the chromatic index of strongly regular graphs willem h
play

THE CHROMATIC INDEX OF STRONGLY REGULAR GRAPHS Willem H. Haemers - PowerPoint PPT Presentation

THE CHROMATIC INDEX OF STRONGLY REGULAR GRAPHS Willem H. Haemers joint work with Sebastian M. Cioab a and Krystal Guo The chromatic index (edge-chromatic number) ( G ) of a graph G is the minimum number of colors needed to color the


  1. THE CHROMATIC INDEX OF STRONGLY REGULAR GRAPHS Willem H. Haemers joint work with Sebastian M. Cioab˘ a and Krystal Guo

  2. The chromatic index (edge-chromatic number) χ ′ ( G ) of a graph G is the minimum number of colors needed to color the edges of G such that intersecting edges have different colors ✈ ✔ ☎ ❉ ❚ ✔ ☎ ❉ ❚ ✔ ☎ ❉ ❚ ✔ ☎ ❉ ❚ ✔ ☎ ❉ ❚ ✔ ☎ ❉ ❚ ✔ ✈ ✈ ☎ ❉ ❚ ✔ ★ ❝ ❚ ❚ ✔ ★ ❝ ❚ ✔ ✔ ✈ ❚ ★★★★ ❝ ❚ ✔ ✏✏✏✏✏✏✏ ✔ P P ❝ ❚ P ✔ P ❝ P ❚ P ✈ ✈ ✔ ❝ P ❚ χ ′ ( G ) = 4

  3. The chromatic number χ ( G ) of a graph G is the minimum number of colors needed to color the vertices of G such that adjacent vertices have different colors ✈ ✔ ☎ ❚ ❉ ✔ ☎ ❉ ❚ ✔ ☎ ❉ ❚ ✔ ☎ ❉ ❚ ✔ ☎ ❉ ❚ ✔ ☎ ❉ ❚ ✔ ✈ ✈ ☎ ❉ ❚ ✔ ★ ❝ ❚ ❚ ✔ ★★ ❝ ❚ ✔ ✔ ✈ ❚ ❝ ❚ ✔ ✏✏✏✏✏✏✏ ✔ P ★★★ P ❝ ❚ P ✔ P ❝ P ❚ P ✈ ✈ ✔ ❝ P ❚ χ ( G ) = 3 χ ′ ( G ) = χ ( L ( G )), where L ( G ) is the line graph of G

  4. Theorem (Vizing) If ∆( G ) is the maximum degree in G then χ ′ ( G ) = ∆( G ) ( G is class 1), or χ ′ ( G ) = ∆( G ) + 1 ( G is class 2) Theorem (Holyer) To decide that a graph is class 1 is NP-complete

  5. From now on G is a k -regular graph of order n with eigenvalues k = λ 1 ≥ λ 2 ≥ · · · ≥ λ n

  6. • If G is class 1, and edge-colored with k colors, then each color class is a perfect matching (1-factor), and the partition into color classes is a 1-factorization • G is class 1 iff G is 1-factorable • If n is odd, then G is class 2 • The complete graph K n is class 1 iff n even • (K¨ onig) A regular bipartite graph is class 1 • The Petersen graph is class 2

  7.   0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 0 1 0 0 0     0 1 0 1 0 0 0 1 0 0     0 0 1 0 1 0 0 0 1 0     1 0 0 1 0 0 0 0 0 1     1 0 0 0 0 0 0 1 1 0     0 1 0 0 0 0 0 0 1 1      0 0 1 0 0 1 0 0 0 1      0 0 0 1 0 1 1 0 0 0   0 0 0 0 1 0 1 1 0 0 Petersen graph

  8.   0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 0 1 0 0 0     0 1 0 1 0 0 0 1 0 0     0 0 1 0 1 0 0 0 1 0     1 0 0 1 0 0 0 0 0 1     1 0 0 0 0 0 0 1 1 0     0 1 0 0 0 0 0 0 1 1      0 0 1 0 0 1 0 0 0 1      0 0 0 1 0 1 1 0 0 0   0 0 0 0 1 0 1 1 0 0 Petersen graph

