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ISSN: 2005-4238 IJAST Copyright ⓒ 2019 SERSC

Perfect Dominating sets and Perfect Domination Polynomial of a Path

A.M. Anto1, P. Paul Hawkins2 & T. Shyla Isac Mary3

1Assistant Professor, Department of Mathematics,Malankara Catholic College, Mariagiri, Tamil Nadu, India.

2Research Scholar,Reg.no 18223112091013, Research Department of Mathematics, Nesamony Memorial Christian College, Marthandam, Tamil Nadu, India.

3Assistant Professor, Research Department of Mathematics, Nesamony Memorial Christian College, Marthandam, Tamil Nadu, India

1,2,3Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli – 627012,Tamilnadu,India.

Abstract

Let 𝐺 = (𝑉, 𝐸) be a simple graph. A set 𝑆 ⊆ 𝑉 is a perfect dominating set of G, if every vertex 𝑢 in 𝑉 − 𝑆 is adjacent to exactly one vertex in S. Let 𝛲𝑝𝑓(𝑛, 𝑖) be the family of all perfect dominating sets of a path 𝑃𝑛 with cardinality 𝑖, and let 𝑑𝑝𝑓(𝑃𝑛, 𝑖) =

|𝛲𝑝𝑓(𝑛, 𝑖) |. In this paper, we construct 𝛲𝑝𝑓(𝑛, 𝑖) for a path 𝑃𝑛 with 𝑛 vertices and obtain a recursive formula of 𝑑𝑝𝑓(𝑃𝑛, 𝑖) . Using this recursive formula, we consider the polynomial 𝐷𝑝𝑓(𝑃𝑛, 𝑥) = ∑𝑛𝑖=⌈𝑛/3⌉𝑑𝑝𝑓(𝑃𝑛, 𝑖)𝑥𝑖 , which we call perfect domination polynomial of paths and obtain some properties of this polynomial.

Keyword:. Dominating set, Minimal dominating set

1. Introduction

Let 𝐺 = (𝑉, 𝐸) be a simple graph of order |𝑉| = 𝑛. For any vertex 𝑢 ∈ 𝑉, the open neighborhood of 𝑢 is the set 𝑁(𝑢) = {𝑣 ∈ 𝑉|𝑢𝑣 ∈ 𝐸}. A set 𝑆 ⊆ 𝑉 is a dominating set of 𝐺, if every vertex 𝑢 ∈ 𝑉 is a element of 𝑆 or is adjacent to an element of 𝑆 [8].

The dominating set S is a perfect dominating set if |𝑁(𝑢) ∩ 𝑆| = 1 for each ∈ 𝑉 − 𝑆 [8], or equivalently, if every vertex 𝑢 in 𝑉 − 𝑆 is adjacent to exactly one vertex in S. The perfect domination number 𝛾𝑝𝑓 is the minimum cardinality of a perfect dominating set in 𝐺. A path is a connected graph in which the end vertices have degree one and the remaining internal vertices have degree two. Let 𝑃𝑛 be the path with 𝑛 vertices. Let Ρ𝑝𝑓(𝑛, 𝑖) be the family of perfect dominating sets of a path 𝑃𝑛 with cardinality 𝑖 and let 𝑑𝑝𝑓(𝑃𝑛, 𝑖) =

𝑝𝑓(𝑛, 𝑖) |. We call the polynomial 𝐷𝑝𝑓(𝑃𝑛, 𝑥) = ∑𝑛𝑖=⌈𝑛/3⌉𝑑𝑝𝑓(𝑃𝑛, 𝑖)𝑥𝑖 , the perfect domination polynomial of the path 𝑃𝑛. We use ⌈𝑛⌉, for the smallest integer greater than or equal to 𝑛. In this article we denote the set {1,2, . . . , 𝑛} simply by [𝑛]

2. Perfect Dominating sets of a path

Let Ρ𝑝𝑓(𝑛, 𝑖) be the family of perfect dominating sets of the path 𝑃𝑛 with cardinality 𝑖. We are going to investigate perfect dominating sets of path 𝑃𝑛.

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We required the following lemmas to prove our main results in this article.

Lemma 2.1 𝛾𝑝𝑓(𝑃𝑛) = ⌈𝑛

3⌉.

By Lemma 2.1 and the definition of perfect domination number, we have the following lemma.

Lemma 2.2

Ρ𝑝𝑓(𝑛, 𝑖) = ∅, if and only if 𝑖 > 𝑛 or 𝑖 < ⌈𝑛

3⌉ . Proof

Let 𝑃𝑛 be a path with 𝑛 vertices and any member of Ρ𝑝𝑓(𝑛, 𝑖) contains atmost 𝑛 vertices.

Therefore Ρ𝑝𝑓(𝑛, 𝑖) = ∅ for 𝑖 > 𝑛.

Since, ⌈𝑛

3⌉ is a minimum cardinality of perfect dominating sets of path 𝑃𝑛. Hence there is no perfect dominating set of cardinality less than ⌈𝑛

3⌉.

Therefore Ρ𝑝𝑓(𝑛, 𝑖) = ∅ for 𝑖 < ⌈𝑛

3⌉.

