SlideShare a Scribd company logo
1 of 6
Download to read offline
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2781
RECURRENCE RELATION FOR ACHROMATIC NUMBER OF LINE GRAPH
OF GRAPH
Smita A.Bhatavadekar1
1Assistant Professor at Lokmanya Tilak college of Engineering,Koparkhairane, Navi Mumbai,India.
---------------------------------------------------------------------------***--------------------------------------------------------------------------
Abstract – In this paper, we have studied vertex
coloring, chromatic and achromatic number of a
graph. For certain n , upper bound of A(n) is
discussed. A recurring relation is obtained for A(n),n
≥ 4.
Key Words: k-colouring, colourclass, chromatic number,
achromatic number, Line graph.
1.INTRODUCTION
A k-colouring of a graph G is a labeling
f : V (G) →S, where |S| = k . Often we use S = [k] = {1, 2,
.., k}. The labels are colours.Theverticesofonecolour
form a colourclass. A k-colouring is properifadjacent
vertices have different colours or labels.
A graph is k-colourable if it has a proper k-
colouring. The chromatic number χ(G) is the least k,
such that G is k-colourable.i.e theredoesnotexistany
proper k − 1 colouring.
The Achromatic number : The largest k so that there
exists a complete k-colouring of V (G) is called the
achromatic number Ψ(G). For any k between χ(G)
and Ψ(G) a complete k-colouring of G exists.
Line Graph: The Line graph of G, written as L(G), is
the simple graph whose vertices are the edges of G,
with ef∈ E(L(G)) when e and f have a common
endpoint in G.
Let G = Kn , then Ψ(G) = Ψ(Kn ) = A(n)
The achromatic number A(n) of the line graph of K n
i.e. A(n) = Ψ(L(Kn )).
Results and Discussion:
Lemma 1. For any t < (n − 1) /2 A(n) ≤ max {g(n, t + 1),
h(n, t + 1)}
Proof. Consider any complete k- colouring of
L(K n ). Assume that there is a
colourclass Γ with s ≤ t edges of Kn in it. (i.e. 2s vertices of
L( Kn )
Let S be the set of 2s nodes of Kn covered by the s edges in
Γ.
An edge of Kn is adjacent to an edge of Γ in L(K n ) has an
endnode inS Since K n is n − 1 regular, at each point of S,
there are n − 1 edges of K n incident with it. i.e.2s(n − 1)
edges in K n incident on S.
Thus, there are 2s(2s − 1) posssible edges in S,but counted
twice.
Therefore, total No. of edges in S is
2s(2s − 1)]/2= S(2s − 1)
Thus there are s(2s − 1) edges of K n incident with two
points of S.
Thus No. of edges of Kn not in Γ but incident with a point of
S is 2s(n − 1) − s(2s − 1) − s
= 2sn − 2s − 2s 2 + s − s
= 2s(n − s − 1)
= g(n, s)
Now, Γ is a colourclass and k-colouring is a proper
colouring.
Therefore, Γ must be adjacent to atleast one edge of every
other colourclass.
Thus, there are atleast k −1 edges starting from S but
having other endpoints outside Γ and S There are suchg(n,
s) edges.
k − 1 ≤ g(n, s)
k ≤ g(n, s) + 1
But, s ≤ t and t <(n − 1)/2 and g(n, s) is increasing for t < (n
− 1)/2
g(n, s) + 1 ≤ g(n, t) + 1
k ≤ g(n, t) + 1
Hence, A(n) ≤ max{g(n, t) + 1, h(n, t) + 1} as if g(n, t) + 1 is
maximum A(n) = k ≤ g(n, t) + 1. if g(n, t) + 1 is not
maximum then g(n, t) + 1 ≤ h(n, t) + 1
But k = A(n) ≤ g(n, t) + 1 ≤ h(n, t) + 1
Thus, A(n) ≤ max {g(n, t) + 1, h(n, t) + 1}
Now if no colourclass contains No. of edges ≤ t i.e. every
colourclass contains atleast t + 1 edges.
But there are in all n(n − 1)/2 edges,
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2782
We can have almost [(n[n-1]/2)/(t+1)] colourclasses. i.e.
[n(n−1)]/(2(t+1) = h(n, t + 1) Thus, k ≤ h(n, t + 1)
Thus by similar arguements,
A(n) = k ≤ max{g(n, t) + 1, h(n, t) + 1}
Notations:
Let [x] denote the greatest integer in x.
βt(n) = max{g(n, t) + 1, [h(n, t + 1) ]}
B(n) = min{βt (n)|0 < t <
(n-1)/2
Lemma can be formulated as A(n) ≤ B(n)
Lemma 2. suppose t ≥ 2, 4t2 − t ≤ n ≤ 4t2 + 3t − 1 then B(n)
= g(n, t) + 1, If 4t2 + 3t ≤ n ≤ 4(t + 1)2 − t − 2 then B(n) =
[h(n, t + 1)].
Proof. We need to compare g and h. Note that g is an
integer.
So, g(n, t) + 1 ≤ [h(n, t)] iff g(n, t) + 1 ≤ h(n, t)
i.e. iff 0 ≤ h(n, t) − g(n, t) − 1
Let p(n, t) = h(n, t) − g(n, t) − 1
Thus g(n, t) + 1 ≤[ h(n, t)] iff p(n, t) ≥ 0 .......(1)
p(n, t) = h(n, t) − g(n, t) − 1
=[n(n − 1)
]/2t− 2t(n − t − 1) − 1
=[n(n − 1) − 4t2 (n − t − 1) − 2t
]/2t
Now 2tp(n, t) = n2 − n − 4t2 n + 4t 3+ 4t2− 2t
= n2 −(4t2 + 1)n + 4t 3+ 4t2− 2t
Now consider q(n, t) = h(n, t + 1) − g(n, t) − 1
Thus, g(n, t) + 1 ≤ [h(n, t + 1)]
iff q(n, t) ≥ 0 .........(2)
