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國立臺灣大學 數學系 預印本 Department of Mathematics, National Taiwan University

www.math.ntu.edu.tw/ ~ mathlib/preprint/2014- 02.pdf

Perfection for strong edge-coloring on graphs

Sheng-Hua Chen and Gerard Jennhwa Chang

March 20, 2014

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Perfection for strong edge-coloring on graphs

Sheng-Hua Chen

1

and Gerard Jennhwa Chang

12

1Department of Mathematics, National Taiwan University, Taipei 10617, Taiwan

2National Center for Theoretical Sciences, Taipei Office, Taipei 10617, Taiwan

March 20, 2014

Abstract

A strong edge-coloring of a graph is a function that assigns to each edge a color such that every two distinct edges that are adjacent or adjacent to a same edge receive different colors. The strong chromatic index χs(G) of a graph G is the minimum number of colors used in a strong edge-coloring of G. From a primal-dual point of view, there are three natural lower bounds of χs(G), that is σ(G) ≤ σ(G) ≤ am(G) ≤ χs(G). For any t ∈ {σ, σ, am}, a graph G is vertex t-perfect (respectively, edge t-perfect) if t(H) = χs(H) for any induced (respectively, edge-induced) subgraph H of G. The aim of this paper is to study the above versions of perfection on strong edge-coloring.

1 Introduction

The purpose of this paper is to study perfection on strong edge-coloring. A strong edge-coloring of a graph is a function that assigns to each edge a color such that every two distinct edges that are adjacent or adjacent to a same edge receive different colors.

The strong chromatic index χs(G) of a graph G is the minimum number of colors used

Supported in part by the National Science Council under grant NSC98-2115-M-002-013-MY3.

E-mail: b91201040@ntu.edu.tw.

E-mail: gjchang@math.ntu.edu.tw.

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in a strong edge-coloring. An induced matching of a graph is a set of edges in which every two distinct edges are not adjacent and not adjacent to a same edge. Notice that a color class of a strong edge-coloring is an induced matching.

From a primal-dual point of view, there are three natural lower bounds on the strong chromatic index. An anti-matching is a set of edges in which every two distinct edges are adjacent or are adjacent to a same edges. The anti-matching number am(G) of a graph G is the maximum size of an anti-matching. The closed edge-neighborhood of a clique C is the set Ne[C] = {e ∈ E : e is incident to some vertex in C}. The closed edge-neighborhood of an edge xy is the set Ne[xy] = {e ∈ E : e is incident to x or y}. Denote by σ(G) (respectively, σ(G)) the maximum size of a closed edge-neighborhood of a clique (respectively, an edge). In other words, for a graph G = (V, E),

σ(G) := max

C:clique|Ne[C]| = max

C:clique

(∑

x∈C

dG(x)−(|C|

2

)) and

σ(G) := max

xy∈E|Ne[xy]| = max

xy∈E(dG(x) + dG(y)− 1).

Since an edge is a clique, a closed edge-neighborhood of a clique is an anti- matching and an anti-matching has at most one edge in common with an induced matching, we have the following weak duality inequalities that for any graph G,

σ(G)≤ σ(G)≤ am(G) ≤ χs(G). (1) Faudree, Gy´arf´as, Schelp and Tuza [12] showed that σ(Qd) = σ(Qd) = 2d− 1 <

2d = am(Qd) = χs(Qd), where Qd is the d-dimensional cube whose vertices are the d-tuples of {0, 1} entries and whose edges are the pairs of d-tuples with exactly one different position. For any t∈ {σ, σ, am}, a graph G is vertex t-perfect (respectively, edge t-perfect) if t(H) = χs(H) for any induced (respectively, edge-induced) subgraph H of G.

Strong edge-coloring was first studied by Fouquet and Jolivet [13, 14] for cubic planar graphs. By a greedy algorithm, it is easy to see that χs(G)≤ 2∆2−2∆+1 for any graph G of maximum degree ∆. Fouquet and Jolivet [13] established a Brooks type upper bound χs(G) ≤ 2∆2− 2∆, which is not true only for G = C5 as pointed out by Shiu and Tam [28]. Conjecture 1 below was posed by Erd˝os and Neˇsetˇril [10, 11] and revised by Faudree, Gy´arf´as, Schelp and Tuza [12] who also gave a weaker conjecture.

