Non-existence of some Moore Cayley digraphs Alexander Gavrilyuk - - PowerPoint PPT Presentation

non existence of some moore cayley digraphs
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Non-existence of some Moore Cayley digraphs Alexander Gavrilyuk - - PowerPoint PPT Presentation

Non-existence of some Moore Cayley digraphs Alexander Gavrilyuk (Pusan National University), based on joint work with Mitsugu Hirasaka (Pusan National University) , Vladislav Kabanov (Krasovskii Institute of Mathematics and Mechanics) June


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SLIDE 1

Non-existence of some Moore Cayley digraphs

Alexander Gavrilyuk

(Pusan National University),

based on joint work with Mitsugu Hirasaka

(Pusan National University),

Vladislav Kabanov

(Krasovskii Institute of Mathematics and Mechanics)

June 17, 2019

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SLIDE 2

Moore bound

Let Γ be an undirected graph: ◮ regular of degree k; ◮ of diameter D; ◮ on N vertices.

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Moore graphs

Let Γ be an undirected graph: ◮ regular of degree k; ◮ of diameter D; ◮ on N vertices.

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SLIDE 4

Digraphs = Mixed graphs = Partially directed graphs

Digraphs may have arcs as well as (undirected) edges: An analogue of the Moore bound for digraphs can be derived, but its general form is quite complicated. In fact:

Theorem (Nguyen, Miller, Gimbert, 2007)

There are no Moore digraphs with diameter > 2.

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SLIDE 5

Digraphs = Mixed graphs = Partially directed graphs

Digraphs may have arcs as well as (undirected) edges: An analogue of the Moore bound for digraphs can be derived, but its general form is quite complicated. In fact:

Theorem (Nguyen, Miller, Gimbert, 2007)

There are no Moore digraphs with diameter > 2.

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SLIDE 6

Digraphs = Mixed graphs = Partially directed graphs

Digraphs may have arcs as well as (undirected) edges: An analogue of the Moore bound for digraphs can be derived, but its general form is quite complicated. In fact:

Theorem (Nguyen, Miller, Gimbert, 2007)

There are no Moore digraphs with diameter > 2.

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SLIDE 7

Digraphs = Mixed graphs = Partially directed graphs

Digraphs may have arcs as well as (undirected) edges: An analogue of the Moore bound for digraphs can be derived, but its general form is quite complicated. In fact:

Theorem (Nguyen, Miller, Gimbert, 2007)

There are no Moore digraphs with diameter > 2.

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SLIDE 8

Moore digraphs

Theorem (Bos´ ak, 1979)

Let ∆ be a Moore digraph of diameter 2 with degrees (r, z). Then the number n of vertices of ∆ is n = (r + z)2 + z + 1 and exactly one of the following cases occurs: ◮ z = 1, r = 0 (a directed 3-cycle); ◮ z = 0, r = 2 (an undirected 5-cycle); ◮ there exists an odd positive integer c such that c divides (4z − 3)(4z + 5) and r = 1

4(c2 + 3).

Admissible values of r: 1, 3, 7, 13, 21, . . ., For given r: infinitely many admissible values of z.

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SLIDE 9

Moore digraphs

Theorem (Bos´ ak, 1979)

Let ∆ be a Moore digraph of diameter 2 with degrees (r, z). Then the number n of vertices of ∆ is n = (r + z)2 + z + 1 and exactly one of the following cases occurs: ◮ z = 1, r = 0 (a directed 3-cycle); ◮ z = 0, r = 2 (an undirected 5-cycle); ◮ there exists an odd positive integer c such that c divides (4z − 3)(4z + 5) and r = 1

4(c2 + 3).

Admissible values of r: 1, 3, 7, 13, 21, . . ., For given r: infinitely many admissible values of z.

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Known Moore digraphs

◮ r = 1: only Moore digraphs are the Kautz digraphs.

(Gimbert, 2001) They are the line graphs of complete digraphs.

◮ r > 1: only three examples are known:

◮ the Bos´ ak graph on 18 vertices, (r, z) = (3, 1); ◮ two Jørgensen graphs on 108 vertices, (r, z) = (3, 7).

All three examples are Cayley digraphs.

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SLIDE 11

Known Moore digraphs

◮ r = 1: only Moore digraphs are the Kautz digraphs.

(Gimbert, 2001) They are the line graphs of complete digraphs.

◮ r > 1: only three examples are known:

◮ the Bos´ ak graph on 18 vertices, (r, z) = (3, 1); ◮ two Jørgensen graphs on 108 vertices, (r, z) = (3, 7).

All three examples are Cayley digraphs.

