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(1)

Main Results

Effectiveness for Planar Dendrites and Dendroids

Takayuki Kihara

Mathematical Institute, Tohoku University

October 29, 2010

Logic seminar in Tohoku University

(2)

Introduction Main Results

Backgrounds Preliminaries

Introduction

Every nonemptyΣ

0

1set inR

n contains a computable point.

(3)

Main Results Preliminaries

Introduction

Every nonemptyΣ

0

1set inR

n contains a computable point. Not every nonemptyΠ0

1set inR

ncontains a computable point.

(4)

Introduction Main Results

Backgrounds Preliminaries

Introduction

Every nonemptyΣ

0

1set inR

n contains a computable point. Not every nonemptyΠ0

1set inR

ncontains a computable point. If a nonemptyΠ0

1subset F ⊆ R

1 contains no computable points, then F must bedisconnected.

(5)

Main Results Preliminaries

Introduction

Every nonemptyΣ

0

1set inR

n contains a computable point. Not every nonemptyΠ0

1set inR

ncontains a computable point. If a nonemptyΠ0

1subset F ⊆ R

1 contains no computable points, then F must bedisconnected.

Does there exist a nonempty (simply)connectedΠ0

1set inR n

without computable points?

(6)

Introduction Main Results

Backgrounds Preliminaries

Introduction

Every nonemptyΣ

0

1set inR

n contains a computable point. Not every nonemptyΠ0

1set inR

ncontains a computable point. If a nonemptyΠ0

1subset F ⊆ R

1 contains no computable points, then F must bedisconnected.

Does there exist a nonempty (simply)connectedΠ0

1set inR n

without computable points? The main theme of this talk is

Computability Theory for Connected Spaces.

(7)

Main Results Preliminaries

Computability Theory

Definition

S: a topological T0space with a countable base{βe}.

1 x S iscomputableif the code of its principal filter, {e :x ∈ βe}, isΣ0

1.

(8)

Introduction Main Results

Backgrounds Preliminaries

Computability Theory

Definition

S: a topological T0space with a countable base{βe}.

1 x S iscomputableif the code of its principal filter, {e :x ∈ βe}, isΣ0

1.

2 A closed set FS isΠ0

1 if F =S \

e∈Wβe for aΣ01set W .

(9)

Main Results Preliminaries

Computability Theory

Definition

S: a topological T0space with a countable base{βe}.

1 x S iscomputableif the code of its principal filter, {e :x ∈ βe}, isΣ0

1.

2 A closed set FS isΠ0

1 if F =S \

e∈Wβe for aΣ01set W .

3 A closed set FS isc.e.if{e :F ∩ βe ,∅}isΣ0

1.

(10)

Introduction Main Results

Backgrounds Preliminaries

Computability Theory

Definition

S: a topological T0space with a countable base{βe}.

1 x S iscomputableif the code of its principal filter, {e :x ∈ βe}, isΣ0

1.

2 A closed set FS isΠ0

1 if F =S \

e∈Wβe for aΣ01set W .

3 A closed set FS isc.e.if{e :F ∩ βe ,∅}isΣ0

1.

4 A closed set FS iscomputableif it is c.e. andΠ0

1.

(11)

Main Results Preliminaries

Computability Theory

Definition

S: a topological T0space with a countable base{βe}.

1 x S iscomputableif the code of its principal filter, {e :x ∈ βe}, isΣ0

1.

2 A closed set FS isΠ0

1 if F =S \

e∈Wβe for aΣ01set W .

3 A closed set FS isc.e.if{e :F ∩ βe ,∅}isΣ0

1.

4 A closed set FS iscomputableif it is c.e. andΠ0

1.

Proposition

For a closed set F ⊆ Rn let dF(x) = infy∈Fd(x,y). F isΠ0

1 ⇐⇒ dF is lower semi-computable. F is c.e. ⇐⇒ dF is upper semi-computable.

(12)

Introduction Main Results

Backgrounds Preliminaries

Connected

Π0

1

Sets

Observation

1 Every nonempty (simply) connectedΠ0

1subset F ⊆ R 1

contains a computable point.

(13)

Main Results Preliminaries

Connected

Π0

1

Sets

Observation

1 Every nonempty (simply) connectedΠ0

1subset F ⊆ R 1

contains a computable point.

Observation (Le Roux-Ziegler)

1 There exists a nonempty compact connectedΠ0

1 subset

F ⊆ R2without computable points.

2 There exists a nonempty compact simply connectedΠ0

1

subset F ⊆ R3without computable points.

(14)

Introduction Main Results

Backgrounds Preliminaries

Connected

Π0

1

Sets

Observation

1 Every nonempty (simply) connectedΠ0

1subset F ⊆ R 1

contains a computable point.

Observation (Le Roux-Ziegler)

1 There exists a nonempty compact connectedΠ0

1 subset

F ⊆ R2without computable points.

2 There exists a nonempty compact simply connectedΠ0

1

subset F ⊆ R3without computable points.

Question (Le Roux-Ziegler)

Does every nonempty compact simply connectedΠ0

1subset

F ⊆ R2contains a computable point?

(15)

Main Results Preliminaries

An Example of Simply-Connected Planar

Π0

1

Sets

Example (Penrose)

The Mandelbrot set M is a compact simply-connected planarΠ0 set with a computable point. 1

(16)

Introduction Main Results

Backgrounds Preliminaries

An Example of Simply-Connected Planar

Π0

1

Sets

Example (Penrose)

The Mandelbrot set M is a compact simply-connected planarΠ0 set with a computable point. 1

Penrose Conjecture (in “Emperor’s New Mind”) The Mandelbrot set M is not computable.

(17)

Main Results Preliminaries

An Example of Simply-Connected Planar

Π0

1

Sets

Example (Penrose)

The Mandelbrot set M is a compact simply-connected planarΠ0 set with a computable point. 1

Penrose Conjecture (in “Emperor’s New Mind”) The Mandelbrot set M is not computable.

Theorem (Hertling)

The Penrose Conjecture=⇒ ¬MLC.

(Here, MLC: the Mandelbrot set is locally connected.)

(18)

Introduction Main Results

Backgrounds Preliminaries

Previous Works in Computability Theory for Continua

Definition

1 A Hausdorff distance between nonempty closed subsets A0,A1of a metric space(X,d)is defined by:

dH(A0,A1) =maxi<2supx∈Aiinfy∈B1−id(x,y).

2 A ∈ Palmost includesan element ofQif inf{dH(B,A) :AB ∈ Q}= 0.

3 A ∈ Pisalmost computableif A almost includes a computableP. Theorem (Miller 2002; Iljazovi´c 2009)

1 Every EuclideanΠ0

1sphere (Jordan curve) is computable.

2 EveryΠ0

1 chainable continuum (arc) is almost computable.

3 Not every computable arc almost includes an image of a computable simple curve.

(19)

Main Results Preliminaries

Observation

A closed set A is computable

=⇒A is almost computable

=⇒A has a dense subset consisting of computable points

=⇒A contains a computable point.

Thus, every arc contains many computable points. To give an answer to the Question of Le Roux-Ziegler, we need to study more general planar continua.

(20)

Introduction Main Results

Backgrounds Preliminaries

Continuum Theory

Definition

Let S be a topological space.

1 S isconnectedif it is not union of disjoint open sets.

2 S islocally connectedif it has a base of connected sets.

3 A continuumis a connected compact metric space.

4 S isuniquely arc-connectedif each two points in S is connected by a unique arc.

5 S ishereditary uniquely arc-connectedif every subcontinuum of S is uniquely arc-connected.

6 A dendroidis a hereditary uniquely arc-connected continuum.

7 A dendriteis a locally connected dendroid.

8 A treeis a dendrite with finitely many ramification points.

(21)

Main Results Preliminaries

✓ ✏

arc

tree

dendrite

dendroid

∞-connected 1-dimensional

simply connected

locally connected

✒ ✑

(22)

Introduction Main Results

Backgrounds Preliminaries

Example

We plot a tree T2<Non the Euclidean planeR2. Then the plotted pictureΨ(T) ⊆ R2is a dendrite.

✓ ✏

Protting 2<NonR2. Ψ(2<N)

✒ ✑

Ψ(T)is a tree if T is finite.

HoweverΨ(T)is not a tree if T is infinite. Thus,Ψ(2<N)is a dendrite which is not a tree.

(23)

Main Results Preliminaries

Π01

Dendroids

Example

A Cantor fananda harmonic combare dendroids, but not dendrites.

✓ ✏

Cantor set

Cantor fan Harmonic comb

✒ ✑

Here a harmonic comb is defined by:

([0,1] × {0})(({0} ∪ {1/n :n ∈ N}) × [0,1]).

(24)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Effectiveness for Tree-Like Continua

Main Theorem

(25)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Effectiveness for Tree-Like Continua

Main Theorem

1 EveryΠ0

1 tree is almost computable.

(26)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Effectiveness for Tree-Like Continua

Main Theorem

1 EveryΠ0

1 tree is almost computable.

2 Not every computable dendrite almost includes aΠ0

1 tree.

(27)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Effectiveness for Tree-Like Continua

Main Theorem

1 EveryΠ0

1 tree is almost computable.

2 Not every computable dendrite almost includes aΠ0

1 tree.

3 Not everyΠ0

1dendrite is almost computable.

(28)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Effectiveness for Tree-Like Continua

Main Theorem

1 EveryΠ0

1 tree is almost computable.

2 Not every computable dendrite almost includes aΠ0

1 tree.

3 Not everyΠ0

1dendrite is almost computable.

4 Not every computable dendroid almost includes aΠ0

1dendrite.

(29)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Effectiveness for Tree-Like Continua

Main Theorem

1 EveryΠ0

1 tree is almost computable.

2 Not every computable dendrite almost includes aΠ0

1 tree.

3 Not everyΠ0

1dendrite is almost computable.

4 Not every computable dendroid almost includes aΠ0

1dendrite.

5 Not everyΠ0

1dendroid is almost computable.

(30)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Effectiveness for Tree-Like Continua

Main Theorem

1 EveryΠ0

1 tree is almost computable.

2 Not every computable dendrite almost includes aΠ0

1 tree.

3 Not everyΠ0

1dendrite is almost computable.

4 Not every computable dendroid almost includes aΠ0

1dendrite.

5 Not everyΠ0

1dendroid is almost computable.

6 Not everyΠ0

1dendroid contains a computable point.

(31)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Effectiveness for Tree-Like Continua

Main Theorem

1 EveryΠ0

1 tree is almost computable.

2 Not every computable dendrite almost includes aΠ0

1 tree.

3 Not everyΠ0

1dendrite is almost computable.

4 Not every computable dendroid almost includes aΠ0

1dendrite.

5 Not everyΠ0

1dendroid is almost computable.

6 Not everyΠ0

1dendroid contains a computable point. This is the solution tothe question of Le Roux, and Ziegler.

(32)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Effectiveness for Tree-Like Continua

Main Theorem

1 EveryΠ0

1 tree is almost computable.

2 Not every computable dendrite almost includes aΠ0

1 tree.

3 Not everyΠ0

1dendrite is almost computable.

4 Not every computable dendroid almost includes aΠ0

1dendrite.

5 Not everyΠ0

1dendroid is almost computable.

6 Not everyΠ0

1dendroid contains a computable point. This is the solution to the question of Le Roux, and Ziegler.

(33)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem Not everyΠ0

1dendrite is almost computable.

✓ ✏

Basic Dendrite Approximation of Basic Dendrite

0-rising 1-rising 1-rising

✒ ✑

Basic Dendritehas 2nmanyn-risingsof height 2−n.

(34)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Fix a non-computableΣ0

1set A ⊆ N.

The Basic construction around an n-risingis following:

✓ ✏

nA

n <A n-rising

✒ ✑

nA =⇒an n-rising will bea cut point.

n <A =⇒an n-rising will bea ramification point.

(35)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

To prove the theorem, we need to prepare some tools.

(36)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

To prove the theorem, we need to prepare some tools.

Lemma

1 Every subdendrite ofΨ(2<N)is homeomorphic toΨ(T) for a subtree T2<N.

2 T 2<NisΠ0

1(c.e., computable, resp.) tree iffΨ(T) ⊆ R2 isΠ0

1(c.e., computable, resp.) dendrite.

3 Every computable subdendrite D ⊆ Ψ(2<N)

there exists a computable subtree T2<Nsuch that D ⊆Ψ(T)holds, and D andΨ(T)has same paths.

(37)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Definition (Cenzer, Kihara, Weber and Wu 2009) AΠ0

1 subset P of Cantor space istree-immuneif aΠ0

1tree TPhas

no infinite computable subtree.

Here TP = {σ ∈ 2<N: (∃f ⊃ σ)fP}

Example

The set ofall consistent complete extensions of Peano Arithmetic is tree-immune.

Lemma

Let P be a tree-immuneΠ0

1 subset of Cantor space, and D ⊆Ψ(TP)be any computable subdendrite. Then D contains no path.

(38)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Now we startTrue Construction.

✓ ✏

Approximating basic n-rising Basic n-rising Tree-immuneΠ0

1set

✒ ✑

An n-rising has a copy ofa tree-immuneΠ0

1 setof scale 2

−n.

(39)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Fix a non-computableΣ0

1set A ⊆ N.

The True Construction around an n-risingis following:

✓ ✏

Tree-immuneΠ0

1set

nA

n < A

✒ ✑

nA =⇒any top of an n-rising will bea cut point. n <A =⇒any top of an n-rising will be

inaccessibleby computable dendrites.

(40)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Fix a non-computableΣ0

1set A ⊆ N.

The True Construction around an n-risingis following:

✓ ✏

Tree-immuneΠ0

1set

nA

n < A

✒ ✑

nA =⇒If a dendrite D passes this n-rising, then Dcontains a topof this n-rising.

n <A =⇒Any computable dendritecontains no topof n-rising.

(41)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated) Not everyΠ0

1dendrite is almost computable.

The construction of theΠ0

1dendrite H is completed.

(42)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated) Not everyΠ0

1dendrite is almost computable.

The construction of theΠ0

1dendrite H is completed. Let DH be any computable dendrite.

(43)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated) Not everyΠ0

1dendrite is almost computable.

The construction of theΠ0

1dendrite H is completed. Let DH be any computable dendrite.

It suffices to show thatD cannot pass 2 distinct risings.

(44)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated) Not everyΠ0

1dendrite is almost computable.

The construction of theΠ0

1dendrite H is completed. Let DH be any computable dendrite.

It suffices to show thatD cannot pass 2 distinct risings. If D passes m,n-risings, then D passes a k -rising for all kmin{m,n}.

(45)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated) Not everyΠ0

1dendrite is almost computable.

The construction of theΠ0

1dendrite H is completed. Let DH be any computable dendrite.

It suffices to show thatD cannot pass 2 distinct risings. If D passes m,n-risings, then D passes a k -rising for all kmin{m,n}.

Since D isΠ0

1, we can enumerate all k such that D contains no top of any k -rising.

(46)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated) Not everyΠ0

1dendrite is almost computable.

The construction of theΠ0

1dendrite H is completed. Let DH be any computable dendrite.

It suffices to show thatD cannot pass 2 distinct risings. If D passes m,n-risings, then D passes a k -rising for all kmin{m,n}.

Since D isΠ0

1, we can enumerate all k such that D contains no top of any k -rising.

This enumeration yields the complement of aΣ0

1set A .

(47)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated) Not everyΠ0

1dendrite is almost computable.

The construction of theΠ0

1dendrite H is completed. Let DH be any computable dendrite.