Hence, Ρ𝑝𝑓(𝑛, 𝑖) = ∅, if and only if 𝑖 > 𝑛 or 𝑖 < ⌈𝑛

3⌉ . Conversely, if 𝑖 > 𝑛 or 𝑖 < ⌈𝑛

3⌉ then by definition of perfect dominating set of path 𝑃𝑛 we have Ρ𝑝𝑓(𝑛, 𝑖) = ∅.

The following lemma follows from observation.

Lemma 2.3

If 𝐺 be a path of length 3𝑘 − 1, then every perfect dominating set of 𝐺 must contains at least 𝑘 vertices of 𝐺.

Lemma 2.4

𝑖) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅ then Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = ∅.

𝑖𝑖) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅ then Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅.

𝑖𝑖𝑖) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅ then Ρ𝑝𝑓(𝑛, 𝑖) = ∅.

Proof

𝑖)We have, Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅ then by lemma 2.2 𝑖 − 1 > 𝑛 − 1 or 𝑖 − 1 < ⌈𝑛−1

3 ⌉ and 𝑖 − 1 > 𝑛 − 3 or 𝑖 − 1 < ⌈𝑛−3

3 ⌉. Therefore, we get 𝑖 − 1 > 𝑛 − 1 or 𝑖 − 1 < ⌈𝑛−3

3 ⌉ < ⌈𝑛−2

3 ⌉. Hence, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = ∅.

𝑖𝑖)Suppose we assume that, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = ∅ then by lemma 2.2 we have 𝑖 − 1 > 𝑛 − 2 or 𝑖 − 1 < ⌈𝑛−2

3 ⌉. If 𝑖 − 1 > 𝑛 − 2 then 𝑖 − 1 > 𝑛 − 2 > 𝑛 − 3 hence Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅ which is a contradiction. Therefore, we take 𝑖 − 1 <

𝑛−2

3 ⌉ ⟹ 𝑖 − 1 < ⌈𝑛−2

3 ⌉ < ⌈𝑛−1

3 ⌉. Which implies Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = ∅, is also a contradiction. Hence Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅.

𝑖𝑖𝑖) Suppose we assume that, Ρ𝑝𝑓(𝑛, 𝑖) ≠ ∅. Let 𝑌 ∈ 𝑃𝑝𝑓(𝑛, 𝑖) then at least one vertex labeled as 𝑛 or 𝑛 − 1 in 𝑌.

If 𝑛 ∈ 𝑌 then at least one vertex labeled as 𝑛 − 1 or 𝑛 − 3 in 𝑌. If 𝑛 − 1 ∈ 𝑌 then 𝑌 − {𝑛} ∈ Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) is a contradiction that Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = ∅. If

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𝑛 − 3 ∈ 𝑌 then 𝑌 − {𝑛} ∈ Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) is also a contradiction.

Hence we take 𝑛 − 1 ∈ 𝑌 then 𝑛 − 2 ∈ 𝑌 or 𝑛 − 4 ∈ 𝑌. If 𝑛 − 2 ∈ 𝑌 then 𝑌 − {𝑛 − 1} ∈ Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) is a contradiction and if 𝑛 − 4 ∈ 𝑌 then 𝑌 − {𝑛 − 1} ∈ Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) is also leads to a contradiction. Hence Ρ𝑝𝑓(𝑛, 𝑖) = ∅.

Lemma 2.5

If Ρ𝑝𝑓(𝑛, 𝑖) ≠ ∅ then

𝑖)Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅ if and only if 𝑛 = 3𝑘 and 𝑖 = 𝑘 for some 𝑘 ∈ 𝑁;

𝑖𝑖)Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅ and Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅ if and only if 𝑖 = 𝑛;

𝑖𝑖𝑖)Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅ if and only if 𝑛 = 3𝑘 + 2 and 𝑖 = 𝑘 + 1 = ⌈(3𝑘+2)

3 ⌉ for some 𝑘 ∈ 𝑁;

𝑖𝑣)Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅ if and only if 𝑖 = 𝑛 − 1;

𝑣)Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 4, 𝑖 − 1) = ∅ if and only if 𝑖 = 𝑛 − 2.

𝑣𝑖) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 4, 𝑖 − 1) ≠ ∅ if and only if ⌈𝑛−4

3 ⌉ + 1 ≤ 𝑖 ≤ 𝑛 − 3.

Proof

Since, Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = ∅ by lemma 2.2 we have 𝑖 − 1 >

𝑛 − 1 or 𝑖 − 1 < ⌈𝑛−2

3 ⌉. If 𝑖 − 1 > 𝑛 − 1 ⟹ 𝑖 > 𝑛 then again by lemma 2.2 Ρ𝑝𝑓(𝑛, 𝑖) = ∅, is a contradiction. So, we take 𝑖 − 1 < ⌈𝑛−2

3 ⌉ ⟹ 𝑖 < ⌈𝑛−2

3 ⌉ + 1.

