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Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Big Ramsey degrees of the 3-uniform hypergraph Jan Hubi cka Computer Science Institute of Charles University Charles University Prague Joint work with Martin


  1. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Big Ramsey degrees of the 3-uniform hypergraph Jan Hubiˇ cka Computer Science Institute of Charles University Charles University Prague Joint work with Martin Balko, David Chodounský, Matˇ ej Koneˇ cný, Lluis Vena EUROCOMB 2019

  2. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey Theorem Theorem (Finite Ramsey Theorem, 1930) → ( n ) p ∀ n , p , k ≥ 1 ∃ N : N − k , 1 . � { 1 , 2 ,..., N } � → ( n ) p N − k , t : For every partition of into k classes (colours) there p � X � exists X ⊆ { 1 , 2 , . . . , N } , | X | = n such that belongs to at most t partitions p (if t = 1 it is monochromatic) For p = 2, n = 3, k = 2 put N = 6

  3. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey theorem for finite structures Denote by − → H l the class of all finite l -uniform hypergraphs endowed with linear order on vertices. Theorem (Nešetˇ ril-Rödl, 1977; Abramson-Harrington, 1978) → ( B ) A ∀ l ≥ 2 , A , B ∈− H l ∃ C ∈− H l : C − → → 2 , 1 .

  4. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey theorem for finite structures Denote by − → H l the class of all finite l -uniform hypergraphs endowed with linear order on vertices. Theorem (Nešetˇ ril-Rödl, 1977; Abramson-Harrington, 1978) → ( B ) A ∀ l ≥ 2 , A , B ∈− H l ∃ C ∈− H l : C − → → 2 , 1 . Theorem (Ramsey Theorem, 1930) → ( n ) p ∀ n , p , k ≥ 1 ∃ N : N − k , 1 .

  5. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey theorem for finite structures Denote by − → H l the class of all finite l -uniform hypergraphs endowed with linear order on vertices. Theorem (Nešetˇ ril-Rödl, 1977; Abramson-Harrington, 1978) → ( B ) A ∀ l ≥ 2 , A , B ∈− H l ∃ C ∈− H l : C − → → 2 , 1 . � B � is the set of all induced sub-hypergraphs of B isomorphic to A . A � C � � C � � � � → ( B ) A there exists � B C − k , t : For every k -colouring of B ∈ such that A B A has at most t colours.

  6. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey theorem for finite structures Denote by − → H l the class of all finite l -uniform hypergraphs endowed with linear order on vertices. Theorem (Nešetˇ ril-Rödl, 1977; Abramson-Harrington, 1978) → ( B ) A ∀ l ≥ 2 , A , B ∈− H l ∃ C ∈− H l : C − → → 2 , 1 . � B � is the set of all induced sub-hypergraphs of B isomorphic to A . A � C � � C � � � � → ( B ) A there exists � B C − k , t : For every k -colouring of B ∈ such that A B A has at most t colours. C A B

  7. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey theorem for finite structures Denote by − → H l the class of all finite l -uniform hypergraphs endowed with linear order on vertices. Theorem (Nešetˇ ril-Rödl, 1977; Abramson-Harrington, 1978) → ( B ) A ∀ l ≥ 2 , A , B ∈− H l ∃ C ∈− H l : C − → → 2 , 1 . � B � is the set of all induced sub-hypergraphs of B isomorphic to A . A � C � � C � � � � → ( B ) A there exists � B C − k , t : For every k -colouring of B ∈ such that A B A has at most t colours. C A B

  8. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Order is necessary B A

  9. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Order is necessary B A Vertices of C can be linearly ordered and copies of A colored: • red if middle vertex appear first. • blue otherwise.

  10. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Order is necessary B A Vertices of C can be linearly ordered and copies of A colored: • red if middle vertex appear first. • blue otherwise. Every ordering of 5-cycle contains minimal and maximal element. Consequently every 5-cycle in C with contain both blue and red copy of A .

  11. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Hypergraphs have finite small Ramsey degree Denote by H l the class of all finite l -uniform hypergraphs endowed with linear order on vertices. Theorem (Nešetˇ ril-Rödl, 1977; Abramson-Harrington, 1978) → ( B ) A ∀ l ≥ 2 , k ≥ 2 , A , B ∈H l ∃ C ∈H l : C − k , t ( A ) . where t ( A ) , the small Ramsey degree of A in H l , is the number of non-isomorphic ordering of vertices of A .

