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Horrors with and without the Axiom of Choice Tanmay Inamdar - - PowerPoint PPT Presentation

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion Horrors with and without the Axiom of Choice Tanmay Inamdar February 23, 2013 Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion


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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Horrors with and without the Axiom of Choice

Tanmay Inamdar February 23, 2013

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Overview

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Axiom of Choice

Not everyone’s favourite axiom.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Axiom of Choice

Not everyone’s favourite axiom.

Definition

The Axiom of Choice is the following statement: Let I be a set. Let (Xi)i2I be an I-indexed family of non-empty sets. Then there is an I-indexed family (xi)i2I of elements such that for every i 2 I, xi 2 Xi.

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Axiom of Choice

Not everyone’s favourite axiom.

Definition

The Axiom of Choice is the following statement: Let I be a set. Let (Xi)i2I be an I-indexed family of non-empty sets. Then there is an I-indexed family (xi)i2I of elements such that for every i 2 I, xi 2 Xi.

An equivalent: A and B are sets, and f : A ! B a surjection. Then there is an injection g : B ! A such that for every a 2 A, g(f(a)) = a. Con(ZF) Con(ZFC) (G¨

  • del).

Con(ZF) Con(ZF¬C) (Cohen).

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

An axiom alwayz into somethin’

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

An axiom alwayz into somethin’

A non-measurable subset of the real line, R.

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An axiom alwayz into somethin’

A non-measurable subset of the real line, R.

Fun fact: it is consistent with ZFC that any subset of R that you can define is measurable (Foreman-Magidor-Shelah).

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

An axiom alwayz into somethin’

A non-measurable subset of the real line, R.

Fun fact: it is consistent with ZFC that any subset of R that you can define is measurable (Foreman-Magidor-Shelah).

The Banach-Tarski paradox.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

An axiom alwayz into somethin’

A non-measurable subset of the real line, R.

Fun fact: it is consistent with ZFC that any subset of R that you can define is measurable (Foreman-Magidor-Shelah).

The Banach-Tarski paradox.

Let B3 be the unit ball in R3. Then it can be decomposed into finitely many pieces and these pieces rearranged in R3 by only using rotations and translations into two disjoint copies of B3.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

An axiom alwayz into somethin’

A non-measurable subset of the real line, R.

Fun fact: it is consistent with ZFC that any subset of R that you can define is measurable (Foreman-Magidor-Shelah).

The Banach-Tarski paradox.

Let B3 be the unit ball in R3. Then it can be decomposed into finitely many pieces and these pieces rearranged in R3 by only using rotations and translations into two disjoint copies of B3.

But if you think that things are just dandy without AC, wait till we get to the end of the presentation.

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Countable, uncountable

Vocabulary: Countable means “in bijection with N or some n 2 N”.

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Countable, uncountable

Vocabulary: Countable means “in bijection with N or some n 2 N”. E.g. R is uncountable, whereas Q is countable (Cantor).

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Countable, uncountable

Vocabulary: Countable means “in bijection with N or some n 2 N”. E.g. R is uncountable, whereas Q is countable (Cantor). @0 is the ‘size’ of infinite countable sets. @1 is the smallest infinite uncountable size.

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Countable, uncountable

Vocabulary: Countable means “in bijection with N or some n 2 N”. E.g. R is uncountable, whereas Q is countable (Cantor). @0 is the ‘size’ of infinite countable sets. @1 is the smallest infinite uncountable size.

AC implies @0 ⇥ @0 = @0.

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Countable, uncountable

Vocabulary: Countable means “in bijection with N or some n 2 N”. E.g. R is uncountable, whereas Q is countable (Cantor). @0 is the ‘size’ of infinite countable sets. @1 is the smallest infinite uncountable size.

AC implies @0 ⇥ @0 = @0. Aside: CH is the question “Does R have size @1?”

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Basic properties of a measure

Definition

A measure on R is a (possibly partial) function µ : P(R) ! R0 [ {1} satisfying: (i) The lengths of intervals should be intuitive: µ([0, 1]) = 1 (ii) Singletons should be insignificant: µ({⇤}) = 0 (iii) Countable additivity: Let (Sn)n2N be disjoint subsets of

  • R. Then µ(U

n2N Sn) = Σn2Nµ(Sn).

(iv) Translation Invariance: Let S ✓ R and r 2 R. Let T = {s + r; s 2 S}. Then µ(S) = µ(T).

