A strengthening of the Murty-Simon Conjecture on diameter 2 critical - - PowerPoint PPT Presentation

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A strengthening of the Murty-Simon Conjecture on diameter 2 critical - - PowerPoint PPT Presentation

A strengthening of the Murty-Simon Conjecture on diameter 2 critical graphs Antoine Dailly 1 , Florent Foucaud 2 , Adriana Hansberg 3 1 Universit e Lyon 1, LIRIS, Lyon, France 2 LIMOS, Universit e Clermont Auvergne, Aubi` ere, France 3


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SLIDE 1

A strengthening of the Murty-Simon Conjecture

  • n diameter 2 critical graphs

Antoine Dailly1, Florent Foucaud2, Adriana Hansberg3

1Universit´

e Lyon 1, LIRIS, Lyon, France

2LIMOS, Universit´

e Clermont Auvergne, Aubi` ere, France

3Instituto de Matem´

aticas, UNAM, Mexico

ICGT, July 11, 2018

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SLIDE 2

Diameter 2 critical graphs

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SLIDE 3

Diameter 2 critical graphs

Diameter

The diameter of a graph is the highest distance between two vertices.

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SLIDE 4

Diameter 2 critical graphs

Diameter

The diameter of a graph is the highest distance between two vertices. Diameter 2

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SLIDE 5

Diameter 2 critical graphs

Diameter

The diameter of a graph is the highest distance between two vertices.

Diameter d critical graphs

A graph is diameter d critical (or DdC) if:

  • 1. It has diameter d;
  • 2. Deleting any edge increases the diameter.

Diameter 2

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SLIDE 6

Diameter 2 critical graphs

Diameter

The diameter of a graph is the highest distance between two vertices.

Diameter d critical graphs

A graph is diameter d critical (or DdC) if:

  • 1. It has diameter d;
  • 2. Deleting any edge increases the diameter.

Diameter 2

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SLIDE 7

Diameter 2 critical graphs

Diameter

The diameter of a graph is the highest distance between two vertices.

Diameter d critical graphs

A graph is diameter d critical (or DdC) if:

  • 1. It has diameter d;
  • 2. Deleting any edge increases the diameter.

Diameter 2

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SLIDE 8

Diameter 2 critical graphs

Diameter

The diameter of a graph is the highest distance between two vertices.

Diameter d critical graphs

A graph is diameter d critical (or DdC) if:

  • 1. It has diameter d;
  • 2. Deleting any edge increases the diameter.

Diameter 2 critical

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SLIDE 9

Diameter 2 critical graphs

Several well-known graphs:

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SLIDE 10

Diameter 2 critical graphs

Several well-known graphs:

  • Complete bipartite graphs

Clebsch Graph Chv` atal Graph

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SLIDE 11

Diameter 2 critical graphs

Several well-known graphs:

  • Complete bipartite graphs

Clebsch Graph Chv` atal Graph ... and many others!

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SLIDE 12

The Murty-Simon Conjecture

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SLIDE 13

The Murty-Simon Conjecture

Theorem (Mantel, 1907)

A triangle-free graph of order n and size m verifies m ≤ ⌊ n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉. 4/20

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SLIDE 14

The Murty-Simon Conjecture

Theorem (Mantel, 1907)

A triangle-free graph of order n and size m verifies m ≤ ⌊ n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉.

Diameter 2 triangle-free graphs ⇔ D2C triangle-free graphs

4/20

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SLIDE 15

The Murty-Simon Conjecture

Theorem (Mantel, 1907)

A triangle-free graph of order n and size m verifies m ≤ ⌊ n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉.

Diameter 2 triangle-free graphs ⇔ D2C triangle-free graphs

Conjecture (Murty, Simon, Ore, Plesn´ ık, 1970s)

A D2C graph of order n and size m verifies m ≤ ⌊n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉. 4/20

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SLIDE 16

The Murty-Simon Conjecture: history

Conjecture (Murty, Simon, Ore, Plesn´ ık, 1970s)

A D2C graph of order n and size m verifies m ≤ ⌊n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉. 5/20

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SLIDE 17

The Murty-Simon Conjecture: history

Conjecture (Murty, Simon, Ore, Plesn´ ık, 1970s)

A D2C graph of order n and size m verifies m ≤ ⌊n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉.

