A Generic Set That Does Not Bound A Minimal Pair€¦ · A Generic Set That Does Not Bound A...

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A Generic Set That Does Not Bound A Minimal Pair Mariya I. Soskova A Generic Set That Does Not Bound A Minimal Pair Mariya I. Soskova University of Leeds University of Leeds University of Leeds Department of Pure Mathematics 17.05.2006

Transcript of A Generic Set That Does Not Bound A Minimal Pair€¦ · A Generic Set That Does Not Bound A...

Page 1: A Generic Set That Does Not Bound A Minimal Pair€¦ · A Generic Set That Does Not Bound A Minimal Pair Mariya I. Soskova Background I Cooper, Sorbi, Lee and Yang 1. Every ∆0

A Generic Set ThatDoes Not Bound A

Minimal Pair

Mariya I. Soskova

A Generic Set That Does Not Bound AMinimal Pair

Mariya I. Soskova

University of LeedsUniversity of LeedsUniversity of LeedsDepartment of Pure Mathematics

17.05.2006

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Mariya I. Soskova

Background

I Cooper, Sorbi, Lee and Yang

1. Every ∆02 e-degree bounds a minimal pair.

2. There exists a Σ02 e-degree that does not bound a

minimal pair.

I Copestake

1. Every 2-generic e-degree bounds a minimal pair

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Main Result

TheoremThere exists a 1-generic enumeration degree a, that doesnot bound a minimal pair in the semi-lattice of theenumeration degrees.

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Definitions

DefinitionA set A is 1-generic if for every c.e. set S the followingcondition holds:

∃τ ⊆ χA(τ ∈ S ∨ ∀µ ⊇ τ(µ /∈ S)).

DefinitionLet a and b be two enumeration degrees. We say that aand b form a minimal pair in the semi-lattice of theenumeration degrees if:

1. a > 0 and b > 0.2. For every enumeration degree c

(c ≤ a ∧ c ≤ b → c = 0).

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The Requirements

I GW : ∃τ ⊆ χA(τ ∈ W ∨ ∀µ ⊇ τ(µ /∈ W ))

I RΘ0Θ1 : Θ0(A) = X − c.e. ∨Θ1(A) = Y − c.e.∨∨∃Φ0,Φ1((Φ0(X ) = Φ1(Y ) = D)∧∀W−c.e.(W 6= D))

SW : (X − c.e ∨ Y − c.e. ∨ (Φ0(X ) = Φ1(Y ) = D∧∧∃z(W (z) 6= D(z))))

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The Requirements

I GW : ∃τ ⊆ χA(τ ∈ W ∨ ∀µ ⊇ τ(µ /∈ W ))

I RΘ0Θ1 : Θ0(A) = X − c.e. ∨Θ1(A) = Y − c.e.∨∨∃Φ0,Φ1((Φ0(X ) = Φ1(Y ) = D)∧∀W−c.e.(W 6= D))

SW : (X − c.e ∨ Y − c.e. ∨ (Φ0(X ) = Φ1(Y ) = D∧∧∃z(W (z) 6= D(z))))

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The Requirements

I GW : ∃τ ⊆ χA(τ ∈ W ∨ ∀µ ⊇ τ(µ /∈ W ))

I RΘ0Θ1 : Θ0(A) = X − c.e. ∨Θ1(A) = Y − c.e.∨∨∃Φ0,Φ1((Φ0(X ) = Φ1(Y ) = D)∧∀W−c.e.(W 6= D))

SW : (X − c.e ∨ Y − c.e. ∨ (Φ0(X ) = Φ1(Y ) = D∧∧∃z(W (z) 6= D(z))))

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The Requirements

I GW : ∃τ ⊆ χA(τ ∈ W ∨ ∀µ ⊇ τ(µ /∈ W ))

I RΘ0Θ1 : Θ0(A) = X − c.e. ∨Θ1(A) = Y − c.e.∨∨∃Φ0,Φ1((Φ0(X ) = Φ1(Y ) = D)∧∀W−c.e.(W 6= D))

SW : (X − c.e ∨ Y − c.e. ∨ (Φ0(X ) = Φ1(Y ) = D∧∧∃z(W (z) 6= D(z))))

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The Construction

I Priority tree T with nodes labelled by the strategiesI At stage s : δs, As

I A0s = N

I Approximations to c.e. sets.