  9.   0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 0 1 0 0 0     0 1 0 1 0 0 0 1 0 0     0 0 1 0 1 0 0 0 1 0     1 0 0 1 0 0 0 0 0 1     1 0 0 0 0 0 0 1 1 0     0 1 0 0 0 0 0 0 1 1      0 0 1 0 0 1 0 0 0 1      0 0 0 1 0 1 1 0 0 0   0 0 0 0 1 0 1 1 0 0 Petersen graph

  10.   0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 0 1 0 0 0     0 1 0 1 0 0 0 1 0 0     0 0 1 0 1 0 0 0 1 0     1 0 0 1 0 0 0 0 0 1     1 0 0 0 0 0 0 1 1 0     0 1 0 0 0 0 0 0 1 1      0 0 1 0 0 1 0 0 0 1      0 0 0 1 0 1 1 0 0 0   0 0 0 0 1 0 1 1 0 0 χ ′ (Petersen graph) = 4

  11. Conjecture (Dirac) If n is even and k ≥ 1 2 n , then G is class 1 Theorem (Csaba, K¨ uhn, Lo, Osthus, Treglown) True if n is large Theorem (Cariolaro, Hilton) True if k ≥ 0 . 823 n Theorem True if the complement of G is bipartite

  12. Theorem The complement of a regular bipartite graph with k ≥ 1 2 n is class 1 Proof If m = n / 2 is even then � J − I m � O � J − I m � � � N N O = + N ⊤ O N ⊤ J − I m J − I m O class 1 class 1 If m is odd then w.l.o.g. N i , i = 1 for i = 1 , . . . , m , and � J − I m � J − I m � � � � N O N − I m I m = + N ⊤ N ⊤ − I m J − I m O I m J − I m class 1

  13.   0 1 1 1 1 1 0 0 0 0 1 0 1 1 1 0 1 0 0 0     1 1 0 1 1 0 0 1 0 0     1 1 1 0 1 0 0 0 1 0     1 1 1 1 0 0 0 0 0 1     1 0 0 0 0 0 1 1 1 1     0 1 0 0 0 1 0 1 1 1      0 0 1 0 0 1 1 0 1 1      0 0 0 1 0 1 1 1 0 1   0 0 0 0 1 1 1 1 1 0

  14.   1 1 1 1 1 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0     1 1 1 1 1 0 0 0 0 0     1 1 1 1 1 0 0 0 0 0     1 1 1 1 1 0 0 0 0 0     0 0 0 0 0 1 1 1 1 1     0 0 0 0 0 1 1 1 1 1      0 0 0 0 0 1 1 1 1 1      0 0 0 0 0 1 1 1 1 1   0 0 0 0 0 1 1 1 1 1

  15.   1 1 1 1 1 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0     1 1 1 1 1 0 0 0 0 0     1 1 1 1 1 0 0 0 0 0     1 1 1 1 1 0 0 0 0 0     0 0 0 0 0 1 1 1 1 1     0 0 0 0 0 1 1 1 1 1      0 0 0 0 0 1 1 1 1 1      0 0 0 0 0 1 1 1 1 1   0 0 0 0 0 1 1 1 1 1

  16.   0 1 1 1 1 1 0 0 0 0 1 0 1 1 1 0 1 0 0 0     1 1 0 1 1 0 0 1 0 0     1 1 1 0 1 0 0 0 1 0     1 1 1 1 0 0 0 0 0 1     1 0 0 0 0 0 1 1 1 1     0 1 0 0 0 1 0 1 1 1      0 0 1 0 0 1 1 0 1 1      0 0 0 1 0 1 1 1 0 1   0 0 0 0 1 1 1 1 1 0

