Generalized Near-Bell Numbers

Size: px
Start display at page:

Download "Generalized Near-Bell Numbers"

Transcription

1 Journal of Integer Sequences, Vol , Article Generalized Near-Bell Numbers Martin Griffiths Department of Mathematical Sciences University of Esse Wivenhoe Par Colchester CO4 3SQ United Kingdom griffm@esse.ac.u Abstract The nth near-bell number, as defined by Bec, enumerates all possible partitions of an n-multiset with multiplicities 1, 1, 1,...,1, 2. In this paper we study the sequences arising from a generalization of the near-bell numbers, and provide a method for obtaining both their eponential and their ordinary generating functions. We derive various interesting relationships amongst both the generating functions and the sequences, and then show how to etend these results to deal with more general multisets. 1 Introduction The nth Bell number B n enumerates all possible partitions of a set consisting of n labeled elements. For eample, the partitions of {1, 2, 3} are given by {{1, 2, 3}}, {{1, 2}, {3}}, {{1, 3}, {2}}, {{2, 3}, {1}}, and {{1}, {2}, {3}}, showing that B 3 5. Several other combinatorial interpretations of these numbers are given by Branson [2] and sequence A of Sloane s On-line Encyclopedia [6]. For the purposes of this article it might be helpful to eep in mind the interpretation of B n as the number of 1

2 ways n people can be assigned to n indistinguishable tables not all of which are necessarily occupied. A multiset generalizes the notion of a set in the sense that it may contain elements appearing more than once. Each distinct element of a multiset is thus assigned a multiplicity, giving the number of times it appears in the multiset. The formal definition that follows is given in [7]. Definition 1. A multiset is a pair A,m where A is some set and m is a function m : A N. The set A is called the set of underlying elements. For each a A the multiplicity of a is given by ma. A multiset is called an n-multiset if a A ma n for some n N. Note that the easiest way of representing an n-multiset is as a set with potentially repeated elements. For eample, {1, 2, 2, 2, 3, 4, 4} is a 7-multiset. The nth near-bell number is defined by Bec [1] as the number of partitions of an n- multiset with multiplicities 1, 1, 1,...,1, 2. We may, without loss of generality, consider the n-multiset given by {1, 1, 2, 3,...,n 1}, although, from a visual point of view at least, it might be more appealing to thin of the multiset as a group of n people including amongst them eactly one pair of identical twins. For this latter scenario, the nth near-bell number is the number of ways these n people can be assigned to n indistinguishable tables, assuming that we are unable to distinguish between the twins. We consider here a generalization of the near-bell numbers, enumerating all possible partitions of the n-multiset with multiplicities 1, 1, 1,..., 1, r for some r with 0 r n. A number of results concerning these generalized near-bell numbers are obtained. For the sae of completeness, some well-nown results are also stated. In the final section we show how to etend our results in order to cope with the enumeration of the partitions of more general multisets. 2 Preliminaries Definition 2. Let Mn,r denote, for 0 r n, the n-multiset {1, 1,...,1, 2, 3,...,n r 1}, where the element 1 appears with multiplicity r and the remaining n r elements each appear with multiplicity 1. Definition 3. We define B n,r to be the total number of partitions of Mn,r, where B 0,0 B 0,1 1 and B n,r 0 when r > n. These numbers shall be referred to as generalized near-bell numbers. In particular, both B n,0 and B n,1 give the Bell numbers, and B n,2 gives the near-bell numbers. Some alternative, though equivalent, interpretations of these numbers are as follows: 1. Consider a group of n people containing eactly one subgroup of identical r-tuplets. Then B n,r enumerates the ways these n people can be assigned to n indistinguishable tables assuming that we are unable to distinguish between the r-tuplets. 2. Let N p r 1p 2 p 3 p n r1, where p 1,p 2,p 3,...,p n r1 are distinct primes. Then, disregarding the order of the factors, B n,r gives the number of ways in which N can be epressed as a product of positive integers, all of which are at least 2. 2

3 3. A committee consists of n people, m of which have a specific role treasurer, secretary, and so on. The remaining n m members have no designated role. In this scenario Bn,n m enumerates the ways in which the committee can be arranged into unspecified woring parties, where the people in any particular woring party are distinguished only by their roles in the committee. The Bell numbers B n,1 satisfy the recurrence relation B n,1 n 1 n 1 B n,1, 1 as is shown by Branson [2] and Cameron [3]. The generalized near-bell numbers satisfy a similar relation. Theorem 4. For n r 1, B n,r n r 1 n r 1 B n 1,r B n 1,r 1. Proof. By definition, B n,r enumerates the partitions of Mn,r. We count first all those partitions of Mn,r for which the part containing the element n r 1 has no 1s. There are n r 1 ways of choosing elements from {2, 3,...,n r}. Thus the number of partitions for which the part containing n r 1 has 1 elements, none of which are 1s, is given by Bn 1,r. The total number of such partitions is therefore n r 1 n r 1 n r 1 B n 1,r. Net we enumerate all partitions of Mn,r for which the part containing n r1 has at least one 1. In order to do this the element n r 1 together with one of the 1s is regarded as a single inseparable unit. The enumeration in this case is then equivalent to finding the number of partitions of the multiset Mn,r\{1}, which is B n 1,r 1, thereby completing the proof of the theorem. It is clear also that B n,n pn, where pn is the unrestricted partition function with p0 1 by definition. Furthermore, B n1,n B n,n B n,n 1 n p. 1 To see this, note that the number of partitions of Mn1,n containing a part consisting of all the elements from M 1, is just pn. Summing over all possible values does indeed count all possible partitions of Mn 1,n. Thus B n1,n n pn 3 n p,

4 and hence n 1 B n,n B n,n 1 pn p n p B n1,n. The eample below gives an illustration of the combinatorial argument used to obtain 1. From this we see how the partitions of M5, 4 are enumerated systematically to give B 5, {{2}} :{{1, 1, 1, 1}}, {{1, 1, 1}, {1}}, {{1, 1}, {1, 1}}, {{1, 1}, {1}, {1}}, {{1}, {1}, {1}, {1}} {{1, 2}} :{{1, 1, 1}}, {{1, 1}, {1}}, {{1}, {1}, {1}} {{1, 1, 2}} :{{1, 1}}, {{1}, {1}}, {{1, 1, 1, 2}} :{{1}} {{1, 1, 1, 1, 2}} : 3 Eponential generating functions In this section we demonstrate a method for obtaining recursively the eponential generating functions for the generalized near-bell numbers. Some general results are then derived, and eamples of their use are given. Definition 5. A shifted eponential generating function, F m,r for B n,r is given by F m,r B nm,r n. n! Note that F 0,1 is the eponential generating function for the Bell numbers. The reason for using these shifted eponential generating functions is for the sae of mathematical epediency. It gives us a natural way of taing into account the fact B n,r 0 when n 2 and 0 n r 1. The net theorem enables F r,r to be calculated recursively. Theorem 6. For r 1, Proof. Using Theorem 4 we have F r,r n1 n1 F r,r e F r,r F r 1,r 1. B nr,r n 1! n 1 n 1 n 1! n 1 n1! n 1 n 1 B n r 1,r B nr 1,r 1 B n r 1,r n 1! n 1 4 n1 B nr 1,r 1 n 1. n 1!

