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Spectral Properties of Simplicial Rook Graphs Sebastian Cioab a Willem Haemers Jason Vermette University of Delaware, USA Tilburg University, Netherlands Modern Trends in Algebraic Graph Theory June 2, 2014 Cioab a, Haemers, Vermette


  1. Spectral Properties of Simplicial Rook Graphs Sebastian Cioab˘ a Willem Haemers Jason Vermette University of Delaware, USA Tilburg University, Netherlands Modern Trends in Algebraic Graph Theory June 2, 2014 Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  2. Definitions Definition (Simplicial Rook Graph) The simplicial rook graph SR ( d , n ) is the graph whose vertices are lattice points in the n th dilate of the standard simplex in R d , with two vertices adjacent if and only if they differ by a multiple of e i − e j for some pair i , j . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  3. Definitions Definition (Simplicial Rook Graph) The simplicial rook graph SR ( d , n ) is the graph whose vertices are lattice points in the n th dilate of the standard simplex in R d , with two vertices adjacent if and only if they differ by a multiple of e i − e j for some pair i , j . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  4. Definitions Definition (Simplicial Rook Graph) The simplicial rook graph SR ( d , n ) is the graph whose vertices are lattice points in the n th dilate of the standard simplex in R d , with two vertices adjacent if and only if they differ by a multiple of e i − e j for some pair i , j . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  5. Definitions Definition (Simplicial Rook Graph) The simplicial rook graph SR ( d , n ) is the graph whose vertices are lattice points in the n th dilate of the standard simplex in R d , with two vertices adjacent if and only if they differ by a multiple of e i − e j for some pair i , j . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  6. Definitions Definition (Simplicial Rook Graph) The simplicial rook graph SR ( d , n ) is the graph whose vertices are the set V ( d , n ) = { ( x 1 , x 2 , . . . , x d ) | 0 ≤ x i ≤ n , � d i =1 x i = n } , with two vertices adjacent if and only if they differ in exactly two coordinates. Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  7. Definitions Definition (Simplicial Rook Graph) The simplicial rook graph SR ( d , n ) is the graph whose vertices are the set V ( d , n ) = { ( x 1 , x 2 , . . . , x d ) | 0 ≤ x i ≤ n , � d i =1 x i = n } , with two vertices adjacent if and only if they differ in exactly two coordinates. Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  8. Definitions Definition (Simplicial Rook Graph) The simplicial rook graph SR ( d , n ) is the graph whose vertices are the set V ( d , n ) = { ( x 1 , x 2 , . . . , x d ) | 0 ≤ x i ≤ n , � d i =1 x i = n } , with two vertices adjacent if and only if they differ in exactly two coordinates. Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  9. SR ( d , n ) for small d or n SR (2 , n ) ∼ = K n +1 , since V (2 , n ) = { ( x , y ) | x , y ≥ 0 , x + y = n } . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  10. SR ( d , n ) for small d or n SR (2 , n ) ∼ = K n +1 , since V (2 , n ) = { ( x , y ) | x , y ≥ 0 , x + y = n } . SR ( d , 1) ∼ = K d , since V ( d , 1) = { e 1 , . . . , e d } . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  11. SR ( d , n ) for small d or n SR ( d , 2) ∼ = J ( d + 1 , 2) ∼ = T ( d + 1). Why? Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  12. SR ( d , n ) for small d or n SR ( d , 2) ∼ = J ( d + 1 , 2) ∼ = T ( d + 1). Why? Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  13. Martin and Wagner’s Results � n + d − 1 � SR ( d , n ) has vertices. d − 1 SR ( d , n ) is regular of degree n ( d − 1). Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  14. Martin and Wagner’s Results � n + d − 1 � SR ( d , n ) has vertices. d − 1 SR ( d , n ) is regular of degree n ( d − 1). � d � d � � When n ≥ , the smallest eigenvalue is − with 2 2 � n − ( d − 1 2 ) � multiplicity at least . d − 1 Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  15. Martin and Wagner’s Results � n + d − 1 � SR ( d , n ) has vertices. d − 1 SR ( d , n ) is regular of degree n ( d − 1). � d � d � � When n ≥ , the smallest eigenvalue is − with 2 2 � n − ( d − 1 2 ) � multiplicity at least . d − 1 � d � When n < , the smallest eigenvalue in all known cases is 2 − n with multicity the Mahonian number M ( d , n ). Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  16. Martin and Wagner’s Results The spectrum of SR (3 , n ) is: If n = 2 m + 1: If n = 2 m : Eigenvalue Multiplicity Eigenvalue Multiplicity � 2 m � 2 m − 1 � � -3 -3 2 2 -2,-1,. . . , m − 3 3 -2,-1,. . . , m − 4 3 m − 1 2 m − 3 2 m ,. . . ,2 m − 1 3 m − 1,. . . ,2 m − 2 3 2 n 1 2 n 1 Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  17. Martin and Wagner’s Results The spectrum of SR (3 , n ) is: If n = 2 m + 1: If n = 2 m : Eigenvalue Multiplicity Eigenvalue Multiplicity � 2 m � 2 m − 1 � � -3 -3 2 2 -2,-1,. . . , m − 3 3 -2,-1,. . . , m − 4 3 m − 1 2 m − 3 2 m ,. . . ,2 m − 1 3 m − 1,. . . ,2 m − 2 3 2 n 1 2 n 1 When d = 4, the spectrum is integral for n ≤ 30. When d = 5, the spectrum is integral for n ≤ 25. Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  18. Martin and Wagner’s Results The spectrum of SR (3 , n ) is: If n = 2 m + 1: If n = 2 m : Eigenvalue Multiplicity Eigenvalue Multiplicity � 2 m � 2 m − 1 � � -3 -3 2 2 -2,-1,. . . , m − 3 3 -2,-1,. . . , m − 4 3 m − 1 2 m − 3 2 m ,. . . ,2 m − 1 3 m − 1,. . . ,2 m − 2 3 2 n 1 2 n 1 When d = 4, the spectrum is integral for n ≤ 30. When d = 5, the spectrum is integral for n ≤ 25. Martin and Wagner conjecture that the spectrum of SR ( d , n ) is always integral. Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  19. Partial Spectrum of SR ( d , n ) For fixed d , n , we partition V ( d , n ) into subsets V 1 , V 2 , . . . where V i is the set of all vertices with exactly i nonzero coordinates. This partition is equitable. Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  20. Partial Spectrum of SR ( d , n ) For fixed d , n , we partition V ( d , n ) into subsets V 1 , V 2 , . . . where V i is the set of all vertices with exactly i nonzero coordinates. This partition is equitable. The quotient matrix of this partition is   a 1 b 1 0 · · · 0 . ... .   c 2 a 2 b 2 .     ... ... Q = ,   0 c 3 0   .  ... ...  .   . a m − 1 b m − 1   0 · · · 0 c m a m where a i = ( n − i )( i − 1) + i ( d − i ), b i = ( n − i )( d − i ), c i = i ( i − 1), and m = min { n , d } . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  21. Partial Spectrum of SR ( d , n ) Every eigenvalue of a quotient matrix of an equitable partition of a graph is also an eigenvalue of the adjacency matrix, so: Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  22. Partial Spectrum of SR ( d , n ) Every eigenvalue of a quotient matrix of an equitable partition of a graph is also an eigenvalue of the adjacency matrix, so: Proposition For fixed n , d, let m = min { n , d } . For each i ∈ [ m ] , µ i = ( d − i ) n − ( i − 1)( d − ( i − 1)) is an eigenvalue of SR ( d , n ) . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  23. Partial Spectrum of SR ( d , n ) Every eigenvalue of a quotient matrix of an equitable partition of a graph is also an eigenvalue of the adjacency matrix, so: Proposition For fixed n , d, let m = min { n , d } . For each i ∈ [ m ] , µ i = ( d − i ) n − ( i − 1)( d − ( i − 1)) is an eigenvalue of SR ( d , n ) . The proof includes the eigenvectors of Q , which can be extended to eigenvectors of SR ( d , n ). Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  24. Diameter of SR ( d , n ) Proposition For any fixed n , d, the diameter of SR ( d , n ) is min { d − 1 , n } . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  25. Diameter of SR ( d , n ) Proposition For any fixed n , d, the diameter of SR ( d , n ) is min { d − 1 , n } . Key facts for the proof: The diameter is trivially at most n , and (if n < d ) the vertices ( n , 0 , . . . , 0) and (0 , 1 , . . . , 1 , 0 , . . . , 0) are at distance n . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  26. Diameter of SR ( d , n ) Proposition For any fixed n , d, the diameter of SR ( d , n ) is min { d − 1 , n } . Key facts for the proof: The diameter is trivially at most n , and (if n < d ) the vertices ( n , 0 , . . . , 0) and (0 , 1 , . . . , 1 , 0 , . . . , 0) are at distance n . A vertex in V i only has neighbors in V i − 1 , V i , and V i +1 , so the diameter is at least d − 1 if n ≥ d . Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  27. Clique Number of SR ( d , n ) Proposition For any fixed n , d, the clique number of SR ( d , n ) is max { d , n + 1 } . The set V 1 is a clique of size d , while the set { ( x , y , 0 , . . . , 0) | x , y ≥ 0 , x + y = n } is a clique of size n + 1. Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

  28. Clique Number of SR ( d , n ) Proposition For any fixed n , d, the clique number of SR ( d , n ) is max { d , n + 1 } . The set V 1 is a clique of size d , while the set { ( x , y , 0 , . . . , 0) | x , y ≥ 0 , x + y = n } is a clique of size n + 1. There are only two types of maximal cliques in SR ( d , n ): Cioab˘ a, Haemers, Vermette Simplicial Rook Graphs

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