Almost Beatty Partitions and Optimal Scheduling Problems

Almost Beatty Partitions and Optimal Scheduling Problems

Beatty’s Theorem Almost Beatty Partitions Applications Future Work Almost Beatty Partitions and Optimal Scheduling Problems Xiaomin Li Mentor : A. J. Hildebrand University of Illinois at Urbana-Champaign MAA MathFest Conference August 1, 2019 1/24 Beatty’s Theorem Almost Beatty Partitions Applications Future Work Credits This talk is based on a joint work with: Junxian Li (University of Gottigen)¨ Yun Xie (University of Washington) A. J. Hildebrand (University of Illinois) It originated with a project in Spring 2018 at the Illinois Geometry Lab at the University of Illinois at Urbana-Champaign. Faculty mentors: A. J. Hildebrand and Ken Stolarsky Graduate student: Junxian Li Undergraduate students: Weiru Chen, Matthew Cho, Jared Krandel, Xiaomin Li and Yun Xie 2/24 Beatty’s Theorem Almost Beatty Partitions Applications Future Work Outline 1 Beatty’s Theorem Beatty Sequences 2 Almost Beatty Partitions Uspensky’s Theorem Almost Beatty Sequences Almost Beatty Partitions: Construction 1 Almost Beatty Partitions: Construction 2 3 Applications Scheduling Problems 4 Future Work 3/24 Remarks When α ≤ 1, then the elements of Bα are distinct and have density α in N. When α > 1, Bα has repeated elements. Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Definition Definition: Beatty Sequence Given α > 0, define the Beatty sequence Bα as n n o B := b c; n = 1; 2;::: ; α α where bxc denotes the floor function. 4/24 Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Definition Definition: Beatty Sequence Given α > 0, define the Beatty sequence Bα as n n o B := b c; n = 1; 2;::: ; α α where bxc denotes the floor function. Remarks When α ≤ 1, then the elements of Bα are distinct and have density α in N. When α > 1, Bα has repeated elements. 4/24 p Examples of Beatty Sequences Bα with α = 1=3; 1; 2; π;. α = p1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 α = 2 0 1 2 2 3 4 4 5 6 7 7 8 9 9 10 11 α = π 0 0 0 1 1 1 2 2 2 3 3 3 4 4 4 5 Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Examples n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 α = 1=3 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 5/24 p Examples of Beatty Sequences Bα with α = 1=3; 1; 2; π;. p α = 2 0 1 2 2 3 4 4 5 6 7 7 8 9 9 10 11 α = π 0 0 0 1 1 1 2 2 2 3 3 3 4 4 4 5 Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Examples n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 α = 1=3 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 α = 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 5/24 p Examples of Beatty Sequences Bα with α = 1=3; 1; 2; π;. α = π 0 0 0 1 1 1 2 2 2 3 3 3 4 4 4 5 Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Examples n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 α = 1=3 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 α = p1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 α = 2 0 1 2 2 3 4 4 5 6 7 7 8 9 9 10 11 5/24 p Examples of Beatty Sequences Bα with α = 1=3; 1; 2; π;. Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Examples n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 α = 1=3 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 α = p1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 α = 2 0 1 2 2 3 4 4 5 6 7 7 8 9 9 10 11 α = π 0 0 0 1 1 1 2 2 2 3 3 3 4 4 4 5 5/24 Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Examples n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 α = 1=3 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 α = p1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 α = 2 0 1 2 2 3 4 4 5 6 7 7 8 9 9 10 11 α = π 0 0 0 1 1 1 2 2 2 3 3 3 4 4 4 5 p Examples of Beatty Sequences Bα with α = 1=3; 1; 2; π;. 5/24 Rearranging the last two sequences gives: B1/φ 1 3 4 6 8 9 11 12 14 16 B1/φ2 2 5 7 10 13 15 Observations: The Beatty sequences B1/φ and B1/φ2 partition N. 1/φ + 1/φ2 = 1 (i.e. the densities of the last two sequences sum up to 1). Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Examples II p Let φ be the golden ratio defined by φ = ( 5 + 1)=2. n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 B1/φ 1 3 4 6 8 9 11 12 14 16 17 19 21 22 24 25 B1/φ2 2 5 7 10 13 15 18 20 23 26 28 31 34 36 39 41 6/24 Observations: The Beatty sequences B1/φ and B1/φ2 partition N. 1/φ + 1/φ2 = 1 (i.e. the densities of the last two sequences sum up to 1). Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Examples II p Let φ be the golden ratio defined by φ = ( 5 + 1)=2. n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 B1/φ 1 3 4 6 8 9 11 12 14 16 17 19 21 22 24 25 B1/φ2 2 5 7 10 13 15 18 20 23 26 28 31 34 36 39 41 Rearranging the last two sequences gives: B1/φ 1 3 4 6 8 9 11 12 14 16 B1/φ2 2 5 7 10 13 15 6/24 1/φ + 1/φ2 = 1 (i.e. the densities of the last two sequences sum up to 1). Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Examples II p Let φ be the golden ratio defined by φ = ( 5 + 1)=2. n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 B1/φ 1 3 4 6 8 9 11 12 14 16 17 19 21 22 24 25 B1/φ2 2 5 7 10 13 15 18 20 23 26 28 31 34 36 39 41 Rearranging the last two sequences gives: B1/φ 1 3 4 6 8 9 11 12 14 16 B1/φ2 2 5 7 10 13 15 Observations: The Beatty sequences B1/φ and B1/φ2 partition N. 6/24 Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty Sequences: Examples II p Let φ be the golden ratio defined by φ = ( 5 + 1)=2. n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 B1/φ 1 3 4 6 8 9 11 12 14 16 17 19 21 22 24 25 B1/φ2 2 5 7 10 13 15 18 20 23 26 28 31 34 36 39 41 Rearranging the last two sequences gives: B1/φ 1 3 4 6 8 9 11 12 14 16 B1/φ2 2 5 7 10 13 15 Observations: The Beatty sequences B1/φ and B1/φ2 partition N. 1/φ + 1/φ2 = 1 (i.e. the densities of the last two sequences sum up to 1). 6/24 Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty’s Theorem: Statement The following theorem shows that the previous observation holds whenever the densities α and β are irrational and sum up to 1. Theorem (Beatty’s Theorem) Let α and β be two positive irrational numbers such that α + β = 1. Then Bα and Bβ form a partition of the positive integers. 7/24 n m () j ≤ < j + 1 and j ≤ < j + 1 α β n m () j < < j + 1 and j < < j + 1 (since α; β are irrational) α β () jα < n < (j + 1)α and jβ < m < (j + 1)β () j < n + m < j + 1 (since α + β = 1) This is a contradiction since n; m; j are integers. Beatty’s Theorem Almost Beatty Partitions Applications Future Work Beatty Sequences Beatty’s Theorem: Proof, Part I Let α and β be two positive irrational numbers such that α + β = 1.

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