Approximating the maximum 3- and 4-edge-colorable subgraph nski 1 - - PowerPoint PPT Presentation

approximating the maximum 3 and 4 edge colorable subgraph
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Approximating the maximum 3- and 4-edge-colorable subgraph nski 1 - - PowerPoint PPT Presentation

Approximating the maximum 3- and 4-edge-colorable subgraph nski 1 and Lukasz Kowalik (speaker) 2 Marcin Kami 1 D epartement dInformatique, Universit e Libre de Bruxelles 2 Institute of Informatics, University of Warsaw Bergen,


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SLIDE 1

Approximating the maximum 3- and 4-edge-colorable subgraph

Marcin Kami´ nski1 and Lukasz Kowalik (speaker)2

1 D´

epartement d’Informatique, Universit´ e Libre de Bruxelles

2 Institute of Informatics, University of Warsaw

Bergen, 23.06.2010

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 1 / 24

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SLIDE 2

(Regular) Edge-Coloring

Assign colors to edges so that incident edges get distinct colors. What is known? (∆ = maxv∈V (G) deg(v)) ∆ colors needed (trivial) For simple graphs, ∆ + 1 colors suffice (Vizing) For simple graphs, deciding “∆/(∆ + 1)” is NP-hard even for ∆ = 3.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 2 / 24

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SLIDE 3

Maximum k-Edge-Colorable Subgraph (k-ECS)

Problem: Given graph G find a k-edge-colorable subgraph H ⊆ G so as to maximize |E(H)|. OPT will denote the optimal H or the optimal |E(H)|.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 3 / 24

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SLIDE 4

Maximum k-Edge-Colorable Subgraph (k-ECS)

Problem: Given graph G find a k-edge-colorable subgraph H ⊆ G so as to maximize |E(H)|. OPT will denote the optimal H or the optimal |E(H)|.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 3 / 24

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SLIDE 5

Maximum k-Edge-Colorable Subgraph (k-ECS)

Problem: Given graph G find a k-edge-colorable subgraph H ⊆ G so as to maximize |E(H)|. OPT will denote the optimal H or the optimal |E(H)|. k = 1: a maximum matching. Here: OPT = 5.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 3 / 24

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SLIDE 6

Maximum k-Edge-Colorable Subgraph (k-ECS)

Problem: Given graph G find a k-edge-colorable subgraph H ⊆ G so as to maximize |E(H)|. OPT will denote the optimal H or the optimal |E(H)|. k = 1: a maximum matching. Here: OPT = 5. k = 2: paths and even cycles. Here: OPT = 9.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 3 / 24

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SLIDE 7

Maximum k-Edge-Colorable Subgraph (k-ECS)

Problem: Given graph G find a k-edge-colorable subgraph H ⊆ G so as to maximize |E(H)|. OPT will denote the optimal H or the optimal |E(H)|. k = 1: a maximum matching. Here: OPT = 5. k = 2: paths and even cycles. Here: OPT = 9.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 3 / 24

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SLIDE 8

Maximum k-Edge-Colorable Subgraph (k-ECS)

Problem: Given graph G find a k-edge-colorable subgraph H ⊆ G so as to maximize |E(H)|. OPT will denote the optimal H or the optimal |E(H)|. k = 1: a maximum matching. Here: OPT = 5. k = 2: paths and even cycles. Here: OPT = 9. k = 3: no special structure. Here: OPT = 13.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 3 / 24

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SLIDE 9

Maximum k-ECS: Complexity

Poly-time for k = 1, NP-hard for k ≥ 2 [Holyer 1981, Feige, Ofek, Wieder 2002] In this talk we are interested in polynomial-time approximation algorithms.

α-approximation

Algorithm A is a α-approximation algorithm for the Maximum k-ECS Problem when for any input graph G it always returns a k-edge-colorable subgraph of G with ≥ α · OPT edges, where OPT = sk(G).

