Maximal objects in the projective hierarchy J org Brendle Kobe - - PowerPoint PPT Presentation

maximal objects in the projective hierarchy
SMART_READER_LITE
LIVE PREVIEW

Maximal objects in the projective hierarchy J org Brendle Kobe - - PowerPoint PPT Presentation

Maximal objects in the projective hierarchy J org Brendle Kobe University Sant Bernat, November 18, 2018 Reflections on Set Theoretic Reflection In celebration of Joan Bagarias 60th birthday J org Brendle Maximal objects in the


slide-1
SLIDE 1

Maximal objects in the projective hierarchy

  • rg Brendle

Kobe University

Sant Bernat, November 18, 2018 Reflections on Set Theoretic Reflection In celebration of Joan Bagaria’s 60th birthday

  • rg Brendle

Maximal objects in the projective hierarchy

slide-2
SLIDE 2

Objects with maximality properties

Sets of reals with maximality properties like

  • rg Brendle

Maximal objects in the projective hierarchy

slide-3
SLIDE 3

Objects with maximality properties

Sets of reals with maximality properties like ultrafilters on ω

  • rg Brendle

Maximal objects in the projective hierarchy

slide-4
SLIDE 4

Objects with maximality properties

Sets of reals with maximality properties like ultrafilters on ω maximal almost disjoint families (mad families)

  • rg Brendle

Maximal objects in the projective hierarchy

slide-5
SLIDE 5

Objects with maximality properties

Sets of reals with maximality properties like ultrafilters on ω maximal almost disjoint families (mad families) maximal independent families (mifs)

  • rg Brendle

Maximal objects in the projective hierarchy

slide-6
SLIDE 6

Objects with maximality properties

Sets of reals with maximality properties like ultrafilters on ω maximal almost disjoint families (mad families) maximal independent families (mifs) towers

  • rg Brendle

Maximal objects in the projective hierarchy

slide-7
SLIDE 7

Objects with maximality properties

Sets of reals with maximality properties like ultrafilters on ω maximal almost disjoint families (mad families) maximal independent families (mifs) towers Typically need fragment of AC for construction of such objects,

  • rg Brendle

Maximal objects in the projective hierarchy

slide-8
SLIDE 8

Objects with maximality properties

Sets of reals with maximality properties like ultrafilters on ω maximal almost disjoint families (mad families) maximal independent families (mifs) towers Typically need fragment of AC for construction of such objects, i.e., they cannot be very definable.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-9
SLIDE 9

Mad families: basic results

A ⊆ [ω]ω is an almost disjoint (a.d.) family if |A ∩ B| < ω for A = B from A

  • rg Brendle

Maximal objects in the projective hierarchy

slide-10
SLIDE 10

Mad families: basic results

A ⊆ [ω]ω is an almost disjoint (a.d.) family if |A ∩ B| < ω for A = B from A A ⊆ [ω]ω is mad if A is a.d. and maximal with this property, i.e., for all X ∈ [ω]ω there is A ∈ A such that |X ∩ A| = ω

  • rg Brendle

Maximal objects in the projective hierarchy

slide-11
SLIDE 11

Mad families: basic results

A ⊆ [ω]ω is an almost disjoint (a.d.) family if |A ∩ B| < ω for A = B from A A ⊆ [ω]ω is mad if A is a.d. and maximal with this property, i.e., for all X ∈ [ω]ω there is A ∈ A such that |X ∩ A| = ω

  • Fact. A Σ1

n mad is also ∆1 n.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-12
SLIDE 12

Mad families: basic results

A ⊆ [ω]ω is an almost disjoint (a.d.) family if |A ∩ B| < ω for A = B from A A ⊆ [ω]ω is mad if A is a.d. and maximal with this property, i.e., for all X ∈ [ω]ω there is A ∈ A such that |X ∩ A| = ω

  • Fact. A Σ1

n mad is also ∆1 n.

Theorem 1 (T¨

  • rnquist ’12)

If there is a Σ1

2 mad then there is a Π1 1 mad.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-13
SLIDE 13

Mad families: basic results

A ⊆ [ω]ω is an almost disjoint (a.d.) family if |A ∩ B| < ω for A = B from A A ⊆ [ω]ω is mad if A is a.d. and maximal with this property, i.e., for all X ∈ [ω]ω there is A ∈ A such that |X ∩ A| = ω

  • Fact. A Σ1

n mad is also ∆1 n.

