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読み込み中.... (全文を見る)

全文

(1)

Effective Strong Nullness and

Diminutiveness

Kojiro Higuchi

Joint work with Takayuki Kihara

Tohoku University

Wednesday 22, 2012

(2)

Strong Nullness

• Basic Notions:

ω= {0, 1, 2, 3, · · · }, ωω = {f | f : ω → ω}.

ω is the set of all (finite) strings.

For a string σ ∈ ω, [[σ]] = {f ∈ ωω | f ⊃ σ}.

• A set P ⊂ ωω is null iff (∀ k ∈ ω)(∃ {σn}n∈ω ⊂ ω)

[P ⊂n∈ω[[σn]] & n∈ω1/2lhn)≤ 1/2k].

• A set P ⊂ ωω is strongly nulliff (∀ {kn}n∈ω ⊂ ω)(∃ {σn}n∈ω ⊂ ω)

[P ⊂n∈ω[[σn]] & (∀n)[1/2lhn) ≤ 1/2kn]].

(3)

Strong Nullness

• Basic Notions:

ω= {0, 1, 2, 3, · · · }, ωω = {f | f : ω → ω}.

ω is the set of all (finite) strings.

For a string σ ∈ ω, [[σ]] = {f ∈ ωω | f ⊃ σ}.

• A set P ⊂ ωω is null iff (∀ k ∈ ω)(∃ {σn}n∈ω ⊂ ω)

[P ⊂n∈ω[[σn]] & n∈ω1/2lhn)≤ 1/2k].

• A set P ⊂ ωω is strongly nulliff (∀ {kn}n∈ω ⊂ ω)(∃ {σn}n∈ω ⊂ ω) [P ⊂n∈ω[[σn]] & (∀n)[lh(σn) ≥ kn]].

(4)

Background

• In 1919, Borel introduced strong nullness on the subsets of R.

• He conjectured that every strong null set of reals is countable. (Borel Conjecture)

• In 1928, Sierpi´nski proved that ZFC+CH ⊢ ¬BC.

• In 1976, Laver proved that BC is independent of ZFC.

(5)

Effective Strong Nullness

• A set P ⊂ ωω is strongly nulliff (∀ {kn}n∈ω ⊂ ω)(∃ {σn}n∈ω ⊂ ω) [P ⊂n∈ω[[σn]] & (∀n)[lh(σn) ≥ kn]].

• A set P ⊂ ωω is effectively strongly nulliff (∀ computable {kn}n∈ω ⊂ ω)(∃ {σn}n∈ω ⊂ ω) [P ⊂n∈ω[[σn]] & (∀n)[lh(σn) ≥ kn]].

(6)

• 2ω = {f | f : ω → {0, 1}}.

• We will characterize effective strong nullness for closed subsets of 2ω.

• Recall that P ⊂ 2ω is closed iff (∃ a tree TP ⊂ 2)[ P = [TP] ],

where [TP] is the set of all paths through TP.

···

P

}

TP

(7)

• Thm. For a closed subset P of 2ω,

P is not effectively strongly null

⇐⇒ P contains a computably perfect subset.

• A closed set Q ⊂ ωω iscomputably perfect iff (∃ computable F : ω → ω)(∀f ∈ Q)(∀n) [ (Q ∩ [[f ↾ n]]) \ [[f ↾ F (n)]] ̸= ∅ ].

n F(n)

(8)

A Proof of ⇐

• Q is computably perfectiff (∃ computable F ) (∀f ∈ Q)(∀n)[(Q ∩ [[f ↾ n]]) \ [[f ↾ F (n)]] ̸= ∅].

• P is not effectively strongly null iff

(∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• A closed P ⊂ 2ω contains a computably perfect subset Q

=⇒ P is not effectively strongly null.

0

k0 = F (0) k1 = FF (0) k2 = FFF (0)··

·

(9)

A Proof of ⇐

• Q is computably perfectiff (∃ computable F ) (∀f ∈ Q)(∀n)[(Q ∩ [[f ↾ n]]) \ [[f ↾ F (n)]] ̸= ∅].

• P is not effectively strongly null iff

(∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• A closed P ⊂ 2ω contains a computably perfect subset Q

=⇒ P is not effectively strongly null.

