Extending (part of) the Bruck-Ryser-Chowla Theorem to Coverings - - PowerPoint PPT Presentation

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Extending (part of) the Bruck-Ryser-Chowla Theorem to Coverings - - PowerPoint PPT Presentation

Extending (part of) the Bruck-Ryser-Chowla Theorem to Coverings Daniel Horsley (Monash University, Australia) Joint work with Darryn Bryant, Melinda Buchanan, Barbara Maenhaut, and Victor Scharaschkin (University of Queensland) Extending (part


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Extending (part of) the Bruck-Ryser-Chowla Theorem to Coverings

Daniel Horsley (Monash University, Australia)

Joint work with Darryn Bryant, Melinda Buchanan, Barbara Maenhaut, and Victor Scharaschkin (University of Queensland)

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Extending (part of) the Bruck-Ryser-Chowla Theorem to Coverings

Daniel Horsley (Monash University, Australia)

Joint work with Darryn Bryant, Melinda Buchanan, Barbara Maenhaut, and Victor Scharaschkin (University of Queensland) I acknowledge the four institutions at which I have been employed during the refereeing process.

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Balanced Incomplete Block Designs

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Balanced Incomplete Block Designs

1 2 3 4 5 6 7

1 2 3 5 2 3 4 6 3 4 5 7 4 5 6 1 5 6 7 2 6 7 1 3 7 1 2 4

A (v, k, λ)-BIBD with v = 7, k = 4, λ = 2, having b = 7 blocks.

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When do BIBDs exist?

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When do BIBDs exist?

Obvious Necessary Conditions If there exists an (v, k, λ)-BIBD then (1) λ(v − 1) ≡ 0 (mod k − 1); (2) λv(v − 1) ≡ 0 (mod k(k − 1)).

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When do BIBDs exist?

Obvious Necessary Conditions If there exists an (v, k, λ)-BIBD then (1) λ(v − 1) ≡ 0 (mod k − 1); (2) λv(v − 1) ≡ 0 (mod k(k − 1)). Fischer’s Inequality (1940) Any (v, k, λ)-BIBD has at least v blocks.

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When do BIBDs exist?

Obvious Necessary Conditions If there exists an (v, k, λ)-BIBD then (1) λ(v − 1) ≡ 0 (mod k − 1); (2) λv(v − 1) ≡ 0 (mod k(k − 1)). Fischer’s Inequality (1940) Any (v, k, λ)-BIBD has at least v blocks. Bruck-Ryser-Chowla Theorem (1950) If a (v, k, λ)-BIBD with exactly v blocks exists then

◮ if v is even, then k − λ is a perfect square; and ◮ if v is odd, then z2 = (k − λ)x2 + (−1)(v−1)/2λy 2 = 0 has a solution for

integers x, y, z, not all zero.

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When do BIBDs exist?

Obvious Necessary Conditions If there exists an (v, k, λ)-BIBD then (1) λ(v − 1) ≡ 0 (mod k − 1); (2) λv(v − 1) ≡ 0 (mod k(k − 1)). Fischer’s Inequality (1940) Any (v, k, λ)-BIBD has at least v blocks. Bruck-Ryser-Chowla Theorem (1950) If a (v, k, λ)-BIBD with exactly v blocks exists then

◮ if v is even, then k − λ is a perfect square; and ◮ if v is odd, then z2 = (k − λ)x2 + (−1)(v−1)/2λy 2 = 0 has a solution for

integers x, y, z, not all zero. There are very few examples of (v, k, λ)-BIBDs which are known not to exist, but which are not ruled out by the above results.

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Pair covering designs

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Pair covering designs

1 2 3 4 5 6 7 8 9 10 11 12

v = 12, k = 4, λ = 2.

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Pair covering designs

1 2 3 4 5 6 7 8 9 10 11 12

24×

A (12, 4, 2)-covering.

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Pair covering designs

1 2 3 4 5 6 7 8 9 10 11 12

24×

A (12, 4, 2)-covering with a C12 excess.

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Pair covering designs

1 2 3 4 5 6 7 8 9 10 11 12

24×

Any (12, 4, 2)-covering with 24 blocks will have a 2-regular excess.

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Pair covering designs

1 2 3 4 5 6 7 8 9 10 11 12

A C12 excess.