Theorem 1 (T¨

  • rnquist ’12)

If there is a Σ1

2 mad then there is a Π1 1 mad.

Theorem 2 (Mathias ’70’s) There are no Σ1

1 mad families.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-14
SLIDE 14

Mad families: basic results

A ⊆ [ω]ω is an almost disjoint (a.d.) family if |A ∩ B| < ω for A = B from A A ⊆ [ω]ω is mad if A is a.d. and maximal with this property, i.e., for all X ∈ [ω]ω there is A ∈ A such that |X ∩ A| = ω

  • Fact. A Σ1

n mad is also ∆1 n.

Theorem 1 (T¨

  • rnquist ’12)

If there is a Σ1

2 mad then there is a Π1 1 mad.

Theorem 2 (Mathias ’70’s) There are no Σ1

1 mad families.

Theorem 3 (Miller ∼’90) There are Π1

1 mads in L.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-15
SLIDE 15

Mad families: what if CH fails?

Theorem 4 (Kunen ’70’s + Folklore) In the Cohen model (over V = L) there is a Σ1

2 and thus Π1 1 mad.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-16
SLIDE 16

Mad families: what if CH fails?

Theorem 4 (Kunen ’70’s + Folklore) In the Cohen model (over V = L) there is a Σ1

2 and thus Π1 1 mad.

In particular, the existence of Π1

1 mads is consistent with c > ω1.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-17
SLIDE 17

Mad families: what if CH fails?

Theorem 4 (Kunen ’70’s + Folklore) In the Cohen model (over V = L) there is a Σ1

2 and thus Π1 1 mad.

In particular, the existence of Π1

1 mads is consistent with c > ω1.

Kunen: Under CH, there is a mad family which survives arbitrary Cohen extensions.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-18
SLIDE 18

Mad families: what if CH fails?

Theorem 4 (Kunen ’70’s + Folklore) In the Cohen model (over V = L) there is a Σ1

2 and thus Π1 1 mad.

In particular, the existence of Π1

1 mads is consistent with c > ω1.

Kunen: Under CH, there is a mad family which survives arbitrary Cohen extensions. For many forcing notions P there are P-indestructible mads (B.-Yatabe).

  • rg Brendle

Maximal objects in the projective hierarchy

slide-19
SLIDE 19

Mad families: what if CH fails?

Theorem 4 (Kunen ’70’s + Folklore) In the Cohen model (over V = L) there is a Σ1

2 and thus Π1 1 mad.

In particular, the existence of Π1

1 mads is consistent with c > ω1.

Kunen: Under CH, there is a mad family which survives arbitrary Cohen extensions. For many forcing notions P there are P-indestructible mads (B.-Yatabe). Thus: many ¬CH models with Π1

1 mads.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-20
SLIDE 20

Mad families: what if CH fails?

Theorem 4 (Kunen ’70’s + Folklore) In the Cohen model (over V = L) there is a Σ1

2 and thus Π1 1 mad.

In particular, the existence of Π1

1 mads is consistent with c > ω1.

Kunen: Under CH, there is a mad family which survives arbitrary Cohen extensions. For many forcing notions P there are P-indestructible mads (B.-Yatabe). Thus: many ¬CH models with Π1

1 mads.

Adding a dominating real destroys all ground model mads.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-21
SLIDE 21

Mad families: what if CH fails?

Theorem 4 (Kunen ’70’s + Folklore) In the Cohen model (over V = L) there is a Σ1

2 and thus Π1 1 mad.

In particular, the existence of Π1

1 mads is consistent with c > ω1.

Kunen: Under CH, there is a mad family which survives arbitrary Cohen extensions. For many forcing notions P there are P-indestructible mads (B.-Yatabe). Thus: many ¬CH models with Π1

1 mads.

Adding a dominating real destroys all ground model mads. Can we have b > ω1 together with Π1

1 mads?