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The GW - Strategy

γ

γ 1̂γ 0̂

I Choose a finite string λγ

I Ask ∃µ ⊃ λγ(µ ∈ W ) ?I Yes : outcome 0I No : outcome 1

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The GW - Strategy

γ

γ 1̂γ 0̂

I Choose a finite string λγ

I Ask ∃µ ⊃ λγ(µ ∈ W ) ?I Yes : outcome 0I No : outcome 1

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The GW - Strategy

γ

γ 1̂γ 0̂

I Choose a finite string λγ

I Ask ∃µ ⊃ λγ(µ ∈ W ) ?I Yes : outcome 0I No : outcome 1

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The R Strategy

α

α̂ 0

I Check all SW substrategies.I At this level operators Φ0 and Φ1 are builtI Outcome 0

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The SW Strategy – o− = ∞X

β

β d̂0β 〈̂l , k〉β 〈̂∞Y , k〉. . .βˆ∞X

I Build a set U, aiming to prove that X is c.e.I Scan U for errors.

I No errors found - outcome ∞XI An error found at point k - build agitator set Ek for k ,

such that k ∈ X ⇔ Ek ⊂ A,Outcome 〈∞Y , k〉

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The SW Strategy – o− = ∞X

β

β d̂0β 〈̂l , k〉β 〈̂∞Y , k〉. . .βˆ∞X

I Build a set U, aiming to prove that X is c.e.I Scan U for errors.

I No errors found - outcome ∞XI An error found at point k - build agitator set Ek for k ,

such that k ∈ X ⇔ Ek ⊂ A,Outcome 〈∞Y , k〉

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The SW Strategy – o− = ∞X

β

β d̂0β 〈̂l , k〉β 〈̂∞Y , k〉. . .βˆ∞X

I Build a set U, aiming to prove that X is c.e.I Scan U for errors.

I No errors found - outcome ∞XI An error found at point k - build agitator set Ek for k ,

such that k ∈ X ⇔ Ek ⊂ A,Outcome 〈∞Y , k〉

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The SW Strategy – o− = 〈∞Y , k〉

β

β d̂0. . .β 〈̂l , k〉β 〈̂∞Y , k〉βˆ∞X

I Check if the agitator for k is still valid. If not theoutcome is ∞X

I Build a set Vk , aiming to prove that Y is c.e.I Scan Vk for errors.

I No errors - outcome 〈∞Y , k〉I An error found at element l , then build an agitator for

l , enumerate a witness z in D: 〈z, {k}〉 ↘ Φ0 and〈z, {l}〉 ↘ Φ1, outcome d0

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The SW Strategy – o− = 〈∞Y , k〉

β

β d̂0. . .β 〈̂l , k〉β 〈̂∞Y , k〉βˆ∞X

I Check if the agitator for k is still valid. If not theoutcome is ∞X

I Build a set Vk , aiming to prove that Y is c.e.I Scan Vk for errors.

I No errors - outcome 〈∞Y , k〉I An error found at element l , then build an agitator for

l , enumerate a witness z in D: 〈z, {k}〉 ↘ Φ0 and〈z, {l}〉 ↘ Φ1, outcome d0

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The SW Strategy – o− = 〈∞Y , k〉

β

β d̂0. . .β 〈̂l , k〉β 〈̂∞Y , k〉βˆ∞X

I Check if the agitator for k is still valid. If not theoutcome is ∞X

I Build a set Vk , aiming to prove that Y is c.e.I Scan Vk for errors.

I No errors - outcome 〈∞Y , k〉I An error found at element l , then build an agitator for

l , enumerate a witness z in D: 〈z, {k}〉 ↘ Φ0 and〈z, {l}〉 ↘ Φ1, outcome d0

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The SW Strategy – o− = 〈∞Y , k〉

β

β d̂0. . .β 〈̂l , k〉β 〈̂∞Y , k〉βˆ∞X

I Check if the agitator for k is still valid. If not theoutcome is ∞X

I Build a set Vk , aiming to prove that Y is c.e.I Scan Vk for errors.

I No errors - outcome 〈∞Y , k〉I An error found at element l , then build an agitator for

l , enumerate a witness z in D: 〈z, {k}〉 ↘ Φ0 and〈z, {l}〉 ↘ Φ1, outcome d0

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The SW Strategy – o− = 〈∞Y , k〉

β

β d̂0. . .β 〈̂l , k〉β 〈̂∞Y , k〉βˆ∞X

I Check if the agitator for k is still valid. If not theoutcome is ∞X

I Build a set Vk , aiming to prove that Y is c.e.I Scan Vk for errors.

