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Sidkis Conjecture; showing finiteness of group presentations using - - PowerPoint PPT Presentation

Introduction Geometries and amalgams Sidkis problem Sidkis Conjecture; showing finiteness of group presentations using amalgams Justin M c Inroy University of Leicester 4 th August 2013, Groups St Andrews Joint work with Sergey


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SLIDE 1

Introduction Geometries and amalgams Sidki’s problem

Sidki’s Conjecture; showing finiteness of group presentations using amalgams

Justin McInroy

University of Leicester

4th August 2013, Groups St Andrews Joint work with Sergey Shpectorov (University of Birmingham)

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SLIDE 2

Introduction Geometries and amalgams Sidki’s problem

Some presentations

The following is a well-known presentation for the Alternating group Am+2: a1, . . . , am : a3

i = 1, ∀i, (aiaj)2 = 1, i = j

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SLIDE 3

Introduction Geometries and amalgams Sidki’s problem

Some presentations

The following is a well-known presentation for the Alternating group Am+2: a1, . . . , am : a3

i = 1, ∀i, (aiaj)2 = 1, i = j

(Think of the ai as being (1, 2, i + 2)). It was given by Carmichael in 1923.

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SLIDE 4

Introduction Geometries and amalgams Sidki’s problem

Some presentations

The following is a well-known presentation for the Alternating group Am+2: a1, . . . , am : a3

i = 1, ∀i, (aiaj)2 = 1, i = j

(Think of the ai as being (1, 2, i + 2)). It was given by Carmichael in 1923. In 1982, Sidki generalised this to: Y (m, n) := a1, . . . , am : an

i = 1, ∀i, (as i as j )2 = 1, i = j, ∀s

2 / 21

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SLIDE 5

Introduction Geometries and amalgams Sidki’s problem

Some presentations

The following is a well-known presentation for the Alternating group Am+2: a1, . . . , am : a3

i = 1, ∀i, (aiaj)2 = 1, i = j

(Think of the ai as being (1, 2, i + 2)). It was given by Carmichael in 1923. In 1982, Sidki generalised this to: Y (m, n) := a1, . . . , am : an

i = 1, ∀i, (as i as j )2 = 1, i = j, ∀s

Conjecture:

2 / 21

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SLIDE 6

Introduction Geometries and amalgams Sidki’s problem

Some presentations

The following is a well-known presentation for the Alternating group Am+2: a1, . . . , am : a3

i = 1, ∀i, (aiaj)2 = 1, i = j

(Think of the ai as being (1, 2, i + 2)). It was given by Carmichael in 1923. In 1982, Sidki generalised this to: Y (m, n) := a1, . . . , am : an

i = 1, ∀i, (as i as j )2 = 1, i = j, ∀s

Conjecture: This presentation is finite.

2 / 21

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SLIDE 7

Introduction Geometries and amalgams Sidki’s problem

Known results

There are some known results for small values of n and m.

3 / 21

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SLIDE 8

Introduction Geometries and amalgams Sidki’s problem

Known results

There are some known results for small values of n and m.

◮ Y (m, 2) is elementary abelian of order 2m

3 / 21

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SLIDE 9

Introduction Geometries and amalgams Sidki’s problem

Known results

There are some known results for small values of n and m.

◮ Y (m, 2) is elementary abelian of order 2m ◮ Y (m, 3) is Carmichael’s presentation for the alternating group

3 / 21

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SLIDE 10

Introduction Geometries and amalgams Sidki’s problem

Known results

There are some known results for small values of n and m.

◮ Y (m, 2) is elementary abelian of order 2m ◮ Y (m, 3) is Carmichael’s presentation for the alternating group ◮ Y (1, n) is Cn (!)

3 / 21

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SLIDE 11

Introduction Geometries and amalgams Sidki’s problem

Known results

There are some known results for small values of n and m.

◮ Y (m, 2) is elementary abelian of order 2m ◮ Y (m, 3) is Carmichael’s presentation for the alternating group ◮ Y (1, n) is Cn (!) ◮ Y (2, n) is a metabelian group of order 2n−1n by a result of

  • Coxeter. It is equal to the augmentation ideal I2,n of F2Cn

extended by Cn.

3 / 21

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SLIDE 12

Introduction Geometries and amalgams Sidki’s problem

Known results

There are some known results for small values of n and m.

◮ Y (m, 2) is elementary abelian of order 2m ◮ Y (m, 3) is Carmichael’s presentation for the alternating group ◮ Y (1, n) is Cn (!) ◮ Y (2, n) is a metabelian group of order 2n−1n by a result of

  • Coxeter. It is equal to the augmentation ideal I2,n of F2Cn

extended by Cn.