  • rg Brendle

Maximal objects in the projective hierarchy

slide-22
SLIDE 22

Mad families: some cardinals

b := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∃∞n (g(n) < f (n))} the unbounding number

  • rg Brendle

Maximal objects in the projective hierarchy

slide-23
SLIDE 23

Mad families: some cardinals

b := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∃∞n (g(n) < f (n))} the unbounding number a := min{|A| : A ⊆ [ω]ω is an infinite mad family} the almost disjointness number

  • rg Brendle

Maximal objects in the projective hierarchy

slide-24
SLIDE 24

Mad families: some cardinals

b := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∃∞n (g(n) < f (n))} the unbounding number a := min{|A| : A ⊆ [ω]ω is an infinite mad family} the almost disjointness number aclosed := min{|F| : F infinite family of closed sets, F mad}

  • rg Brendle

Maximal objects in the projective hierarchy

slide-25
SLIDE 25

Mad families: some cardinals

b := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∃∞n (g(n) < f (n))} the unbounding number a := min{|A| : A ⊆ [ω]ω is an infinite mad family} the almost disjointness number aclosed := min{|F| : F infinite family of closed sets, F mad} aBorel := min{|F| : F infinite family of Borel sets, F mad}

  • rg Brendle

Maximal objects in the projective hierarchy

slide-26
SLIDE 26

Mad families: some cardinals

b := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∃∞n (g(n) < f (n))} the unbounding number a := min{|A| : A ⊆ [ω]ω is an infinite mad family} the almost disjointness number aclosed := min{|F| : F infinite family of closed sets, F mad} aBorel := min{|F| : F infinite family of Borel sets, F mad}

  • Fact. ω1 ≤ b ≤ a ≤ c and ω1 ≤ aBorel ≤ aclosed ≤ a

  • rg Brendle

Maximal objects in the projective hierarchy

slide-27
SLIDE 27

Mad families: some cardinals

b := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∃∞n (g(n) < f (n))} the unbounding number a := min{|A| : A ⊆ [ω]ω is an infinite mad family} the almost disjointness number aclosed := min{|F| : F infinite family of closed sets, F mad} aBorel := min{|F| : F infinite family of Borel sets, F mad}

  • Fact. ω1 ≤ b ≤ a ≤ c and ω1 ≤ aBorel ≤ aclosed ≤ a
  • Fact. If aBorel > ω1, then there are no Σ1

2 mads.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-28
SLIDE 28

Mad families: some cardinals

b := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∃∞n (g(n) < f (n))} the unbounding number a := min{|A| : A ⊆ [ω]ω is an infinite mad family} the almost disjointness number aclosed := min{|F| : F infinite family of closed sets, F mad} aBorel := min{|F| : F infinite family of Borel sets, F mad}

  • Fact. ω1 ≤ b ≤ a ≤ c and ω1 ≤ aBorel ≤ aclosed ≤ a
  • Fact. If aBorel > ω1, then there are no Σ1

2 mads.

Can we have aBorel < b?

  • rg Brendle

Maximal objects in the projective hierarchy

slide-29
SLIDE 29

Mad families: a combinatorial principle

d := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∀∞n (g(n) < f (n))} the dominating number

  • rg Brendle

Maximal objects in the projective hierarchy

slide-30
SLIDE 30

Mad families: a combinatorial principle

d := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∀∞n (g(n) < f (n))} the dominating number s := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (|X ∩ Y | = |Y \ X| = ω)} the splitting number

  • rg Brendle

Maximal objects in the projective hierarchy

slide-31
SLIDE 31

Mad families: a combinatorial principle

d := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∀∞n (g(n) < f (n))} the dominating number s := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (|X ∩ Y | = |Y \ X| = ω)} the splitting number

  • Fact. b ≤ d ≤ c and ω1 ≤ s ≤ d

  • rg Brendle

Maximal objects in the projective hierarchy

slide-32
SLIDE 32

Mad families: a combinatorial principle

d := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∀∞n (g(n) < f (n))} the dominating number s := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (|X ∩ Y | = |Y \ X| = ω)} the splitting number

  • Fact. b ≤ d ≤ c and ω1 ≤ s ≤ d

Say ¯ A = (Aα,n : α < ω1, n < ω) is a tail-splitting sequence of partitions (tssp) if the Aα,n, n ∈ ω, are pairwise disjoint and for all B ∈ [ω]ω there is α < ω1 such that all Aβ,n, β ≥ α, n ∈ ω, split B.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-33
SLIDE 33

Mad families: a combinatorial principle

d := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∀∞n (g(n) < f (n))} the dominating number s := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (|X ∩ Y | = |Y \ X| = ω)} the splitting number

  • Fact. b ≤ d ≤ c and ω1 ≤ s ≤ d

Say ¯ A = (Aα,n : α < ω1, n < ω) is a tail-splitting sequence of partitions (tssp) if the Aα,n, n ∈ ω, are pairwise disjoint and for all B ∈ [ω]ω there is α < ω1 such that all Aβ,n, β ≥ α, n ∈ ω, split B.