Also, since we have Ρ𝑝𝑓(𝑛, 𝑖) ≠ ∅ implies 𝑖 ≥ ⌈𝑛

3⌉. Hence we get ⌈𝑛

3⌉ ≤ 𝑖 <

𝑛−2

3 ⌉ + 1.Suppose we take 𝑛 = 3𝑘 then ⌈𝑛

3⌉ = ⌈3𝑘

3⌉ = 𝑘 and ⌈𝑛−2

3 ⌉ + 1 =

3𝑘−2

3 ⌉ + 1 = ⌈𝑘 −2

3⌉ + 1 = 𝑘 + 1 for some 𝑘 ∈ 𝑁. Hence we have 𝑘 ≤ 𝑖 < 𝑘 + 1. Since 𝑘 ∈ 𝑁 we concluded by 𝑖 = 𝑘. Suppose 𝑛 ≠ 3𝑘 then we have the inequality 𝑘 ≤ 𝑖 < 𝑘 is a contradiction. Therefore, 𝑛 = 3𝑘 and 𝑖 = 𝑘 for some 𝑘 ∈ 𝑁.

Conversely, if 𝑛 = 3𝑘 and 𝑖 = 𝑘 for some 𝑘 ∈ 𝑁.

If 𝑖 = 𝑘 =𝑛

3 Then, 𝑖 − 1 =𝑛

3− 1 =𝑛−3

3

Hence, we get 𝑖 − 1 =𝑛−3

3 < 𝑛−2

3 < ⌈𝑛−2

3 ⌉ and 𝑖 − 1 =𝑛−3

3 <𝑛−1

3 < ⌈𝑛−1

3 ⌉ Therefore, Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = ∅.

Also, 𝑖 − 1 =𝑛

3− 1 =𝑛−3

3 < 𝑛 − 3 ⟹ 𝑖 − 1 < 𝑛 − 3.

Therefore, Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅.

𝑖𝑖) Since Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅ by lemma 2.2 we have 𝑖 − 1 > 𝑛 − 2 or 𝑖 − 1 < ⌈𝑛−3

3 ⌉. If 𝑖 − 1 < ⌈𝑛−3

3 ⌉ then 𝑖 − 1 < ⌈𝑛−3

3 ⌉ < ⌈𝑛−1

3 ⌉.

Therefore, Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅ is a contradiction. So, 𝑖 − 1 > 𝑛 − 2 ⟹ 𝑖 >

𝑛 − 1. Also, Since Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅ we have 𝑖 − 1 ≤ 𝑛 − 1 ⟹ 𝑖 ≤ 𝑛 together we get 𝑛 − 1 < 𝑖 ≤ 𝑛. Therefore 𝑖 = 𝑛.

Conversely, if 𝑖 = 𝑛 then by lemma 2.2 Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 2, 𝑛 − 1) =

∅, Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 3, 𝑛 − 1) = ∅ and Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) =

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Ρ𝑝𝑓(𝑛 − 1, 𝑛 − 1) ≠ ∅.

𝑖𝑖𝑖)Since Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = ∅ then by lemma 2.2 we have 𝑖 − 1 > 𝑛 − 1 or 𝑖 − 1 < ⌈𝑛−1

3 ⌉. If 𝑖 − 1 > 𝑛 − 1 then 𝑖 − 1 > 𝑛 − 2 then by lemma 2.2 Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = ∅ is a contradiction. So 𝑖 − 1 < ⌈𝑛−1

3 ⌉ ⟹ 𝑖 < ⌈𝑛−1

3 ⌉ + 1. Also, since Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ we have 𝑖 − 1 ≥ ⌈𝑛−2

3 ⌉ ⟹ 𝑖 ≥ ⌈𝑛−2

3 ⌉ + 1 together we have

𝑛−2

3 ⌉ + 1 ≤ 𝑖 < ⌈𝑛−1

3 ⌉ + 1.

Suppose we take 𝑛 = 3𝑘 + 2 then ⌈𝑛−2

3 ⌉ = ⌈3𝑘

3⌉ = 𝑘 ⟹ ⌈𝑛−2

3 ⌉ + 1 = 𝑘 + 1 and

𝑛−1

3 ⌉ + 1 = ⌈3𝑘+1

3 ⌉ + 1 = ⌈𝑘 +1

3⌉ + 1 = 𝑘 + 2 for some 𝑘 ∈ 𝑁. Hence we have 𝑘 + 1 ≤ 𝑖 < 𝑘 + 2. Since 𝑘 ∈ 𝑁 we concluded by 𝑖 = 𝑘 + 1. Suppose 𝑛 ≠ 3𝑘 + 2 then we have the inequality 𝑘 ≤ 𝑖 < 𝑘 is a contradiction. Therefore, 𝑛 = 3𝑘 + 2 and 𝑖 = 𝑘 + 1 = ⌈(3𝑘+2)

3 ⌉ for some 𝑘 ∈ 𝑁.

Conversely, if 𝑛 = 3𝑘 + 2 and 𝑖 = 𝑘 + 1 = ⌈(3𝑘+2)

3 ⌉ for some 𝑘 ∈ 𝑁. Now, 𝑛 = 3𝑘 + 2 ⟹ 𝑘 = 𝑛−2

3 and 𝑖 = 𝑘 + 1 ⟹ 𝑖 − 1 = 𝑘. Therefore, 𝑖 − 1 = 𝑛−2

3 <

𝑛−1

3 < ⌈𝑛−1

3 ⌉. Hence, Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = ∅. Also, 𝑖 − 1 =𝑛−2

3

𝑛−2

3 ⌉ ⟹ Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ and 𝑖 − 1 =𝑛−2

3 > ⌈𝑛−3

3 ⌉ ⟹ Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅.

