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Properties of maximum and minimum factorization length in numerical - PowerPoint PPT Presentation

Properties of maximum and minimum factorization length in numerical semigroups By Gilad Moskowitz and Chris ONeill Background In Information Let S be a numerical semigroup with finite complement such that we can write S = < 1 ,


  1. Properties of maximum and minimum factorization length in numerical semigroups By Gilad Moskowitz and Chris O’Neill

  2. Background In Information β€’ Let S be a numerical semigroup with finite complement such that we can write S = < π‘œ 1 , π‘œ 2 , …, π‘œ 𝑙 > with π‘œ 𝑗 Ο΅ β„• , π‘œ 𝑗 < π‘œ 𝑗+1 , and gcd( π‘œ 1 , π‘œ 2 , …, π‘œ 𝑙 ) = 1. β€’ We define the ApΓ©ry Set of S with respect to n in S is: Ap( S , n ) = {s ∈ S | s-n βˆ‰ S} β€’ Theorem 1: Let S be a numerical semigroup and let n be a nonzero element of S. Then AP (S, n) = {0 = w( 0 ), w( 1 ), …, w(n – 1 ) }, where w(i) is the least element of S congruent with i modulo n, for all i in {0, …, n – 1}. [1]

  3. Background (cont.) β€’ We also have that for sufficiently large n ( n β‰₯ ( π‘œ 1 - 1) π‘œ 𝑙 ), the maximum factorization length is quasilinear and can be written as 1 M π‘œ = π‘œ 1 π‘œ + 𝑏 π‘œ for some periodic 𝑏 π‘œ . β€’ We also have that for sufficiently large n ( n β‰₯ ( π‘œ 𝑙 - 1) π‘œ 𝑙 ), the minimum factorization length is quasilinear and can be written as 1 m π‘œ = π‘œ 𝑙 π‘œ + 𝑑 π‘œ for some periodic c π‘œ . [2]

  4. Background (cont.) Terminology: β€’ For the purposes of this presentation, a harmonic numerical semigroup is one in which for all π‘œ , M π‘œ + π‘œ 1 = M π‘œ + 1 β€’ Note: We sometimes say harmonic with respect to minimum length to refer to the same property but with regards to the minimum length function. β€’ A shifted numerical semigroup is one of the following form: 𝑁 π‘œ = βŸ¨π‘œ, π‘œ + 𝑠 1 , … , π‘œ + 𝑠 𝑙 ⟩

  5. New equations for max and min fact. length β€’ We can rewrite the equation for maximum factorization length as: π‘œ βˆ’π‘ 𝑗 M π‘œ = π‘œ 1 for some positive integers 𝑐 𝑗 β‰₯ 𝑗 and 𝑗 = π‘œ mod π‘œ 1 β€’ Similarly, we can rewrite the equation for minimum factorization length as: π‘œ+𝑑 π‘˜ m π‘œ = π‘œ 𝑙 for some positive integers 𝑑 π‘˜ and π‘˜ = π‘œ mod π‘œ 𝑙 β€’ In this presentation we will talk about the derivation of a formula for 𝑐 𝑗 and 𝑑 π‘˜

  6. Generalized Definition of the ApΓ©ry Set Suppose that S is a numerical semigroup, not necessarily with finite complement, and π‘œ Ο΅ β„• . We define the set Ap 𝑇, π‘œ = {𝑛 𝑗 ∈ 𝑇 ∣ 𝑔𝑝𝑠 0 ≀ 𝑗 ≀ π‘œ βˆ’ 1} the ApΓ©ry Set of S with respect to n , where 𝑛 𝑗 is defined as 0, if 𝑇 ∩ {𝑗, 𝑗 + π‘œ, 𝑗 + 2π‘œ, … } = βˆ… 𝑛 𝑗 = α‰Š min(𝑇 ∩ {𝑗, 𝑗 + π‘œ, 𝑗 + 2π‘œ, … }, otherwise

  7. Examples β€’ Let S = <6, 9, 20>, take Ap (S, 4) and Ap (S, 6) β€’ Let S = <2>, take Ap (S, 2) and Ap (S, 3)

  8. Examples β€’ Let S = <6, 9, 20>, take Ap (S, 4) and Ap (S, 6) Ap (S, 4) = {0, 9, 6, 15} Ap (S, 6) = {0, 49, 20, 9, 40, 29} β€’ Let S = <2>, take Ap (S, 2) and Ap (S, 3) Ap (S, 2) = {0} Ap (S, 3) = {0, 4, 2}

  9. Using the new definition to solve our problem Theorem: Let S be a numerical semigroup with finite complement, such that S = < π‘œ 1 , π‘œ 2 , …, π‘œ 𝑙 > for π‘œ π‘˜ Ο΅ β„• and π‘œ π‘˜ < π‘œ π‘˜+1 . Take 𝑇 M to be the numerical semigroup (not necessarily with finite complement) such that 𝑇 M = βŸ¨π‘œ 2 βˆ’ π‘œ 1 , π‘œ 3 βˆ’ π‘œ 1 , … , π‘œ 𝑙 βˆ’ π‘œ 1 ⟩ then we have that for n β‰₯ ( π‘œ 1 - 1) π‘œ 𝑙 π‘œ βˆ’π‘ 𝑗 M π‘œ = π‘œ 1 where 𝑐 𝑗 ∈ Ap(𝑇 M , π‘œ 1 ) with 𝑗 = 𝑐 𝑗 mod π‘œ 1 .