  • Facts. (1) the existence of a tssp implies s = ω1.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-34
SLIDE 34

Mad families: a combinatorial principle

d := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∀∞n (g(n) < f (n))} the dominating number s := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (|X ∩ Y | = |Y \ X| = ω)} the splitting number

  • Fact. b ≤ d ≤ c and ω1 ≤ s ≤ d

Say ¯ A = (Aα,n : α < ω1, n < ω) is a tail-splitting sequence of partitions (tssp) if the Aα,n, n ∈ ω, are pairwise disjoint and for all B ∈ [ω]ω there is α < ω1 such that all Aβ,n, β ≥ α, n ∈ ω, split B.

  • Facts. (1) the existence of a tssp implies s = ω1.

(2) d = ω1 implies the existence of a tssp.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-35
SLIDE 35

Mad families: a combinatorial principle

d := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∀∞n (g(n) < f (n))} the dominating number s := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (|X ∩ Y | = |Y \ X| = ω)} the splitting number

  • Fact. b ≤ d ≤ c and ω1 ≤ s ≤ d

Say ¯ A = (Aα,n : α < ω1, n < ω) is a tail-splitting sequence of partitions (tssp) if the Aα,n, n ∈ ω, are pairwise disjoint and for all B ∈ [ω]ω there is α < ω1 such that all Aβ,n, β ≥ α, n ∈ ω, split B.

  • Facts. (1) the existence of a tssp implies s = ω1.

(2) d = ω1 implies the existence of a tssp. (3) There is a tssp in the Hechler model.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-36
SLIDE 36

Mad families: a combinatorial principle

d := min{|F| : F ⊆ ωω and ∀g ∈ ωω ∃f ∈ F ∀∞n (g(n) < f (n))} the dominating number s := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (|X ∩ Y | = |Y \ X| = ω)} the splitting number

  • Fact. b ≤ d ≤ c and ω1 ≤ s ≤ d

Say ¯ A = (Aα,n : α < ω1, n < ω) is a tail-splitting sequence of partitions (tssp) if the Aα,n, n ∈ ω, are pairwise disjoint and for all B ∈ [ω]ω there is α < ω1 such that all Aβ,n, β ≥ α, n ∈ ω, split B.

  • Facts. (1) the existence of a tssp implies s = ω1.

(2) d = ω1 implies the existence of a tssp. (3) There is a tssp in the Hechler model. Theorem 5 The existence of a tssp implies aclosed = ω1.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-37
SLIDE 37

Mad families: what if b > ω1?

Theorem 5 The existence of a tssp implies aclosed = ω1.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-38
SLIDE 38

Mad families: what if b > ω1?

Theorem 5 The existence of a tssp implies aclosed = ω1. Corollary 6 (B. and Khomskii ’11) In the Hechler model aclosed = ω1.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-39
SLIDE 39

Mad families: what if b > ω1?

Theorem 5 The existence of a tssp implies aclosed = ω1. Corollary 6 (B. and Khomskii ’11) In the Hechler model aclosed = ω1. In particular aclosed < b is consistent.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-40
SLIDE 40

Mad families: what if b > ω1?

Theorem 5 The existence of a tssp implies aclosed = ω1. Corollary 6 (B. and Khomskii ’11) In the Hechler model aclosed = ω1. In particular aclosed < b is consistent. In the Hechler model over V = L there is a Π1

1 mad.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-41
SLIDE 41

Mad families: what if b > ω1?

Theorem 5 The existence of a tssp implies aclosed = ω1. Corollary 6 (B. and Khomskii ’11) In the Hechler model aclosed = ω1. In particular aclosed < b is consistent. In the Hechler model over V = L there is a Π1

1 mad.

In particular, the existence of Π1

1 mads is consistent with b > ω1.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-42
SLIDE 42

Mad families: what if b > ω1?

Theorem 5 The existence of a tssp implies aclosed = ω1. Corollary 6 (B. and Khomskii ’11) In the Hechler model aclosed = ω1. In particular aclosed < b is consistent. In the Hechler model over V = L there is a Π1

1 mad.

In particular, the existence of Π1

1 mads is consistent with b > ω1.

Corollary 7 (Raghavan and Shelah) d = ω1 implies aclosed = ω1.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-43
SLIDE 43

Mad families: what if b > ω1?