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Pair covering designs

1 2 3 4 5 6 7 8 9 10 11 12

A C7 ∪ C5 excess.

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Pair covering designs

1 2 3 4 5 6 7 8 9 10 11 12

A C4 ∪ C4 ∪ C2 ∪ C2 excess.

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Bounds on coverings

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Bounds on coverings

Let Cλ(v, k) be the minimum number of blocks required for a (v, k, λ)-covering.

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Bounds on coverings

Let Cλ(v, k) be the minimum number of blocks required for a (v, k, λ)-covering. Sch¨

  • nheim Bound

Cλ(v, k) ≥ Lλ(v, k) where Lλ(v, k) =

  • v

k

  • λ(v−1)

k−1

  • .
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Bounds on coverings

Let Cλ(v, k) be the minimum number of blocks required for a (v, k, λ)-covering. Sch¨

  • nheim Bound

Cλ(v, k) ≥ Lλ(v, k) where Lλ(v, k) =

  • v

k

  • λ(v−1)

k−1

  • .

Hanani Cλ(v, k) ≥ Lλ(v, k) + 1 when λ(v − 1) ≡ 0 (mod k − 1) and λv(v − 1) ≡ 1 (mod k).

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Bounds on coverings

Let Cλ(v, k) be the minimum number of blocks required for a (v, k, λ)-covering. Sch¨

  • nheim Bound

Cλ(v, k) ≥ Lλ(v, k) where Lλ(v, k) =

  • v

k

  • λ(v−1)

k−1

  • .

Hanani Cλ(v, k) ≥ Lλ(v, k) + 1 when λ(v − 1) ≡ 0 (mod k − 1) and λv(v − 1) ≡ 1 (mod k). There are few general results which increase this lower bound (most are for specific (v, k, λ) and involve computer search).

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General improvements to the Sch¨

  • nheim Bound
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General improvements to the Sch¨

  • nheim Bound

◮ Fischer’s Inequality and the Bruck-Ryser-Chowla Theorem establish the

non-existence of certain coverings whose excess would necessarily be empty.

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General improvements to the Sch¨

  • nheim Bound

◮ Fischer’s Inequality and the Bruck-Ryser-Chowla Theorem establish the

non-existence of certain coverings whose excess would necessarily be empty.

◮ Bose and Connor (1952) used similar methods to establish the

non-existence of certain coverings whose excess would necessarily be 1-regular.

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General improvements to the Sch¨

  • nheim Bound

◮ Fischer’s Inequality and the Bruck-Ryser-Chowla Theorem establish the

non-existence of certain coverings whose excess would necessarily be empty.

◮ Bose and Connor (1952) used similar methods to establish the

non-existence of certain coverings whose excess would necessarily be 1-regular.

◮ Our results focus on non-existence of certain coverings whose excess would

necessarily be 2-regular.

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General improvements to the Sch¨

  • nheim Bound

◮ Fischer’s Inequality and the Bruck-Ryser-Chowla Theorem establish the

non-existence of certain coverings whose excess would necessarily be empty.

◮ Bose and Connor (1952) used similar methods to establish the

non-existence of certain coverings whose excess would necessarily be 1-regular.

◮ Our results focus on non-existence of certain coverings whose excess would

necessarily be 2-regular.

◮ Todorov (1989) established the non-existence of certain coverings with

b < v and λ = 1.

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Our results

Fischer-type result Any (v, k, λ)-covering with a 2-regular excess has at least v blocks, unless (v, k, λ) = (3λ + 6, 3λ + 3, λ) for λ ≥ 1 or (v, k, λ) ∈ {(8, 4, 1), (14, 6, 1), (14, 8, 2)}.

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Our results

Fischer-type result Any (v, k, λ)-covering with a 2-regular excess has at least v blocks, unless (v, k, λ) = (3λ + 6, 3λ + 3, λ) for λ ≥ 1 or (v, k, λ) ∈ {(8, 4, 1), (14, 6, 1), (14, 8, 2)}. BRC-type result If a (v, k, λ)-covering with v blocks with a 2-regular excess exists for v even, then one of k − λ − 2 or k − λ + 2 is a perfect square, unless (v, k, λ) = (λ + 4, λ + 2, λ) for even λ ≥ 1.