◮ If n|n′, then Y (m, n) is a quotient of Y (m, n′)

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Introduction Geometries and amalgams Sidki’s problem

A new presentation

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SLIDE 14

Introduction Geometries and amalgams Sidki’s problem

A new presentation

Define: y(m, n) := a, Sm : an = 1, [(1, 2)as, (1, 2)] = 1 ∀s (1, 2)1+a+···+an−1 = 1, a(i,i+1) = a−1 for 2 ≤ i ≤ m − 1

4 / 21

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SLIDE 15

Introduction Geometries and amalgams Sidki’s problem

A new presentation

Define: y(m, n) := a, Sm : an = 1, [(1, 2)as, (1, 2)] = 1 ∀s (1, 2)1+a+···+an−1 = 1, a(i,i+1) = a−1 for 2 ≤ i ≤ m − 1 For n odd, Sidki showed that Y (m, n) ∼ = y(m, n).

4 / 21

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Introduction Geometries and amalgams Sidki’s problem

An embedding

When m = 3, consider the following map: a → α α−1

  • ,

(1, 2) → 1 1 1

  • ,

(2, 3) → 1 1

  • where α is an element of order n in a field F of characteristic 2.

5 / 21

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Introduction Geometries and amalgams Sidki’s problem

An embedding

When m = 3, consider the following map: a → α α−1

  • ,

(1, 2) → 1 1 1

  • ,

(2, 3) → 1 1

  • where α is an element of order n in a field F of characteristic 2.

These matrices satisfy the desired relations, so this is a representation which embeds y(3, n) into SL2(F).

5 / 21

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SLIDE 18

Introduction Geometries and amalgams Sidki’s problem

An embedding

When m = 3, consider the following map: a → α α−1

  • ,

(1, 2) → 1 1 1

  • ,

(2, 3) → 1 1

  • where α is an element of order n in a field F of characteristic 2.

These matrices satisfy the desired relations, so this is a representation which embeds y(3, n) into SL2(F). Sidki goes on to show that Y (3, n) is SL2(I2,n) when n is odd (Notation: SL2(I) := ker(SL2(R) → SL2(R/I))). This is also finite.

5 / 21

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SLIDE 19

Introduction Geometries and amalgams Sidki’s problem

An embedding

When m = 3, consider the following map: a → α α−1

  • ,

(1, 2) → 1 1 1

  • ,

(2, 3) → 1 1

  • where α is an element of order n in a field F of characteristic 2.

These matrices satisfy the desired relations, so this is a representation which embeds y(3, n) into SL2(F). Sidki goes on to show that Y (3, n) is SL2(I2,n) when n is odd (Notation: SL2(I) := ker(SL2(R) → SL2(R/I))). This is also finite. The map above can be extended to give an embedding y(m, n) ֒ → SL2m−2(F).

5 / 21

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SLIDE 20

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

6 / 21

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SLIDE 21

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16)

6 / 21

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SLIDE 22

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16)

◮ Y (4, 5) ∼

= Ω(5, 4)

6 / 21

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SLIDE 23

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16)

◮ Y (4, 5) ∼

= Ω(5, 4)

◮ Y (5, 5) ∼

= Ω−(6, 4)

6 / 21

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SLIDE 24

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16) ∼ = Ω−(4, 4)

◮ Y (4, 5) ∼

= Ω(5, 4)

◮ Y (5, 5) ∼

= Ω−(6, 4)

6 / 21

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SLIDE 25

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16) ∼ = Ω−(4, 4)

◮ Y (4, 5) ∼

= Ω(5, 4)

◮ Y (5, 5) ∼

= Ω−(6, 4)

◮ Y (6, 5) ∼

= 46 : Ω−(6, 4)

6 / 21

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SLIDE 26

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16) ∼ = Ω−(4, 4)

◮ Y (4, 5) ∼

= Ω(5, 4)

◮ Y (5, 5) ∼

= Ω−(6, 4)

◮ Y (6, 5) ∼

= 46 : Ω−(6, 4)

◮ Y (7, 5) ∼

= Ω−(8, 4)

6 / 21

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SLIDE 27

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16) ∼ = Ω−(4, 4)

◮ Y (4, 5) ∼

= Ω(5, 4)

◮ Y (5, 5) ∼

= Ω−(6, 4)

◮ Y (6, 5) ∼

= 46 : Ω−(6, 4)

◮ Y (7, 5) ∼

= Ω−(8, 4)