Theorem 5 The existence of a tssp implies aclosed = ω1. Corollary 6 (B. and Khomskii ’11) In the Hechler model aclosed = ω1. In particular aclosed < b is consistent. In the Hechler model over V = L there is a Π1

1 mad.

In particular, the existence of Π1

1 mads is consistent with b > ω1.

Corollary 7 (Raghavan and Shelah) d = ω1 implies aclosed = ω1. Question 1 Does s = ω1 imply aclosed = ω1?

  • rg Brendle

Maximal objects in the projective hierarchy

slide-44
SLIDE 44

Mad families: non-existence

Theorem 8 (Horowitz and Shelah ’16) It is consistent on the basis of ZFC that there are no (projective) mads.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-45
SLIDE 45

Mad families: non-existence

Theorem 8 (Horowitz and Shelah ’16) It is consistent on the basis of ZFC that there are no (projective) mads.

  • Note. This was originally proved by Mathias under the assumption
  • f the consistency of a Mahlo cardinal, and by T¨
  • rnquist, under

the assumption of the consistency of an inaccessible cardinal.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-46
SLIDE 46

Maximal independent families: definitions

A ⊆ [ω]ω is an independent (ind.) family if whenever F, G ⊆ A are finite and disjoint then σ(F, G) := F ∩

A∈G(ω \ A) is infinite

  • rg Brendle

Maximal objects in the projective hierarchy

slide-47
SLIDE 47

Maximal independent families: definitions

A ⊆ [ω]ω is an independent (ind.) family if whenever F, G ⊆ A are finite and disjoint then σ(F, G) := F ∩

A∈G(ω \ A) is infinite

A ⊆ [ω]ω is a mif if A is ind. and maximal with this property, i.e., for all X ∈ [ω]ω there are F, G ⊆ A finite and disjoint such that either σ(F, G) ⊆∗ X or σ(F, G) ∩ X =∗ ∅

  • rg Brendle

Maximal objects in the projective hierarchy

slide-48
SLIDE 48

Maximal independent families: definitions

A ⊆ [ω]ω is an independent (ind.) family if whenever F, G ⊆ A are finite and disjoint then σ(F, G) := F ∩

A∈G(ω \ A) is infinite

A ⊆ [ω]ω is a mif if A is ind. and maximal with this property, i.e., for all X ∈ [ω]ω there are F, G ⊆ A finite and disjoint such that either σ(F, G) ⊆∗ X or σ(F, G) ∩ X =∗ ∅

  • Fact. A Σ1

n mif is also ∆1 n.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-49
SLIDE 49

Mifs: basic results

Theorem 9 (B. and Khomskii ’17) If there is a Σ1

2 mif then there is a Π1 1 mif.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-50
SLIDE 50

Mifs: basic results

Theorem 9 (B. and Khomskii ’17) If there is a Σ1

2 mif then there is a Π1 1 mif.

Theorem 10 (Miller ∼’90) There are no Σ1

1 mifs.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-51
SLIDE 51

Mifs: basic results

Theorem 9 (B. and Khomskii ’17) If there is a Σ1

2 mif then there is a Π1 1 mif.

Theorem 10 (Miller ∼’90) There are no Σ1

1 mifs.

Theorem 11 (Miller ∼’90) There are Π1

1 mifs in L.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-52
SLIDE 52

Mifs: an implication

Theorem 12 (B. and Khomskii ’15) If all Σ1

n sets have the property of Baire, then there is no Σ1 n mif.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-53
SLIDE 53

Mifs: an implication

Theorem 12 (B. and Khomskii ’15) If all Σ1

n sets have the property of Baire, then there is no Σ1 n mif.

Proof idea. Analyze proof of Miller’s result.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-54
SLIDE 54

Mifs: an implication

Theorem 12 (B. and Khomskii ’15) If all Σ1

n sets have the property of Baire, then there is no Σ1 n mif.

Proof idea. Analyze proof of Miller’s result.

  • Question. Does Σ1

n measurability imply no Σ1 n mifs?

  • rg Brendle

Maximal objects in the projective hierarchy

slide-55
SLIDE 55

Mifs: an implication

Theorem 12 (B. and Khomskii ’15) If all Σ1

n sets have the property of Baire, then there is no Σ1 n mif.

Proof idea. Analyze proof of Miller’s result.

