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The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3, q ) Peter Sin, University of Florida JGT80 Cambridge, September 11, 2013 .

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Page 1: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

The Smith Normal Form of the IncidenceMatrix of Skew Lines in PG(3, q)

Peter Sin, University of Florida

JGT80 Cambridge, September 11, 2013 .

Page 2: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Outline

Skew lines in PG(3,q)

Eigenvalues and invariants

p-filtrations

Proof of Theorem 1

The missing invariants

Reduction to Point-Line Incidence

SNF of a product

Page 3: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Skew lines graph

I Joint work with Andries Brouwer and Josh Ducey.I We consider skewness of pairs of lines in PG(3,q), q = pt .I Get strongly regular graph with parameters

v = q4+q3+2q2+q+1, k = q4, λ = q4−q3−q2+q, µ = q4−q3.

I Under the Klein Correpondence, two lines are skew iff thecorresponding points of the Klein quadric in PG(5,q) arenot orthogonal, i.e, not joined by a line in the quadric.

I Adjacency matrix A, Laplacian L = D − A, D diagonalmatrix of degrees. In our case D = q4I.

Page 4: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Skew lines graph

I Joint work with Andries Brouwer and Josh Ducey.I We consider skewness of pairs of lines in PG(3,q), q = pt .I Get strongly regular graph with parameters

v = q4+q3+2q2+q+1, k = q4, λ = q4−q3−q2+q, µ = q4−q3.

I Under the Klein Correpondence, two lines are skew iff thecorresponding points of the Klein quadric in PG(5,q) arenot orthogonal, i.e, not joined by a line in the quadric.

I Adjacency matrix A, Laplacian L = D − A, D diagonalmatrix of degrees. In our case D = q4I.

Page 5: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Skew lines graph

I Joint work with Andries Brouwer and Josh Ducey.I We consider skewness of pairs of lines in PG(3,q), q = pt .I Get strongly regular graph with parameters

v = q4+q3+2q2+q+1, k = q4, λ = q4−q3−q2+q, µ = q4−q3.

I Under the Klein Correpondence, two lines are skew iff thecorresponding points of the Klein quadric in PG(5,q) arenot orthogonal, i.e, not joined by a line in the quadric.

I Adjacency matrix A, Laplacian L = D − A, D diagonalmatrix of degrees. In our case D = q4I.

Page 6: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Skew lines graph

I Joint work with Andries Brouwer and Josh Ducey.I We consider skewness of pairs of lines in PG(3,q), q = pt .I Get strongly regular graph with parameters

v = q4+q3+2q2+q+1, k = q4, λ = q4−q3−q2+q, µ = q4−q3.

I Under the Klein Correpondence, two lines are skew iff thecorresponding points of the Klein quadric in PG(5,q) arenot orthogonal, i.e, not joined by a line in the quadric.

I Adjacency matrix A, Laplacian L = D − A, D diagonalmatrix of degrees. In our case D = q4I.

Page 7: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Skew lines graph

I Joint work with Andries Brouwer and Josh Ducey.I We consider skewness of pairs of lines in PG(3,q), q = pt .I Get strongly regular graph with parameters

v = q4+q3+2q2+q+1, k = q4, λ = q4−q3−q2+q, µ = q4−q3.

I Under the Klein Correpondence, two lines are skew iff thecorresponding points of the Klein quadric in PG(5,q) arenot orthogonal, i.e, not joined by a line in the quadric.

I Adjacency matrix A, Laplacian L = D − A, D diagonalmatrix of degrees. In our case D = q4I.

Page 8: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Smith normal forms

A, L define endomorphisms of the free Z-module on lines.Cokernel of A is called the Smith group and the torsionsubgroup of the cokernel of L is known as the critical groupor sandpile group.The order of the critical group is the number of spanningtrees in the graph.In our case A and L are closely related, and it suffices toconsider the Smith group.We compute it by using its structure as a module forGL(4,q).

Page 9: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Smith normal forms

A, L define endomorphisms of the free Z-module on lines.Cokernel of A is called the Smith group and the torsionsubgroup of the cokernel of L is known as the critical groupor sandpile group.The order of the critical group is the number of spanningtrees in the graph.In our case A and L are closely related, and it suffices toconsider the Smith group.We compute it by using its structure as a module forGL(4,q).

Page 10: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Smith normal forms

A, L define endomorphisms of the free Z-module on lines.Cokernel of A is called the Smith group and the torsionsubgroup of the cokernel of L is known as the critical groupor sandpile group.The order of the critical group is the number of spanningtrees in the graph.In our case A and L are closely related, and it suffices toconsider the Smith group.We compute it by using its structure as a module forGL(4,q).

Page 11: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Smith normal forms

A, L define endomorphisms of the free Z-module on lines.Cokernel of A is called the Smith group and the torsionsubgroup of the cokernel of L is known as the critical groupor sandpile group.The order of the critical group is the number of spanningtrees in the graph.In our case A and L are closely related, and it suffices toconsider the Smith group.We compute it by using its structure as a module forGL(4,q).

Page 12: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Smith normal forms

A, L define endomorphisms of the free Z-module on lines.Cokernel of A is called the Smith group and the torsionsubgroup of the cokernel of L is known as the critical groupor sandpile group.The order of the critical group is the number of spanningtrees in the graph.In our case A and L are closely related, and it suffices toconsider the Smith group.We compute it by using its structure as a module forGL(4,q).