5 Then, with m n 1, it follows that F r,r n 1 n1 m0 n m 1 n m 1! e F r,r F r 1,r 1. on rearranging the double sum. B mr,r m m! As an eample, we calculate here F 3,3. The result n1 F 0,0 F 0,1 e e 1 is well-nown, and a proof is provided by Cameron [3]. The formula 1 F 2,2 ee e B n 1r 11,r 1 n 1 n 1! appears in [1] and is straightforward to obtain via Theorem 6. Using Theorem 6 once more gives F 3,3 e F 3,3 F 2,2, leading to the first order linear differential equation F 3,3 e 1 F 3,3 ee e 3 4e 2 3e. 2 On finding and utilizing an integrating factor for this differential equation see [5], for eample, we obtain the general solution 1 F 3,3 ee e 3 6e 2 9e ce e. 6 The arbitrary constant c is found to be equal to 1 3e, on noting that F 3,30 B 3,3 3. Thus 1 F 3,3 ee e 2 e 2 4e 1. 6 On epanding this as a power series we obtain F 3, ! 7 1! 21 2! ! ! 4..., from which it can be seen that B 3,3 3, B 4,3 7, B 5,3 21, B 6,3 74 and B 7, It is in fact clear in general that 1 F r,r ee e r a r 1 e r 1 a r 2 e r 2... a 0 r! for some a 0,a 1,...,a r 1 N. 2 5

6 Dobińsi s formula see [8], for eample allows us to epress the Bell numbers in terms of infinite series, as follows: B n 1 n e n!. We can use the shifted eponential generating functions to obtain Dobińsi-type formulae for the generalized near-bell numbers. For eample, 1 F 3,3 ee e 3 6e 2 9e e m3 6e m2 9e m1 2e m 6e m! m0 1 m 3 n 6m 2 n 9m 1 n 2m n 6e m! from which it follows that B n3,3 1 6e m0 m 3 n 6m 2 n 9m 1 n 2m n. m! m0 We now show that, for any fied r, B n,r can be epressed as a linear combination of the Bell numbers. Theorem 7. For any n,r N with n r there eist c n r,c n r1,...,c n 1 Z such that B n,r 1 n! B n,1 c n 1 B n 1,1... c n r B n r,1. Proof. It is easy to show by induction that the th derivative with respect to of F 0,1, denoted by F 0,1, is of the form F 0,1 e e 1 e b 1 e 1 b 2 e 2... b 0 for some integers b 0,b 1,...,b 1. On using 2 it then follows that there eist integers c n r,c n r1,...,c n 1 such that F r,r 1 F r 0,1 c r 1 F r 1 0,1... c 0 F 0,1. r! Since F 0,1 is the eponential generating function for B n,1, the result follows, on comparing coefficients of. Thus, for eample, B n,2 1 2 B n,1 B n 1,1 B n 2,1, B n,3 1 6 B n,1 3B n 1,1 5B n 2,1 2B n 3,1 and B n, B n,1 6B n 1,1 17B n 2,1 20B n 3,1 21B n 4,1. n n!, 6

7 4 Ordinary generating functions We obtain here relations amongst the ordinary generating functions for the Bell and near- Bell numbers. These are used subsequently to derive a recurrence relation for the near-bell numbers. We indicate how these calculations may be taen further, allowing us to epress B n,r in terms of B,r, r,r 1,...,n 1. An eplicit form for the ordinary generating function for the near-bell numbers is also obtained. Definition 8. A shifted ordinary generating function, F m,r for B n,r is given by F m,r B nm,r n. Klazar [4] shows that F 0,1, the ordinary generating function for the Bell numbers, satisfies F 0,1 1 1 F 0, In Theorem 9 we obtain a result lining the ordinary generating functions for the Bell and near-bell numbers. This is in turn used to derive a relation satisfied by the ordinary generating function for the near-bell numbers, as given in Theorem 9. Theorem 9. F 2, F 0,1 Proof. Using Theorem 4 we obtain F 2,2 B 2,2 B n2,2 n Then, on using 3, we have F 2,2 B 2,2 n1 n F 2,2 1. n 1 B n 1,2 B n1,1 n n1 n 1 n 1 B n 1,2 n B n1,1 n n1 n1 n B 2,2 n1 B n1,1 n B 1,1 n 1 B 2,2 1 B n,1 n B 0, F 2, F 0,1 1 1 F 0, F 1 2, F 2,2 7 1 F 0,1 1, 1 1 1

8 as required. Theorem 10. 2F 2, F 2,2 Proof. We use Theorem 9 to give and then replace each with 1 1 F 2, F 0,1 1 F 2,2 1 1 F 2,2 1, to give F 0,1 1 1 Once more, the result follows from 3. Corollary 11. For n 3, n 1 n 1 B n2,2 B n1,2 1 2 n 3 { n 2 n 3 1 F 2,2 1 1 F 2,2. B n,2 } n 1 1 n B 2,2 2B 2,2. 1 Proof. Epanding as a formal power series, we have F 2 1 n 2,2 1 B n2,2 1 1 n B n2,2 n, where use has been made of the result n 1 n n 1. Also, n 1 F 2,2 1 B n2,2 n The result follows on equating coefficients of n on both sides of the statement of Theorem 10. The method used above to obtain a recurrence relation for the near-bell numbers can be etended to derive recurrence relations for the generalized near-bell numbers. Following the method of proof of Theorem 9 we have, for r 3, n 1 n 1 F r,r B r,r B nr 1,r B nr 1,r 1 n n1 B r,r 1 F r,r n n n1 B nr 1,r 1 n B r 1,r 1 1 F r 1,r 1 B r 1,r 1. 8