◮ m < 3n(n−1)

8

= 0.375(n2 − n) (Plesn´ ık, 1975)

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SLIDE 18

The Murty-Simon Conjecture: history

Conjecture (Murty, Simon, Ore, Plesn´ ık, 1970s)

A D2C graph of order n and size m verifies m ≤ ⌊n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉.

◮ m < 3n(n−1)

8

= 0.375(n2 − n) (Plesn´ ık, 1975) ◮ m < 1+

√ 5 12 n2 < 0.27n2 (Cacceta, H¨

aggkvist, 1979)

5/20

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SLIDE 19

The Murty-Simon Conjecture: history

Conjecture (Murty, Simon, Ore, Plesn´ ık, 1970s)

A D2C graph of order n and size m verifies m ≤ ⌊n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉.

◮ m < 3n(n−1)

8

= 0.375(n2 − n) (Plesn´ ık, 1975) ◮ m < 1+

√ 5 12 n2 < 0.27n2 (Cacceta, H¨

aggkvist, 1979) ◮ m < 0.2532n2 (Fan, 1987)

5/20

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SLIDE 20

The Murty-Simon Conjecture: history

Conjecture (Murty, Simon, Ore, Plesn´ ık, 1970s)

A D2C graph of order n and size m verifies m ≤ ⌊n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉.

◮ m < 3n(n−1)

8

= 0.375(n2 − n) (Plesn´ ık, 1975) ◮ m < 1+

√ 5 12 n2 < 0.27n2 (Cacceta, H¨

aggkvist, 1979) ◮ m < 0.2532n2 (Fan, 1987) The conjecture holds for: ◮ n ≤ 24, n = 26 (Fan, 1987)

5/20

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SLIDE 21

The Murty-Simon Conjecture: history

Conjecture (Murty, Simon, Ore, Plesn´ ık, 1970s)

A D2C graph of order n and size m verifies m ≤ ⌊n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉.

◮ m < 3n(n−1)

8

= 0.375(n2 − n) (Plesn´ ık, 1975) ◮ m < 1+

√ 5 12 n2 < 0.27n2 (Cacceta, H¨

aggkvist, 1979) ◮ m < 0.2532n2 (Fan, 1987) The conjecture holds for: ◮ n ≤ 24, n = 26 (Fan, 1987) ◮ n ≥ 22...2

size 1014 (F¨

uredi, 1992)

5/20

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SLIDE 22

The Murty-Simon Conjecture: history

Conjecture (Murty, Simon, Ore, Plesn´ ık, 1970s)

A D2C graph of order n and size m verifies m ≤ ⌊n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉.

◮ m < 3n(n−1)

8

= 0.375(n2 − n) (Plesn´ ık, 1975) ◮ m < 1+

√ 5 12 n2 < 0.27n2 (Cacceta, H¨

aggkvist, 1979) ◮ m < 0.2532n2 (Fan, 1987) The conjecture holds for: ◮ n ≤ 24, n = 26 (Fan, 1987) ◮ n ≥ 22...2

size 1014 (F¨

uredi, 1992) ◮ ∆ ≥ 0.6756n (Jabalameli et al., 2016)

5/20

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SLIDE 23

The Murty-Simon Conjecture: history

Conjecture (Murty, Simon, Ore, Plesn´ ık, 1970s)

A D2C graph of order n and size m verifies m ≤ ⌊n2

4 ⌋. The

extremal graph is K⌊ n

2 ⌋,⌈ n 2 ⌉.

◮ m < 3n(n−1)

8

= 0.375(n2 − n) (Plesn´ ık, 1975) ◮ m < 1+

√ 5 12 n2 < 0.27n2 (Cacceta, H¨

aggkvist, 1979) ◮ m < 0.2532n2 (Fan, 1987) The conjecture holds for: ◮ n ≤ 24, n = 26 (Fan, 1987) ◮ n ≥ 22...2

size 1014 (F¨

uredi, 1992) ◮ ∆ ≥ 0.6756n (Jabalameli et al., 2016) ◮ With a dominating edge (Hanson and Wang, 2003, Haynes et al., 2011, Wang 2012)

5/20

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SLIDE 24

The Murty-Simon Conjecture: a linear strengthening?

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SLIDE 25

The Murty-Simon Conjecture: a linear strengthening?

Claim (F¨ uredi, 1992)

A non-bipartite D2C graph of order n ≥ n0 and size m verifies m ≤ ⌊(n−1)2

4

⌋ + 1 ≈ ⌊n2

4 − n 2⌋. The extremal graph is obtained by

subdividing an edge of K⌊ n−1

2 ⌋,⌈ n−1 2 ⌉.

