1 Counting and Stirling Numbers

Size: px
Start display at page:

Download "1 Counting and Stirling Numbers"

Transcription

1 1 Coutig ad Stirlig Numbers Natural Numbers: We let N {0, 1, 2,...} deote the set of atural umbers. []: For N we let [] {1, 2,..., }. Sym: For a set X we let Sym(X) deote the set of bijectios from X to X. Permutatios: We defie S Sym([]) ad we call elemets of S permutatios. If π S we may view π as the sequece (π(1), π(2),..., π()) Fallig Factorial: For, N the fallig factorial is () ( 1)( 2)... ( + 1). ( ) ( : For, N we let ) deote the umber of elemet subsets of []. Observatio 1.1 ( )! ( )!! Proof: Costruct a elemet subset K [] by taig a permutatio π S ad the lettig K be the first elemets i the correspodig sequece. The total umber of permutatios is! ad each set of size is obtaied from exactly!( )! permutatios sice the first ad last elemets may be freely permuted amog themselves. (( )) (( : We let Observatio 1.2 (( )) ( + 1 )) deote the umber of multisets with groud set [] ad size. 1 ) Proof: Cosider a sequece of legth + 1 terms each of which is either or ad so that there are exactly copies of ad 1 copies of. For istace. We may associate each such sequece with a multiset with groud set [] ad size by treatig the umber of copies of i betwee the i th ad (i + 1) st copies of as the umber of copies of i i the multiset. (so the example is associated with {1, 2 3, 4}). This is a correspodece, so the total umber of multisets of the give type is equal to the umber of sequeces, but this is just ( ) sice we may choose ay 1 of the + 1 terms to be a. Partitios of Sets: If X is a set, a partitio of X is a set P with the property that A B wheever A, B P are distict, A P A X ad X. If A P we call A a bloc of P. S(, ): For, N we let S(, ) deote the umber of partitios of [] ito blocs.

2 2 Observatio 1.3 S(, ) S( 1, ) + S( 1, 1) Proof: Every partitio of [] ito blocs is either obtaied from a partitio of [ 1] ito blocs by isertig ito oe of the blocs (this ca be doe i ways) or from a partitio of [ 1] ito 1 blocs by addig the ew bloc {}. This correspodece yields the desired equality. Partitios of Numbers: If N a partitio of is a sequece λ (λ 1, λ 2,..., λ ) such that λ 1 λ 2... λ ad i1 λ i. We say that λ is a partitio of ito parts. The Youg Diagram of a partitio of is a collectio of left-aliged boxes so that the umber i the i th row is λ i. p (): For, N we let p () deote the umber of partitios of ito parts. Observatio 1.4 p () p 1 ( 1) + p ( ) Proof: The umber of partitios λ (λ 1,..., λ ) of ito parts is equal to the umber of such partitios with λ 1 plus the umber with λ > 1. The first set is i correspodece with the umber of partitios of 1 (just remove the last elemet), while the secod is i correspodece with the umber of partitios of ito parts (decrease each λ i by 1). Idistiguishable Domai & Codomai: We say that two fuctios f, g : N X are equivalet with N idistiguishable if there exists π Sym(N) so that f π g ad equivalet with X idistiguishable if there exists σ Sym(X) so that σ f g (ad similarly for N ad X idistiguishable). Theorem 1.5 The followig table lists the umber of equivalece classes of fuctios from N to X where N ad X x with the idicated properties: Elts. of N Elts. of X Ay Fuctio Ijectios Surjectios dist. dist. x (x) x!s(, x) (( idist. dist. x )) ( x (( x )) ) x dist. idist. S(, 1) + S(, 2) 1 if x S(, x)... + S(, x) 0 if > x idist. idist. p 1 () + p 2 () 1 if x p x ()... + p x () 0 if > x