Conjecture 1. ([10, 11, 12]) If G is a graph of maximum degree ∆, then χs(G)≤

2+22.

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Conjecture 2. ([12]) If G is a graph of maximum degree ∆, then am(G) ≤ ∆2+

22.

For graphs with maximum degree ∆ = 3, Conjecture 1 was verified by Andersen [1] and by Hor´ak, Qing and Trotter [17] independently. For ∆ = 4, while Conjecture 1 says that χs(G) ≤ 20, Hor´ak [16] obtained χs(G) ≤ 23 and Cranston [9] proved χs(G) ≤ 22. Faudree, Gy´arf´as, Schelp and Tuza [12] proved that there exists a constant ϵ > 0 such that am(G) ≤ (2 − ϵ)∆2 for any graph G of maximum degree

∆. Molloy and Reed [24] proved that for large ∆, every graph of maximum degree

∆ has χs(G) ≤ 1.998∆2 using a probabilistic method. Mahdian [21] proved that χs(G) ≤ (2 + o(1))∆2/ ln ∆ for a C4-free graph G. Faudree, Gy´arf´as, Schelp and Tuza [12] proved that χs(G)≤ ∆2 for graphs in which all cycle lengths are multiples of four. They mentioned that this result probably could be improved to a linear function of the maximum degree. Brualdi and Massey [2] improved the upper bound to χs(G) ≤ αβ for such graphs, where α and β are the maximum degrees of the respective partitions. Nakprasit [25] proved that if G is bipartite and the maximum degree of one partite set is at most 2, then χs(G)≤ 2∆. Chang and Narayanan [8]

proved that χs(G)≤ 8∆−6 for chordless graphs G. This settles the above question by Faudree, Gy´arf´as, Schelp and Tuza [12] in the positive, since graphs with cycle lengths divisible by 4 are chordless graphs. They [8] also established that χs(G) ≤ 10∆ − 10 for 2-degenerate graphs G.

Strong edge-coloring on planar graphs also extensively studied in the literature.

Faudree, Schelp, Gy´arf´as and Tuza [12] asked whether χs(G)≤ 9 if G is cubic planar.

If this upper bound is proved to be true, it would be the best possible. Faudree, Gy´arf´as, Schelp and Tuza [12] showed that χs(G) ≤ 4∆(G)+4 for any planar graph G of maximum degree ∆ by the four-color theorem. They also exhibited a planar graph G whose strong chromatic index is 4∆(G)− 4. Their proof also gives a consequence that χs(G)≤ 3∆ for planar graphs G of girth at least 7. Chang, Montassier, Pecher and Raspaud [7] further proved that χs(G)≤ 2∆ − 1 for planar graphs G with large girth. Strong chromatic index for Halin graphs was first considered by Shiu, Lam and Tam [27] and then studied in [6, 18, 20, 28]. For other results on strong edge-coloring, see [3, 15, 22, 23, 26, 30].

The aim of this paper is to study the above mentioned perfection on strong edge- coloring. Notice that edge t-perfection implies vertex t-perfection for t∈ {σ, σ, am}.

Also, σ-perfection implies σ-perfection, which in turn implies am-perfection. See the

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following flowchart for a summary.

edge σ-perfect ⇒ edge σ-perfect ⇒ edge am-perfect

vertex σ-perfect ⇒ vertex σ-perfect ⇒ vertex am-perfect

2 Preliminary

For an integer n ≥ 3, the n-cycle is the graph Cn with vertex set V (Cn) = {v1, v2, . . . , vn} and edge set E(Cn) = {vivi+1: 1 ≤ i ≤ n}, where vn+1 = v1. Graph C(n, d) is the graph obtained from Cn by adding d new vertices adjacent to each vertex of Cn. A block graph is a graph whose blocks are complete graphs. A cactus is a graph whose blocks are cycles or complete graphs of two vertices. Notice that cacti are planar graphs and include trees. Also, graph C(n, d) is a cactus.

Lemma 3. ([5]) If H is a subgraph of G, then χs(H)≤ χs(G).

Lemma 4. ([5]) If integer n ≥ 3, then χs(Cn) = 5 for n = 5, χs(Cn) = 3 for n a multiple of 3 and χs(Cn) = 4 otherwise.

Lemma 5. ([5]) If G = C(n, d) with n≥ 3 and d ≥ 1, then

χs(G) =





σ(G) + 1, if n = 4 or (n, d) = (7, 1);

σ(G), if n≥ 6 is even;

2n(d+1)n−1 ⌉, if n ≥ 3 is odd but (n, d) ̸= (7, 1).

Liao [19] established the following result for cacti.

Theorem 6. ([19]) If G is a cactus in which the length of a cycle is a multiple of 6, then χs(G) = σ(G).

Corollary 7. ([12]) If T is a tree, then χs(T ) = σ(T ).

Corollary 8. If G is a cactus in which the length of a cycle is a multiple of 6, then G is edge t-perfect and vertex t-perfect for t∈ {σ, σ, am}.

A graph G is chordal if it has no induced cycle of length at least four in G.

Cameron [3] proved that χs(G) = σ(G) for any chordal graph G. We now give an algorithm for strong edge-coloring on chordal graphs, which provides an alternative

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proof of the same result. It is well-known that a chordal graph G = (V, E) has a perfect elimination scheme, which is an ordering v1, v2, . . . , vn of V such that

i < j < k, vivj ∈ E and vivk ∈ E imply vjvk ∈ E. (PEO) In other words, the set Ci = {vi} ∪ {vj: i < j, vivj ∈ E} is a clique for 1 ≤ i ≤ n.

The algorithm for strong edge-coloring on chordal graphs is a greedy one as follows.

1. initially all edges are un-colored;

2. for j = n to 1 step by−1

3. for (any un-colored edge vivj incident to vj) do

4. color vivj by the least positive integer not used by an edge vpvq such that{vpvq, vivj} is an anti-matching;

5. end for 6. end for

Suppose s colors are used, and edge vivj is colored by s at iteration j. By the back do loop, i < j. First, by the coloring method, the edge-coloring is strong and so χs(G)≤ s. For any 1 ≤ r < s, there is an edge vpvq with p < q that was colored by r before vivj being colored such that {vpvq, vivj} is an anti-matching. Then i < j ≤ q by the back do loop. We consider 4 cases.

Case 1. j = q or j < q with vjvq ∈ E. In this case, vq ∈ Cj and so vpvq ∈ Ne[Cj].

Case 2. j > p with vjvp ∈ E or j = p or j < p with vjvp ∈ E. For the first subcase, by (PEO), we are back to Case 1. For the other two subcases, vp ∈ Cj and so vpvq ∈ Ne[Cj].

Case 3. i < q with vivq ∈ E. In this case, by (PEO), we are back to Case 1.

Case 4. i > p with vivp ∈ E or i = p or i < p with vivp ∈ E. For the first two subcases, by (PEO), we are back to Case 3. For the last subcase, by (PEO), we are back to Case 2.

So, in any case, Ne[Cj] contains one edge colored by r for 1 ≤ r ≤ s. Hence, s ≤ |Ne[Cj]| ≤ σ(G) ≤ χs(G) ≤ s, giving that σ(G) = χs(G) = s. This not only gives an optimal strong edge-coloring of G but also gives a proof for Theorem 9.

Theorem 9. ([3]) If G is chordal, then χs(G) = σ(G).

Corollary 10. Chordal graphs are vertex σ-perfect and vertex am-perfect.

Lemma 11. If G has no clique of size 3 in which each vertex is of degree at least 3, then σ(G) = σ(G).