◮ Y (8, 5) ∼

= Ω(9, 4)

6 / 21

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SLIDE 28

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16) ∼ = Ω−(4, 4)

◮ Y (4, 5) ∼

= Ω(5, 4)

◮ Y (5, 5) ∼

= Ω−(6, 4)

◮ Y (6, 5) ∼

= 46 : Ω−(6, 4)

◮ Y (7, 5) ∼

= Ω−(8, 4)

◮ Y (8, 5) ∼

= Ω(9, 4)

◮ Y (9, 5) ∼

= Ω−(10, 4)

6 / 21

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SLIDE 29

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16) ∼ = Ω−(4, 4)

◮ Y (4, 5) ∼

= Ω(5, 4)

◮ Y (5, 5) ∼

= Ω−(6, 4)

◮ Y (6, 5) ∼

= 46 : Ω−(6, 4)

◮ Y (7, 5) ∼

= Ω−(8, 4)

◮ Y (8, 5) ∼

= Ω(9, 4)

◮ Y (9, 5) ∼

= Ω−(10, 4)

◮ Y (10, 5) ∼

= 410 : Ω−(10, 4)

6 / 21

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SLIDE 30

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16) ∼ = Ω−(4, 4)

◮ Y (4, 5) ∼

= Ω(5, 4)

◮ Y (5, 5) ∼

= Ω−(6, 4)

◮ Y (6, 5) ∼

= 46 : Ω−(6, 4)

◮ Y (7, 5) ∼

= Ω−(8, 4)

◮ Y (8, 5) ∼

= Ω(9, 4)

◮ Y (9, 5) ∼

= Ω−(10, 4)

◮ Y (10, 5) ∼

= 410 : Ω−(10, 4)

◮ Y (3, 7) ∼

= Ω+(4, 8)

6 / 21

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SLIDE 31

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16) ∼ = Ω−(4, 4)

◮ Y (4, 5) ∼

= Ω(5, 4)

◮ Y (5, 5) ∼

= Ω−(6, 4)

◮ Y (6, 5) ∼

= 46 : Ω−(6, 4)

◮ Y (7, 5) ∼

= Ω−(8, 4)

◮ Y (8, 5) ∼

= Ω(9, 4)

◮ Y (9, 5) ∼

= Ω−(10, 4)

◮ Y (10, 5) ∼

= 410 : Ω−(10, 4)

◮ Y (3, 7) ∼

= Ω+(4, 8)

◮ Y (4, 7) ∼

= Ω(5, 8)

6 / 21

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SLIDE 32

Introduction Geometries and amalgams Sidki’s problem

Some computational results

For small values of m and n we can use a computer to construct and identify the group. These calculations are due to J. Neubuser and W. Felsch and the larger ones to O’Brien.

◮ Y (3, 5) ∼

= SL2(16) ∼ = Ω−(4, 4)

◮ Y (4, 5) ∼

= Ω(5, 4)

◮ Y (5, 5) ∼

= Ω−(6, 4)

◮ Y (6, 5) ∼

= 46 : Ω−(6, 4)

◮ Y (7, 5) ∼

= Ω−(8, 4)

◮ Y (8, 5) ∼

= Ω(9, 4)

◮ Y (9, 5) ∼

= Ω−(10, 4)

◮ Y (10, 5) ∼

= 410 : Ω−(10, 4)

◮ Y (3, 7) ∼

= Ω+(4, 8)

◮ Y (4, 7) ∼

= Ω(5, 8)

◮ Y (5, 7) ∼

= Ω+(6, 8)

6 / 21

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SLIDE 33

Introduction Geometries and amalgams Sidki’s problem

Yet another presentation

7 / 21

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SLIDE 34

Introduction Geometries and amalgams Sidki’s problem

Yet another presentation

Define: y(m) := a, Sm : [(1, 2)as, (1, 2)] = 1 ∀s a(i,i+1) = a−1 for 2 ≤ i ≤ m − 1

7 / 21

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SLIDE 35

Introduction Geometries and amalgams Sidki’s problem

Yet another presentation

Define: y(m) := a, Sm : [(1, 2)as, (1, 2)] = 1 ∀s a(i,i+1) = a−1 for 2 ≤ i ≤ m − 1 We will try to identify y(m, n) by seeing it as a quotient of y(m).