3 Proof: The idetities for fuctios with N ad X idistiguishable are fairly straightforward, with the last oe followig from the observatio that every surjectio f : N X yields a partitio of N as {f 1 (1), f 1 (2),... f 1 (x)} ad each such partitio gives rise to exactly x! such fuctios. Whe N is idistiguishable ad X is distiguishable a arbitrary fuctio f : N X correspods to a multiset of size with groud set X where the elemet x X appears exactly f 1 (x) times. If we add the costrait that f is ijective, the we are simply coutig sets istead of multisets. Fially, our surjectios f : N X correspod to multisets where every elemet of X appears at least oce. However, by removig oe copy of each elemet, the umber of such multisets is precisely equivalet to the umber of arbitrary multisets with groud set X ad size x. Whe N is distiguishable ad X is idistiguishable, we have a correspodece betwee partitios of N ito exactly x blocs ad surjectios from N to X. The umber of arbitrary fuctios from N to X is the sum of the umber with rage of size 1, size 2, up to size x (ad so the result follows as before), ad fially ay two ijectios are equivalet so the aswer for this box is 1 if such a ijectio exists ad 0 otherwise. Fially, if both N ad X are idistiguishable, the our surjectios correspod precisely to partitios of the umber ito x parts. The umber of arbitrary fuctios from N to X is the sum of the umber with rage of size 1, size 2, up to size x (ad so the result follows as before), ad the ay two ijectios are equivalet so this box is as give. Propositio 1.6 S(, ) 1! i0 ( 1) i( ) i i Proof: Let N, K be sets with N ad K. For a subset H K let f(h) deote the umber of fuctios from N to K \ H. Now usig the above chart, iclusio-exclusio ad the substitutio i j we fid!s(, ) #{f : N K : f is a surjectio} H K( 1) H f(h) 3 ( ) ( 1) j ( j) j j0 ( ) ( 1) i i i i0

4 Propositio 1.7 x S(, )(x) 4 Proof: The left had side of the above equatio is the total umber of fuctios from N to X where N ad X x. By coutig these fuctios accordig to the size of their rage we get x #{f : N X} #{f : N X : f(n) } ( ) x!s(, ) (x) S(, ) Cycles: If f Sym(X) a cycle of f is a sequece (x 1, x 2,..., x ) with the property that f(x i ) x i+1 for 1 i 1 ad f(x ) x 1. We cosider two cycles equivalet if oe is a cyclic shift of the other. A cycle represetatio of f is a list of cycles of f icludig exactly oe from each equivalece class. c(, ): For, N we let c(, ) deote the umber of permutatios of [] with exactly cycles. Note that c(0, 0) 1 but c(s, 0) c(0, t) wheever s, t > 0. Observatio 1.8 c(, ) ( 1)c( 1, ) + c( 1, 1) Proof: Every permutatio of [] with cycles is either obtaied from a permutatio of [ 1] with cycles by isertig ito ay of the 1 positios immediately followig some umber (which ca be doe i 1 ways) or from a permutatio of [ 1] with 1 cycles by addig a ew cycle (). This correspodece gives the above equatio. s(, ): We defie the Stirlig umber of the first id by s(, ) ( 1) c(, ) Propositio 1.9 (i) (ii) c(, )x x(x + 1)(x + 2)... (x + 1) (x) s(, )x

5 Proof: For (i) we shall cosider the left had side ad the right had side as polyomials i x. Let F (x) deote the right had side ad defie the coefficiets b(, ) by the rule F (x) b(, )x where b(0, 0) 1 ad b(s, 0) b(0, t) 0 wheever s, t > 0. Now we have b(, )x F (x) (x + 1)F 1 (x) 1 1 b( 1, )x +1 + ( 1) b( 1, )x 1 b( 1, 1)x + ( 1) b( 1, )x 1 So we fid that b(, ) b( 1, 1) + ( 1)b( 1, ) for, 1. It follows that the terms b(, ) satisfy the same recurrece as c(, ) ad are equal wheever either iput is zero, so we fid that b(, ) c(, ). This completes the proof of (i). For (ii) we have s(, )x ( 1) c(, )x ( 1) c(, )( x) ( 1) ( x)( x + 1)( x + 2)... ( x + 1) x(x 1)(x 2)... (x + 1) (x) F[x]: For a field F we let F[x] deote the rig of polyomials with idetermiate x ad coefficiets i F. Bases of C[x]: We defie B 1 to be the basis of C[x] give by B 1 {1, x, x 2, x, 3,...} ad B 2 to be the basis of C[x] give by {1, (x), (x) 2, (x) 3,...}. 5

6 6 Propositio 1.10 Regard s {s(, )}, N ad S {S(, )}, N as ifiite matrices. The we have: (i) S is the basis trasformatio matrix from B 2 ad B 1. (ii) s is the basis trasformatio matrix from B 1 to B 2. (iii) (iv) S ad s are iverse matrices. m S(, )s(, m) δ m Proof: Parts (i) ad (ii) follow immediately from Propositios 1.6 ad 1.9. Part (iii) is a immediate cosequece of (i) ad (ii), ad (iv) is a restatemet of (iii).