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Proof. Suppose to the contrary that max

xy∈E|Ne[xy]| = σ(G) < σ(G) = max

C:clique|Ne[C]|.

Then the clique C attaining the maximum of the last equality has at least 3 vertices.

By the assumption, all except 2 vertices x and y of C are of degree 2. Hence

|Ne[xy]| = Ne[C]|, which is impossible. This completes the proof of the lemma.

Corollary 12. Chordal graphs without any clique of size 3 in which each vertex is of degree at least 3 are vertex t-perfect for t∈ {σ, σ, am}.

A graph G is weakly chordal if neither the graph nor its complement contains an induced cycle of length at least five in G.

Theorem 13. ([4]) If G is weakly chordal, then χs(G) = am(G).

Corollary 14. Weakly chordal graphs are vertex am-perfect.

3 Graphs with cycle lengths of multiple 3

By definition and Lemma 4, the length of a cycle in a vertex σ-perfect graph is a multiple of 3. However, the converse is not necessarily true. Notice that by Lemma 5, if n is odd with n < 2d + 3 then χs(C(n, d)) > σ(C(n, d)). On the other hand, χs(C(n, d)) = σ(C(n, d)) if n≥ 6 is even and d ≥ 1.

By Corollary 8, a cactus in which the length of a cycle is a multiple of 6 is vertex σ-perfect. However, the condition that a graph with all cycles are of length multiple of 6 is not necessary gives that χs(G) = σ(G) as shown in the following example.

The graph G in Figure 1 has 15 edges and σ(G) = 5. Suppose χs(G) = 5. Since an induced matching in G has at most 3 edges, each color class has exactly 3 edges.

However each color class containing an edge incident to x must contain two pendent edges whose distance is three from x, a contradiction.

u u

x @

@@@

u uu u@u@@@u u

u u

u u u

Figure 1: χs(G) > σ(G).

In the following we prove that χs(G) = σ(G) for any 2-connected graph G in which every cycle has a length a multiple of 3. To establish this result, we need a

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useful lemma as follows. In fact, we suspect that these kind of graphs are vertex σ-perfect, although a proof is still not available.

Lemma 15. Suppose H = (X, Y, E) is a bipartite graph in which any vertex in Y is of degree at most two. Suppose every vertex x∈ X has a list L(x) of size d(x) such that H has no special component that is a path x0, y1, x1, y2, x2, . . . , yr, xr such that L(x0) = L(xr)⊆ L(xi) for 0 ≤ i ≤ r. Then H has a proper edge-coloring f such that f (xy)∈ L(x) for any edge xy with x ∈ X.

Proof. We shall prove the lemma by induction on the number of edges. The case of

|E| = 1 is clear. Suppose |E| ≥ 2.

Case 1. H has a vertex y ∈ Y of degree 1, say y is adjacent to x ∈ X.

If L(x) ={c}, then we may color xy by c and reduce the graph to one with fewer edges that also has no special component. If|L(x)| ≥ 2, then we may properly choose a color from L(x) to color xy and reduce the graph to one with few edges that also has no special component.

Case 2. All vertices in Y are of degree 2.

If there is a vertex x ∈ X of degree 1 with L(x) = {c}, say x is adjacent to y ∈ Y whose another neighbor in X is x. For the case when x is of degree 1 with L(x) = {c}, as H has no special component c ̸= c. Then we may color xy by c and xy by c to reduce the graph to one with fewer edges that also has no special component. For the case when x is of degree at least two, we may color xy by c and properly choose a color c ∈ L(x)− L(x) to color xy. This reduces the graph to one with fewer edges that also has no special component, unless there is a special component in the reduced graph H with x as an end vertex and L(x) = {c} which extend to a special component in the original graph H by adding y and x.