𝑖𝑣)Since Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅ we have 𝑖 − 1 > 𝑛 − 3 or 𝑖 − 1 < ⌈𝑛−3

3 ⌉ ⟹ 𝑖 <

𝑛−3

3 ⌉ + 1. Also, since Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ we have 𝑖 − 1 ≤ 𝑛 − 2 or 𝑖 − 1 ≥

𝑛−2

3 ⌉ hence we get ⌈𝑛−2

3 ⌉ + 1 ≤ 𝑖 ≤ 𝑛 − 1. If 𝑖 < ⌈𝑛−3

3 ⌉ + 1 then ⌈𝑛−2

3 ⌉ + 1 ≤ 𝑖 ≤ 𝑛 − 1 < ⌈𝑛−3

3 ⌉ + 1 is not possible. Therefore, 𝑖 − 1 > 𝑛 − 3 ⟹ 𝑖 > 𝑛 − 2.

Hence 𝑖 = 𝑛 or 𝑖 = 𝑛 − 1. If 𝑖 = 𝑛 then Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 2, 𝑛 − 1) = ∅ is a contradiction. Therefore 𝑖 = 𝑛 − 1.

Conversely, if 𝑖 = 𝑛 − 1 then by lemma 2.2 Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 1, 𝑛 − 2) ≠ ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 2, 𝑛 − 2) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 3, 𝑛 − 2) = ∅.

𝑣) Since, Ρ𝑝𝑓(𝑛 − 4, 𝑖 − 1) = ∅ we have by lemma 2.2 𝑖 − 1 > 𝑛 − 4 or 𝑖 − 1 < ⌈𝑛−4

3 ⌉ ⟹ 𝑖 < ⌈𝑛−4

3 ⌉ + 1.Also since, Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅ then we have 𝑖 − 1 ≥ ⌈𝑛−3

3 ⌉ ⟹ 𝑖 − 1 > ⌈𝑛−4

3 ⌉ ⟹ 𝑖 > ⌈𝑛−4

3 ⌉ + 1. Hence, 𝑖 − 1 < ⌈𝑛−4

3 ⌉ is not possible. Therefore, 𝑖 − 1 > 𝑛 − 4 ⟹ 𝑖 ≥ 𝑛 − 2. But, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ implies 𝑖 ≤ 𝑛 − 2. Hence, 𝑖 = 𝑛 − 2.

Conversely, if 𝑖 = 𝑛 − 2 then, Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 1, 𝑛 − 3) ≠

∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 2, 𝑛 − 3) ≠ ∅, Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 3, 𝑛 − 3) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 4, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 4, 𝑛 − 3) = ∅.

𝑣𝑖) Since, Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 4, 𝑖 − 1) ≠ ∅ by applying lemma 2.2 we have 𝑖 − 1 ≤ 𝑛 − 1 or 𝑖 − 1 ≥ ⌈𝑛−1

3 ⌉ ⟹ ⌈𝑛−1

3 ⌉ ≤ 𝑖 − 1 ≤ 𝑛 − 1, 𝑖 − 1 ≤ 𝑛 − 2 or 𝑖 − 1 ≥ ⌈𝑛−2

3 ⌉ ⟹

𝑛−2

3 ⌉ ≤ 𝑖 − 1 ≤ 𝑛 − 2, 𝑖 − 1 ≤ 𝑛 − 3 or 𝑖 − 1 ≥ ⌈𝑛−3

3 ⌉ ⟹ ⌈𝑛−3

3 ⌉ ≤ 𝑖 − 1 ≤

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𝑛 − 3 and 𝑖 − 1 ≤ 𝑛 − 4 or 𝑖 − 1 ≥ ⌈𝑛−4

3 ⌉ ⟹ ⌈𝑛−4

3 ⌉ ≤ 𝑖 − 1 ≤ 𝑛 − 4. Hence, we have ⌈𝑛−4

3 ⌉ ≤ 𝑖 − 1 ≤ 𝑛 − 4 which implies ⌈𝑛−4

3 ⌉ + 1 ≤ 𝑖 ≤ 𝑛 − 3.

Conversely, if ⌈𝑛−4

3 ⌉ + 1 ≤ 𝑖 ≤ 𝑛 − 3 then by lemma 2.2 Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠

∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅,Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 4, 𝑖 − 1) ≠ ∅.