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E0

Definition

The Vitali relation, E0 is defined as follows: for (x, y) ✓ [0, 1] ⇥ [0, 1], say xE0y if (x y) 2 Q.

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E0

Definition

The Vitali relation, E0 is defined as follows: for (x, y) ✓ [0, 1] ⇥ [0, 1], say xE0y if (x y) 2 Q. Observations: (i) Each equivalence class has the same size as Q i.e. @0.

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E0

Definition

The Vitali relation, E0 is defined as follows: for (x, y) ✓ [0, 1] ⇥ [0, 1], say xE0y if (x y) 2 Q. Observations: (i) Each equivalence class has the same size as Q i.e. @0. (ii) So there are uncountably many equivalence classes.

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A non-measurable set

Let V be a selector. Assume(!) it is measurable.

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A non-measurable set

Let V be a selector. Assume(!) it is measurable. Let I ∆ = Q \ [1, 1]. For each q 2 I, let Vq

= V + q, the pointwise translation of each element of V by q.

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A non-measurable set

Let V be a selector. Assume(!) it is measurable. Let I ∆ = Q \ [1, 1]. For each q 2 I, let Vq

= V + q, the pointwise translation of each element of V by q. (i) For every q 2 I6=0, V \ Vq = ;. Also, for each q 2 I, Vq ✓ [1, 2].

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A non-measurable set

Let V be a selector. Assume(!) it is measurable. Let I ∆ = Q \ [1, 1]. For each q 2 I, let Vq

= V + q, the pointwise translation of each element of V by q. (i) For every q 2 I6=0, V \ Vq = ;. Also, for each q 2 I, Vq ✓ [1, 2]. (ii) µ(V ) = µ(Vq). So Σq2Iµ(Vq) = Σq2Iµ(V ).

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A non-measurable set

Let V be a selector. Assume(!) it is measurable. Let I ∆ = Q \ [1, 1]. For each q 2 I, let Vq

= V + q, the pointwise translation of each element of V by q. (i) For every q 2 I6=0, V \ Vq = ;. Also, for each q 2 I, Vq ✓ [1, 2]. (ii) µ(V ) = µ(Vq). So Σq2Iµ(Vq) = Σq2Iµ(V ). (iii) But [0, 1] ✓ U

q2I Vq ✓ [1, 2].

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A non-measurable set

Let V be a selector. Assume(!) it is measurable. Let I ∆ = Q \ [1, 1]. For each q 2 I, let Vq

= V + q, the pointwise translation of each element of V by q. (i) For every q 2 I6=0, V \ Vq = ;. Also, for each q 2 I, Vq ✓ [1, 2]. (ii) µ(V ) = µ(Vq). So Σq2Iµ(Vq) = Σq2Iµ(V ). (iii) But [0, 1] ✓ U

q2I Vq ✓ [1, 2].

(iv) So µ([0, 1])  Σq2Iµ(Vq)  µ([1, 2]).

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A non-measurable set

Let V be a selector. Assume(!) it is measurable. Let I ∆ = Q \ [1, 1]. For each q 2 I, let Vq

= V + q, the pointwise translation of each element of V by q. (i) For every q 2 I6=0, V \ Vq = ;. Also, for each q 2 I, Vq ✓ [1, 2]. (ii) µ(V ) = µ(Vq). So Σq2Iµ(Vq) = Σq2Iµ(V ). (iii) But [0, 1] ✓ U

q2I Vq ✓ [1, 2].

(iv) So µ([0, 1])  Σq2Iµ(Vq)  µ([1, 2]). (v) Therefore, 1  Σq2Iµ(Vq)  3.

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A non-measurable set

Let V be a selector. Assume(!) it is measurable. Let I ∆ = Q \ [1, 1]. For each q 2 I, let Vq

= V + q, the pointwise translation of each element of V by q. (i) For every q 2 I6=0, V \ Vq = ;. Also, for each q 2 I, Vq ✓ [1, 2]. (ii) µ(V ) = µ(Vq). So Σq2Iµ(Vq) = Σq2Iµ(V ). (iii) But [0, 1] ✓ U

q2I Vq ✓ [1, 2].

(iv) So µ([0, 1])  Σq2Iµ(Vq)  µ([1, 2]). (v) Therefore, 1  Σq2Iµ(Vq)  3. (vi) So µ(V ) 0, but Σq2Iµ(Vq) = Σq2Iµ(V )  3. Contradiction.