  10. Examples β€’ Let S = <6, 9, 20>, find the set of 𝑐 𝑗 of S β€’ Let S = <9, 10, 21>, find the set of 𝑐 𝑗 of S

  11. Examples β€’ Let S = <6, 9, 20>, find the set of 𝑐 𝑗 of S First we see that 𝑇 M = 3, 14 β€’ Let S = <9, 10, 21>, find the set of 𝑐 𝑗 of S First we see that 𝑇 M = ⟨1, 12⟩

  12. Examples β€’ Let S = <6, 9, 20>, find the set of 𝑐 𝑗 of S First we see that 𝑇 M = 3, 14 Now we take Ap(𝑇 M , 6) β€’ Let S = <9, 10, 21>, find the set of 𝑐 𝑗 of S First we see that 𝑇 M = ⟨1, 12⟩ Now we take Ap(𝑇 M , 10)

  13. Examples β€’ Let S = <6, 9, 20>, find the set of 𝑐 𝑗 of S We get that: 𝑐 𝑗 = {0, 31, 14, 3, 28, 17} β€’ Note: As it turns out, this S is harmonic β€’ Let S = <9, 10, 21>, find the set of 𝑐 𝑗 of S We get that: 𝑐 𝑗 = {0, 1, 2, 3, 4, 5, 6, 7, 8} β€’ Note: As it turns out, this S is NOT harmonic

  14. Further Examples β€’ Let S = <5, 7>, find the set of 𝑐 𝑗 of S β€’ Let S = <5, 7, 9>, find the set of 𝑐 𝑗 of S

  15. Further Examples β€’ Let S = <5, 7>, find the set of 𝑐 𝑗 of S First we see that 𝑇 M = 2 β€’ Let S = <5, 7, 9>, find the set of 𝑐 𝑗 of S First we see that 𝑇 M = 2, 4

  16. Further Examples β€’ Let S = <5, 7>, find the set of 𝑐 𝑗 of S First we see that 𝑇 M = 2 Now we take Ap(𝑇 M , 5) β€’ Let S = <5, 7, 9>, find the set of 𝑐 𝑗 of S First we see that 𝑇 M = 2, 4 Now we take Ap(𝑇 M , 5)

  17. Further Examples β€’ Let S = <5, 7>, find the set of 𝑐 𝑗 of S We get that: 𝑐 𝑗 = {0, 6, 2, 8, 4} β€’ Note: As it turns out, this S is harmonic β€’ Let S = <5, 7, 9>, find the set of 𝑐 𝑗 of S We get that: 𝑐 𝑗 = {0, 6, 2, 8, 4} β€’ Note: As it turns out, this S is harmonic

  18. Defining the Maximum length ApΓ©ry Set We define the set MAp 𝑇 = {𝑐 𝑗 + π‘œ 1 βˆ™ m 𝑇 M 𝑐 𝑗 ∣ 0 ≀ 𝑗 ≀ π‘œ 1 βˆ’ 1} The Maximum Length ApΓ©ry Set of S with respect to π‘œ 1 , where m 𝑇 M denotes the minimum factorization length in 𝑇 M . Key property of the MAp set: The elements 𝑏 𝑗 = 𝑐 𝑗 + π‘œ 1 βˆ™ m 𝑇 M 𝑐 𝑗 ∈ MAp(𝑇) are the smallest elements in S in each congruence class 𝑏 𝑗 βˆ’π‘ 𝑗 modulo π‘œ 1 such that M 𝑏 𝑗 = π‘œ 1 , that is, M 𝑏 𝑗 + π‘žπ‘œ 1 = M 𝑏 𝑗 + π‘ž for every π‘ž β‰₯ 0 .

  19. Examples β€’ Let S = <6, 9, 20>, find the MAp 𝑇 β€’ Let S = <9, 10, 21>, find the MAp 𝑇

  20. Examples β€’ Let S = <6, 9, 20>, find the MAp 𝑇 MAp (S) = {0, 49, 20, 9, 40, 29} β€’ Let S = <9, 10, 21>, find the MAp 𝑇 MAp (S) = {0, 10, 20, 30, 40, 50, 60, 70, 90}

  21. Further Examples β€’ Let S = <5, 7>, find the MAp 𝑇 MAp (S) = {0, 21, 7, 28, 14} β€’ Let S = <5, 7, 9>, find the MAp 𝑇 MAp (S) = {0, 16, 7, 23, 9}