9 Thus, for eample, F 2,2 F 3,3 1 F 3,3 1 B3,3 B 2,2 Theorem 10 can now be utilized to give a relation between F 3,3, F 3,3 1, F 3,3 1 2 and F 3,3 1, and so on. Finally, it is well-nown that the ordinary generating function for the Bell numbers is given by F 0, , where, for 0, the epression under the sum is defined to be 1. The following theorem gives the ordinary generating function for the near-bell numbers. Theorem 12. F 2,2 1 m0 1 1 m Proof. We merely outline the proof here, using 3 and Theorem 9 recursively. To this end, F 0, F 0,1 1 2 and F 1 2, F 0, F 2, Then, from Theorem 9 it follows that F 2, { F 0, F 2, F 0,1 1 1 } 1 { { F 2,2 } F 1 2 0, }, 4 where the curly bracets have been used to emphasize the way in which the terms may be grouped to give, in the limit, the statement of the theorem. Continuing in this way with F 0, F 0,

10 and F 1 2, F 0, F 2,2 1 1, 6 we obtain ever more lengthy epressions for F 2,2. For eample, on setting 2 in 5 and 6 we find, using 4, that { 1 F 2,2 1 1 } 1 { } { } 1 2 F 1 3 0, { F 2,2 1 3 }, and so on. 5 More general multisets Definition 13. The n-multiset {1,...,1, 2,...,2, 3,...,n r s2}, in which the elements 1 and 2 appear with multiplicities r and s respectively, and the remaining n r s elements each appear with multiplicity 1, is denoted by Mn,r,s. Definition 14. We define B n,r,s to be the total number of partitions of Mn,r,s, where B n,r,s 0 when r s > n. Theorem 15. For n r s 1, B n,r,s n r s 1 n r s 1 B n 1,r,s B n 1,r 1,s B n 1,r,s 1 B n 2,r 1,s 1. Proof. First count all partitions of Mn,r,s for which the part containing the element n r s 2 has neither 1s nor 2s. The total number of such partitions is n r s 1 n r s 1 B n 1,r,s. Net, B n 1,r 1,s and B n 1,r,s 1 enumerate the partitions of Mn,r,s for which the part containing n r s 2 has at least one 1 and at least one 2 respectively. We then need to subtract B n 2,r 1,s 1 from the total in order to avoid double counting the partitions for which the part containing n r s 2 also contains at least one 1 and one 2. 10

11 Definition 16. A shifted eponential generating function, F m,r,s for B n,r,s is given by F m,r,s B nm,r,s n. n! Following the method of Theorem 6, we can use Theorem 15 to show that, for r,s 1, F rs,r,s e F rs,r,s F rs 1,r 1,s F rs 1,r,s 1 F rs 2,r 1,s 1. Using this result recursively allows us to obtain the eponential generating function for B n,r,s. For eample, on noting that B 4,2,2 9, some calculation leads to 1 F 4,2,2 ee e 4 8e 3 16e 2 8e 3, 4 giving B 5,2,2 26, B 6,2,2 92, B 7,2,2 371, and so on. It is also worth noting that B n,2,2 1 4 B n,1 2B n 1,1 3B n 2,1 2B n 3,1 3B n 4,1. Definitions 13 and 14 may be etended to cater for more general multisets. The scope of Theorem 15 can be broadened accordingly, allowing us to obtain the required eponential generating functions recursively. This etension to Theorem 15 requires careful application of the principle of inclusion and eclusion see [3]. 6 Tables References n B n,1 B n,2 B n,3 B n,4 B n,5 B n,6 B n,7 B n, Table 1: Bell, near-bell and generalized near-bell numbers. [1] G. Bec, Sequence A in N. J. A. Sloane, The On-Line Encyclopedia of Integer Sequences 2009, 11

12 [2] D. Branson, Stirling numbers and Bell numbers: their role in combinatorics and probability, Math. Sci , [3] P. J. Cameron, Combinatorics: Topics, Techniques, Algorithms, Cambridge University Press, [4] M. Klazar, Bell numbers, their relatives, and algebraic differential equations, J. Combin. Theory, Ser. A , [5] H. Neill and D. Quadling, Further Pure 2 & 3, Cambridge University Press, [6] N. J. A. Sloane, The On-Line Encyclopedia of Integer Sequences, [7] Multiset, entry in Wiipedia, [8] E. W. Weisstein, Dobińsi s formula, MathWorld A Wolfram Web Resource, Mathematics Subject Classification: Primary 05A15; Secondary 05A18, 11B73, 11B37. Keywords: Bell numbers, near-bell numbers, eponential generating functions, ordinary generating functions, multisets, partitions, recurrence relations. Concerned with sequences A and A Received April ; revised version received July Published in Journal of Integer Sequences, July Return to Journal of Integer Sequences home page. 12

MATH39001 Generating functions. 1 Ordinary power series generating functions

MATH39001 Generating functions. 1 Ordinary power series generating functions MATH3900 Generating functions The reference for this part of the course is generatingfunctionology by Herbert Wilf. The 2nd edition is downloadable free from http://www.math.upenn. edu/~wilf/downldgf.html,

More information

#A6 INTEGERS 17 (2017) AN IMPLICIT ZECKENDORF REPRESENTATION

#A6 INTEGERS 17 (2017) AN IMPLICIT ZECKENDORF REPRESENTATION #A6 INTEGERS 17 (017) AN IMPLICIT ZECKENDORF REPRESENTATION Martin Gri ths Dept. of Mathematical Sciences, University of Essex, Colchester, United Kingdom griffm@essex.ac.uk Received: /19/16, Accepted:

More information

1 Basic Combinatorics

1 Basic Combinatorics 1 Basic Combinatorics 1.1 Sets and sequences Sets. A set is an unordered collection of distinct objects. The objects are called elements of the set. We use braces to denote a set, for example, the set

More information

Several Generating Functions for Second-Order Recurrence Sequences

Several Generating Functions for Second-Order Recurrence Sequences 47 6 Journal of Integer Sequences, Vol. 009), Article 09..7 Several Generating Functions for Second-Order Recurrence Sequences István Mező Institute of Mathematics University of Debrecen Hungary imezo@math.lte.hu

More information

2 Generating Functions

2 Generating Functions 2 Generating Functions In this part of the course, we re going to introduce algebraic methods for counting and proving combinatorial identities. This is often greatly advantageous over the method of finding