Theorem 2.6

For every 𝑛 ≥ 4 and 𝑖 ≥ ⌈𝑛

3

𝑖) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅, then Ρ𝑝𝑓(𝑛, 𝑖) = {{2,5,8, … , 𝑛 − 4, 𝑛 − 1}};

𝑖𝑖) If Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅ and Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅, then Ρ𝑝𝑓(𝑛, 𝑖) = {[𝑛]};

𝑖𝑖𝑖) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅, then Ρ𝑝𝑓(𝑛, 𝑖) = {{1,4,7, … ,3𝑛 + 1}, {2,5,8, … ,3𝑛 + 2}};

𝑖𝑣) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅, then Ρ𝑝𝑓(𝑛, 𝑖) = {{1,2,3, … , 𝑛 − 1}, {2,3,4, … , 𝑛}};

𝑣) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 4, 𝑖 − 1) = ∅, then Ρ𝑝𝑓(𝑛, 𝑖) = {{2,3,4, … , 𝑛 − 1}, {[𝑛] − {𝑥𝑖, 𝑥𝑖+1}|𝑖 = 2,3, … 𝑛 − 2}}

Proof

𝑖) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅, then by lemma 2.5 (𝑖), 𝑛 = 3𝑘 and 𝑖 = 𝑘 for some 𝑘 ∈ 𝑁. Therefore, 𝑖 = 𝑘 =𝑛

3. Hence, Ρ𝑝𝑓(𝑛, 𝑖) = Ρ𝑝𝑓(𝑛, 𝑛/3). T. Hence, the only possible perfect dominating set of 𝑃𝑛 with cardinality 𝑖 =𝑛

3 is {2,5,8, … , 𝑛 − 4, 𝑛 − 1}.

𝑖𝑖) If Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) = Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅ and Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅, then by lemma 2.5 (𝑖𝑖) 𝑖 = 𝑛. So, Ρ𝑝𝑓(𝑛, 𝑖) = Ρ𝑝𝑓(𝑛, 𝑛) = {{1,2,3, … , 𝑛}} = {[𝑛]}.

𝑖𝑖𝑖) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) = ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅, then by lemma 2.5(𝑖𝑖𝑖) we have 𝑛 = 3𝑘 + 1 and 𝑖 = 𝑘 + 1. Therefore, 𝑖 =

𝑛+2

3 .Hence, Ρ𝑝𝑓(𝑛, 𝑖) = Ρ𝑝𝑓(𝑛,𝑛+2

3 ). Clearly, {1,4,7, … ,3𝑛 + 1}, {2,5,8, … ,3𝑛 + 2} are the perfect dominating set with cardinality 𝑖 = 𝑛+2

3 and no other sets with cardinality 𝑖 =𝑛+2

3 is a perfect dominating set. Hence, Ρ𝑝𝑓(𝑛, 𝑖) = {{1,4,7, … ,3𝑛 + 1}, {2,5,8, … ,3𝑛 + 2}}.

𝑖𝑣) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) = ∅, then by lemma 2.5 (𝑖𝑣), 𝑖 = 𝑛 − 1. Therefore, Ρ𝑝𝑓(𝑛, 𝑖) = Ρ𝑝𝑓(𝑛, 𝑛 − 1). Clearly, in a path 𝑃𝑛 with 𝑛 vertices the perfect dominating sets with cardinality 𝑛 − 1 is the removal of end vertices. Hence, Ρ𝑝𝑓(𝑛, 𝑖) = {{1,2,3, … , 𝑛 − 1}, {2,3,4, … , 𝑛}}.

𝑣) If Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 2, 𝑖 − 1) ≠ ∅ and Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1) ≠ ∅, Ρ𝑝𝑓(𝑛 − 4, 𝑖 − 1) = ∅, Then, by lemma 2.5 (𝑣) 𝑖 = 𝑛 − 2. Therefore,

Ρ𝑝𝑓(𝑛, 𝑖) = Ρ𝑝𝑓(𝑛, 𝑛 − 2). Hence the possible perfect dominating set is the removal of two vertices in 𝑛 vertices.Clearly, {2,3,4, … , 𝑛 − 1} and {[𝑛] − {𝑥𝑖, 𝑥𝑖+1}|𝑖 = 2,3, … 𝑛 − 2} are the possible perfect dominating sets with cardinality 𝑖 = 𝑛 − 2.

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3. Perfect Domination Polynomial of a Path

Definition 3.1

Let 𝑃𝑛 be a path with 𝑛 vertices. Let Ρ𝑝𝑓(𝑛, 𝑖) be the family of perfect dominating sets of a path 𝑃𝑛 with cardinality 𝑖 and 𝑑𝑝𝑓(𝑃𝑛, 𝑖) = |Ρ𝑝𝑓(𝑛, 𝑖) |. Then the Perfect dominating polynomial of a path 𝑃𝑛 is given by 𝐷𝑝𝑓(𝑃𝑛, 𝑥) =

𝑛𝑖=⌈𝑛/3⌉𝑑𝑝𝑓(𝑃𝑛, 𝑖)𝑥𝑖 . Theorem 3.2

If Ρ𝑝𝑓(𝑛, 𝑖) be a family of perfect dominating sets with cardinality 𝑖 then, 𝑖) |Ρ𝑝𝑓(𝑛, 𝑖)| = |Ρ𝑝𝑓(𝑛 − 1, 𝑖 − 1)| + |Ρ𝑝𝑓(𝑛 − 3, 𝑖 − 1)|

𝑖𝑖) For every 𝑛 ≥ 4, 𝐷𝑝𝑓(𝑃𝑛, 𝑥) = 𝑥[𝐷𝑝𝑓(𝑃𝑛−1, 𝑥) + 𝐷𝑝𝑓(𝑃𝑛−3, 𝑥)] with initial values 𝐷𝑝𝑓(𝑃1, 𝑥) = 𝑥, 𝐷𝑝𝑓(𝑃2, 𝑥) = 𝑥2+ 2𝑥, 𝐷𝑝𝑓(𝑃3, 𝑥) = 𝑥3+ 2𝑥2+ 𝑥.

