Matrix compositions. Emanuele Munarini. Dipartimento di Matematica Politecnico di Milano

Size: px
Start display at page:

Download "Matrix compositions. Emanuele Munarini. Dipartimento di Matematica Politecnico di Milano"

Transcription

1 Matrix compositions Emanuele Munarini Dipartimento di Matematica Politecnico di Milano Joint work with Maddalena Poneti and Simone Rinaldi FPSAC 26 San Diego

2 Motivation: L-convex polyominoes A polyomino is a connected finite set of cells in the plane Z Z Some examples are A polyomino is L-convex when every pair of cells can be connected by an internal path with at most one change of direction Using formal power series techniques, in G Castiglione, A Frosini, A Restivo, S Rinaldi, Enumeration of L-convex polyominoes, 25 it was proved that the numbers f n of all L- convex polyominoes with perimeter 2(n + 2) satisfy the recurrence f n+2 = 4f n+ 2f n (n ) Specifically f n =, 2, 7, 24, 42, 2, 2

3 Compositions and 2-compositions A composition of a number n N is any k-tuple (x,, x k ) of positive integers such that x + + x k = n A 2-composition of length k of a number n N is a 2 k matrix [ ] x x M = 2 x k y y 2 y k with nonnegative integer entries, without zero columns, such that the sum of all the entries is n For instance the 2-compositions of n = 2 are: [ ] [ ] [ ] [ ] [ ] [ ] [ ] 2,,,,,, 2 The number of all 2-compositions of n is f n 3

4 Polyominoes and 2-compositions Since the number of all L-convex polyominoes with perimeter 2(n+2) is equal to the number all 2-compositions of n, there exists a bijection between this two combinatorial classes In G Castiglione, A Frosini, E Munarini, A Restivo, S Rinaldi, Enumeration of L-convex polyominoes II Bijection and area, FPSAC 5 it was given an explicit bijection Here follows a sketch 4

5 The bijection a b c a b c a d d a d b b aabcdabcdbdab The factorization in c h a, bd k (h, k ), c r d s (r, s ) implies the bijection: [ ] [ ] [ ] c h h + a, bd k, c r d s r k + s a(c a)(bd )(cd)(c a)(bd )(cd)(bd)(c a)b [ ] 2 5

6 Aim of the talk: to give an elementary introduction to matrix compositions Structure of the talk: definition of matrix compositions recurrences and explicit form Cassini-like identity and combinatorial interpretation some encoding other results 6

7 Definition of m-compositions Let m N, m > An m-row matrix composition (m-composition for short) of length k of a number n N is an m k matrix such that M = x ij N i, j x x k x m x mk (x j,, x kj ) (,, ) j σ(m) = m k i= j= x ij = n C (m) n = { m-compositions of n } C (m) n,k = { m-compositions of n of length k } n = C (m) n n,k = C(m) n,k 7

8 Multisets A multiset on a set X is a function µ : X N The multiplicity of an element x X is µ(x) The order of µ is ord(µ) = x X µ(x) The number of all multisets of order k on a set of size n is the multiset coefficient (( )) n = nk k k! = n(n + ) (n + k ) k! The columns of an m-composition are multisets with positive order on an m-set M = c c m Each column (c,, c k ) is equivalent to the multiset µ : [m] N defined by ( ) 2 m µ = c c 2 c k with positive order: µ() + + µ(m) > 8

9 Sum recursions M = x x 2 x k+ x m x m2 x mk+ n+m k n+m,k+ = i= (( )) m i n+m i,k n+m n+m = i= (( )) m i n+m i 9

10 Main recurrence Let A i be the set of all m-compositions M = x i of n + m with x i Then C (m) n+m = A A m and for the Principle of Inclusion-Exclusion n+m = S [m] S ( ) S A i i S i S A i is formed by all the m-compositions M = x i for every i S Then x i A i = i S 2c(m) n+m S

11 Therefore we have the main recurrence n+m = 2 m i= ( m i ) ( ) i n+m i For m = 2, 3, 4 we have the recurrences: c (2) n+2 = 4c(2) n+ 2c(2) n c (3) n+3 = 6c(3) n+2 6c(3) n+ + 2c(3) n c (4) n+4 = 8c(4) n+3 2c(4) n+2 + 8c(4) n+ 2c(4) n Similarly n+m,k+ = m i= + ( m i ) ( ) i m i= ( m i n+m i,k + ) ( ) i n+m i,k+

12 Explicit form Let A i be the set of all matrices M M m,k (N) where the i-th column is the zero vector and σ(m) = n Then = A A k and for the Principle of Inclusion-Exclusion C (m) n,k n,k = A A k = S [k] ( ) S A i i S An element in i S A i is a matrix M M m,k (N) with a zero vector in each column indexed by the elements of S Removing such columns we just have a multiset of order n on a set of size mk m S Then A i = i S and consequently (( m(k S ) n )) n,k = k i= ( k i ) (( m(k i) n )) ( ) i 2

13 Cassini-like identities The numbers f n = c (2) n of all 2-compositions of n satisfy a Cassini-like identity: for every n f n f n+2 f 2 n+ = 2n Equivalently f n f n+ f n+ f n+2 = 2n For the numbers n such an identity becomes n n+ n+m n+ c(m) n+m n+2 c(m) c(m) n+m c(m) n+m n+2m 2 = ( ) m 2 2 n for every m and n 3

14 First reduction Let C (m) n = n n+ n+m 2 n+m By the main recurrence n+ n+m n+2 n+m c(m) n+m c(m) n+2m 3 n+m c(m) n+2m 2 n+m = α m n+m + + α n+ + α c n (m) where α k = ( ) m k 2 ( m k The last row can be simplified subtracting a suitable linear combination of the first m rows ) 4