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SLIDE 12

Known Moore digraphs

◮ r = 1: only Moore digraphs are the Kautz digraphs.

(Gimbert, 2001) They are the line graphs of complete digraphs.

◮ r > 1: only three examples are known:

◮ the Bos´ ak graph on 18 vertices, (r, z) = (3, 1); ◮ two Jørgensen graphs on 108 vertices, (r, z) = (3, 7).

All three examples are Cayley digraphs.

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Cayley digraphs

Given a finite group G and a subset S ⊆ G \ {1}, with S = S1 ∪ S2, S1 = S−1

1 , and S2 ∩ S−1 2

= ∅, the Cayley (di-)graph Cay(G, S) has: ◮ the vertex set G; ◮ an arc g − → gs for every g ∈ G, s ∈ S; ◮ the undirected degree r = |S1|; ◮ the directed degree z = |S2|. Moore digraphs of diameter 2 are defined by the property: for every pair (x, y) of vertices of ∆, there is a unique trail x − → . . . − → y of length at most 2. If ∆ is a Moore Cayley digraph Cay(G, S), then: ◮ for g ∈ S, ∃ a pair (s1, s2) ∈ S × S such that g = s1s2; ◮ for g ∈ S, ∃! a pair (s1, s2) ∈ S × S such that g = s1s2.

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SLIDE 14

Cayley digraphs

Given a finite group G and a subset S ⊆ G \ {1}, with S = S1 ∪ S2, S1 = S−1

1 , and S2 ∩ S−1 2

= ∅, the Cayley (di-)graph Cay(G, S) has: ◮ the vertex set G; ◮ an arc g − → gs for every g ∈ G, s ∈ S; ◮ the undirected degree r = |S1|; ◮ the directed degree z = |S2|. Moore digraphs of diameter 2 are defined by the property: for every pair (x, y) of vertices of ∆, there is a unique trail x − → . . . − → y of length at most 2. If ∆ is a Moore Cayley digraph Cay(G, S), then: ◮ for g ∈ S, ∃ a pair (s1, s2) ∈ S × S such that g = s1s2; ◮ for g ∈ S, ∃! a pair (s1, s2) ∈ S × S such that g = s1s2.

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SLIDE 15

Cayley digraphs

Given a finite group G and a subset S ⊆ G \ {1}, with S = S1 ∪ S2, S1 = S−1

1 , and S2 ∩ S−1 2

= ∅, the Cayley (di-)graph Cay(G, S) has: ◮ the vertex set G; ◮ an arc g − → gs for every g ∈ G, s ∈ S; ◮ the undirected degree r = |S1|; ◮ the directed degree z = |S2|. Moore digraphs of diameter 2 are defined by the property: for every pair (x, y) of vertices of ∆, there is a unique trail x − → . . . − → y of length at most 2. If ∆ is a Moore Cayley digraph Cay(G, S), then: ◮ for g ∈ S, ∃ a pair (s1, s2) ∈ S × S such that g = s1s2; ◮ for g ∈ S, ∃! a pair (s1, s2) ∈ S × S such that g = s1s2.

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Moore Cayley digraphs on at most 486 vertices, 1

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SLIDE 17

Moore Cayley digraphs on at most 486 vertices, 2

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The adjacency algebra of ∆

The adjacency matrix A = A(∆) ∈ RV ×V : (A)x,y :=

  • 1

if x → y, 0 otherwise. As for every pair (x, y) of vertices of ∆, there is a unique trail x − → . . . − → y of length at most 2: I + A + A2 = rI + J, and JA = AJ = kJ, so A is diagonalizable with 3 eigenspaces with eigenvalues k = r + z, and σ1, σ2 ∈ Z, which are expressed in n, r, z. The projection matrix Eσi onto the (right) σi-eigenspace: Eσi ∈ A, I, J.

Duval (1988); Jørgensen (2003); Godsil, Hobart, Martin (2007)

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SLIDE 19

The adjacency algebra of ∆

The adjacency matrix A = A(∆) ∈ RV ×V : (A)x,y :=

  • 1

if x → y, 0 otherwise. As for every pair (x, y) of vertices of ∆, there is a unique trail x − → . . . − → y of length at most 2: I + A + A2 = rI + J, and JA = AJ = kJ, so A is diagonalizable with 3 eigenspaces with eigenvalues k = r + z, and σ1, σ2 ∈ Z, which are expressed in n, r, z. The projection matrix Eσi onto the (right) σi-eigenspace: Eσi ∈ A, I, J.