It suffices to show thatD cannot pass 2 distinct risings. If D passes m,n-risings, then D passes a k -rising for all kmin{m,n}.

Since D isΠ0

1, we can enumerate all k such that D contains no top of any k -rising.

This enumeration yields the complement of aΣ0

1set A .

This contradicts non-computability of A .

(48)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem

Not every computable dendroid almost includes aΠ0

1dendrite.

(49)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem

Not every computable dendroid almost includes aΠ0

1dendrite.

We will useharmonic combsin place of the Basic Dendrite.

(50)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem

Not every computable dendroid almost includes aΠ0

1dendrite.

We will useharmonic combsin place of the Basic Dendrite. Before starting the construction, we take account of the fact thattopologist’s sine curveis not path-connected.

(51)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem

Not every computable dendroid almost includes aΠ0

1dendrite.

We will useharmonic combsin place of the Basic Dendrite. Before starting the construction, we take account of the fact thattopologist’s sine curveis not path-connected.

It means that we cannot cut-pointize infinite many risings, on one harmonic comb.

(52)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem

Not every computable dendroid almost includes aΠ0

1dendrite.

We will useharmonic combsin place of the Basic Dendrite. Before starting the construction, we take account of the fact thattopologist’s sine curveis not path-connected.

It means that we cannot cut-pointize infinite many risings, on one harmonic comb.

Our idea is using a computable approximation of a certain limit computable function.

(53)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem

Not every computable dendroid almost includes aΠ0

1dendrite.

We will useharmonic combsin place of the Basic Dendrite. Before starting the construction, we take account of the fact thattopologist’s sine curveis not path-connected.

It means that we cannot cut-pointize infinite many risings, on one harmonic comb.

Our idea is using a computable approximation of a certain limit computable function.

One harmonic comb replaces one rising.

(54)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem

Not every computable dendroid almost includes aΠ0

1dendrite.

We will useharmonic combsin place of the Basic Dendrite. Before starting the construction, we take account of the fact thattopologist’s sine curveis not path-connected.

It means that we cannot cut-pointize infinite many risings, on one harmonic comb.

Our idea is using a computable approximation of a certain limit computable function.

One harmonic comb replaces one rising.

The Basic Dendroidwill be constructed by connecting infinitely many harmonic combs.

(55)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

✓ ✏

Basic Dendroid 0-harmonic comb

1-h.c. 1-h.c.

✒ ✑

Basic Dendroidhas 2n manyn-harmonic combsof height 2−n. Eachn-harmonic combhas infinitely manyrisings.

(56)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

✓ ✏

n-harmonic comb (n,0)-rising

(n,1)-rising

(n,2)-rising

(n, ω)-rising

✒ ✑

Basic Dendroidhas 2n manyn-harmonic combsof height 2−n. Eachn-harmonic combhas(ω +1)-many risings;

They are(n, α)-risings forα < ω+1.

(57)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

To prove the theorem, we need the following lemma.

(58)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

To prove the theorem, we need the following lemma.

Lemma

There exists a limit computable function p such that, for every uniformly c.e. sequence{Un}of cofinite c.e. sets, it holds that p(n) ∈Unfor almost all n.

(59)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

To prove the theorem, we need the following lemma.

Lemma

There exists a limit computable function p such that, for every uniformly c.e. sequence{Un}of cofinite c.e. sets, it holds that p(n) ∈Unfor almost all n.

Proof

{Ve}: an effective enumeration of uniformly c.e. decreasing sequence of c.e. sets.

σ(e,x) = {ie: x ∈(Vi)e}: The e-state of x. p(e)chooses x to maximize the e-state.

(60)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

p =limsps: a limit computable function in the previous lemma. The construction on an n-harmonic combis following:

✓ ✏

ps(n) = m

ps(n) , m (n,m)-rising

✒ ✑

(∃s)ps(n) =m=⇒an(n,m)-rising will bea cut point.

(∀s)ps(n) ,m=⇒an(n,m)-rising will bea ramification point.

(61)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

p =limsps: a limit computable function in the previous lemma. The construction on an n-harmonic combis following:

✓ ✏

ps(n) = m

ps(n) , m (n,m)-rising

✒ ✑

Since p(n) =limsps(n)changes his mind at most finitely often, hecut-pointizes only finitely many risingson an n-harmonic comb.

(62)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

p =limsps: a limit computable function in the previous lemma. The construction on an n-harmonic combis following:

✓ ✏

ps(n) = m

ps(n) , m (n,m)-rising

✒ ✑

Thus each n-harmonic comb, actually, will be homeomorphic to a harmonic comb. The construction yieldscomputable dendroid K.

(63)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Recall that a dendrite is a locally connected dendroid. On a harmonic comb, any top of almost all rising must be inaccessibleby a dendrite.

✓ ✏

Locally connected D n-harmonic comb

D contains tops of only three risings; (n,1)-rising;(n,4)-rising;(n, ω)-rising

✒ ✑

(64)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

✓ ✏

ps(n) = m

ps(n) , m (n,m)-rising

✒ ✑

(∃s)ps(n) =m=⇒any top of an(n,m)-rising will be a cut point.

Meanwhile, any top of almost all risings will beinaccessibleby a given dendrite.

(65)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

✓ ✏

ps(n) = m

ps(n) , m (n,m)-rising

✒ ✑

(∃s)ps(n) =m=⇒If a dendrite D passes an(n,m)-rising, then Dcontains a topof an(n,m)-rising. Meanwhile, any dendritecontains no topof almost all risings.

(66)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

✓ ✏

ps(n) = m

ps(n) , m (n,m)-rising

✒ ✑

UDn: the set of all(n,m)-risings whose top is not accessed by a dendrite D. Then UnD iscofinitefor all n.

If D passes n-harmonic comb thenp(n) <UnD.

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Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated)

Not every computable dendroid almost includes aΠ0

1dendrite.

K : the computable dendroid in the construction.

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Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated)

Not every computable dendroid almost includes aΠ0

1dendrite.

K : the computable dendroid in the construction. D: aΠ0

1 subdendrite of K .

(69)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated)

Not every computable dendroid almost includes aΠ0

1dendrite.

K : the computable dendroid in the construction. D: aΠ0

1 subdendrite of K .

Un: the set of all(n,m)-risings whose top is not accessed by a dendrite D.

(70)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated)

Not every computable dendroid almost includes aΠ0

1dendrite.

K : the computable dendroid in the construction. D: aΠ0

1 subdendrite of K .

Un: the set of all(n,m)-risings whose top is not accessed by a dendrite D.

Un is cofinite by previous observation.

(71)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated)

Not every computable dendroid almost includes aΠ0

1dendrite.

K : the computable dendroid in the construction. D: aΠ0

1 subdendrite of K .

Un: the set of all(n,m)-risings whose top is not accessed by a dendrite D.

Un is cofinite by previous observation. {Un}is uniformly c.e., since D isΠ0

1.

(72)

Introduction Main Results

Not EveryΠ01Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated)

Not every computable dendroid almost includes aΠ0

1dendrite.

K : the computable dendroid in the construction. D: aΠ0

1 subdendrite of K .

Un: the set of all(n,m)-risings whose top is not accessed by a dendrite D.

Un is cofinite by previous observation. {Un}is uniformly c.e., since D isΠ0

1.

It suffices to show thatD cannot pass 2 distinct combs.

(73)

Introduction Main Results

Not EveryΠ1Dendrite is Almost Computable

Not Every Computable Dendroid Almost Includes aΠ01Dendrite

Theorem (Restated)

Not every computable dendroid almost includes aΠ0

1dendrite.

K : the computable dendroid in the construction. D: aΠ0

1 subdendrite of K .

Un: the set of all(n,m)-risings whose top is not accessed by a dendrite D.

Un is cofinite by previous observation. {Un}is uniformly c.e., since D isΠ0

1.

It suffices to show thatD cannot pass 2 distinct combs.

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