15 We obtain the determinant n n+ n+m 2 α n n+ n+m n+2 n+m c(m) n+m c(m) n+2m 3 α n α n+m 2 Extracting α = ( ) m 2 from the last row and shifting cyclically all rows downward we have det C (m) n = 2 det C (m) n Then, for every n, it follows that: where det C (m) n = 2 n det C (m) C (m) = [ i+j+ ]m i,j= To compute the determinant of this matrix it is useful to consider a combinatorial interpretation of m-compositions 5

16 Combinatorial interpretation Given the 3-composition M = consider its entries as the number of occurrences of three given colors, for instance red, green and blue, linearly ordered red < green < blue Then M = is equivalent to a 3-colored bargraph of area with 4 columns 6

17 Now, writing the columns horizontally, from the bottom to the top, we have a 3-colored linear partition of the set {, 2,, } with 4 blocks: In general, the m-compositions of n of length k are equivalent to the m-colored bargraphs of area n with k columns m-colored linear partitions of [n] with k blocks; 7

18 A useful sum Let π be an m-colored linear partition of L = {x,, x i+,, x i+j+ } The element x i+ belongs to a block of the form {x i h+,, x i, x i+, x i+2,, x i+k+2 }: π x i h+ x i+ x i+k+ π 2 i h h k j k Removing this block, π splits into two m-colored linear partitions π and π 2 Then it follows that i+j+ = h,k ( m h + k + ) i h c(m) j k 8

19 Second reduction The previous identity implies the decomposition where C (m) = L (m) M (m) L (m) T L (m) = [ i j ]m i,j= = Then M (m) = [ ( m i + j + c c c c m c c ) ] m det C (m) = det M (m) i,j= To calculate det M (m) we will use another identity coming form our combinatorial interpretation 9

20 Another useful sum Recall that ( ) m i+j+ gives the number of all the order maps f : [i + j + ] [m] Suppose that f(i + ) = k, with k [m] Since f is order preserving, it follows that x i then f(x) k i + 2 x i + j + then k f(x) m Then ( m i + j + ) = = m ( k k= m k= ) ( m k + i j ( i + k) ( m k i j ) ) 2

21 Final step The previous identity implies that where and M (m) = B (m) B (m) B (m) = B (m) = [ ( i + j i [ ( m i Since B (m) = J (m) B (m) where J (m) = [δ i+j,m ] m i,j= = we have and j ) ] m i,j= ) ] m i,j= M (m) = B (m) J (m) B (m), det M (m) = det J (m) (det B (m) ) 2 2

22 Since, as well known, and we have and consequently det J (m) = ( ) m/2 det B (m) = det M (m) = ( ) m/2 det C (m) = det M (m) = ( ) m/2 Finally, since for every n we have then det C (m) n = 2 n det C (m), det C (m) n = ( ) m/2 2 n 22

23 m-compositions as words Consider each m-composition as the concatenation of its columns: M = = Each column (c,, c k ) is equivalent to the multiset µ : [m] N defined by ( ) 2 m µ = c c 2 c k with positive order: µ() + + µ(m) > This means that C (m) = {a µ : µ M (m) } where M (m) is the set of all multisets µ : [m] N with positive order Let X = {x µ : µ M (m) } Then, for a µ x µ, we have the generating series for C (m) c(x) = µ M (m) x µ 3 23

24 In particular, for x µ = x ord(µ) we get (x) = n n x n = h(x) where that is Then h(x) = µ M (m) h(x) = x µ = k (( m ( x) m k )) x k (x) = ( x)m 2( x) m From here we have the previous results and a the following new recurrence n+ = δ n, + 2 n + n k= ( m + k k + ) c (m) n k 24

25 m-compositions of Carlitz type A Carlitz composition is a composition without two equal consecutive elements We say that an m-composition is of Carlitz type when no two adjacent columns are equal For instance M = x 3 3 is of Carlitz type only when x 4 Let Z be the set of all words corresponding to the m-compositions of Carlitz type and let Z µ be the subset of Z formed by the words ending with a µ, for every µ M (m) 25

26 Then Z = + µ M (m) Z µ Z µ = (Z Z µ )a µ µ M (m) To obtain the generating series for Z and Z µ substitute each letter a µ with the indeterminate x µ : z(x) = + µ M (m) z µ (X) = (z(x) z µ (X))x µ Then and finally z µ (X) z µ (X) = x µ + x µ z(x) µ M (m) z(x) = µ M (m) x µ + x µ 26

27 For x µ = x ord(µ) we have n z (m) n x n = k k (( )) m x k + x k where z n (m) is the number of all m-compositions of Carlitz type of n Expanding this series we can obtain: where z (m) n = k α,β N k α β=n (( m α )) ( ) β k α β = a b + + a k b k (( )) m α β = b + + b k = (( )) m a (( )) m a k for every α = (a,, a k ) and β = (b,, b k ) 27

28 A regular language for m-compositions The encoding used in A Björner, R Stanley, An analogue of Young s lattice for compositions, FP- SAC 5 for ordinary compositions can be extended to m-compositions as follows For instance M = = = = = a a a 3 b 2 b a 3 b a a 2 a 3 a 3 28

29 More precisely, given the finite alphabet A m = {a,, a m, b,, b m }, we can define a map l : C (m) A m setting l a, l a m, + l b, + and proceeding as in the example l b m The words of the language L m = l(c (m) ) A m, corresponding to the m-compositions, are characterized by the following conditions: i) the first letter is a or or a m ; ii) each letter a i or b i can be followed by any b j, while it can be followed by a letter a j only when i j 29