  • Question. Does Σ1

n measurability imply no Σ1 n mifs?

Question 2 Does the Σ1

n Ramsey property imply no Σ1 n mads?

  • rg Brendle

Maximal objects in the projective hierarchy

slide-56
SLIDE 56

Mifs: non-existence

Theorem 13 (B. and Khomskii ’15) In the Cohen model W there are no projective mifs. In L(R)W there are no mifs.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-57
SLIDE 57

Mifs: non-existence

Theorem 13 (B. and Khomskii ’15) In the Cohen model W there are no projective mifs. In L(R)W there are no mifs. This is based on the same combinatorics as the previous result + homogeneity of Cohen forcing.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-58
SLIDE 58

Mifs: what if CH fails?

Theorem 14 (Fischer ’18) In the Sacks model (over V = L) there is a Σ1

2 and thus Π1 1 mif.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-59
SLIDE 59

Mifs: what if CH fails?

Theorem 14 (Fischer ’18) In the Sacks model (over V = L) there is a Σ1

2 and thus Π1 1 mif.

In particular, the existence of Π1

1 mifs is consistent with c > ω1.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-60
SLIDE 60

Mifs: what if CH fails?

Theorem 14 (Fischer ’18) In the Sacks model (over V = L) there is a Σ1

2 and thus Π1 1 mif.

In particular, the existence of Π1

1 mifs is consistent with c > ω1.

Under CH, there is a mif which survives arbitrary Sacks extensions.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-61
SLIDE 61

Mifs: what if CH fails?

Theorem 14 (Fischer ’18) In the Sacks model (over V = L) there is a Σ1

2 and thus Π1 1 mif.

In particular, the existence of Π1

1 mifs is consistent with c > ω1.

Under CH, there is a mif which survives arbitrary Sacks extensions. Adding an unbounded real ... destroys all ground model mifs.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-62
SLIDE 62

Mifs: what if CH fails?

Theorem 14 (Fischer ’18) In the Sacks model (over V = L) there is a Σ1

2 and thus Π1 1 mif.

In particular, the existence of Π1

1 mifs is consistent with c > ω1.

Under CH, there is a mif which survives arbitrary Sacks extensions. Adding an unbounded real ... destroys all ground model mifs. Can we have d > ω1 together with Π1

1 mifs?

  • rg Brendle

Maximal objects in the projective hierarchy

slide-63
SLIDE 63

Mifs: what if CH fails?

Theorem 14 (Fischer ’18) In the Sacks model (over V = L) there is a Σ1

2 and thus Π1 1 mif.

In particular, the existence of Π1

1 mifs is consistent with c > ω1.

Under CH, there is a mif which survives arbitrary Sacks extensions. Adding an unbounded real ... destroys all ground model mifs. Can we have d > ω1 together with Π1

1 mifs?

In fact, many forcings destroy all ground model mifs.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-64
SLIDE 64

Mifs: some cardinals

i := min{|A| : A ⊆ [ω]ω is a mif} the independence number

  • rg Brendle

Maximal objects in the projective hierarchy

slide-65
SLIDE 65

Mifs: some cardinals

i := min{|A| : A ⊆ [ω]ω is a mif} the independence number iclosed := min{|F| : F collection of closed ind. families, F mif }

  • rg Brendle

Maximal objects in the projective hierarchy

slide-66
SLIDE 66

Mifs: some cardinals

i := min{|A| : A ⊆ [ω]ω is a mif} the independence number iclosed := min{|F| : F collection of closed ind. families, F mif } iBorel := min{|F| : F collection of Borel ind. families, F mif }

  • rg Brendle

Maximal objects in the projective hierarchy

slide-67
SLIDE 67

Mifs: some cardinals

i := min{|A| : A ⊆ [ω]ω is a mif} the independence number iclosed := min{|F| : F collection of closed ind. families, F mif } iBorel := min{|F| : F collection of Borel ind. families, F mif } r := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (X ⊆∗ Y or |X ∩ Y | < ω)} the reaping number

  • rg Brendle

Maximal objects in the projective hierarchy

slide-68
SLIDE 68

Mifs: some cardinals

i := min{|A| : A ⊆ [ω]ω is a mif} the independence number iclosed := min{|F| : F collection of closed ind. families, F mif } iBorel := min{|F| : F collection of Borel ind. families, F mif } r := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (X ⊆∗ Y or |X ∩ Y | < ω)} the reaping number non(meager) is the least size of a non-meager set of reals

