Avoidance in (2+2)-Free Posets

Size: px
Start display at page:

Download "Avoidance in (2+2)-Free Posets"

Transcription

1 Avoidance in (2+2)-Free Posets Nihal Gowravaram Acton Boxborough Regional High School Mentor: Wuttisak Trongsiriwat PRIMES Annual Conference Massachusetts Institute of Technology May 18-19, / 13

2 What is a Poset? Poset Hasse Diagrams Avoidance Partially Ordered Set (P, ) 2 / 13

3 What is a Poset? Poset Hasse Diagrams Avoidance Partially Ordered Set (P, ) Reflexivity i i for all i P Antisymmetry If i j and j i, then i = j for i,j P Transitivity If i j and j k, then i k for i,j,k P 2 / 13

4 What is a Poset? Poset Hasse Diagrams Avoidance Partially Ordered Set (P, ) Reflexivity i i for all i P Antisymmetry If i j and j i, then i = j for i,j P Transitivity If i j and j k, then i k for i,j,k P Call i,j P comparable if i j or j i 2 / 13

5 Hasse Diagrams Poset Hasse Diagrams Avoidance (P({x,y,z}), ) {x,y,z} {x,y} {x,z} {y,z} {x} {y} {z} {} 3 / 13

6 Hasse Diagrams Poset Hasse Diagrams Avoidance (P({x,y,z}), ) {x,y,z} {x,y} {x,z} {y,z} {x} {y} {z} {} {} and {x,z} are comparable {y} and {x, z} are incomparable 3 / 13

7 Hasse Diagrams Poset Hasse Diagrams Avoidance (P({x,y,z}), ) {x,y,z} {x,y} {x,z} {y,z} {x} {y} {z} {} {} and {x,z} are comparable {y} and {x, z} are incomparable {}, {x}, {x,z}, and {x,y,z} form a chain of length 4. 3 / 13

8 Avoidance in Posets Poset Hasse Diagrams Avoidance A poset P is said to contain a poset S if there exists some subposet W of P that is isomorphic to S. P is said to avoid S if P does not contain S. 4 / 13

9 Avoidance in Posets Poset Hasse Diagrams Avoidance A poset P is said to contain a poset S if there exists some subposet W of P that is isomorphic to S. P is said to avoid S if P does not contain S. 4 / 13

10 Avoidance in Posets Poset Hasse Diagrams Avoidance A poset P is said to contain a poset S if there exists some subposet W of P that is isomorphic to S. P is said to avoid S if P does not contain S. Contains (3+1) Avoids (2+2) 4 / 13

11 Why (2+2)-Free Posets? (2+2)-Free Posets Previous Interval Orders A poset is an interval order if it is isomorphic to some set of intervals on the real line ordered by left-to-right precedence. Interval orders are important in mathematics, computer science, and engineering (Ex. task distributions in complex manufacturing processes). (Fishburn 1970) (2+2)-Free Posets are precisely interval orders. 5 / 13

12 Why (2+2)-Free Posets? (2+2)-Free Posets Previous Interval Orders A poset is an interval order if it is isomorphic to some set of intervals on the real line ordered by left-to-right precedence. Interval orders are important in mathematics, computer science, and engineering (Ex. task distributions in complex manufacturing processes). (Fishburn 1970) (2+2)-Free Posets are precisely interval orders. Ascent Sequences An ascent sequence is a sequence x 1 x 2 x n satisfies x 1 = 0 and, for all i with 1 < i n, x i asc(x 1 x 2 x i 1 )+1. (Bousquet-Mélou et al 2009) The ascent sequences are in bijection with the (2+2)-free posets. 5 / 13

13 Previous with (2+2)-Free posets (2+2)-Free Posets Previous Let P n (x) refer to the set of posets of size n that avoid the poset x. Define a function a(x) to return the ascent sequence associated with a poset x. Let A n (y) refer to the set of posets of size n whose ascent sequences avoid the ascent sequence y. 6 / 13

14 Previous with (2+2)-Free posets (2+2)-Free Posets Previous Let P n (x) refer to the set of posets of size n that avoid the poset x. Define a function a(x) to return the ascent sequence associated with a poset x. Let A n (y) refer to the set of posets of size n whose ascent sequences avoid the ascent sequence y. (Stanley 1997) P n (2+2,3+1) = C n. (Enum. Comb. 1) P n (2+2,N) = C n. 6 / 13

15 Previous with (2+2)-Free posets (2+2)-Free Posets Previous Let P n (x) refer to the set of posets of size n that avoid the poset x. Define a function a(x) to return the ascent sequence associated with a poset x. Let A n (y) refer to the set of posets of size n whose ascent sequences avoid the ascent sequence y. (Stanley 1997) P n (2+2,3+1) = C n. (Enum. Comb. 1) P n (2+2,N) = C n. (Trongsiriwat) P n (2+2,N,p 1,,p k ) = A n (0101,a(p 1 ),,a(p k )). 6 / 13

16 Previous with (2+2)-Free posets (2+2)-Free Posets Previous Let P n (x) refer to the set of posets of size n that avoid the poset x. Define a function a(x) to return the ascent sequence associated with a poset x. Let A n (y) refer to the set of posets of size n whose ascent sequences avoid the ascent sequence y. (Stanley 1997) P n (2+2,3+1) = C n. (Enum. Comb. 1) P n (2+2,N) = C n. (Trongsiriwat) P n (2+2,N,p 1,,p k ) = A n (0101,a(p 1 ),,a(p k )). Question 1: Can we explicitly compute P n (2+2,p) for other posets p? 6 / 13