0

k0 = F (0) k1 = FF (0) k2 = FFF (0)

σ0

···

(10)

A Proof of ⇐

• Q is computably perfectiff (∃ computable F ) (∀f ∈ Q)(∀n)[(Q ∩ [[f ↾ n]]) \ [[f ↾ F (n)]] ̸= ∅].

• P is not effectively strongly null iff

(∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• A closed P ⊂ 2ω contains a computably perfect subset Q

=⇒ P is not effectively strongly null.

0

k0 = F (0) k1 = FF (0) k2 = FFF (0)

σ0

σ1

···

(11)

A Proof of ⇐

• Q is computably perfectiff (∃ computable F ) (∀f ∈ Q)(∀n)[(Q ∩ [[f ↾ n]]) \ [[f ↾ F (n)]] ̸= ∅].

• P is not effectively strongly null iff

(∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• A closed P ⊂ 2ω contains a computably perfect subset Q

=⇒ P is not effectively strongly null.

0

k0 = F (0) k1 = FF (0) k2 = FFF (0)

σ0

σ1

σ2

···

(12)

A Proof of ⇐

• Q is computably perfectiff (∃ computable F ) (∀f ∈ Q)(∀n)[(Q ∩ [[f ↾ n]]) \ [[f ↾ F (n)]] ̸= ∅].

• P is not effectively strongly null iff

(∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• A closed P ⊂ 2ω contains a computably perfect subset Q

=⇒ P is not effectively strongly null.

0

k0 = F (0) k1 = FF (0) k2 = FFF (0)

σ0

σ1

σ2

···

(13)

Combinatorial Theorem

• Let T ⊂ ω be a finitely branching tree.

• [(∀A ⊂ T \ {∅})

[(∀n)[#(A∩ωn+1) ≤ #(T ∩ωn)] =⇒ [T ]\σ∈A[[σ]] ̸= ∅]]

=⇒

(∃ nonempty T ⊂ T )(∀σ ∈ T)(∃n ̸= m)[σn, σm ∈ T].

T 0

1

··· 2

(14)

Combinatorial Theorem

• Let T ⊂ ω be a finitely branching tree.

• [(∀A ⊂ T \ {∅})

[(∀n)[#(A∩ωn+1) ≤ #(T ∩ωn)] =⇒ [T ]\σ∈A[[σ]] ̸= ∅]]

=⇒

(∃ nonempty T ⊂ T )(∀σ ∈ T)(∃n ̸= m)[σn, σm ∈ T].

T 0

1 2

A

A ··

·

(15)

Combinatorial Theorem

• Let T ⊂ ω be a finitely branching tree.

• [(∀A ⊂ T \ {∅})

[(∀n)[#(A∩ωn+1) ≤ #(T ∩ωn)] =⇒ [T ]\σ∈A[[σ]] ̸= ∅]]

=⇒

(∃ nonempty T ⊂ T )(∀σ ∈ T)(∃n ̸= m)[σn, σm ∈ T].

T 0

1 2

A

A ··

·

(16)

Combinatorial Theorem

• Let T ⊂ ω be a finitely branching tree.

• [(∀A ⊂ T \ {∅})

[(∀n)[#(A∩ωn+1) ≤ #(T ∩ωn)] =⇒ [T ]\σ∈A[[σ]] ̸= ∅]]

=⇒

(∃ nonempty T ⊂ T )(∀σ ∈ T)(∃n ̸= m)[σn, σm ∈ T].

T 0

1

··· 2

(17)

Combinatorial Theorem

• Let T ⊂ ω be a finitely branching tree.

• [(∀A ⊂ T \ {∅})

[(∀n)[#(A∩ωn+1) ≤ #(T ∩ωn)] =⇒ [T ]\σ∈A[[σ]] ̸= ∅]]

=⇒

(∃ nonempty T ⊂ T )(∀σ ∈ T)(∃n ̸= m)[σn, σm ∈ T].

T 0

1 2

T

···

(18)

A Proof of Combinatorial Theorem

• Let T ⊂ ω be a finitely branching tree.

Ext(T ) = {σ ∈ T | (∃f ∈ [T ])[ σ ⊂ f ]}.

Br(T ) = {σ ∈ T | (∃n ̸= m)[ σn, σm ∈ Ext(T ) ]}.