  • 6/20
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SLIDE 26

The Murty-Simon Conjecture: a linear strengthening?

Claim (F¨ uredi, 1992)

A non-bipartite D2C graph of order n ≥ n0 and size m verifies m ≤ ⌊(n−1)2

4

⌋ + 1 ≈ ⌊n2

4 − n 2⌋. The extremal graph is obtained by

subdividing an edge of K⌊ n−1

2 ⌋,⌈ n−1 2 ⌉.

  • I n−3

2

I I

Theorem (Balbuena et al., 2015)

A triangle-free non-bipartite D2C graph of order n and size m verifies m ≤ ⌊(n−1)2

4

⌋ + 1. The extremal graphs are some inflations

  • f C5.

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SLIDE 27

Strengthening the Murty-Simon Conjecture

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SLIDE 28

Strengthening the Murty-Simon Conjecture

Conjecture: linear strengthening (Balbuena et al., 2015)

A non-bipartite D2C graph of order n > 6 and size m verifies m ≤ ⌊(n−1)2

4

⌋ + 1. If n ≥ 10, the extremal graphs are some inflations of C5.

7/20

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SLIDE 29

Strengthening the Murty-Simon Conjecture

Conjecture: linear strengthening (Balbuena et al., 2015)

A non-bipartite D2C graph of order n > 6 and size m verifies m ≤ ⌊(n−1)2

4

⌋ + 1. If n ≥ 10, the extremal graphs are some inflations of C5.

Conjecture: constant strengthening (D., Foucaud, Hansberg, 2018)

Let c be a positive integer, then there is a rank n0 such that any non-bipartite D2C graph of order n ≥ n0 and size m verifies m < ⌊ n2

4 ⌋ − c.

7/20

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SLIDE 30

Strengthening the Murty-Simon Conjecture

Conjecture: linear strengthening (Balbuena et al., 2015)

A non-bipartite D2C graph of order n > 6 and size m verifies m ≤ ⌊(n−1)2

4

⌋ + 1. If n ≥ 10, the extremal graphs are some inflations of C5.

Conjecture: constant strengthening (D., Foucaud, Hansberg, 2018)

Let c be a positive integer, then there is a rank n0 such that any non-bipartite D2C graph of order n ≥ n0 and size m verifies m < ⌊ n2

4 ⌋ − c.

Asymptotical since small graphs may not verify the strengthened conjectures. H5 = n = 6 m = 8

7/20

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SLIDE 31

Strengthening the Murty-Simon Conjecture

Conjecture: linear strengthening (Balbuena et al., 2015)

A non-bipartite D2C graph of order n > 6 and size m verifies m ≤ ⌊(n−1)2

4

⌋ + 1. If n ≥ 10, the extremal graphs are some inflations of C5.

Conjecture: constant strengthening (D., Foucaud, Hansberg, 2018)

Let c be a positive integer, then there is a rank n0 such that any non-bipartite D2C graph of order n ≥ n0 and size m verifies m < ⌊ n2

4 ⌋ − c.

Asymptotical since small graphs may not verify the strengthened conjectures. H5 = n = 6 m = 8 ⇒ m > ⌊ (n−1)2

4

⌋ + 1 = 7

7/20

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SLIDE 32

Strengthening the Murty-Simon Conjecture

Conjecture: linear strengthening (Balbuena et al., 2015)

A non-bipartite D2C graph of order n > 6 and size m verifies m ≤ ⌊(n−1)2

4

⌋ + 1. If n ≥ 10, the extremal graphs are some inflations of C5.

Conjecture: constant strengthening (D., Foucaud, Hansberg, 2018)

Let c be a positive integer, then there is a rank n0 such that any non-bipartite D2C graph of order n ≥ n0 and size m verifies m < ⌊ n2

4 ⌋ − c.

Asymptotical since small graphs may not verify the strengthened conjectures. H5 = n = 6 m = 8 ⇒ m > ⌊ (n−1)2

4

⌋ + 1 = 7 m ≥ ⌊n2

4 ⌋ − c = 9 − c if c ≥ 1

7/20

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SLIDE 33

Our main result

Theorem (D., Foucaud, Hansberg, 2018)

Let G be a non-bipartite D2C graph with a dominating edge of

  • rder n and size m. If G = H5 then m < ⌊ n2

4 ⌋ − 1.