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Our results

Fischer-type result Any (v, k, λ)-covering with a 2-regular excess has at least v blocks, unless (v, k, λ) = (3λ + 6, 3λ + 3, λ) for λ ≥ 1 or (v, k, λ) ∈ {(8, 4, 1), (14, 6, 1), (14, 8, 2)}. BRC-type result If a (v, k, λ)-covering with v blocks with a 2-regular excess exists for v even, then one of k − λ − 2 or k − λ + 2 is a perfect square, unless (v, k, λ) = (λ + 4, λ + 2, λ) for even λ ≥ 1. Theorem Cλ(v, k) ≥ Lλ(v, k) + 1 when

◮ λ(v − 1) + 2 ≡ 0 (mod k − 1); ◮ λv(v − 1) + 2v ≡ 0 (mod k(k − 1)); ◮ v ≤ k2−k−2

λ

+ 1; and

◮ if v = k2−k−2

λ

+ 1 then v is even and neither k − λ − 2 nor k − λ + 2 is a perfect square; unless (v, k, λ) is in the exceptions listed above.

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Incidence matrices

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Incidence matrices

The incidence matrix M of a (v, k, λ)-covering is a v × b matrix whose (i, j) entry is 1 if point i is in block j and 0 otherwise.

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Incidence matrices

The incidence matrix M of a (v, k, λ)-covering is a v × b matrix whose (i, j) entry is 1 if point i is in block j and 0 otherwise.           point x1 1 1 1 1          

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Incidence matrices

The incidence matrix M of a (v, k, λ)-covering is a v × b matrix whose (i, j) entry is 1 if point i is in block j and 0 otherwise.           b1 point x1 1 1 1 1          

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Incidence matrices

The incidence matrix M of a (v, k, λ)-covering is a v × b matrix whose (i, j) entry is 1 if point i is in block j and 0 otherwise.           b2 point x1 1 1 1 1          

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Incidence matrices

The incidence matrix M of a (v, k, λ)-covering is a v × b matrix whose (i, j) entry is 1 if point i is in block j and 0 otherwise.           point x1 1 1 1 1           We will be interested in the matrix MMT.

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Incidence matrices

The incidence matrix M of a (v, k, λ)-covering is a v × b matrix whose (i, j) entry is 1 if point i is in block j and 0 otherwise.           point x1 1 1 1 1 point x2 1 1 1 1           We will be interested in the matrix MMT.

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Incidence matrices

The incidence matrix M of a (v, k, λ)-covering is a v × b matrix whose (i, j) entry is 1 if point i is in block j and 0 otherwise.           point x1 1 1 1 1 point x2 1 1 1 1           We will be interested in the matrix MMT.

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Incidence matrices

The incidence matrix M of a (v, k, λ)-covering is a v × b matrix whose (i, j) entry is 1 if point i is in block j and 0 otherwise.           point x1 1 1 1 1 point x2 1 1 1 1           We will be interested in the matrix MMT.

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What does MMT look like?

If M is the incidence matrix of a (10, k, λ)-covering with excess C10, then MMT is the 10 × 10 matrix

                r λ + 1 λ λ λ λ λ λ λ λ + 1 λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ + 1 λ λ λ λ λ λ λ λ + 1 r                 .

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What does MMT look like?

If M is the incidence matrix of a (10, k, λ)-covering with excess C6 ∪ C4, MMT is the 10 × 10 matrix

                r λ + 1 λ λ λ λ + 1 λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ + 1 λ λ λ λ + 1 r λ λ λ λ λ λ λ λ λ λ r λ + 1 λ λ + 1 λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ + 1 λ λ + 1 r                 .

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What does MMT look like?

If M is the incidence matrix of a (10, k, λ)-covering with excess C5 ∪ C3 ∪ C2, MMT is the 10 × 10 matrix

                r λ + 1 λ λ λ + 1 λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ + 1 λ λ λ + 1 r λ λ λ λ λ λ λ λ λ λ r λ + 1 λ + 1 λ λ λ λ λ λ λ λ + 1 r λ + 1 λ λ λ λ λ λ λ λ + 1 λ + 1 r λ λ λ λ λ λ λ λ λ λ r λ + 2 λ λ λ λ λ λ λ λ λ + 2 r                 .