7 / 21

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SLIDE 36

Introduction Geometries and amalgams Sidki’s problem

Yet another presentation

Define: y(m) := a, Sm : [(1, 2)as, (1, 2)] = 1 ∀s a(i,i+1) = a−1 for 2 ≤ i ≤ m − 1 We will try to identify y(m, n) by seeing it as a quotient of y(m). This is what Sidki managed for m = 3; he showed that y(3) ∼ = SL2(F2[t, t−1]) and y(3, n) ∼ = SL2(I2,n) can be obtained as a quotient of this.

7 / 21

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SLIDE 37

Introduction Geometries and amalgams Sidki’s problem

Yet another presentation

Define: y(m) := a, Sm : [(1, 2)as, (1, 2)] = 1 ∀s a(i,i+1) = a−1 for 2 ≤ i ≤ m − 1 We will try to identify y(m, n) by seeing it as a quotient of y(m). This is what Sidki managed for m = 3; he showed that y(3) ∼ = SL2(F2[t, t−1]) and y(3, n) ∼ = SL2(I2,n) can be obtained as a quotient of this. The problem: Identify the group y(m)

7 / 21

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Introduction Geometries and amalgams Sidki’s problem

Geometries

A quick crash course in geometries:

8 / 21

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SLIDE 39

Introduction Geometries and amalgams Sidki’s problem

Geometries

A quick crash course in geometries:

Definition

A geometry Γ = (Γ, ∼, τ) of rank n is a non-empty set of objects Γ with a type function τ : Γ → {1, . . . , n} and an incidence relation ∼ which is reflexive and symmetric.

8 / 21

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SLIDE 40

Introduction Geometries and amalgams Sidki’s problem

Geometries

A quick crash course in geometries:

Definition

A geometry Γ = (Γ, ∼, τ) of rank n is a non-empty set of objects Γ with a type function τ : Γ → {1, . . . , n} and an incidence relation ∼ which is reflexive and symmetric. Also require that every maximal flag has maximal rank.

8 / 21

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SLIDE 41

Introduction Geometries and amalgams Sidki’s problem

Geometries

A quick crash course in geometries:

Definition

A geometry Γ = (Γ, ∼, τ) of rank n is a non-empty set of objects Γ with a type function τ : Γ → {1, . . . , n} and an incidence relation ∼ which is reflexive and symmetric. Also require that every maximal flag has maximal rank. For example: projective spaces, or subsets of a set.

8 / 21

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SLIDE 42

Introduction Geometries and amalgams Sidki’s problem

Geometries

A quick crash course in geometries:

Definition

A geometry Γ = (Γ, ∼, τ) of rank n is a non-empty set of objects Γ with a type function τ : Γ → {1, . . . , n} and an incidence relation ∼ which is reflexive and symmetric. Also require that every maximal flag has maximal rank. For example: projective spaces, or subsets of a set. Suppose Ω = {1, . . . , m + 1}.

8 / 21

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SLIDE 43

Introduction Geometries and amalgams Sidki’s problem

Geometries

A quick crash course in geometries:

Definition

A geometry Γ = (Γ, ∼, τ) of rank n is a non-empty set of objects Γ with a type function τ : Γ → {1, . . . , n} and an incidence relation ∼ which is reflexive and symmetric. Also require that every maximal flag has maximal rank. For example: projective spaces, or subsets of a set. Suppose Ω = {1, . . . , m + 1}. Let Γ be the set of all non-empty proper subsets of Ω. The type of an element is its size. Two elements are incident if one is contained in the other.

8 / 21

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SLIDE 44

Introduction Geometries and amalgams Sidki’s problem

Geometries

A quick crash course in geometries:

Definition

A geometry Γ = (Γ, ∼, τ) of rank n is a non-empty set of objects Γ with a type function τ : Γ → {1, . . . , n} and an incidence relation ∼ which is reflexive and symmetric. Also require that every maximal flag has maximal rank. For example: projective spaces, or subsets of a set. Suppose Ω = {1, . . . , m + 1}. Let Γ be the set of all non-empty proper subsets of Ω. The type of an element is its size. Two elements are incident if one is contained in the other. Then a maximal flag contains elements of every type, so we have a geometry.