More information

FIBONACCI EXPRESSIONS ARISING FROM A COIN-TOSSING SCENARIO INVOLVING PAIRS OF CONSECUTIVE HEADS

FIBONACCI EXPRESSIONS ARISING FROM A COIN-TOSSING SCENARIO INVOLVING PAIRS OF CONSECUTIVE HEADS FIBONACCI EXPRESSIONS ARISING FROM A COIN-TOSSING SCENARIO INVOLVING PAIRS OF CONSECUTIVE HEADS MARTIN GRIFFITHS Abstract. In this article we study a combinatorial scenario which generalizes the wellknown

More information

Discrete Mathematics. Kishore Kothapalli

Discrete Mathematics. Kishore Kothapalli Discrete Mathematics Kishore Kothapalli 2 Chapter 4 Advanced Counting Techniques In the previous chapter we studied various techniques for counting and enumeration. However, there are several interesting

More information

0.1. Linear transformations

0.1. Linear transformations Suggestions for midterm review #3 The repetitoria are usually not complete; I am merely bringing up the points that many people didn t now on the recitations Linear transformations The following mostly

More information

A solution to the tennis ball problem

A solution to the tennis ball problem A solution to the tennis ball problem Anna de Mier Marc Noy Universitat Politècnica de Catalunya Abstract We present a complete solution to the so-called tennis ball problem, which is equivalent to counting

More information

Section 7.2: One-to-One, Onto and Inverse Functions

Section 7.2: One-to-One, Onto and Inverse Functions Section 7.2: One-to-One, Onto and Inverse Functions In this section we shall developed the elementary notions of one-to-one, onto and inverse functions, similar to that developed in a basic algebra course.

More information

#A29 INTEGERS 11 (2011) THE (EXPONENTIAL) BIPARTITIONAL POLYNOMIALS AND POLYNOMIAL SEQUENCES OF TRINOMIAL TYPE: PART II

#A29 INTEGERS 11 (2011) THE (EXPONENTIAL) BIPARTITIONAL POLYNOMIALS AND POLYNOMIAL SEQUENCES OF TRINOMIAL TYPE: PART II #A29 INTEGERS 11 (2011) THE (EXPONENTIAL) BIPARTITIONAL POLYNOMIALS AND POLYNOMIAL SEQUENCES OF TRINOMIAL TYPE: PART II Hacène Belbachir 1 USTHB, Faculty of Mathematics, El Alia, Bab Ezzouar, Algeria hbelbachir@usthb.dz

More information

Basic counting techniques. Periklis A. Papakonstantinou Rutgers Business School

Basic counting techniques. Periklis A. Papakonstantinou Rutgers Business School Basic counting techniques Periklis A. Papakonstantinou Rutgers Business School i LECTURE NOTES IN Elementary counting methods Periklis A. Papakonstantinou MSIS, Rutgers Business School ALL RIGHTS RESERVED

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

A LINEAR BINOMIAL RECURRENCE AND THE BELL NUMBERS AND POLYNOMIALS

A LINEAR BINOMIAL RECURRENCE AND THE BELL NUMBERS AND POLYNOMIALS Applicable Analysis and Discrete Mathematics, 1 (27, 371 385. Available electronically at http://pefmath.etf.bg.ac.yu A LINEAR BINOMIAL RECURRENCE AND THE BELL NUMBERS AND POLYNOMIALS H. W. Gould, Jocelyn

More information

Excluded permutation matrices and the Stanley Wilf conjecture

Excluded permutation matrices and the Stanley Wilf conjecture Excluded permutation matrices and the Stanley Wilf conjecture Adam Marcus Gábor Tardos November 2003 Abstract This paper examines the extremal problem of how many 1-entries an n n 0 1 matrix can have that

More information

THE NUMBER OF INDEPENDENT DOMINATING SETS OF LABELED TREES. Changwoo Lee. 1. Introduction

THE NUMBER OF INDEPENDENT DOMINATING SETS OF LABELED TREES. Changwoo Lee. 1. Introduction Commun. Korean Math. Soc. 18 (2003), No. 1, pp. 181 192 THE NUMBER OF INDEPENDENT DOMINATING SETS OF LABELED TREES Changwoo Lee Abstract. We count the numbers of independent dominating sets of rooted labeled

More information

Counting Peaks and Valleys in a Partition of a Set

Counting Peaks and Valleys in a Partition of a Set 1 47 6 11 Journal of Integer Sequences Vol. 1 010 Article 10.6.8 Counting Peas and Valleys in a Partition of a Set Toufi Mansour Department of Mathematics University of Haifa 1905 Haifa Israel toufi@math.haifa.ac.il

More information

On the Sum of Corresponding Factorials and Triangular Numbers: Some Preliminary Results

On the Sum of Corresponding Factorials and Triangular Numbers: Some Preliminary Results Asia Pacific Journal of Multidisciplinary Research, Vol 3, No 4, November 05 Part I On the Sum of Corresponding Factorials and Triangular Numbers: Some Preliminary Results Romer C Castillo, MSc Batangas

More information

Generalized Akiyama-Tanigawa Algorithm for Hypersums of Powers of Integers

Generalized Akiyama-Tanigawa Algorithm for Hypersums of Powers of Integers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol 16 (2013, Article 1332 Generalized Aiyama-Tanigawa Algorithm for Hypersums of Powers of Integers José Luis Cereceda Distrito Telefónica, Edificio Este

More information

C-COLOR COMPOSITIONS AND PALINDROMES

C-COLOR COMPOSITIONS AND PALINDROMES CAROLINE SHAPCOTT Abstract. An unepected relationship is demonstrated between n-color compositions compositions for which a part of size n can take on n colors) and part-products of ordinary compositions.

More information

Pre-Algebra 8 Notes Exponents and Scientific Notation

Pre-Algebra 8 Notes Exponents and Scientific Notation Pre-Algebra 8 Notes Eponents and Scientific Notation Rules of Eponents CCSS 8.EE.A.: Know and apply the properties of integer eponents to generate equivalent numerical epressions. Review with students

More information

Ternary Modified Collatz Sequences And Jacobsthal Numbers

Ternary Modified Collatz Sequences And Jacobsthal Numbers 1 47 6 11 Journal of Integer Sequences, Vol. 19 (016), Article 16.7.5 Ternary Modified Collatz Sequences And Jacobsthal Numbers Ji Young Choi Department of Mathematics Shippensburg University of Pennsylvania

More information

Some Congruences for the Partial Bell Polynomials

Some Congruences for the Partial Bell Polynomials 3 47 6 3 Journal of Integer Seuences, Vol. 009), Article 09.4. Some Congruences for the Partial Bell Polynomials Miloud Mihoubi University of Science and Technology Houari Boumediene Faculty of Mathematics

More information

Combinatorics. But there are some standard techniques. That s what we ll be studying.