Page 13: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Outline

Skew lines in PG(3,q)

Eigenvalues and invariants

p-filtrations

Proof of Theorem 1

The missing invariants

Reduction to Point-Line Incidence

SNF of a product

Page 14: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

All invariants are powers of p

The adjacency matrix of any SRG(v , k , λ, µ) satisfies

A2 + (µ− λ)A + (µ− k)I = µJ

(J is the all-one matrix)A2 = q4I + (q4 − q3 − q2 + q)A + (q4 − q3)(J − A− I)Eigenvalues of A are q, −q2, and q4 with respectivemultiplicities q4 + q2, q3 + q2 + q, and 1.Replace Z by a suitable p-adic ring R = Zp[ξ], with ξ aprimitive (q4 − 1)-th root of unity.

Page 15: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

All invariants are powers of p

The adjacency matrix of any SRG(v , k , λ, µ) satisfies

A2 + (µ− λ)A + (µ− k)I = µJ

(J is the all-one matrix)A2 = q4I + (q4 − q3 − q2 + q)A + (q4 − q3)(J − A− I)Eigenvalues of A are q, −q2, and q4 with respectivemultiplicities q4 + q2, q3 + q2 + q, and 1.Replace Z by a suitable p-adic ring R = Zp[ξ], with ξ aprimitive (q4 − 1)-th root of unity.

Page 16: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

All invariants are powers of p

The adjacency matrix of any SRG(v , k , λ, µ) satisfies

A2 + (µ− λ)A + (µ− k)I = µJ

(J is the all-one matrix)A2 = q4I + (q4 − q3 − q2 + q)A + (q4 − q3)(J − A− I)Eigenvalues of A are q, −q2, and q4 with respectivemultiplicities q4 + q2, q3 + q2 + q, and 1.Replace Z by a suitable p-adic ring R = Zp[ξ], with ξ aprimitive (q4 − 1)-th root of unity.

Page 17: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

All invariants are powers of p

The adjacency matrix of any SRG(v , k , λ, µ) satisfies

A2 + (µ− λ)A + (µ− k)I = µJ

(J is the all-one matrix)A2 = q4I + (q4 − q3 − q2 + q)A + (q4 − q3)(J − A− I)Eigenvalues of A are q, −q2, and q4 with respectivemultiplicities q4 + q2, q3 + q2 + q, and 1.Replace Z by a suitable p-adic ring R = Zp[ξ], with ξ aprimitive (q4 − 1)-th root of unity.

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Theorem 1Let ei = ei(A) = number of invariant factors in the SmithNormal Form of A which are exactly divisible by pi .

1. e4t = 1.2. ei = 0 for i > 4t and for t < i < 2t , 3t < i < 4t .3. ei = e3t−i for 0 ≤ i < t .4.∑t

i=0 ei = q4 + q2.5.∑3t

i=2t ei = q3 + q2 + q.

Thus we are reduced to finding t of the numbers e0, . . . ,et(or the numbers e2t , . . . ,e3t ).

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Theorem 1Let ei = ei(A) = number of invariant factors in the SmithNormal Form of A which are exactly divisible by pi .

1. e4t = 1.2. ei = 0 for i > 4t and for t < i < 2t , 3t < i < 4t .3. ei = e3t−i for 0 ≤ i < t .4.∑t

i=0 ei = q4 + q2.5.∑3t

i=2t ei = q3 + q2 + q.

Thus we are reduced to finding t of the numbers e0, . . . ,et(or the numbers e2t , . . . ,e3t ).

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Theorem 1Let ei = ei(A) = number of invariant factors in the SmithNormal Form of A which are exactly divisible by pi .

1. e4t = 1.2. ei = 0 for i > 4t and for t < i < 2t , 3t < i < 4t .3. ei = e3t−i for 0 ≤ i < t .4.∑t

i=0 ei = q4 + q2.5.∑3t

i=2t ei = q3 + q2 + q.

Thus we are reduced to finding t of the numbers e0, . . . ,et(or the numbers e2t , . . . ,e3t ).

Page 21: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Theorem 1Let ei = ei(A) = number of invariant factors in the SmithNormal Form of A which are exactly divisible by pi .

1. e4t = 1.2. ei = 0 for i > 4t and for t < i < 2t , 3t < i < 4t .3. ei = e3t−i for 0 ≤ i < t .4.∑t

i=0 ei = q4 + q2.5.∑3t

i=2t ei = q3 + q2 + q.

Thus we are reduced to finding t of the numbers e0, . . . ,et(or the numbers e2t , . . . ,e3t ).

Page 22: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Theorem 1Let ei = ei(A) = number of invariant factors in the SmithNormal Form of A which are exactly divisible by pi .

1. e4t = 1.2. ei = 0 for i > 4t and for t < i < 2t , 3t < i < 4t .3. ei = e3t−i for 0 ≤ i < t .4.∑t

i=0 ei = q4 + q2.5.∑3t

i=2t ei = q3 + q2 + q.

Thus we are reduced to finding t of the numbers e0, . . . ,et(or the numbers e2t , . . . ,e3t ).

Page 23: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Theorem 1Let ei = ei(A) = number of invariant factors in the SmithNormal Form of A which are exactly divisible by pi .

1. e4t = 1.2. ei = 0 for i > 4t and for t < i < 2t , 3t < i < 4t .3. ei = e3t−i for 0 ≤ i < t .4.∑t

i=0 ei = q4 + q2.5.∑3t

i=2t ei = q3 + q2 + q.

Thus we are reduced to finding t of the numbers e0, . . . ,et(or the numbers e2t , . . . ,e3t ).

Page 24: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Theorem 1Let ei = ei(A) = number of invariant factors in the SmithNormal Form of A which are exactly divisible by pi .

1. e4t = 1.2. ei = 0 for i > 4t and for t < i < 2t , 3t < i < 4t .3. ei = e3t−i for 0 ≤ i < t .4.∑t

i=0 ei = q4 + q2.5.∑3t

i=2t ei = q3 + q2 + q.