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 4 / 24

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SLIDE 10

Maximum k-ECS: Hardness of Approximation

The problem is APX-hard for k ≥ 2 [Feige et al. 2002] i.e. no (1 + ε)-approximation for some ε > 0 unless P = NP.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 5 / 24

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SLIDE 11

A simple approach [Feige et al. 2002]

A k-matching in G is a subgraph F ⊆ G such that for any v ∈ V (F) we have degF(v) ≤ k.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 6 / 24

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SLIDE 12

A simple approach [Feige et al. 2002]

A k-matching in G is a subgraph F ⊆ G such that for any v ∈ V (F) we have degF(v) ≤ k.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 6 / 24

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SLIDE 13

A simple approach [Feige et al. 2002]

A k-matching in G is a subgraph F ⊆ G such that for any v ∈ V (F) we have degF(v) ≤ k.

1 Find a maximum k-matching F in G (note that |F| ≥ OPT),

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 6 / 24

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SLIDE 14

A simple approach [Feige et al. 2002]

A k-matching in G is a subgraph F ⊆ G such that for any v ∈ V (F) we have degF(v) ≤ k.

1 Find a maximum k-matching F in G (note that |F| ≥ OPT), 2 find an edge-coloring of F with small number of colors,

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 6 / 24

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SLIDE 15

A simple approach [Feige et al. 2002]

A k-matching in G is a subgraph F ⊆ G such that for any v ∈ V (F) we have degF(v) ≤ k.

1 Find a maximum k-matching F in G (note that |F| ≥ OPT), 2 find an edge-coloring of F with small number of colors, 3 return the union U of k largest color classes.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 6 / 24

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SLIDE 16

A simple approach [Feige et al. 2002]

A k-matching in G is a subgraph F ⊆ G such that for any v ∈ V (F) we have degF(v) ≤ k.

1 Find a maximum k-matching F in G (note that |F| ≥ OPT), 2 find an edge-coloring of F with small number of colors, 3 return the union U of k largest color classes.

Result: approximation ratio of |U|/OPT ≥ |U|/|F|.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 6 / 24

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SLIDE 17

The simple approach for simple graphs [Feige et al. 2002]

A k-matching in G is a subgraph F ⊆ G such that for any v ∈ V (F) we have degF(v) ≤ k.

1 Find a maximum k-matching F in G (note that |F| ≥ OPT),

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 7 / 24

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SLIDE 18

The simple approach for simple graphs [Feige et al. 2002]

A k-matching in G is a subgraph F ⊆ G such that for any v ∈ V (F) we have degF(v) ≤ k.

1 Find a maximum k-matching F in G (note that |F| ≥ OPT), 2 find a (k + 1)-coloring of F using Vizing’s Theorem,

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 7 / 24

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SLIDE 19

The simple approach for simple graphs [Feige et al. 2002]

A k-matching in G is a subgraph F ⊆ G such that for any v ∈ V (F) we have degF(v) ≤ k.

1 Find a maximum k-matching F in G (note that |F| ≥ OPT), 2 find a (k + 1)-coloring of F using Vizing’s Theorem, 3 return the union U of k largest color classes (note |U| ≥

k k+1|F|).

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 7 / 24

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SLIDE 20

The simple approach for simple graphs [Feige et al. 2002]

A k-matching in G is a subgraph F ⊆ G such that for any v ∈ V (F) we have degF(v) ≤ k.

1 Find a maximum k-matching F in G (note that |F| ≥ OPT), 2 find a (k + 1)-coloring of F using Vizing’s Theorem, 3 return the union U of k largest color classes (note |U| ≥

k k+1|F|).