Now suppose all vertices in X are of degree at least 2. If there is a vertex x∈ X of degree at least 3, then choose a neighbor y of x and the other neighbor x of y. Choose a color c in L(x) to color xy and a color in L(x)− {c} to color xy. This reduces the graph to one with few edges that also has no special component, as there is at most one vertex of degree one. If all vertices of X are of degree two, then choose a cycle in the graph. The graph is of even length. For the case when L(x) ={a, b} for all vertices x∈ X in the cycle, it is easy to color the edges in this cycle to reduce the graph to one with few edges that also has no special component. For the case when the cycle has a vertex y ∈ Y whose neighbor x and x have L(x) ̸= L(x), we may properly choose

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c∈ L(x) and c ∈ L(x) such that c ̸= c and L(x)− {c} ̸= L(x)− {c}. Coloring xy by c and xy with c reduces the graph to one with few edges that also has no special component, as only two vertices x and x are of degree one but L(x)̸= L(x).

Theorem 16. If G is a 2-connected graph in which the length of every cycle is a multiple of 3, then χs(G) = σ(G).

Proof. Suppose to the contrary that the theorem is not true. Choose a minimum counterexample G that is a 2-connected graph in which the length of every cycle is a multiple of 3 but χs(G) > σ(G). By Lemma 4, G is not a cycle. So the set M (G) (or M if there is no ambiguity) of vertices of degree at least 3 in G is not empty.

An M -path is a path v0, v1, . . . , vkwith v0, vk ∈ M but all other vertices are not in M . For any subset S ⊆ M, the graph GS is the subgraph of G induced by all vertices of G in all M -paths whose end vertices are in S. An M -3-block is a nontrivial maximal subgraph GS for a subset S ⊆ M in which any M-path is of length 3ℓ for some ℓ.

For the graph in Figure 2, M ={1, 2, 3, 4, 5, 6} and there are three M-3-blocks each is a 6-cycle.

u

2

u u

4

u

6

1u 3u u 5u

AA

B1

u u

u u AA

AA

B2

u u

u u AA

AA

B3

u u

u u AA

Figure 2: A graph with three M -3-blocks B1, B2 and B3.

Claim 1. There is an M -path of length a multiple of 3, and so G has at least one M -3-block.

Proof. Recall that an ear of a graph H is a path in H that is contained in a cycle and is maximal with respect to the property that internal vertices having degree two in H. Since G is 2-connected, it is well known [29] that G has an ear decomposition P0, P1, . . . , Pr, which is a decomposition of edges of G such that P0 is a cycle and Pi is an ear of P0∪ P1∪ . . . ∪ Pi for all i ≥ 1. Notice that r ≥ 1 and Pr is an M -path from x to y. Since G = P0∪ P1 ∪ . . . ∪ Pr−1 is 2-connected, there are two internally disjoint paths Q1 and Q2 from x to y in G. Any two paths of Q1, Q2 and Pr form a cycle of length a multiple of 3. Hence these paths are all of length multiple of 3.

Therefore, G has at least one M -3-block containing the M -path Pr. 2

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Now suppose G has k M -3-blocks GS1, GS2, . . . , GSk for some k ≥ 1. The s- subdivision S(H, s) of a multi-graph H is the graph obtained from H by replacing each edge by a path of length s. Notice that an M -3-block GS is the 3-subdivision of a multi-graph whose vertices are those vertices having distance a multiple of 3 from vertices of S in GS.

Claim 2. G̸= GS1.

Proof. Suppose to the contrary that G = GS1. Then G = S(I, 3) for some multi- graph I. Notice that G and H = S(I, 2) have the same maximum degree ∆ = ∆(I) and σ(G) = ∆ + 1. Also, H is a bipartite graph with one partite set X = V (I) and the other partite set Y = V (H)− X in which each vertex is of degree 2. Consider the list L(x) = {1, 2, . . . , dH(x)} for all x ∈ X, where dG(x) = dH(x). Since G is 2- connected, H has no special component. By Lemma 15, H has a proper edge-coloring f using colors in {1, 2, . . . , ∆}. We may consider G = S(I, 3) as a graph obtained from H = S(I, 2) by inserting an edge between two edges incident to a vertex of degree two in H. Then we may extend the edge-coloring f of H to a strong edge- coloring g of G by coloring all such newly inserted edges by ∆ + 1. This gives that χs(G)≤ ∆ + 1 = σ(G). Hence χs(G) = σ(G), a contradiction to the assumption that χs(G) > σ(G). 2

Let G be the graph obtained from G by contracting each M -3-block GSi to a vertex vi for 1 ≤ i ≤ k. That is, the vertices in Si are replaced by a vertex vi, and any edge between x∈ Si and y ∈ Sj (respectively, y not in any Sj) is replaced by an edge vivj (respectively, viy).