30 This characterization implies a unique factorization of the form xy, where: x = a i a i m m ( ε), with i,, i m ; y = y y k (possibly empty), where y r = b j a q j j aq m, q j,, q m Then L m is a regular language defined by the unambiguous regular expression: ε + L ml m where ε is the empty word and L m = a+ a 2 a m + a+ 2 a 3 a m + + a+ m, L m = ( b a a 2 a m + b 2a 2 a m + + b ma m ) This is the basis for an efficient algorithm for the exhaustive generation of m-compositions (Gray code), as described in: E Grazzini, E Munarini, M Poneti, S Rinaldi, On the generation of m- compositions and m-partitions, 26 3

31 Other results: Asymptotic expansion: n n 2m( m 2 ) ( m 2 m 2 ) n m-compositions without zero rows: f (m) n = f (m) (x) = m k= m k= ( m k ( m k ) ( ) n k c (k) n ) ( ) n k ( x) k 2( x) k m-compositions with palindromic rows: n p (m) n x n = ( + x)m 2( x 2 ) m enumeration of various kind of m-colored bargraphs 3

On the Sequence A and Its Combinatorial Interpretations

On the Sequence A and Its Combinatorial Interpretations 1 2 47 6 2 11 Journal of Integer Sequences, Vol. 9 (2006), Article 06..1 On the Sequence A079500 and Its Combinatorial Interpretations A. Frosini and S. Rinaldi Università di Siena Dipartimento di Scienze

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

Standard Young Tableaux Old and New

Standard Young Tableaux Old and New Standard Young Tableaux Old and New Ron Adin and Yuval Roichman Department of Mathematics Bar-Ilan University Workshop on Group Theory in Memory of David Chillag Technion, Haifa, Oct. 14 1 2 4 3 5 7 6

More information

Boolean Product Polynomials and the Resonance Arrangement

Boolean Product Polynomials and the Resonance Arrangement Boolean Product Polynomials and the Resonance Arrangement Sara Billey University of Washington Based on joint work with: Lou Billera and Vasu Tewari FPSAC July 17, 2018 Outline Symmetric Polynomials Schur

More information

COMBINATORIAL PROPERTIES OF THE ANTICHAINS OF A GARLAND

COMBINATORIAL PROPERTIES OF THE ANTICHAINS OF A GARLAND #A29 INTEGERS 9 (2009), 353-374 COMBINATORIAL PROPERTIES OF THE ANTICHAINS OF A GARLAND Emanuele Munarini Dipartimento di Matematica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.

More information

Chapter 5: Integer Compositions and Partitions and Set Partitions

Chapter 5: Integer Compositions and Partitions and Set Partitions Chapter 5: Integer Compositions and Partitions and Set Partitions Prof. Tesler Math 184A Winter 2017 Prof. Tesler Ch. 5: Compositions and Partitions Math 184A / Winter 2017 1 / 32 5.1. Compositions A strict

More information

ON MULTI-AVOIDANCE OF RIGHT ANGLED NUMBERED POLYOMINO PATTERNS

ON MULTI-AVOIDANCE OF RIGHT ANGLED NUMBERED POLYOMINO PATTERNS INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 4 (2004), #A21 ON MULTI-AVOIDANCE OF RIGHT ANGLED NUMBERED POLYOMINO PATTERNS Sergey Kitaev Department of Mathematics, University of Kentucky,

More information

Chapter 5: Integer Compositions and Partitions and Set Partitions

Chapter 5: Integer Compositions and Partitions and Set Partitions Chapter 5: Integer Compositions and Partitions and Set Partitions Prof. Tesler Math 184A Fall 2017 Prof. Tesler Ch. 5: Compositions and Partitions Math 184A / Fall 2017 1 / 46 5.1. Compositions A strict

More information

Maximizing the descent statistic

Maximizing the descent statistic Maximizing the descent statistic Richard EHRENBORG and Swapneel MAHAJAN Abstract For a subset S, let the descent statistic β(s) be the number of permutations that have descent set S. We study inequalities

More information

Notes on the Catalan problem

Notes on the Catalan problem Notes on the Catalan problem Daniele Paolo Scarpazza Politecnico di Milano March 16th, 2004 Daniele Paolo Scarpazza Notes on the Catalan problem [1] An overview of Catalan problems

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

MULTI-RESTRAINED STIRLING NUMBERS

MULTI-RESTRAINED STIRLING NUMBERS MULTI-RESTRAINED STIRLING NUMBERS JI YOUNG CHOI DEPARTMENT OF MATHEMATICS SHIPPENSBURG UNIVERSITY SHIPPENSBURG, PA 17257, U.S.A. Abstract. Given positive integers n, k, and m, the (n, k)-th m- restrained

More information

Topics in Algorithms. 1 Generation of Basic Combinatorial Objects. Exercises. 1.1 Generation of Subsets. 1. Consider the sum:

Topics in Algorithms. 1 Generation of Basic Combinatorial Objects. Exercises. 1.1 Generation of Subsets. 1. Consider the sum: Topics in Algorithms Exercises 1 Generation of Basic Combinatorial Objects 1.1 Generation of Subsets 1. Consider the sum: (ε 1,...,ε n) {0,1} n f(ε 1,..., ε n ) (a) Show that it may be calculated in O(n)

More information

F 2k 1 = F 2n. for all positive integers n.

F 2k 1 = F 2n. for all positive integers n. Question 1 (Fibonacci Identity, 15 points). Recall that the Fibonacci numbers are defined by F 1 = F 2 = 1 and F n+2 = F n+1 + F n for all n 0. Prove that for all positive integers n. n F 2k 1 = F 2n We

More information

Economics 204 Fall 2011 Problem Set 1 Suggested Solutions

Economics 204 Fall 2011 Problem Set 1 Suggested Solutions Economics 204 Fall 2011 Problem Set 1 Suggested Solutions 1. Suppose k is a positive integer. Use induction to prove the following two statements. (a) For all n N 0, the inequality (k 2 + n)! k 2n holds.