8 / 21

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Introduction Geometries and amalgams Sidki’s problem

Amalgams

Definition

An amalgam A = (A, {Gi}i∈I) is a non-empty set A endowed with partial multiplication, together with a collection of subsets Gi such that

9 / 21

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Introduction Geometries and amalgams Sidki’s problem

Amalgams

Definition

An amalgam A = (A, {Gi}i∈I) is a non-empty set A endowed with partial multiplication, together with a collection of subsets Gi such that

  • 1. A =

i∈I Gi

  • 2. the partial multiplication restricted to Gi, for all i ∈ I, makes

Gi into a group

  • 3. for any a, b ∈ A, the product ab is only defined when

a, b ∈ Gi, for some i ∈ I

  • 4. for all i, j ∈ I, Gi ∩ Gj is a subgroup of both Gi and Gj

9 / 21

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SLIDE 47

Introduction Geometries and amalgams Sidki’s problem

Amalgams

Definition

An amalgam A = (A, {Gi}i∈I) is a non-empty set A endowed with partial multiplication, together with a collection of subsets Gi such that

  • 1. A =

i∈I Gi

  • 2. the partial multiplication restricted to Gi, for all i ∈ I, makes

Gi into a group

  • 3. for any a, b ∈ A, the product ab is only defined when

a, b ∈ Gi, for some i ∈ I

  • 4. for all i, j ∈ I, Gi ∩ Gj is a subgroup of both Gi and Gj

The Gi are called the members of the amalgam.

9 / 21

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Introduction Geometries and amalgams Sidki’s problem

Definition

A completion of an amalgam A is a pair (G, φ), where G is a group and φ : A → G is a map such that the restriction φ|Gi : Gi → G of φ to some group Gi, for i ∈ I, is a group homomorphism.

10 / 21

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Introduction Geometries and amalgams Sidki’s problem

Definition

A completion of an amalgam A is a pair (G, φ), where G is a group and φ : A → G is a map such that the restriction φ|Gi : Gi → G of φ to some group Gi, for i ∈ I, is a group homomorphism. A completion ( G, φ) is the universal completion if given any other completion (G, φ), there exists a unique group homomorphism θ : G → G such that A

  • G

G

  • φ

φ θ

10 / 21

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Introduction Geometries and amalgams Sidki’s problem

Back to our example

In our example, we have a natural group action of Sm+1 on our set Ω = {1, . . . , m + 1}.

11 / 21

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SLIDE 51

Introduction Geometries and amalgams Sidki’s problem

Back to our example

In our example, we have a natural group action of Sm+1 on our set Ω = {1, . . . , m + 1}. We want to show we have an amalgam.

11 / 21

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SLIDE 52

Introduction Geometries and amalgams Sidki’s problem

Back to our example

In our example, we have a natural group action of Sm+1 on our set Ω = {1, . . . , m + 1}. We want to show we have an amalgam. Let F be a maximal flag {x1} ⊂ · · · ⊂ {x1, . . . , xn}. Define Gi to be the stabiliser of the i th element in the flag. So, Gi ∼ = Si × Sn+1−i. Then, Gi is an amalgam.

11 / 21

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Introduction Geometries and amalgams Sidki’s problem

Tits’ Lemma

How do we link the geometry and the amalgam?

12 / 21

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Introduction Geometries and amalgams Sidki’s problem

Tits’ Lemma

How do we link the geometry and the amalgam?

Theorem (Tits’ Lemma)

Let Γ be a connected, residually connected geometry and let G ≤ Aut(Γ) be a group which acts transitively on the maximal flags of Γ. Then, Γ is simply connected ⇔ G is the universal completion of the amalgam of flag-stabilisers.

12 / 21

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Introduction Geometries and amalgams Sidki’s problem

Our example continued...

It is easy to see that Sm+1 acts transitively on the maximal flags in

  • ur geometry.

13 / 21

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Introduction Geometries and amalgams Sidki’s problem

Our example continued...

It is easy to see that Sm+1 acts transitively on the maximal flags in

  • ur geometry.

We also know that our geometry is a simplex. So topologically it is contractible and hence simply connected.

13 / 21

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Introduction Geometries and amalgams Sidki’s problem

Our example continued...

It is easy to see that Sm+1 acts transitively on the maximal flags in

  • ur geometry.

We also know that our geometry is a simplex. So topologically it is contractible and hence simply connected. So, by Tits’ Lemma, Sm+1 is the universal completion of our amalgam Gi.

13 / 21

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Introduction Geometries and amalgams Sidki’s problem

Our example continued...

It is easy to see that Sm+1 acts transitively on the maximal flags in

  • ur geometry.

We also know that our geometry is a simplex. So topologically it is contractible and hence simply connected. So, by Tits’ Lemma, Sm+1 is the universal completion of our amalgam Gi. We also obtain the following as a direct consequence:

13 / 21

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Introduction Geometries and amalgams Sidki’s problem

Our example continued...

It is easy to see that Sm+1 acts transitively on the maximal flags in

  • ur geometry.

