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Splitting a stationary set: Is there another way? Arctic Set Theory - PowerPoint PPT Presentation

Splitting a stationary set: Is there another way? Arctic Set Theory Workshop 4, Kilpisj arvi, 22-Jan-2019 Assaf Rinot Bar-Ilan University, Israel 1 / 1 This talk is based on a joint work with Maxwell Levine. 2 / 1 Conventions


  1. Splitting a stationary set: Is there another way? Arctic Set Theory Workshop 4, Kilpisj¨ arvi, 22-Jan-2019 Assaf Rinot Bar-Ilan University, Israel 1 / 1

  2. This talk is based on a joint work with Maxwell Levine. 2 / 1

  3. Conventions ◮ κ denotes a regular uncountable cardinal; ◮ λ denotes an infinite cardinal; ◮ Reg( κ ) := { λ < κ | ℵ 0 ≤ cf( λ ) = λ } ; ◮ E κ λ := { α < κ | cf( α ) = λ } ; ◮ E κ ∕ = λ , E κ ≥ λ and E κ > λ are defined analogously; ◮ acc + ( A ) := { α < sup( A ) | sup( A ∩ α ) = α > 0 } . 3 / 1

  4. Partitioning a stationary set Theorem (Solovay, 1971) For every stationary S ⊆ κ , there exists a partition 〈 S i | i < κ 〉 of S into stationary sets. 4 / 1

  5. Partitioning a stationary set Theorem (Solovay, 1971) For every stationary S ⊆ κ , there exists a partition 〈 S i | i < κ 〉 of S into stationary sets. Solovay’s theorem has countless applications in Set Theory. For instance, it plays a role in the proof of strong negative partition relations of the form κ 󰃽 [ κ ] 2 κ , and variations of it are missing for the sought proof that successors of a singular cardinals cannot be J´ onsson. 4 / 1

  6. Partitioning a stationary set Theorem (Solovay, 1971) For every stationary S ⊆ κ , there exists a partition 〈 S i | i < κ 〉 of S into stationary sets. Solovay’s theorem has countless applications in Set Theory. You What is your favorite application? 4 / 1

  7. Variations of Solovay’s theorem Variation I (Brodsky-Rinot, 2019) For every θ ≤ κ and a sequence 〈 S i | i < θ 〉 of stationary subsets of κ , there exists a cofinal I ⊆ θ and pairwise disjoint stationary sets 〈 T i | i ∈ I 〉 such that T i ⊆ S i for all i ∈ I. 5 / 1

  8. Variations of Solovay’s theorem Variation I (Brodsky-Rinot, 2019) For every θ ≤ κ and a sequence 〈 S i | i < θ 〉 of stationary subsets of κ , there exists a cofinal I ⊆ θ and pairwise disjoint stationary sets 〈 T i | i ∈ I 〉 such that T i ⊆ S i for all i ∈ I. Variation II (Magidor?, 1970’s) If □ λ holds, then for every stationary S ⊆ λ + , there is a partition 〈 S i | i < λ + 〉 of S into stationary sets such that, for all i < λ + , S i does not reflect. 5 / 1

  9. Variations of Solovay’s theorem Definition For S ⊆ κ , let Tr( S ) := { β ∈ E κ > ω | S ∩ β is stationary in β } . Variation II (Magidor?, 1970’s) If □ λ holds, then for every stationary S ⊆ λ + , there is a partition 〈 S i | i < λ + 〉 of S into stationary sets such that, for all i < λ + , S i does not reflect (i.e., Tr( S i ) = ∅ ). 5 / 1

  10. Variations of Solovay’s theorem Variation II (Magidor?, 1970’s) If □ λ holds, then for every stationary S ⊆ λ + , there is a partition 〈 S i | i < λ + 〉 of S into stationary sets such that, for all i < λ + , S i does not reflect (i.e., Tr( S i ) = ∅ ). ↬ Nonreflecting stationary sets are very useful. To exemplify: 5 / 1

  11. Variations of Solovay’s theorem Variation II (Magidor?, 1970’s) If □ λ holds, then for every stationary S ⊆ λ + , there is a partition 〈 S i | i < λ + 〉 of S into stationary sets such that, for all i < λ + , S i does not reflect (i.e., Tr( S i ) = ∅ ). ↬ Nonreflecting stationary sets are very useful. To exemplify: Theorem (Shelah, 1991) If κ > ℵ 2 , and E κ ≥ℵ 2 admits a nonreflecting stationary set, then there exists a κ -cc poset whose square is not κ -cc. 5 / 1

  12. Variations of Solovay’s theorem Variation III (Brodsky-Rinot, 2019) If □ ( κ ) holds, then for every fat F ⊆ κ , there is a partition 〈 F i | i < κ 〉 of F into fat sets such that, for all i < j < κ , Tr( F i ) ∩ Tr( F j ) = ∅ . Variation II (Magidor?, 1970’s) If □ λ holds, then for every stationary S ⊆ λ + , there is a partition 〈 S i | i < λ + 〉 of S into stationary sets such that, for all i < λ + , S i does not reflect (i.e., Tr( S i ) = ∅ ). ↬ Nonreflecting stationary sets are very useful. To exemplify: Theorem (Shelah, 1991) If κ > ℵ 2 , and E κ ≥ℵ 2 admits a nonreflecting stationary set, then there exists a κ -cc poset whose square is not κ -cc. 5 / 1

