Futurama Theorem and Products of Distinct Transpositions

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Background Main Result Related Results Acknowledgements Futurama Theorem and Products of Distinct Transpositions Lihua Huang Advisor: Professor Ron Evans University of California, San Diego July 28, 2012 Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego Futurama Theorem and Products of Distinct Transpositions 1 / 11

Transcript of Futurama Theorem and Products of Distinct Transpositions

Page 1: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Futurama Theorem and Products of DistinctTranspositions

Lihua Huang

Advisor: Professor Ron EvansUniversity of California, San Diego

July 28, 2012

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 1 / 11

Page 2: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Keeler’s Method

Let P = C1 · · ·Cr , where the Ci are disjoint cycles. LetC1 = (a1 . . . ak), and define

σ1 = (xa1)(xa2) · · · (xak−1) · (yak)(xak)(ya1). (1)

Then σ1C1 = (xy), where x , y are outsiders. For each Ci , we haveanalogous products σi for which σiCi = (xy). Taking

σ =

{(xy)σ1σ2 · · ·σr , if r is odd

σ1σ2 · · ·σr , if r is even,(2)

we find that σ undoes P. Let n be the number of entries in P. By(1) and (2), the number of factors in Keeler’s σ is eithern + 2r + 1 or n + 2r according as r is odd or even.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 2 / 11

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Background Main Result Related Results Acknowledgements

Our Optimal Refinement of Futurama/Keeler’s Theorem

Theorem

Let P = C1 · · ·Cr be a product of r disjoint cycles in Sn, where nis the number of entries in P. Then P can be undone by a productλ of n + r + 2 distinct transpositions in Sn+2 each containing atleast one of the outside entries x = n + 1, y = n + 2. Moreover,this result is best possible in the sense that n + r + 2 cannot bereplaced by a smaller number.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 3 / 11

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Background Main Result Related Results Acknowledgements

Our Best Possible Algorithm

Recall C1 = (a1 . . . ak). Corresponding to the cycle C1,define

G1(x) = (a1x)(a2x) · · · (akx), F1(x) = (a1x).

Corresponding to each cycle Ci , i = 1, . . . , r , define Gi (x) andFi (x) analogously. Set

λ = (xy) · Gr (x) · · ·G2(x) · (akx)G1(y)(a1x) · F2(y) · · ·Fr (y).

It is readily checked that λ undoes P and that λ is a product ofn + r + 2 distinct transpositions in Sn+2 each containing at leastone of the outside entries x , y .

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

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Background Main Result Related Results Acknowledgements

Grime’s Question

Let P = (93)(67)(12)(87)(43)(85)(84) = (12)(3456789).

Keeler’s σ = product of n + 2r = 9 + 4 = 13 transpositions.

Grime’s σ = (71)(42)(81)(52)(91)(62)(31)(72)(41), a product ofonly 9 transpositions.

He called this “Grime’s Corollary” in his video, where he issued thechallenge: Can one do better than 9 switches to undoP?

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 5 / 11

Page 6: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Grime’s Question

Let P = (93)(67)(12)(87)(43)(85)(84) = (12)(3456789).

Keeler’s σ = product of

n + 2r = 9 + 4 = 13 transpositions.

Grime’s σ = (71)(42)(81)(52)(91)(62)(31)(72)(41), a product ofonly 9 transpositions.

He called this “Grime’s Corollary” in his video, where he issued thechallenge: Can one do better than 9 switches to undoP?

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 5 / 11

Page 7: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Grime’s Question

Let P = (93)(67)(12)(87)(43)(85)(84) = (12)(3456789).

Keeler’s σ = product of n + 2r = 9 + 4 = 13 transpositions.

Grime’s σ = (71)(42)(81)(52)(91)(62)(31)(72)(41), a product ofonly 9 transpositions.

He called this “Grime’s Corollary” in his video, where he issued thechallenge: Can one do better than 9 switches to undoP?

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 5 / 11

Page 8: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Grime’s Question

Let P = (93)(67)(12)(87)(43)(85)(84) = (12)(3456789).

Keeler’s σ = product of n + 2r = 9 + 4 = 13 transpositions.

Grime’s σ = (71)(42)(81)(52)(91)(62)(31)(72)(41), a product ofonly 9 transpositions.

He called this “Grime’s Corollary” in his video, where he issued thechallenge: Can one do better than 9 switches to undoP?

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 5 / 11

Page 9: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Grime’s Question

Let P = (93)(67)(12)(87)(43)(85)(84) = (12)(3456789).

Keeler’s σ = product of n + 2r = 9 + 4 = 13 transpositions.

Grime’s σ = (71)(42)(81)(52)(91)(62)(31)(72)(41), a product ofonly 9 transpositions.

He called this “Grime’s Corollary” in his video, where he issued thechallenge:

Can one do better than 9 switches to undoP?

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 5 / 11

Page 10: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Grime’s Question

Let P = (93)(67)(12)(87)(43)(85)(84) = (12)(3456789).

Keeler’s σ = product of n + 2r = 9 + 4 = 13 transpositions.

Grime’s σ = (71)(42)(81)(52)(91)(62)(31)(72)(41), a product ofonly 9 transpositions.