q(n, t) = h(n, t + 1) − g(n, t) − 1
=[n(n − 1)]/[2(t + 1)]− 2t(n − t − 1) − 1
Now
2(t + 1)q(n, t) = n(n − 1) − 4(t2 + t)(n − t − 1) − 2(t + 1)
= n2− n4nt2 + 4t 3+ 4t2 − 4nt + 4t2 + 4t − 2(t + 1)
= n2− (4t2 + 4t + 1)n + 4t(t + 1)2 − 2(t + 1)
Now consider,
p(4t2 − t − 1, t) = −3t2 + t + 2 < 0 if t > 0
p(4t2 − t, t) = t2 − t ≥ 0 if t > 0
q(4t2 − t, t) = − − 3t2 -3t< 0 if t > 0
q(4t2 + 3t, t) = t2 − t − 2 ≥ 0 if t ≥ 2
Let us denote this set of statement as ∗Λ Now, let t ≥
2,differentiating q(x, t) with
respect to x
Dx q(x, t) = 2x − (4t2 + 4t + 1)
Consider 4t2 − t ≤ x ≤ 4t2 + 3t − 1
For x ≥ 4t2− t
Dx q(x, t) = 2( 4t2 − t) − ( 4t2+ 4t + 1)
= 8t2 − 2t − 4t2 − 4t − 1
= 4t2 − 6t − 1
≥ 0
(t ≥ 2)
Thus, for x ≥ 4t2 − t we get Dx q(x, t) > 0
Therefore, q(x, t) is increasing function. By Λ,q(4t2+3t−1)
< 0
Hence q(n, t) < 0
∀n such that 4t2 − t ≤ n ≤ 4t2 + 3t − 1
By (2) ,
for such n, h(n, t + 1) < g(n, t) + 1 ..........(3)
So, βt (n) = g(n, t) + 1 ..............(4)
by definition of βt (n)
Now,if t < u <(n-1)/2 ,then g(n, u) + 1 ≥ g(n, t) + 1 (since g
is increasing.)
> h(n, t + 1) by 3
≥ h(n, u + 1)(as g is increasing f or y <(x − 1)/2
and h is decreasing ).
Thus,
βu(n) ≥ βt(n) ...............(B)
Now, consider s < t, differentiating p(x, t) with respect to x
from (1)
Dxp(x, t) = 2x − ( 4t2 + 1)
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2783
For x ≥ 4t2 − t
Dx p(x, t) = 2( 4t2 − t) − 4t2 − 1
= 8t2 − 2t − 4t2 −1
= 4t2 − 2t − 1
> 0 as t≥ 2
Hence, p(x, t) is increasing.
By Λ, P ( 4t2− t, t) ≥ 0
So, P (n, t) ≥ 0
∀ n ≥ 4t2− t
Thus by (1) for such n,
[h(n, t)] ≥ g(n, t) + 1 ..............(5)
(as t ≥ 2)2.
Hence, for s < t, we get,
βs(n) ≥[ h(n, s + 1)]≥[
h(n, t)
] (as h is increasing)
≥ g(n, t) + 1 by(5)
= βt (n)
Therefore, if s < t then βs (n) ≥ βt(n)
..............(A)
Thus, B(n) = βt(n) = g(n, t) +
1 as desired.
By (A) and (B) we get
B(n) = min{βt(m)}
= βt (n)
= g(n, t) + 1
Now,l
et us consider 4t2 + 3t ≤ n ≤ 4(t + 1)2 − t − 2
We know that, forx ≥ 4t2− t, q(x, t) is increasing.
By Λq( 4t2+ 3t, t) > 0
It implies q(n, t) > 0,
for above choice of n
So,by (2)
[h(n, t + 1)]≥ g(n, t) + 1 ..........(6)
for n ≥ 4t2 + 3t
Hence,βt(n) = [h(n, t + 1)] .........(7)
for n ≥ 4t2 + 3t
Now if s < t
βs(n) ≥[ h(n, s + 1) ]≥ [h(n, t + 1)] = βt (n)
For s < t, βs(n) ≤ βt(n) ...........(C)
Consider t + 1 ≤ u <
(n-1)*2
p(x, t + 1) = x2 − (4(t + 1)2 + 1)x + 4(t + 1)3 + 4(t + 1)2 − 2(t
+ 1)
Therefore,
Dx p(x, t + 1) = 2x − 4(t + 1)2 − 1
Dn p(n, t + 1) = 2n − 4(t + 1)2 − 1
If n ≥ 4t2+ 3t
Dn p(n, t + 1) = 2( 4t2+ 3t) − 4(t + 1)2 − 1
= 8t2 + 6t − 4t2− 8t − 5
= 4t2− 2t − 5
≥ 0
∀t ≥ 2
Thus, Dnp(n, t + 1) is positive for n ≥ 4t2 + 3t
Hence p is increasing for n ≥ 4t2+ 3t.
p(4(t + 1)2 − (t + 1) − 1, t + 1) < 0
p(n, t + 1) < 0
byΛ
∀n ∈ (4t2 + 3t, 4(t + 1)2 − t − 2)
Hence for n in this range, [h(n, t + 1)] ≥ g(n, t + 1) + 1
...........(8)
Thus,
β t (n) =
[h(n, t + 1)
]≤ g(n, t + 1) + 1
≤ g(n, u) + 1
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2784
by(7) and by(8)
(since g is increasing.)
≤ βu (n)
Thus,
βt(n) ≤ βu (n)
for t + 1 < u <
(n − 1
)/2
........(D)
Hence by (C)and(D), βt (n) = min{βt (n)}
Therefore, B(n) = βt (n) = [h(n, t + 1)
] by(7)
Thus proved.
Theorem. A(n + 2) ≥ A(n) + 2
if n > 4.
Proof. Consider an optimal colouring of Kn i.e. with A(n)
colours. We select a maximal collection of Γ disjoint edges
of different colours i.e. no colour is repeated in Γ i.e. there
can be maximum one edge of each colour. But in order to
collect only disjoint edges, there may not be any edge of a
colour. But a vertex at which such an edge is incident is
present in Γ with some edge of different colour.
Thus Γ meets every colourclass, Γ is a matching and can
have maximum n /2 edges since there are n vertices and
edeges are disjoint. Let st be an edge of Γ .
There are n − 2 more edges incidents at t other than st, and
these are all of distinct colours being a proper colouring.
Let tu be the edge whose colour does not occur in Γ .
We collect a maximal set ∆ of disjoint edges coloured with
colours not used in Γ . tu
is one of edge in ∆.Now, we prove that subgraph G
generated by disjoint Γ ∪ ∆ is
bipartite.
Let there be an odd cycle in G = Γ ∪ ∆, say c = e1 e2
e3 .. . . e 2n e2n+1
Let e1∈ ∆, w.l.o.g. then since ∆ is disjoint edge’s collection
e2 . which is having one
vertex common with e1 can not be in ∆.
Therefore e2 ∈ Γ . By similar argument e3 ∈ ∆
and so on . . .
Thus, e2n ∈ Γ