Proof

𝑖) It follows from theorem 2.6

𝑖𝑖) It follows from the definition of perfect domination polynomial and part (𝑖) Using the above theorem we obtain 𝑑𝑝𝑓(𝑃𝑛, 𝑖) for 1 ≤ 𝑛 ≤ 15 as shown in the following Table 1

𝑖 𝑛

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

1 1 2 2 1

3 1 2 1

4 0 2 2 1

5 0 2 3 2 1

6 0 1 4 4 2 1

7 0 0 3 6 5 2 1

8 0 0 2 6 8 6 2 1

9 0 0 1 6 10 10 7 2 1

10 0 0 0 4 12 15 12 8 2 1

11 0 0 0 2 10 20 21 14 9 2 1

12 0 0 0 1 8 20 30 28 16 10 2 1 13 0 0 0 0 5 20 35 42 36 18 11 2 1 14 0 0 0 0 2 15 40 56 56 45 20 12 2 1 15 0 0 0 0 1 10 35 70 84 72 55 22 13 2 1

Table 1 Example 3.3

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Consider a path 𝑃6 with 6 vertices. We construct a perfect dominating polynomial D𝑝𝑓(𝑃6, 𝑥) using Theorem 3.1 & Table 1

Then the Perfect dominating polynomial of a path 𝑃6 is given by 𝐷𝑝𝑓(𝑃6, 𝑥) =

𝑛𝑖=⌈𝑛/3⌉𝑑𝑝𝑓(𝑃6, 𝑖)𝑥𝑖 From the Table 1 we have 𝑑𝑝𝑓(𝑃6, 2) = 1, 𝑑𝑝𝑓(𝑃6, 3) = 4, 𝑑𝑝𝑓(𝑃6, 4) = 4, 𝑑𝑝𝑓(𝑃6, 5) = 2, 𝑑𝑝𝑓(𝑃6, 6) = 1. Hence, 𝐷𝑝𝑓(𝑃6, 𝑥) = 𝑥2+ 4𝑥3+ 4𝑥4+ 2𝑥5+ 𝑥6.

Theorem 3.4

The coefficients of 𝐷𝑝𝑓(𝑃𝑛, 𝑥) have the following properties 𝑖) 𝑑𝑝𝑓(𝑃3𝑛, 𝑛) = 1 for every 𝑛 ∈ 𝑁

𝑖𝑖) 𝑑𝑝𝑓(𝑃3𝑛+2, 𝑛 + 1) = 2 for every 𝑛 ∈ 𝑁 𝑖𝑖𝑖) 𝑑𝑝𝑓(𝑃3𝑛+1, 𝑛 + 1) = 𝑛 + 1 for every 𝑛 ∈ 𝑁 𝑖𝑣) 𝑑𝑝𝑓(𝑃3𝑛, 𝑛 + 1) = 2𝑛 for every 𝑛 ∈ 𝑁 𝑣) 𝑑𝑝𝑓(𝑃𝑛, 𝑛) = 1 for every 𝑛 ∈ 𝑁

𝑣𝑖) 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 1) = 2 for every 𝑛 ≥ 2 𝑣𝑖𝑖) 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 2) = 𝑛 − 2 for every 𝑛 ≥ 3 𝑣𝑖𝑖) 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 3) = 2(𝑛 − 4) for every 𝑛 ≥ 5 𝑖𝑥) 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 4) =𝑛2−9𝑛+20

2 for every 𝑛 ≥ 6 Proof

𝑖) For every 𝑛 ∈ 𝑁, we have, Ρ𝑝𝑓(3𝑛, 𝑛) = {{2,5,8, … , 𝑛 − 4, 𝑛 − 1}}. Hence 𝑑𝑝𝑓(𝑃3𝑛, 𝑛) = 1.

𝑖𝑖) By theorem 2.6 (𝑖𝑖𝑖) for every 𝑛 ∈ 𝑁, we have, Ρ𝑝𝑓(3𝑛 + 2, 𝑛 + 1) = {{1,4,7, … ,3𝑛 + 1}, {2,5,8, … ,3𝑛 + 2}}. Hence, 𝑑𝑝𝑓(𝑃3𝑛+2, 𝑛 + 1) = 2.

𝑖𝑖𝑖) We prove this result by induction on 𝑛. When 𝑛 = 1, we have Ρ𝑝𝑓(4,2) = {{1,4}, {2,3}}. So, 𝑑𝑝𝑓(𝑃4, 2) = 2. Therefore, the result is true for 𝑛 = 1.

Now, assume that the result is true for all natural numbers less than 𝑛. For 𝑛, we have by theorem 3.1 (𝑖) and by the induction hypothesis 𝑑𝑝𝑓(𝑃3𝑛+1, 𝑛 + 1) = 𝑑𝑝𝑓(𝑃3𝑛, 𝑛) + 𝑑𝑝𝑓(𝑃3(𝑛−1)+1, 𝑛) = 1 + 𝑛. Hence, by the principle of induction, the result is true for all 𝑛 ∈ 𝑁.