  • rg Brendle

Maximal objects in the projective hierarchy

slide-69
SLIDE 69

Mifs: some cardinals

i := min{|A| : A ⊆ [ω]ω is a mif} the independence number iclosed := min{|F| : F collection of closed ind. families, F mif } iBorel := min{|F| : F collection of Borel ind. families, F mif } r := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (X ⊆∗ Y or |X ∩ Y | < ω)} the reaping number non(meager) is the least size of a non-meager set of reals cov(meager) is the least size of a family of meager sets covering the reals

  • rg Brendle

Maximal objects in the projective hierarchy

slide-70
SLIDE 70

Mifs: some cardinals

i := min{|A| : A ⊆ [ω]ω is a mif} the independence number iclosed := min{|F| : F collection of closed ind. families, F mif } iBorel := min{|F| : F collection of Borel ind. families, F mif } r := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (X ⊆∗ Y or |X ∩ Y | < ω)} the reaping number non(meager) is the least size of a non-meager set of reals cov(meager) is the least size of a family of meager sets covering the reals

  • Fact. cov(meager) ≤ d, r ≤ i ≤ c and non(meager) ≤ i.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-71
SLIDE 71

Mifs: some cardinals

i := min{|A| : A ⊆ [ω]ω is a mif} the independence number iclosed := min{|F| : F collection of closed ind. families, F mif } iBorel := min{|F| : F collection of Borel ind. families, F mif } r := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (X ⊆∗ Y or |X ∩ Y | < ω)} the reaping number non(meager) is the least size of a non-meager set of reals cov(meager) is the least size of a family of meager sets covering the reals

  • Fact. cov(meager) ≤ d, r ≤ i ≤ c and non(meager) ≤ i.

Theorem 15 (B. and Khomskii ’15) cov(meager) ≤ iBorel.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-72
SLIDE 72

Mifs: some cardinals

i := min{|A| : A ⊆ [ω]ω is a mif} the independence number iclosed := min{|F| : F collection of closed ind. families, F mif } iBorel := min{|F| : F collection of Borel ind. families, F mif } r := min{|F| : F ⊆ [ω]ω and ∀Y ∈ [ω]ω ∃X ∈ F (X ⊆∗ Y or |X ∩ Y | < ω)} the reaping number non(meager) is the least size of a non-meager set of reals cov(meager) is the least size of a family of meager sets covering the reals

  • Fact. cov(meager) ≤ d, r ≤ i ≤ c and non(meager) ≤ i.

Theorem 15 (B. and Khomskii ’15) cov(meager) ≤ iBorel. In particular, cov(meager) > ω1 implies there are no Σ1

2 mifs.

  • rg Brendle

Maximal objects in the projective hierarchy

slide-73
SLIDE 73

Mifs: some questions

Question 3

1 Is d ≤ iBorel? Or is iclosed < d consistent? J¨

  • rg Brendle

Maximal objects in the projective hierarchy

slide-74
SLIDE 74

Mifs: some questions

Question 3

1 Is d ≤ iBorel? Or is iclosed < d consistent?

Is d > ω1 consistent with the existence of a Π1

1 mif?

  • rg Brendle

Maximal objects in the projective hierarchy

slide-75
SLIDE 75

Mifs: some questions

Question 3

1 Is d ≤ iBorel? Or is iclosed < d consistent?

Is d > ω1 consistent with the existence of a Π1

1 mif?

2 Is r ≤ iBorel? J¨

  • rg Brendle

Maximal objects in the projective hierarchy

slide-76
SLIDE 76

Mifs: some questions

Question 3

1 Is d ≤ iBorel? Or is iclosed < d consistent?

Is d > ω1 consistent with the existence of a Π1

1 mif?

2 Is r ≤ iBorel? 3 Is non(meager) ≤ iBorel? J¨

  • rg Brendle

Maximal objects in the projective hierarchy

slide-77
SLIDE 77

Mifs: some questions

Question 3

1 Is d ≤ iBorel? Or is iclosed < d consistent?

Is d > ω1 consistent with the existence of a Π1

1 mif?

2 Is r ≤ iBorel? 3 Is non(meager) ≤ iBorel? 4 Is iBorel = i? J¨

  • rg Brendle

Maximal objects in the projective hierarchy

slide-78
SLIDE 78

Happy birthday, Joan!

  • rg Brendle

Maximal objects in the projective hierarchy