related domination parameters of the divisor Cayley graph. In section 3.1 we introduce the concept of divisor Cayley graph and briefly sketch certain basic properties needed for our discussion, which were studied in detail in [23]. 3.1 DIVISOR CAYLEY GRAPH AN11 ITS PROPERTIES : Let n 2 I be an integer and let S be the set of divisors of n. Then the set S* = f s, n - s I s E S } is a symmetric subset of the group ( Z,,, 8 ), the additive abelian group of integers modulo n. The Cayley graph of ( ) associated with the above symmetric subset S* is called the divisor of Cayiey graph and it is denoted by G( Z,, D). That is, the graph Ci(Z,, D) is the graph whose vertex set is V -. { 0,1,2, , n-1 } and the edge scl E is the set of all ordered pairs of vertices x, y such that either x - y E s*, or, y - x E s*. For n = 2,3,4,6,10,11 the divisor Cayley graphs are given at the end ofthe Chapter in fig: 3,1, 3.2,3.3, 3.4,3.5 and 3.6,

3 It is immediate from the Theorem in Chapter I that the graph nls'i 2 G( Z, D) is ls'l- regular, and the number of edges in G( Z, D) is -. The divisor Cayley graph G(Z,,D) has following properties. (i) The graph G( Z,, D) is Hamiltonian and hence connected. (Sce, Lemma of [23]). (ii) (a) Degree of each vertex in G( Z, D) is odd and if, and only if, n is even. (b) Degree of each vertex in G( Z, D) is even and if, and only if, n is odd. ( See, Lemma of [23] ). (iii) The graph G( Z, D) is not bipartite. (See, Lemma of P31). (iv) If n is a prime, then the graph G( Z,, D) is the outer Hamilton cycle. ( See, Lemma of [23] ). (v) The divisor Cayley graph G( Z, D) can be decomposed into edge disjoint Hamilton cycles if, and only if, n is odd. (See, Theorem of [23] ). Remark: For n=2,3,4,6, the symmetric set s*= {I, 2, , n - I). Since each of these graphs is IS*/ - regular. This shows that each vertex of G( Z, D) is adjacent to all other vertices of G( Z,,D). So G( Z, D) is a complete graph for n = 2, 3, 4,6. This can see in figures at the end of the Chapter.

4 3.2 WJU'EX DOMINATION IN DIVISOR CAYLEY GRAPH In this section the vertex cover and vertex covering number of the divisor Cayley graph G( Z,, D) are determined. Definition : Let G be a graph. A vertex \ md an edge e of Ci nre said to cover each other if they are incident. A set S of vertices which co\ers all the edges of a graph G is called vertex cover of 6, in the sense thsr every edge of G is incident with some vertex in S A minimum vertex cover is the one with minimull cardinality. Definition : : The cardinality of a minimum vertex cover of a graph G is called the covering number and is denoted by P(G). Remark : : The vertex covering number is n - 1, for n - 2, 3, 4, 6, since G( Z,, D) is a complete graph for n = 2,3,4,6 (See page 94 ot'l l HI 1. Theorem : 3.2.4: Let n > 5 be a prime. Then the minimum vertex covcr of G( Z,.D) is {1,3,5,... n}. - Proof : Let us consider the divisor Cayley graph of G( Z,,D).

5 Suppose that n 2 5 is a prime. Then 1 is the only divisor of n other than n so that S' = { 1, n - I }. Let V, = 11, 3, 5,..., n }. Let e be an edge of G( Z, e = (r, s), where 1 I; r, s 5 n and either r - s, or, s - r is in s*. D). Then We claim that one of r and s is in VI. For, if r e VI and s e VI, then r = 2a and s = 2P, for some positive integers a and p so that r - s = 2 (a- p) < n - 1 +! s*. Similarly s - r = 2 (P-a) < n -1 e s*. (since n - 1 is the largest even number < n). This is a contradiction. So atleast one of r and s must belong to VI, which implies that V, is a vertex cover of G( Z,, D). Let us now show that Vl is the minimal vertex cover of G( Z,, D). For this, consider the set V, - {i}, for any i ~v,. Then i = 2t-1 for some positive integer t. Now the edge (2t-1, 2t), ( this is an edge, since 2t - (2t-1) = 1 E S' ), is not covered by the set V, - {i), since 2t is even so that 2t e Vl - (ij and also 2t - 1 = i +! VI - {ij. So VI is the minimum vertex cover of G( Z,, D). The following Corollary is immediate from the Theorem. Corollarv : 3.2.5: If n 2 5 is a prime, then the vertex covering number of G( Z,, D) is ntl given by P( G( Z, D)) = 7;-.

6 Theorem : 3.2.6: Let n be not a prime and n 2 8. Let do be the smallest positive integer that does not divide n. (i) The set VO = V - Uo, where IJ~={kd~ll<kSr sucht~~atr&f~*andfort<r.tde s*] is a vertex cover of G( Z,,. D). (ii) For any positive integer d -. 6 that does not divide n, let Ud={~Iu=dtkdo,ifusnnndu=d+kd~-n. if u>n. 0 5 k 5 r - 1 } then the set Vd = V - Ud is also a vertex: cover of G( Z". D). (iii) I If, I = /Vdj - Proof : (i) Let us consider the divisor Cayley graph G( Z,,,D). Suppose [hat n is not a prime and n 2 8. Let do he the s~~lallest positive integer that does not divide n. Let Vo = V - UD, where Uo={kdo/ ~~k<rsuchthatrd~~~*andfort~r,td,e~*}. Let e be an edge of G( Z, D). Then e = (i, i), where I r; i, j 5 n and either i - j, or, j -i is in s'. We claim that one of i and j is in Vo. For, if iccvo and j e Vo, then i = & and j = tdo, 1 5 s, t 5 r. Suppose i > j, then i - j = & - tdo = (3-t)& < rdo. So (S - t) do e s*. Hence i-j (E. s'. Similarly, if i < j, then j - i e S*. This shows e = ( i, j ) is not an edge of G( Z, D),

7 which is a contradiction. So, atleast one of i and j must belong to Vo which implies that Vo is a vertex cover of G( Z, D). (ii) Let d be the positive integer that does not divide n. LetVduV-Ud. where Ud= (u/u=dtkdoifu5nandu=d+kdo-n ifu>n,o<ksr-1). Let e be an edge of G( Z,,D). Then e = (i, j) where 1 5 i, j 5 n and either i - j, or, j - i is in s*. We claim that one of i and j is in Vd. Suppose ist Vd and j e Vd Here three cases will arise. Case i : Let i, j 5 n. Then i=d + s&, j -= d + tdo, for some s and t, Oss, t~r-1,nowi-j=(d+sdo)-(d+t&)=sdo-t&=(s-t)& e s*, since s - t r. Similarly i < j, j - i = ( d + tdo) - (d + sdo) = tdo - sdo = (t - s)do e s*, since t - s < r. This shows e = (i, j) is not an edge of G( Z, D), which is a contradiction. So, atleast one of i and j must belong to Vd, which implies that Vd is a vertex cover of G( Z,,,D). - Case ii : Let i, j>nandi>j.theni=(d+sdo)-n,j=(dttdo)-n,for somesandt,ost<si r- 1.Nowi-j=[(d+s&)-n]-[(d+tdo)-n] =s&-tdo=(s-t)do E s'sinces-t<r. Thisshowse=(i,j)isnotan edge of G( Z,, D), which is a contradiction. So, atleast one of i and j must belong to Vd, which implies that Vd is a vertex cover of G( Z,, D).