He called this “Grime’s Corollary” in his video, where he issued thechallenge: Can one do better than 9 switches to undoP?

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 5 / 11

Page 11: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Two Lemmas

Lemma (1)

Let 2 ≤ k ≤ n. Then no k-cycle in Sn can be a product of fewerthan k − 1 transpositions.

Lemma (2)

Let 2 ≤ k ≤ n. Suppose that (a1 · · · ak) ∈ Sn equals a product Pof exactly k − 1 transpositions in Sn. Then every entry in theproduct P is one of the ai .

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 6 / 11

Page 12: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13) = (987654321)

2 Lemma 1 implies that σ = abcdefg ; Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 13: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction

that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13) = (987654321)

2 Lemma 1 implies that σ = abcdefg ; Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 14: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13) = (987654321)

2 Lemma 1 implies that σ = abcdefg ; Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 15: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13)

= (987654321)

2 Lemma 1 implies that σ = abcdefg ; Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 16: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13) = (987654321)

2 Lemma 1 implies that σ = abcdefg ; Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 17: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13) = (987654321)

2 Lemma 1 implies that σ = abcdefg ;

Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 18: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13) = (987654321)

2 Lemma 1 implies that σ = abcdefg ; Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 19: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13) = (987654321)

2 Lemma 1 implies that σ = abcdefg ; Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 20: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13) = (987654321)

2 Lemma 1 implies that σ = abcdefg ; Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 21: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13) = (987654321)

2 Lemma 1 implies that σ = abcdefg ; Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 22: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Proof (Grime’s Corollary is Best Possible).

Suppose for the purpose of contradiction that P can be undone bya product σ of at most 7 transpositions.

1 σ(13) = (9876543)(21)(13) = (987654321)

2 Lemma 1 implies that σ = abcdefg ; Lemma 2 implies allentries in σ are in {1, 2, · · · , 9}.

3 Consider the rightmost factor of σ which has one of theentries 1, 2. WLOG, this factor is (13).

4 Move (13) to the far right in σ. New σ = abc d e f (13).

5 abc d e f (13)(13) = (9876543)(21)(13) = (987654321).

6 6 < (9− 1), which contradicts Lemma 1.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 7 / 11

Page 23: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Our Optimal Method to Undo the Stargate Switch (with no outsiders)

Theorem

For n > 1, let P = (12)(34) · · · (2n− 1, 2n), a product of ndisjoint transpositions in S2n. Then P can be undone by a productof 2n + 1 or 2n distinct transpositions according as n is odd oreven. This result is best possible.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 8 / 11

Page 24: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Our Optimal Method to Undo the Stargate Switch (with no outsiders)

Theorem

For n > 1, let P = (12)(34) · · · (2n− 1, 2n), a product of ndisjoint transpositions in S2n. Then P can be undone by a productof 2n + 1 or 2n distinct transpositions according as n is odd oreven. This result is best possible.

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 8 / 11

Page 25: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Example: For P = (12)(34)(56)(78)(9, 10), findσ ∈ S10 s.t. σ undoes P .

Our Solution: σ =(13)(16)(45)(46)(35)(25)(15)(8, 10)(79)(89)(7, 10).

σP = I .

Number of switches: 2n + 1 = 2(5) + 1 = 11

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 9 / 11

Page 26: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Example: For P = (12)(34)(56)(78)(9, 10), findσ ∈ S10 s.t. σ undoes P .

Our Solution: σ =(13)(16)(45)(46)(35)(25)(15)(8, 10)(79)(89)(7, 10).

σP = I .

Number of switches: 2n + 1 = 2(5) + 1 = 11

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 9 / 11

Page 27: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Example: For P = (12)(34)(56)(78)(9, 10), findσ ∈ S10 s.t. σ undoes P .

Our Solution: σ =(13)(16)(45)(46)(35)(25)(15)(8, 10)(79)(89)(7, 10).

σP = I .

Number of switches: 2n + 1 = 2(5) + 1 = 11

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 9 / 11

Page 28: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Example: For P = (12)(34)(56)(78)(9, 10), findσ ∈ S10 s.t. σ undoes P .

Our Solution: σ =(13)(16)(45)(46)(35)(25)(15)(8, 10)(79)(89)(7, 10).

σP = I .

Number of switches:

2n + 1 = 2(5) + 1 = 11

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 9 / 11

Page 29: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Example: For P = (12)(34)(56)(78)(9, 10), findσ ∈ S10 s.t. σ undoes P .

Our Solution: σ =(13)(16)(45)(46)(35)(25)(15)(8, 10)(79)(89)(7, 10).

σP = I .

Number of switches: 2n + 1 = 2(5) + 1 = 11

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 9 / 11

Page 30: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Acknowledgements:

Professor Ron Evans (UCSD)

Ohio State University, NSF, and YMC

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 10 / 11

Page 31: Futurama Theorem and Products of Distinct Transpositions

Background Main Result Related Results Acknowledgements

Thank YOU for listening! :)

Lihua Huang Advisor: Prof. Ron Evans / University of California, San Diego

Futurama Theorem and Products of Distinct Transpositions 11 / 11