Therefore, e2n+1 ∈ ∆ but e2n+1 and e1 ∈ ∆ and have a vertex
in common.
A contradiction to the construction of ∆.
Hence,there is no odd cycle in G, giving G is bipartite.
So,there exist a proper 2 colouring of vertices of G. (i.e. a
vertex colouring)
Let vertices in one partition of G be coloured by black and
vertices in another partition
of G be coloured by white.
Now, we add two nodes b and w in Kn. Let xy be an edge of
G such that x is black
and y is white. xy either is in Γ or in ∆.
If xy ∈ Γ , we colour edges bx and wy both with the same
colour as that of xy. If
xy ∈ ∆,we colour edges wx and by both with the same
colour as that of xy
Now consider any vertex of G. Since there are at most two
edges, one from and one from Γ at each node of G this is
consistent colouring. See below.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2785
Look at y. There is one orange colour edge yb and one red
color edge yw. (This has become possible to get two
different colour edges at a common vertex of Γ andis ∆due
to bipartition) The edges through y, orange and red inside
Γ and ∆ are going to be of some different colours later on.
More over, since all the colours in Γ ∪ ∆ are different, no
colour appears twice at either b or w.
Now, we erase the old colours on the edgesofΓ andmake Γ
a new colourclass using colour other than used A(n)
colours. Note here that for any edge xy ∈ Γ .Also, bx
and wy are of same old colour. x and y still belong in the
support of old coloursclass.
Infact b and w also are in the support of old colourclass in
this new colouring.
Now, erase the old colours on the edges of ∆ and make ∆ (
Λ) = ∆ ∪ {bw} a new colourclass i.e. other than used ∆(n) +
1 colours. Similar arguments hold true even for each each
xy ∈ ∆ Thus, this new colouring with A(n) + 2 colours is a
proper colouring. Since the supports of old colours are
either left the same or enlarged by b and w, it follows that
any two old colourclasses still meet. Also, Γ meets every
old colour. Therfore, (A(n) + 1)st colour meets every
colourclass. ∆( Λ )meets every old colour not appering on
an edge in Γ . bw is coloured in (A(n) + 2)th colour. Hence
(A(n) + 2)th meets every old colour,as bw meets all
colours and (A(n) + 1)st (A(n) + 2)th colours meet on the
special edges st and tu. Thus colouring is complete.
But this is a colouring of G, a subgraph of Kn+2 , Thus, If
Ψ(G) ≥ A(n) + 2 then Ψ(L(K n+2 )) = A(n + 2) ≥ A(n) + 2
Therefore, A(n + 2) ≥ A(n) + 2.
REFERENCES
[1] indices of the regular complete multipartite graphs.
Discrete Math. 141
[2] (1995), no. 1-3, 6166
[3] MR1475840 (98f:05058) Chiang, Nam-Po; Fu, Hung-
Lin On upper bounds
[4] for the pseudo-achromatic index.Discrete Math. 175
(1997), no. 1-3, 7986
[5] Jamison, R. E.: On the achromatic index of K 12 , Congr.
Numerantium 81
[6] 143148 (1991) MR1152043 (93b:05058)
[7] MR1152043 (93b:05058) Jamison, Robert E. On the
achromatic index of
[8] K 12 . Proceedings of the Twenty-secondSoutheastern
Conference on Combi-
[9] natorics, Graph Theory, and Computing (BatonRouge,
LA, 1991). Congr.
[10] Numer. 81 (1991), 143148.
[11] MR0989126 (90c:05087) Jamison, Robert E. On the
edge achromatic num-
[12] bers of complete graphs. Graph colouring and
variations. Discrete Math. 74
[13] (1989), no. 1-2, 99115.
[14] MR2080106 (2006d:05070) Hork, Mirko; Pola, tefan;
Woniak, Mariusz On
[15] the achromatic index of K q 2 +q for a prime q. Graphs
Combin. 20 (2004), no.
[16] 2, 191203
[17] MR2018843 Hork, Mirko; Pola, tefan Achromatic
number of K 5 × K n for
[18] small nn.Czechoslovak Math. J. 53(128) (2003), no. 4,
963988
[19] MR1826830 (2001m:05107) Hork, Mirko; Pola, tefan
Achromatic number of
[20] K 5 × K n for large n. Discrete Math. 234 (2001), no. 1-
3, 159169
[21] MR1447777 (97m:05097) Hork, Mirko Achromatic
index of K 12 . Ars Combin.
[22] 45 (1997), 271275
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2786
[23] MR1846917 (2002j:05069)Yegnanarayanan,V.Graph
colourings and par-
[24] titions. Combinatorics and computer science
(Palaiseau, 1997). Theoret.
[25] Comput. Sci. 263 (2001), no. 1-2, 5974.
[26] Introduction To Graph Theory by D. West [Phi
publishers]
BIOGRAPHY
M.sc M.phil in Mathematics from Mumbai
university.Currently working as Assistant Proffesor in
Applied Mathematics Department at lokmanya Tilak
college of Engineering,Navi
Mumbai.Maharashtra,India.Currently pursuing Ph.Din
univercity of Mumbai..Her total teaching Experience is 17
years.