I No errors - outcome 〈∞Y , k〉I An error found at element l , then build an agitator for

l , enumerate a witness z in D: 〈z, {k}〉 ↘ Φ0 and〈z, {l}〉 ↘ Φ1, outcome d0

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The SW Strategy – o− = d0

β

β d̂0β 〈̂l , k〉. . .β 〈̂∞Y , k〉βˆ∞X

I Check if z ∈ W .I If not outcome d0

I If yes, then extract z from D, outcome 〈l , k〉

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The SW Strategy – o− = d0

β

β d̂0β 〈̂l , k〉. . .β 〈̂∞Y , k〉βˆ∞X

I Check if z ∈ W .I If not outcome d0

I If yes, then extract z from D, outcome 〈l , k〉

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The SW Strategy – o− = d0

β

β d̂0β 〈̂l , k〉. . .β 〈̂∞Y , k〉βˆ∞X

I Check if z ∈ W .I If not outcome d0

I If yes, then extract z from D, outcome 〈l , k〉

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The SW Strategy – o− = 〈l , k〉

β

β d̂0β 〈̂l , k〉. . .β 〈̂∞Y , k〉βˆ∞X

I Check if the agitator for k is valid - if not outcome ∞X

I Check if the agitator for l is valid - if not outcome〈∞Y , k〉

I Otherwise - outcome 〈l , k〉

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The SW Strategy – o− = 〈l , k〉

β

β d̂0β 〈̂l , k〉. . .β 〈̂∞Y , k〉βˆ∞X

I Check if the agitator for k is valid - if not outcome ∞X

I Check if the agitator for l is valid - if not outcome〈∞Y , k〉

I Otherwise - outcome 〈l , k〉

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The SW Strategy – o− = 〈l , k〉

β

β d̂0β 〈̂l , k〉. . .β 〈̂∞Y , k〉βˆ∞X

I Check if the agitator for k is valid - if not outcome ∞X

I Check if the agitator for l is valid - if not outcome〈∞Y , k〉

I Otherwise - outcome 〈l , k〉

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The SW Strategy – o− = 〈l , k〉

β

β d̂0β 〈̂l , k〉. . .β 〈̂∞Y , k〉βˆ∞X

I Check if the agitator for k is valid - if not outcome ∞X

I Check if the agitator for l is valid - if not outcome〈∞Y , k〉

I Otherwise - outcome 〈l , k〉

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Local priority

β

. . .〈∞Y , k〉. . .βˆ∞X

γ

I An element k enters U, relying on axiom 〈k , E〉 ∈ Θ0

I γ extracts k from X by extracting some e ∈ E from AI β builds agitator Ek ⊃ E for k and moves to the right.

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Local priority

β

. . .〈∞Y , k〉. . .βˆ∞X

γ

γ′

I A new axiom 〈k , E ′〉 makes Ek invalid and fixes theerror in U

I A new γ′ extracts k from X again by extracting somee ∈ E ′ from A

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Local priority

β

. . .〈∞Y , k〉. . .βˆ∞X

γ

I A computable bijection σ : Γ → N assigns localpriority to GW - strategies below a SW strategy.

I If an element k enters U and σ(γ) > k , then γ isinitialized.

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The Structure Watchedα1

α2

β1

. . .β1̂ 〈∞Y , k〉. . .β1̂ ∞X

β2

I β2 chooses agitators E2 and F2, modifying (Φ0,Φ1)α2

I β1 chooses E1 s.t E2 ⊂ E1 and F2 * E1.I Agitators are chosen more carefully to include all

agitators of nodes with lower priority in thecorresponding subtree

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The Structure Watched

α1

α2

β1

. . .β1̂ 〈∞Y , k〉. . .β1̂ ∞X

β2

I Now (E2 ∪ F2) ⊂ E1, but E2 becomes invalid.I A list Watchedα is kept by all RW strategies. It fixes

mistakes in the operators Φ0 and Φ1

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Bibliography

R. I. Soare, Recursively enumerable sets anddegrees, Springer-Verlag, Heidelberg, 1987.

S. B. Cooper, Computability Theory, Chapman &Hall/CRC Mathematics, Boca Raton, FL, 2004.

P. G. Odifreddi, Classical Recursion Theory, VolumeII, North-Holland/Elsevier, Amsterdam, Lausanne,New York, Oxford, Shannon, Singapore, Tokyo 1999.

K. Copestake, 1-genericity in the enumerationdegrees, J. Symbolic Logic 53 (1988), 878–887.

S. B. Cooper, Andrea Sorbi, Angsheng Li and YueYang, Bounding and nonbounding minimal pairs inthe enumeration degrees, Journal of Symbolic Logic70 (2005), 741-766.