8 Case iii : Let isnandjsn. Then i=d+sx&,andj=d+t&-n,tas.now i - j =(d + sdo) - ( d + tq - n ) = n - (t - s )Q. We claim b t n-(t -s )do+? s'. For, if n - ( t - s ) d, e s'. nlerl n - [ n - ( t - s ) do] E s*, or, ( t - s ) do E s', a contradiction since t - s < r. So, i - j +? s*. This shows e = (i, j) is not an edge of G( &, I)), which is a contradiction. So, atleast one of i and j must belong to Vd which implies that Vd is a vettex cover of G( Z", D). (iii) Since / li,,, I = ludl, we have / Ifd<, 1 = IVdl. The following corollary is immediate from the Theorem. Corollary : 3.2.7: Let n be [lot a prime and n ;r: 8.Let do he the smallesc positive integer that does not divide n.then the vertex covering number of Ci( Z,, D) is given by P( G( Z, D)) = n - 1, where I = /U, ( and - Proof : 11, = ( kdo k 5 r such that rdo E S* and for t.: r, tdo e S' }. From part (ii) of Theorem 3.2.6, we conclude that for every integer d z 0, which is not a divisor of n, we gel a vertex cover Vd, namely, Vd = V Ud where Ud= { ~/u=d+kd,ifu~nandu=dtk~-nifu>n,o4k5r-1 } and &, is the smallest positive integer that does not divide n.

9 Also from part (iii) of the Theorem we get I V, / = IVdl. So I V, I is the vertex covering number of G( &, D), which is n - I, where I = IU INDEPENDENT SET OF DIVISOR CAYLEY GRAPH Definition :3,3.1 A subset S of V is called an independent set of a graph G if no two vertices of S are adjacent in G. Definition : The number of vertices in the largest independent set of a graph G is called the independence number and it is denoted by a (G). A single vertex of any graph G constitutes an independent set Theorem: Let n = 5, or, n r 7 and let do be the smallest positive integer that does not divide n. For any integer t 2 1, the set of vertices Vt in G(Z,, D), which is of the form V, = { t + rd, 10 I r I k - 1, where k is the least positive integer such that rd,& S* and t + rdo < n 1, is an independent set of ~(z,,d). &Q& Let n = 5, or, n 2 7 and let do be the smallest positive integer that does not divide n. For any integer t 2 1, consider the set V, = { t + rdo / 0 2 r 5 k - 1, where k is the least positive integer such that rdocc S* and t+rdo<n}.

10 Let t + Ido. t + mdo be any two distinct vertices in V,. Then 1 t m. For definiteness let us take m < I. Then I, m I k - 1, so that I - m < k - 1. Sobythedefinitionof~,,(i-m)& e s*. Now(t+/&)-(t+m&)= ( I - m ) do +z s'. So, t + I do and t t indo, If m are not adjacent and thus V, is an independent set. Next, let s be the smallest integer such that t < s and s es V,. Consider the set V, = { s + rdo 1 0 r. r s k - 1, where k is the least positive integer such that r4 +z S* and s + rdo < n ). As in the case of V,, one can show that V, is also an independen1 set. Proceeding in this way we obtain a finite number of independent sets. say, V,, V2,..., V,. Now we claim that for t.c: s (i) V, n V, = 4 (ii) I V, I 2 IVd. (i) Let t i s. If possible let V, n V, r 41. Then there is u vertex x E VI n V,, so that x E V, and x E V,. Then x = I t pdo, x = s I- qdo for some positive integers p and q. Since t ~t s, we have p r q. Let p > q. 'Then t t pdo = s.t q4 implies that t + ( p q ) do = s, where p - q is an integer. So s = t + ( p q ) do E VI and p -- q ' P. This shows that s E V,, which is a contradiction to the fact that s e VI.

11 Let p < q. Now s = s + Odo E V, shows that s is the smallest number inv, and s>t. Againt+p&=s+qdoimpliesthatt=s+(q-p)do E V,, where q - p.: q is an integer. This shows that t E V,. This is a contradiction to the fact that s is the smallest number in V, and s > t. So, t r V,. These show that, there is no common elements between V, and V, so that V, n V, = 4 + (ii) Let I V, I = kl and ( V, I = k2. Then V,=(t,t+do,tt2do,..., t+(kl-l)do),whereklistheleast positive integer such that t + ( kl - I )do < n. Similarly V, = { s s + &, s + 2do,..., s t (k2-1 )do ), where k2 is the least positive integer such that s + ( k2 - I )do < n. Since t < s and t + rdo < s + rdo. This together with t + ( kl - 1 ) do < n and s + (k2-l)do n implies that k, > k2. Remark : : The following is the procedure for finding the independent sets and the independence number of G(Z,D). Consider the graph G(Z,D). Let do be the smallest positive integer that does not divide n. We start with vertex 1 and find the corresponding independent set, VI = ( I + r$ 1 0 O r r k - 1, where k is the least positive integer such that r& e S* and 1 + rdo < n 1.

12 Next let t be least positive integer such that t 6 VI. Consider the corresponding independent set, V, = { t + rdo I 0 < r I; k - 1. wlrcrc k is the least positive integer such that rdo~~*andt+rd,,<n). Proceeding in this way, we pet a finite number of independent sets, say. VI, V2,..., Vs, which are such that (i) (ii) V, nv,=+ iftics IVl(>IV~12... ZIV,/. So, Vl is one of the largest independent set of G(Z,, D) so that IVII is the independence number of G(Z,,, D) This discussion leads to the following corollaries, which give the independence nuinher and the chromatic number of G(Z,D). Corollarv : 3.3.5: Let n = 5, or, n 2 7 and 4 be the smallest positive integer that does not divide n. Then the independence numkr a (G(Z,,D) ) is given by a (G(Zn,D)) = k, where k is the least positive integer such that 1 1 kdu c: n and either kd,, divides n, or, ( n - k 6) divides n. - Proof : Let n = 5. or. n L 7 and do he the smallest positive integer that does not divide n.