More Related Content

What's hot

IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
ijceronline
 

What's hot (20)

Recurrences
RecurrencesRecurrences
Recurrences
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
 
Tetsunao Matsuta
Tetsunao MatsutaTetsunao Matsuta
Tetsunao Matsuta
 
Estimates for a class of non-standard bilinear multipliers
Estimates for a class of non-standard bilinear multipliersEstimates for a class of non-standard bilinear multipliers
Estimates for a class of non-standard bilinear multipliers
 
Trilinear embedding for divergence-form operators
Trilinear embedding for divergence-form operatorsTrilinear embedding for divergence-form operators
Trilinear embedding for divergence-form operators
 
A new Perron-Frobenius theorem for nonnegative tensors
A new Perron-Frobenius theorem for nonnegative tensorsA new Perron-Frobenius theorem for nonnegative tensors
A new Perron-Frobenius theorem for nonnegative tensors
 
Prim algorithm
Prim algorithmPrim algorithm
Prim algorithm
 
Boundedness of the Twisted Paraproduct
Boundedness of the Twisted ParaproductBoundedness of the Twisted Paraproduct
Boundedness of the Twisted Paraproduct
 
Radiation
RadiationRadiation
Radiation
 
On Twisted Paraproducts and some other Multilinear Singular Integrals
On Twisted Paraproducts and some other Multilinear Singular IntegralsOn Twisted Paraproducts and some other Multilinear Singular Integrals
On Twisted Paraproducts and some other Multilinear Singular Integrals
 
Hideitsu Hino
Hideitsu HinoHideitsu Hino
Hideitsu Hino
 
Nodal Domain Theorem for the p-Laplacian on Graphs and the Related Multiway C...
Nodal Domain Theorem for the p-Laplacian on Graphs and the Related Multiway C...Nodal Domain Theorem for the p-Laplacian on Graphs and the Related Multiway C...
Nodal Domain Theorem for the p-Laplacian on Graphs and the Related Multiway C...
 
Solving recurrences
Solving recurrencesSolving recurrences
Solving recurrences
 
Alternative enery sources
Alternative enery sourcesAlternative enery sources
Alternative enery sources
 
Quantitative norm convergence of some ergodic averages
Quantitative norm convergence of some ergodic averagesQuantitative norm convergence of some ergodic averages
Quantitative norm convergence of some ergodic averages
 
Bellman functions and Lp estimates for paraproducts
Bellman functions and Lp estimates for paraproductsBellman functions and Lp estimates for paraproducts
Bellman functions and Lp estimates for paraproducts
 
Some Common Fixed Point Theorems for Multivalued Mappings in Two Metric Spaces
Some Common Fixed Point Theorems for Multivalued Mappings in Two Metric SpacesSome Common Fixed Point Theorems for Multivalued Mappings in Two Metric Spaces
Some Common Fixed Point Theorems for Multivalued Mappings in Two Metric Spaces
 
深層強化学習入門 2020年度Deep Learning基礎講座「強化学習」
深層強化学習入門 2020年度Deep Learning基礎講座「強化学習」深層強化学習入門 2020年度Deep Learning基礎講座「強化学習」
深層強化学習入門 2020年度Deep Learning基礎講座「強化学習」
 
Control as Inference (強化学習とベイズ統計)
Control as Inference (強化学習とベイズ統計)Control as Inference (強化学習とベイズ統計)
Control as Inference (強化学習とベイズ統計)
 
Sbe final exam jan17 - solved-converted
Sbe final exam jan17 - solved-convertedSbe final exam jan17 - solved-converted
Sbe final exam jan17 - solved-converted
 

Similar to Recurrence Relation for Achromatic Number of Line Graph of Graph

University of manchester mathematical formula tables
University of manchester mathematical formula tablesUniversity of manchester mathematical formula tables
University of manchester mathematical formula tables
Gaurav Vasani
 
CS330-Lectures Statistics And Probability
CS330-Lectures Statistics And ProbabilityCS330-Lectures Statistics And Probability
CS330-Lectures Statistics And Probability
bryan111472
 
162943244 solucionario-parte-4-matematicas-avanzadas-para-ingenieria-2da-edic...
162943244 solucionario-parte-4-matematicas-avanzadas-para-ingenieria-2da-edic...162943244 solucionario-parte-4-matematicas-avanzadas-para-ingenieria-2da-edic...
162943244 solucionario-parte-4-matematicas-avanzadas-para-ingenieria-2da-edic...
Miriam Sánchez
 

Similar to Recurrence Relation for Achromatic Number of Line Graph of Graph (20)

Lesson 7: Vector-valued functions
Lesson 7: Vector-valued functionsLesson 7: Vector-valued functions
Lesson 7: Vector-valued functions
 
Signals and Systems Formula Sheet
Signals and Systems Formula SheetSignals and Systems Formula Sheet
Signals and Systems Formula Sheet
 