Combinatorics. But there are some standard techniques. That s what we ll be studying. Combinatorics Problem: How to count without counting. How do you figure out how many things there are with a certain property without actually enumerating all of them. Sometimes this requires a lot of

More information

Basic Combinatorics. Math 40210, Section 01 Fall Homework 8 Solutions

Basic Combinatorics. Math 40210, Section 01 Fall Homework 8 Solutions Basic Combinatorics Math 4010, Section 01 Fall 01 Homework 8 Solutions 1.8.1 1: K n has ( n edges, each one of which can be given one of two colors; so Kn has (n -edge-colorings. 1.8.1 3: Let χ : E(K k

More information

Counting Palindromic Binary Strings Without r-runs of Ones

Counting Palindromic Binary Strings Without r-runs of Ones 1 3 47 6 3 11 Journal of Integer Sequences, Vol. 16 (013), Article 13.8.7 Counting Palindromic Binary Strings Without r-runs of Ones M. A. Nyblom School of Mathematics and Geospatial Science RMIT University

More information

A Combinatorial Approach to Finding Dirichlet Generating Function Identities

A Combinatorial Approach to Finding Dirichlet Generating Function Identities The Waterloo Mathematics Review 3 A Combinatorial Approach to Finding Dirichlet Generating Function Identities Alesandar Vlasev Simon Fraser University azv@sfu.ca Abstract: This paper explores an integer

More information

Rook Polynomials In Higher Dimensions

Rook Polynomials In Higher Dimensions Grand Valley State University ScholarWors@GVSU Student Summer Scholars Undergraduate Research and Creative Practice 2009 Roo Polynomials In Higher Dimensions Nicholas Krzywonos Grand Valley State University

More information

An Exploration of the Arithmetic Derivative

An Exploration of the Arithmetic Derivative An Eploration of the Arithmetic Derivative Alaina Sandhu Final Research Report: Summer 006 Under Supervision of: Dr. McCallum, Ben Levitt, Cameron McLeman 1 Introduction The arithmetic derivative is a

More information

(n = 0, 1, 2,... ). (2)

(n = 0, 1, 2,... ). (2) Bull. Austral. Math. Soc. 84(2011), no. 1, 153 158. ON A CURIOUS PROPERTY OF BELL NUMBERS Zhi-Wei Sun and Don Zagier Abstract. In this paper we derive congruences expressing Bell numbers and derangement

More information

Digit Reversal Without Apology

Digit Reversal Without Apology Digit Reversal Without Apology Lara Pudwell Rutgers University Piscataway, NJ 08854 lpudwell@math.rutgers.edu In A Mathematician s Apology [1] G. H. Hardy states, 8712 and 9801 are the only four-figure

More information

PARTITIONS WITH FIXED DIFFERENCES BETWEEN LARGEST AND SMALLEST PARTS

PARTITIONS WITH FIXED DIFFERENCES BETWEEN LARGEST AND SMALLEST PARTS PARTITIONS WITH FIXED DIFFERENCES BETWEEN LARGEST AND SMALLEST PARTS GEORGE E. ANDREWS, MATTHIAS BECK, AND NEVILLE ROBBINS Abstract. We study the number p(n, t) of partitions of n with difference t between

More information

Keywords Möbius ladder, counting, cubic graph, extremal, sequence.

Keywords Möbius ladder, counting, cubic graph, extremal, sequence. COUNTING STRUCTURES IN THE MÖBIUS LADDER John P. McSorley Department of Mathematical Sciences, Michigan Technological University, 1400 Townsend Dr., Houghton, MI 49931-195. Keywords Möbius ladder, counting,

More information

The Greatest Common Divisor of k Positive Integers

The Greatest Common Divisor of k Positive Integers International Mathematical Forum, Vol. 3, 208, no. 5, 25-223 HIKARI Ltd, www.m-hiari.com https://doi.org/0.2988/imf.208.822 The Greatest Common Divisor of Positive Integers Rafael Jaimczu División Matemática,

More information

Hilbert s theorem 90, Dirichlet s unit theorem and Diophantine equations

Hilbert s theorem 90, Dirichlet s unit theorem and Diophantine equations Hilbert s theorem 90, Dirichlet s unit theorem and Diophantine equations B. Sury Stat-Math Unit Indian Statistical Institute 8th Mile Mysore Road Bangalore - 560 059 India. sury@isibang.ac.in Introduction

More information

COMPOSITIONS WITH A FIXED NUMBER OF INVERSIONS

COMPOSITIONS WITH A FIXED NUMBER OF INVERSIONS COMPOSITIONS WITH A FIXED NUMBER OF INVERSIONS A. KNOPFMACHER, M. E. MAYS, AND S. WAGNER Abstract. A composition of the positive integer n is a representation of n as an ordered sum of positive integers

More information

Citation Osaka Journal of Mathematics. 43(2)

Citation Osaka Journal of Mathematics. 43(2) TitleIrreducible representations of the Author(s) Kosuda, Masashi Citation Osaka Journal of Mathematics. 43(2) Issue 2006-06 Date Text Version publisher URL http://hdl.handle.net/094/0396 DOI Rights Osaka

More information

MONOMIALITY, ORTHOGONAL AND PSEUDO-ORTHOGONAL POLYNOMIALS

MONOMIALITY, ORTHOGONAL AND PSEUDO-ORTHOGONAL POLYNOMIALS International Mathematical Forum, 1, 006, no. 13, 603-616 MONOMIALITY, ORTHOGONAL AND PSEUDO-ORTHOGONAL POLYNOMIALS G. Dattoli Unità Tecnico Scientifica Tecnologie Fisiche Avanzate ENEA Centro Ricerche

More information

9.6 r-combinations with Repetition Allowed

9.6 r-combinations with Repetition Allowed 584 Chapter 9 Counting and Probability Exercises 32 38 refer to the sequence of Stirling numbers of the second kind. 32. Find S 3,4 by exhibiting all the partitions of {x 1, x 2, x 3, x 4, x 5 } into four

More information

MATH 802: ENUMERATIVE COMBINATORICS ASSIGNMENT 2

MATH 802: ENUMERATIVE COMBINATORICS ASSIGNMENT 2 MATH 80: ENUMERATIVE COMBINATORICS ASSIGNMENT KANNAPPAN SAMPATH Facts Recall that, the Stirling number S(, n of the second ind is defined as the number of partitions of a [] into n non-empty blocs. We