𝑖𝑣) We prove this result by induction on 𝑛. When 𝑛 = 1, we have Ρ𝑝𝑓(3,2) = {{1,2}, {2,3}}. So, 𝑑𝑝𝑓(𝑃4, 2) = 2. Therefore, the result is true for 𝑛 = 1.

Now, assume that the result is true for all natural numbers less than 𝑛. For 𝑛, we have by theorem 3.1 (𝑖) 𝑑𝑝𝑓(𝑃3𝑛, 𝑛 + 1) = 𝑑𝑝𝑓(𝑃3𝑛−1, 𝑛) + 𝑑𝑝𝑓(𝑃3𝑛−3, 𝑛). Then by part (𝑖𝑖) and induction hypothesis 𝑑𝑝𝑓(𝑃3𝑛, 𝑛 + 1) = 𝑑𝑝𝑓(𝑃3(𝑛−1)+2, 𝑛) + 𝑑𝑝𝑓(𝑃3(𝑛−1), 𝑛) = 2 + 2(𝑛 − 1) = 2𝑛. Hence, by the principle of induction, the result is true for all 𝑛 ∈ 𝑁.

𝑣) We have, 𝑃𝑝𝑓(𝑛, 𝑛) = {[𝑛]} therefore, 𝑑𝑝𝑓(𝑃𝑛, 𝑛) = |𝑃𝑝𝑓(𝑛, 𝑛)| = 1.

𝑣𝑖) We prove this result by induction on 𝑛. The result is true for 𝑛 = 2, because, Ρ𝑝𝑓(2,1) = {{1}, {2}}. So, 𝑑𝑝𝑓(𝑃2, 1) = 2.

Now, assume that the result is true for all natural numbers less than 𝑛. For 𝑛, we have by theorem 3.1 (𝑖) 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 1) = 𝑑𝑝𝑓(𝑃𝑛−1, 𝑛 − 2) + 𝑑𝑝𝑓(𝑃𝑛−3, 𝑛 − 2).

Then, by induction hypothesis and by lemma 1.2 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 1) = 2. Hence, by the principle of induction, the result is true for all 𝑛 ∈ 𝑁.

𝑣𝑖𝑖) We prove this result by induction on 𝑛. The result is true for 𝑛 = 3, because, Ρ𝑝𝑓(3,1) = {{2}}. So, 𝑑𝑝𝑓(𝑃3, 1) = 1.

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Now, assume that the result is true for all natural numbers less than 𝑛. For 𝑛, we have by theorem 3.1 (𝑖) 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 2) = 𝑑𝑝𝑓(𝑃𝑛−1, 𝑛 − 3) + 𝑑𝑝𝑓(𝑃𝑛−3, 𝑛 − 3).

Then, by induction hypothesis and by part (𝑣), 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 2) = 𝑛 − 2. Hence, by the principle of induction, the result is true for all 𝑛 ∈ 𝑁.

𝑣𝑖𝑖𝑖) We prove this result by induction on 𝑛. The result is true for 𝑛 = 5, because, Ρ𝑝𝑓(5,2) = {{1,4}, {2,5}}. So, 𝑑𝑝𝑓(𝑃5, 2) = 2.

Now, assume that the result is true for all natural numbers less than 𝑛. For 𝑛, we have by theorem 3.1 (𝑖) 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 3) = 𝑑𝑝𝑓(𝑃𝑛−1, 𝑛 − 4) + 𝑑𝑝𝑓(𝑃𝑛−3, 𝑛 − 4).

Then, by induction hypothesis and by part (𝑣𝑖) 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 3) = 2(𝑛 − 5) + 2 = 2(𝑛 − 4). Hence, by the principle of induction, the result is true for all 𝑛 ∈ 𝑁.

𝑖𝑥) We prove this result by induction on 𝑛. The result is true for 𝑛 = 6, because, Ρ𝑝𝑓(6,2) = {{2,5}}. So, 𝑑𝑝𝑓(𝑃6, 2) = 1. Therefore, the result is true for 𝑛 = 6.

Now, assume that the result is true for all natural numbers less than 𝑛. For 𝑛, we have by theorem 3.1 (𝑖) 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 4) = 𝑑𝑝𝑓(𝑃𝑛−1, 𝑛 − 5) + 𝑑𝑝𝑓(𝑃𝑛−3, 𝑛 − 5).

Then, by induction hypothesis and by part (𝑣𝑖𝑖) 𝑑𝑝𝑓(𝑃𝑛, 𝑛 − 4) =

(𝑛−1)2−9(𝑛−1)+20

2 +2(𝑛−5)

2 =𝑛2−9𝑛+20

2 . Hence, by the principle of induction, the result is true for all 𝑛 ∈ 𝑁.