17 Previous with (2+2)-Free posets (2+2)-Free Posets Previous Let P n (x) refer to the set of posets of size n that avoid the poset x. Define a function a(x) to return the ascent sequence associated with a poset x. Let A n (y) refer to the set of posets of size n whose ascent sequences avoid the ascent sequence y. (Stanley 1997) P n (2+2,3+1) = C n. (Enum. Comb. 1) P n (2+2,N) = C n. (Trongsiriwat) P n (2+2,N,p 1,,p k ) = A n (0101,a(p 1 ),,a(p k )). Question 1: Can we explicitly compute P n (2+2,p) for other posets p? Question 2: For what posets p is it true that P n (2+2,p) = A n (a(p))? 6 / 13

18 (2+2)-Free Posets and Ascent Sequences Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free (2+2)-Free Poset p Ascent Sequence a(p) P n (2+2,p) n n n n 1 7 / 13

19 (2+2, )-Free and (2+2, )-Free Posets P n (2+2, ) = P n (2+2, ) (Inverting Procedure) Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free 8 / 13

20 (2+2, )-Free and (2+2, )-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free P n (2+2, ) = P n (2+2, ) (Inverting Procedure) P n (2+2, ) 8 / 13

21 (2+2, )-Free and (2+2, )-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free P n (2+2, ) = P n (2+2, ) (Inverting Procedure) P n (2+2, ) Add a free node. Add a maximal node. or 8 / 13

22 (2+2, )-Free and (2+2, )-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free P n (2+2, ) = P n (2+2, ) (Inverting Procedure) P n (2+2, ) Add a free node. Add a maximal node. or P n (2+2, ) = P n (2+2, ) = 2 n 1 8 / 13

23 (2+2, 3)-Free Posets P n (2+2,3) are posets with level at most 2. Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free 9 / 13

24 (2+2, 3)-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free P n (2+2,3) are posets with level at most 2. Level 2: a nodes: x 1, x 2,, x a. Level 1: b nodes: y 1, y 2,, y b. Define S i = {y j y j x i }. Assign x 1, x 2,, x a to the a nodes such that S 1 S 2 S a. 9 / 13

25 (2+2, 3)-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free P n (2+2,3) are posets with level at most 2. Level 2: a nodes: x 1, x 2,, x a. Level 1: b nodes: y 1, y 2,, y b. Define S i = {y j y j x i }. Assign x 1, x 2,, x a to the a nodes such that S 1 S 2 S a. S 1 S 2 S a. { S 1, S 2,, S a } (( )) b a = ( a+b 1 a ). 9 / 13

26 (2+2, 3)-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free P n (2+2,3) are posets with level at most 2. Level 2: a nodes: x 1, x 2,, x a. Level 1: b nodes: y 1, y 2,, y b. Define S i = {y j y j x i }. Assign x 1, x 2,, x a to the a nodes such that S 1 S 2 S a. S 1 S 2 S a. (( )) ( ) b a+b 1 { S 1, S 2,, S a } =. a a P n (2+2,3) = ( ) a+b 1 = n 1 ( ) n 1 a a a+b=n a=0 = 2 n 1 9 / 13

27 Bijection between (2+2, 3) and (2+2, )-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free Poset P (A,B). A = {Maximal Nodes in P}. B = P \A. 10 / 13

28 Bijection between (2+2, 3) and (2+2, )-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free Poset P (A,B). A = {Maximal Nodes in P}. B = P \A. In (2+2, )-Free, B forms a chain. 10 / 13

29 Bijection between (2+2, 3) and (2+2, )-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free Poset P (A,B). A = {Maximal Nodes in P}. B = P \A. In (2+2, )-Free, B forms a chain. In (2+2, 3)-Free, B forms the lower level. 10 / 13

30 Bijection between (2+2, 3) and (2+2, )-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free Poset P (A,B). A = {Maximal Nodes in P}. B = P \A. In (2+2, )-Free, B forms a chain. In (2+2, 3)-Free, B forms the lower level. Maintains all order relations between A and B. 10 / 13

31 (2+2, 4) and (2+2, Y)-Free Posets Posets and Ascent Sequences (2+2, )-Free and (2+2, )-Free (2+2, 3)-Free Bijection (2+2, 4)-Free and (2+2, Y)-Free P n (2+2,Y) P n (2+2,4). Theorem. P n (2+2,Y) = P n (2+2,4) = 1 + r+m<n ( ) ( ) ( ) ( ) n + mr + 1 n + m(r 1) + 1 n + r(m 1) n + (r 1)(m 1) + n m r n m r n m r n m r, where r 0 and m > / 13

32 Future Directions of Research P n (2+2, ) P n (2+2,3). P n (2+2,Y) P n (2+2,4). Future Directions Acknowledgements 12 / 13

33 Future Directions of Research Future Directions Acknowledgements P n (2+2, ) P n (2+2,3). P n (2+2,Y) P n (2+2,4). Conjecture. Define a function Y(n), n 3 as follows. Y(3) =. Y(n) is the result of adding a minimal node to Y(n 1). Then, P n (2+2,Y(k)) P n (2+2,k). 12 / 13

34 Future Directions of Research Future Directions Acknowledgements P n (2+2, ) P n (2+2,3). P n (2+2,Y) P n (2+2,4). Conjecture. Define a function Y(n), n 3 as follows. Y(3) =. Y(n) is the result of adding a minimal node to Y(n 1). Then, P n (2+2,Y(k)) P n (2+2,k). P n (2+2,3+1) = P n (2+2,N). P n (2+2,Y) = P n (2+2,4) 12 / 13

35 Future Directions of Research Future Directions Acknowledgements P n (2+2, ) P n (2+2,3). P n (2+2,Y) P n (2+2,4). Conjecture. Define a function Y(n), n 3 as follows. Y(3) =. Y(n) is the result of adding a minimal node to Y(n 1). Then, P n (2+2,Y(k)) P n (2+2,k). P n (2+2,3+1) = P n (2+2,N). P n (2+2,Y) = P n (2+2,4) Query. Do there exist other nontrivial Wilf-Equivalences in (2+2)-Free Posets? What other posets p, q exist such that P n (2+2,p) = P n (2+2,q) for all n N? 12 / 13

