Finite trees as ordinals Herman Ruge Jervell University of Oslo - - PowerPoint PPT Presentation

finite trees as ordinals
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Finite trees as ordinals Herman Ruge Jervell University of Oslo - - PowerPoint PPT Presentation

Finite trees as ordinals Herman Ruge Jervell University of Oslo Honouring Wilfried M unchen April 5, 2008 Typical trees The natural numbers: 0 = Typical trees The natural numbers: 0 = 1 = Typical trees The natural numbers:


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Finite trees as ordinals

Herman Ruge Jervell University of Oslo Honouring Wilfried M¨ unchen April 5, 2008

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Typical trees

The natural numbers: 0 = ·

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Typical trees

The natural numbers: 0 = · 1 = · ·

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Typical trees

The natural numbers: 0 = · 1 = · · 2 = · · ·

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Typical trees

The natural numbers: 0 = · 1 = · · 2 = · · · 3 = · · · ·

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Typical trees

The natural numbers: 0 = · 1 = · · 2 = · · · 3 = · · · · And some ordinals:

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Typical trees

The natural numbers: 0 = · 1 = · · 2 = · · · 3 = · · · · And some ordinals: ω = · · ·

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Typical trees

The natural numbers: 0 = · 1 = · · 2 = · · · 3 = · · · · And some ordinals: ω = · · · ωω = · · · ·

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Typical trees

The natural numbers: 0 = · 1 = · · 2 = · · · 3 = · · · · And some ordinals: ω = · · · ωω = · · · · ǫ0 = · · · ·

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Typical trees

The natural numbers: 0 = · 1 = · · 2 = · · · 3 = · · · · And some ordinals: ω = · · · ωω = · · · · ǫ0 = · · · · Γ0 = · · · · ·

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B A ≤ some immediate subtree of B

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B A ≤ some immediate subtree of B ◮ A < B

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B A ≤ some immediate subtree of B ◮ A < B

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B A ≤ some immediate subtree of B ◮ A < B all immediate subtrees of A are < B

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B A ≤ some immediate subtree of B ◮ A < B all immediate subtrees of A are < B ◮ A < B

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B A ≤ some immediate subtree of B ◮ A < B all immediate subtrees of A are < B ◮ A < B

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B A ≤ some immediate subtree of B ◮ A < B all immediate subtrees of A are < B ◮ A < B lexicographical ordering

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B A ≤ some immediate subtree of B ◮ A < B all immediate subtrees of A are < B ◮ A < B lexicographical ordering

◮ Length of sequences

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The ordering

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ A — sequence of immediate subtrees ◮ A ≤ B A ≤ some immediate subtree of B ◮ A < B all immediate subtrees of A are < B ◮ A < B lexicographical ordering

◮ Length of sequences ◮ Rightmost element where they differ

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Elementary properties

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ Decidable

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Elementary properties

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ Decidable ◮ Transitive

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Elementary properties

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ Decidable ◮ Transitive ◮ Linear

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Elementary properties

A < B ⇔ A ≤ B ∨ (A < B ∧ A < B)

◮ Decidable ◮ Transitive ◮ Linear ◮ Equality is the usual tree equality

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Some ordinal functions

Zero: · = 0

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Some ordinal functions

Zero: · = 0 Successor: · α = α + 1

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Some ordinal functions

Zero: · = 0 Successor: · α = α + 1 Exponentiation: · · α ∼ ωωα where ∼ means we jump over fix points.

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Some ordinal functions

Zero: · = 0 Successor: · α = α + 1 Exponentiation: · · α ∼ ωωα where ∼ means we jump over fix points. In general we get the fix point free n-ary Veblen functions.