Thus we are reduced to finding t of the numbers e0, . . . ,et(or the numbers e2t , . . . ,e3t ).

Page 25: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Theorem 1Let ei = ei(A) = number of invariant factors in the SmithNormal Form of A which are exactly divisible by pi .

1. e4t = 1.2. ei = 0 for i > 4t and for t < i < 2t , 3t < i < 4t .3. ei = e3t−i for 0 ≤ i < t .4.∑t

i=0 ei = q4 + q2.5.∑3t

i=2t ei = q3 + q2 + q.

Thus we are reduced to finding t of the numbers e0, . . . ,et(or the numbers e2t , . . . ,e3t ).

Page 26: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Outline

Skew lines in PG(3,q)

Eigenvalues and invariants

p-filtrations

Proof of Theorem 1

The missing invariants

Reduction to Point-Line Incidence

SNF of a product

Page 27: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

p-filtrations

Let F = R/(p).For L ≤ R`, set L = (L + pR`)/pR`.η : Rm → Rn, R-module homomorphismMi(η) = {x ∈ Rm | η(x) ∈ piRn}Ni(η) = {p−iη(x) | x ∈ Mi(η)} (and N−1(η) = {0})Rm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · ·Fm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · · .

Page 28: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

p-filtrations

Let F = R/(p).For L ≤ R`, set L = (L + pR`)/pR`.η : Rm → Rn, R-module homomorphismMi(η) = {x ∈ Rm | η(x) ∈ piRn}Ni(η) = {p−iη(x) | x ∈ Mi(η)} (and N−1(η) = {0})Rm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · ·Fm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · · .

Page 29: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

p-filtrations

Let F = R/(p).For L ≤ R`, set L = (L + pR`)/pR`.η : Rm → Rn, R-module homomorphismMi(η) = {x ∈ Rm | η(x) ∈ piRn}Ni(η) = {p−iη(x) | x ∈ Mi(η)} (and N−1(η) = {0})Rm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · ·Fm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · · .

Page 30: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

p-filtrations

Let F = R/(p).For L ≤ R`, set L = (L + pR`)/pR`.η : Rm → Rn, R-module homomorphismMi(η) = {x ∈ Rm | η(x) ∈ piRn}Ni(η) = {p−iη(x) | x ∈ Mi(η)} (and N−1(η) = {0})Rm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · ·Fm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · · .

Page 31: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

p-filtrations

Let F = R/(p).For L ≤ R`, set L = (L + pR`)/pR`.η : Rm → Rn, R-module homomorphismMi(η) = {x ∈ Rm | η(x) ∈ piRn}Ni(η) = {p−iη(x) | x ∈ Mi(η)} (and N−1(η) = {0})Rm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · ·Fm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · · .

Page 32: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

p-filtrations

Let F = R/(p).For L ≤ R`, set L = (L + pR`)/pR`.η : Rm → Rn, R-module homomorphismMi(η) = {x ∈ Rm | η(x) ∈ piRn}Ni(η) = {p−iη(x) | x ∈ Mi(η)} (and N−1(η) = {0})Rm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · ·Fm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · · .

Page 33: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

p-filtrations

Let F = R/(p).For L ≤ R`, set L = (L + pR`)/pR`.η : Rm → Rn, R-module homomorphismMi(η) = {x ∈ Rm | η(x) ∈ piRn}Ni(η) = {p−iη(x) | x ∈ Mi(η)} (and N−1(η) = {0})Rm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · ·Fm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · · .

Page 34: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

p-filtrations

Let F = R/(p).For L ≤ R`, set L = (L + pR`)/pR`.η : Rm → Rn, R-module homomorphismMi(η) = {x ∈ Rm | η(x) ∈ piRn}Ni(η) = {p−iη(x) | x ∈ Mi(η)} (and N−1(η) = {0})Rm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · ·Fm = M0(η) ⊇ M1(η) ⊇ · · ·N0(η) ⊆ N1(η) ⊆ · · · .

Page 35: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

LemmaLet η : Rm → Rn be a homomorphism of free R-modules offinite rank. Then, for i ≥ 0,

ei(η) = dimF

(Mi(η)/Mi+1(η)

)= dimF

(Ni(η)/Ni−1(η)

).

Page 36: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Outline

Skew lines in PG(3,q)

Eigenvalues and invariants

p-filtrations

Proof of Theorem 1

The missing invariants

Reduction to Point-Line Incidence

SNF of a product

Page 37: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

Page 38: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

Page 39: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

Page 40: The Smith Normal Form of the Incidence Matrix of Skew Lines in … · 2013. 9. 28. · The Smith Normal Form of the Incidence Matrix of Skew Lines in PG(3;q) Peter Sin, University

Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

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Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

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Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

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Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

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Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

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Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

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Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

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Split off the all-one vector

V , a 4-dimensional vector space over Fq

Lr = set of subspaces of dimension r in V

View A as an R-module map A : RL2 → RL2 .1 =

∑x∈L2

x

Y2 ={∑

x∈L2axx ∈ RL2

∣∣∣ ∑x∈L2ax = 0

}RL2 = R1⊕ Y2

(1)A = q41Let A′ = A|Y2 (or its matrix in some basis).e4t(A) = e4t(A′) + 1ei(A) = ei(A′) for i 6= 4t .