36 Acknowledgements Future Directions Acknowledgements Thanks to My mentor Wuttisak Trongsiriwat for his valuable insight and guidance. The PRIMES program for making this experience possible. My parents for their support. Thanks to all of you for listening. 13 / 13

1.2 Posets and Zorn s Lemma

1.2 Posets and Zorn s Lemma 1.2 Posets and Zorn s Lemma A set Σ is called partially ordered or a poset with respect to a relation if (i) (reflexivity) ( σ Σ) σ σ ; (ii) (antisymmetry) ( σ,τ Σ) σ τ σ = σ = τ ; 66 (iii) (transitivity)

More information

patterns Lara Pudwell faculty.valpo.edu/lpudwell

patterns Lara Pudwell faculty.valpo.edu/lpudwell faculty.valpo.edu/lpudwell joint work with Andrew Baxter Permutation 2014 East Tennessee State University July 7, 2014 Ascents Definition An ascent in the string x 1 x n is a position i such that x i

More information

Self-dual interval orders and row-fishburn matrices

Self-dual interval orders and row-fishburn matrices Self-dual interval orders and row-fishburn matrices Sherry H. F. Yan Department of Mathematics Zhejiang Normal University Jinhua 321004, P.R. China huifangyan@hotmail.com Yuexiao Xu Department of Mathematics

More information

Definition: A binary relation R from a set A to a set B is a subset R A B. Example:

Definition: A binary relation R from a set A to a set B is a subset R A B. Example: Chapter 9 1 Binary Relations Definition: A binary relation R from a set A to a set B is a subset R A B. Example: Let A = {0,1,2} and B = {a,b} {(0, a), (0, b), (1,a), (2, b)} is a relation from A to B.

More information

MA 524 Final Fall 2015 Solutions

MA 524 Final Fall 2015 Solutions MA 54 Final Fall 05 Solutions Name: Question Points Score 0 0 3 5 4 0 5 5 6 5 7 0 8 5 Total: 60 MA 54 Solutions Final, Page of 8. Let L be a finite lattice. (a) (5 points) Show that p ( (p r)) (p ) (p

More information

Equivalence relations

Equivalence relations Equivalence relations R A A is an equivalence relation if R is 1. reflexive (a, a) R 2. symmetric, and (a, b) R (b, a) R 3. transitive. (a, b), (b, c) R (a, c) R Example: Let S be a relation on people

More information

Section Summary. Relations and Functions Properties of Relations. Combining Relations

Section Summary. Relations and Functions Properties of Relations. Combining Relations Chapter 9 Chapter Summary Relations and Their Properties n-ary Relations and Their Applications (not currently included in overheads) Representing Relations Closures of Relations (not currently included

More information

4.1 Primary Decompositions

4.1 Primary Decompositions 4.1 Primary Decompositions generalization of factorization of an integer as a product of prime powers. unique factorization of ideals in a large class of rings. In Z, a prime number p gives rise to a prime

More information

Sect Least Common Denominator

Sect Least Common Denominator 4 Sect.3 - Least Common Denominator Concept #1 Writing Equivalent Rational Expressions Two fractions are equivalent if they are equal. In other words, they are equivalent if they both reduce to the same

More information

Diskrete Mathematik Solution 6

Diskrete Mathematik Solution 6 ETH Zürich, D-INFK HS 2018, 30. October 2018 Prof. Ueli Maurer Marta Mularczyk Diskrete Mathematik Solution 6 6.1 Partial Order Relations a) i) 11 and 12 are incomparable, since 11 12 and 12 11. ii) 4

More information

A MATRIX REPRESENTATION OF POSETS AND ITS APPLICATIONS MIN SURP RHEE. e In this fashion we can associate a finite poset X with an n X n matrix

A MATRIX REPRESENTATION OF POSETS AND ITS APPLICATIONS MIN SURP RHEE. e In this fashion we can associate a finite poset X with an n X n matrix J. Korean Math. Soc. 27(1990), No. 2, pp. 223-230 A MATRIX REPRESENTATION OF POSETS AND ITS APPLICATIONS 1. Introduction MIN SURP RHEE Let X = {Xl> X2, "', xn} be a finite partially ordered set (a poset,

More information

Multiple Choice Questions for Review

Multiple Choice Questions for Review Equivalence and Order Multiple Choice Questions for Review In each case there is one correct answer (given at the end of the problem set). Try to work the problem first without looking at the answer. Understand

More information

Ascent sequences and the binomial convolution of Catalan numbers

Ascent sequences and the binomial convolution of Catalan numbers AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 64(1) (2016), Pages 21 43 Ascent sequences and the binomial convolution of Catalan numbers Lara K. Pudwell Department of Mathematics and Statistics Valparaiso

More information

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M001: Green) 6 December Points Possible

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M001: Green) 6 December Points Possible Name: CIS 375 Intro to Discrete Mathematics Exam 3 (Section M001: Green) 6 December 2016 Question Points Possible Points Received 1 12 2 14 3 14 4 12 5 16 6 16 7 16 Total 100 Instructions: 1. This exam

More information

DIFFERENTIAL POSETS SIMON RUBINSTEIN-SALZEDO

DIFFERENTIAL POSETS SIMON RUBINSTEIN-SALZEDO DIFFERENTIAL POSETS SIMON RUBINSTEIN-SALZEDO Abstract. In this paper, we give a sampling of the theory of differential posets, including various topics that excited me. Most of the material is taken from

More information

A Combinatorial Proof for the Rank-Unimodality of Poset Order Ideals

A Combinatorial Proof for the Rank-Unimodality of Poset Order Ideals A Combinatorial Proof for the Rank-Unimodality of Poset Order Ideals By: Kevin Rao Clements High School, Sugar Land, Texas Mentored by Dr. Edward Early of St. Edwards University Special thanks to Hans

More information

Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra

Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra D. R. Wilkins Contents 3 Topics in Commutative Algebra 2 3.1 Rings and Fields......................... 2 3.2 Ideals...............................