• Let T be the set of all finitely branching subtree T of ω such that Ext(T ) \ Br(T ) ̸= ∅.

• •

···

(19)

A Proof of Combinatorial Theorem

• Let T ⊂ ω be a finitely branching tree.

Ext(T ) = {σ ∈ T | (∃f ∈ [T ])[ σ ⊂ f ]}.

Br(T ) = {σ ∈ T | (∃n ̸= m)[ σn, σm ∈ Ext(T ) ]}.

• Let T be the set of all finitely branching subtree T of ω such that Ext(T ) \ Br(T ) ̸= ∅.

• Ext(T )

• •

···

(20)

A Proof of Combinatorial Theorem

• Let T ⊂ ω be a finitely branching tree.

Ext(T ) = {σ ∈ T | (∃f ∈ [T ])[ σ ⊂ f ]}.

Br(T ) = {σ ∈ T | (∃n ̸= m)[ σn, σm ∈ Ext(T ) ]}.

• Let T be the set of all finitely branching subtree T of ω such that Ext(T ) \ Br(T ) ̸= ∅.

• Br(T )

• •

···

(21)

A Proof of Combinatorial Theorem (1)

• Let c : T → ω such that c(T ) = σn with σn ∈ Ext(T ) and σ ̸∈ Br(T ) for all T ∈ T.

• Given a finitely branching T ⊂ ω, define T0 = Ext(T ) and Tα = Ext(β<α(Tβ\ {σ | σ ⊃ c(Tβ)}) for all α > 0. Here, we understand Tα+1 = Tα if Ext(Tα) \ Br(Tα) = ∅.

• Let α0 be the least fixed point ordinal of {Tα}α.

• Then (∀σ ∈ Tα0)(∃n ̸= m)[σn, σm ∈ Tα0].

• For β < α0, let c(Tβ) = σβnβ.

• For β < γ < α0, we have σβ ̸= σγ since σγ ∈ Tγ⊂ Ext(Tβ \ {σ | σ ⊃ c(Tβ)}) ̸∋ σβ.

• Thus, β 7→ σβ is injective.

(22)

A Proof of Combinatorial Theorem (1)

• Let c : T → ω such that c(T ) = σn with σn ∈ Ext(T ) and σ ̸∈ Br(T ) for all T ∈ T.

• Given a finitely branching T ⊂ ω, define T0 = Ext(T ) and Tα = Ext(β<α(Tβ\ {σ | σ ⊃ c(Tβ)}) for all α > 0. Here, we understand Tα+1 = Tα if Ext(Tα) \ Br(Tα) = ∅.

• Let α0 be the least fixed point ordinal of {Tα}α.

• Then (∀σ ∈ Tα0)(∃n ̸= m)[σn, σm ∈ Tα0].

• For β < α0, let c(Tβ) = σβnβ.

• For β < γ < α0, we have σβ ̸= σγ since σγ ∈ Tγ⊂ Ext(Tβ \ {σ | σ ⊃ c(Tβ)}) ̸∋ σβ.

• Thus, β 7→ σβ is injective.

(23)

A Proof of Combinatorial Theorem (1)

• Let c : T → ω such that c(T ) = σn with σn ∈ Ext(T ) and σ ̸∈ Br(T ) for all T ∈ T.

• Given a finitely branching T ⊂ ω, define T0 = Ext(T ) and Tα = Ext(β<α(Tβ\ {σ | σ ⊃ c(Tβ)}) for all α > 0. Here, we understand Tα+1 = Tα if Ext(Tα) \ Br(Tα) = ∅.

• Let α0 be the least fixed point ordinal of {Tα}α.

• Then (∀σ ∈ Tα0)(∃n ̸= m)[σn, σm ∈ Tα0].

• For β < α0, let c(Tβ) = σβnβ.

• For β < γ < α0, we have σβ ̸= σγ since σγ ∈ Tγ⊂ Ext(Tβ \ {σ | σ ⊃ c(Tβ)}) ̸∋ σβ.

• Thus, β 7→ σβ is injective.

(24)

A Proof of Combinatorial Theorem (1)

• Let c : T → ω such that c(T ) = σn with σn ∈ Ext(T ) and σ ̸∈ Br(T ) for all T ∈ T.