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Groups

Definition

A group is a set G together with a binary operation • which satisfies the following laws: (i) Closure: If a, b 2 G then a • b 2 G. (ii) Identity: There is an element e 2 G such that for all g 2 G, e • g = g. (iii) Associativity: If a, b, c 2 G, then (a • b) • c = a • (b • c). (iv) Inverse: If a 2 G, then there is an element b 2 G such that a • b = b • a = e.

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Groups

Definition

A group is a set G together with a binary operation • which satisfies the following laws: (i) Closure: If a, b 2 G then a • b 2 G. (ii) Identity: There is an element e 2 G such that for all g 2 G, e • g = g. (iii) Associativity: If a, b, c 2 G, then (a • b) • c = a • (b • c). (iv) Inverse: If a 2 G, then there is an element b 2 G such that a • b = b • a = e. Example: (Z, +, 0). Given a set S, the set of its permutations. SO3, the set of rotations of R3. F2 ✓ SO3.

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Group actions

Definition

Let G be a group and X a set. A (left) group action of G on X is a binary operator : G ⇥ X ! X satisfying the following laws: (i) Associativity: If g, h 2 G and x 2 X, (g • h) x = g (h x). (ii) Identity: If x 2 X, e x = x.

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Group actions

Definition

Let G be a group and X a set. A (left) group action of G on X is a binary operator : G ⇥ X ! X satisfying the following laws: (i) Associativity: If g, h 2 G and x 2 X, (g • h) x = g (h x). (ii) Identity: If x 2 X, e x = x. Example: Any group acting on itself. Given a set S, any subgroup of its permutation group, acting on S. SO3, acting on R3.

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Decomposing and Assembling

Let G act on X. Let E, F subsets of X. Say E and F are equidecomposable via G with m pieces (denoted E sG F) if : (i) There are g1, · · · gm in G and A1, · · · Am pairwise disjoint subsets of E such that: (ii) E = U

im Ai and F = U im giAi.

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Decomposing and Assembling

Let G act on X. Let E, F subsets of X. Say E and F are equidecomposable via G with m pieces (denoted E sG F) if : (i) There are g1, · · · gm in G and A1, · · · Am pairwise disjoint subsets of E such that: (ii) E = U

im Ai and F = U im giAi.

E is paradoxical if F = E ] E.

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Decomposing and Assembling

Let G act on X. Let E, F subsets of X. Say E and F are equidecomposable via G with m pieces (denoted E sG F) if : (i) There are g1, · · · gm in G and A1, · · · Am pairwise disjoint subsets of E such that: (ii) E = U

im Ai and F = U im giAi.

E is paradoxical if F = E ] E. If X is the group G itself, call G paradoxical if G = G ] G.

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Decomposing and Assembling

Let G act on X. Let E, F subsets of X. Say E and F are equidecomposable via G with m pieces (denoted E sG F) if : (i) There are g1, · · · gm in G and A1, · · · Am pairwise disjoint subsets of E such that: (ii) E = U

im Ai and F = U im giAi.

E is paradoxical if F = E ] E. If X is the group G itself, call G paradoxical if G = G ] G. Aside: Amenable groups.

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The broken circle

Example: S1 a proper circle and S1 \ {⇤} a broken circle, then S1 \ {⇤} s S1 via SO2, the group of rotations of R2 with 2 pieces.

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The broken circle

Example: S1 a proper circle and S1 \ {⇤} a broken circle, then S1 \ {⇤} s S1 via SO2, the group of rotations of R2 with 2 pieces. (i) Recall the Hilbert Hotel.

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The broken circle

Example: S1 a proper circle and S1 \ {⇤} a broken circle, then S1 \ {⇤} s S1 via SO2, the group of rotations of R2 with 2 pieces. (i) Recall the Hilbert Hotel. (ii) Want: one rotation to do all this moving around. Let the missing point be 1 = ei0. Then ei does exactly that.

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The broken circle

Example: S1 a proper circle and S1 \ {⇤} a broken circle, then S1 \ {⇤} s S1 via SO2, the group of rotations of R2 with 2 pieces. (i) Recall the Hilbert Hotel. (ii) Want: one rotation to do all this moving around. Let the missing point be 1 = ei0. Then ei does exactly that.

2⇡ is irrational so this rotation freely generates an infinite set. That is, eim 6= ein for m 6= n.

(iii) To be precise, our two sets are: A ∆ = {ein; n 2 N+} and B ∆ = (S1 \ {⇤}) \ A.