More information

A (lattice) path formula for birational rowmotion on a product of two chains

A (lattice) path formula for birational rowmotion on a product of two chains A (lattice) path formula for birational rowmotion on a product of two chains Tom Roby (UConn) Describing joint research with Gregg Musiker (University of Minnesota) Workshop on Computer Algebra in Combinatorics

More information

On the Homological Dimension of Lattices

On the Homological Dimension of Lattices On the Homological Dimension of Lattices Roy Meshulam August, 008 Abstract Let L be a finite lattice and let L = L {ˆ0, ˆ1}. It is shown that if the order complex L satisfies H k L 0 then L k. Equality

More information

A Characterization of (3+1)-Free Posets

A Characterization of (3+1)-Free Posets Journal of Combinatorial Theory, Series A 93, 231241 (2001) doi:10.1006jcta.2000.3075, available online at http:www.idealibrary.com on A Characterization of (3+1)-Free Posets Mark Skandera Department of

More information

ONLINE LINEAR DISCREPANCY OF PARTIALLY ORDERED SETS

ONLINE LINEAR DISCREPANCY OF PARTIALLY ORDERED SETS ONLINE LINEAR DISCREPANCY OF PARTIALLY ORDERED SETS MITCHEL T. KELLER, NOAH STREIB, AND WILLIAM T. TROTTER This article is dedicated to Professor Endre Szemerédi on the occasion of his 70 th birthday.

More information

The Saturation Number of Induced Subposets of the Boolean Lattice

The Saturation Number of Induced Subposets of the Boolean Lattice The Saturation Number of Induced Subposets of the Boolean Lattice Michael Ferrara a, Bill Kay b, Lucas Kramer c,1, Ryan R. Martin d, Benjamin Reiniger e, Heather C. Smith f,, Eric Sullivan a a Department

More information

Mathematics 222a Quiz 2 CODE 111 November 21, 2002

Mathematics 222a Quiz 2 CODE 111 November 21, 2002 Student s Name [print] Student Number Mathematics 222a Instructions: Print your name and student number at the top of this question sheet. Print your name and your instructor s name on the answer sheet.

More information

Online Linear Discrepancy of Partially Ordered Sets

Online Linear Discrepancy of Partially Ordered Sets BOLYAI SOCIETY An Irregular Mind MATHEMATICAL STUDIES, 21 (Szemerédi is 70) pp. 1 15. Online Linear Discrepancy of Partially Ordered Sets MITCHEL T. KELLER, NOAH STREIB and WILLIAM T. TROTTER This article

More information

Sets and Motivation for Boolean algebra

Sets and Motivation for Boolean algebra SET THEORY Basic concepts Notations Subset Algebra of sets The power set Ordered pairs and Cartesian product Relations on sets Types of relations and their properties Relational matrix and the graph of

More information

q xk y n k. , provided k < n. (This does not hold for k n.) Give a combinatorial proof of this recurrence by means of a bijective transformation.

q xk y n k. , provided k < n. (This does not hold for k n.) Give a combinatorial proof of this recurrence by means of a bijective transformation. Math 880 Alternative Challenge Problems Fall 2016 A1. Given, n 1, show that: m1 m 2 m = ( ) n+ 1 2 1, where the sum ranges over all positive integer solutions (m 1,..., m ) of m 1 + + m = n. Give both

More information

Equality of P-partition Generating Functions

Equality of P-partition Generating Functions Bucknell University Bucknell Digital Commons Honors Theses Student Theses 2011 Equality of P-partition Generating Functions Ryan Ward Bucknell University Follow this and additional works at: https://digitalcommons.bucknell.edu/honors_theses

More information

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M004: Blue) 6 December Points Possible

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M004: Blue) 6 December Points Possible Name: CIS 375 Intro to Discrete Mathematics Exam 3 (Section M004: Blue) 6 December 2016 Question Points Possible Points Received 1 12 2 14 3 14 4 12 5 16 6 16 7 16 Total 100 Instructions: 1. This exam

More information

Ordering Events in Minkowski Space

Ordering Events in Minkowski Space Ordering Events in Minkowski Space Richard P. Stanley 1 Department of Mathematics Massachusetts Institute of Technology Cambridge, MA 02139 e-mail: rstan@math.mit.edu version of 26 May 2005 Abstract Let

More information

A Brooks-Type Theorem for the Bandwidth of Interval Graphs

A Brooks-Type Theorem for the Bandwidth of Interval Graphs A Brooks-Type Theorem for the Bandwidth of Interval Graphs Mitchel T. Keller a, Stephen J. Young b a School of Mathematics, Georgia Institute of Technology, Atlanta, Georgia 3033-0160 U.S.A. b School of

More information

4.4 Noetherian Rings

4.4 Noetherian Rings 4.4 Noetherian Rings Recall that a ring A is Noetherian if it satisfies the following three equivalent conditions: (1) Every nonempty set of ideals of A has a maximal element (the maximal condition); (2)

More information

Gauss-Seidel method. Dr. Motilal Panigrahi. Dr. Motilal Panigrahi, Nirma University

Gauss-Seidel method. Dr. Motilal Panigrahi. Dr. Motilal Panigrahi, Nirma University Gauss-Seidel method Dr. Motilal Panigrahi Solving system of linear equations We discussed Gaussian elimination with partial pivoting Gaussian elimination was an exact method or closed method Now we will

More information

EQUALITY OF P -PARTITION GENERATING FUNCTIONS

EQUALITY OF P -PARTITION GENERATING FUNCTIONS EQUALITY OF P -PARTITION GENERATING FUNCTIONS PETER R. W. MCNAMARA AND RYAN E. WARD Abstract. To every labeled poset (P, ω), one can associate a quasisymmetric generating function for its (P, ω)-partitions.