Theorem 3.5

For every 𝑛 ∈ 𝑁 and ⌈𝑛

3⌉ ≤ 𝑖 ≤ 𝑛. |𝑃𝑝𝑓(𝑛, 𝑖)| is the coefficient of 𝑢𝑛𝑣𝑖 in the expansion of the function 𝑓(𝑢, 𝑣) = 𝑢3𝑣(1+2𝑣+𝑣2+𝑢𝑣+2𝑢2𝑣+𝑢2𝑣2)

(1−𝑢𝑣−𝑢3𝑣)

Proof

First we set 𝑓(𝑢, 𝑣) = ∑𝑛=3𝑖=1|𝑃𝑝𝑓(𝑛, 𝑖)|𝑢𝑛𝑣𝑖. By using the recursive formula for |𝑃𝑝𝑓(𝑛, 𝑖)| we can write 𝑓(𝑢, 𝑣) as follows:

𝑓(𝑢, 𝑣) = ∑ ∑(|𝑃𝑝𝑓(𝑛 − 1, 𝑖 − 1)| + |𝑃𝑝𝑓(𝑛 − 3, 𝑖 − 1)|)𝑢𝑛𝑣𝑖

𝑖=1

𝑛=3

= 𝑢𝑣 ∑𝑛=3𝑖=1|𝑃𝑝𝑓(𝑛 − 1, 𝑖 − 1)|𝑢𝑛−1𝑣𝑖−1+ 𝑢3𝑣 ∑𝑛=3𝑖=1|𝑃𝑝𝑓(𝑛 − 3, 𝑖 − 1)|𝑢𝑛−3𝑣𝑖−1

= 𝑢𝑣(|𝑃𝑝𝑓(2,0)|𝑢2+ |𝑃𝑝𝑓(2,1)|𝑢2𝑣 + |𝑃𝑝𝑓(2,2)|𝑢2𝑣2) + 𝑢𝑣𝑓(𝑢, 𝑣) + 𝑢3𝑣(|𝑃𝑝𝑓(0,0)| + |𝑃𝑝𝑓(1,0)|𝑢 + |𝑃𝑝𝑓(1,1)|𝑢𝑣 + |𝑃𝑝𝑓(2,0)|𝑢2+

|𝑃𝑝𝑓(2,1)|𝑢2𝑣 + |𝑃𝑝𝑓(2,2)|𝑢2𝑣2) + 𝑢3𝑣𝑓(𝑢, 𝑣).

Substituting the values from Table 1 also for |𝑃𝑝𝑓(𝑛, 0)| = 0 for all 𝑛 ∈ 𝑁 and

|𝑃𝑝𝑓(0,0)| = 1 we have,

𝑓(𝑢, 𝑣) = 𝑢𝑣(2𝑢2𝑣 + 𝑢2𝑣2) + 𝑢𝑣𝑓(𝑢, 𝑣) + 𝑢3𝑣(1 + 𝑢𝑣 + 2𝑢2𝑣 + 𝑢2𝑣2) + 𝑢3𝑣𝑓(𝑢, 𝑣)

𝑓(𝑢, 𝑣) = 𝑢3𝑣(1 + 2𝑣 + 𝑣2 + 𝑢𝑣 + 2𝑢2𝑣 + 𝑢2𝑣2) + 𝑢𝑣𝑓(𝑢, 𝑣) + 𝑢3𝑣𝑓(𝑢, 𝑣) 𝑓(𝑢, 𝑣)(1 − 𝑢𝑣 − 𝑢3𝑣) = 𝑢3𝑣(1 + 2𝑣 + 𝑣2 + 𝑢𝑣 + 2𝑢2𝑣 + 𝑢2𝑣2)

Hence, 𝑓(𝑢, 𝑣) =𝑢3𝑣(1+2𝑣+𝑣2+𝑢𝑣+2𝑢2𝑣+𝑢2𝑣2)

(1−𝑢𝑣−𝑢3𝑣)

References

[1] A. Vijayan and T. Nagarajan. Vertex-Edge Dominating sets and Vertex-Edge Domination Polynomials of cycles. International Journal of Mathematics and Computer

(9)

1236

ISSN: 2005-4238 IJAST Copyright ⓒ 2019 SERSC

Research volume 2, issue 8 August 2014, 547-564

[2] A. Vijayan and T. Nagarajan. Vertex-Edge Dominating sets and Vertex-Edge Domination Polynomials of paths. International Journal of Mathematics Trends and Technology volume 4, Dec (2013), 266-279

[3] Bondy J.A, Murthy. U.S.R., Graph theory with applications, Elsevier Science Publishing Co, sixth printing, 1984

[4] Gray Chartand, Ping Zhang, 2005, Introduction to graph theory, Mc Graw Hill, Higher Education

[5] S. Alikhani and Y.H. Peng, Domination sets and Domination polynomials of cycles, Global Journal of pure and Applied Mathematics vol.4 No.2 (2008)

[6] S.Alikhani and Y.H.Peng, Domination sets and Domination polynomial of Paths, International Journal of Mathematics and Mathematical Sciences Vol.2009

[7] S. Alikhani and Y.H. Peng, Introduction to Domination polynomial of a graph, arXiv:

0905.225 [v] [math.co] 14 may (2009)

[8] T.W.Haynes, S.T.Hedetniemi, and P.J.Slater, Fundamentals of Domination in Graphs, Marcel Dekker, Newyork(1998)

References

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