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SRG equation

A(A + (q2 − q)I) = q3I + (q4 − q3)JOn Y2, A′(A′ + (q2 − q)I) = q3I.Let P and Q be unimodular, with D = PA′Q−1 diagonal.Then

Q(A′ + (q2 − q)I)P−1 = q3D−1,

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SRG equation

A(A + (q2 − q)I) = q3I + (q4 − q3)JOn Y2, A′(A′ + (q2 − q)I) = q3I.Let P and Q be unimodular, with D = PA′Q−1 diagonal.Then

Q(A′ + (q2 − q)I)P−1 = q3D−1,

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SRG equation

A(A + (q2 − q)I) = q3I + (q4 − q3)JOn Y2, A′(A′ + (q2 − q)I) = q3I.Let P and Q be unimodular, with D = PA′Q−1 diagonal.Then

Q(A′ + (q2 − q)I)P−1 = q3D−1,

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Q(A′ + (q2 − q)I)P−1 = q3D−1

ei(A′) = 0 for i > 3t .e4t(A) = 1ei(A′ + (q2 − q)I) = e3t−i(A′)for 0 ≤ i ≤ 3t .

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Q(A′ + (q2 − q)I)P−1 = q3D−1

ei(A′) = 0 for i > 3t .e4t(A) = 1ei(A′ + (q2 − q)I) = e3t−i(A′)for 0 ≤ i ≤ 3t .

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Q(A′ + (q2 − q)I)P−1 = q3D−1

ei(A′) = 0 for i > 3t .e4t(A) = 1ei(A′ + (q2 − q)I) = e3t−i(A′)for 0 ≤ i ≤ 3t .

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Q(A′ + (q2 − q)I)P−1 = q3D−1

ei(A′) = 0 for i > 3t .e4t(A) = 1ei(A′ + (q2 − q)I) = e3t−i(A′)for 0 ≤ i ≤ 3t .

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Proof of Theorem 1

A′ ≡ A′ + (q2 − q)I (mod pt)

ei(A′) = ei(A′ + (q2 − q)I) = e3t−i(A′), for 0 ≤ i < tSet E := Frac(R)⊗R RL2

Eλ := λ-eigenspace for A in E .Eq ∩ RL2 and E−q2 ∩ RL2 are pure R-submodules of Y2.Eq ∩ RL2 ⊆ Nt(A|Y2) and E−q2 ∩ RL2 ⊆ M2t(A|Y2).

q4 + q2 = dimF(Eq ∩ ZL2p ) ≤ dimF Nt(A′) =

t∑i=0

ei(A′)

and

q3+q2+q = dimF(E−q2 ∩ ZL2p ) ≤ dimF M2t(A′) =

3t∑i=2t

ei(A′).

Since (q4 + q2) + (q3 + q2 + q) = dimF Y2, we must haveequalities throughout, so ei(A) = 0 for all other i .

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Proof of Theorem 1

A′ ≡ A′ + (q2 − q)I (mod pt)

ei(A′) = ei(A′ + (q2 − q)I) = e3t−i(A′), for 0 ≤ i < tSet E := Frac(R)⊗R RL2

Eλ := λ-eigenspace for A in E .Eq ∩ RL2 and E−q2 ∩ RL2 are pure R-submodules of Y2.Eq ∩ RL2 ⊆ Nt(A|Y2) and E−q2 ∩ RL2 ⊆ M2t(A|Y2).

q4 + q2 = dimF(Eq ∩ ZL2p ) ≤ dimF Nt(A′) =

t∑i=0

ei(A′)

and

q3+q2+q = dimF(E−q2 ∩ ZL2p ) ≤ dimF M2t(A′) =

3t∑i=2t

ei(A′).

Since (q4 + q2) + (q3 + q2 + q) = dimF Y2, we must haveequalities throughout, so ei(A) = 0 for all other i .

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Proof of Theorem 1

A′ ≡ A′ + (q2 − q)I (mod pt)

ei(A′) = ei(A′ + (q2 − q)I) = e3t−i(A′), for 0 ≤ i < tSet E := Frac(R)⊗R RL2

Eλ := λ-eigenspace for A in E .Eq ∩ RL2 and E−q2 ∩ RL2 are pure R-submodules of Y2.Eq ∩ RL2 ⊆ Nt(A|Y2) and E−q2 ∩ RL2 ⊆ M2t(A|Y2).

q4 + q2 = dimF(Eq ∩ ZL2p ) ≤ dimF Nt(A′) =

t∑i=0

ei(A′)

and

q3+q2+q = dimF(E−q2 ∩ ZL2p ) ≤ dimF M2t(A′) =

3t∑i=2t

ei(A′).

Since (q4 + q2) + (q3 + q2 + q) = dimF Y2, we must haveequalities throughout, so ei(A) = 0 for all other i .

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Proof of Theorem 1

A′ ≡ A′ + (q2 − q)I (mod pt)

ei(A′) = ei(A′ + (q2 − q)I) = e3t−i(A′), for 0 ≤ i < tSet E := Frac(R)⊗R RL2

Eλ := λ-eigenspace for A in E .Eq ∩ RL2 and E−q2 ∩ RL2 are pure R-submodules of Y2.Eq ∩ RL2 ⊆ Nt(A|Y2) and E−q2 ∩ RL2 ⊆ M2t(A|Y2).

q4 + q2 = dimF(Eq ∩ ZL2p ) ≤ dimF Nt(A′) =

t∑i=0

ei(A′)

and

q3+q2+q = dimF(E−q2 ∩ ZL2p ) ≤ dimF M2t(A′) =

3t∑i=2t

ei(A′).

Since (q4 + q2) + (q3 + q2 + q) = dimF Y2, we must haveequalities throughout, so ei(A) = 0 for all other i .