More information

d-complete Posets and Hook Formulas Soichi OKADA (Nagoya University) Algebraic and Enumerative Combinatorics in Okayama Okayama, Feb.

d-complete Posets and Hook Formulas Soichi OKADA (Nagoya University) Algebraic and Enumerative Combinatorics in Okayama Okayama, Feb. d-complete Posets and Hook Formulas Soichi OKADA (Nagoya University) Algebraic and Enumerative Combinatorics in Okayama Okayama, Feb. 19, 2018 Introduction Hook formulas for Young diagrams Let λ be a partition

More information

Just the Factors, Ma am HAROLD B. REITER.

Just the Factors, Ma am HAROLD B. REITER. Just the Factors, Ma am HAROLD B REITER UNIVERSITY OF NORTH CAROLINA CHARLOTTE http://wwwmathunccedu/~hbreiter The purpose of this note is to find and study a method for determining and counting all the

More information

Pattern avoidance in ascent sequences

Pattern avoidance in ascent sequences Pattern avoidance in ascent sequences Paul Duncan 25 Vega Court Irvine, CA 92617, USA pauldncn@gmail.com Einar Steingrímsson Department of Computer and Information Sciences University of Strathclyde, Glasgow

More information

2MA105 Algebraic Structures I

2MA105 Algebraic Structures I 2MA105 Algebraic Structures I Per-Anders Svensson http://homepage.lnu.se/staff/psvmsi/2ma105.html Lecture 12 Partially Ordered Sets Lattices Bounded Lattices Distributive Lattices Complemented Lattices

More information

ON THE (CO)HOMOLOGY OF THE POSET OF WEIGHTED PARTITIONS

ON THE (CO)HOMOLOGY OF THE POSET OF WEIGHTED PARTITIONS ON THE (CO)HOMOLOGY OF THE POSET OF WEIGHTED PARTITIONS RAFAEL S. GONZÁLEZ D LEÓN AND MICHELLE L. WACHS Abstract. We consider the poset of weighted partitions Π w n, introduced by Dotsenko and Khoroshkin

More information

CSC Discrete Math I, Spring Relations

CSC Discrete Math I, Spring Relations CSC 125 - Discrete Math I, Spring 2017 Relations Binary Relations Definition: A binary relation R from a set A to a set B is a subset of A B Note that a relation is more general than a function Example:

More information

Shellability of Interval Orders

Shellability of Interval Orders Shellability of Interval Orders Louis J. Billera and Amy N. Myers September 15, 2006 Abstract An finite interval order is a partially ordered set whose elements are in correspondence with a finite set

More information

Part 1. For any A-module, let M[x] denote the set of all polynomials in x with coefficients in M, that is to say expressions of the form

Part 1. For any A-module, let M[x] denote the set of all polynomials in x with coefficients in M, that is to say expressions of the form Commutative Algebra Homework 3 David Nichols Part 1 Exercise 2.6 For any A-module, let M[x] denote the set of all polynomials in x with coefficients in M, that is to say expressions of the form m 0 + m

More information

The least element is 0000, the greatest element is 1111.

The least element is 0000, the greatest element is 1111. Note: this worksheet has been modified to emphasize the Boolean algebra content. Some problems have been deleted.; this, for instance, is why the first problem is #5 rather than #1. 5. Let A be the set

More information

CHOMP ON NUMERICAL SEMIGROUPS

CHOMP ON NUMERICAL SEMIGROUPS CHOMP ON NUMERICAL SEMIGROUPS IGNACIO GARCÍA-MARCO AND KOLJA KNAUER ABSTRACT. We consider the two-player game chomp on posets associated to numerical semigroups and show that the analysis of strategies

More information

Discrete Mathematics. 2. Relations

Discrete Mathematics. 2. Relations Discrete Mathematics 2. Relations Binary Relations Let A, B be any two sets. A binary relation R from A to B is a subset of A B. E.g., Let < : N N : {(n,m) n < m} The notation a R b or arb means (a,b)îr.

More information

0 Sets and Induction. Sets

0 Sets and Induction. Sets 0 Sets and Induction Sets A set is an unordered collection of objects, called elements or members of the set. A set is said to contain its elements. We write a A to denote that a is an element of the set

More information

Packet #5: Binary Relations. Applied Discrete Mathematics

Packet #5: Binary Relations. Applied Discrete Mathematics Packet #5: Binary Relations Applied Discrete Mathematics Table of Contents Binary Relations Summary Page 1 Binary Relations Examples Page 2 Properties of Relations Page 3 Examples Pages 4-5 Representations

More information

arxiv: v3 [math.co] 11 Mar 2015

arxiv: v3 [math.co] 11 Mar 2015 SUBWORD COUNTING AND THE INCIDENCE ALGEBRA ANDERS CLAESSON arxiv:50203065v3 [mathco] Mar 205 Abstract The Pascal matrix, P, is an upper diagonal matrix whose entries are the binomial coefficients In 993

More information

Divisor Problems HAROLD B. REITER.

Divisor Problems HAROLD B. REITER. Divisor Problems HAROLD B REITER UNIVERSITY OF NORTH CAROLINA CHARLOTTE http://wwwmathunccedu/~hbreiter The purpose of this note is to find and study a method for determining and counting all the positive

More information

Chapter 1 Preliminaries

Chapter 1 Preliminaries Chapter 1 Preliminaries 1.1 Conventions and Notations Throughout the book we use the following notations for standard sets of numbers: N the set {1, 2,...} of natural numbers Z the set of integers Q the

More information

INCIDENCE CATEGORIES

INCIDENCE CATEGORIES INCIDENCE CATEGORIES MATT SZCZESNY ABSTRACT. Given a family F of posets closed under disjoint unions and the operation of taking convex subposets, we construct a category C F called the incidence category

More information

COMBINATORIAL PROBLEMS FOR GRAPHS AND PARTIALLY ORDERED SETS

COMBINATORIAL PROBLEMS FOR GRAPHS AND PARTIALLY ORDERED SETS COMBINATORIAL PROBLEMS FOR GRAPHS AND PARTIALLY ORDERED SETS A Thesis Presented to The Academic Faculty by Ruidong Wang In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in

More information

(Pre-)Algebras for Linguistics

(Pre-)Algebras for Linguistics 1. Review of Preorders Linguistics 680: Formal Foundations Autumn 2010 (Pre-)Orders and Induced Equivalence A preorder on a set A is a binary relation ( less than or equivalent to ) on A which is reflexive

More information

Unit 3 Factors & Products

Unit 3 Factors & Products 1 Unit 3 Factors & Products General Outcome: Develop algebraic reasoning and number sense. Specific Outcomes: 3.1 Demonstrate an understanding of factors of whole number by determining the: o prime factors

More information

Tree sets. Reinhard Diestel

Tree sets. Reinhard Diestel 1 Tree sets Reinhard Diestel Abstract We study an abstract notion of tree structure which generalizes treedecompositions of graphs and matroids. Unlike tree-decompositions, which are too closely linked

More information

MULTI-ORDERED POSETS. Lisa Bishop Department of Mathematics, Occidental College, Los Angeles, CA 90041, United States.

MULTI-ORDERED POSETS. Lisa Bishop Department of Mathematics, Occidental College, Los Angeles, CA 90041, United States. INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 7 (2007), #A06 MULTI-ORDERED POSETS Lisa Bishop Department of Mathematics, Occidental College, Los Angeles, CA 90041, United States lbishop@oxy.edu

More information

Unless otherwise specified, V denotes an arbitrary finite-dimensional vector space.

Unless otherwise specified, V denotes an arbitrary finite-dimensional vector space. MAT 90 // 0 points Exam Solutions Unless otherwise specified, V denotes an arbitrary finite-dimensional vector space..(0) Prove: a central arrangement A in V is essential if and only if the dual projective

More information

Ranking Score Vectors of Tournaments

Ranking Score Vectors of Tournaments Utah State University DigitalCommons@USU All Graduate Plan B and other Reports Graduate Studies 5-2011 Ranking Score Vectors of Tournaments Sebrina Ruth Cropper Utah State University Follow this and additional

More information

NOTES FOR COMMUTATIVE ALGEBRA M5P55

NOTES FOR COMMUTATIVE ALGEBRA M5P55 NOTES FOR COMMUTATIVE ALGEBRA M5P55 AMBRUS PÁL 1. Rings and ideals Definition 1.1. A quintuple (A, +,, 0, 1) is a commutative ring with identity, if A is a set, equipped with two binary operations; addition

More information

Standard paths in another composition poset

Standard paths in another composition poset Standard paths in another composition poset Jan Snellman Department of Mathematics, Stockholm University SE-10691 Stockholm, Sweden Jan.Snellmanmath.su.se Submitted: Oct 8, 2003; Accepted: Oct 17, 2004;

More information

Notation Index. gcd(a, b) (greatest common divisor) NT-16

Notation Index. gcd(a, b) (greatest common divisor) NT-16 Notation Index (for all) B A (all functions) B A = B A (all functions) SF-18 (n) k (falling factorial) SF-9 a R b (binary relation) C(n,k) = n! k! (n k)! (binomial coefficient) SF-9 n! (n factorial) SF-9

More information

On Projective Planes

On Projective Planes C-UPPSATS 2002:02 TFM, Mid Sweden University 851 70 Sundsvall Tel: 060-14 86 00 On Projective Planes 1 2 7 4 3 6 5 The Fano plane, the smallest projective plane. By Johan Kåhrström ii iii Abstract It was

More information

BIVARIATE ORDER POLYNOMIALS. Sandra Zuniga Ruiz

BIVARIATE ORDER POLYNOMIALS. Sandra Zuniga Ruiz BIVARIATE ORDER POLYNOMIALS Sandra Zuniga Ruiz Contents 1 Introduction 3 2 Background 4 2.1 Graph Theory................................... 4 2.1.1 Basic Properties.............................. 4 2.1.2

More information

The Erdős-Moser Conjecture

The Erdős-Moser Conjecture The Erdős-Moser Conjecture An Application of Linear Algebra to Combinatorics Richard P. Stanley M.I.T. The function f(s, α) Let S R, #S

More information

ENUMERATING PERMUTATIONS AVOIDING A PAIR OF BABSON-STEINGRíMSSON PATTERNS

ENUMERATING PERMUTATIONS AVOIDING A PAIR OF BABSON-STEINGRíMSSON PATTERNS ENUMERATING PERMUTATIONS AVOIDING A PAIR OF BABSON-STEINGRíMSSON PATTERNS ANDERS CLAESSON AND TOUFIK MANSOUR Abstract. Babson and Steingrímsson introduced generalized permutation patterns that allow the

More information

EXERCISES ON DETERMINANTS, EIGENVALUES AND EIGENVECTORS. 1. Determinants

EXERCISES ON DETERMINANTS, EIGENVALUES AND EIGENVECTORS. 1. Determinants EXERCISES ON DETERMINANTS, EIGENVALUES AND EIGENVECTORS. Determinants Ex... Let A = 0 4 4 2 0 and B = 0 3 0. (a) Compute 0 0 0 0 A. (b) Compute det(2a 2 B), det(4a + B), det(2(a 3 B 2 )). 0 t Ex..2. For

More information

POSETS WITH COVER GRAPH OF PATHWIDTH TWO HAVE BOUNDED DIMENSION

POSETS WITH COVER GRAPH OF PATHWIDTH TWO HAVE BOUNDED DIMENSION POSETS WITH COVER GRAPH OF PATHWIDTH TWO HAVE BOUNDED DIMENSION CSABA BIRÓ, MITCHEL T. KELLER, AND STEPHEN J. YOUNG Abstract. Joret, Micek, Milans, Trotter, Walczak, and Wang recently asked if there exists

More information

Chapter 8. Introduction to Number Theory

Chapter 8. Introduction to Number Theory Chapter 8 Introduction to Number Theory CRYPTOGRAPHY AND NETWORK SECURITY 1 Index 1. Prime Numbers 2. Fermat`s and Euler`s Theorems 3. Testing for Primality 4. Discrete Logarithms 2 Prime Numbers 3 Prime

More information

Axioms of Kleene Algebra

Axioms of Kleene Algebra Introduction to Kleene Algebra Lecture 2 CS786 Spring 2004 January 28, 2004 Axioms of Kleene Algebra In this lecture we give the formal definition of a Kleene algebra and derive some basic consequences.

More information

Subrings and Ideals 2.1 INTRODUCTION 2.2 SUBRING

Subrings and Ideals 2.1 INTRODUCTION 2.2 SUBRING Subrings and Ideals Chapter 2 2.1 INTRODUCTION In this chapter, we discuss, subrings, sub fields. Ideals and quotient ring. We begin our study by defining a subring. If (R, +, ) is a ring and S is a non-empty

More information

COMP 182 Algorithmic Thinking. Relations. Luay Nakhleh Computer Science Rice University

COMP 182 Algorithmic Thinking. Relations. Luay Nakhleh Computer Science Rice University COMP 182 Algorithmic Thinking Relations Luay Nakhleh Computer Science Rice University Chapter 9, Section 1-6 Reading Material When we defined the Sorting Problem, we stated that to sort the list, the elements

More information

Mobius Inversion on Partially Ordered Sets

Mobius Inversion on Partially Ordered Sets Mobius Inversion on Partially Ordered Sets 1 Introduction The theory of Möbius inversion gives us a unified way to look at many different results in combinatorics that involve inverting the relation between

More information

MATH 403 MIDTERM ANSWERS WINTER 2007

MATH 403 MIDTERM ANSWERS WINTER 2007 MAH 403 MIDERM ANSWERS WINER 2007 COMMON ERRORS (1) A subset S of a ring R is a subring provided that x±y and xy belong to S whenever x and y do. A lot of people only said that x + y and xy must belong

More information

Elliptic Curves and the abc Conjecture

Elliptic Curves and the abc Conjecture Elliptic Curves and the abc Conjecture Anton Hilado University of Vermont October 16, 2018 Anton Hilado (UVM) Elliptic Curves and the abc Conjecture October 16, 2018 1 / 37 Overview 1 The abc conjecture

More information

The Weak Order on Pattern-Avoiding Permutations

The Weak Order on Pattern-Avoiding Permutations The Weak Order on Pattern-Avoiding Permutations Brian Drake Department of Mathematics Grand Valley State University Allendale, MI, U.S.A. drakebr@gvsu.edu Submitted: Jan 1, 2014; Accepted: Jul 18, 2014;

More information

Local properties of plane algebraic curves

Local properties of plane algebraic curves Chapter 7 Local properties of plane algebraic curves Throughout this chapter let K be an algebraically closed field of characteristic zero, and as usual let A (K) be embedded into P (K) by identifying

More information

Selected Solutions to Even Problems, Part 3

Selected Solutions to Even Problems, Part 3 Selected Solutions to Even Problems, Part 3 March 14, 005 Page 77 6. If one selects 101 integers from among {1,,..., 00}, then at least two of these numbers must be consecutive, and therefore coprime (which

More information

Unit 2 Boolean Algebra

Unit 2 Boolean Algebra Unit 2 Boolean Algebra 1. Developed by George Boole in 1847 2. Applied to the Design of Switching Circuit by Claude Shannon in 1939 Department of Communication Engineering, NCTU 1 2.1 Basic Operations

More information

IE 5531: Engineering Optimization I

IE 5531: Engineering Optimization I IE 5531: Engineering Optimization I Lecture 12: Nonlinear optimization, continued Prof. John Gunnar Carlsson October 20, 2010 Prof. John Gunnar Carlsson IE 5531: Engineering Optimization I October 20,

More information

Minimal transitive factorizations of a permutation of type (p, q)

Minimal transitive factorizations of a permutation of type (p, q) FPSAC 2012, Nagoya, Japan DMTCS proc. AR, 2012, 679 688 Minimal transitive factorizations of a permutation of type (p, q Jang Soo Kim 1, Seunghyun Seo 2 and Heesung Shin 3 1 School of Mathematics, University

More information

Relations. We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples.

Relations. We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples. Relations We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples. Relations use ordered tuples to represent relationships among

More information

arxiv: v1 [math.co] 16 Feb 2018

arxiv: v1 [math.co] 16 Feb 2018 CHAIN POSETS arxiv:1802.05813v1 [math.co] 16 Feb 2018 IAN T. JOHNSON Abstract. A chain poset, by definition, consists of chains of ordered elements in a poset. We study the chain posets associated to two

More information

Linear Extension Counting is Fixed- Parameter Tractable in Essential Width

Linear Extension Counting is Fixed- Parameter Tractable in Essential Width Linear Extension Counting is Fixed- Parameter Tractable in Essential Width Joshua Cooper University of South Carolina Department of Mathematics AMS Southeastern Sectional Fall 2013 University of Louisville,

More information

AN ALGORITHMIC SIGN-REVERSING INVOLUTION FOR SPECIAL RIM-HOOK TABLEAUX

AN ALGORITHMIC SIGN-REVERSING INVOLUTION FOR SPECIAL RIM-HOOK TABLEAUX AN ALGORITHMIC SIGN-REVERSING INVOLUTION FOR SPECIAL RIM-HOOK TABLEAUX BRUCE E. SAGAN AND JAEJIN LEE Abstract. Eğecioğlu and Remmel [2] gave an interpretation for the entries of the inverse Kostka matrix

More information

Discrete mathematics , Fall Instructor: prof. János Pach

Discrete mathematics , Fall Instructor: prof. János Pach Discrete mathematics 016-017, Fall Instructor: prof. János Pach - covered material - Lecture 1. Counting problems To read: [Lov]: 1.. Sets, 1.3. Number of subsets, 1.5. Sequences, 1.6. Permutations, 1.7.