Result: approximation ratio of |U|/|F| ≥ (

k k+1|F|)/F = k k+1.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 7 / 24

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SLIDE 21

Maximum k-ECS: Previous results

for simple graphs:

5 6-approximation for 2-ECS [Kosowski 2009], 6 7-approximation for 3-ECS [Rizzi 2009], k k+1-approximation for k-ECS [Feige et al + Vizing]

Note that limk→∞

k k+1 = 1.

for multigraphs:

10 13-approximation for 2-ECS [Feige et al. 2002], 2 3-approximation for k-ECS [Feige et al. + Shannon], k k+µ-approximation for k-ECS [Feige et al. + Vizing],

ξ(k)-approximation for k-ECS [Feige et al. + Sanders & Steurer ’08], where ξ(k) = k/

  • k + 2 +

√ k + 1 +

  • 9

2(k + 2 +

√ k + 1)

  • Note that limk→∞ ξ(k) = 1.
  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 8 / 24

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SLIDE 22

Maximum k-ECS: Our results

for simple graphs:

13 15-approximation for 3-ECS, 9 11-approximation for 4-ECS.

for multigraphs:

7 9-approximation for 3-ECS.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 9 / 24

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SLIDE 23

Improving the simple approach

Two ways of improving:

1 Improve the lower bound for OPT (find something better than

|F| ≥ OPT), or

2 Improve the coloring phase.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 10 / 24

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SLIDE 24

Improving the simple approach

Two ways of improving:

1 Improve the lower bound for OPT (find something better than

|F| ≥ OPT), or

2 Improve the coloring phase. ←

− Let’s start from this

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 10 / 24

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SLIDE 25

Can we beat Vizing? (Even case)

Observation

For every even k > 0 in G = Kk+1 every k-ECS H has size ≤

k k+1|E(G)|.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 11 / 24

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SLIDE 26

Can we beat Vizing? (Even case)

Observation

For every even k > 0 in G = Kk+1 every k-ECS H has size ≤

k k+1|E(G)|.

Proof: Every color has ≤ k/2 edges,

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 11 / 24

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SLIDE 27

Can we beat Vizing? (Even case)

Observation

For every even k > 0 in G = Kk+1 every k-ECS H has size ≤

k k+1|E(G)|.

Proof: Every color has ≤ k/2 edges, So all colors have |E(H)| ≤ k2/2 edges,

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 11 / 24

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SLIDE 28

Can we beat Vizing? (Even case)

Observation

For every even k > 0 in G = Kk+1 every k-ECS H has size ≤

k k+1|E(G)|.

Proof: Every color has ≤ k/2 edges, So all colors have |E(H)| ≤ k2/2 edges, |E(G)| = k+1

2

  • = (k + 1)k/2,
  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 11 / 24

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SLIDE 29

Can we beat Vizing? (Even case) No!

Observation

For every even k > 0 in G = Kk+1 every k-ECS H has size ≤

k k+1|E(G)|.

Proof: Every color has ≤ k/2 edges, So all colors have |E(H)| ≤ k2/2 edges, |E(G)| = k+1

2

  • = (k + 1)k/2,

hence |E(H)|/|E(G)| ≤

k k+1.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 11 / 24

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SLIDE 30

Can we beat Vizing? (Odd case)

  • Kp := Kp with one edge subdivided.

Observation

For every odd k > 0 in G = Kk+1 every k-ECS H has size ≤ |E(G)| − 1.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 12 / 24

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SLIDE 31

Can we beat Vizing? (Odd case)

  • Kp := Kp with one edge subdivided.

Observation

For every odd k > 0 in G = Kk+1 every k-ECS H has size ≤ |E(G)| − 1. Proof: Every color has ≤ k+1

2

edges,

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 12 / 24

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SLIDE 32

Can we beat Vizing? (Odd case) Maybe...

  • Kp := Kp with one edge subdivided.

Observation

For every odd k > 0 in G = Kk+1 every k-ECS H has size ≤ |E(G)| − 1. Proof: Every color has ≤ k+1

2

edges, So all colors have |E(H)| ≤ k k+1

2

= |E(G)| − 1 edges.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 12 / 24

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SLIDE 33

Can we beat Vizing? (k = 3 case: Yes, we can!)