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The broken circle

Example: S1 a proper circle and S1 \ {⇤} a broken circle, then S1 \ {⇤} s S1 via SO2, the group of rotations of R2 with 2 pieces. (i) Recall the Hilbert Hotel. (ii) Want: one rotation to do all this moving around. Let the missing point be 1 = ei0. Then ei does exactly that.

2⇡ is irrational so this rotation freely generates an infinite set. That is, eim 6= ein for m 6= n.

(iii) To be precise, our two sets are: A ∆ = {ein; n 2 N+} and B ∆ = (S1 \ {⇤}) \ A. (iv) It is easy to see that S1 = (eiA) ] B.

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The broken circle

Example: S1 a proper circle and S1 \ {⇤} a broken circle, then S1 \ {⇤} s S1 via SO2, the group of rotations of R2 with 2 pieces. (i) Recall the Hilbert Hotel. (ii) Want: one rotation to do all this moving around. Let the missing point be 1 = ei0. Then ei does exactly that.

2⇡ is irrational so this rotation freely generates an infinite set. That is, eim 6= ein for m 6= n.

(iii) To be precise, our two sets are: A ∆ = {ein; n 2 N+} and B ∆ = (S1 \ {⇤}) \ A. (iv) It is easy to see that S1 = (eiA) ] B.

e−i sends ei(n+1) to ein.

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F2

Definition

The free group on the 2 generators {a, b} is defined as follows: (i) The base set consists of all finite strings that can be formed from the alphabet {a, a1, b, b1} which do not contain the substrings aa1, a1a, bb1, b1b. (ii) The identity element is the empty string, denoted by ✏ or e. (iii) The group operation is defined as follows: Let u and v be two strings. Then u • v is the string w obtained by first concatenating u and v and then replacing all occurences of the substrings aa1, a1a, bb1, b1b by the empty string.

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F2

Definition

The free group on the 2 generators {a, b} is defined as follows: (i) The base set consists of all finite strings that can be formed from the alphabet {a, a1, b, b1} which do not contain the substrings aa1, a1a, bb1, b1b. (ii) The identity element is the empty string, denoted by ✏ or e. (iii) The group operation is defined as follows: Let u and v be two strings. Then u • v is the string w obtained by first concatenating u and v and then replacing all occurences of the substrings aa1, a1a, bb1, b1b by the empty string. All free groups on 2 generators are isomorphic.

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F2

Definition

The free group on the 2 generators {a, b} is defined as follows: (i) The base set consists of all finite strings that can be formed from the alphabet {a, a1, b, b1} which do not contain the substrings aa1, a1a, bb1, b1b. (ii) The identity element is the empty string, denoted by ✏ or e. (iii) The group operation is defined as follows: Let u and v be two strings. Then u • v is the string w obtained by first concatenating u and v and then replacing all occurences of the substrings aa1, a1a, bb1, b1b by the empty string. All free groups on 2 generators are isomorphic. Aside: The free group on 1 generator is isomorphic to (Z, +, 0).

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F2

Definition

The free group on the 2 generators {a, b} is defined as follows: (i) The base set consists of all finite strings that can be formed from the alphabet {a, a1, b, b1} which do not contain the substrings aa1, a1a, bb1, b1b. (ii) The identity element is the empty string, denoted by ✏ or e. (iii) The group operation is defined as follows: Let u and v be two strings. Then u • v is the string w obtained by first concatenating u and v and then replacing all occurences of the substrings aa1, a1a, bb1, b1b by the empty string. All free groups on 2 generators are isomorphic. Aside: The free group on 1 generator is isomorphic to (Z, +, 0). But this is not the same as (Z ⇥ Z, (+, +), (0, 0)).

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A picture of F2

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Deconstructing F2, Reconstructing F2, F2

F2 is paradoxical with 4 pieces.

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Deconstructing F2, Reconstructing F2, F2

F2 is paradoxical with 4 pieces. (i) Let Ga be the elements of F2 which start with a.

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Deconstructing F2, Reconstructing F2, F2

F2 is paradoxical with 4 pieces. (i) Let Ga be the elements of F2 which start with a. (ii) Then F2 = {e} [ Ga [ Ga−1 [ Gb [ Gb−1.

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Deconstructing F2, Reconstructing F2, F2

F2 is paradoxical with 4 pieces. (i) Let Ga be the elements of F2 which start with a. (ii) Then F2 = {e} [ Ga [ Ga−1 [ Gb [ Gb−1. (iii) Notice that F2 = Ga ] aGa−1 and F2 = Gb ] bGb−1. But e is still troubling us.