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Proof of Theorem 1

A′ ≡ A′ + (q2 − q)I (mod pt)

ei(A′) = ei(A′ + (q2 − q)I) = e3t−i(A′), for 0 ≤ i < tSet E := Frac(R)⊗R RL2

Eλ := λ-eigenspace for A in E .Eq ∩ RL2 and E−q2 ∩ RL2 are pure R-submodules of Y2.Eq ∩ RL2 ⊆ Nt(A|Y2) and E−q2 ∩ RL2 ⊆ M2t(A|Y2).

q4 + q2 = dimF(Eq ∩ ZL2p ) ≤ dimF Nt(A′) =

t∑i=0

ei(A′)

and

q3+q2+q = dimF(E−q2 ∩ ZL2p ) ≤ dimF M2t(A′) =

3t∑i=2t

ei(A′).

Since (q4 + q2) + (q3 + q2 + q) = dimF Y2, we must haveequalities throughout, so ei(A) = 0 for all other i .

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Proof of Theorem 1

A′ ≡ A′ + (q2 − q)I (mod pt)

ei(A′) = ei(A′ + (q2 − q)I) = e3t−i(A′), for 0 ≤ i < tSet E := Frac(R)⊗R RL2

Eλ := λ-eigenspace for A in E .Eq ∩ RL2 and E−q2 ∩ RL2 are pure R-submodules of Y2.Eq ∩ RL2 ⊆ Nt(A|Y2) and E−q2 ∩ RL2 ⊆ M2t(A|Y2).

q4 + q2 = dimF(Eq ∩ ZL2p ) ≤ dimF Nt(A′) =

t∑i=0

ei(A′)

and

q3+q2+q = dimF(E−q2 ∩ ZL2p ) ≤ dimF M2t(A′) =

3t∑i=2t

ei(A′).

Since (q4 + q2) + (q3 + q2 + q) = dimF Y2, we must haveequalities throughout, so ei(A) = 0 for all other i .

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Proof of Theorem 1

A′ ≡ A′ + (q2 − q)I (mod pt)

ei(A′) = ei(A′ + (q2 − q)I) = e3t−i(A′), for 0 ≤ i < tSet E := Frac(R)⊗R RL2

Eλ := λ-eigenspace for A in E .Eq ∩ RL2 and E−q2 ∩ RL2 are pure R-submodules of Y2.Eq ∩ RL2 ⊆ Nt(A|Y2) and E−q2 ∩ RL2 ⊆ M2t(A|Y2).

q4 + q2 = dimF(Eq ∩ ZL2p ) ≤ dimF Nt(A′) =

t∑i=0

ei(A′)

and

q3+q2+q = dimF(E−q2 ∩ ZL2p ) ≤ dimF M2t(A′) =

3t∑i=2t

ei(A′).

Since (q4 + q2) + (q3 + q2 + q) = dimF Y2, we must haveequalities throughout, so ei(A) = 0 for all other i .

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Proof of Theorem 1

A′ ≡ A′ + (q2 − q)I (mod pt)

ei(A′) = ei(A′ + (q2 − q)I) = e3t−i(A′), for 0 ≤ i < tSet E := Frac(R)⊗R RL2

Eλ := λ-eigenspace for A in E .Eq ∩ RL2 and E−q2 ∩ RL2 are pure R-submodules of Y2.Eq ∩ RL2 ⊆ Nt(A|Y2) and E−q2 ∩ RL2 ⊆ M2t(A|Y2).

q4 + q2 = dimF(Eq ∩ ZL2p ) ≤ dimF Nt(A′) =

t∑i=0

ei(A′)

and

q3+q2+q = dimF(E−q2 ∩ ZL2p ) ≤ dimF M2t(A′) =

3t∑i=2t

ei(A′).

Since (q4 + q2) + (q3 + q2 + q) = dimF Y2, we must haveequalities throughout, so ei(A) = 0 for all other i .

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RemarkI Proof uses only the SRG equation, so Theorem 1 is valid

for all SRGs with the same parameters. For q = 2, thereare 3854 such SRGs (Spence).

I When q = p, the Smith group is determined once we knowe0 = rankp A. When q = 2, our A is the unique one withrank2 A = 6.

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RemarkI Proof uses only the SRG equation, so Theorem 1 is valid

for all SRGs with the same parameters. For q = 2, thereare 3854 such SRGs (Spence).

I When q = p, the Smith group is determined once we knowe0 = rankp A. When q = 2, our A is the unique one withrank2 A = 6.

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Outline

Skew lines in PG(3,q)

Eigenvalues and invariants

p-filtrations

Proof of Theorem 1

The missing invariants

Reduction to Point-Line Incidence

SNF of a product

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Statement of Theorem 2

[3]t = {(s0, . . . , st−1) | si ∈ {1,2,3} for all i}For s = (s0, . . . , st−1) ∈ [3]t

λi = psi+1 − si ,

(subscripts mod t) and

λ = (λ0, . . . , λt−1)

For an integer k , set dk to be the coefficient of xk in theexpansion of (1 + x + · · ·+ xp−1)4. Set d(s) =

∏t−1i=0 dλi .

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Theorem 2Let ei = ei(A) denote the multiplicity of pi as an elementarydivisor of A.Then, for 0 ≤ i ≤ t ,

e2t+i =∑

s∈H(i)

d(s),

where

H(i) ={(s0, . . . , st−1) ∈ [3]t

∣∣d(s) 6= 0 and #{j |sj = 2} = i}.

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Example, q = 9

(1 + x + x2)4 =1 + 4x + 10x2 + 16x3 + 19x4 + 16x5 + 10x6 + 4x7 + x8

H(0) = {(11), (13), (31), (33)},H(1) = {(21), (23), (12), (32)}, H(2) = {(22)}.e4 = d(11) + d(13) + d(31) + d(33) = 202e5 = d(21) + d(23) + d(12) + d(32) = 256e6 = d(22) = 361

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Table: The elementary divisors of the incidence matrix of lines vs.lines in PG(3,9), where two lines are incident when skew.