13 VI = { 1 + rdo 10 I r S k - 1, where k is the least positive integer such thatrdo e S' and 1 +r&<n). From this, we see that k is the least positive integer such that k& E S*. That is, k is the least positive integer such that either k 4 divides n, or, ( n - k4) divides n and this k is the independence number of G(Z,D). Remark :3.3.6 For n = 2, 3, 4, 6, the independence number of G(Z,D) is 1 since G(Z,,D) is a complete graph. Definition : 3.3.7: 1. A k - vertex colouring of a graph G is an assignment of k - colours, 1, 2,.., k, to the vertices of G, So, a k - vertex colouring of G partitions V into the partition ( VI, Vz,..., Vk ), where V, is the subset of vertices of V which are coloured by i. 2. The colouring of G is proper if no two adjacent vertices have the same colour. 3. Thus a proper k - vertex colouring -of a loopless graph G is a partition (V,, V2,..., Vk ) of the vertex set V of G into k independent sets. 4. G is called k-colourable jf G has a proper k-vertex colouring. 5. The chromatic number, x(g), of G is the minimum k for which G is k-colourable. If x(g) = k, G is said to be k-chromatic.

14 Corollarv : 3.3.8: For n = 5, or, n 2 7 the Chromatic number of divisor Cayley graph of G(Z,,,D) is s, where s is the number of disjoint independent subsets of 0). && Proof is immediate from the Remark Remark : 3.3.9: For n = 2, 3, 4, 6, the chronlatic number of G(Z,,,D) is n. since G(Z,D) is a complete graph. 3.4 : EDGE DOMINATION IN DIVISOR CAYLEY GRAPH This section is devoted for the determination of edge cover, edge domination and the related domination parameters of the divisor Chiyley graph. Definition : An edge cover of a graph G is a set of edges covering all the vertices of G. A minimum edge cover is one with minimum cardinality. The number of edges in a minimum edge cover of G is called the edge covering number of G and it is denoted by P1(G). Theorem : 3.4.2: If n > 1, the minimum edge covering of the divisor Cayley graph G(Z,, D) is given by

15 (i) ((0,1),(2,3),...,(n-4,n-3),(n-2,n-l)),ifniseven. (ii) {(0,1),(2,3),,..., (n-3,n-2),(n-1,o)},ifnis odd. - Proof : (i) Suppose n is an even number. Consider the set of ordered pairs of vertices given by FI = {(0,1),(2,3),..., (n-4,n-3),(n-2,n-l)}. For each ordered pair ( 2i, 2itl), 0 5 i 5 "-2, (2i+l) - 2i = 1 E S' so that 2 (2i, 2i+l) is an edge of G(Zn, D). So F1 is a set of edges in G. Further the edges in FI cover all the vertices of G(Zn, D), So F1 forms an edge covering of G(Zn, D). Furthermore, the end vertices of the edges in FI are distinct. To show that F1 is the minimum edge covering of G(Z,, D). Let us consider the edge set FI - {el), where e, E F,, then e, = ( 2i, 2itl). Clearly, the vertices 2i, 2itl are not covered by the remaining edges of the edges set FI - {e,}, so that F, - {e,} cannot form an edge covering of G(Zn, D). Hence, F, is the minimum edge covering of G(Z,, D). Since n is even, the number of distinct pairs of distinct vertices of the form (2i, 2i+l), n i 5 -, so that the cardinality of the set FI is n. 2 2 (ii) Suppose n is an odd number. Consider the set ordered pairs of vertices given by

16 s"- For each ordered pair ( 2i, 2i+l), 0, 5 l i (2i+l) - 2i = 1 G S, so that 2 (2i, 2i+l) is an edge of G(Z, D). Further the edges in F1 cover all the vertices of G(Z,. D). So F2 forms an edge covering of G(Z,,, D)., To show that Fz is the minimum edge covering of G(Z,,,D). let. us consider the edge set Fz - { e, ). Thcn e, = ( 2i, 2itl). Clearly, the vertices 2i. 2i+l are not covered by the edge set Fz - ( e, ), so that F2 is the minin~um edge covering of G(5, D). Since the n + 1 vertices 0, I. 2,..., n - 1, 0 can be paired into ntl n-l 2 2 ' - distinct pairs of vertices ( 2i, 2i+l), 0 5 i 5 - the cardinality of The following Corollary is immediate from the 'Theorem. Corollarv : 3.4.3: Jf n :. 1. the edge covering numher of divisor Caylcy graph p'( G(Z,, D) is given by n (i), if n is even. n*l ( ) - if n is odd..2

17 Definition : 3,4.4: ' A subset F of the edge set E in a graph G is an edge dominating set if each edge E not in F ( that is in E - F ) is adjacent to atleast one edge in F. The minimum cardinality among all edge dominating sets of G is called an edge domination number of G and is denoted by yl(~). Theorem : 3.4.5: The edge dominating set of the divisor Cayley graph G(Z,,D), n > 2 is the set of edges. (i) {(0,1),(2,3),...,(n-2,n-l)},ifniseven. (ii) { (1,2), (3, 4),....., ( n - 2, n - 1) J, if n is odd. Proof : (i) Lct n be even. Consider the set of ordered pairs of' vertices given by E,={(O,1),(2,3),...,(n-2,n-I)}. n-2 Foreachorderedpair(2i,2itl), O < i -, (2i-t-1)-2i= 1 E sb,so 2 that, ( 2i, 2i+l) is an edge of G(Z,, D). So El is a set of edges in G(Z,, D). Clearly no two edges in El are adjacent. Let ( r, s) E E - El. Then r 1 0 and s # r t 1 Here two cases will arise, namely either r is even, or, r is odd.

18 Cpsei: Suppose r is even. Then r = 2t, for some integer and ( r, s) = (2t, s) Then the edge (24 2t*1) is in El clearly it is adjacent with the edge (21, s). - Case ii: Suppose r is odd. Then I 2tt1, for some integer t? 0 and (r, s) = (2t +I. s). Then the edge ( ,2t) which is same as (2t, 214 1) is in El and this is adjacent with ( 2tt1, s). So, El is an edge dominating set of G(Zn, D). Let us now show that El IS the minimum edge dominating set of G(Zn, D). To see this, let us delete the edge (i, it]) from El and form the edge set E ~' = El - ( i, 1t1 ). Now ( i, itl) is not adjacent to any edge of the edge set El1, since any edge ( r, s) E El1 is such that r # i, i I and s # i, it]. So El1 is not an edge dominating set of G(Z,,D). Ilence, El is tile minimum edge dominating set of G(Zn,D). (ii) Let n be odd. Consider the set of ordered pairs of vertices given by E2= {(1,2),(3,4),..., (n-2,n-1 )] n - l For each ordered pair ( 2i, Zitl), 0 5 ii -, 2 ( 2itl) - 2i = 1 E S', so that ( 2i, 2it 1) is an edge of G(Z,, D), SO E2 is a set of edges in Ci(Z,,, D).