Recurrence relation solutions
Recurrence relation solutionsRecurrence relation solutions
Recurrence relation solutions
 
Stirling theorem
Stirling theoremStirling theorem
Stirling theorem
 
University of manchester mathematical formula tables
University of manchester mathematical formula tablesUniversity of manchester mathematical formula tables
University of manchester mathematical formula tables
 
pradeepbishtLecture13 div conq
pradeepbishtLecture13 div conqpradeepbishtLecture13 div conq
pradeepbishtLecture13 div conq
 
Lesson 8: Curves, Arc Length, Acceleration
Lesson 8: Curves, Arc Length, AccelerationLesson 8: Curves, Arc Length, Acceleration
Lesson 8: Curves, Arc Length, Acceleration
 
Randić Index of Some Class of Trees with an Algorithm
Randić Index of Some Class of Trees with an AlgorithmRandić Index of Some Class of Trees with an Algorithm
Randić Index of Some Class of Trees with an Algorithm
 
2_Asymptotic notations.pptx
2_Asymptotic notations.pptx2_Asymptotic notations.pptx
2_Asymptotic notations.pptx
 
Unit 1 Operation on signals
Unit 1  Operation on signalsUnit 1  Operation on signals
Unit 1 Operation on signals
 
Csm chapters12
Csm chapters12Csm chapters12
Csm chapters12
 
Scattering theory analogues of several classical estimates in Fourier analysis
Scattering theory analogues of several classical estimates in Fourier analysisScattering theory analogues of several classical estimates in Fourier analysis
Scattering theory analogues of several classical estimates in Fourier analysis
 
Ps02 cmth03 unit 1
Ps02 cmth03 unit 1Ps02 cmth03 unit 1
Ps02 cmth03 unit 1
 
Signals and systems: part i solutions
Signals and systems: part i solutionsSignals and systems: part i solutions
Signals and systems: part i solutions
 
Recurrences
RecurrencesRecurrences
Recurrences
 
Mathematical formula tables
Mathematical formula tablesMathematical formula tables
Mathematical formula tables
 
CS330-Lectures Statistics And Probability
CS330-Lectures Statistics And ProbabilityCS330-Lectures Statistics And Probability
CS330-Lectures Statistics And Probability
 
On Cubic Graceful Labeling
On Cubic Graceful LabelingOn Cubic Graceful Labeling
On Cubic Graceful Labeling
 
162943244 solucionario-parte-4-matematicas-avanzadas-para-ingenieria-2da-edic...
162943244 solucionario-parte-4-matematicas-avanzadas-para-ingenieria-2da-edic...162943244 solucionario-parte-4-matematicas-avanzadas-para-ingenieria-2da-edic...
162943244 solucionario-parte-4-matematicas-avanzadas-para-ingenieria-2da-edic...
 
Statistical Inference Using Stochastic Gradient Descent
Statistical Inference Using Stochastic Gradient DescentStatistical Inference Using Stochastic Gradient Descent
Statistical Inference Using Stochastic Gradient Descent
 

More from IRJET Journal

More from IRJET Journal (20)

TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
 
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURESTUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
 
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
 
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil CharacteristicsEffect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
 
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
 
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
 
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
 
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
 
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADASA REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
 
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
 
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD ProP.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
 
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
 
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare SystemSurvey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
 
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridgesReview on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
 
React based fullstack edtech web application
React based fullstack edtech web applicationReact based fullstack edtech web application
React based fullstack edtech web application
 
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
 
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
 
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
 
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignMultistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
 
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
 

Recently uploaded

notes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.pptnotes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.ppt
MsecMca
 
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
HenryBriggs2
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
ssuser89054b
 

Recently uploaded (20)

Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network Devices
 
Minimum and Maximum Modes of microprocessor 8086
Minimum and Maximum Modes of microprocessor 8086Minimum and Maximum Modes of microprocessor 8086
Minimum and Maximum Modes of microprocessor 8086
 
notes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.pptnotes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.ppt
 
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.pptThermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.ppt
 
Computer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to ComputersComputer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to Computers
 
Bridge Jacking Design Sample Calculation.pptx
Bridge Jacking Design Sample Calculation.pptxBridge Jacking Design Sample Calculation.pptx
Bridge Jacking Design Sample Calculation.pptx
 
Hostel management system project report..pdf
Hostel management system project report..pdfHostel management system project report..pdf
Hostel management system project report..pdf
 
Rums floating Omkareshwar FSPV IM_16112021.pdf
Rums floating Omkareshwar FSPV IM_16112021.pdfRums floating Omkareshwar FSPV IM_16112021.pdf
Rums floating Omkareshwar FSPV IM_16112021.pdf
 
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
 
Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
 
Block diagram reduction techniques in control systems.ppt
Block diagram reduction techniques in control systems.pptBlock diagram reduction techniques in control systems.ppt
Block diagram reduction techniques in control systems.ppt
 
Unleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leapUnleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leap
 
2016EF22_0 solar project report rooftop projects
2016EF22_0 solar project report rooftop projects2016EF22_0 solar project report rooftop projects
2016EF22_0 solar project report rooftop projects
 
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxS1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
 
A Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna MunicipalityA Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna Municipality
 
Learn the concepts of Thermodynamics on Magic Marks
Learn the concepts of Thermodynamics on Magic MarksLearn the concepts of Thermodynamics on Magic Marks
Learn the concepts of Thermodynamics on Magic Marks
 
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
 
Engineering Drawing focus on projection of planes
Engineering Drawing focus on projection of planesEngineering Drawing focus on projection of planes
Engineering Drawing focus on projection of planes
 