Duval (1988); Jørgensen (2003); Godsil, Hobart, Martin (2007)

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SLIDE 20

The adjacency algebra of ∆

The adjacency matrix A = A(∆) ∈ RV ×V : (A)x,y :=

  • 1

if x → y, 0 otherwise. As for every pair (x, y) of vertices of ∆, there is a unique trail x − → . . . − → y of length at most 2: I + A + A2 = rI + J, and JA = AJ = kJ, so A is diagonalizable with 3 eigenspaces with eigenvalues k = r + z, and σ1, σ2 ∈ Z, which are expressed in n, r, z. The projection matrix Eσi onto the (right) σi-eigenspace: Eσi ∈ A, I, J.

Duval (1988); Jørgensen (2003); Godsil, Hobart, Martin (2007)

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SLIDE 21

The Higman-Benson observation

◮ G ≤ Aut(∆); ◮ g ∈ G: g → Xg, a permutation matrix; ◮ XgA = AXg, and as Eσi ∈ A, I, J ⇒ XgEσi = EσiXg; ◮ By using this, one can show that Tr(EσiXg) ∈ Z; ◮ On the other hand, since Eσi ∈ A, I, J, we have: Tr(EσiXg) = αiTr(AXg) + βiTr(IXg) + γiTr(JXg)∈ Z ↓ ↓ ↓ ∈ Q, but often ∈ Z. ◮ Now: Tr(IXg) = #{v ∈ ∆ | v = vg}, Tr(AXg) = #{v ∈ ∆ | v − → vg}.

◮ G. Higman: a degree 57 Moore graph; ◮ C. Benson: finite GQs.

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SLIDE 22

The Higman-Benson observation

◮ G ≤ Aut(∆); ◮ g ∈ G: g → Xg, a permutation matrix; ◮ XgA = AXg, and as Eσi ∈ A, I, J ⇒ XgEσi = EσiXg; ◮ By using this, one can show that Tr(EσiXg) ∈ Z; ◮ On the other hand, since Eσi ∈ A, I, J, we have: Tr(EσiXg) = αiTr(AXg) + βiTr(IXg) + γiTr(JXg)∈ Z ↓ ↓ ↓ ∈ Q, but often ∈ Z. ◮ Now: Tr(IXg) = #{v ∈ ∆ | v = vg}, Tr(AXg) = #{v ∈ ∆ | v − → vg}.

◮ G. Higman: a degree 57 Moore graph; ◮ C. Benson: finite GQs.

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SLIDE 23

The Higman-Benson observation

◮ G ≤ Aut(∆); ◮ g ∈ G: g → Xg, a permutation matrix; ◮ XgA = AXg, and as Eσi ∈ A, I, J ⇒ XgEσi = EσiXg; ◮ By using this, one can show that Tr(EσiXg) ∈ Z; ◮ On the other hand, since Eσi ∈ A, I, J, we have: Tr(EσiXg) = αiTr(AXg) + βiTr(IXg) + γiTr(JXg)∈ Z ↓ ↓ ↓ ∈ Q, but often ∈ Z. ◮ Now: Tr(IXg) = #{v ∈ ∆ | v = vg}, Tr(AXg) = #{v ∈ ∆ | v − → vg}.

◮ G. Higman: a degree 57 Moore graph; ◮ C. Benson: finite GQs.

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SLIDE 24

The Higman-Benson observation

◮ G ≤ Aut(∆); ◮ g ∈ G: g → Xg, a permutation matrix; ◮ XgA = AXg, and as Eσi ∈ A, I, J ⇒ XgEσi = EσiXg; ◮ By using this, one can show that Tr(EσiXg) ∈ Z; ◮ On the other hand, since Eσi ∈ A, I, J, we have: Tr(EσiXg) = αiTr(AXg) + βiTr(IXg) + γiTr(JXg)∈ Z ↓ ↓ ↓ ∈ Q, but often ∈ Z. ◮ Now: Tr(IXg) = #{v ∈ ∆ | v = vg}, Tr(AXg) = #{v ∈ ∆ | v − → vg}.

◮ G. Higman: a degree 57 Moore graph; ◮ C. Benson: finite GQs.

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SLIDE 25

The Higman-Benson observation

◮ G ≤ Aut(∆); ◮ g ∈ G: g → Xg, a permutation matrix; ◮ XgA = AXg, and as Eσi ∈ A, I, J ⇒ XgEσi = EσiXg; ◮ By using this, one can show that Tr(EσiXg) ∈ Z; ◮ On the other hand, since Eσi ∈ A, I, J, we have: Tr(EσiXg) = αiTr(AXg) + βiTr(IXg) + γiTr(JXg)∈ Z ↓ ↓ ↓ ∈ Q, but often ∈ Z. ◮ Now: Tr(IXg) = #{v ∈ ∆ | v = vg}, Tr(AXg) = #{v ∈ ∆ | v − → vg}.