More information

Generalization of a few results in integer partitions

Generalization of a few results in integer partitions Notes on Number Theory and Discrete Mathematics Vol. 9, 203, No. 2, 69 76 Generalization of a few results in integer partitions Manosij Ghosh Dastidar and Sourav Sen Gupta 2, Ramakrishna Mission Vidyamandira,

More information

HIGHER-ORDER DIFFERENCES AND HIGHER-ORDER PARTIAL SUMS OF EULER S PARTITION FUNCTION

HIGHER-ORDER DIFFERENCES AND HIGHER-ORDER PARTIAL SUMS OF EULER S PARTITION FUNCTION ISSN 2066-6594 Ann Acad Rom Sci Ser Math Appl Vol 10, No 1/2018 HIGHER-ORDER DIFFERENCES AND HIGHER-ORDER PARTIAL SUMS OF EULER S PARTITION FUNCTION Mircea Merca Dedicated to Professor Mihail Megan on

More information

What you learned in Math 28. Rosa C. Orellana

What you learned in Math 28. Rosa C. Orellana What you learned in Math 28 Rosa C. Orellana Chapter 1 - Basic Counting Techniques Sum Principle If we have a partition of a finite set S, then the size of S is the sum of the sizes of the blocks of the

More information

Transformations Preserving the Hankel Transform

Transformations Preserving the Hankel Transform 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol 10 (2007), Article 0773 Transformations Preserving the Hankel Transform Christopher French Department of Mathematics and Statistics Grinnell College Grinnell,

More information

Theoretical Computer Science

Theoretical Computer Science Theoretical Computer Science 411 (2010) 3224 3234 Contents lists available at ScienceDirect Theoretical Computer Science journal homepage: www.elsevier.com/locate/tcs N-player partizan games Alessandro

More information

RAMSEY THEORY. Contents 1. Introduction Arithmetic Ramsey s Theorem

RAMSEY THEORY. Contents 1. Introduction Arithmetic Ramsey s Theorem RAMSEY THEORY CAN LIU Abstract. We give a proof to arithmetic Ramsey s Theorem. In addition, we show the proofs for Schur s Theorem, the Hales-Jewett Theorem, Van der Waerden s Theorem and Rado s Theorem,

More information

A summary of factoring methods

A summary of factoring methods Roberto s Notes on Prerequisites for Calculus Chapter 1: Algebra Section 1 A summary of factoring methods What you need to know already: Basic algebra notation and facts. What you can learn here: What

More information

EECS 1028 M: Discrete Mathematics for Engineers

EECS 1028 M: Discrete Mathematics for Engineers EECS 1028 M: Discrete Mathematics for Engineers Suprakash Datta Office: LAS 3043 Course page: http://www.eecs.yorku.ca/course/1028 Also on Moodle S. Datta (York Univ.) EECS 1028 W 18 1 / 16 Sequences and

More information

Radical Expressions and Functions What is a square root of 25? How many square roots does 25 have? Do the following square roots exist?

Radical Expressions and Functions What is a square root of 25? How many square roots does 25 have? Do the following square roots exist? Topic 4 1 Radical Epressions and Functions What is a square root of 25? How many square roots does 25 have? Do the following square roots eist? 4 4 Definition: X is a square root of a if X² = a. 0 Symbolically,

More information

Euler-Maclaurin summation formula

Euler-Maclaurin summation formula Physics 4 Spring 6 Euler-Maclaurin summation formula Lecture notes by M. G. Rozman Last modified: March 9, 6 Euler-Maclaurin summation formula gives an estimation of the sum N in f i) in terms of the integral

More information

On the Convergence of the Summation Formulas Constructed by Using a Symbolic Operator Approach

On the Convergence of the Summation Formulas Constructed by Using a Symbolic Operator Approach On the Convergence of the Summation Formulas Constructed by Using a Symbolic Operator Approach Tian-Xiao He 1, Leetsch C. Hsu 2, and Peter J.-S. Shiue 3 1 Department of Mathematics and Computer Science

More information

COFINITE INDUCED SUBGRAPHS OF IMPARTIAL COMBINATORIAL GAMES: AN ANALYSIS OF CIS-NIM

COFINITE INDUCED SUBGRAPHS OF IMPARTIAL COMBINATORIAL GAMES: AN ANALYSIS OF CIS-NIM #G INTEGERS 13 (013) COFINITE INDUCED SUBGRAPHS OF IMPARTIAL COMBINATORIAL GAMES: AN ANALYSIS OF CIS-NIM Scott M. Garrabrant 1 Pitzer College, Claremont, California coscott@math.ucla.edu Eric J. Friedman

More information

THE LOG-BEHAVIOR OF THE SEQUENCE FOR THE PARTIAL SUM OF A LOG-CONVEX SEQUENCE. 1. Introduction

THE LOG-BEHAVIOR OF THE SEQUENCE FOR THE PARTIAL SUM OF A LOG-CONVEX SEQUENCE. 1. Introduction SARAJEVO JOURNAL OF MATHEMATICS Vol.13 (26), No.2, (2017), 163 178 DOI: 10.5644/SJM.13.2.04 THE LOG-BEHAVIOR OF THE SEQUENCE FOR THE PARTIAL SUM OF A LOG-CONVEX SEQUENCE FENG-ZHEN ZHAO Abstract. In this

More information

On the Structure of Primes Simon Mark Horvat

On the Structure of Primes Simon Mark Horvat On the Structure of Primes Simon Mark Horvat This paper explains the structure of Prime numbers and shows that they are not random. Discussion On pages 322 through 324 of Prime Obssesion, [Derbyshire,

More information

Upper Bounds for Partitions into k-th Powers Elementary Methods

Upper Bounds for Partitions into k-th Powers Elementary Methods Int. J. Contemp. Math. Sciences, Vol. 4, 2009, no. 9, 433-438 Upper Bounds for Partitions into -th Powers Elementary Methods Rafael Jaimczu División Matemática, Universidad Nacional de Luján Buenos Aires,

More information

Journal of Integer Sequences, Vol. 3 (2000), Article Magic Carpets

Journal of Integer Sequences, Vol. 3 (2000), Article Magic Carpets Journal of Integer Sequences, Vol. 3 (2000), Article 00.2.5 Magic Carpets Erich Friedman Stetson University Deland, FL 32720 Mike Keith 4100 Vitae Springs Road Salem, OR 97306 Email addresses: efriedma@stetson.edu