• Given a finitely branching T ⊂ ω, define T0 = Ext(T ) and Tα = Ext(β<α(Tβ\ {σ | σ ⊃ c(Tβ)}) for all α > 0. Here, we understand Tα+1 = Tα if Ext(Tα) \ Br(Tα) = ∅.

• Let α0 be the least fixed point ordinal of {Tα}α.

• Then (∀σ ∈ Tα0)(∃n ̸= m)[σn, σm ∈ Tα0].

• For β < α0, let c(Tβ) = σβnβ.

• For β < γ < α0, we have σβ ̸= σγ since σγ ∈ Tγ⊂ Ext(Tβ \ {σ | σ ⊃ c(Tβ)}) ̸∋ σβ.

• Thus, β 7→ σβ is injective.

(25)

A Proof of Combinatorial Theorem (1)

• Let c : T → ω such that c(T ) = σn with σn ∈ Ext(T ) and σ ̸∈ Br(T ) for all T ∈ T.

• Given a finitely branching T ⊂ ω, define T0 = Ext(T ) and Tα = Ext(β<α(Tβ\ {σ | σ ⊃ c(Tβ)}) for all α > 0. Here, we understand Tα+1 = Tα if Ext(Tα) \ Br(Tα) = ∅.

• Let α0 be the least fixed point ordinal of {Tα}α.

• Then (∀σ ∈ Tα0)(∃n ̸= m)[σn, σm ∈ Tα0].

• For β < α0, let c(Tβ) = σβnβ.

• For β < γ < α0, we have σβ ̸= σγ since σγ ∈ Tγ⊂ Ext(Tβ \ {σ | σ ⊃ c(Tβ)}) ̸∋ σβ.

• Thus, β 7→ σβ is injective.

(26)

A Proof of Combinatorial Theorem (1)

• Let c : T → ω such that c(T ) = σn with σn ∈ Ext(T ) and σ ̸∈ Br(T ) for all T ∈ T.

• Given a finitely branching T ⊂ ω, define T0 = Ext(T ) and Tα = Ext(β<α(Tβ\ {σ | σ ⊃ c(Tβ)}) for all α > 0. Here, we understand Tα+1 = Tα if Ext(Tα) \ Br(Tα) = ∅.

• Let α0 be the least fixed point ordinal of {Tα}α.

• Then (∀σ ∈ Tα0)(∃n ̸= m)[σn, σm ∈ Tα0].

• For β < α0, let c(Tβ) = σβnβ.

• For β < γ < α0, we have σβ ̸= σγ since σγ ∈ Tγ⊂ Ext(Tβ \ {σ | σ ⊃ c(Tβ)}) ̸∋ σβ.

• Thus, β 7→ σβ is injective.

(27)

A Proof of Combinatorial Theorem (1)

• Let c : T → ω such that c(T ) = σn with σn ∈ Ext(T ) and σ ̸∈ Br(T ) for all T ∈ T.

• Given a finitely branching T ⊂ ω, define T0 = Ext(T ) and Tα = Ext(β<α(Tβ\ {σ | σ ⊃ c(Tβ)}) for all α > 0. Here, we understand Tα+1 = Tα if Ext(Tα) \ Br(Tα) = ∅.

• Let α0 be the least fixed point ordinal of {Tα}α.

• Then (∀σ ∈ Tα0)(∃n ̸= m)[σn, σm ∈ Tα0].

• For β < α0, let c(Tβ) = σβnβ.

• For β < γ < α0, we have σβ ̸= σγ since σγ ∈ Tγ⊂ Ext(Tβ \ {σ | σ ⊃ c(Tβ)}) ̸∋ σβ.

• Thus, β 7→ σβ is injective.

(28)

A Proof of Combinatorial Theorem (2)

• We want to show that for an f.b. tree T ⊂ ω, [(∀A ⊂ T \ {∅})

[(∀n)[#(A∩ωn+1) ≤ #(T ∩ωn)] =⇒ [T ]\σ∈A[[σ]] ̸= ∅]]

=⇒

(∃ nonempty T ⊂ T )(∀σ ∈ T)(∃n ̸= m)[σn, σm ∈ T].

• Define A = {c(Tβ) | β < α0}.