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Deconstructing F2, Reconstructing F2, F2

F2 is paradoxical with 4 pieces. (i) Let Ga be the elements of F2 which start with a. (ii) Then F2 = {e} [ Ga [ Ga−1 [ Gb [ Gb−1. (iii) Notice that F2 = Ga ] aGa−1 and F2 = Gb ] bGb−1. But e is still troubling us. (iv) So consider G1

= Ga [ {e, a1, a2, a3 · · · } G2

= Ga−1 \ {e, a1, a2, a3 · · · } G3

= Gb G4

= Gb−1

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Deconstructing F2, Reconstructing F2, F2

F2 is paradoxical with 4 pieces. (i) Let Ga be the elements of F2 which start with a. (ii) Then F2 = {e} [ Ga [ Ga−1 [ Gb [ Gb−1. (iii) Notice that F2 = Ga ] aGa−1 and F2 = Gb ] bGb−1. But e is still troubling us. (iv) So consider G1

= Ga [ {e, a1, a2, a3 · · · } G2

= Ga−1 \ {e, a1, a2, a3 · · · } G3

= Gb G4

= Gb−1 (v) Easy to verify that F2 = G1 ] aG2 = G3 ] bG4.

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Another picture of F2

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Hausdorff Paradox

(AC) Hausdorff Paradox: There is a countable set D such that F2 acts on S2 \ D paradoxically with 4 pieces.

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Hausdorff Paradox

(AC) Hausdorff Paradox: There is a countable set D such that F2 acts on S2 \ D paradoxically with 4 pieces. (i) Let D ∆ = {x 2 S2; 9f 2 F2(f • x = x)}. (ii) Let G1, G2, G3, G4 be as previously.

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Hausdorff Paradox

(AC) Hausdorff Paradox: There is a countable set D such that F2 acts on S2 \ D paradoxically with 4 pieces. (i) Let D ∆ = {x 2 S2; 9f 2 F2(f • x = x)}. (ii) Let G1, G2, G3, G4 be as previously. (iii) The following is then an equivalence relation on S2 \ D: x ⇠ y iff there is a f 2 F2 such that f x = y.

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Hausdorff Paradox

(AC) Hausdorff Paradox: There is a countable set D such that F2 acts on S2 \ D paradoxically with 4 pieces. (i) Let D ∆ = {x 2 S2; 9f 2 F2(f • x = x)}. (ii) Let G1, G2, G3, G4 be as previously. (iii) The following is then an equivalence relation on S2 \ D: x ⇠ y iff there is a f 2 F2 such that f x = y. (iv) Let X be a selector. So S2 \ D = U

x2X F2x.

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Hausdorff Paradox

(AC) Hausdorff Paradox: There is a countable set D such that F2 acts on S2 \ D paradoxically with 4 pieces. (i) Let D ∆ = {x 2 S2; 9f 2 F2(f • x = x)}. (ii) Let G1, G2, G3, G4 be as previously. (iii) The following is then an equivalence relation on S2 \ D: x ⇠ y iff there is a f 2 F2 such that f x = y. (iv) Let X be a selector. So S2 \ D = U

x2X F2x.

(v) But F2x = (G1x ] aG2x).

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Hausdorff Paradox

(AC) Hausdorff Paradox: There is a countable set D such that F2 acts on S2 \ D paradoxically with 4 pieces. (i) Let D ∆ = {x 2 S2; 9f 2 F2(f • x = x)}. (ii) Let G1, G2, G3, G4 be as previously. (iii) The following is then an equivalence relation on S2 \ D: x ⇠ y iff there is a f 2 F2 such that f x = y. (iv) Let X be a selector. So S2 \ D = U

x2X F2x.

(v) But F2x = (G1x ] aG2x). (vi) Then Ωi

= U

x2X Gix for i 2 {1, 2, 3, 4} do the job.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Hausdorff Paradox

(AC) Hausdorff Paradox: There is a countable set D such that F2 acts on S2 \ D paradoxically with 4 pieces. (i) Let D ∆ = {x 2 S2; 9f 2 F2(f • x = x)}. (ii) Let G1, G2, G3, G4 be as previously. (iii) The following is then an equivalence relation on S2 \ D: x ⇠ y iff there is a f 2 F2 such that f x = y. (iv) Let X be a selector. So S2 \ D = U

x2X F2x.

(v) But F2x = (G1x ] aG2x). (vi) Then Ωi

= U

x2X Gix for i 2 {1, 2, 3, 4} do the job.