More information

Recurrence Relations and Recursion: MATH 180

Recurrence Relations and Recursion: MATH 180 Recurrence Relations and Recursion: MATH 180 1: Recursively Defined Sequences Example 1: The sequence a 1,a 2,a 3,... can be defined recursively as follows: (1) For all integers k 2, a k = a k 1 + 1 (2)

More information

Asymptotics for minimal overlapping patterns for generalized Euler permutations, standard tableaux of rectangular shapes, and column strict arrays

Asymptotics for minimal overlapping patterns for generalized Euler permutations, standard tableaux of rectangular shapes, and column strict arrays Discrete Mathematics and Theoretical Computer Science DMTCS vol. 8:, 06, #6 arxiv:50.0890v4 [math.co] 6 May 06 Asymptotics for minimal overlapping patterns for generalized Euler permutations, standard

More information

Chapter 4 - MATRIX ALGEBRA. ... a 2j... a 2n. a i1 a i2... a ij... a in

Chapter 4 - MATRIX ALGEBRA. ... a 2j... a 2n. a i1 a i2... a ij... a in Chapter 4 - MATRIX ALGEBRA 4.1. Matrix Operations A a 11 a 12... a 1j... a 1n a 21. a 22.... a 2j... a 2n. a i1 a i2... a ij... a in... a m1 a m2... a mj... a mn The entry in the ith row and the jth column

More information

A conjecture on the alphabet size needed to produce all correlation classes of pairs of words

A conjecture on the alphabet size needed to produce all correlation classes of pairs of words A conjecture on the alphabet size needed to produce all correlation classes of pairs of words Paul Leopardi Thanks: Jörg Arndt, Michael Barnsley, Richard Brent, Sylvain Forêt, Judy-anne Osborn. Mathematical

More information

A Multivariate Determinant Associated with Partitions (preliminary version)

A Multivariate Determinant Associated with Partitions (preliminary version) A Multivariate Determinant Associated with Partitions (preliminary version) Richard P. Stanley September 6, 203 Introduction. E. R. Berlekamp [][2] raised a question concerning the entries of certain matrices

More information

Sets are one of the basic building blocks for the types of objects considered in discrete mathematics.

Sets are one of the basic building blocks for the types of objects considered in discrete mathematics. Section 2.1 Introduction Sets are one of the basic building blocks for the types of objects considered in discrete mathematics. Important for counting. Programming languages have set operations. Set theory

More information

Some statistics on permutations avoiding generalized patterns

Some statistics on permutations avoiding generalized patterns PUMA Vol 8 (007), No 4, pp 7 Some statistics on permutations avoiding generalized patterns Antonio Bernini Università di Firenze, Dipartimento di Sistemi e Informatica, viale Morgagni 65, 504 Firenze,

More information

A BIJECTION BETWEEN WELL-LABELLED POSITIVE PATHS AND MATCHINGS

A BIJECTION BETWEEN WELL-LABELLED POSITIVE PATHS AND MATCHINGS Séminaire Lotharingien de Combinatoire 63 (0), Article B63e A BJECTON BETWEEN WELL-LABELLED POSTVE PATHS AND MATCHNGS OLVER BERNARD, BERTRAND DUPLANTER, AND PHLPPE NADEAU Abstract. A well-labelled positive

More information

Review problems solutions

Review problems solutions Review problems solutions Math 3152 December 15, 2017 1. Use the binomial theorem to prove that, for all n 1 and k satisfying 0 k n, ( )( ) { n i ( 1) i k 1 if k n; i k 0 otherwise. ik Solution: Using

More information

The q-exponential generating function for permutations by consecutive patterns and inversions

The q-exponential generating function for permutations by consecutive patterns and inversions The q-exponential generating function for permutations by consecutive patterns and inversions Don Rawlings Abstract The inverse of Fedou s insertion-shift bijection is used to deduce a general form for

More information

A matrix over a field F is a rectangular array of elements from F. The symbol

A matrix over a field F is a rectangular array of elements from F. The symbol Chapter MATRICES Matrix arithmetic A matrix over a field F is a rectangular array of elements from F The symbol M m n (F ) denotes the collection of all m n matrices over F Matrices will usually be denoted

More information

are the q-versions of n, n! and . The falling factorial is (x) k = x(x 1)(x 2)... (x k + 1).

are the q-versions of n, n! and . The falling factorial is (x) k = x(x 1)(x 2)... (x k + 1). Lecture A jacques@ucsd.edu Notation: N, R, Z, F, C naturals, reals, integers, a field, complex numbers. p(n), S n,, b(n), s n, partition numbers, Stirling of the second ind, Bell numbers, Stirling of the

More information

Two-boundary lattice paths and parking functions

Two-boundary lattice paths and parking functions Two-boundary lattice paths and parking functions Joseph PS Kung 1, Xinyu Sun 2, and Catherine Yan 3,4 1 Department of Mathematics, University of North Texas, Denton, TX 76203 2,3 Department of Mathematics

More information

Partition of Integers into Distinct Summands with Upper Bounds. Partition of Integers into Even Summands. An Example

Partition of Integers into Distinct Summands with Upper Bounds. Partition of Integers into Even Summands. An Example Partition of Integers into Even Summands We ask for the number of partitions of m Z + into positive even integers The desired number is the coefficient of x m in + x + x 4 + ) + x 4 + x 8 + ) + x 6 + x

More information

A combinatorial approach to the q, t-symmetry relation in Macdonald polynomials

A combinatorial approach to the q, t-symmetry relation in Macdonald polynomials A combinatorial approach to the q, t-symmetry relation in Macdonald polynomials Maria Monks Gillespie Department of Mathematics University of California, Berkeley Berkeley, CA, U.S.A. monks@math.berkeley.edu

More information

The Zeta Function of a Cyclic Language with Connections to Elliptic Curves and Chip-Firing Games

The Zeta Function of a Cyclic Language with Connections to Elliptic Curves and Chip-Firing Games The Zeta Function of a Cyclic Language with Connections to Elliptic Curves and Chip-Firing Games University of California, San Diego March 14, 2007 University of California, San Diego Slide 1 OUTLINE I.

