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


  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

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

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

  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.

  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.

  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.

  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.

  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 4 ( c 2 + 3). c divides (4 z − 3)(4 z + 5) and r = 1 Admissible values of r : 1 , 3 , 7 , 13 , 21 , . . . , For given r : infinitely many admissible values of z .

  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 4 ( c 2 + 3). c divides (4 z − 3)(4 z + 5) and r = 1 Admissible values of r : 1 , 3 , 7 , 13 , 21 , . . . , For given r : infinitely many admissible values of z .

  10. 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.

  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.

  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.

  13. Cayley digraphs Given a finite group G and a subset S ⊆ G \ { 1 } , with S = S 1 ∪ S 2 , S 1 = S − 1 1 , and S 2 ∩ 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 = | S 1 | ; ◮ the directed degree z = | S 2 | . 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 ( s 1 , s 2 ) ∈ S × S such that g = s 1 s 2 ; ◮ for g �∈ S , ∃ ! a pair ( s 1 , s 2 ) ∈ S × S such that g = s 1 s 2 .

  14. Cayley digraphs Given a finite group G and a subset S ⊆ G \ { 1 } , with S = S 1 ∪ S 2 , S 1 = S − 1 1 , and S 2 ∩ 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 = | S 1 | ; ◮ the directed degree z = | S 2 | . 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 ( s 1 , s 2 ) ∈ S × S such that g = s 1 s 2 ; ◮ for g �∈ S , ∃ ! a pair ( s 1 , s 2 ) ∈ S × S such that g = s 1 s 2 .

  15. Cayley digraphs Given a finite group G and a subset S ⊆ G \ { 1 } , with S = S 1 ∪ S 2 , S 1 = S − 1 1 , and S 2 ∩ 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 = | S 1 | ; ◮ the directed degree z = | S 2 | . 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 ( s 1 , s 2 ) ∈ S × S such that g = s 1 s 2 ; ◮ for g �∈ S , ∃ ! a pair ( s 1 , s 2 ) ∈ S × S such that g = s 1 s 2 .

  16. Moore Cayley digraphs on at most 486 vertices, 1

  17. Moore Cayley digraphs on at most 486 vertices, 2

  18. The adjacency algebra of ∆ The adjacency matrix A = A (∆) ∈ R V × V : � 1 if x → y, ( A ) 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 + A 2 = r I + J , and JA = AJ = k J , so A is diagonalizable with 3 eigenspaces with eigenvalues k = r + z , and σ 1 , σ 2 ∈ Z , which are expressed in n, r, z . The projection matrix E σ i onto the (right) σ i -eigenspace: E σ i ∈ � A , I , J � . Duval (1988); Jørgensen (2003); Godsil, Hobart, Martin (2007)

  19. The adjacency algebra of ∆ The adjacency matrix A = A (∆) ∈ R V × V : � 1 if x → y, ( A ) 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 + A 2 = r I + J , and JA = AJ = k J , so A is diagonalizable with 3 eigenspaces with eigenvalues k = r + z , and σ 1 , σ 2 ∈ Z , which are expressed in n, r, z . The projection matrix E σ i onto the (right) σ i -eigenspace: E σ i ∈ � A , I , J � . Duval (1988); Jørgensen (2003); Godsil, Hobart, Martin (2007)

  20. The adjacency algebra of ∆ The adjacency matrix A = A (∆) ∈ R V × V : � 1 if x → y, ( A ) 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 + A 2 = r I + J , and JA = AJ = k J , so A is diagonalizable with 3 eigenspaces with eigenvalues k = r + z , and σ 1 , σ 2 ∈ Z , which are expressed in n, r, z . The projection matrix E σ i onto the (right) σ i -eigenspace: E σ i ∈ � A , I , J � . Duval (1988); Jørgensen (2003); Godsil, Hobart, Martin (2007)

  21. The Higman-Benson observation ◮ G ≤ Aut(∆); ◮ g ∈ G : g �→ X g , a permutation matrix; ◮ X g A = AX g , and as E σ i ∈ � A , I , J � ⇒ X g E σ i = E σ i X g ; ◮ By using this, one can show that Tr( E σ i X g ) ∈ Z ; ◮ On the other hand, since E σ i ∈ � A , I , J � , we have: Tr( E σ i X g ) = α i Tr( AX g ) + β i Tr( IX g ) + γ i Tr( JX g ) ∈ Z ↓ ↓ ↓ ∈ Q , but often �∈ Z . ◮ Now: Tr( IX g ) = # { v ∈ ∆ | v = v g } , → v g } . Tr( AX g ) = # { v ∈ ∆ | v − ◮ G. Higman: a degree 57 Moore graph; ◮ C. Benson: finite GQs.

  22. The Higman-Benson observation ◮ G ≤ Aut(∆); ◮ g ∈ G : g �→ X g , a permutation matrix; ◮ X g A = AX g , and as E σ i ∈ � A , I , J � ⇒ X g E σ i = E σ i X g ; ◮ By using this, one can show that Tr( E σ i X g ) ∈ Z ; ◮ On the other hand, since E σ i ∈ � A , I , J � , we have: Tr( E σ i X g ) = α i Tr( AX g ) + β i Tr( IX g ) + γ i Tr( JX g ) ∈ Z ↓ ↓ ↓ ∈ Q , but often �∈ Z . ◮ Now: Tr( IX g ) = # { v ∈ ∆ | v = v g } , → v g } . Tr( AX g ) = # { v ∈ ∆ | v − ◮ G. Higman: a degree 57 Moore graph; ◮ C. Benson: finite GQs.

  23. The Higman-Benson observation ◮ G ≤ Aut(∆); ◮ g ∈ G : g �→ X g , a permutation matrix; ◮ X g A = AX g , and as E σ i ∈ � A , I , J � ⇒ X g E σ i = E σ i X g ; ◮ By using this, one can show that Tr( E σ i X g ) ∈ Z ; ◮ On the other hand, since E σ i ∈ � A , I , J � , we have: Tr( E σ i X g ) = α i Tr( AX g ) + β i Tr( IX g ) + γ i Tr( JX g ) ∈ Z ↓ ↓ ↓ ∈ Q , but often �∈ Z . ◮ Now: Tr( IX g ) = # { v ∈ ∆ | v = v g } , → v g } . Tr( AX g ) = # { v ∈ ∆ | v − ◮ G. Higman: a degree 57 Moore graph; ◮ C. Benson: finite GQs.

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