(vii) Hence, S2 \ D = Ω1 ] aΩ2 = Ω3 ] bΩ4.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

S2 s S2 \ D

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

S2 s S2 \ D

(i) A higher dimensional Hilbert Hotel trick.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

S2 s S2 \ D

(i) A higher dimensional Hilbert Hotel trick. (ii) Fix a line l through the origin not intersecting D.

(a) Only countably many angles ✓ such that for some n > 0 ⇢n

l,θ(D) \ D 6= ;.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

S2 s S2 \ D

(i) A higher dimensional Hilbert Hotel trick. (ii) Fix a line l through the origin not intersecting D.

(a) Only countably many angles ✓ such that for some n > 0 ⇢n

l,θ(D) \ D 6= ;.

(b) Choose some other angle. Let R be the corresponding rotation.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

S2 s S2 \ D

(i) A higher dimensional Hilbert Hotel trick. (ii) Fix a line l through the origin not intersecting D.

(a) Only countably many angles ✓ such that for some n > 0 ⇢n

l,θ(D) \ D 6= ;.

(b) Choose some other angle. Let R be the corresponding rotation. (c) Then any two elements of D are in separate R-orbits.

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SLIDE 67

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

S2 s S2 \ D

(i) A higher dimensional Hilbert Hotel trick. (ii) Fix a line l through the origin not intersecting D.

(a) Only countably many angles ✓ such that for some n > 0 ⇢n

l,θ(D) \ D 6= ;.

(b) Choose some other angle. Let R be the corresponding rotation. (c) Then any two elements of D are in separate R-orbits. (d) That is, RiD \ RjD = ; whenever i 6= j.

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SLIDE 68

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

S2 s S2 \ D

(i) A higher dimensional Hilbert Hotel trick. (ii) Fix a line l through the origin not intersecting D.

(a) Only countably many angles ✓ such that for some n > 0 ⇢n

l,θ(D) \ D 6= ;.

(b) Choose some other angle. Let R be the corresponding rotation. (c) Then any two elements of D are in separate R-orbits. (d) That is, RiD \ RjD = ; whenever i 6= j.

(iii) Then, Σ2

= D [ RD [ R2D · · · ; and Σ1

= S2 \ Σ2.

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SLIDE 69

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

S2 s S2 \ D

(i) A higher dimensional Hilbert Hotel trick. (ii) Fix a line l through the origin not intersecting D.

(a) Only countably many angles ✓ such that for some n > 0 ⇢n

l,θ(D) \ D 6= ;.

(b) Choose some other angle. Let R be the corresponding rotation. (c) Then any two elements of D are in separate R-orbits. (d) That is, RiD \ RjD = ; whenever i 6= j.

(iii) Then, Σ2

= D [ RD [ R2D · · · ; and Σ1

= S2 \ Σ2. (iv) It can be verified that S2 = Σ1 ] Σ2 and S2 \ D = Σ1 ] RΣ2.

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SLIDE 70

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Recap

Things we’ve done so far:

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Recap

Things we’ve done so far: (i) S1 s (S1 \ {⇤}) (2 pieces).

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SLIDE 72

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Recap

Things we’ve done so far: (i) S1 s (S1 \ {⇤}) (2 pieces). (ii) (S2 \ D) s (S2 \ D) ] (S2 \ D) (4 pieces).

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SLIDE 73

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Recap

Things we’ve done so far: (i) S1 s (S1 \ {⇤}) (2 pieces). (ii) (S2 \ D) s (S2 \ D) ] (S2 \ D) (4 pieces). (iii) S2 s (S2 \ D) (2 pieces).

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SLIDE 74

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Recap

Things we’ve done so far: (i) S1 s (S1 \ {⇤}) (2 pieces). (ii) (S2 \ D) s (S2 \ D) ] (S2 \ D) (4 pieces). (iii) S2 s (S2 \ D) (2 pieces). What this gives us:

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SLIDE 75

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Recap

Things we’ve done so far: (i) S1 s (S1 \ {⇤}) (2 pieces). (ii) (S2 \ D) s (S2 \ D) ] (S2 \ D) (4 pieces). (iii) S2 s (S2 \ D) (2 pieces). What this gives us: S2 s (S2 \ D) s (S2 \ D) ] (S2 \ D) s S2 ] S2.

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SLIDE 76

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Recap

Things we’ve done so far: (i) S1 s (S1 \ {⇤}) (2 pieces). (ii) (S2 \ D) s (S2 \ D) ] (S2 \ D) (4 pieces). (iii) S2 s (S2 \ D) (2 pieces). What this gives us: S2 s (S2 \ D) s (S2 \ D) ] (S2 \ D) s S2 ] S2. So S2 s S2 ] S2.

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SLIDE 77

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Recap

Things we’ve done so far: (i) S1 s (S1 \ {⇤}) (2 pieces). (ii) (S2 \ D) s (S2 \ D) ] (S2 \ D) (4 pieces). (iii) S2 s (S2 \ D) (2 pieces). What this gives us: S2 s (S2 \ D) s (S2 \ D) ] (S2 \ D) s S2 ] S2. So S2 s S2 ] S2. And the number of pieces we’ve needed is 8.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

There or nearabouts

Things we’ve done, and things we can do with them.

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SLIDE 79

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

There or nearabouts

Things we’ve done, and things we can do with them.

We have S2 s S2 ] S2.

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SLIDE 80

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

There or nearabouts

Things we’ve done, and things we can do with them.

We have S2 s S2 ] S2. But B3 \ {0} = S2 ⇥ (0, 1]!

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SLIDE 81

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

There or nearabouts

Things we’ve done, and things we can do with them.

We have S2 s S2 ] S2. But B3 \ {0} = S2 ⇥ (0, 1]! So B3 \ {0} s (B3 \ {0}) ] (B3 \ {0}).

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SLIDE 82

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

There or nearabouts

Things we’ve done, and things we can do with them.

We have S2 s S2 ] S2. But B3 \ {0} = S2 ⇥ (0, 1]! So B3 \ {0} s (B3 \ {0}) ] (B3 \ {0}).

So B3 \ {0} s B3 would do the job.

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SLIDE 83

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

There or nearabouts

Things we’ve done, and things we can do with them.

We have S2 s S2 ] S2. But B3 \ {0} = S2 ⇥ (0, 1]! So B3 \ {0} s (B3 \ {0}) ] (B3 \ {0}).

So B3 \ {0} s B3 would do the job. But this easily follows from S1 \ {⇤} s S1.

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SLIDE 84

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The Banach-Tarski “Paradox”

B3 is G3-paradoxical.

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SLIDE 85

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The Banach-Tarski “Paradox”

B3 is G3-paradoxical.

This also shows that there is no finitely additive total measure on Rn for n 3.

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SLIDE 86

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The Banach-Tarski “Paradox”

B3 is G3-paradoxical.

This also shows that there is no finitely additive total measure on Rn for n 3. Stronger version: Let A and B be bounded sets in Rn, n 3 with non-empty interior. Then A sG3 B.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The Banach-Tarski “Paradox”

B3 is G3-paradoxical.

This also shows that there is no finitely additive total measure on Rn for n 3. Stronger version: Let A and B be bounded sets in Rn, n 3 with non-empty interior. Then A sG3 B.

Something weaker than AC suffices, G¨

  • del’s Completeness
  • Theorem. Or the Compactness Theorem for First-order Logic.

Both of these are equivalent to what is called the Ultrafilter Lemma (Henkin).

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SLIDE 88

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The Banach-Tarski “Paradox”

B3 is G3-paradoxical.

This also shows that there is no finitely additive total measure on Rn for n 3. Stronger version: Let A and B be bounded sets in Rn, n 3 with non-empty interior. Then A sG3 B.

Something weaker than AC suffices, G¨

  • del’s Completeness
  • Theorem. Or the Compactness Theorem for First-order Logic.

Both of these are equivalent to what is called the Ultrafilter Lemma (Henkin). Whoops?

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SLIDE 89

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The Banach-Tarski “Paradox”

B3 is G3-paradoxical.

This also shows that there is no finitely additive total measure on Rn for n 3. Stronger version: Let A and B be bounded sets in Rn, n 3 with non-empty interior. Then A sG3 B.

Something weaker than AC suffices, G¨

  • del’s Completeness
  • Theorem. Or the Compactness Theorem for First-order Logic.

Both of these are equivalent to what is called the Ultrafilter Lemma (Henkin). Whoops?

Aside: The Downward L¨

  • wenheim-Skolem theorem is equivalent to

AC (Tarski).

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SLIDE 90

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Notions of size

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SLIDE 91

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Notions of size

(i) f : A ! B, injective, then say |A|  |B|.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Notions of size

(i) f : A ! B, injective, then say |A|  |B|. (ii) Clearly, the notion is transitive and reflexive.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Notions of size

(i) f : A ! B, injective, then say |A|  |B|. (ii) Clearly, the notion is transitive and reflexive. (iii) AC is equivalent to: A and B are sets, then either |A| < |B| or |B| > |A| or |A| = |B|.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Notions of size

(i) f : A ! B, injective, then say |A|  |B|. (ii) Clearly, the notion is transitive and reflexive. (iii) AC is equivalent to: A and B are sets, then either |A| < |B| or |B| > |A| or |A| = |B|. (iv) That is, this notion of size is a total order.

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SLIDE 95

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Notions of size

(i) f : A ! B, injective, then say |A|  |B|. (ii) Clearly, the notion is transitive and reflexive. (iii) AC is equivalent to: A and B are sets, then either |A| < |B| or |B| > |A| or |A| = |B|. (iv) That is, this notion of size is a total order. (v) Aside: AC says that R has a definite size in this sense, but this size can be almost anything by Cohen.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The horrors in earnest

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SLIDE 97

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The horrors in earnest

There can be infinite sets which have no subset of size @0 (Cohen).

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SLIDE 98

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The horrors in earnest

There can be infinite sets which have no subset of size @0 (Cohen).

@0 is no longer the smallest infinite cardinality, since there may be infinite sets which are incomparable with @0.

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SLIDE 99

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The horrors in earnest

There can be infinite sets which have no subset of size @0 (Cohen).

@0 is no longer the smallest infinite cardinality, since there may be infinite sets which are incomparable with @0. In fact, all partial orders can be embedded as cardinalities.

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SLIDE 100

Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

The horrors in earnest

There can be infinite sets which have no subset of size @0 (Cohen).

@0 is no longer the smallest infinite cardinality, since there may be infinite sets which are incomparable with @0. In fact, all partial orders can be embedded as cardinalities.

Let I be a set and for every i 2 I, Xi a non-empty set. Then without AC, Q

i2I Xi may be empty.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

What about the trees?

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

What about the trees?

(i) Without AC, there can be an infinite tree with no leaves, but no infinite paths either.

Each finite path can be extended by one node, but no path goes on forever. K¨

  • nig’s lemma may fail.

Aside: So may Ramsey’s theorem.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

What about the trees?

(i) Without AC, there can be an infinite tree with no leaves, but no infinite paths either.

Each finite path can be extended by one node, but no path goes on forever. K¨

  • nig’s lemma may fail.

Aside: So may Ramsey’s theorem.

(ii) Without DC (the same as the above statement about trees), it is not possible to develop a satisfactory theory of real analysis or measure theory.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

More parts than there are elements

Sierpinski: Either there is a non-measurable subset of R or R has a surjection onto a (strictly) larger set. In the original proof, the larger set is E0 actually.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

More parts than there are elements

Sierpinski: Either there is a non-measurable subset of R or R has a surjection onto a (strictly) larger set. In the original proof, the larger set is E0 actually. (i) Assume all subsets of R are measurable. Then !1 ⇥ 2ω by Raisonnier. (ii) Then @1 + 2ω > 2ω. The injection from right to left is

  • trivial. The reverse injection is not possible.

(iii) But there is a partion of 2ω (actually P(! + !)) into @1 + 2ω many parts. Two well-ordering of ! are mapped to the same set if their ordertype is the same, non-wellorderings are mapped to singletons.

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

How I learned to stop worrying and...

  • 1. R may be a countable union of countable sets

(Feferman-L´ evy). But not countable, by Cantor’s theorem!

  • 2. @1 can be a large cardinal (Jech).
  • 3. @1 can be a countable union of countable sets (L´

evy).

  • 4. Every infinite set may be a countable union of smaller sets

(Gitik).

  • 5. There is a model of ZF in which there is no function C

with the following properties: for all X and Y ,

(i) C(X) = C(Y ) if and only if |X| = |Y | (ii) |C(X)| = |X|

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Introduction Vitali Construction Banach-Tarski Horrors without AC Conclusion

Be careful! :-)

There is richer structure without AC, somewhat similar to the greater structure in Intuitionistic Logic.

To extend the analogy further, weak forms of AC play the part of weak forms of LEM. Aside: In a set theory with AC, you can show that LEM (or weaker forms) holds (Diaconescu/Goodman-Myhill).

But perhaps this is too much structure? And counterintuitive structure at times. The Axiom of Choice is a subtle beast. Use it, but with care.