We also know that our geometry is a simplex. So topologically it is contractible and hence simply connected. So, by Tits’ Lemma, Sm+1 is the universal completion of our amalgam Gi. We also obtain the following as a direct consequence: The Coxeter presentation. Sm+1 = a1, . . . , am|a2

i = 1, (aiai+1)3 = 1 ∀i, (aiaj)2 = 1, ∀i = j

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SLIDE 60

Introduction Geometries and amalgams Sidki’s problem

Back to Sidki’s problem

We want to have an amalgam for the group y(m) := a, Sm : [(1, 2)as, (1, 2)] = 1 ∀s a(i,i+1) = a−1 for 2 ≤ i ≤ m − 1

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SLIDE 61

Introduction Geometries and amalgams Sidki’s problem

Back to Sidki’s problem

We want to have an amalgam for the group y(m) := a, Sm : [(1, 2)as, (1, 2)] = 1 ∀s a(i,i+1) = a−1 for 2 ≤ i ≤ m − 1 Let s1, . . . , sm−1 be the standard generators for Sm.

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SLIDE 62

Introduction Geometries and amalgams Sidki’s problem

Back to Sidki’s problem

We want to have an amalgam for the group y(m) := a, Sm : [(1, 2)as, (1, 2)] = 1 ∀s a(i,i+1) = a−1 for 2 ≤ i ≤ m − 1 Let s1, . . . , sm−1 be the standard generators for Sm. Define

◮ G1 = s1, . . . , sm−1 ∼

= Sm

◮ Gi = a, s1, . . . , ˆ

si−1, . . . , sm−1 ∼ = y(i − 1) : Sm−i

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SLIDE 63

Introduction Geometries and amalgams Sidki’s problem

Back to Sidki’s problem

We want to have an amalgam for the group y(m) := a, Sm : [(1, 2)as, (1, 2)] = 1 ∀s a(i,i+1) = a−1 for 2 ≤ i ≤ m − 1 Let s1, . . . , sm−1 be the standard generators for Sm. Define

◮ G1 = s1, . . . , sm−1 ∼

= Sm

◮ Gi = a, s1, . . . , ˆ

si−1, . . . , sm−1 ∼ = y(i − 1) : Sm−i A = m

i=1 Gi

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SLIDE 64

Introduction Geometries and amalgams Sidki’s problem

But before we do, one more thing:

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SLIDE 65

Introduction Geometries and amalgams Sidki’s problem

But before we do, one more thing: There exists an involution τ which acts on y(m) by centralising the si and inverting a.

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SLIDE 66

Introduction Geometries and amalgams Sidki’s problem

But before we do, one more thing: There exists an involution τ which acts on y(m) by centralising the si and inverting a. Let ˜ y(m) = τ, a, τs1, . . . τsm−1 ∼ = τy(m)

◮ G1 = τ, τs1, . . . , τsm−1 ∼

= 2 × Sm

◮ Gi = τ, a, τs1, . . . ,

ˆ τsi−1, . . . , τsm−1 ∼ = ˜ y(i − 1) : Sm−i

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SLIDE 67

Introduction Geometries and amalgams Sidki’s problem

But before we do, one more thing: There exists an involution τ which acts on y(m) by centralising the si and inverting a. Let ˜ y(m) = τ, a, τs1, . . . τsm−1 ∼ = τy(m)

◮ G1 = τ, τs1, . . . , τsm−1 ∼

= 2 × Sm

◮ Gi = τ, a, τs1, . . . ,

ˆ τsi−1, . . . , τsm−1 ∼ = ˜ y(i − 1) : Sm−i A = m

i=1 Gi

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SLIDE 68

Introduction Geometries and amalgams Sidki’s problem

From the computational results, we want to find an embedding of y(m) in some orthogonal group of dimension m + 1.

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SLIDE 69

Introduction Geometries and amalgams Sidki’s problem

From the computational results, we want to find an embedding of y(m) in some orthogonal group of dimension m + 1. Want to find a quadratic form q with associated bilinear form (·, ·)

◮ q(αu) = α2q(u) for all α ∈ F, u ∈ V ◮ q(u + v) = q(u) + q(v) + (u, v) for all u, v ∈ V

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SLIDE 70

Introduction Geometries and amalgams Sidki’s problem

From the computational results, we want to find an embedding of y(m) in some orthogonal group of dimension m + 1. Want to find a quadratic form q with associated bilinear form (·, ·)

◮ q(αu) = α2q(u) for all α ∈ F, u ∈ V ◮ q(u + v) = q(u) + q(v) + (u, v) for all u, v ∈ V

Recall that F is a field of characteristic 2.