Elem. Div. 1 3 32 34 35 36 38

Multiplicity 361 256 6025 202 256 361 1

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GL(4, q)-modules

Theorem (Bardoe-S, 2000)

(a) The F GL(4,q)-permutation module FL1 = F1⊕ Y 1 ismultiplicity-free and the composition factors of Y 1correspond to

H = {s ∈ [3]t | d(s) 6= 0}.

and d(s) gives the dimension.(b) If we define the partial order s ≤ s′ iff si ≤ s′i for all i , then

the lattice of order ideals is isomorphic to theF GL(4,q)-submodule lattice of Y 1.

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GL(4, q)-modules

RemarkEach subquotient of the F GL(4,q)-module Y 1 determines asubset of H correponding to its composition factors.

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Outline

Skew lines in PG(3,q)

Eigenvalues and invariants

p-filtrations

Proof of Theorem 1

The missing invariants

Reduction to Point-Line Incidence

SNF of a product

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B := the incidence matrix with rows indexed by L1 andcolumns indexed by L2, where incidence again meanszero intersection.

BtB = (q3+q2)I+(q3+q2−q−1)A+(q3+q2−q)(J−A−I).

(1)BtB = q4(q2 + q + 1)(q + 1)1,ei(BtB) = ei(BtB|Y2) for i 6= 4t .BtB = −[A + (q2 − q)I] + q2I + (q3 + q2 − q)JOn Y2, BtB = −[A + (q2 − q)I] + q2I.ei((BtB)|Y2) = ei(A′ + (q2 − q)I) = e3t−i(A), for 0 ≤ i ≤ t .

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B := the incidence matrix with rows indexed by L1 andcolumns indexed by L2, where incidence again meanszero intersection.

BtB = (q3+q2)I+(q3+q2−q−1)A+(q3+q2−q)(J−A−I).

(1)BtB = q4(q2 + q + 1)(q + 1)1,ei(BtB) = ei(BtB|Y2) for i 6= 4t .BtB = −[A + (q2 − q)I] + q2I + (q3 + q2 − q)JOn Y2, BtB = −[A + (q2 − q)I] + q2I.ei((BtB)|Y2) = ei(A′ + (q2 − q)I) = e3t−i(A), for 0 ≤ i ≤ t .

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B := the incidence matrix with rows indexed by L1 andcolumns indexed by L2, where incidence again meanszero intersection.

BtB = (q3+q2)I+(q3+q2−q−1)A+(q3+q2−q)(J−A−I).

(1)BtB = q4(q2 + q + 1)(q + 1)1,ei(BtB) = ei(BtB|Y2) for i 6= 4t .BtB = −[A + (q2 − q)I] + q2I + (q3 + q2 − q)JOn Y2, BtB = −[A + (q2 − q)I] + q2I.ei((BtB)|Y2) = ei(A′ + (q2 − q)I) = e3t−i(A), for 0 ≤ i ≤ t .

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B := the incidence matrix with rows indexed by L1 andcolumns indexed by L2, where incidence again meanszero intersection.

BtB = (q3+q2)I+(q3+q2−q−1)A+(q3+q2−q)(J−A−I).

(1)BtB = q4(q2 + q + 1)(q + 1)1,ei(BtB) = ei(BtB|Y2) for i 6= 4t .BtB = −[A + (q2 − q)I] + q2I + (q3 + q2 − q)JOn Y2, BtB = −[A + (q2 − q)I] + q2I.ei((BtB)|Y2) = ei(A′ + (q2 − q)I) = e3t−i(A), for 0 ≤ i ≤ t .

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B := the incidence matrix with rows indexed by L1 andcolumns indexed by L2, where incidence again meanszero intersection.

BtB = (q3+q2)I+(q3+q2−q−1)A+(q3+q2−q)(J−A−I).

(1)BtB = q4(q2 + q + 1)(q + 1)1,ei(BtB) = ei(BtB|Y2) for i 6= 4t .BtB = −[A + (q2 − q)I] + q2I + (q3 + q2 − q)JOn Y2, BtB = −[A + (q2 − q)I] + q2I.ei((BtB)|Y2) = ei(A′ + (q2 − q)I) = e3t−i(A), for 0 ≤ i ≤ t .

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B := the incidence matrix with rows indexed by L1 andcolumns indexed by L2, where incidence again meanszero intersection.

BtB = (q3+q2)I+(q3+q2−q−1)A+(q3+q2−q)(J−A−I).

(1)BtB = q4(q2 + q + 1)(q + 1)1,ei(BtB) = ei(BtB|Y2) for i 6= 4t .BtB = −[A + (q2 − q)I] + q2I + (q3 + q2 − q)JOn Y2, BtB = −[A + (q2 − q)I] + q2I.ei((BtB)|Y2) = ei(A′ + (q2 − q)I) = e3t−i(A), for 0 ≤ i ≤ t .

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B := the incidence matrix with rows indexed by L1 andcolumns indexed by L2, where incidence again meanszero intersection.

BtB = (q3+q2)I+(q3+q2−q−1)A+(q3+q2−q)(J−A−I).

(1)BtB = q4(q2 + q + 1)(q + 1)1,ei(BtB) = ei(BtB|Y2) for i 6= 4t .BtB = −[A + (q2 − q)I] + q2I + (q3 + q2 − q)JOn Y2, BtB = −[A + (q2 − q)I] + q2I.ei((BtB)|Y2) = ei(A′ + (q2 − q)I) = e3t−i(A), for 0 ≤ i ≤ t .

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Invariants of B

The ei(B) were previously calculated.

Theorem (Chandler-S-Xiang, 2006)Set B′ := B|Y1 : Y1 → Y2.(a) The composition factors of Mk (B′)/Mk+1(B′) correspond

to the set

Hk (2) = {s ∈ H|exactly k of the sj are equal to 1}.

(b) The composition factors of N`(B′t)/N`−1(B′

t) correspondto

`H(2) = {s ∈ H|exactly ` of the sj are equal to 3}.

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Outline

Skew lines in PG(3,q)

Eigenvalues and invariants

p-filtrations

Proof of Theorem 1

The missing invariants

Reduction to Point-Line Incidence

SNF of a product

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Idea of proof for Theorem 2

Problem is to relate invariants of BtB to those of B.Suppose that we can diagonalize Bt and B by:

PBtE−1 = D2,1

andEBQ−1 = D1,2

with the same E in both equations.Then we can diagonalize the product:

PBtBQ−1 = Dr ,1D1,s,

In general is not possible to find such a matrix E .

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Idea of proof for Theorem 2

Problem is to relate invariants of BtB to those of B.Suppose that we can diagonalize Bt and B by:

PBtE−1 = D2,1

andEBQ−1 = D1,2

with the same E in both equations.Then we can diagonalize the product:

PBtBQ−1 = Dr ,1D1,s,

In general is not possible to find such a matrix E .

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Idea of proof for Theorem 2

Problem is to relate invariants of BtB to those of B.Suppose that we can diagonalize Bt and B by:

PBtE−1 = D2,1

andEBQ−1 = D1,2

with the same E in both equations.Then we can diagonalize the product:

PBtBQ−1 = Dr ,1D1,s,

In general is not possible to find such a matrix E .

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Idea of proof for Theorem 2

Problem is to relate invariants of BtB to those of B.Suppose that we can diagonalize Bt and B by:

PBtE−1 = D2,1

andEBQ−1 = D1,2

with the same E in both equations.Then we can diagonalize the product:

PBtBQ−1 = Dr ,1D1,s,

In general is not possible to find such a matrix E .

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Left and right SNF Bases

For a homomorphism η : Rm → Rn, consider basesB ⊆ Rm and C ⊆ Rn for which the matrix of η is in diagonalform.Call B a left SNF basis for η and C a right SNF basis.Lifting bases from the M-filtration

M0(η) ⊇ M1(η) ⊇ · · · ⊇ M`(η) ) ker(η)

gives a left SNF basis. The N-filtration gives right SNFbasis.

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Left and right SNF Bases

For a homomorphism η : Rm → Rn, consider basesB ⊆ Rm and C ⊆ Rn for which the matrix of η is in diagonalform.Call B a left SNF basis for η and C a right SNF basis.Lifting bases from the M-filtration

M0(η) ⊇ M1(η) ⊇ · · · ⊇ M`(η) ) ker(η)

gives a left SNF basis. The N-filtration gives right SNFbasis.

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Left and right SNF Bases

For a homomorphism η : Rm → Rn, consider basesB ⊆ Rm and C ⊆ Rn for which the matrix of η is in diagonalform.Call B a left SNF basis for η and C a right SNF basis.Lifting bases from the M-filtration

M0(η) ⊇ M1(η) ⊇ · · · ⊇ M`(η) ) ker(η)

gives a left SNF basis. The N-filtration gives right SNFbasis.

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LemmaThere exists a basis B of RL1 that is simultaneously a left SNFbasis for B and a right SNF basis for Bt .

GL(4,q) has a cyclic subgroup S acting transitively on L1,hence all S-isotypic components of RL1 have rank 1.Taking a generator of each component, we get a basis I ofRL1 compatible with both the M-filtration for B and theN-filtration for Bt .I is both a left SNF basis for B and a right SNF basis forBt .

Theorem 2Let ei = ei(A) denote the multiplicity of pi as an elementarydivisor of A. Then, for 0 ≤ i ≤ t ,

e2t+i = et−i(BtB) =∑

s∈H(i)

d(s).

Note H(i) =⋃

k+`=t−i Hk (2) ∩ `H(2).

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LemmaThere exists a basis B of RL1 that is simultaneously a left SNFbasis for B and a right SNF basis for Bt .

GL(4,q) has a cyclic subgroup S acting transitively on L1,hence all S-isotypic components of RL1 have rank 1.Taking a generator of each component, we get a basis I ofRL1 compatible with both the M-filtration for B and theN-filtration for Bt .I is both a left SNF basis for B and a right SNF basis forBt .

Theorem 2Let ei = ei(A) denote the multiplicity of pi as an elementarydivisor of A. Then, for 0 ≤ i ≤ t ,

e2t+i = et−i(BtB) =∑

s∈H(i)

d(s).

Note H(i) =⋃

k+`=t−i Hk (2) ∩ `H(2).

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LemmaThere exists a basis B of RL1 that is simultaneously a left SNFbasis for B and a right SNF basis for Bt .

GL(4,q) has a cyclic subgroup S acting transitively on L1,hence all S-isotypic components of RL1 have rank 1.Taking a generator of each component, we get a basis I ofRL1 compatible with both the M-filtration for B and theN-filtration for Bt .I is both a left SNF basis for B and a right SNF basis forBt .

Theorem 2Let ei = ei(A) denote the multiplicity of pi as an elementarydivisor of A. Then, for 0 ≤ i ≤ t ,

e2t+i = et−i(BtB) =∑

s∈H(i)

d(s).