  17. Strongly regular graph SRG( n , k , λ, µ ) ✗✔ ✗✔ ✗✔ λ µ k ✖✕ ✖✕ ✖✕ � ❅ � ❅ � ❅ � ❅ ✉ ✉ ✉ ✉ ✉ � ❅ � ❅ Complement is an SRG( n , n − k − 1 , n − 2 k + µ − 2 , n − 2 k + λ ) The eigenvalues of an SRG( n , k , λ, µ ) are k = λ 1 ≥ λ 2 = · · · = λ m > λ m +1 = · · · = λ n k − µ = − λ 2 λ n , λ − µ = λ 2 + λ n An SRG G is imprimitive if G = mK ℓ (class 1 iff ℓ is even), or G = K ℓ,...,ℓ (class 1 iff n is even); otherwise G is primitive

  18. Why SRGs? Suitable for eigenvalue techniques Worked well for the chromatic number Theorem (WHH) • For a given number χ , there exist finitely many primitive SRGs with chromatic number χ • The SRGs with chromatic number ≤ 4 are known Question (Rosa) Whan can be said about the chromatic index of SRGs Can eigenvalues be helpful for the chromatic index?

  19. Theorem (Brouwer and WHH) If n is even, G has at least ⌊ ( k + 1 − λ 2 ) / 2 ⌋ edge-disjoint perfect matchings Corollary Every connected SRG of even order has a perfect matching An easy to handle sufficient condition for being class 2, is the absence of a perfect matching. This condition will never work for a connected SRG of even order

  20. Theorem (Hoffman) χ ( G ) ≥ 1 − k /λ n Equality implies that all color classes have equal cardinality, and that each vertex has exactly − λ n neighbors in each other color class Theorem If χ ( G ) = 1 − k /λ n and even, then G is class 1, and so is its complement (provided G � = K ℓ,...,ℓ )

  21. Proof     O N 1 , 2 N 1 , 3 N 1 , 4 O N 1 , 2 O O N 2 , 1 O N 2 , 3 N 2 , 4 N 2 , 1 O O O      =  +     N 3 , 1 N 3 , 2 O N 3 , 4 O O O N 3 , 4   N 4 , 1 N 4 , 2 N 4 , 3 O O O N 4 , 3 O

  22. Proof     O N 1 , 2 N 1 , 3 N 1 , 4 O N 1 , 2 O O N 2 , 1 O N 2 , 3 N 2 , 4 N 2 , 1 O O O      =  +     N 3 , 1 N 3 , 2 O N 3 , 4 O O O N 3 , 4   N 4 , 1 N 4 , 2 N 4 , 3 O O O N 4 , 3 O class 1     O O N 1 , 3 O O O O N 1 , 4 O O O N 2 , 4 O O N 2 , 3 O      +     N 3 , 1 O O O O N 3 , 2 O O    O N 4 , 2 O O N 4 , 1 O O O class 1 class 1

  23. Complement  J - I N 1 , 2 N 1 , 3 N 1 , 4   J - I N 1 , 2 O O  N 2 , 1 J - I N 2 , 3 N 2 , 4 N 2 , 1 J - I O O      =  +     N 3 , 1 N 3 , 2 J - I N 3 , 4 O O J - I N 3 , 4   N 4 , 1 N 4 , 2 N 4 , 3 J - I O O N 4 , 3 J - I class 1     O O N 1 , 3 O O O O N 1 , 4 O O O N 2 , 4 O O N 2 , 3 O      +     N 3 , 1 O O O O N 3 , 2 O O    O N 4 , 2 O O N 4 , 1 O O O class 1 class 1

  24. Corollary The Latin square graphs of even order, and their complements are class 1 The Latin square graph LS ( m , t ) is defined on the m 2 entries of t ≥ 0 MOLS of order m , where two vertices are adjacent if they have the same row, column, or symbol in one of the squares LS ( m , t ) has parameters ( m 2 , ( t + 2)( m − 1) , m − 2 + t ( t + 1) , ( t + 1)( t + 2)) , and is primitive if 0 ≤ t < m − 2

  25. Theorem (Ferber and Jain) For every ε > 0 there exist integers k 0 and n 0 , such that if k > k 0 , n > n 0 , n even, and max { λ 2 , − λ n } < k 1 − ε then χ ′ ( G ) = k Corollary There exists an integer n 0 such that every primitive SRG of even order n > n 0 , which is not the block graph of a Steiner 2-design or its complement, is class 1

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend