Main Results
Effectiveness for Planar Dendrites and Dendroids
Takayuki Kihara
Mathematical Institute, Tohoku University
October 29, 2010
Logic seminar in Tohoku University
Introduction Main Results
Backgrounds Preliminaries
Introduction
Every nonemptyΣ
∼ 0
1set inR
n contains a computable point.
Main Results Preliminaries
Introduction
Every nonemptyΣ
∼ 0
1set inR
n contains a computable point. Not every nonemptyΠ0
1set inR
ncontains a computable point.
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.
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?
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.
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.
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 F ⊆ S isΠ0
1 if F =S \
∪e∈Wβe for aΣ01set W .
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 F ⊆ S isΠ0
1 if F =S \
∪e∈Wβe for aΣ01set W .
3 A closed set F ⊆ S isc.e.if{e :F ∩ βe ,∅}isΣ0
1.
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 F ⊆ S isΠ0
1 if F =S \
∪e∈Wβe for aΣ01set W .
3 A closed set F ⊆ S isc.e.if{e :F ∩ βe ,∅}isΣ0
1.
4 A closed set F ⊆ S iscomputableif it is c.e. andΠ0
1.
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 F ⊆ S isΠ0
1 if F =S \
∪e∈Wβe for aΣ01set W .
3 A closed set F ⊆ S isc.e.if{e :F ∩ βe ,∅}isΣ0
1.
4 A closed set F ⊆ S 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.
Introduction Main Results
Backgrounds Preliminaries
Connected
Π01
Sets
Observation
1 Every nonempty (simply) connectedΠ0
1subset F ⊆ R 1
contains a computable point.
Main Results Preliminaries
Connected
Π01
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.
Introduction Main Results
Backgrounds Preliminaries
Connected
Π01
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?
Main Results Preliminaries
An Example of Simply-Connected Planar
Π01
Sets
Example (Penrose)
The Mandelbrot set M is a compact simply-connected planarΠ0 set with a computable point. 1
Introduction Main Results
Backgrounds Preliminaries
An Example of Simply-Connected Planar
Π01
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.
Main Results Preliminaries
An Example of Simply-Connected Planar
Π01
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.)
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) :A ⊇B ∈ 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.
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.
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.
Main Results Preliminaries
✓ ✏
arc
tree
dendrite
dendroid
∞-connected 1-dimensional
simply connected
locally connected
✒ ✑
Introduction Main Results
Backgrounds Preliminaries
Example
We plot a tree T ⊆2<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.
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]).
Introduction Main Results
Not EveryΠ01Dendrite is Almost Computable
Not Every Computable Dendroid Almost Includes aΠ01Dendrite
Effectiveness for Tree-Like Continua
Main Theorem
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.
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.
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.
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.
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.
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.
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.
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.
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.
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:
✓ ✏
n ∈A
n <A n-rising
✒ ✑
n ∈A =⇒an n-rising will bea cut point.
n <A =⇒an n-rising will bea ramification point.
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.
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 T ⊆2<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 T ⊆ 2<Nsuch that D ⊆Ψ(T)holds, and D andΨ(T)has same paths.
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)f ∈ P}
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.
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.
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
n ∈ A
n < A
✒ ✑
n ∈A =⇒any top of an n-rising will bea cut point. n <A =⇒any top of an n-rising will be
inaccessibleby computable dendrites.
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
n ∈ A
n < A
✒ ✑
n ∈A =⇒If a dendrite D passes this n-rising, then Dcontains a topof this n-rising.
n <A =⇒Any computable dendritecontains no topof n-rising.
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.
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 D ⊆H be any computable dendrite.
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 D ⊆H be any computable dendrite.
It suffices to show thatD cannot pass 2 distinct risings.
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 D ⊆H 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 k ≥min{m,n}.
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 D ⊆H 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 k ≥min{m,n}.
Since D isΠ0
1, we can enumerate all k such that D contains no top of any k -rising.
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 D ⊆H 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 k ≥min{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 .
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 D ⊆H 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 k ≥min{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 .
Introduction Main Results
Not EveryΠ01Dendrite is Almost Computable
Not Every Computable Dendroid Almost Includes aΠ01Dendrite
Theorem
Not every computable dendroid almost includes aΠ0
1dendrite.
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.
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.
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.
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.
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.
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.
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.
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.
Introduction Main Results
Not EveryΠ1Dendrite is Almost Computable
Not Every Computable Dendroid Almost Includes aΠ01Dendrite
To prove the theorem, we need the following lemma.
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.
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) = {i ≤ e: x ∈(Vi)e}: The e-state of x. p(e)chooses x to maximize the e-state.
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.
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.
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.
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
✒ ✑
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.
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.
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.
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.
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 .
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.
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.
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.
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.
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.