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SLIDE 34

Sketch of the proof

Theorem (D., Foucaud, Hansberg, 2018)

Let G be a non-bipartite D2C graph with a dominating edge of

  • rder n and size m. If G = H5 then m < ⌊ n2

4 ⌋ − 1.

N(u) ∩ N(v) N(u) \ N(v) N(v) \ N(u)

u v

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SLIDE 35

Sketch of the proof

Theorem (D., Foucaud, Hansberg, 2018)

Let G be a non-bipartite D2C graph with a dominating edge of

  • rder n and size m. If G = H5 then m < ⌊ n2

4 ⌋ − 1.

Sketch

  • 1. Partition the vertices in two sets A and B.

N(u) ∩ N(v) N(v) \ N(u) N(u) \ N(v)

A B u v

9/20

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SLIDE 36

Sketch of the proof

Theorem (D., Foucaud, Hansberg, 2018)

Let G be a non-bipartite D2C graph with a dominating edge of

  • rder n and size m. If G = H5 then m < ⌊ n2

4 ⌋ − 1.

Sketch

  • 1. Partition the vertices in two sets A and B.
  • 2. Assign every edge in A or B to a non-edge between A and B.

A B u v

9/20

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SLIDE 37

Sketch of the proof

Theorem (D., Foucaud, Hansberg, 2018)

Let G be a non-bipartite D2C graph with a dominating edge of

  • rder n and size m. If G = H5 then m < ⌊ n2

4 ⌋ − 1.

Sketch

  • 1. Partition the vertices in two sets A and B.
  • 2. Assign every edge in A or B to a non-edge between A and B.
  • 3. Find two non-assigned non-edges between A and B.

A B u v

9/20

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SLIDE 38

Assigning internal edges to external non-edges

Definition

An edge e is critical for the vertices x and y if

10/20

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SLIDE 39

Assigning internal edges to external non-edges

Definition

An edge e is critical for the vertices x and y if e is part of the only path of length 1 or 2 between x and y.

10/20

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SLIDE 40

Assigning internal edges to external non-edges

Definition

An edge e is critical for the vertices x and y if e is part of the only path of length 1 or 2 between x and y.

Either e = xy and N(x) ∩ N(y) = ∅;

e x y

N(x) N(y) 10/20

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SLIDE 41

Assigning internal edges to external non-edges

Definition

An edge e is critical for the vertices x and y if e is part of the only path of length 1 or 2 between x and y.

Either e = xy and N(x) ∩ N(y) = ∅;

e x y

N(x) N(y)

Or xy /

∈ E, N(x) ∩ N(y) = {z} and e ∈ {xz, yz}. x y z

N(x) N(y)

e

10/20

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SLIDE 42

Assigning internal edges to external non-edges

Definition

An edge e is critical for the vertices x and y if e is part of the only path of length 1 or 2 between x and y.

Either e = xy and N(x) ∩ N(y) = ∅;

e x y

N(x) N(y)

Or xy /

∈ E, N(x) ∩ N(y) = {z} and e ∈ {xz, yz}. x y z

N(x) N(y)

e ⇒ In a D2C graph, every edge is critical for some pair of vertices

10/20

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SLIDE 43

Assign internal edges to external non-edges

Lemma

Let xy be an edge in A. A B x y

11/20

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SLIDE 44

Assign internal edges to external non-edges

Lemma

Let xy be an edge in A. It is not critical for x and y since they have v as a common neighbour. A B x y v

11/20

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SLIDE 45

Assign internal edges to external non-edges

Lemma

Let xy be an edge in A. It is not critical for x and y since they have v as a common neighbour. Thus it is critical for y and z with z ∈ B ∩ N(x). A B x y z

11/20

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SLIDE 46

Assign internal edges to external non-edges

Lemma

Let xy be an edge in A. It is not critical for x and y since they have v as a common neighbour. Thus it is critical for y and z with z ∈ B ∩ N(x). We set f (xy) = yz. A B x y z f

11/20

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SLIDE 47

Assign internal edges to external non-edges

Lemma

Let xy be an edge in A. It is not critical for x and y since they have v as a common neighbour. Thus it is critical for y and z with z ∈ B ∩ N(x). We set f (xy) = yz. A B x y z f

Lemma

The function f is injective.