Note H(i) =⋃

k+`=t−i Hk (2) ∩ `H(2).

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LemmaThere exists a basis B of RL1 that is simultaneously a left SNFbasis for B and a right SNF basis for Bt .

GL(4,q) has a cyclic subgroup S acting transitively on L1,hence all S-isotypic components of RL1 have rank 1.Taking a generator of each component, we get a basis I ofRL1 compatible with both the M-filtration for B and theN-filtration for Bt .I is both a left SNF basis for B and a right SNF basis forBt .

Theorem 2Let ei = ei(A) denote the multiplicity of pi as an elementarydivisor of A. Then, for 0 ≤ i ≤ t ,

e2t+i = et−i(BtB) =∑

s∈H(i)

d(s).

Note H(i) =⋃

k+`=t−i Hk (2) ∩ `H(2).

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LemmaThere exists a basis B of RL1 that is simultaneously a left SNFbasis for B and a right SNF basis for Bt .

GL(4,q) has a cyclic subgroup S acting transitively on L1,hence all S-isotypic components of RL1 have rank 1.Taking a generator of each component, we get a basis I ofRL1 compatible with both the M-filtration for B and theN-filtration for Bt .I is both a left SNF basis for B and a right SNF basis forBt .

Theorem 2Let ei = ei(A) denote the multiplicity of pi as an elementarydivisor of A. Then, for 0 ≤ i ≤ t ,

e2t+i = et−i(BtB) =∑

s∈H(i)

d(s).

Note H(i) =⋃

k+`=t−i Hk (2) ∩ `H(2).

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LemmaThere exists a basis B of RL1 that is simultaneously a left SNFbasis for B and a right SNF basis for Bt .

GL(4,q) has a cyclic subgroup S acting transitively on L1,hence all S-isotypic components of RL1 have rank 1.Taking a generator of each component, we get a basis I ofRL1 compatible with both the M-filtration for B and theN-filtration for Bt .I is both a left SNF basis for B and a right SNF basis forBt .

Theorem 2Let ei = ei(A) denote the multiplicity of pi as an elementarydivisor of A. Then, for 0 ≤ i ≤ t ,

e2t+i = et−i(BtB) =∑

s∈H(i)

d(s).

Note H(i) =⋃

k+`=t−i Hk (2) ∩ `H(2).

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LemmaThere exists a basis B of RL1 that is simultaneously a left SNFbasis for B and a right SNF basis for Bt .

GL(4,q) has a cyclic subgroup S acting transitively on L1,hence all S-isotypic components of RL1 have rank 1.Taking a generator of each component, we get a basis I ofRL1 compatible with both the M-filtration for B and theN-filtration for Bt .I is both a left SNF basis for B and a right SNF basis forBt .

Theorem 2Let ei = ei(A) denote the multiplicity of pi as an elementarydivisor of A. Then, for 0 ≤ i ≤ t ,

e2t+i = et−i(BtB) =∑

s∈H(i)

d(s).

Note H(i) =⋃

k+`=t−i Hk (2) ∩ `H(2).

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LemmaThere exists a basis B of RL1 that is simultaneously a left SNFbasis for B and a right SNF basis for Bt .

GL(4,q) has a cyclic subgroup S acting transitively on L1,hence all S-isotypic components of RL1 have rank 1.Taking a generator of each component, we get a basis I ofRL1 compatible with both the M-filtration for B and theN-filtration for Bt .I is both a left SNF basis for B and a right SNF basis forBt .

Theorem 2Let ei = ei(A) denote the multiplicity of pi as an elementarydivisor of A. Then, for 0 ≤ i ≤ t ,

e2t+i = et−i(BtB) =∑

s∈H(i)

d(s).

Note H(i) =⋃

k+`=t−i Hk (2) ∩ `H(2).

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Thank you for your attention!

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References

Matthew Bardoe and Peter Sin, The permutation modules forGL(n + 1,Fq) acting on Pn(Fq) and Fn−1

q , J. London Math. Soc.(2) 61 (2000), no. 1, 58–80.

David B. Chandler, Peter Sin, and Qing Xiang, The invariantfactors of the incidence matrices of points and subspaces inPG(n,q) and AG(n,q), Trans. Amer. Math. Soc. 358 (2006),no. 11, 4935–4957 (electronic).

Noboru Hamada, On the p-rank of the incidence matrix of abalanced or partially balanced incomplete block design and itsapplications to error correcting codes, Hiroshima Math. J. 3(1973), 153–226.

Eric S. Lander, Symmetric designs: An algebraic approach,Cambridge University Press, 1983, London Math. Soc. LectureNotes 74.

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Joseph John Rushanan, TOPICS IN INTEGRAL MATRICESAND ABELIAN GROUP CODES (SMITH NORMAL FORM(SNF), QUADRATIC, DUADIC, Q-CODES), ProQuest LLC, AnnArbor, MI, 1986, Thesis (Ph.D.)–California Institute ofTechnology.

Peter Sin, The elementary divisors of the incidence matrices ofpoints and linear subspaces in Pn(Fp), J. Algebra 232 (2000),no. 1, 76–85.

Peter Sin, The p-rank of the incidence matrix of intersectinglinear subspaces, Des. Codes Cryptogr. 31 (2004), no. 3,213–220.

Qing Xiang, Recent progress in algebraic design theory, FiniteFields Appl. 11 (2005), no. 3, 622–653.

Qing Xiang, Recent results on p-ranks and Smith normal formsof some 2-(v , k , λ) designs, Coding theory and quantumcomputing, Contemp. Math., vol. 381, Amer. Math. Soc.,Providence, RI, 2005, pp. 53–67.