Math 475, Problem Set #12: Answers

Math 475, Problem Set #12: Answers Math 475, Problem Set #12: Aswers A. Chapter 8, problem 12, parts (b) ad (d). (b) S # (, 2) = 2 2, sice, from amog the 2 ways of puttig elemets ito 2 distiguishable boxes, exactly 2 of them result i oe

More information

Math 155 (Lecture 3)

Math 155 (Lecture 3) Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,

More information

Injections, Surjections, and the Pigeonhole Principle

Injections, Surjections, and the Pigeonhole Principle Ijectios, Surjectios, ad the Pigeohole Priciple 1 (10 poits Here we will come up with a sloppy boud o the umber of parethesisestigs (a (5 poits Describe a ijectio from the set of possible ways to est pairs

More information

Homework 3. = k 1. Let S be a set of n elements, and let a, b, c be distinct elements of S. The number of k-subsets of S is

Homework 3. = k 1. Let S be a set of n elements, and let a, b, c be distinct elements of S. The number of k-subsets of S is Homewor 3 Chapter 5 pp53: 3 40 45 Chapter 6 p85: 4 6 4 30 Use combiatorial reasoig to prove the idetity 3 3 Proof Let S be a set of elemets ad let a b c be distict elemets of S The umber of -subsets of

More information

(k) x n. n! tk = x a. (i) x p p! ti ) ( q 0. i 0. k A (i) n p

(k) x n. n! tk = x a. (i) x p p! ti ) ( q 0. i 0. k A (i) n p Math 880 Bigraded Classes & Stirlig Cycle Numbers Fall 206 Bigraded classes. Followig Flajolet-Sedgewic Ch. III, we defie a bigraded class A to be a set of combiatorial objects a A with two measures of

More information

Lecture Notes for CS 313H, Fall 2011

Lecture Notes for CS 313H, Fall 2011 Lecture Notes for CS 313H, Fall 011 August 5. We start by examiig triagular umbers: T () = 1 + + + ( = 0, 1,,...). Triagular umbers ca be also defied recursively: T (0) = 0, T ( + 1) = T () + + 1, or usig

More information

CIS Spring 2018 (instructor Val Tannen)

CIS Spring 2018 (instructor Val Tannen) CIS 160 - Sprig 2018 (istructor Val Tae) Lecture 5 Thursday, Jauary 25 COUNTING We cotiue studyig how to use combiatios ad what are their properties. Example 5.1 How may 8-letter strigs ca be costructed

More information

1 Summary: Binary and Logic

1 Summary: Binary and Logic 1 Summary: Biary ad Logic Biary Usiged Represetatio : each 1-bit is a power of two, the right-most is for 2 0 : 0110101 2 = 2 5 + 2 4 + 2 2 + 2 0 = 32 + 16 + 4 + 1 = 53 10 Usiged Rage o bits is [0...2

More information

MT5821 Advanced Combinatorics

MT5821 Advanced Combinatorics MT5821 Advaced Combiatorics 9 Set partitios ad permutatios It could be said that the mai objects of iterest i combiatorics are subsets, partitios ad permutatios of a fiite set. We have spet some time coutig

More information

Lecture Overview. 2 Permutations and Combinations. n(n 1) (n (k 1)) = n(n 1) (n k + 1) =

Lecture Overview. 2 Permutations and Combinations. n(n 1) (n (k 1)) = n(n 1) (n k + 1) = COMPSCI 230: Discrete Mathematics for Computer Sciece April 8, 2019 Lecturer: Debmalya Paigrahi Lecture 22 Scribe: Kevi Su 1 Overview I this lecture, we begi studyig the fudametals of coutig discrete objects.

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k)

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k) THE TWELVEFOLD WAY FOLLOWING GIAN-CARLO ROTA How ay ways ca we distribute objects to recipiets? Equivaletly, we wat to euerate equivalece classes of fuctios f : X Y where X = ad Y = The fuctios are subject

More information

The multiplicative structure of finite field and a construction of LRC

The multiplicative structure of finite field and a construction of LRC IERG6120 Codig for Distributed Storage Systems Lecture 8-06/10/2016 The multiplicative structure of fiite field ad a costructio of LRC Lecturer: Keeth Shum Scribe: Zhouyi Hu Notatios: We use the otatio

More information

REVIEW FOR CHAPTER 1

REVIEW FOR CHAPTER 1 REVIEW FOR CHAPTER 1 A short summary: I this chapter you helped develop some basic coutig priciples. I particular, the uses of ordered pairs (The Product Priciple), fuctios, ad set partitios (The Sum Priciple)

More information

Chapter 0. Review of set theory. 0.1 Sets

Chapter 0. Review of set theory. 0.1 Sets Chapter 0 Review of set theory Set theory plays a cetral role i the theory of probability. Thus, we will ope this course with a quick review of those otios of set theory which will be used repeatedly.

More information

Legendre-Stirling Permutations

Legendre-Stirling Permutations Legedre-Stirlig Permutatios Eric S. Egge Departmet of Mathematics Carleto College Northfield, MN 07 USA eegge@carleto.edu Abstract We first give a combiatorial iterpretatio of Everitt, Littlejoh, ad Wellma

More information

Books Recommended for Further Reading

Books Recommended for Further Reading Books Recommeded for Further Readig by 8.5..8 o 0//8. For persoal use oly.. K. P. Bogart, Itroductory Combiatorics rd ed., S. I. Harcourt Brace College Publishers, 998.. R. A. Brualdi, Itroductory Combiatorics

More information

A Combinatorial Proof of a Theorem of Katsuura

A Combinatorial Proof of a Theorem of Katsuura Mathematical Assoc. of America College Mathematics Joural 45:1 Jue 2, 2014 2:34 p.m. TSWLatexiaTemp 000017.tex A Combiatorial Proof of a Theorem of Katsuura Bria K. Miceli Bria Miceli (bmiceli@triity.edu)

More information

Solutions to Final Exam

Solutions to Final Exam Solutios to Fial Exam 1. Three married couples are seated together at the couter at Moty s Blue Plate Dier, occupyig six cosecutive seats. How may arragemets are there with o wife sittig ext to her ow

More information

Chimica Inorganica 3

Chimica Inorganica 3 himica Iorgaica Irreducible Represetatios ad haracter Tables Rather tha usig geometrical operatios, it is ofte much more coveiet to employ a ew set of group elemets which are matrices ad to make the rule

More information

14 Classic Counting Problems in Combinatorics

14 Classic Counting Problems in Combinatorics 14 Classic Coutig Problems i Combiatorics (Herbert E. Müller, May 2017, herbert-mueller.ifo) Combiatorics is about coutig objects, or the umber of ways of doig somethig. I this article I preset some classic

More information

subcaptionfont+=small,labelformat=parens,labelsep=space,skip=6pt,list=0,hypcap=0 subcaption ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, 2/16/2016

subcaptionfont+=small,labelformat=parens,labelsep=space,skip=6pt,list=0,hypcap=0 subcaption ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, 2/16/2016 subcaptiofot+=small,labelformat=pares,labelsep=space,skip=6pt,list=0,hypcap=0 subcaptio ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, /6/06. Self-cojugate Partitios Recall that, give a partitio λ, we may

More information

( ) GENERATING FUNCTIONS

( ) GENERATING FUNCTIONS GENERATING FUNCTIONS Solve a ifiite umber of related problems i oe swoop. *Code the problems, maipulate the code, the decode the aswer! Really a algebraic cocept but ca be eteded to aalytic basis for iterestig

More information

(for homogeneous primes P ) defining global complex algebraic geometry. Definition: (a) A subset V CP n is algebraic if there is a homogeneous

(for homogeneous primes P ) defining global complex algebraic geometry. Definition: (a) A subset V CP n is algebraic if there is a homogeneous Math 6130 Notes. Fall 2002. 4. Projective Varieties ad their Sheaves of Regular Fuctios. These are the geometric objects associated to the graded domais: C[x 0,x 1,..., x ]/P (for homogeeous primes P )

More information

arxiv: v1 [math.nt] 10 Dec 2014

arxiv: v1 [math.nt] 10 Dec 2014 A DIGITAL BINOMIAL THEOREM HIEU D. NGUYEN arxiv:42.38v [math.nt] 0 Dec 204 Abstract. We preset a triagle of coectios betwee the Sierpisi triagle, the sum-of-digits fuctio, ad the Biomial Theorem via a

More information

4 The Sperner property.

4 The Sperner property. 4 The Sperer property. I this sectio we cosider a surprisig applicatio of certai adjacecy matrices to some problems i extremal set theory. A importat role will also be played by fiite groups. I geeral,

More information

Week 5-6: The Binomial Coefficients

Week 5-6: The Binomial Coefficients Wee 5-6: The Biomial Coefficiets March 6, 2018 1 Pascal Formula Theorem 11 (Pascal s Formula For itegers ad such that 1, ( ( ( 1 1 + 1 The umbers ( 2 ( 1 2 ( 2 are triagle umbers, that is, The petago umbers

More information

Chain conditions. 1. Artinian and noetherian modules. ALGBOOK CHAINS 1.1

Chain conditions. 1. Artinian and noetherian modules. ALGBOOK CHAINS 1.1 CHAINS 1.1 Chai coditios 1. Artiia ad oetheria modules. (1.1) Defiitio. Let A be a rig ad M a A-module. The module M is oetheria if every ascedig chai!!m 1 M 2 of submodules M of M is stable, that is,

More information

Enumerative & Asymptotic Combinatorics

Enumerative & Asymptotic Combinatorics C50 Eumerative & Asymptotic Combiatorics Notes 4 Sprig 2003 Much of the eumerative combiatorics of sets ad fuctios ca be geeralised i a maer which, at first sight, seems a bit umotivated I this chapter,

More information

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ.

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ. 2 5. Weighted umber of late jobs 5.1. Release dates ad due dates: maximimizig the weight of o-time jobs Oce we add release dates, miimizig the umber of late jobs becomes a sigificatly harder problem. For

More information

Basic Counting. Periklis A. Papakonstantinou. York University

Basic Counting. Periklis A. Papakonstantinou. York University Basic Coutig Periklis A. Papakostatiou York Uiversity We survey elemetary coutig priciples ad related combiatorial argumets. This documet serves oly as a remider ad by o ways does it go i depth or is it

More information

TEACHER CERTIFICATION STUDY GUIDE

TEACHER CERTIFICATION STUDY GUIDE COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra

More information

Measure and Measurable Functions

Measure and Measurable Functions 3 Measure ad Measurable Fuctios 3.1 Measure o a Arbitrary σ-algebra Recall from Chapter 2 that the set M of all Lebesgue measurable sets has the followig properties: R M, E M implies E c M, E M for N implies

More information

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece 1, 1, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet

More information

Beurling Integers: Part 2

Beurling Integers: Part 2 Beurlig Itegers: Part 2 Isomorphisms Devi Platt July 11, 2015 1 Prime Factorizatio Sequeces I the last article we itroduced the Beurlig geeralized itegers, which ca be represeted as a sequece of real umbers

More information

Lecture 23 Rearrangement Inequality

Lecture 23 Rearrangement Inequality Lecture 23 Rearragemet Iequality Holde Lee 6/4/ The Iequalities We start with a example Suppose there are four boxes cotaiig $0, $20, $50 ad $00 bills, respectively You may take 2 bills from oe box, 3

More information

Math 5705: Enumerative Combinatorics, Fall 2018: Homework 3

Math 5705: Enumerative Combinatorics, Fall 2018: Homework 3 Uiversity of Miesota, School of Mathematics Math 5705: Eumerative Combiatorics, all 2018: Homewor 3 Darij Griberg October 15, 2018 due date: Wedesday, 10 October 2018 at the begiig of class, or before

More information

David Vella, Skidmore College.

David Vella, Skidmore College. David Vella, Skidmore College dvella@skidmore.edu Geeratig Fuctios ad Expoetial Geeratig Fuctios Give a sequece {a } we ca associate to it two fuctios determied by power series: Its (ordiary) geeratig

More information

SOLVED EXAMPLES

SOLVED EXAMPLES Prelimiaries Chapter PELIMINAIES Cocept of Divisibility: A o-zero iteger t is said to be a divisor of a iteger s if there is a iteger u such that s tu I this case we write t s (i) 6 as ca be writte as

More information

6.003 Homework #3 Solutions

6.003 Homework #3 Solutions 6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the

More information

A brief introduction to linear algebra

A brief introduction to linear algebra CHAPTER 6 A brief itroductio to liear algebra 1. Vector spaces ad liear maps I what follows, fix K 2{Q, R, C}. More geerally, K ca be ay field. 1.1. Vector spaces. Motivated by our ituitio of addig ad

More information

Let us consider the following problem to warm up towards a more general statement.