11/20

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SLIDE 48

Assign internal edges to external non-edges

Lemma

Let xy be an edge in A. It is not critical for x and y since they have v as a common neighbour. Thus it is critical for y and z with z ∈ B ∩ N(x). We set f (xy) = yz. A B x y z f w f

Lemma

The function f is injective. Proof by contradiction.

11/20

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SLIDE 49

Assign internal edges to external non-edges

Lemma

Let xy be an edge in A. It is not critical for x and y since they have v as a common neighbour. Thus it is critical for y and z with z ∈ B ∩ N(x). We set f (xy) = yz. A B x y z f w f

Lemma

The function f is injective. Proof by contradiction.

11/20

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SLIDE 50

Non-assigned non-edges?

Lemma

A non-edge between A and B with no preimage by f is called f -free. Let free(f ) be the number of f -free non-edges.

12/20

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SLIDE 51

Non-assigned non-edges?

Lemma

A non-edge between A and B with no preimage by f is called f -free. Let free(f ) be the number of f -free non-edges. A B f -free

12/20

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SLIDE 52

Non-assigned non-edges?

Lemma

A non-edge between A and B with no preimage by f is called f -free. Let free(f ) be the number of f -free non-edges. A B f -free f -free

12/20

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SLIDE 53

Non-assigned non-edges?

Lemma

A non-edge between A and B with no preimage by f is called f -free. Let free(f ) be the number of f -free non-edges. There are n2−||A|−|B||

2

4

− free(f ) edges in the graph. A B f -free f -free

12/20

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SLIDE 54

To the next step

Assume by contradiction that G is non-bipartite, D2C, with a dominating edge uv, is not H5 and has at least n2

4 − 1 edges.

13/20

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SLIDE 55

To the next step

Assume by contradiction that G is non-bipartite, D2C, with a dominating edge uv, is not H5 and has at least n2

4 − 1 edges.

Fact to contradict: There is at most one f -free non-edge in G

13/20

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SLIDE 56

To the next step

Assume by contradiction that G is non-bipartite, D2C, with a dominating edge uv, is not H5 and has at least n2

4 − 1 edges.

Fact to contradict: There is at most one f -free non-edge in G

Lemma

  • 1. N(u) ∩ N(v) = ∅
  • 2. uv is critical for u and v only
  • 3. There is at least one edge in A or B

13/20

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SLIDE 57

Defining an orientation of the internal edges

Definition

If f (xy) = yz, A B x y z f

14/20

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SLIDE 58

Defining an orientation of the internal edges

Definition

If f (xy) = yz, we orient xy from x to y. This defines an f -orientation. A B x y z f

14/20

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SLIDE 59

Properties of the f -orientation

Lemma

There is no directed cycle.

15/20

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SLIDE 60

Properties of the f -orientation

Lemma

There is no directed cycle. Proof by contradiction. xi xi+1 A B

15/20

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SLIDE 61

Properties of the f -orientation

Lemma

There is no directed cycle. Proof by contradiction. xi xi+1 A B yi f

15/20

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SLIDE 62

Properties of the f -orientation

Lemma

There is no directed cycle. Proof by contradiction. xi xi+1 A B yi f xj xj+1

  • 15/20
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SLIDE 63

Properties of the f -orientation

Lemma

There is no directed cycle. Proof by contradiction. xi xi+1 A B yi f xj xj+1

  • yj

f

15/20

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SLIDE 64

Properties of the f -orientation

Lemma

There is no directed cycle. Proof by contradiction. xi xi+1 A B yi f xj xj+1

  • yj

f f -free

15/20

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SLIDE 65

Properties of the f -orientation

Lemma

Let − → xy be an arc in A such that no f -free non-edge is incident with x or y. x y A B

16/20

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SLIDE 66

Properties of the f -orientation

Lemma

Let − → xy be an arc in A such that no f -free non-edge is incident with x or y. Then N(x) ∩ B = (N(y) ∩ B) . x y A B

  • 16/20
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SLIDE 67

Properties of the f -orientation

Lemma

Let − → xy be an arc in A such that no f -free non-edge is incident with x or y. Then ∃!z ∈ B such that N(x) ∩ B = (N(y) ∩ B) ∪ {z}. x y A B

  • z

16/20

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SLIDE 68

Properties of the f -orientation

Lemma

Let − → xy be an arc in A such that no f -free non-edge is incident with x or y. Then ∃!z ∈ B such that N(x) ∩ B = (N(y) ∩ B) ∪ {z}. Proof by contradiction. x y A B