More information

Finite Automata. Mahesh Viswanathan

Finite Automata. Mahesh Viswanathan Finite Automata Mahesh Viswanathan In this lecture, we will consider different models of finite state machines and study their relative power. These notes assume that the reader is familiar with DFAs,

More information

Combinatorial Interpretations of a Generalization of the Genocchi Numbers

Combinatorial Interpretations of a Generalization of the Genocchi Numbers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 7 (2004), Article 04.3.6 Combinatorial Interpretations of a Generalization of the Genocchi Numbers Michael Domaratzki Jodrey School of Computer Science

More information

CDM Combinatorial Principles

CDM Combinatorial Principles CDM Combinatorial Principles 1 Counting Klaus Sutner Carnegie Mellon University Pigeon Hole 22-in-exclusion 2017/12/15 23:16 Inclusion/Exclusion Counting 3 Aside: Ranking and Unranking 4 Counting is arguably

More information

FINITE ABELIAN GROUPS Amin Witno

FINITE ABELIAN GROUPS Amin Witno WON Series in Discrete Mathematics and Modern Algebra Volume 7 FINITE ABELIAN GROUPS Amin Witno Abstract We detail the proof of the fundamental theorem of finite abelian groups, which states that every

More information

A Combinatorial Interpretation of the Numbers 6 (2n)! /n! (n + 2)!

A Combinatorial Interpretation of the Numbers 6 (2n)! /n! (n + 2)! 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 8 (2005), Article 05.2.3 A Combinatorial Interpretation of the Numbers 6 (2n)! /n! (n + 2)! Ira M. Gessel 1 and Guoce Xin Department of Mathematics Brandeis

More information

Lengyel's Constant Page 1 of 5

Lengyel's Constant Page 1 of 5 Lengyel's Constant Page 1 of 5 Lengyel's Constant Set Partitions and Bell Numbers Let S be a set with n elements. The set of all subsets of S has elements. By a partition of S we mean a disjoint set of

More information

Appèl Polynomial Series Expansions

Appèl Polynomial Series Expansions International Mathematical Forum, 5, 2010, no. 14, 649-662 Appèl Polynomial Series Epansions G. Dattoli ENEA UTS Fisiche Avanzate Centro Ricerche Frascati C.P. 67-00044 Frascati, Rome, Italy Dattoli@frascati.enea.it

More information

Core Connections Algebra 2 Checkpoint Materials

Core Connections Algebra 2 Checkpoint Materials Core Connections Algebra 2 Note to Students (and their Teachers) Students master different skills at different speeds. No two students learn eactly the same way at the same time. At some point you will

More information

Latin squares: Equivalents and equivalence

Latin squares: Equivalents and equivalence Latin squares: Equivalents and equivalence 1 Introduction This essay describes some mathematical structures equivalent to Latin squares and some notions of equivalence of such structures. According to

More information

Section I.6. Symmetric, Alternating, and Dihedral Groups

Section I.6. Symmetric, Alternating, and Dihedral Groups I.6. Symmetric, alternating, and Dihedral Groups 1 Section I.6. Symmetric, Alternating, and Dihedral Groups Note. In this section, we conclude our survey of the group theoretic topics which are covered

More information

1 Introduction 1. 5 Rooted Partitions and Euler s Theorem Vocabulary of Rooted Partitions Rooted Partition Theorems...

1 Introduction 1. 5 Rooted Partitions and Euler s Theorem Vocabulary of Rooted Partitions Rooted Partition Theorems... Contents 1 Introduction 1 Terminology of Partitions 1.1 Simple Terms.......................................... 1. Rank and Conjugate...................................... 1.3 Young Diagrams.........................................4

More information

Basic methods to solve equations

Basic methods to solve equations Roberto s Notes on Prerequisites for Calculus Chapter 1: Algebra Section 1 Basic methods to solve equations What you need to know already: How to factor an algebraic epression. What you can learn here:

More information

On the Density of Languages Representing Finite Set Partitions 1

On the Density of Languages Representing Finite Set Partitions 1 2 3 47 6 23 Journal of Integer Sequences, Vol. 8 2005, Article 05.2.8 On the Density of Languages Representing Finite Set Partitions Nelma Moreira and Rogério Reis DCC-FC & LIACC Universidade do Porto

More information

THE N-VALUE GAME OVER Z AND R

THE N-VALUE GAME OVER Z AND R THE N-VALUE GAME OVER Z AND R YIDA GAO, MATT REDMOND, ZACH STEWARD Abstract. The n-value game is an easily described mathematical diversion with deep underpinnings in dynamical systems analysis. We examine

More information

Integer Sequences Related to Compositions without 2 s

Integer Sequences Related to Compositions without 2 s 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 6 (2003), Article 03.2.3 Integer Sequences Related to Compositions without 2 s Phyllis Chinn Department of Mathematics Humboldt State University Arcata,

More information

Some families of identities for the integer partition function

Some families of identities for the integer partition function MATHEMATICAL COMMUNICATIONS 193 Math. Commun. 0(015), 193 00 Some families of identities for the integer partition function Ivica Martinja 1, and Dragutin Svrtan 1 Department of Physics, University of

More information

Sequences that satisfy a(n a(n)) = 0

Sequences that satisfy a(n a(n)) = 0 Sequences that satisfy a(n a(n)) = 0 Nate Kube Frank Ruskey October 13, 2005 Abstract We explore the properties of some sequences for which a(n a(n)) = 0. Under the natural restriction that a(n) < n the

More information

Circle Chains Inscribed in Symmetrical Lunes and Integer Sequences

Circle Chains Inscribed in Symmetrical Lunes and Integer Sequences Forum Geometricorum Volume 17 (017) 1 9. FORUM GEOM ISSN 1534-1178 Circle Chains Inscribed in Symmetrical Lunes and Integer Sequences Giovanni Lucca Abstract. We derive the conditions for inscribing, inside

More information

On divisibility of Narayana numbers by primes

On divisibility of Narayana numbers by primes On divisibility of Narayana numbers by primes Miklós Bóna Department of Mathematics, University of Florida Gainesville, FL 32611, USA, bona@math.ufl.edu and Bruce E. Sagan Department of Mathematics, Michigan

More information

k-protected VERTICES IN BINARY SEARCH TREES

k-protected VERTICES IN BINARY SEARCH TREES k-protected VERTICES IN BINARY SEARCH TREES MIKLÓS BÓNA Abstract. We show that for every k, the probability that a randomly selected vertex of a random binary search tree on n nodes is at distance k from