19 Let ( r, s) E E -'E2. As in (i), we may assume r? 1 and s # r + 1 Here two cases will arise. Case i : Suppose r is odd. Then r 2tt1, for some integer t > 0 and ( r, S) = (2t +1, s ). Then the edge ( Zttl, 2t+2) is in E2 and this is adjacent with the edge ( 2tt1, s). Case ii : 7 Suppose r is even. Let r = 2t, for some integer t > 0. Then the edge (2t, s). Consider the edge (2t, 2t-1) which is same as ( 2t - 1, 2t) in E2. This is adjacent with the edge (2t, s). If r = 0, then the edge ( 0, s) is adjacent with ( s - 1, s) in El, if s is even and it is adjacent with ( s, stl) in E2, if s is odd. Thus E2 is an edge dominating set. As in (i), we can see that E2 is the minimum edge dominating set. The following Corollary is immediate from the above Theorem. CoroUarv : 3.4,6: Proof : If n > 2, the edge domination number y'( G(Z,,D) ) is given by n i) - if n is even. 2 ' (ii)!a, if n is odd. 2 If n is even, the minimum edge dominating set of G(Z,,,D) is

20 and this contains "edges. 2 If n is odd, the minimum edge dominating set of G(Z,,,D) is E2=((1,2),(3,4),..., (n-2,n-i)} and this contains 2 edges. 3.5 : THE MATCHING NUMBER OF DIVlSOR CAYLEY GRAPH : Definition : 3.5.1: A matchingf of a graph G is a subset of E such that no two cdyes of F are adjacent. A matching F is called a perfect matchin~if it covers all the \tcnices of the graph G. Definition : 3.5.2: A maximal matching is a matching with maximum number of edges and the cardinality of a maximum lvatching is known as lhc matching number. Theorem 3.5.3: The matching number of the divisor Cayley graph G(Z,,D) is n (i) --,, ifnisevon. (ii) [", if n is odd. 2

21 - Proof : (i) Let n be even. Consider the set of ordered pairs of vertices given by FI=((0,1),(2,3),..., (n-2,n-1)). For each ordered pair ( 2i, Zit I), 0 5 is "-2, ( 2i+ I) - 2i = 1 2 S*, so that ( 2i, 2itl) is an edge of G(Z,, D). So FI is a set of edges in G(Z,, D). It is easy to see that no two edges in FI are adjacent. So, F, is the matching of the graph G(Z,,D). Let us now show that FI is a maximal matching of G(Z,, D). To see this let us consider the edge set { (0,1), (2,3),...,(n-2, n -1 ) } u { r, s), Suppose r is even. Then r = 2t, for some integer t 3 0 and ( r, s) = (2t, s). Then the edge (2t, 2ti-1) is in FI and is adjacent with (2t, s). Suppose r is odd, then r = 2tt1, for some integer t 1: 0 and (r,s) = (2t+l, s). Then the edge (2tt1, 2t), which is same as (2t, 2t+l), is in FI and is adjacent with (Zttl, s). So, the edge set { (0,1), (2,3),...,(n-2, n-i)} u {r,s} where r 2 0 and s f r +I is not matching of the graph G(Z,,D). Hence, the edge set ( (0,1), (2,3),..., (n-2, n-1)) is a maximal matching of the graph G(Z,,D). In this case the cardinality of a maximal matching of the graph

22 (ii) Let n be odd. Consider thc set of ordered pairs of vertices given by Fz= ((0,1),(2,3),..., (n-3,n-2 )}. For each ordered pair ( 2i, 2i+l), 0 5 is * ( 2i+l) - 2i = 1 G s*, 2 ' so that ( 2it?i+l) is an edge of G(&, I)). So F2 is a set of edges in G(Z,,, D). By inspection, it is easy to see drat no two edges in F2 are adjacent. So, F1 is a matching of the graph G(Z,,.I>). To show that F2 is a maximal matching of the graph G(Z,,D), let us consider the edge set (2,3),.,(n-3, n-2 ) ) u { r. s) where r? 0 ands#r+ 1. Suppose r is even Then r = 2t, for some integer t 2 0 and ( r, s) = (2t, s). Then the edge (2t.2tt I) is in F2 and is ad~acerit with (3, s). Suppose r is odd, then r = 2t+1, for some integer t 2 0 and (r, s) = (2t+ 1, s). Then the edge (3tt I, 2t), which is same as (2t, 2t+ 1) is in FI and is adjacent with (2t+I, s). If r = n - I. then the edge ( n - 1, s ) is adjacent with ( s - I, s) in F1, if s is even and it is adjacent with ( s, s+l) in FL. ii's is odd. So, the cdgu set { (0,1), (2,3),...., (n - 3, n - 2 )} v {r, s}, where r :. 0 and s 1- r +.I is no1 matching of the graph G(Z,,D). Hence, the edge set ( (0,1), (2.3),......,..., (n - 3, n - 2 )} is a maximal matching of the graph G(Z,,D). n The cardinality of a maximal matching of the graph G(Z,,D) is 7'

23 Fig: 3. I : The divisor Cayley Graph - G (2,,D) Fig: 3.2 : The divisor Caylav Graph - G (2;.D) Fig: 3.3 :?'tie divisor Caylay Graph - G (Z,,I)) Fig: 3.4 : Tllc divisor Caylay Grapl~ - G (2,,I))

24 Fig: 3.5 : The divisor Cayla>> Graph - G (L,,),I>) Fig: 3 6 I'hc divisor C'aylay Graph - CJ (7,,,Dl

1 Matchings in Graphs

1 Matchings in Graphs Matchings in Graphs J J 2 J 3 J 4 J 5 J J J 6 8 7 C C 2 C 3 C 4 C 5 C C 7 C 8 6 J J 2 J 3 J 4 J 5 J J J 6 8 7 C C 2 C 3 C 4 C 5 C C 7 C 8 6 Definition Two edges are called independent if they are not adjacent

More information

Adjacent: Two distinct vertices u, v are adjacent if there is an edge with ends u, v. In this case we let uv denote such an edge.

Adjacent: Two distinct vertices u, v are adjacent if there is an edge with ends u, v. In this case we let uv denote such an edge. 1 Graph Basics What is a graph? Graph: a graph G consists of a set of vertices, denoted V (G), a set of edges, denoted E(G), and a relation called incidence so that each edge is incident with either one

More information

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

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

More information

Discrete Applied Mathematics. A revision and extension of results on 4-regular, 4-connected, claw-free graphs

Discrete Applied Mathematics. A revision and extension of results on 4-regular, 4-connected, claw-free graphs Discrete Applied Mathematics 159 (2011) 1225 1230 Contents lists available at ScienceDirect Discrete Applied Mathematics journal homepage: www.elsevier.com/locate/dam A revision and extension of results

More information

Fundamental Properties of Graphs

Fundamental Properties of Graphs Chapter three In many real-life situations we need to know how robust a graph that represents a certain network is, how edges or vertices can be removed without completely destroying the overall connectivity,

More information

Strong Dominating Sets of Some Arithmetic Graphs

Strong Dominating Sets of Some Arithmetic Graphs International Journal of Computer Applications (09 888) Volume 8 No, December 01 Strong Dominating Sets of Some Arithmetic Graphs MManjuri Dept of Applied Mathematics, SPWomen s University, Tirupati-10,

More information

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

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

More information

Discrete mathematics , Fall Instructor: prof. János Pach

Discrete mathematics , Fall Instructor: prof. János Pach Discrete mathematics 2016-2017, Fall Instructor: prof. János Pach - covered material - Lecture 1. Counting problems To read: [Lov]: 1.2. Sets, 1.3. Number of subsets, 1.5. Sequences, 1.6. Permutations,

More information

Matching Algorithms. Proof. If a bipartite graph has a perfect matching, then it is easy to see that the right hand side is a necessary condition.

Matching Algorithms. Proof. If a bipartite graph has a perfect matching, then it is easy to see that the right hand side is a necessary condition. 18.433 Combinatorial Optimization Matching Algorithms September 9,14,16 Lecturer: Santosh Vempala Given a graph G = (V, E), a matching M is a set of edges with the property that no two of the edges have

More information

ON A WEAKER VERSION OF SUM LABELING OF GRAPHS

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

More information

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

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

More information

Domination, Independence and Other Numbers Associated With the Intersection Graph of a Set of Half-planes

Domination, Independence and Other Numbers Associated With the Intersection Graph of a Set of Half-planes Domination, Independence and Other Numbers Associated With the Intersection Graph of a Set of Half-planes Leonor Aquino-Ruivivar Mathematics Department, De La Salle University Leonorruivivar@dlsueduph

More information

Number Theory and Graph Theory

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

More information

Line Graphs and Circulants

Line Graphs and Circulants Line Graphs and Circulants Jason Brown and Richard Hoshino Department of Mathematics and Statistics Dalhousie University Halifax, Nova Scotia, Canada B3H 3J5 Abstract The line graph of G, denoted L(G),

More information

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

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

More information

On vertex types of graphs

On vertex types of graphs On vertex types of graphs arxiv:1705.09540v1 [math.co] 26 May 2017 Pu Qiao, Xingzhi Zhan Department of Mathematics, East China Normal University, Shanghai 200241, China Abstract The vertices of a graph

More information

Matchings in Graphs. Definition 1 Let G = (V, E) be a graph. M E is called as a matching of G if v V we have {e M : v is incident on e E} 1.

Matchings in Graphs. Definition 1 Let G = (V, E) be a graph. M E is called as a matching of G if v V we have {e M : v is incident on e E} 1. Lecturer: Scribe: Meena Mahajan Rajesh Chitnis Matchings in Graphs Meeting: 1 6th Jan 010 Most of the material in this lecture is taken from the book Fast Parallel Algorithms for Graph Matching Problems

More information

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

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

More information

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

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

More information

On the Relationships between Zero Forcing Numbers and Certain Graph Coverings

On the Relationships between Zero Forcing Numbers and Certain Graph Coverings On the Relationships between Zero Forcing Numbers and Certain Graph Coverings Fatemeh Alinaghipour Taklimi, Shaun Fallat 1,, Karen Meagher 2 Department of Mathematics and Statistics, University of Regina,

More information

Star Decompositions of the Complete Split Graph

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

More information

Two Characterizations of Hypercubes

Two Characterizations of Hypercubes Two Characterizations of Hypercubes Juhani Nieminen, Matti Peltola and Pasi Ruotsalainen Department of Mathematics, University of Oulu University of Oulu, Faculty of Technology, Mathematics Division, P.O.

More information

9.5 Equivalence Relations

9.5 Equivalence Relations 9.5 Equivalence Relations You know from your early study of fractions that each fraction has many equivalent forms. For example, 2, 2 4, 3 6, 2, 3 6, 5 30,... are all different ways to represent the same

More information

Math 776 Graph Theory Lecture Note 1 Basic concepts

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

More information

Research Question Presentation on the Edge Clique Covers of a Complete Multipartite Graph. Nechama Florans. Mentor: Dr. Boram Park

Research Question Presentation on the Edge Clique Covers of a Complete Multipartite Graph. Nechama Florans. Mentor: Dr. Boram Park Research Question Presentation on the Edge Clique Covers of a Complete Multipartite Graph Nechama Florans Mentor: Dr. Boram Park G: V 5 Vertex Clique Covers and Edge Clique Covers: Suppose we have a graph

More information

On vertex-coloring edge-weighting of graphs

On vertex-coloring edge-weighting of graphs Front. Math. China DOI 10.1007/s11464-009-0014-8 On vertex-coloring edge-weighting of graphs Hongliang LU 1, Xu YANG 1, Qinglin YU 1,2 1 Center for Combinatorics, Key Laboratory of Pure Mathematics and

More information

Lecture 5: Graphs. Rajat Mittal. IIT Kanpur

Lecture 5: Graphs. Rajat Mittal. IIT Kanpur Lecture : Graphs Rajat Mittal IIT Kanpur Combinatorial graphs provide a natural way to model connections between different objects. They are very useful in depicting communication networks, social networks

More information

arxiv: v3 [cs.dm] 12 Jun 2014

arxiv: v3 [cs.dm] 12 Jun 2014 On Maximum Differential Coloring of Planar Graphs M. A. Bekos 1, M. Kaufmann 1, S. Kobourov, S. Veeramoni 1 Wilhelm-Schickard-Institut für Informatik - Universität Tübingen, Germany Department of Computer

More information

Basics of Graph Theory

Basics of Graph Theory Basics of Graph Theory 1 Basic notions A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges. Simple graphs have their

More information

CLAW-FREE 3-CONNECTED P 11 -FREE GRAPHS ARE HAMILTONIAN

CLAW-FREE 3-CONNECTED P 11 -FREE GRAPHS ARE HAMILTONIAN CLAW-FREE 3-CONNECTED P 11 -FREE GRAPHS ARE HAMILTONIAN TOMASZ LUCZAK AND FLORIAN PFENDER Abstract. We show that every 3-connected claw-free graph which contains no induced copy of P 11 is hamiltonian.

More information

Assignment 4 Solutions of graph problems

Assignment 4 Solutions of graph problems Assignment 4 Solutions of graph problems 1. Let us assume that G is not a cycle. Consider the maximal path in the graph. Let the end points of the path be denoted as v 1, v k respectively. If either of

More information

GRAPH THEORY and APPLICATIONS. Factorization Domination Indepence Clique

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

More information

Chapter 4. square sum graphs. 4.1 Introduction

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

More information

Matching Theory. Figure 1: Is this graph bipartite?

Matching Theory. Figure 1: Is this graph bipartite? Matching Theory 1 Introduction A matching M of a graph is a subset of E such that no two edges in M share a vertex; edges which have this property are called independent edges. A matching M is said to

More information

Triple Connected Domination Number of a Graph

Triple Connected Domination Number of a Graph International J.Math. Combin. Vol.3(2012), 93-104 Triple Connected Domination Number of a Graph G.Mahadevan, Selvam Avadayappan, J.Paulraj Joseph and T.Subramanian Department of Mathematics Anna University:

More information

Module 11. Directed Graphs. Contents

Module 11. Directed Graphs. Contents Module 11 Directed Graphs Contents 11.1 Basic concepts......................... 256 Underlying graph of a digraph................ 257 Out-degrees and in-degrees.................. 258 Isomorphism..........................

More information

Algorithm and Complexity of Disjointed Connected Dominating Set Problem on Trees

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

More information

Exercise set 2 Solutions

Exercise set 2 Solutions Exercise set 2 Solutions Let H and H be the two components of T e and let F E(T ) consist of the edges of T with one endpoint in V (H), the other in V (H ) Since T is connected, F Furthermore, since T

More information

Figure 2.1: A bipartite graph.

Figure 2.1: A bipartite graph. Matching problems The dance-class problem. A group of boys and girls, with just as many boys as girls, want to dance together; hence, they have to be matched in couples. Each boy prefers to dance with

More information

Trail Making Game. Hyun Sung Jun Jaehoon Kim Sang-il Oum Department of Mathematical Sciences KAIST, Daejeon, , Republic of Korea.

Trail Making Game. Hyun Sung Jun Jaehoon Kim Sang-il Oum Department of Mathematical Sciences KAIST, Daejeon, , Republic of Korea. Trail Making Game Hyun Sung Jun Jaehoon Kim Sang-il Oum Department of Mathematical Sciences KAIST, Daejeon, 305-701, Republic of Korea. May 7, 2009 Abstract Trail Making is a game played on a graph with

More information

{(ao, a0, (al, a2),..., (an-1, an)}

{(ao, a0, (al, a2),..., (an-1, an)} JOURNAL OF COMBINATORIAL THEORY 5, 378--385 (1968) On the Maximal Distance of Spanning Trees G. BARON AND W. IMRICH 3. lnstitut fiir Mathematik, Technische Hochschule,.4-1040 Vienna,,4ustria Communicated

More information

Math 170- Graph Theory Notes

Math 170- Graph Theory Notes 1 Math 170- Graph Theory Notes Michael Levet December 3, 2018 Notation: Let n be a positive integer. Denote [n] to be the set {1, 2,..., n}. So for example, [3] = {1, 2, 3}. To quote Bud Brown, Graph theory

More information

Paths, Flowers and Vertex Cover

Paths, Flowers and Vertex Cover Paths, Flowers and Vertex Cover Venkatesh Raman, M.S. Ramanujan, and Saket Saurabh Presenting: Hen Sender 1 Introduction 2 Abstract. It is well known that in a bipartite (and more generally in a Konig)

More information

The Structure of Bull-Free Perfect Graphs

The Structure of Bull-Free Perfect Graphs The Structure of Bull-Free Perfect Graphs Maria Chudnovsky and Irena Penev Columbia University, New York, NY 10027 USA May 18, 2012 Abstract The bull is a graph consisting of a triangle and two vertex-disjoint

More information

CLASSES OF VERY STRONGLY PERFECT GRAPHS. Ganesh R. Gandal 1, R. Mary Jeya Jothi 2. 1 Department of Mathematics. Sathyabama University Chennai, INDIA

CLASSES OF VERY STRONGLY PERFECT GRAPHS. Ganesh R. Gandal 1, R. Mary Jeya Jothi 2. 1 Department of Mathematics. Sathyabama University Chennai, INDIA Inter national Journal of Pure and Applied Mathematics Volume 113 No. 10 2017, 334 342 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Abstract: CLASSES

More information

Rainbow game domination subdivision number of a graph

Rainbow game domination subdivision number of a graph Rainbow game domination subdivision number of a graph J. Amjadi Department of Mathematics Azarbaijan Shahid Madani University Tabriz, I.R. Iran j-amjadi@azaruniv.edu Abstract The rainbow game domination

More information

Bipartite Roots of Graphs

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

More information

arxiv: v1 [cs.dm] 30 Apr 2014

arxiv: v1 [cs.dm] 30 Apr 2014 The stable set polytope of (P 6,triangle)-free graphs and new facet-inducing graphs Raffaele Mosca arxiv:1404.7623v1 [cs.dm] 30 Apr 2014 May 1, 2014 Abstract The stable set polytope of a graph G, denoted

More information

Chapter 3: Paths and Cycles

Chapter 3: Paths and Cycles Chapter 3: Paths and Cycles 5 Connectivity 1. Definitions: Walk: finite sequence of edges in which any two consecutive edges are adjacent or identical. (Initial vertex, Final vertex, length) Trail: walk

More information

Paths, Flowers and Vertex Cover

Paths, Flowers and Vertex Cover Paths, Flowers and Vertex Cover Venkatesh Raman M. S. Ramanujan Saket Saurabh Abstract It is well known that in a bipartite (and more generally in a König) graph, the size of the minimum vertex cover is

More information

arxiv: v2 [math.co] 25 May 2016

arxiv: v2 [math.co] 25 May 2016 arxiv:1605.06638v2 [math.co] 25 May 2016 A note on a conjecture of Gyárfás Ryan R. Martin Abstract This note proves that, given one member, T, of a particular family of radius-three trees, every radius-two,

More information

The Probabilistic Method

The Probabilistic Method The Probabilistic Method Po-Shen Loh June 2010 1 Warm-up 1. (Russia 1996/4 In the Duma there are 1600 delegates, who have formed 16000 committees of 80 persons each. Prove that one can find two committees

More information

Three-Dimensional Grid Drawings of Graphs

Three-Dimensional Grid Drawings of Graphs Three-Dimensional Grid Drawings of Graphs J&nos Pach*, Torsten Thiele ~ and G~za T6th ~-~ Courant Institute, New York University Abstract. A three-dimensional grid drawing of ~, graph G is a placement

More information

GEOMETRIC DISTANCE-REGULAR COVERS

GEOMETRIC DISTANCE-REGULAR COVERS NEW ZEALAND JOURNAL OF MATHEMATICS Volume 22 (1993), 31-38 GEOMETRIC DISTANCE-REGULAR COVERS C.D. G o d s i l 1 (Received March 1993) Abstract. Let G be a distance-regular graph with valency k and least

More information

Parameterized Complexity of Independence and Domination on Geometric Graphs

Parameterized Complexity of Independence and Domination on Geometric Graphs Parameterized Complexity of Independence and Domination on Geometric Graphs Dániel Marx Institut für Informatik, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany. dmarx@informatik.hu-berlin.de

More information

A matching of maximum cardinality is called a maximum matching. ANn s/2

A matching of maximum cardinality is called a maximum matching. ANn s/2 SIAM J. COMPUT. Vol. 2, No. 4, December 1973 Abstract. ANn s/2 ALGORITHM FOR MAXIMUM MATCHINGS IN BIPARTITE GRAPHS* JOHN E. HOPCROFT" AND RICHARD M. KARP The present paper shows how to construct a maximum

More information

arxiv: v1 [math.co] 4 Apr 2011

arxiv: v1 [math.co] 4 Apr 2011 arxiv:1104.0510v1 [math.co] 4 Apr 2011 Minimal non-extensible precolorings and implicit-relations José Antonio Martín H. Abstract. In this paper I study a variant of the general vertex coloring problem

More information

Acyclic Edge Colorings of Graphs

Acyclic Edge Colorings of Graphs Acyclic Edge Colorings of Graphs Noga Alon Ayal Zaks Abstract A proper coloring of the edges of a graph G is called acyclic if there is no 2-colored cycle in G. The acyclic edge chromatic number of G,