Claim 3. G has no loop and no parallel edges.

proof. Suppose to the contrary that G has a loop e at some vi. That is, e has two end vertices x, y ∈ Si in G, and there is a path P of length 3ℓ between them.

Consequently, P together with e form a cycle of length 3ℓ+1 in G, which is impossible.

Suppose to the contrary that G has two parallel edges e1 and e2. Then each er

is between some vi and some vj (respectively, some y not in any Sj). In G, each er

has one end vertex xr ∈ Si, and the other vertex yr ∈ Sj (respectively, yr = y). In G, there is a path Pi of length 3ℓi from x1 to x2, and a path Pj of length 3ℓj from y2 to y1. Consequently, Pi, e2, Pj, e1 form a cycle of length 3ℓ1+ 3ℓ2 + 2 in G, which is impossible. 2

By Claims 2 and 3, G is a simple graph with at least two vertices. In fact, G

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is 2-edge-connected and every cycle in G has a length a multiple of 3. It is then the case that any block B with at most one cut-vertex in G has a vertex vi of degree 2 corresponding to GSi, otherwise by Claim 1 there is an M (B)-path of length a multiple of 3, which can be combined into a bigger M -3-block in G, a contradiction to the maximality of an M -3-block. Now there are two vertices u, v in Si adjacent to u, v not in GSi respectively.

Let G be the graph obtained from G by contracting only the M -3-block GSi into a vertex vi. As vi is of degree 2 in G, we have σ(G)≤ σ(G) and G is a 2-connected simple graph in which the length of every cycle is a multiple of 3. By the minimality of G, the graph G has a strong σ(G)-edge-coloring f. Without loss of generality, we may assume that f(uu)̸= σ(G) and f(vv)̸= σ(G), as σ(G) ≥ 3.

Similar to the proof of Claim 2, GSi = S(I, 3) for some multi-graph I. Notice that GSi and H = S(I, 2) have the same maximum degree ∆ and also σ(G) σ(GSi) = ∆ + 1≥ 3. Also, H is a bipartite graph with one partite set X = V (I) and the other partite set Y = V (H)− X in which each vertex is of degree 2. Consider the list L(u) ⊆ {1, 2, . . . , σ(G) − 1} − {f(xz) : z ∈ N(x)} with |L(u)| = dH(u), L(v)⊆ {1, 2, . . . , σ(G) − 1} − {f(yw) : w∈ N(y)} with |L(v)| = dH(v), and L(x) = {1, 2, . . . , dH(x)} for all other x ∈ X. By Lemma 15, H has a proper edge-coloring g using colors in {1, 2, . . . , σ(G) − 1}. We may consider GSi = S(I, 3) as a graph obtained from H = S(I, 2) by inserting an edge between two edges incident to a vertex of degree two in H. Then we may extend the edge-coloring g of H to a strong edge-coloring g of GSi by coloring all such newly inserted edges by σ(G).

This together with f give a strong σ(G)-edge-coloring. Hence, χs(G)≤ σ(G) and so χs(G) = σ(G), a contradiction to the assumption that χs(G) > σ(G).

Notice that the condition 2-connectedness is essential in the theorem above. We even can not replace it by 2-edge-connected, as shown in the following example. Let G is the graph obtained from C(3, 2) by joining each pair of degree-one vertices adjacent to each vertex in the center C3. It is easy to see that σ(G) = 7 < 9 = σ(G) = am(G) = χs(G).

We close this paper by a conjecture that 2-connected graphs in which the length of every cycle is a multiple of 3 are vertex σ-perfect.

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