Let us consider the following problem to warm up towards a more general statement. Lecture 4: Sequeces with repetitios, distributig idetical objects amog distict parties, the biomial theorem, ad some properties of biomial coefficiets Refereces: Relevat parts of chapter 15 of the Math

More information

Lecture 10: Mathematical Preliminaries

Lecture 10: Mathematical Preliminaries Lecture : Mathematical Prelimiaries Obective: Reviewig mathematical cocepts ad tools that are frequetly used i the aalysis of algorithms. Lecture # Slide # I this

More information

A GENERALIZATION OF THE SYMMETRY BETWEEN COMPLETE AND ELEMENTARY SYMMETRIC FUNCTIONS. Mircea Merca

A GENERALIZATION OF THE SYMMETRY BETWEEN COMPLETE AND ELEMENTARY SYMMETRIC FUNCTIONS. Mircea Merca Idia J Pure Appl Math 45): 75-89 February 204 c Idia Natioal Sciece Academy A GENERALIZATION OF THE SYMMETRY BETWEEN COMPLETE AND ELEMENTARY SYMMETRIC FUNCTIONS Mircea Merca Departmet of Mathematics Uiversity

More information

Lecture Notes for Analysis Class

Lecture Notes for Analysis Class Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios

More information

Chapter 6. Advanced Counting Techniques

Chapter 6. Advanced Counting Techniques Chapter 6 Advaced Coutig Techiques 6.: Recurrece Relatios Defiitio: A recurrece relatio for the sequece {a } is a equatio expressig a i terms of oe or more of the previous terms of the sequece: a,a2,a3,,a

More information

MT5821 Advanced Combinatorics

MT5821 Advanced Combinatorics MT5821 Advaced Combiatorics 1 Coutig subsets I this sectio, we cout the subsets of a -elemet set. The coutig umbers are the biomial coefficiets, familiar objects but there are some ew thigs to say about

More information

Find a formula for the exponential function whose graph is given , 1 2,16 1, 6

Find a formula for the exponential function whose graph is given , 1 2,16 1, 6 Math 4 Activity (Due by EOC Apr. ) Graph the followig epoetial fuctios by modifyig the graph of f. Fid the rage of each fuctio.. g. g. g 4. g. g 6. g Fid a formula for the epoetial fuctio whose graph is

More information

[ 11 ] z of degree 2 as both degree 2 each. The degree of a polynomial in n variables is the maximum of the degrees of its terms.

[ 11 ] z of degree 2 as both degree 2 each. The degree of a polynomial in n variables is the maximum of the degrees of its terms. [ 11 ] 1 1.1 Polyomial Fuctios 1 Algebra Ay fuctio f ( x) ax a1x... a1x a0 is a polyomial fuctio if ai ( i 0,1,,,..., ) is a costat which belogs to the set of real umbers ad the idices,, 1,...,1 are atural

More information

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero? 2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a

More information

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece,, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet as

More information

DIVISIBILITY PROPERTIES OF GENERALIZED FIBONACCI POLYNOMIALS

DIVISIBILITY PROPERTIES OF GENERALIZED FIBONACCI POLYNOMIALS DIVISIBILITY PROPERTIES OF GENERALIZED FIBONACCI POLYNOMIALS VERNER E. HOGGATT, JR. Sa Jose State Uiversity, Sa Jose, Califoria 95192 ad CALVIN T. LONG Washigto State Uiversity, Pullma, Washigto 99163

More information

Introduction To Discrete Mathematics

Introduction To Discrete Mathematics Itroductio To Discrete Mathematics Review If you put + pigeos i pigeoholes the at least oe hole would have more tha oe pigeo. If (r + objects are put ito boxes, the at least oe of the boxes cotais r or

More information

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

CALCULATING FIBONACCI VECTORS

CALCULATING FIBONACCI VECTORS THE GENERALIZED BINET FORMULA FOR CALCULATING FIBONACCI VECTORS Stuart D Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithacaedu ad Dai Novak Departmet

More information

CALCULATION OF FIBONACCI VECTORS

CALCULATION OF FIBONACCI VECTORS CALCULATION OF FIBONACCI VECTORS Stuart D. Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithaca.edu ad Dai Novak Departmet of Mathematics, Ithaca College

More information

Frequency Response of FIR Filters

Frequency Response of FIR Filters EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we itroduce the idea of the frequecy respose of LTI systems, ad focus specifically o the frequecy respose of FIR filters.. Steady-state

More information

Putnam Training Exercise Counting, Probability, Pigeonhole Principle (Answers)

Putnam Training Exercise Counting, Probability, Pigeonhole Principle (Answers) Putam Traiig Exercise Coutig, Probability, Pigeohole Pricile (Aswers) November 24th, 2015 1. Fid the umber of iteger o-egative solutios to the followig Diohatie equatio: x 1 + x 2 + x 3 + x 4 + x 5 = 17.