• Since c(Tβ) = σβnβ 7→ σβ is injective, we have [Tα0] = [T ] \

σ∈A[[σ]] ̸= ∅.

Thus T = Tα0 satisfies the desired property.

(29)

A Proof of Combinatorial Theorem (2)

• We want to show that for an f.b. tree T ⊂ ω, [(∀A ⊂ T \ {∅})

[(∀n)[#(A∩ωn+1) ≤ #(T ∩ωn)] =⇒ [T ]\σ∈A[[σ]] ̸= ∅]]

=⇒

(∃ nonempty T ⊂ T )(∀σ ∈ T)(∃n ̸= m)[σn, σm ∈ T].

• Define A = {c(Tβ) | β < α0}.

• Since c(Tβ) = σβnβ 7→ σβ is injective, we have [Tα0] = [T ] \

σ∈A[[σ]] ̸= ∅.

Thus T = Tα0 satisfies the desired property.

(30)

A Proof of Combinatorial Theorem (2)

• We want to show that for an f.b. tree T ⊂ ω, [(∀A ⊂ T \ {∅})

[(∀n)[#(A∩ωn+1) ≤ #(T ∩ωn)] =⇒ [T ]\σ∈A[[σ]] ̸= ∅]]

=⇒

(∃ nonempty T ⊂ T )(∀σ ∈ T)(∃n ̸= m)[σn, σm ∈ T].

• Define A = {c(Tβ) | β < α0}.

• Since c(Tβ) = σβnβ 7→ σβ is injective, we have [Tα0] = [T ] \

σ∈A[[σ]] ̸= ∅.

Thus T = Tα0 satisfies the desired property.

(31)

A Proof of ⇒

Now we show that

• A closed P ⊂ 2ω is not effectively strongly null

=⇒ P contains a computably perfect subset.

(32)

A Proof of ⇒

• Suppose that P isnot effectively strongly null, i.e., (∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• We can assume kn < kn+1 for all n ∈ ω.

• Define G by G (0) = 0, G (n + 1) = G (n) + 2G(n).

kG(0)

kG(1)

kG(2)

(33)

A Proof of ⇒

• Suppose that P isnot effectively strongly null, i.e., (∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• We can assume kn < kn+1 for all n ∈ ω.

• Define G by G (0) = 0, G (n + 1) = G (n) + 2G(n).

kG(0)

kG(1)

kG(2)

A A

(34)

A Proof of ⇒

• Suppose that P isnot effectively strongly null, i.e., (∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• We can assume kn < kn+1 for all n ∈ ω.

• Define G by G (0) = 0, G (n + 1) = G (n) + 2G(n).

σG(0), . . . , σG(1)−1

σG(1), . . . , σG(2)−1

kG(0)

kG(1)

kG(2)

A A

(35)

A Proof of ⇒

• Suppose that P isnot effectively strongly null, i.e., (∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• We can assume kn < kn+1 for all n ∈ ω.

• Define G by G (0) = 0, G (n + 1) = G (n) + 2G(n).

σG(0), . . . , σG(1)−1

σG(1), . . . , σG(2)−1

kG(0)

kG(1)

kG(2)

A A

(36)

A Proof of ⇒

• Suppose that P isnot effectively strongly null, i.e., (∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• We can assume kn < kn+1 for all n ∈ ω.

• Define G by G (0) = 0, G (n + 1) = G (n) + 2G(n).

kG(0)

kG(1)

kG(2)

(37)

A Proof of ⇒

• Suppose that P isnot effectively strongly null, i.e., (∃ computable {kn}n∈ω ⊂ ω)(∀ {σn}n∈ω ⊂ ω) [(∀n)[lh(σn) ≥ kn] =⇒ P ̸⊂n∈ω[[σn]]].

• We can assume kn < kn+1 for all n ∈ ω.

• Define G by G (0) = 0, G (n + 1) = G (n) + 2G(n).

kG(0)

kG(1)

kG(2)

(38)

Futher Characterizations

• For a closed subset P of 2ω, the following are equivalent:

P is effectively strongly null.

P contains no computably perfect subset (i.e., P is diminutive).

• Thm(Binns). For a nonempty Π01 subsets of 2ω, TFAE:

P is diminutive.

There is f ∈ 2ω wtt-reducible to no element in P.