More information

Indistinguishable objects in indistinguishable boxes

Indistinguishable objects in indistinguishable boxes Counting integer partitions 2.4 61 Indistinguishable objects in indistinguishable boxes When placing k indistinguishable objects into n indistinguishable boxes, what matters? We are partitioning the integer

More information

MATH 310 Course Objectives

MATH 310 Course Objectives MATH 310 Course Objectives Upon successful completion of MATH 310, the student should be able to: Apply the addition, subtraction, multiplication, and division principles to solve counting problems. Apply

More information

Discrete Applied Mathematics

Discrete Applied Mathematics Discrete Applied Mathematics 194 (015) 37 59 Contents lists available at ScienceDirect Discrete Applied Mathematics journal homepage: wwwelseviercom/locate/dam Loopy, Hankel, and combinatorially skew-hankel

More information

Lecture 3 - Tuesday July 5th

Lecture 3 - Tuesday July 5th Lecture 3 - Tuesday July 5th jacques@ucsd.edu Key words: Identities, geometric series, arithmetic series, difference of powers, binomial series Key concepts: Induction, proofs of identities 3. Identities

More information

More about partitions

More about partitions Partitions 2.4, 3.4, 4.4 02 More about partitions 3 + +, + 3 +, and + + 3 are all the same partition, so we will write the numbers in non-increasing order. We use greek letters to denote partitions, often

More information

Introduction to Induction (LAMC, 10/14/07)

Introduction to Induction (LAMC, 10/14/07) Introduction to Induction (LAMC, 10/14/07) Olga Radko October 1, 007 1 Definitions The Method of Mathematical Induction (MMI) is usually stated as one of the axioms of the natural numbers (so-called Peano

More information

Enumerating Binary Strings

Enumerating Binary Strings International Mathematical Forum, Vol. 7, 2012, no. 38, 1865-1876 Enumerating Binary Strings without r-runs of Ones M. A. Nyblom School of Mathematics and Geospatial Science RMIT University Melbourne,

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

Secondary 1 Vocabulary Cards and Word Walls Revised: March 16, 2012

Secondary 1 Vocabulary Cards and Word Walls Revised: March 16, 2012 Secondary 1 Vocabulary Cards and Word Walls Revised: March 16, 2012 Important Notes for Teachers: The vocabulary cards in this file match the Common Core, the math curriculum adopted by the Utah State

More information

Taylor Series and Asymptotic Expansions

Taylor Series and Asymptotic Expansions Taylor Series and Asymptotic Epansions The importance of power series as a convenient representation, as an approimation tool, as a tool for solving differential equations and so on, is pretty obvious.

More information

ENHANCING THE CONCEPTUAL UNDERSTANDING OF SEQUENCES AND SERIES WITH TECHNOLOGY. Jay L. Schiffman. Rowan University. 201 Mullica Hill Road

ENHANCING THE CONCEPTUAL UNDERSTANDING OF SEQUENCES AND SERIES WITH TECHNOLOGY. Jay L. Schiffman. Rowan University. 201 Mullica Hill Road ENHANCING THE CONCEPTUAL UNDERSTANDING OF SEQUENCES AND SERIES WITH TECHNOLOGY Jay L. Schiffman Rowan University 20 Mullica Hill Road Glassboro, NJ 08028-70 schiffman@rowan.edu Abstract: The TI-89 and

More information

The cocycle lattice of binary matroids

The cocycle lattice of binary matroids Published in: Europ. J. Comb. 14 (1993), 241 250. The cocycle lattice of binary matroids László Lovász Eötvös University, Budapest, Hungary, H-1088 Princeton University, Princeton, NJ 08544 Ákos Seress*

More information

The Descent Set and Connectivity Set of a Permutation

The Descent Set and Connectivity Set of a Permutation 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 8 (2005), Article 05.3.8 The Descent Set and Connectivity Set of a Permutation Richard P. Stanley 1 Department of Mathematics Massachusetts Institute

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

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

PARTITIONS WITH FIXED DIFFERENCES BETWEEN LARGEST AND SMALLEST PARTS

PARTITIONS WITH FIXED DIFFERENCES BETWEEN LARGEST AND SMALLEST PARTS PARTITIONS WITH FIXED DIFFERENCES BETWEEN LARGEST AND SMALLEST PARTS GEORGE E. ANDREWS, MATTHIAS BECK, AND NEVILLE ROBBINS Abstract. We study the number p(n, t) of partitions of n with difference t between

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

Chapter Contents. A 1.6 Further Results on Systems of Equations and Invertibility 1.7 Diagonal, Triangular, and Symmetric Matrices

Chapter Contents. A 1.6 Further Results on Systems of Equations and Invertibility 1.7 Diagonal, Triangular, and Symmetric Matrices Chapter Contents. Introduction to System of Linear Equations. Gaussian Elimination.3 Matrices and Matri Operations.4 Inverses; Rules of Matri Arithmetic.5 Elementary Matrices and a Method for Finding A.6

More information

Groups. 3.1 Definition of a Group. Introduction. Definition 3.1 Group

Groups. 3.1 Definition of a Group. Introduction. Definition 3.1 Group C H A P T E R t h r e E Groups Introduction Some of the standard topics in elementary group theory are treated in this chapter: subgroups, cyclic groups, isomorphisms, and homomorphisms. In the development

More information

Determinants of Partition Matrices

Determinants of Partition Matrices journal of number theory 56, 283297 (1996) article no. 0018 Determinants of Partition Matrices Georg Martin Reinhart Wellesley College Communicated by A. Hildebrand Received February 14, 1994; revised

More information

BMO Round 1 Problem 1 Generalisation

BMO Round 1 Problem 1 Generalisation BMO 008 009 Round 1 Problem 1 Generalisation Joseph Myers December 008 1 Introduction Problem 1 is: 1. Consider a standard 8 8 chessboard consisting of 64 small squares coloured in the usual pattern, so

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

Enumerative Combinatorics 7: Group actions

Enumerative Combinatorics 7: Group actions Enumerative Combinatorics 7: Group actions Peter J. Cameron Autumn 2013 How many ways can you colour the faces of a cube with three colours? Clearly the answer is 3 6 = 729. But what if we regard two colourings

More information

Another Proof of Nathanson s Theorems

Another Proof of Nathanson s Theorems 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 14 (2011), Article 11.8.4 Another Proof of Nathanson s Theorems Quan-Hui Yang School of Mathematical Sciences Nanjing Normal University Nanjing 210046

More information