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SLIDE 71

Introduction Geometries and amalgams Sidki’s problem

From the computational results, we want to find an embedding of y(m) in some orthogonal group of dimension m + 1. Want to find a quadratic form q with associated bilinear form (·, ·)

◮ q(αu) = α2q(u) for all α ∈ F, u ∈ V ◮ q(u + v) = q(u) + q(v) + (u, v) for all u, v ∈ V

Recall that F is a field of characteristic 2. Hence, (·, ·) is a symplectic form. i.e. (u, u) = 0 for all u ∈ V

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Introduction Geometries and amalgams Sidki’s problem

Choosing forms

Assume that V has a basis u, v1, . . . , vm and Sm < ˜ y(m) acts naturally by permuting the vi.

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SLIDE 73

Introduction Geometries and amalgams Sidki’s problem

Choosing forms

Assume that V has a basis u, v1, . . . , vm and Sm < ˜ y(m) acts naturally by permuting the vi. So, q(v1) = · · · = q(vm)

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SLIDE 74

Introduction Geometries and amalgams Sidki’s problem

Choosing forms

Assume that V has a basis u, v1, . . . , vm and Sm < ˜ y(m) acts naturally by permuting the vi. So, q(v1) = · · · = q(vm) and similarly (vi, vj) is the same for all i = j.

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SLIDE 75

Introduction Geometries and amalgams Sidki’s problem

Choosing forms

Assume that V has a basis u, v1, . . . , vm and Sm < ˜ y(m) acts naturally by permuting the vi. So, q(v1) = · · · = q(vm) and similarly (vi, vj) is the same for all i = j. So we get a Gram matrix for the bilinear form:          α α . . . α α α α . . . α α 1 . . . 1 1 1 . . . 1 1 . . . . . . ... . . . . . . 1 1 . . . 1 1 1 . . . 1         

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SLIDE 76

Introduction Geometries and amalgams Sidki’s problem

Choosing forms

Assume that V has a basis u, v1, . . . , vm and Sm < ˜ y(m) acts naturally by permuting the vi. So, q(v1) = · · · = q(vm) and similarly (vi, vj) is the same for all i = j. So we get a Gram matrix for the bilinear form:          α α . . . α α α α . . . α α 1 . . . 1 1 1 . . . 1 1 . . . . . . ... . . . . . . 1 1 . . . 1 1 1 . . . 1          We may scale u to get α = 1.

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SLIDE 77

Introduction Geometries and amalgams Sidki’s problem

Now q is defined by q(vi) = β and q(u) = γ.

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SLIDE 78

Introduction Geometries and amalgams Sidki’s problem

Now q is defined by q(vi) = β and q(u) = γ. Recall that for m = 2, 6, 10, . . . the group had a radical.

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SLIDE 79

Introduction Geometries and amalgams Sidki’s problem

Now q is defined by q(vi) = β and q(u) = γ. Recall that for m = 2, 6, 10, . . . the group had a radical. This corresponds to a degenerate form.

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SLIDE 80

Introduction Geometries and amalgams Sidki’s problem

Now q is defined by q(vi) = β and q(u) = γ. Recall that for m = 2, 6, 10, . . . the group had a radical. This corresponds to a degenerate form. Note that u + v1 + · · · + vm is perpendicular to all vectors of V precisely when m = 2 + 4k.

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SLIDE 81

Introduction Geometries and amalgams Sidki’s problem

Now q is defined by q(vi) = β and q(u) = γ. Recall that for m = 2, 6, 10, . . . the group had a radical. This corresponds to a degenerate form. Note that u + v1 + · · · + vm is perpendicular to all vectors of V precisely when m = 2 + 4k. 0 = q(u + v1 + v2)

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SLIDE 82

Introduction Geometries and amalgams Sidki’s problem

Now q is defined by q(vi) = β and q(u) = γ. Recall that for m = 2, 6, 10, . . . the group had a radical. This corresponds to a degenerate form. Note that u + v1 + · · · + vm is perpendicular to all vectors of V precisely when m = 2 + 4k. 0 = q(u + v1 + v2) = q(u) + 1 + 1 + q(v1) + q(v2) + 1

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SLIDE 83

Introduction Geometries and amalgams Sidki’s problem

Now q is defined by q(vi) = β and q(u) = γ. Recall that for m = 2, 6, 10, . . . the group had a radical. This corresponds to a degenerate form. Note that u + v1 + · · · + vm is perpendicular to all vectors of V precisely when m = 2 + 4k. 0 = q(u + v1 + v2) = q(u) + 1 + 1 + q(v1) + q(v2) + 1 = q(u) + 1

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SLIDE 84

Introduction Geometries and amalgams Sidki’s problem

Now q is defined by q(vi) = β and q(u) = γ. Recall that for m = 2, 6, 10, . . . the group had a radical. This corresponds to a degenerate form. Note that u + v1 + · · · + vm is perpendicular to all vectors of V precisely when m = 2 + 4k. 0 = q(u + v1 + v2) = q(u) + 1 + 1 + q(v1) + q(v2) + 1 = q(u) + 1 So, q(u) = 1.