  • z

16/20

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SLIDE 69

Properties of the f -orientation

Lemma

Let − → xy be an arc in A such that no f -free non-edge is incident with x or y. Then ∃!z ∈ B such that N(x) ∩ B = (N(y) ∩ B) ∪ {z}. Proof by contradiction. x y A B w

16/20

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SLIDE 70

Properties of the f -orientation

Lemma

Let − → xy be an arc in A such that no f -free non-edge is incident with x or y. Then ∃!z ∈ B such that N(x) ∩ B = (N(y) ∩ B) ∪ {z}. Proof by contradiction. x y A B w f

  • f

r e e

16/20

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SLIDE 71

Properties of the f -orientation

Lemma

Let − → xy be an arc in A such that no f -free non-edge is incident with x or y. Then ∃!z ∈ B such that N(x) ∩ B = (N(y) ∩ B) ∪ {z}. Proof by contradiction. x y A B z1 z2

16/20

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SLIDE 72

Properties of the f -orientation

Lemma

Let − → xy be an arc in A such that no f -free non-edge is incident with x or y. Then ∃!z ∈ B such that N(x) ∩ B = (N(y) ∩ B) ∪ {z}. Proof by contradiction. x y A B z1 z2 f f -free

16/20

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SLIDE 73

Properties of the f -orientation

Lemma

Let − → xy be an arc in A such that no f -free non-edge is incident with x or y. Then ∃!z ∈ B such that N(x) ∩ B = (N(y) ∩ B) ∪ {z}. Proof by contradiction. x y A B

  • z

Lemma

  • 1. Let s be a source. There is at least one f -free non-edge

incident with a vertex in N+[s].

16/20

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SLIDE 74

Properties of the f -orientation

Lemma

Let − → xy be an arc in A such that no f -free non-edge is incident with x or y. Then ∃!z ∈ B such that N(x) ∩ B = (N(y) ∩ B) ∪ {z}. Proof by contradiction. x y A B

  • z

Lemma

  • 1. Let s be a source. There is at least one f -free non-edge

incident with a vertex in N+[s].

  • 2. Let t be a sink. There is at least one f -free non-edge incident

with a vertex in N−[t].

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SLIDE 75

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

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SLIDE 76

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

Consequences of the previous lemmas

  • 1. Only one nontrivial component in A and B

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SLIDE 77

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

Consequences of the previous lemmas

  • 1. Only one nontrivial component in A and B
  • 2. The nontrivial component has diameter ≥ 3

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SLIDE 78

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

Consequences of the previous lemmas

  • 1. Only one nontrivial component in A and B
  • 2. The nontrivial component has diameter ≥ 3
  • 3. The f -free non-edge is incident with a vertex r such that:

3.1 For all source s, r ∈ N+[s] 3.2 For all sink t, r ∈ N−[t]

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SLIDE 79

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

Consequences of the previous lemmas

  • 1. Only one nontrivial component in A and B
  • 2. The nontrivial component has diameter ≥ 3
  • 3. The f -free non-edge is incident with a vertex r such that:

3.1 For all source s, r ∈ N+[s] 3.2 For all sink t, r ∈ N−[t]

r = s t1 tℓ

  • • •

f -free r = t s1 sk

  • • •

f -free r t1 tℓ s1 sk

  • • •
  • • •

f -free

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SLIDE 80

Proving the contradiction

r = s t1 tℓ

  • • •

f -free r = t f -free s1 sk

  • • •

r t1 tℓ

  • • •

f -free s1 sk

  • • •

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SLIDE 81

Proving the contradiction

r = s t1 tℓ

  • • •

f -free r = t f -free s1 sk

  • • •

r t1 tℓ

  • • •

f -free s1 sk

  • • •

Lemma

  • 1. r is either a sink or the only inneighbour of all sinks.

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SLIDE 82

Proving the contradiction

r = s t1 tℓ

  • • •

f -free since the com- ponent has diameter ≥ 3 r = t f -free s1 sk

  • • •

r t1 tℓ

  • • •

f -free s1 sk

  • • •

Lemma

  • 1. r is either a sink or the only inneighbour of all sinks.