More information

Rigid monomial ideals

Rigid monomial ideals Rigid monomial ideals Timothy B.P. Clark and Sonja Mapes February 10, 011 Abstract In this paper we investigate the class of rigid monomial ideals. We give a characterization of the minimal free resolutions

More information

Do not open this exam until you are told to begin. You will have 75 minutes for the exam.

Do not open this exam until you are told to begin. You will have 75 minutes for the exam. Math 2603 Midterm 1 Spring 2018 Your Name Student ID # Section Do not open this exam until you are told to begin. You will have 75 minutes for the exam. Check that you have a complete exam. There are 5

More information

The Law of Averages. MARK FLANAGAN School of Electrical, Electronic and Communications Engineering University College Dublin

The Law of Averages. MARK FLANAGAN School of Electrical, Electronic and Communications Engineering University College Dublin The Law of Averages MARK FLANAGAN School of Electrical, Electronic and Communications Engineering University College Dublin Basic Principle of Inequalities: For any real number x, we have 3 x 2 0, with

More information

8.1 Exponent Properties Involving Products

8.1 Exponent Properties Involving Products 8.1. Exponent Properties Involving Products www.ck12.org 8.1 Exponent Properties Involving Products Learning Objectives Use the product of a power property. Use the power of a product property. Simplify

More information

NEW PERSPECTIVES ON INTERVAL ORDERS AND INTERVAL GRAPHS

NEW PERSPECTIVES ON INTERVAL ORDERS AND INTERVAL GRAPHS NEW PERSPECTIVES ON INTERVAL ORDERS AND INTERVAL GRAPHS WILLIAM T. TROTTER Abstract. Interval orders and interval graphs are particularly natural examples of two widely studied classes of discrete structures:

More information

Lecture 16: Computation Tree Logic (CTL)

Lecture 16: Computation Tree Logic (CTL) Lecture 16: Computation Tree Logic (CTL) 1 Programme for the upcoming lectures Introducing CTL Basic Algorithms for CTL CTL and Fairness; computing strongly connected components Basic Decision Diagrams

More information

Conditional Independence and Factorization

Conditional Independence and Factorization Conditional Independence and Factorization Seungjin Choi Department of Computer Science and Engineering Pohang University of Science and Technology 77 Cheongam-ro, Nam-gu, Pohang 37673, Korea seungjin@postech.ac.kr

More information

A Singleton Bound for Lattice Schemes

A Singleton Bound for Lattice Schemes 1 A Singleton Bound for Lattice Schemes Srikanth B. Pai, B. Sundar Rajan, Fellow, IEEE Abstract arxiv:1301.6456v4 [cs.it] 16 Jun 2015 In this paper, we derive a Singleton bound for lattice schemes and

More information

PROBLEMS, MATH 214A. Affine and quasi-affine varieties

PROBLEMS, MATH 214A. Affine and quasi-affine varieties PROBLEMS, MATH 214A k is an algebraically closed field Basic notions Affine and quasi-affine varieties 1. Let X A 2 be defined by x 2 + y 2 = 1 and x = 1. Find the ideal I(X). 2. Prove that the subset

More information

The Topology of k Equal Partial Decomposition Lattices

The Topology of k Equal Partial Decomposition Lattices University of Miami Scholarly Repository Open Access Dissertations Electronic Theses and Dissertations 2012-06-02 The Topology of k Equal Partial Decomposition Lattices Julian A. Moorehead University of

More information

On finite congruence-simple semirings

On finite congruence-simple semirings On finite congruence-simple semirings arxiv:math/0205083v2 [math.ra] 19 Aug 2003 Chris Monico Department of Mathematics and Statistics Texas Tech University Lubbock, TX 79409-1042 cmonico@math.ttu.edu

More information

Logic Synthesis and Verification

Logic Synthesis and Verification Logic Synthesis and Verification Jie-Hong Roland Jiang 江介宏 Department of Electrical Engineering National Taiwan University Fall 24 Two-Level Logic Minimization (/2) Reading: Logic Synthesis in a Nutshell

More information

Math 121 Homework 5: Notes on Selected Problems

Math 121 Homework 5: Notes on Selected Problems Math 121 Homework 5: Notes on Selected Problems 12.1.2. Let M be a module over the integral domain R. (a) Assume that M has rank n and that x 1,..., x n is any maximal set of linearly independent elements

More information

Counting Points on Curves of the Form y m 1 = c 1x n 1 + c 2x n 2 y m 2

Counting Points on Curves of the Form y m 1 = c 1x n 1 + c 2x n 2 y m 2 Counting Points on Curves of the Form y m 1 = c 1x n 1 + c 2x n 2 y m 2 Matthew Hase-Liu Mentor: Nicholas Triantafillou Sixth Annual Primes Conference 21 May 2016 Curves Definition A plane algebraic curve

More information

LOWER BOUNDARY HYPERPLANES OF THE CANONICAL LEFT CELLS IN THE AFFINE WEYL GROUP W a (Ãn 1) Jian-yi Shi

LOWER BOUNDARY HYPERPLANES OF THE CANONICAL LEFT CELLS IN THE AFFINE WEYL GROUP W a (Ãn 1) Jian-yi Shi LOWER BOUNDARY HYPERPLANES OF THE CANONICAL LEFT CELLS IN THE AFFINE WEYL GROUP W a (Ãn 1) Jian-yi Shi Department of Mathematics, East China Normal University, Shanghai, 200062, China and Center for Combinatorics,

More information

CHAPTER 7 DIV, GRAD, AND CURL

CHAPTER 7 DIV, GRAD, AND CURL CHAPTER 7 DIV, GRAD, AND CURL 1 The operator and the gradient: Recall that the gradient of a differentiable scalar field ϕ on an open set D in R n is given by the formula: (1 ϕ = ( ϕ, ϕ,, ϕ x 1 x 2 x n

More information