  22. Minimum Factorization Length It turns out that the formula for minimum factorization is very reflexive to the formula for maximum length factorization: Let S be a numerical semigroup with finite complement, such that S = < π‘œ 1 , π‘œ 2 , …, π‘œ 𝑙 > for π‘œ π‘˜ Ο΅ β„• and π‘œ π‘˜ < π‘œ π‘˜+1 . Take 𝑇 m to be the numerical semigroup (not necessarily with finite complement) such that 𝑇 m = βŸ¨π‘œ 𝑙 βˆ’ π‘œ 1 , π‘œ 𝑙 βˆ’ π‘œ 2 , … , π‘œ 𝑙 βˆ’ π‘œ 𝑙 βˆ’1 ⟩ then we have that for n β‰₯ ( π‘œ 𝑙 - 1) π‘œ 𝑙 π‘œ+𝑑 𝑗 m π‘œ = π‘œ 1 where 𝑑 𝑗 ∈ Ap(𝑇 m , π‘œ 𝑙 ) with c i + 𝑗 = 0 mod π‘œ 𝑙 .

  23. Defining the Minimum length ApΓ©ry Set We define the set mAp 𝑇 = {π‘œ 𝑙 βˆ™ m 𝑇 m 𝑑 𝑗 βˆ’ 𝑑 𝑗 ∣ 0 ≀ 𝑗 ≀ π‘œ 𝑙 βˆ’ 1} The Minimum Length ApΓ©ry Set of S with respect to π‘œ 𝑙 , where m 𝑇 m denotes the minimum factorization length in 𝑇 m . Key property of the MAp set: The elements π‘₯ 𝑗 = π‘œ 𝑙 βˆ™ m 𝑇 m 𝑑 𝑗 βˆ’ 𝑑 𝑗 ∈ mAp(𝑇) are the smallest elements in S in each congruence class π‘₯ 𝑗 +𝑑 𝑗 modulo π‘œ 𝑙 such that m π‘₯ 𝑗 = π‘œ 𝑙 , that is, m π‘₯ 𝑗 + π‘žπ‘œ 𝑙 = m π‘₯ 𝑗 + π‘ž for every π‘ž β‰₯ 0 .

  24. Bibliography [1] Numerical Semigroups, J.C. Rosales, P.A. GarcΓ­a-SΓ‘nchez [2] On the set of elasticities in numerical monoids, T. Barron, C. O’Neill, and R. Pelayo

  25. Proof: Take n β‰₯ ( π‘œ 1 - 1) π‘œ 𝑙 then we know that we can write π‘œ as π‘œ = π‘žπ‘œ 1 + 𝑗 for some π‘ž and for 𝑗 = π‘œ mod n 1 . For any factorization of π‘œ , 𝐫 meaning that we can write π‘œ = π‘Ÿ 1 π‘œ 1 + π‘Ÿ 2 π‘œ 2 + β‹― + π‘Ÿ 𝑙 π‘œ 𝑙 there is a corresponding factorization π‘œ βˆ’ π‘…π‘œ 1 = π‘Ÿ 2 π‘œ 2 βˆ’ π‘œ 1 + π‘Ÿ 3 π‘œ 3 βˆ’ π‘œ 1 + β‹― + π‘Ÿ 𝑙 (π‘œ 𝑙 βˆ’ π‘œ 1 ) with 𝑅 = π‘Ÿ 1 + π‘Ÿ 2 + … + π‘Ÿ 𝑙 , in 𝑇 M . Now, we see that: max(| 𝐫 |) = max( π‘Ÿ 1 + π‘Ÿ 2 + … + π‘Ÿ 𝑙 ) = max( 𝑅 ) So the maximum factorization length occurs for a maximal value of Q.

  26. Proof, cont. Recall that π‘œ = π‘žπ‘œ 1 + 𝑗 for some π‘ž , so we can rewrite the equation π‘œ βˆ’ π‘…π‘œ 1 = π‘Ÿ 2 π‘œ 2 βˆ’ π‘œ 1 + π‘Ÿ 3 π‘œ 3 βˆ’ π‘œ 1 + β‹― + π‘Ÿ 𝑙 (π‘œ 𝑙 βˆ’ π‘œ 1 ) as π‘žπ‘œ 1 + 𝑗 βˆ’ π‘…π‘œ 1 = π‘Ÿ 2 π‘œ 2 βˆ’ π‘œ 1 + π‘Ÿ 3 π‘œ 3 βˆ’ π‘œ 1 + β‹― + π‘Ÿ 𝑙 π‘œ 𝑙 βˆ’ π‘œ 1 which simplifies to (π‘ž βˆ’ 𝑅)π‘œ 1 + 𝑗 = π‘Ÿ 2 π‘œ 2 βˆ’ π‘œ 1 + π‘Ÿ 3 π‘œ 3 βˆ’ π‘œ 1 + β‹― + π‘Ÿ 𝑙 π‘œ 𝑙 βˆ’ π‘œ 1 We have that π‘Ÿ π‘˜ β‰₯ 0 and π‘œ π‘˜ βˆ’ π‘œ 1 β‰₯ 0 for all π‘˜ so we must have that the right hand side is greater than or equal to 0. Since 𝑗 < π‘œ 1 and the left- hand side is greater than or equal to 0, π‘ž β‰₯ 𝑅 .

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