Theorem [Rizzi 2009]

Every simple graph G of max degree 3 has a 3-ECS with ≥ 6

7|E(G)| edges.

Tight by K4:

Corollary [Rizzi 2009]

There is a 6

7-approximation for the max 3-ECS problem in simple graphs.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 13 / 24

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SLIDE 34

Can we beat Vizing? (k = 3 case, subclasses: even more!)

Theorem [Albertson and Haas 1996]

Every simple 3-regular graph G has a 3-ECS with ≥ 13

15|E(G)| edges.

Theorem [Rizzi 2009]

Every simple triangle-free graph G of max degree 3 has a 3-ECS with ≥ 13

15|E(G)| edges.

Both tight by the Petersen graph:

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 14 / 24

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SLIDE 35

Question and Answer

Question

Is there any other bottleneck than K4 for general graps of maximum degree 3?

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 15 / 24

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SLIDE 36

Question and Answer

Question

Is there any other bottleneck than K4 for general graps of maximum degree 3?

Our Answer

No!

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 15 / 24

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SLIDE 37

Question and Answer

Question

Is there any other bottleneck than K4 for general graps of maximum degree 3?

Our Answer

Every multigraph G of max degree 3 has a 3-ECS with ≥ 13

15|E(G)| edges,

unless G = K4.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 15 / 24

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SLIDE 38

Some more answers: cubic multigraphs

Theorem (Vizing)

Every multigraph G of max degree 3 has a 3-ECS with ≥ 3

4|E(G)| edgess.

Tight by the following graph, call it G3:

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 16 / 24

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SLIDE 39

Some more answers: cubic multigraphs

Theorem (Vizing)

Every multigraph G of max degree 3 has a 3-ECS with ≥ 3

4|E(G)| edgess.

Tight by the following graph, call it G3:

Our result

Every multigraph G of max degree 3 has a 3-ECS with ≥ 7

9|E(G)| edges,

unless G = G3.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 16 / 24

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SLIDE 40

One more answer

Our result

Every simple graph G of max degree 4 has a 3-ECS with ≥ 5

6|E(G)| edges,

unless G = K5.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 17 / 24

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SLIDE 41

Annoying bottlenecks

k = 2 k = 3 k = 3 k = 4 simple graphs simple graphs multigraphs simple graphs ratio 2

3

ratio 6

7

ratio 3

4

ratio 4

5

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 18 / 24

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SLIDE 42

Improving the lower bound for k = 2

For the k = 2 case the bottleneck in the 2

3-approximation is a triangle.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 19 / 24

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SLIDE 43

Improving the lower bound for k = 2

For the k = 2 case the bottleneck in the 2

3-approximation is a triangle.

Theorem [Hartvigssen]

For a simple graph G one can find a maximum triangle-free 2-matching in G in polynomial time.

(immediate) Corollary [Feige et al.]

A 4

5-approximation for simple graphs.

Now the bottleneck is...

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 19 / 24

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SLIDE 44

Improving the lower bound for k = 2

For the k = 2 case the bottleneck in the 2

3-approximation is a triangle.

Theorem [Hartvigssen]

For a simple graph G one can find a maximum triangle-free 2-matching in G in polynomial time.

(immediate) Corollary [Feige et al.]

A 4

5-approximation for simple graphs.

Now the bottleneck is... a pentagon.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 19 / 24

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SLIDE 45

Improving the lower bound for k = 2

For the k = 2 case the bottleneck in the 2

3-approximation is a triangle.

Theorem [Hartvigssen]

For a simple graph G one can find a maximum triangle-free 2-matching in G in polynomial time.

(immediate) Corollary [Feige et al.]

A 4

5-approximation for simple graphs.

Now the bottleneck is... a pentagon.

Can we repeat the trick?