More information

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS DEMETRES CHRISTOFIDES Abstract. Cosider a ivertible matrix over some field. The Gauss-Jorda elimiatio reduces this matrix to the idetity

More information

Polynomials with Rational Roots that Differ by a Non-zero Constant. Generalities

Polynomials with Rational Roots that Differ by a Non-zero Constant. Generalities Polyomials with Ratioal Roots that Differ by a No-zero Costat Philip Gibbs The problem of fidig two polyomials P(x) ad Q(x) of a give degree i a sigle variable x that have all ratioal roots ad differ by

More information

Discrete Math Class 5 ( )

Discrete Math Class 5 ( ) Discrete Math 37110 - Class 5 (2016-10-11 Istructor: László Babai Notes tae by Jacob Burroughs Revised by istructor 5.1 Fermat s little Theorem Theorem 5.1 (Fermat s little Theorem. If p is prime ad gcd(a,

More information

MATH 205 HOMEWORK #2 OFFICIAL SOLUTION. (f + g)(x) = f(x) + g(x) = f( x) g( x) = (f + g)( x)

MATH 205 HOMEWORK #2 OFFICIAL SOLUTION. (f + g)(x) = f(x) + g(x) = f( x) g( x) = (f + g)( x) MATH 205 HOMEWORK #2 OFFICIAL SOLUTION Problem 2: Do problems 7-9 o page 40 of Hoffma & Kuze. (7) We will prove this by cotradictio. Suppose that W 1 is ot cotaied i W 2 ad W 2 is ot cotaied i W 1. The

More information

Course : Algebraic Combinatorics

Course : Algebraic Combinatorics Course 8.32: Algebraic Combiatorics Lecture Notes # Addedum by Gregg Musier February 4th - 6th, 2009 Recurrece Relatios ad Geeratig Fuctios Give a ifiite sequece of umbers, a geeratig fuctio is a compact

More information

Complex Numbers Solutions

Complex Numbers Solutions Complex Numbers Solutios Joseph Zoller February 7, 06 Solutios. (009 AIME I Problem ) There is a complex umber with imagiary part 64 ad a positive iteger such that Fid. [Solutio: 697] 4i + + 4i. 4i 4i

More information

Two Topics in Number Theory: Sum of Divisors of the Factorial and a Formula for Primes

Two Topics in Number Theory: Sum of Divisors of the Factorial and a Formula for Primes Iteratioal Mathematical Forum, Vol. 2, 207, o. 9, 929-935 HIKARI Ltd, www.m-hiari.com https://doi.org/0.2988/imf.207.7088 Two Topics i Number Theory: Sum of Divisors of the Factorial ad a Formula for Primes

More information

CSE 1400 Applied Discrete Mathematics Number Theory and Proofs

CSE 1400 Applied Discrete Mathematics Number Theory and Proofs CSE 1400 Applied Discrete Mathematics Number Theory ad Proofs Departmet of Computer Scieces College of Egieerig Florida Tech Sprig 01 Problems for Number Theory Backgroud Number theory is the brach of

More information

Course : Algebraic Combinatorics

Course : Algebraic Combinatorics Course 18.312: Algebraic Combiatorics Lecture Notes # 18-19 Addedum by Gregg Musier March 18th - 20th, 2009 The followig material ca be foud i a umber of sources, icludig Sectios 7.3 7.5, 7.7, 7.10 7.11,

More information

Worksheet on Generating Functions

Worksheet on Generating Functions Worksheet o Geeratig Fuctios October 26, 205 This worksheet is adapted from otes/exercises by Nat Thiem. Derivatives of Geeratig Fuctios. If the sequece a 0, a, a 2,... has ordiary geeratig fuctio A(x,

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

Tutorial F n F n 1

Tutorial F n F n 1 (CS 207) Discrete Structures July 30, 203 Tutorial. Prove the followig properties of Fiboacci umbers usig iductio, where Fiboacci umbers are defied as follows: F 0 =0,F =adf = F + F 2. (a) Prove that P