More information

Multiple Vertex Coverings by Cliques

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

More information

ON THE STRONGLY REGULAR GRAPH OF PARAMETERS

ON THE STRONGLY REGULAR GRAPH OF PARAMETERS ON THE STRONGLY REGULAR GRAPH OF PARAMETERS (99, 14, 1, 2) SUZY LOU AND MAX MURIN Abstract. In an attempt to find a strongly regular graph of parameters (99, 14, 1, 2) or to disprove its existence, we

More information

Graph Theory. Connectivity, Coloring, Matching. Arjun Suresh 1. 1 GATE Overflow

Graph Theory. Connectivity, Coloring, Matching. Arjun Suresh 1. 1 GATE Overflow Graph Theory Connectivity, Coloring, Matching Arjun Suresh 1 1 GATE Overflow GO Classroom, August 2018 Thanks to Subarna/Sukanya Das for wonderful figures Arjun, Suresh (GO) Graph Theory GATE 2019 1 /

More information

Math 443/543 Graph Theory Notes 11: Graph minors and Kuratowski s Theorem

Math 443/543 Graph Theory Notes 11: Graph minors and Kuratowski s Theorem Math 443/543 Graph Theory Notes 11: Graph minors and Kuratowski s Theorem David Glickenstein November 26, 2008 1 Graph minors Let s revisit some de nitions. Let G = (V; E) be a graph. De nition 1 Removing

More information

Ma/CS 6b Class 5: Graph Connectivity

Ma/CS 6b Class 5: Graph Connectivity Ma/CS 6b Class 5: Graph Connectivity By Adam Sheffer Communications Network We are given a set of routers and wish to connect pairs of them to obtain a connected communications network. The network should

More information

A generalization of zero divisor graphs associated to commutative rings

A generalization of zero divisor graphs associated to commutative rings Proc. Indian Acad. Sci. (Math. Sci.) (2018) 128:9 https://doi.org/10.1007/s12044-018-0389-0 A generalization of zero divisor graphs associated to commutative rings M. AFKHAMI 1, A. ERFANIAN 2,, K. KHASHYARMANESH

More information

PETAL GRAPHS. Vellore, INDIA

PETAL GRAPHS. Vellore, INDIA International Journal of Pure and Applied Mathematics Volume 75 No. 3 2012, 269-278 ISSN: 1311-8080 (printed version) url: http://www.ijpam.eu PA ijpam.eu PETAL GRAPHS V. Kolappan 1, R. Selva Kumar 2 1,2

More information

Answers to specimen paper questions. Most of the answers below go into rather more detail than is really needed. Please let me know of any mistakes.

Answers to specimen paper questions. Most of the answers below go into rather more detail than is really needed. Please let me know of any mistakes. Answers to specimen paper questions Most of the answers below go into rather more detail than is really needed. Please let me know of any mistakes. Question 1. (a) The degree of a vertex x is the number

More information

CHAPTER 2. Graphs. 1. Introduction to Graphs and Graph Isomorphism

CHAPTER 2. Graphs. 1. Introduction to Graphs and Graph Isomorphism CHAPTER 2 Graphs 1. Introduction to Graphs and Graph Isomorphism 1.1. The Graph Menagerie. Definition 1.1.1. A simple graph G = (V, E) consists of a set V of vertices and a set E of edges, represented

More information

Claw-Free Graphs With Strongly Perfect Complements. Fractional and Integral Version.

Claw-Free Graphs With Strongly Perfect Complements. Fractional and Integral Version. Claw-Free Graphs With Strongly Perfect Complements. Fractional and Integral Version. Part I. Basic graphs Maria Chudnovsky Department of Industrial Engineering and Operations Research Columbia University,

More information

5 Matchings in Bipartite Graphs and Their Applications

5 Matchings in Bipartite Graphs and Their Applications 5 Matchings in Bipartite Graphs and Their Applications 5.1 Matchings Definition 5.1 A matching M in a graph G is a set of edges of G, none of which is a loop, such that no two edges in M have a common

More information

The Restrained Edge Geodetic Number of a Graph

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

More information

11.4 Bipartite Multigraphs

11.4 Bipartite Multigraphs 11.4 Bipartite Multigraphs Introduction Definition A graph G is bipartite if we can partition the vertices into two disjoint subsets U and V such that every edge of G has one incident vertex in U and the

More information

CHAPTER 8. Copyright Cengage Learning. All rights reserved.

CHAPTER 8. Copyright Cengage Learning. All rights reserved. CHAPTER 8 RELATIONS Copyright Cengage Learning. All rights reserved. SECTION 8.3 Equivalence Relations Copyright Cengage Learning. All rights reserved. The Relation Induced by a Partition 3 The Relation

More information

Vertex 3-colorability of claw-free graphs

Vertex 3-colorability of claw-free graphs Algorithmic Operations Research Vol.2 (27) 5 2 Vertex 3-colorability of claw-free graphs Marcin Kamiński a Vadim Lozin a a RUTCOR - Rutgers University Center for Operations Research, 64 Bartholomew Road,

More information

PAIRED-DOMINATION. S. Fitzpatrick. Dalhousie University, Halifax, Canada, B3H 3J5. and B. Hartnell. Saint Mary s University, Halifax, Canada, B3H 3C3

PAIRED-DOMINATION. S. Fitzpatrick. Dalhousie University, Halifax, Canada, B3H 3J5. and B. Hartnell. Saint Mary s University, Halifax, Canada, B3H 3C3 Discussiones Mathematicae Graph Theory 18 (1998 ) 63 72 PAIRED-DOMINATION S. Fitzpatrick Dalhousie University, Halifax, Canada, B3H 3J5 and B. Hartnell Saint Mary s University, Halifax, Canada, B3H 3C3

More information

Packing Edge-Disjoint Triangles in Given Graphs

Packing Edge-Disjoint Triangles in Given Graphs Electronic Colloquium on Computational Complexity, Report No. 13 (01) Packing Edge-Disjoint Triangles in Given Graphs Tomás Feder Carlos Subi Abstract Given a graph G, we consider the problem of finding

More information

Vertex-Transitive Graphs Of Prime-Squared Order Are Hamilton-Decomposable

Vertex-Transitive Graphs Of Prime-Squared Order Are Hamilton-Decomposable Vertex-Transitive Graphs Of Prime-Squared Order Are Hamilton-Decomposable Brian Alspach School of Mathematical and Physical Sciences University of Newcastle Callaghan, NSW 2308, Australia Darryn Bryant

More information

A generalization of Mader s theorem

A generalization of Mader s theorem A generalization of Mader s theorem Ajit A. Diwan Department of Computer Science and Engineering Indian Institute of Technology, Bombay Mumbai, 4000076, India. email: aad@cse.iitb.ac.in 18 June 2007 Abstract