P contains no complex element.

Here, f ∈ 2ω is complex if there is a computable function G such that for all n ∈ ω, K (f ↾ G (n)) ≥ n holds,

where K is the prefix-free complexity.

(39)

Futher Characterizations

• For a closed subset P of 2ω, the following are equivalent:

P is effectively strongly null.

P contains no computably perfect subset (i.e., P is diminutive).

• Thm(Binns). For a nonempty Π01 subsets of 2ω, TFAE:

P is diminutive.

There is f ∈ 2ω wtt-reducible to no element in P.

P contains no complex element.

Here, f ∈ 2ω is complex if there is a computable function G such that for all n ∈ ω, K (f ↾ G (n)) ≥ n holds,

where K is the prefix-free complexity.

(40)

Below WKL

• Let ϕ(T ) be a formula.

• We write WKL(ϕ) for the statement:

Every infinite binary tree T which satisfies ϕ has a path.

• For instance, WKL(µ([T ]) > 0) ≡ WWKL.

(41)

Below WKL

• Consider the following statements:

DIM(T ) ≡ [T ] is “diminutive”.

VS(T ) ≡ [T ] is “very small”, i.e.,

(∀F : N → N)(∃n∈ N)[#(Ext(T ) ∩ 2F(n)) < n].

SN(T ) ≡ [T ] is “strong null”.

• Theorem (Binns and Kjos-Hanssen).

RCA0 WKL

WKL(VS)

WKL(DIM) WWKL

DNR

(42)

Below WKL

• Consider the following statements:

DIM(T ) ≡ [T ] is “diminutive”, i.e.,

¬(∃ nonempty tree T⊂ T )(∃F : N → N)(∀n ∈ N) (∀σ ∈ Ext(T)∩2n)(∃τ0̸= τ1∈ 2F(n))[τ0, τ1 ∈ Ext(T)].

SN(T ) ≡ [T ] is “strong null”, i.e.,

(∀F : N → N)(∃n)(∃{σm}m<n)[(∀m < n)[lh(σm) ≥ F(m)] & [T ] ⊂m<n[[σm]]].

• Prop. RCA0 ⊢WKL(DIM) ⇐⇒ WKL(SN).

(43)

• There may be a “natural” mathematical statement which is equivalent to WKL(ϕ) over RCA0 for some smallness property ϕ(T ) of trees.

• However, the following facts hold:

(ω, P(ω)) |= [T ] is finite if T is a very small infinite tree.

(Laver) ZFC̸⊢ “(ω, P(ω)) |= There exists an infinite diminutive tree with uncountably many paths.”

(44)

Closure Properties

• Let A = {P ⊂ 2ω | P is nonempty diminutive Π01 set }.

• Thm. The following hold:

Ais closed under taking nonempty Π01 subsets.

Ais closed under taking images of computable functions.

• For P, Q ⊂ ωω, P ≤w Q iff ∀g ∈ Q ∃f ∈ P fT g.

• Let MLR and DNR denote the set of all Martin-L¨of random sets and all diagonally non-recursive functions, respectively.

(45)

• Thm. Suppose that nonempty Π01 sets P, Q ⊂ 2ω and a set B of nonempty Π01 subsets of 2ω satisfy:

P, Q contain no computable element and P ≤w MLR.

Q ∈ B and P ̸∈ B for any nonempty Π01 set P ⊂ P.

Bis closed under taking nonempty Π01 subsets and taking images of computable functions.

Then P ̸≤w Q and P ̸≥w Q.

• Theorem (Binns). A nonempty Π01 set P is not diminutive if Pw DNR.

• Cor. P ̸≤w Q and P ̸≥w Q for any nonempty Π01 sets P, Q ⊂ 2ω with no computable element such that DNRw P w MLR and Q ∈ A.

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• Thm. Given a formula ϕ(T ), consider the set

B= {[T ] | T is an infinite tree & ϕ(T )}. Suppose that a nonempty Π01 sets P ⊂MLR and B satisfy:

There is P ∈ B with no computable element.

P̸∈ B for any nonempty Π01 set P ⊂ P.

Bis closed under taking nonempty Π01 subsets and taking images of computable functions.

Then RCA0+WWKL ̸⊢ WKL(ϕ).

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Thank you!

参照

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