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Proof of our results

Lemma If M is the incidence matrix of a (v, k, λ)-covering with a 2-regular excess then det(MMT) = rk(r − λ + 2)t−1(r − λ − 2)ez2 for some non-zero integer z, where r is the number of blocks on each point, t is the number of cycles in the excess, and e is the number of cycles of even length.

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Proof of our results

Lemma If M is the incidence matrix of a (v, k, λ)-covering with a 2-regular excess then det(MMT) = rk(r − λ + 2)t−1(r − λ − 2)ez2 for some non-zero integer z, where r is the number of blocks on each point, t is the number of cycles in the excess, and e is the number of cycles of even length. Fischer-type result Any (v, k, λ)-covering with a 2-regular excess has at least v blocks, unless (v, k, λ) = (3λ + 6, 3λ + 3, λ) for λ ≥ 1 or (v, k, λ) ∈ {(8, 4, 1), (14, 6, 1), (14, 8, 2)}.

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Proof of our results

Lemma If M is the incidence matrix of a (v, k, λ)-covering with a 2-regular excess then det(MMT) = rk(r − λ + 2)t−1(r − λ − 2)ez2 for some non-zero integer z, where r is the number of blocks on each point, t is the number of cycles in the excess, and e is the number of cycles of even length. Fischer-type result Any (v, k, λ)-covering with a 2-regular excess has at least v blocks, unless (v, k, λ) = (3λ + 6, 3λ + 3, λ) for λ ≥ 1 or (v, k, λ) ∈ {(8, 4, 1), (14, 6, 1), (14, 8, 2)}. Proof sketch If r − λ > 2 then det(MMT) = 0 and it follows that rank(M) = v.

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Proof of our results

Lemma If M is the incidence matrix of a (v, k, λ)-covering with a 2-regular excess then det(MMT) = rk(r − λ + 2)t−1(r − λ − 2)ez2 for some non-zero integer z, where r is the number of blocks on each point, t is the number of cycles in the excess, and e is the number of cycles of even length. Fischer-type result Any (v, k, λ)-covering with a 2-regular excess has at least v blocks, unless (v, k, λ) = (3λ + 6, 3λ + 3, λ) for λ ≥ 1 or (v, k, λ) ∈ {(8, 4, 1), (14, 6, 1), (14, 8, 2)}. Proof sketch If r − λ > 2 then det(MMT) = 0 and it follows that rank(M) = v. BRC-type result If a (v, k, λ)-covering with v blocks with a 2-regular excess exists for v even, then one of k − λ − 2 or k − λ + 2 is a perfect square, unless (v, k, λ) = (λ + 4, λ + 2, λ) for even λ ≥ 1.

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Proof of our results

Lemma If M is the incidence matrix of a (v, k, λ)-covering with a 2-regular excess then det(MMT) = rk(r − λ + 2)t−1(r − λ − 2)ez2 for some non-zero integer z, where r is the number of blocks on each point, t is the number of cycles in the excess, and e is the number of cycles of even length. Fischer-type result Any (v, k, λ)-covering with a 2-regular excess has at least v blocks, unless (v, k, λ) = (3λ + 6, 3λ + 3, λ) for λ ≥ 1 or (v, k, λ) ∈ {(8, 4, 1), (14, 6, 1), (14, 8, 2)}. Proof sketch If r − λ > 2 then det(MMT) = 0 and it follows that rank(M) = v. BRC-type result If a (v, k, λ)-covering with v blocks with a 2-regular excess exists for v even, then one of k − λ − 2 or k − λ + 2 is a perfect square, unless (v, k, λ) = (λ + 4, λ + 2, λ) for even λ ≥ 1. Proof sketch Note det(MMT) = (det(M))2 and r = k, so if r − λ > 2 and k − λ − 2 and k − λ + 2 are not perfect squares then t is odd and e is even.

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Notes and future plans

Notes

◮ We also considered the case of K1,k ∪ K2 ∪ · · · ∪ K2 excesses. ◮ Very similar results can be obtained for packings. ◮ Our results establish the non-existence of certain (Kk − e)-decompositions

  • f λKv.

Future plans

◮ Considering other kinds of excesses. ◮ Adapting the “hard” half of the Bruck-Ryser-Chowla Theorem.