More information

Notes on generating functions in automata theory

Notes on generating functions in automata theory Notes on generating functions in automata theory Benjamin Steinberg December 5, 2009 Contents Introduction: Calculus can count 2 Formal power series 5 3 Rational power series 9 3. Rational power series

More information

A multiplicative deformation of the Möbius function for the poset of partitions of a multiset

A multiplicative deformation of the Möbius function for the poset of partitions of a multiset Contemporary Mathematics A multiplicative deformation of the Möbius function for the poset of partitions of a multiset Patricia Hersh and Robert Kleinberg Abstract. The Möbius function of a partially ordered

More information

MATH 580, midterm exam SOLUTIONS

MATH 580, midterm exam SOLUTIONS MATH 580, midterm exam SOLUTIONS Solve the problems in the spaces provided on the question sheets. If you run out of room for an answer, continue on the back of the page or use the Extra space empty page

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

Analytic Number Theory Solutions

Analytic Number Theory Solutions Analytic Number Theory Solutions Sean Li Cornell University sxl6@cornell.edu Jan. 03 Introduction This document is a work-in-progress solution manual for Tom Apostol s Introduction to Analytic Number Theory.

More information

From alternating sign matrices to Painlevé VI

From alternating sign matrices to Painlevé VI From alternating sign matrices to Painlevé VI Hjalmar Rosengren Chalmers University of Technology and University of Gothenburg Nagoya, July 31, 2012 Hjalmar Rosengren (Chalmers University) Nagoya, July

More information

Lecture 4: Counting, Pigeonhole Principle, Permutations, Combinations Lecturer: Lale Özkahya

Lecture 4: Counting, Pigeonhole Principle, Permutations, Combinations Lecturer: Lale Özkahya BBM 205 Discrete Mathematics Hacettepe University http://web.cs.hacettepe.edu.tr/ bbm205 Lecture 4: Counting, Pigeonhole Principle, Permutations, Combinations Lecturer: Lale Özkahya Resources: Kenneth

More information

Generating Functions

Generating Functions Semester 1, 2004 Generating functions Another means of organising enumeration. Two examples we have seen already. Example 1. Binomial coefficients. Let X = {1, 2,..., n} c k = # k-element subsets of X

More information

Convergence rates in generalized Zeckendorf decomposition problems

Convergence rates in generalized Zeckendorf decomposition problems Convergence rates in generalized Zeckendorf decomposition problems Ray Li (ryli@andrew.cmu.edu) 1 Steven J Miller (sjm1@williams.edu) 2 Zhao Pan (zhaop@andrew.cmu.edu) 3 Huanzhong Xu (huanzhox@andrew.cmu.edu)

More information

MATH 61-02: PRACTICE PROBLEMS FOR FINAL EXAM

MATH 61-02: PRACTICE PROBLEMS FOR FINAL EXAM MATH 61-02: PRACTICE PROBLEMS FOR FINAL EXAM (FP1) The exclusive or operation, denoted by and sometimes known as XOR, is defined so that P Q is true iff P is true or Q is true, but not both. Prove (through

More information

Math 324 Summer 2012 Elementary Number Theory Notes on Mathematical Induction

Math 324 Summer 2012 Elementary Number Theory Notes on Mathematical Induction Math 4 Summer 01 Elementary Number Theory Notes on Mathematical Induction Principle of Mathematical Induction Recall the following axiom for the set of integers. Well-Ordering Axiom for the Integers If

More information

Definition 2.3. We define addition and multiplication of matrices as follows.

Definition 2.3. We define addition and multiplication of matrices as follows. 14 Chapter 2 Matrices In this chapter, we review matrix algebra from Linear Algebra I, consider row and column operations on matrices, and define the rank of a matrix. Along the way prove that the row

More information

Catalan numbers Wonders of Science CESCI, Madurai, August

Catalan numbers Wonders of Science CESCI, Madurai, August Catalan numbers Wonders of Science CESCI, Madurai, August 25 2009 V.S. Sunder Institute of Mathematical Sciences Chennai, India sunder@imsc.res.in August 25, 2009 Enumerative combinatorics Enumerative

More information

Axioms for Set Theory

Axioms for Set Theory Axioms for Set Theory The following is a subset of the Zermelo-Fraenkel axioms for set theory. In this setting, all objects are sets which are denoted by letters, e.g. x, y, X, Y. Equality is logical identity:

More information

DISCRETIZED CONFIGURATIONS AND PARTIAL PARTITIONS

DISCRETIZED CONFIGURATIONS AND PARTIAL PARTITIONS DISCRETIZED CONFIGURATIONS AND PARTIAL PARTITIONS AARON ABRAMS, DAVID GAY, AND VALERIE HOWER Abstract. We show that the discretized configuration space of k points in the n-simplex is homotopy equivalent

More information

Actions and Identities on Set Partitions

Actions and Identities on Set Partitions Actions and Identities on Set Partitions The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation As Published Publisher Marberg,

More information

NOTES ABOUT SATURATED CHAINS IN THE DYCK PATH POSET. 1. Basic Definitions

NOTES ABOUT SATURATED CHAINS IN THE DYCK PATH POSET. 1. Basic Definitions NOTES ABOUT SATURATED CHAINS IN THE DYCK PATH POSET JENNIFER WOODCOCK 1. Basic Definitions Dyck paths are one of the many combinatorial objects enumerated by the Catalan numbers, sequence A000108 in [2]:

More information

PUTNAM PROBLEMS SEQUENCES, SERIES AND RECURRENCES. Notes

PUTNAM PROBLEMS SEQUENCES, SERIES AND RECURRENCES. Notes PUTNAM PROBLEMS SEQUENCES, SERIES AND RECURRENCES Notes. x n+ = ax n has the general solution x n = x a n. 2. x n+ = x n + b has the general solution x n = x + (n )b. 3. x n+ = ax n + b (with a ) can be

More information

Constructing c-ary Perfect Factors

Constructing c-ary Perfect Factors Constructing c-ary Perfect Factors Chris J. Mitchell Computer Science Department Royal Holloway University of London Egham Hill Egham Surrey TW20 0EX England. Tel.: +44 784 443423 Fax: +44 784 443420 Email:

More information

Generating Functions of Partitions

Generating Functions of Partitions CHAPTER B Generating Functions of Partitions For a complex sequence {α n n 0,, 2, }, its generating function with a complex variable q is defined by A(q) : α n q n α n [q n ] A(q). When the sequence has

More information

COMBINATORIAL COUNTING

COMBINATORIAL COUNTING COMBINATORIAL COUNTING Our main reference is [1, Section 3] 1 Basic counting: functions and subsets Theorem 11 (Arbitrary mapping Let N be an n-element set (it may also be empty and let M be an m-element

More information

Some Catalan Musings p. 1. Some Catalan Musings. Richard P. Stanley

Some Catalan Musings p. 1. Some Catalan Musings. Richard P. Stanley Some Catalan Musings p. 1 Some Catalan Musings Richard P. Stanley Some Catalan Musings p. 2 An OEIS entry A000108: 1,1,2,5,14,42,132,429,... Some Catalan Musings p. 2 An OEIS entry A000108: 1,1,2,5,14,42,132,429,...

More information

Chapter 3. Differentiable Mappings. 1. Differentiable Mappings

Chapter 3. Differentiable Mappings. 1. Differentiable Mappings Chapter 3 Differentiable Mappings 1 Differentiable Mappings Let V and W be two linear spaces over IR A mapping L from V to W is called a linear mapping if L(u + v) = Lu + Lv for all u, v V and L(λv) =

More information

Modeling and Stability Analysis of a Communication Network System

Modeling and Stability Analysis of a Communication Network System Modeling and Stability Analysis of a Communication Network System Zvi Retchkiman Königsberg Instituto Politecnico Nacional e-mail: mzvi@cic.ipn.mx Abstract In this work, the modeling and stability problem

More information

Discrete Mathematics & Mathematical Reasoning Chapter 6: Counting

Discrete Mathematics & Mathematical Reasoning Chapter 6: Counting Discrete Mathematics & Mathematical Reasoning Chapter 6: Counting Kousha Etessami U. of Edinburgh, UK Kousha Etessami (U. of Edinburgh, UK) Discrete Mathematics (Chapter 6) 1 / 39 Chapter Summary The Basics

More information

Combinatorial Enumeration. Jason Z. Gao Carleton University, Ottawa, Canada

Combinatorial Enumeration. Jason Z. Gao Carleton University, Ottawa, Canada Combinatorial Enumeration Jason Z. Gao Carleton University, Ottawa, Canada Counting Combinatorial Structures We are interested in counting combinatorial (discrete) structures of a given size. For example,

More information

Fibonacci numbers. Chapter The Fibonacci sequence. The Fibonacci numbers F n are defined recursively by

Fibonacci numbers. Chapter The Fibonacci sequence. The Fibonacci numbers F n are defined recursively by Chapter Fibonacci numbers The Fibonacci sequence The Fibonacci numbers F n are defined recursively by F n+ = F n + F n, F 0 = 0, F = The first few Fibonacci numbers are n 0 5 6 7 8 9 0 F n 0 5 8 55 89

More information

An Introduction to Transversal Matroids

An Introduction to Transversal Matroids An Introduction to Transversal Matroids Joseph E Bonin The George Washington University These slides and an accompanying expository paper (in essence, notes for this talk, and more) are available at http://homegwuedu/

More information

Partitions, rooks, and symmetric functions in noncommuting variables

Partitions, rooks, and symmetric functions in noncommuting variables Partitions, rooks, and symmetric functions in noncommuting variables Mahir Bilen Can Department of Mathematics, Tulane University New Orleans, LA 70118, USA, mcan@tulane.edu and Bruce E. Sagan Department

More information

Lattice polygons. P : lattice polygon in R 2 (vertices Z 2, no self-intersections)

Lattice polygons. P : lattice polygon in R 2 (vertices Z 2, no self-intersections) Lattice polygons P : lattice polygon in R 2 (vertices Z 2, no self-intersections) A, I, B A = area of P I = # interior points of P (= 4) B = #boundary points of P (= 10) Pick s theorem Georg Alexander

More information

Enumeration of polyominoes defined in terms of pattern avoidance or convexity constraints

Enumeration of polyominoes defined in terms of pattern avoidance or convexity constraints arxiv:45.346v [math.co] 3 May 24 Enumeration of polyominoes defined in terms of pattern avoidance or convexity constraints Thesis of the University of Siena and the University of Nice Sophia Antipolis

More information

Consecutive Patterns: From Permutations to Column-ConvexAugust Polyominoes 10, 2010 and Back 1 / 36

Consecutive Patterns: From Permutations to Column-ConvexAugust Polyominoes 10, 2010 and Back 1 / 36 Consecutive Patterns: From Permutations to Column-Convex Polyominoes and Back Don Rawlings Mark Tiefenbruck California Polytechnic State University University of California San Luis Obispo, Ca. 93407 San

More information

Distribution of summands in generalized Zeckendorf decompositions

Distribution of summands in generalized Zeckendorf decompositions Distribution of summands in generalized Zeckendorf decompositions Amanda Bower (UM-Dearborn), Louis Gaudet (Yale University), Rachel Insoft (Wellesley College), Shiyu Li (Berkeley), Steven J. Miller and

More information

Juggling card sequences

Juggling card sequences Juggling card sequences Steve Butler Fan Chung Jay Cummings Ron Graham Abstract Juggling patterns can be described by a sequence of cards which keep track of the relative order of the balls at each step.

More information

Some Catalan Musings p. 1. Some Catalan Musings. Richard P. Stanley

Some Catalan Musings p. 1. Some Catalan Musings. Richard P. Stanley Some Catalan Musings p. 1 Some Catalan Musings Richard P. Stanley Some Catalan Musings p. 2 An OEIS entry A000108: 1,1,2,5,14,42,132,429,... Some Catalan Musings p. 2 An OEIS entry A000108: 1,1,2,5,14,42,132,429,...

More information

Enumeration Schemes for Words Avoiding Permutations

Enumeration Schemes for Words Avoiding Permutations Enumeration Schemes for Words Avoiding Permutations Lara Pudwell November 27, 2007 Abstract The enumeration of permutation classes has been accomplished with a variety of techniques. One wide-reaching

More information

Row-strict quasisymmetric Schur functions

Row-strict quasisymmetric Schur functions Row-strict quasisymmetric Schur functions Sarah Mason and Jeffrey Remmel Mathematics Subject Classification (010). 05E05. Keywords. quasisymmetric functions, Schur functions, omega transform. Abstract.

More information

The Littlewood-Richardson Rule

The Littlewood-Richardson Rule REPRESENTATIONS OF THE SYMMETRIC GROUP The Littlewood-Richardson Rule Aman Barot B.Sc.(Hons.) Mathematics and Computer Science, III Year April 20, 2014 Abstract We motivate and prove the Littlewood-Richardson

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

arxiv: v1 [math.co] 30 Mar 2010

arxiv: v1 [math.co] 30 Mar 2010 arxiv:1003.5939v1 [math.co] 30 Mar 2010 Generalized Fibonacci recurrences and the lex-least De Bruijn sequence Joshua Cooper April 1, 2010 Abstract Christine E. Heitsch The skew of a binary string is the

More information

Applications of Chromatic Polynomials Involving Stirling Numbers

Applications of Chromatic Polynomials Involving Stirling Numbers Applications of Chromatic Polynomials Involving Stirling Numbers A. Mohr and T.D. Porter Department of Mathematics Southern Illinois University Carbondale, IL 6290 tporter@math.siu.edu June 23, 2008 The

More information

Chapter 1: Systems of linear equations and matrices. Section 1.1: Introduction to systems of linear equations

Chapter 1: Systems of linear equations and matrices. Section 1.1: Introduction to systems of linear equations Chapter 1: Systems of linear equations and matrices Section 1.1: Introduction to systems of linear equations Definition: A linear equation in n variables can be expressed in the form a 1 x 1 + a 2 x 2

More information

Convex Domino Towers

Convex Domino Towers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 20 (2017, Article 17.3.1 Convex Domino Towers Tricia Muldoon Brown Department of Mathematics Armstrong State University 11935 Abercorn Street Savannah,

More information

CHAPTER 1. Relations. 1. Relations and Their Properties. Discussion

CHAPTER 1. Relations. 1. Relations and Their Properties. Discussion CHAPTER 1 Relations 1. Relations and Their Properties 1.1. Definition of a Relation. Definition 1.1.1. A binary relation from a set A to a set B is a subset R A B. If (a, b) R we say a is Related to b

More information

Automata on linear orderings

Automata on linear orderings Automata on linear orderings Véronique Bruyère Institut d Informatique Université de Mons-Hainaut Olivier Carton LIAFA Université Paris 7 September 25, 2006 Abstract We consider words indexed by linear

More information

SMITH NORMAL FORM OF A MULTIVARIATE MATRIX ASSOCIATED WITH PARTITIONS

SMITH NORMAL FORM OF A MULTIVARIATE MATRIX ASSOCIATED WITH PARTITIONS SMITH NORMAL FORM OF A MULTIVARIATE MATRIX ASSOCIATED WITH PARTITIONS CHRISTINE BESSENRODT AND RICHARD P. STANLEY Abstract. Consideration of a question of E. R. Berlekamp led Carlitz, Roselle, and Scoville

More information

COMBINATORIAL PROOFS OF GENERATING FUNCTION IDENTITIES FOR F-PARTITIONS

COMBINATORIAL PROOFS OF GENERATING FUNCTION IDENTITIES FOR F-PARTITIONS COMBINATORIAL PROOFS OF GENERATING FUNCTION IDENTITIES FOR F-PARTITIONS AE JA YEE 1 Abstract In his memoir in 1984 George E Andrews introduces many general classes of Frobenius partitions (simply F-partitions)

More information

A Combinatorial Interpretation of the Generalized Fibonacci Numbers

A Combinatorial Interpretation of the Generalized Fibonacci Numbers ADVANCES IN APPLIED MATHEMATICS 19, 306318 1997 ARTICLE NO. AM970531 A Combinatorial Interpretation of te Generalized Fibonacci Numbers Emanuele Munarini Dipartimento di Matematica, Politecnico di Milano,

More information

Review of linear algebra

Review of linear algebra Review of linear algebra 1 Vectors and matrices We will just touch very briefly on certain aspects of linear algebra, most of which should be familiar. Recall that we deal with vectors, i.e. elements of

More information

Leapfrog Constructions: From Continuant Polynomials to Permanents of Matrices

Leapfrog Constructions: From Continuant Polynomials to Permanents of Matrices Leapfrog Constructions: From Continuant Polynomials to Permanents of Matrices Alberto Facchini Dipartimento di Matematica Università di Padova Padova, Italy facchini@mathunipdit André Leroy Faculté Jean