  12. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey classes Definition → ( B ) A A class C of finite L -structures is Ramsey iff ∀ A , B ∈C ∃ C ∈C : C − 2 , 1 .

  13. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey classes Definition → ( B ) A A class C of finite L -structures is Ramsey iff ∀ A , B ∈C ∃ C ∈C : C − 2 , 1 . Example (Linear orders — Ramsey Theorem, 1930) The class of all finite linear orders is a Ramsey class.

  14. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey classes Definition → ( B ) A A class C of finite L -structures is Ramsey iff ∀ A , B ∈C ∃ C ∈C : C − 2 , 1 . Example (Linear orders — Ramsey Theorem, 1930) The class of all finite linear orders is a Ramsey class. Example (Structures — Nešetˇ ril-Rödl, 76; Abramson-Harrington, 78) For every relational language L , − → Rel ( L ) is a Ramsey class.

  15. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey classes Definition → ( B ) A A class C of finite L -structures is Ramsey iff ∀ A , B ∈C ∃ C ∈C : C − 2 , 1 . Example (Linear orders — Ramsey Theorem, 1930) The class of all finite linear orders is a Ramsey class. Example (Structures — Nešetˇ ril-Rödl, 76; Abramson-Harrington, 78) For every relational language L , − → Rel ( L ) is a Ramsey class. Example (Partial orders — Nešetˇ ril-Rödl, 84; Paoli-Trotter-Walker, 85) The class of all finite partial orders with linear extension is Ramsey.

  16. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Ramsey classes Definition → ( B ) A A class C of finite L -structures is Ramsey iff ∀ A , B ∈C ∃ C ∈C : C − 2 , 1 . Example (Linear orders — Ramsey Theorem, 1930) The class of all finite linear orders is a Ramsey class. Example (Structures — Nešetˇ ril-Rödl, 76; Abramson-Harrington, 78) For every relational language L , − → Rel ( L ) is a Ramsey class. Example (Partial orders — Nešetˇ ril-Rödl, 84; Paoli-Trotter-Walker, 85) The class of all finite partial orders with linear extension is Ramsey. Example (Models — H.-Nešetˇ ril, 2016) For every language L , − − → Mod ( L ) is a Ramsey class.

  17. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Gower’s Ramsey Theorem Graham Rotschild Theorem: Parametric words Milliken tree theorem: C-relations Ramsey’s theorem: rationals Product arguments

  18. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Gower’s Ramsey Theorem Graham Rotschild Theorem: Parametric words Milliken tree theorem: C-relations Permutations Equivalences Ramsey’s theorem: rationals Product arguments

  19. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Gower’s Ramsey Theorem Graham Rotschild Theorem: Parametric words Boolean algebras Semilattices Milliken tree theorem: C-relations Permutations Interval graphs Cyclic orders Equivalences Ramsey’s theorem: rationals Product arguments Interpretations

  20. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Gower’s Ramsey Theorem Graham Rotschild Theorem: Parametric words Boolean algebras Semilattices Milliken tree theorem: C-relations Permutations Interval graphs Unary functions Cyclic orders Equivalences Ramsey’s theorem: rationals Product arguments Interpretations Adding unary functions

  21. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Gower’s Ramsey Theorem Graham Rotschild Theorem: Parametric words Boolean algebras Semilattices Milliken tree theorem: C-relations Permutations Interval graphs Unary functions Free amalgamation classes Cyclic orders Equivalences − → Ramsey’s theorem: rationals Rel( L ) Product arguments Interpretations Adding unary functions Partite construction

  22. Structural Ramsey Theory Big Ramsey Degrees of Q Random graph Random hypergraph Dual structural Ramsey theorem Gower’s Ramsey Theorem Graham Rotschild Theorem: Parametric words Boolean algebras Semilattices Partial Steiner systems Milliken tree theorem: C-relations Metric spaces Permutations Interval graphs Unary functions Free amalgamation classes Cyclic orders Equivalences − → Ramsey’s theorem: rationals Rel( L ) Product arguments Interpretations Adding unary functions Partite construction

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