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SLIDE 85

Introduction Geometries and amalgams Sidki’s problem

Now q is defined by q(vi) = β and q(u) = γ. Recall that for m = 2, 6, 10, . . . the group had a radical. This corresponds to a degenerate form. Note that u + v1 + · · · + vm is perpendicular to all vectors of V precisely when m = 2 + 4k. 0 = q(u + v1 + v2) = q(u) + 1 + 1 + q(v1) + q(v2) + 1 = q(u) + 1 So, q(u) = 1. The relations imply that q(vi) = β must be transcendental.

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SLIDE 86

Introduction Geometries and amalgams Sidki’s problem

Now q is defined by q(vi) = β and q(u) = γ. Recall that for m = 2, 6, 10, . . . the group had a radical. This corresponds to a degenerate form. Note that u + v1 + · · · + vm is perpendicular to all vectors of V precisely when m = 2 + 4k. 0 = q(u + v1 + v2) = q(u) + 1 + 1 + q(v1) + q(v2) + 1 = q(u) + 1 So, q(u) = 1. The relations imply that q(vi) = β must be transcendental. So we choose q(vi) = t−1 and F = F2[t, t−1].

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SLIDE 87

Introduction Geometries and amalgams Sidki’s problem

Clifford algebra

Definition

Let T(V ) be the tensor algebra for V . Then, the Clifford algebra C(V ) is the factor algebra T(V )/w2 − q(w).

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SLIDE 88

Introduction Geometries and amalgams Sidki’s problem

Clifford algebra

Definition

Let T(V ) be the tensor algebra for V . Then, the Clifford algebra C(V ) is the factor algebra T(V )/w2 − q(w). We get map from ˜ y(m) into the Clifford group by

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SLIDE 89

Introduction Geometries and amalgams Sidki’s problem

Clifford algebra

Definition

Let T(V ) be the tensor algebra for V . Then, the Clifford algebra C(V ) is the factor algebra T(V )/w2 − q(w). We get map from ˜ y(m) into the Clifford group by τ → u

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SLIDE 90

Introduction Geometries and amalgams Sidki’s problem

Clifford algebra

Definition

Let T(V ) be the tensor algebra for V . Then, the Clifford algebra C(V ) is the factor algebra T(V )/w2 − q(w). We get map from ˜ y(m) into the Clifford group by τ → u a → t1/2uv1

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SLIDE 91

Introduction Geometries and amalgams Sidki’s problem

Clifford algebra

Definition

Let T(V ) be the tensor algebra for V . Then, the Clifford algebra C(V ) is the factor algebra T(V )/w2 − q(w). We get map from ˜ y(m) into the Clifford group by τ → u a → t1/2uv1 ˜ si = τsi → vi + vi+1

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Introduction Geometries and amalgams Sidki’s problem

Problems:

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Introduction Geometries and amalgams Sidki’s problem

Problems:

◮ Show that this is a homomorphism.

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Introduction Geometries and amalgams Sidki’s problem

Problems:

◮ Show that this is a homomorphism. Done

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Introduction Geometries and amalgams Sidki’s problem

Problems:

◮ Show that this is a homomorphism. Done ◮ Show that the map is injective.

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Introduction Geometries and amalgams Sidki’s problem

Problems:

◮ Show that this is a homomorphism. Done ◮ Show that the map is injective. ◮ Identify the image.

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SLIDE 97

Introduction Geometries and amalgams Sidki’s problem

Problems:

◮ Show that this is a homomorphism. Done ◮ Show that the map is injective. ◮ Identify the image. ◮ Identify the geometry.

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SLIDE 98

Introduction Geometries and amalgams Sidki’s problem

Thank you for listening!

  • S. Sidki, A generalization of the alternating groups—a

question on finiteness and representation, J. Algebra 75 (1982), 324–372.

  • S. Sidki, SL2 over group Rings of Cyclic Groups, J. Algebra

134 (1990), 60–79. S.Sidki, Around some experimentations in combinatorial group theory, GAC2010, Allahabad, Sep 2010.

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