More information

On certain combinatorial expansions of the Legendre-Stirling numbers

On certain combinatorial expansions of the Legendre-Stirling numbers On certain combinatorial expansions of the Legendre-Stirling numbers Shi-Mei Ma School of Mathematics and Statistics Northeastern University at Qinhuangdao Hebei, P.R. China shimeimapapers@163.com Yeong-Nan

More information

MATH c UNIVERSITY OF LEEDS Examination for the Module MATH2210 (May/June 2004) INTRODUCTION TO DISCRETE MATHEMATICS. Time allowed : 2 hours

MATH c UNIVERSITY OF LEEDS Examination for the Module MATH2210 (May/June 2004) INTRODUCTION TO DISCRETE MATHEMATICS. Time allowed : 2 hours This question paper consists of 5 printed pages, each of which is identified by the reference MATH221001 MATH221001 No calculators allowed c UNIVERSITY OF LEEDS Examination for the Module MATH2210 (May/June

More information

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes These notes form a brief summary of what has been covered during the lectures. All the definitions must be memorized and understood. Statements

More information

Combinatorics of non-associative binary operations

Combinatorics of non-associative binary operations Combinatorics of non-associative binary operations Jia Huang University of Nebraska at Kearney E-mail address: huangj2@unk.edu December 26, 2017 This is joint work with Nickolas Hein (Benedictine College),

More information

MATH 324 Summer 2011 Elementary Number Theory. Notes on Mathematical Induction. Recall the following axiom for the set of integers.

MATH 324 Summer 2011 Elementary Number Theory. Notes on Mathematical Induction. Recall the following axiom for the set of integers. MATH 4 Summer 011 Elementary Number Theory Notes on Mathematical Induction Principle of Mathematical Induction Recall the following axiom for the set of integers. Well-Ordering Axiom for the Integers If

More information

Symmetric functions and the Vandermonde matrix

Symmetric functions and the Vandermonde matrix J ournal of Computational and Applied Mathematics 172 (2004) 49-64 Symmetric functions and the Vandermonde matrix Halil Oruç, Hakan K. Akmaz Department of Mathematics, Dokuz Eylül University Fen Edebiyat

More information

MATH Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product.

MATH Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product. MATH 311-504 Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product. Determinant is a scalar assigned to each square matrix. Notation. The determinant of a matrix A = (a ij

More information

Show that the following problems are NP-complete

Show that the following problems are NP-complete Show that the following problems are NP-complete April 7, 2018 Below is a list of 30 exercises in which you are asked to prove that some problem is NP-complete. The goal is to better understand the theory

More information

Graph invariants in the spin model

Graph invariants in the spin model Graph invariants in the spin model Alexander Schrijver 1 Abstract. Given a symmetric n n matrix A, we define, for any graph G, f A (G) := a φ(u),φ(v). φ:v G {1,...,n} uv EG We characterize for which graph

More information

1 Determinants. 1.1 Determinant

1 Determinants. 1.1 Determinant 1 Determinants [SB], Chapter 9, p.188-196. [SB], Chapter 26, p.719-739. Bellow w ll study the central question: which additional conditions must satisfy a quadratic matrix A to be invertible, that is to

More information

Derangements with an additional restriction (and zigzags)

Derangements with an additional restriction (and zigzags) Derangements with an additional restriction (and zigzags) István Mező Nanjing University of Information Science and Technology 2017. 05. 27. This talk is about a class of generalized derangement numbers,

More information

The Gaussian coefficient revisited

The Gaussian coefficient revisited The Gaussian coefficient revisited Richard EHRENBORG and Margaret A. READDY Abstract We give new -(1+)-analogue of the Gaussian coefficient, also now as the -binomial which, lie the original -binomial

More information

MATH 304 Linear Algebra Lecture 20: Review for Test 1.

MATH 304 Linear Algebra Lecture 20: Review for Test 1. MATH 304 Linear Algebra Lecture 20: Review for Test 1. Topics for Test 1 Part I: Elementary linear algebra (Leon 1.1 1.4, 2.1 2.2) Systems of linear equations: elementary operations, Gaussian elimination,

More information

ACI-matrices all of whose completions have the same rank

ACI-matrices all of whose completions have the same rank ACI-matrices all of whose completions have the same rank Zejun Huang, Xingzhi Zhan Department of Mathematics East China Normal University Shanghai 200241, China Abstract We characterize the ACI-matrices

More information

A two dimensional non-overlapping code over a q-ary alphabet

A two dimensional non-overlapping code over a q-ary alphabet A two dimensional non-overlapping code over a q-ary alphabet Antonio Bernini Dipartimento di Matematica e Informatica, Università di Firenze Convegno GNCS 2018 - Montecatini Terme, 14 16 Febbraio 2018

More information

On the indecomposability of polynomials

On the indecomposability of polynomials On the indecomposability of polynomials Andrej Dujella, Ivica Gusić and Robert F. Tichy Abstract Applying a combinatorial lemma a new sufficient condition for the indecomposability of integer polynomials

More information

Section Summary. Sequences. Recurrence Relations. Summations. Examples: Geometric Progression, Arithmetic Progression. Example: Fibonacci Sequence

Section Summary. Sequences. Recurrence Relations. Summations. Examples: Geometric Progression, Arithmetic Progression. Example: Fibonacci Sequence Section 2.4 1 Section Summary Sequences. Examples: Geometric Progression, Arithmetic Progression Recurrence Relations Example: Fibonacci Sequence Summations 2 Introduction Sequences are ordered lists of

More information

Mathematics Course 111: Algebra I Part I: Algebraic Structures, Sets and Permutations

Mathematics Course 111: Algebra I Part I: Algebraic Structures, Sets and Permutations Mathematics Course 111: Algebra I Part I: Algebraic Structures, Sets and Permutations D. R. Wilkins Academic Year 1996-7 1 Number Systems and Matrix Algebra Integers The whole numbers 0, ±1, ±2, ±3, ±4,...

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