It is not known whether finding a maximum k-matching without odd cycles of length ≤ 5 is in P. For some ℓ > 0, finding a maximum k-matching without odd cycles of length ≤ ℓ is NP-hard.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 19 / 24

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SLIDE 46

Annoying bottlenecks

k = 2 k = 3 k = 3 k = 4 simple graphs simple graphs multigraphs simple graphs ratio 4

5

ratio 6

7

ratio 3

4

ratio 4

5

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 20 / 24

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SLIDE 47

Improving the lower bound for k = 2 [Kosowski 2009]

Observation

Consider a pentagon C and a fixed optimal solution OPT. If OPT has no edge xy with x ∈ V (C), y ∈ V (C) then |E(OPT[V (C)]|) ≤ 4 — i.e. C is very good for us: locally we get approximation ratio 1.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 21 / 24

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SLIDE 48

Improving the lower bound for k = 2 [Kosowski 2009]

Observation

Consider a pentagon C and a fixed optimal solution OPT. If OPT has no edge xy with x ∈ V (C), y ∈ V (C) then |E(OPT[V (C)]|) ≤ 4 — i.e. C is very good for us: locally we get approximation ratio 1. Otherwise, there is an edge in G connecting C and another connected component in F. We can use these edges to form super-components, which have larger 2-edge-colorable sugraphs than 4

5 of their edges.

Theorem [Kosowski]

This leads to a 5

6-approximation for 2-ECS in simple graphs

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 21 / 24

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SLIDE 49

The approach of Kosowski generalized

Theorem

Let G be a family of graphs.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 22 / 24

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SLIDE 50

The approach of Kosowski generalized

Theorem

Let G be a family of graphs. Let F be the family of k-matchings of graphs in G.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 22 / 24

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SLIDE 51

The approach of Kosowski generalized

Theorem

Let G be a family of graphs. Let F be the family of k-matchings of graphs in G. Let B ⊂ F be a family ,,bottleneck graphs”.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 22 / 24

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SLIDE 52

The approach of Kosowski generalized

Theorem

Let G be a family of graphs. Let F be the family of k-matchings of graphs in G. Let B ⊂ F be a family ,,bottleneck graphs”. Assume there is a polynomial-time algorithm A which for every graph F ∈ F colors ≥ α|E(F)| edges.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 22 / 24

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SLIDE 53

The approach of Kosowski generalized

Theorem

Let G be a family of graphs. Let F be the family of k-matchings of graphs in G. Let B ⊂ F be a family ,,bottleneck graphs”. Assume there is a polynomial-time algorithm A which for every graph F ∈ F colors ≥ α|E(F)| edges. Assume that whenever F ∈ B then A colors ≥ (α + ǫ)|E(F)| edges.

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 22 / 24

slide-54
SLIDE 54

The approach of Kosowski generalized

Theorem

Let G be a family of graphs. Let F be the family of k-matchings of graphs in G. Let B ⊂ F be a family ,,bottleneck graphs”. Assume there is a polynomial-time algorithm A which for every graph F ∈ F colors ≥ α|E(F)| edges. Assume that whenever F ∈ B then A colors ≥ (α + ǫ)|E(F)| edges. Then, (if B has some nice properties), we can get approximation ratio better than α for the family G.

Corollary

13 15-approximation for 3-ECS in simple graphs (B = {

K4}),

7 9-approximation for 3-ECS in multigraphs (B = {G4}). 9 11-approximation for 4-ECS in simple graphs (B = {K5}).

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 22 / 24

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SLIDE 55

We conjecture...

Conjecture 1

For any simple graph G and odd number k, there is an ǫ > 0 such that

s(G) |E(G)| ≥ k k+1 + ǫ.

Conjecture 2

For any simple graph G and even number k, there is an ǫ > 0 such that

s(G) |E(G)| ≥ k k+1 + ǫ, unless G = Kk+1.

Verified for k = 3, 4 (this work).

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 23 / 24

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SLIDE 56

The end

Thank you for your attention!

  • Lukasz Kowalik (Warsaw)

Maximum edge-colorable subgraph Bergen, 23.06.2010 24 / 24