Recurrence Relation for Achromatic Number of Line Graph of Graph

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2781 RECURRENCE RELATION FOR ACHROMATIC NUMBER OF LINE GRAPH OF GRAPH Smita A.Bhatavadekar1 1Assistant Professor at Lokmanya Tilak college of Engineering,Koparkhairane, Navi Mumbai,India. ---------------------------------------------------------------------------***-------------------------------------------------------------------------- Abstract – In this paper, we have studied vertex coloring, chromatic and achromatic number of a graph. For certain n , upper bound of A(n) is discussed. A recurring relation is obtained for A(n),n ≥ 4. Key Words: k-colouring, colourclass, chromatic number, achromatic number, Line graph. 1.INTRODUCTION A k-colouring of a graph G is a labeling f : V (G) →S, where |S| = k . Often we use S = [k] = {1, 2, .., k}. The labels are colours.Theverticesofonecolour form a colourclass. A k-colouring is properifadjacent vertices have different colours or labels. A graph is k-colourable if it has a proper k- colouring. The chromatic number χ(G) is the least k, such that G is k-colourable.i.e theredoesnotexistany proper k − 1 colouring. The Achromatic number : The largest k so that there exists a complete k-colouring of V (G) is called the achromatic number Ψ(G). For any k between χ(G) and Ψ(G) a complete k-colouring of G exists. Line Graph: The Line graph of G, written as L(G), is the simple graph whose vertices are the edges of G, with ef∈ E(L(G)) when e and f have a common endpoint in G. Let G = Kn , then Ψ(G) = Ψ(Kn ) = A(n) The achromatic number A(n) of the line graph of K n i.e. A(n) = Ψ(L(Kn )). Results and Discussion: Lemma 1. For any t < (n − 1) /2 A(n) ≤ max {g(n, t + 1), h(n, t + 1)} Proof. Consider any complete k- colouring of L(K n ). Assume that there is a colourclass Γ with s ≤ t edges of Kn in it. (i.e. 2s vertices of L( Kn ) Let S be the set of 2s nodes of Kn covered by the s edges in Γ. An edge of Kn is adjacent to an edge of Γ in L(K n ) has an endnode inS Since K n is n − 1 regular, at each point of S, there are n − 1 edges of K n incident with it. i.e.2s(n − 1) edges in K n incident on S. Thus, there are 2s(2s − 1) posssible edges in S,but counted twice. Therefore, total No. of edges in S is 2s(2s − 1)]/2= S(2s − 1) Thus there are s(2s − 1) edges of K n incident with two points of S. Thus No. of edges of Kn not in Γ but incident with a point of S is 2s(n − 1) − s(2s − 1) − s = 2sn − 2s − 2s 2 + s − s = 2s(n − s − 1) = g(n, s) Now, Γ is a colourclass and k-colouring is a proper colouring. Therefore, Γ must be adjacent to atleast one edge of every other colourclass. Thus, there are atleast k −1 edges starting from S but having other endpoints outside Γ and S There are suchg(n, s) edges. k − 1 ≤ g(n, s) k ≤ g(n, s) + 1 But, s ≤ t and t <(n − 1)/2 and g(n, s) is increasing for t < (n − 1)/2 g(n, s) + 1 ≤ g(n, t) + 1 k ≤ g(n, t) + 1 Hence, A(n) ≤ max{g(n, t) + 1, h(n, t) + 1} as if g(n, t) + 1 is maximum A(n) = k ≤ g(n, t) + 1. if g(n, t) + 1 is not maximum then g(n, t) + 1 ≤ h(n, t) + 1 But k = A(n) ≤ g(n, t) + 1 ≤ h(n, t) + 1 Thus, A(n) ≤ max {g(n, t) + 1, h(n, t) + 1} Now if no colourclass contains No. of edges ≤ t i.e. every colourclass contains atleast t + 1 edges. But there are in all n(n − 1)/2 edges,
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2782 We can have almost [(n[n-1]/2)/(t+1)] colourclasses. i.e. [n(n−1)]/(2(t+1) = h(n, t + 1) Thus, k ≤ h(n, t + 1) Thus by similar arguements, A(n) = k ≤ max{g(n, t) + 1, h(n, t) + 1} Notations: Let [x] denote the greatest integer in x. βt(n) = max{g(n, t) + 1, [h(n, t + 1) ]} B(n) = min{βt (n)|0 < t < (n-1)/2 Lemma can be formulated as A(n) ≤ B(n) Lemma 2. suppose t ≥ 2, 4t2 − t ≤ n ≤ 4t2 + 3t − 1 then B(n) = g(n, t) + 1, If 4t2 + 3t ≤ n ≤ 4(t + 1)2 − t − 2 then B(n) = [h(n, t + 1)]. Proof. We need to compare g and h. Note that g is an integer. So, g(n, t) + 1 ≤ [h(n, t)] iff g(n, t) + 1 ≤ h(n, t) i.e. iff 0 ≤ h(n, t) − g(n, t) − 1 Let p(n, t) = h(n, t) − g(n, t) − 1 Thus g(n, t) + 1 ≤[ h(n, t)] iff p(n, t) ≥ 0 .......(1) p(n, t) = h(n, t) − g(n, t) − 1 =[n(n − 1) ]/2t− 2t(n − t − 1) − 1 =[n(n − 1) − 4t2 (n − t − 1) − 2t ]/2t Now 2tp(n, t) = n2 − n − 4t2 n + 4t 3+ 4t2− 2t = n2 −(4t2 + 1)n + 4t 3+ 4t2− 2t Now consider q(n, t) = h(n, t + 1) − g(n, t) − 1 Thus, g(n, t) + 1 ≤ [h(n, t + 1)] iff q(n, t) ≥ 0 .........(2) q(n, t) = h(n, t + 1) − g(n, t) − 1 =[n(n − 1)]/[2(t + 1)]− 2t(n − t − 1) − 1 Now 2(t + 1)q(n, t) = n(n − 1) − 4(t2 + t)(n − t − 1) − 2(t + 1) = n2− n4nt2 + 4t 3+ 4t2 − 4nt + 4t2 + 4t − 2(t + 1) = n2− (4t2 + 4t + 1)n + 4t(t + 1)2 − 2(t + 1) Now consider, p(4t2 − t − 1, t) = −3t2 + t + 2 < 0 if t > 0 p(4t2 − t, t) = t2 − t ≥ 0 if t > 0 q(4t2 − t, t) = − − 3t2 -3t< 0 if t > 0 q(4t2 + 3t, t) = t2 − t − 2 ≥ 0 if t ≥ 2 Let us denote this set of statement as ∗Λ Now, let t ≥ 2,differentiating q(x, t) with respect to x Dx q(x, t) = 2x − (4t2 + 4t + 1) Consider 4t2 − t ≤ x ≤ 4t2 + 3t − 1 For x ≥ 4t2− t Dx q(x, t) = 2( 4t2 − t) − ( 4t2+ 4t + 1) = 8t2 − 2t − 4t2 − 4t − 1 = 4t2 − 6t − 1 ≥ 0 (t ≥ 2) Thus, for x ≥ 4t2 − t we get Dx q(x, t) > 0 Therefore, q(x, t) is increasing function. By Λ,q(4t2+3t−1) < 0 Hence q(n, t) < 0 ∀n such that 4t2 − t ≤ n ≤ 4t2 + 3t − 1 By (2) , for such n, h(n, t + 1) < g(n, t) + 1 ..........(3) So, βt (n) = g(n, t) + 1 ..............(4) by definition of βt (n) Now,if t < u <(n-1)/2 ,then g(n, u) + 1 ≥ g(n, t) + 1 (since g is increasing.) > h(n, t + 1) by 3 ≥ h(n, u + 1)(as g is increasing f or y <(x − 1)/2 and h is decreasing ). Thus, βu(n) ≥ βt(n) ...............(B) Now, consider s < t, differentiating p(x, t) with respect to x from (1) Dxp(x, t) = 2x − ( 4t2 + 1)
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2783 For x ≥ 4t2 − t Dx p(x, t) = 2( 4t2 − t) − 4t2 − 1 = 8t2 − 2t − 4t2 −1 = 4t2 − 2t − 1 > 0 as t≥ 2 Hence, p(x, t) is increasing. By Λ, P ( 4t2− t, t) ≥ 0 So, P (n, t) ≥ 0 ∀ n ≥ 4t2− t Thus by (1) for such n, [h(n, t)] ≥ g(n, t) + 1 ..............(5) (as t ≥ 2)2. Hence, for s < t, we get, βs(n) ≥[ h(n, s + 1)]≥[ h(n, t) ] (as h is increasing) ≥ g(n, t) + 1 by(5) = βt (n) Therefore, if s < t then βs (n) ≥ βt(n) ..............(A) Thus, B(n) = βt(n) = g(n, t) + 1 as desired. By (A) and (B) we get B(n) = min{βt(m)} = βt (n) = g(n, t) + 1 Now,l et us consider 4t2 + 3t ≤ n ≤ 4(t + 1)2 − t − 2 We know that, forx ≥ 4t2− t, q(x, t) is increasing. By Λq( 4t2+ 3t, t) > 0 It implies q(n, t) > 0, for above choice of n So,by (2) [h(n, t + 1)]≥ g(n, t) + 1 ..........(6) for n ≥ 4t2 + 3t Hence,βt(n) = [h(n, t + 1)] .........(7) for n ≥ 4t2 + 3t Now if s < t βs(n) ≥[ h(n, s + 1) ]≥ [h(n, t + 1)] = βt (n) For s < t, βs(n) ≤ βt(n) ...........(C) Consider t + 1 ≤ u < (n-1)*2 p(x, t + 1) = x2 − (4(t + 1)2 + 1)x + 4(t + 1)3 + 4(t + 1)2 − 2(t + 1) Therefore, Dx p(x, t + 1) = 2x − 4(t + 1)2 − 1 Dn p(n, t + 1) = 2n − 4(t + 1)2 − 1 If n ≥ 4t2+ 3t Dn p(n, t + 1) = 2( 4t2+ 3t) − 4(t + 1)2 − 1 = 8t2 + 6t − 4t2− 8t − 5 = 4t2− 2t − 5 ≥ 0 ∀t ≥ 2 Thus, Dnp(n, t + 1) is positive for n ≥ 4t2 + 3t Hence p is increasing for n ≥ 4t2+ 3t. p(4(t + 1)2 − (t + 1) − 1, t + 1) < 0 p(n, t + 1) < 0 byΛ ∀n ∈ (4t2 + 3t, 4(t + 1)2 − t − 2) Hence for n in this range, [h(n, t + 1)] ≥ g(n, t + 1) + 1 ...........(8) Thus, β t (n) = [h(n, t + 1) ]≤ g(n, t + 1) + 1 ≤ g(n, u) + 1
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2784 by(7) and by(8) (since g is increasing.) ≤ βu (n) Thus, βt(n) ≤ βu (n) for t + 1 < u < (n − 1 )/2 ........(D) Hence by (C)and(D), βt (n) = min{βt (n)} Therefore, B(n) = βt (n) = [h(n, t + 1) ] by(7) Thus proved. Theorem. A(n + 2) ≥ A(n) + 2 if n > 4. Proof. Consider an optimal colouring of Kn i.e. with A(n) colours. We select a maximal collection of Γ disjoint edges of different colours i.e. no colour is repeated in Γ i.e. there can be maximum one edge of each colour. But in order to collect only disjoint edges, there may not be any edge of a colour. But a vertex at which such an edge is incident is present in Γ with some edge of different colour. Thus Γ meets every colourclass, Γ is a matching and can have maximum n /2 edges since there are n vertices and edeges are disjoint. Let st be an edge of Γ . There are n − 2 more edges incidents at t other than st, and these are all of distinct colours being a proper colouring. Let tu be the edge whose colour does not occur in Γ . We collect a maximal set ∆ of disjoint edges coloured with colours not used in Γ . tu is one of edge in ∆.Now, we prove that subgraph G generated by disjoint Γ ∪ ∆ is bipartite. Let there be an odd cycle in G = Γ ∪ ∆, say c = e1 e2 e3 .. . . e 2n e2n+1 Let e1∈ ∆, w.l.o.g. then since ∆ is disjoint edge’s collection e2 . which is having one vertex common with e1 can not be in ∆. Therefore e2 ∈ Γ . By similar argument e3 ∈ ∆ and so on . . . Thus, e2n ∈ Γ Therefore, e2n+1 ∈ ∆ but