  13. Variations of Solovay’s theorem Variation III (Brodsky-Rinot, 2019) If □ ( κ ) holds, then for every fat F ⊆ κ , there is a partition 〈 F i | i < κ 〉 of F into fat sets such that, for all i < j < κ , Tr( F i ) ∩ Tr( F j ) = ∅ . ↬ Partitions as above are sometime enough: Theorem (Rinot, 2014) If κ ≥ ℵ 2 , and □ ( κ ) holds, then there exists a κ -cc poset whose square is not κ -cc. ↬ Nonreflecting stationary sets are very useful. To exemplify: Theorem (Shelah, 1991) If κ > ℵ 2 , and E κ ≥ℵ 2 admits a nonreflecting stationary set, then there exists a κ -cc poset whose square is not κ -cc. 5 / 1

  14. Is there another way? As said, partitioning κ into stationary sets that pairwise do not simultaneously reflect is very useful, but is also somewhat wired into the standard procedure of the partition. 6 / 1

  15. Is there another way? As said, partitioning κ into stationary sets that pairwise do not simultaneously reflect is very useful, but is also somewhat wired into the standard procedure of the partition. Questions ◮ Is it possible to partition κ into two reflecting stationary sets? 6 / 1

  16. Is there another way? As said, partitioning κ into stationary sets that pairwise do not simultaneously reflect is very useful, but is also somewhat wired into the standard procedure of the partition. Questions ◮ Is it possible to partition κ into two reflecting stationary sets? ◮ Is it possible to partition κ into κ reflecting stationary sets? 6 / 1

  17. Is there another way? As said, partitioning κ into stationary sets that pairwise do not simultaneously reflect is very useful, but is also somewhat wired into the standard procedure of the partition. Questions ◮ Is it possible to partition κ into two reflecting stationary sets? ◮ Is it possible to partition κ into κ reflecting stationary sets? ◮ Is it possible to partition κ into 〈 S i | i < κ 〉 such that, for all i < j < κ , Tr( S i ) ∩ Tr( S j ) be stationary? 6 / 1

  18. Is there another way? As said, partitioning κ into stationary sets that pairwise do not simultaneously reflect is very useful, but is also somewhat wired into the standard procedure of the partition. Questions ◮ Is it possible to partition κ into two reflecting stationary sets? ◮ Is it possible to partition κ into κ reflecting stationary sets? ◮ Is it possible to partition κ into 〈 S i | i < κ 〉 such that, for all i < j < κ , Tr( S i ) ∩ Tr( S j ) be stationary? ◮ Is it possible to partition κ into 〈 S i | i < κ 〉 such that 󰁘 i < κ Tr( S i ) be stationary? 6 / 1

  19. Is there another way? As said, partitioning κ into stationary sets that pairwise do not simultaneously reflect is very useful, but is also somewhat wired into the standard procedure of the partition. Questions ◮ Is it possible to partition κ into two reflecting stationary sets? ◮ Is it possible to partition κ into κ reflecting stationary sets? ◮ Is it possible to partition κ into 〈 S i | i < κ 〉 such that, for all i < j < κ , Tr( S i ) ∩ Tr( S j ) be stationary? ◮ Is it possible to partition κ into 〈 S i | i < κ 〉 such that 󰁘 i < κ Tr( S i ) be stationary? Definition Π ( S , θ ) asserts the existence of a partition 〈 S i | i < θ 〉 of S such that 󰁘 i < θ Tr( S i ) is stationary. 6 / 1

  20. Is there another way? As said, partitioning κ into stationary sets that pairwise do not simultaneously reflect is very useful, but is also somewhat wired into the standard procedure of the partition. Questions ◮ Is it possible to partition κ into two reflecting stationary sets? ◮ Is it possible to partition κ into κ reflecting stationary sets? ◮ Is it possible to partition κ into 〈 S i | i < κ 〉 such that, for all i < j < κ , Tr( S i ) ∩ Tr( S j ) be stationary? ◮ Is it possible to partition κ into 〈 S i | i < κ 〉 such that 󰁘 i < κ Tr( S i ) be stationary? Definition Π ( S , θ , T ) asserts the existence of a partition 〈 S i | i < θ 〉 of S such that 󰁘 i < θ Tr( S i ) ∩ T is stationary. 6 / 1

  21. Singular cardinals combinatorics 7 / 1

  22. Scales Definition Suppose that λ is a singular cardinal, and 󰂔 λ = 〈 λ i | i < cf( λ ) 〉 is a strictly increasing sequence of regular cardinals, converging to λ . For any two functions f , g ∈ 󰁕 󰂔 λ and i < cf( λ ), we write f < i g to express that f ( j ) < g ( j ) whenever i ≤ j < cf( λ ). 8 / 1

  23. Scales Definition Suppose that λ is a singular cardinal, and 󰂔 λ = 〈 λ i | i < cf( λ ) 〉 is a strictly increasing sequence of regular cardinals, converging to λ . For any two functions f , g ∈ 󰁕 󰂔 λ and i < cf( λ ), we write f < i g to express that f ( j ) < g ( j ) whenever i ≤ j < cf( λ ). We write f < ∗ g to express that f < i g for some i < cf( λ ). 8 / 1

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