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SLIDE 83

Proving the contradiction

r = s t1 tℓ

  • • •

f -free since the com- ponent has diameter ≥ 3 r = t f -free s r t1 tℓ

  • • •

f -free s

Lemma

  • 1. r is either a sink or the only inneighbour of all sinks.
  • 2. There is only one source.

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SLIDE 84

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

The last steps

A B s r

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SLIDE 85

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

The last steps

  • 1. s has an outneighbour distinct from r

A B s r x

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SLIDE 86

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

The last steps

  • 1. s has an outneighbour distinct from r
  • 2. s has a non-neighbour y1 ∈ B. No successor of s and

predecessor of r can be adjacent to y1. A B s r x y1

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SLIDE 87

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

The last steps

  • 1. s has an outneighbour distinct from r
  • 2. s has a non-neighbour y1 ∈ B. No successor of s and

predecessor of r can be adjacent to y1.

  • 3. sy1 is not f -free; its preimage is in B since s is a source

A B s r x y1 y2 f

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SLIDE 88

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

The last steps

  • 1. s has an outneighbour distinct from r
  • 2. s has a non-neighbour y1 ∈ B. No successor of s and

predecessor of r can be adjacent to y1.

  • 3. sy1 is not f -free; its preimage is in B since s is a source
  • 4. xy1 has a preimage by f , which cannot be y1z with z ∈ B

since otherwise z ∈ N(s) A B s r x y1 y2 f z

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SLIDE 89

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

The last steps

  • 1. s has an outneighbour distinct from r
  • 2. s has a non-neighbour y1 ∈ B. No successor of s and

predecessor of r can be adjacent to y1.

  • 3. sy1 is not f -free; its preimage is in B since s is a source
  • 4. xy1 has a preimage by f , which cannot be y1z with z ∈ B

since otherwise z ∈ N(s) A B s r x y1 y2 f z f

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SLIDE 90

Proving the contradiction

Fact to contradict: there is ≤ 1 f -free non-edge

The last steps

  • 1. s has an outneighbour distinct from r
  • 2. s has a non-neighbour y1 ∈ B. No successor of s and

predecessor of r can be adjacent to y1.

  • 3. sy1 is not f -free; its preimage is in B since s is a source
  • 4. xy1 has a preimage by f , which cannot be y1z with z ∈ B

since otherwise z ∈ N(s)

  • 5. z is a successor of s and a predecessor of r: contradiction!

A B s r x y1 y2 f z f

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SLIDE 91

Conclusion

  • 1. Strengthening the Murty-Simon Conjecture in two ways:

linear and constant

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SLIDE 92

Conclusion

  • 1. Strengthening the Murty-Simon Conjecture in two ways:

linear and constant

  • 2. Proving the constant strengthening for D2C graphs with a

dominating edge

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SLIDE 93

Conclusion

  • 1. Strengthening the Murty-Simon Conjecture in two ways:

linear and constant

  • 2. Proving the constant strengthening for D2C graphs with a

dominating edge

Future research

  • 1. Improving the constant bound for this family

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SLIDE 94

Conclusion

  • 1. Strengthening the Murty-Simon Conjecture in two ways:

linear and constant

  • 2. Proving the constant strengthening for D2C graphs with a

dominating edge

Future research

  • 1. Improving the constant bound for this family → Difficulty:

most properties of the f -orientation are local

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SLIDE 95

Conclusion

  • 1. Strengthening the Murty-Simon Conjecture in two ways:

linear and constant

  • 2. Proving the constant strengthening for D2C graphs with a

dominating edge

Future research

  • 1. Improving the constant bound for this family → Difficulty:

most properties of the f -orientation are local

  • 2. Studying other families of D2C graphs

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SLIDE 96

Conclusion

  • 1. Strengthening the Murty-Simon Conjecture in two ways:

linear and constant

  • 2. Proving the constant strengthening for D2C graphs with a

dominating edge

Future research

  • 1. Improving the constant bound for this family → Difficulty:

most properties of the f -orientation are local

  • 2. Studying other families of D2C graphs
  • 3. Reaching for asymptotic results

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SLIDE 97

Conclusion

  • 1. Strengthening the Murty-Simon Conjecture in two ways:

linear and constant

  • 2. Proving the constant strengthening for D2C graphs with a

dominating edge

Future research

  • 1. Improving the constant bound for this family → Difficulty:

most properties of the f -orientation are local

  • 2. Studying other families of D2C graphs
  • 3. Reaching for asymptotic results

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