e2n+1 and e1 ∈ ∆ and have a vertex in common. A contradiction to the construction of ∆. Hence,there is no odd cycle in G, giving G is bipartite. So,there exist a proper 2 colouring of vertices of G. (i.e. a vertex colouring) Let vertices in one partition of G be coloured by black and vertices in another partition of G be coloured by white. Now, we add two nodes b and w in Kn. Let xy be an edge of G such that x is black and y is white. xy either is in Γ or in ∆. If xy ∈ Γ , we colour edges bx and wy both with the same colour as that of xy. If xy ∈ ∆,we colour edges wx and by both with the same colour as that of xy Now consider any vertex of G. Since there are at most two edges, one from and one from Γ at each node of G this is consistent colouring. See below.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2785 Look at y. There is one orange colour edge yb and one red color edge yw. (This has become possible to get two different colour edges at a common vertex of Γ andis ∆due to bipartition) The edges through y, orange and red inside Γ and ∆ are going to be of some different colours later on. More over, since all the colours in Γ ∪ ∆ are different, no colour appears twice at either b or w. Now, we erase the old colours on the edgesofΓ andmake Γ a new colourclass using colour other than used A(n) colours. Note here that for any edge xy ∈ Γ .Also, bx and wy are of same old colour. x and y still belong in the support of old coloursclass. Infact b and w also are in the support of old colourclass in this new colouring. Now, erase the old colours on the edges of ∆ and make ∆ ( Λ) = ∆ ∪ {bw} a new colourclass i.e. other than used ∆(n) + 1 colours. Similar arguments hold true even for each each xy ∈ ∆ Thus, this new colouring with A(n) + 2 colours is a proper colouring. Since the supports of old colours are either left the same or enlarged by b and w, it follows that any two old colourclasses still meet. Also, Γ meets every old colour. Therfore, (A(n) + 1)st colour meets every colourclass. ∆( Λ )meets every old colour not appering on an edge in Γ . bw is coloured in (A(n) + 2)th colour. Hence (A(n) + 2)th meets every old colour,as bw meets all colours and (A(n) + 1)st (A(n) + 2)th colours meet on the special edges st and tu. Thus colouring is complete. But this is a colouring of G, a subgraph of Kn+2 , Thus, If Ψ(G) ≥ A(n) + 2 then Ψ(L(K n+2 )) = A(n + 2) ≥ A(n) + 2 Therefore, A(n + 2) ≥ A(n) + 2. REFERENCES [1] indices of the regular complete multipartite graphs. Discrete Math. 141 [2] (1995), no. 1-3, 6166 [3] MR1475840 (98f:05058) Chiang, Nam-Po; Fu, Hung- Lin On upper bounds [4] for the pseudo-achromatic index.Discrete Math. 175 (1997), no. 1-3, 7986 [5] Jamison, R. E.: On the achromatic index of K 12 , Congr. Numerantium 81 [6] 143148 (1991) MR1152043 (93b:05058) [7] MR1152043 (93b:05058) Jamison, Robert E. On the achromatic index of [8] K 12 . Proceedings of the Twenty-secondSoutheastern Conference on Combi- [9] natorics, Graph Theory, and Computing (BatonRouge, LA, 1991). Congr. [10] Numer. 81 (1991), 143148. [11] MR0989126 (90c:05087) Jamison, Robert E. On the edge achromatic num- [12] bers of complete graphs. Graph colouring and variations. Discrete Math. 74 [13] (1989), no. 1-2, 99115. [14] MR2080106 (2006d:05070) Hork, Mirko; Pola, tefan; Woniak, Mariusz On [15] the achromatic index of K q 2 +q for a prime q. Graphs Combin. 20 (2004), no. [16] 2, 191203 [17] MR2018843 Hork, Mirko; Pola, tefan Achromatic number of K 5 × K n for [18] small nn.Czechoslovak Math. J. 53(128) (2003), no. 4, 963988 [19] MR1826830 (2001m:05107) Hork, Mirko; Pola, tefan Achromatic number of [20] K 5 × K n for large n. Discrete Math. 234 (2001), no. 1- 3, 159169 [21] MR1447777 (97m:05097) Hork, Mirko Achromatic index of K 12 . Ars Combin. [22] 45 (1997), 271275
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2786 [23] MR1846917 (2002j:05069)Yegnanarayanan,V.Graph colourings and par- [24] titions. Combinatorics and computer science (Palaiseau, 1997). Theoret. [25] Comput. Sci. 263 (2001), no. 1-2, 5974. [26] Introduction To Graph Theory by D. West [Phi publishers] BIOGRAPHY M.sc M.phil in Mathematics from Mumbai university.Currently working as Assistant Proffesor in Applied Mathematics Department at lokmanya Tilak college of Engineering,Navi Mumbai.Maharashtra,India.Currently pursuing Ph.Din univercity of Mumbai..Her total teaching Experience is 17 years.