◮ G. Higman: a degree 57 Moore graph; ◮ C. Benson: finite GQs.

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SLIDE 26

The Higman-Benson observation

◮ G ≤ Aut(∆); ◮ g ∈ G: g → Xg, a permutation matrix; ◮ XgA = AXg, and as Eσi ∈ A, I, J ⇒ XgEσi = EσiXg; ◮ By using this, one can show that Tr(EσiXg) ∈ Z; ◮ On the other hand, since Eσi ∈ A, I, J, we have: Tr(EσiXg) = αiTr(AXg) + βiTr(IXg) + γiTr(JXg)∈ Z ↓ ↓ ↓ ∈ Q, but often ∈ Z. ◮ Now: Tr(IXg) = #{v ∈ ∆ | v = vg}, Tr(AXg) = #{v ∈ ∆ | v − → vg}.

◮ G. Higman: a degree 57 Moore graph; ◮ C. Benson: finite GQs.

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SLIDE 27

The Higman-Benson observation

◮ G ≤ Aut(∆); ◮ g ∈ G: g → Xg, a permutation matrix; ◮ XgA = AXg, and as Eσi ∈ A, I, J ⇒ XgEσi = EσiXg; ◮ By using this, one can show that Tr(EσiXg) ∈ Z; ◮ On the other hand, since Eσi ∈ A, I, J, we have: Tr(EσiXg) = αiTr(AXg) + βiTr(IXg) + γiTr(JXg)∈ Z ↓ ↓ ↓ ∈ Q, but often ∈ Z. ◮ Now: Tr(IXg) = #{v ∈ ∆ | v = vg}, Tr(AXg) = #{v ∈ ∆ | v − → vg}.

◮ G. Higman: a degree 57 Moore graph; ◮ C. Benson: finite GQs.

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SLIDE 28

Application to Moore Cayley digraphs

◮ ∆: a Moore Cayley digraph over G with degrees (r, z).

Recall: ∃ an odd positive c which divides (4z − 3)(4z + 5), and r = 1

4(c2 + 3).

◮ G ≤ Aut(∆) is a regular subgroup; ◮ The Higman-Benson observation shows that:

  • − 1

cTr(AXg) + c2−4c+4z+5 4c

  • ∈ Z

for any automorphism g ∈ G, where Tr(AXg) = #{v ∈ ∆ | v − → vg}. ◮ For certain orders n = |G| and |g|, this implies that Tr(AXg) is “too large” so that it contradicts: for every pair (x, y) of vertices of ∆, there is a unique trail x − → . . . − → y of length at most 2.

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SLIDE 29

Application to Moore Cayley digraphs

◮ ∆: a Moore Cayley digraph over G with degrees (r, z).

Recall: ∃ an odd positive c which divides (4z − 3)(4z + 5), and r = 1

4(c2 + 3).

◮ G ≤ Aut(∆) is a regular subgroup; ◮ The Higman-Benson observation shows that:

  • − 1

cTr(AXg) + c2−4c+4z+5 4c

  • ∈ Z

for any automorphism g ∈ G, where Tr(AXg) = #{v ∈ ∆ | v − → vg}. ◮ For certain orders n = |G| and |g|, this implies that Tr(AXg) is “too large” so that it contradicts: for every pair (x, y) of vertices of ∆, there is a unique trail x − → . . . − → y of length at most 2.

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SLIDE 30

Application to Moore Cayley digraphs

◮ ∆: a Moore Cayley digraph over G with degrees (r, z).

Recall: ∃ an odd positive c which divides (4z − 3)(4z + 5), and r = 1

4(c2 + 3).

◮ G ≤ Aut(∆) is a regular subgroup; ◮ The Higman-Benson observation shows that:

  • − 1

cTr(AXg) + c2−4c+4z+5 4c

  • ∈ Z

for any automorphism g ∈ G, where Tr(AXg) = #{v ∈ ∆ | v − → vg}. ◮ For certain orders n = |G| and |g|, this implies that Tr(AXg) is “too large” so that it contradicts: for every pair (x, y) of vertices of ∆, there is a unique trail x − → . . . − → y of length at most 2.

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SLIDE 31

Results

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SLIDE 32

Results

Although it does not cover all results by Erskine, the proof is computer-free.

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SLIDE 33

Question

150 = 3×Hoffman-Singleton + arcs?