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Approximating from below 1

Γ0 = · · · · · Start with immediate subtrees:

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Approximating from below 1

Γ0 = · · · · · Start with immediate subtrees: 0 = · 0 = · 1 = · ·

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Approximating from below 1

Γ0 = · · · · · Start with immediate subtrees: 0 = · 0 = · 1 = · · Use function with smaller arity:

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Approximating from below 1

Γ0 = · · · · · Start with immediate subtrees: 0 = · 0 = · 1 = · · Use function with smaller arity: · α · β γ

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Approximating from below 1

Γ0 = · · · · · Start with immediate subtrees: 0 = · 0 = · 1 = · · Use function with smaller arity: · α · β γ

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Approximating from below 2

Γ0 = · · · · · Less in lexicographical ordering:

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Approximating from below 2

Γ0 = · · · · · Less in lexicographical ordering: · α β ·

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Approximating from below 2

Γ0 = · · · · · Less in lexicographical ordering: · α β · This gives all trees less than Γ0.

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Approximating from below 2

Γ0 = · · · · · Less in lexicographical ordering: · α β · This gives all trees less than Γ0. To get a cofinal set we only need · · γ ·

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Wellfoundedness

◮ Minimal bad argument

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Wellfoundedness

◮ Minimal bad argument

◮ Minimal height

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Wellfoundedness

◮ Minimal bad argument

◮ Minimal height

◮ Induction over wellfounded trees

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Wellfoundedness

◮ Minimal bad argument

◮ Minimal height

◮ Induction over wellfounded trees

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Wellfoundedness

◮ Minimal bad argument

◮ Minimal height

◮ Induction over wellfounded trees

Both arguments are straightforward.

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Further work

Linear extensions of embeddings

◮ Diana Schmidt

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Further work

Linear extensions of embeddings

◮ Diana Schmidt ◮ Linear extensions of topological embeddings of trees

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Further work

Linear extensions of embeddings

◮ Diana Schmidt ◮ Linear extensions of topological embeddings of trees ◮ |A| maximal ordertype

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Further work

Linear extensions of embeddings

◮ Diana Schmidt ◮ Linear extensions of topological embeddings of trees ◮ |A| maximal ordertype

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Further work

Linear extensions of embeddings

◮ Diana Schmidt ◮ Linear extensions of topological embeddings of trees ◮ |A| maximal ordertype

  • ·

A B

· |A| |B| ⊕ · |B| |A| This gives Higmans lemma. Further work gives Kruskals theorem.

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Further work

Finite trees with labels

◮ Wellordered set of labels

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Further work

Finite trees with labels

◮ Wellordered set of labels ◮ Each node has a label

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Further work

Finite trees with labels

◮ Wellordered set of labels ◮ Each node has a label ◮ Ai – sequence of i-subtrees

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Further work

Finite trees with labels

◮ Wellordered set of labels ◮ Each node has a label ◮ Ai – sequence of i-subtrees ◮ Defines <i and <∞

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Further work

Finite trees with labels

◮ Wellordered set of labels ◮ Each node has a label ◮ Ai – sequence of i-subtrees ◮ Defines <i and <∞ ◮ A <i B ⇔ A ≤i Bi ∨ (Ai < B ∨ A <i+ B)

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Further work

Finite trees with labels

◮ Wellordered set of labels ◮ Each node has a label ◮ Ai – sequence of i-subtrees ◮ Defines <i and <∞ ◮ A <i B ⇔ A ≤i Bi ∨ (Ai < B ∨ A <i+ B) ◮ A <∞ B — lexicographical ordering

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Further work

Finite trees with labels

◮ Wellordered set of labels ◮ Each node has a label ◮ Ai – sequence of i-subtrees ◮ Defines <i and <∞ ◮ A <i B ⇔ A ≤i Bi ∨ (Ai < B ∨ A <i+ B) ◮ A <∞ B — lexicographical ordering ◮ Linear wellfounded preorderings

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Further work

Finite trees with labels

◮ Wellordered set of labels ◮ Each node has a label ◮ Ai – sequence of i-subtrees ◮ Defines <i and <∞ ◮ A <i B ⇔ A ≤i Bi ∨ (Ai < B ∨ A <i+ B) ◮ A <∞ B — lexicographical ordering ◮ Linear wellfounded preorderings ◮ Takeutis ordinal diagrams