More information

Generalized Pebbling Number

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

More information

The strong chromatic number of a graph

The strong chromatic number of a graph The strong chromatic number of a graph Noga Alon Abstract It is shown that there is an absolute constant c with the following property: For any two graphs G 1 = (V, E 1 ) and G 2 = (V, E 2 ) on the same

More information

Part II. Graph Theory. Year

Part II. Graph Theory. Year Part II Year 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2017 53 Paper 3, Section II 15H Define the Ramsey numbers R(s, t) for integers s, t 2. Show that R(s, t) exists for all s,

More information

CONNECTIVITY AND NETWORKS

CONNECTIVITY AND NETWORKS CONNECTIVITY AND NETWORKS We begin with the definition of a few symbols, two of which can cause great confusion, especially when hand-written. Consider a graph G. (G) the degree of the vertex with smallest

More information

Hamiltonian cycles in bipartite quadrangulations on the torus

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

More information

Subdivisions of Graphs: A Generalization of Paths and Cycles

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

More information

Sources for this lecture. 3. Matching in bipartite and general graphs. Symmetric difference

Sources for this lecture. 3. Matching in bipartite and general graphs. Symmetric difference S-72.2420 / T-79.5203 Matching in bipartite and general graphs 1 3. Matching in bipartite and general graphs Let G be a graph. A matching M in G is a set of nonloop edges with no shared endpoints. Let

More information

CMSC Honors Discrete Mathematics

CMSC Honors Discrete Mathematics CMSC 27130 Honors Discrete Mathematics Lectures by Alexander Razborov Notes by Justin Lubin The University of Chicago, Autumn 2017 1 Contents I Number Theory 4 1 The Euclidean Algorithm 4 2 Mathematical

More information

Matching and Factor-Critical Property in 3-Dominating-Critical Graphs

Matching and Factor-Critical Property in 3-Dominating-Critical Graphs Matching and Factor-Critical Property in 3-Dominating-Critical Graphs Tao Wang a,, Qinglin Yu a,b a Center for Combinatorics, LPMC Nankai University, Tianjin, China b Department of Mathematics and Statistics

More information

SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics. An Introduction to Graph Theory

SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics. An Introduction to Graph Theory SCHOOL OF ENGINEERING & BUILT ENVIRONMENT Mathematics An Introduction to Graph Theory. Introduction. Definitions.. Vertices and Edges... The Handshaking Lemma.. Connected Graphs... Cut-Points and Bridges.

More information

arxiv: v2 [math.co] 13 Aug 2013

arxiv: v2 [math.co] 13 Aug 2013 Orthogonality and minimality in the homology of locally finite graphs Reinhard Diestel Julian Pott arxiv:1307.0728v2 [math.co] 13 Aug 2013 August 14, 2013 Abstract Given a finite set E, a subset D E (viewed

More information

Zhibin Huang 07. Juni Zufällige Graphen

Zhibin Huang 07. Juni Zufällige Graphen Zhibin Huang 07. Juni 2010 Seite 2 Contents The Basic Method The Probabilistic Method The Ramsey Number R( k, l) Linearity of Expectation Basics Splitting Graphs The Probabilistic Lens: High Girth and

More information

Monochromatic loose-cycle partitions in hypergraphs

Monochromatic loose-cycle partitions in hypergraphs Monochromatic loose-cycle partitions in hypergraphs András Gyárfás Alfréd Rényi Institute of Mathematics Hungarian Academy of Sciences Budapest, P.O. Box 27 Budapest, H-364, Hungary gyarfas.andras@renyi.mta.hu

More information

THE RAINBOW DOMINATION SUBDIVISION NUMBERS OF GRAPHS. N. Dehgardi, S. M. Sheikholeslami and L. Volkmann. 1. Introduction

THE RAINBOW DOMINATION SUBDIVISION NUMBERS OF GRAPHS. N. Dehgardi, S. M. Sheikholeslami and L. Volkmann. 1. Introduction MATEMATIQKI VESNIK 67, 2 (2015), 102 114 June 2015 originalni nauqni rad research paper THE RAINBOW DOMINATION SUBDIVISION NUMBERS OF GRAPHS N. Dehgardi, S. M. Sheikholeslami and L. Volkmann Abstract.

More information

Theorem 2.9: nearest addition algorithm

Theorem 2.9: nearest addition algorithm There are severe limits on our ability to compute near-optimal tours It is NP-complete to decide whether a given undirected =(,)has a Hamiltonian cycle An approximation algorithm for the TSP can be used

More information

1 Digraphs. Definition 1

1 Digraphs. Definition 1 1 Digraphs Definition 1 Adigraphordirected graphgisatriplecomprisedofavertex set V(G), edge set E(G), and a function assigning each edge an ordered pair of vertices (tail, head); these vertices together

More information

GRAPH OF ANY GRAPH WITH PATH

GRAPH OF ANY GRAPH WITH PATH CHAPTER 4 b-coloring OF CORONA GRAPHS In this Chapter, the author finds that the b-chromatic number on corona graph of any graph G of order n0. with path P n, cycle C n and complete graph K n. Finally,

More information

Basic Combinatorics. Math 40210, Section 01 Fall Homework 4 Solutions

Basic Combinatorics. Math 40210, Section 01 Fall Homework 4 Solutions Basic Combinatorics Math 40210, Section 01 Fall 2012 Homework 4 Solutions 1.4.2 2: One possible implementation: Start with abcgfjiea From edge cd build, using previously unmarked edges: cdhlponminjkghc

More information

5 Graphs

5 Graphs 5 Graphs jacques@ucsd.edu Some of the putnam problems are to do with graphs. They do not assume more than a basic familiarity with the definitions and terminology of graph theory. 5.1 Basic definitions

More information

MATH 350 GRAPH THEORY & COMBINATORICS. Contents

MATH 350 GRAPH THEORY & COMBINATORICS. Contents MATH 350 GRAPH THEORY & COMBINATORICS PROF. SERGEY NORIN, FALL 2013 Contents 1. Basic definitions 1 2. Connectivity 2 3. Trees 3 4. Spanning Trees 3 5. Shortest paths 4 6. Eulerian & Hamiltonian cycles

More information

The Geodesic Integral on Medial Graphs

The Geodesic Integral on Medial Graphs The Geodesic Integral on Medial Graphs Kolya Malkin August 013 We define the geodesic integral defined on paths in the duals of medial graphs on surfaces and use it to study lens elimination and connection

More information

MATH 363 Final Wednesday, April 28. Final exam. You may use lemmas and theorems that were proven in class and on assignments unless stated otherwise.

MATH 363 Final Wednesday, April 28. Final exam. You may use lemmas and theorems that were proven in class and on assignments unless stated otherwise. Final exam This is a closed book exam. No calculators are allowed. Unless stated otherwise, justify all your steps. You may use lemmas and theorems that were proven in class and on assignments unless stated

More information

V10 Metabolic networks - Graph connectivity

V10 Metabolic networks - Graph connectivity V10 Metabolic networks - Graph connectivity Graph connectivity is related to analyzing biological networks for - finding cliques - edge betweenness - modular decomposition that have been or will be covered

More information