More information

Problem Set 2 Solutions

Problem Set 2 Solutions CS271 Radomess & Computatio, Sprig 2018 Problem Set 2 Solutios Poit totals are i the margi; the maximum total umber of poits was 52. 1. Probabilistic method for domiatig sets 6pts Pick a radom subset S

More information

Commutativity in Permutation Groups

Commutativity in Permutation Groups Commutativity i Permutatio Groups Richard Wito, PhD Abstract I the group Sym(S) of permutatios o a oempty set S, fixed poits ad trasiet poits are defied Prelimiary results o fixed ad trasiet poits are

More information

(ii) Two-permutations of {a, b, c}. Answer. (B) P (3, 3) = 3! (C) 3! = 6, and there are 6 items in (A). ... Answer.

(ii) Two-permutations of {a, b, c}. Answer. (B) P (3, 3) = 3! (C) 3! = 6, and there are 6 items in (A). ... Answer. SOLUTIONS Homewor 5 Due /6/19 Exercise. (a Cosider the set {a, b, c}. For each of the followig, (A list the objects described, (B give a formula that tells you how may you should have listed, ad (C verify

More information

Algebra of Least Squares

Algebra of Least Squares October 19, 2018 Algebra of Least Squares Geometry of Least Squares Recall that out data is like a table [Y X] where Y collects observatios o the depedet variable Y ad X collects observatios o the k-dimesioal

More information

Lecture 6 April 10. We now give two identities which are useful for simplifying sums of binomial coefficients.

Lecture 6 April 10. We now give two identities which are useful for simplifying sums of binomial coefficients. Lecture 6 April 0 As aother applicatio of the biomial theorem we have the followig. For 0. 0 I other words startig with the secod row ad goig dow if we sum alog the rows alteratig sig as we go the result

More information

Chapter IV Integration Theory

Chapter IV Integration Theory Chapter IV Itegratio Theory Lectures 32-33 1. Costructio of the itegral I this sectio we costruct the abstract itegral. As a matter of termiology, we defie a measure space as beig a triple (, A, µ), where

More information

Linear chord diagrams with long chords

Linear chord diagrams with long chords Liear chord diagrams with log chords Everett Sulliva Departmet of Mathematics Dartmouth College Haover New Hampshire, U.S.A. everett..sulliva@dartmouth.edu Submitted: Feb 7, 2017; Accepted: Oct 7, 2017;

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

More information

Sequences of Definite Integrals, Factorials and Double Factorials

Sequences of Definite Integrals, Factorials and Double Factorials 47 6 Joural of Iteger Sequeces, Vol. 8 (5), Article 5.4.6 Sequeces of Defiite Itegrals, Factorials ad Double Factorials Thierry Daa-Picard Departmet of Applied Mathematics Jerusalem College of Techology

More information

MATH 31B: MIDTERM 2 REVIEW

MATH 31B: MIDTERM 2 REVIEW MATH 3B: MIDTERM REVIEW JOE HUGHES. Evaluate x (x ) (x 3).. Partial Fractios Solutio: The umerator has degree less tha the deomiator, so we ca use partial fractios. Write x (x ) (x 3) = A x + A (x ) +

More information

# fixed points of g. Tree to string. Repeatedly select the leaf with the smallest label, write down the label of its neighbour and remove the leaf.

# fixed points of g. Tree to string. Repeatedly select the leaf with the smallest label, write down the label of its neighbour and remove the leaf. Combiatorics Graph Theory Coutig labelled ad ulabelled graphs There are 2 ( 2) labelled graphs of order. The ulabelled graphs of order correspod to orbits of the actio of S o the set of labelled graphs.

More information

ECEN 644 HOMEWORK #5 SOLUTION SET

ECEN 644 HOMEWORK #5 SOLUTION SET ECE 644 HOMEWORK #5 SOUTIO SET 7. x is a real valued sequece. The first five poits of its 8-poit DFT are: {0.5, 0.5 - j 0.308, 0, 0.5 - j 0.058, 0} To compute the 3 remaiig poits, we ca use the followig

More information

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) =

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) = AN INTRODUCTION TO SCHRÖDER AND UNKNOWN NUMBERS NICK DUFRESNE Abstract. I this article we will itroduce two types of lattice paths, Schröder paths ad Ukow paths. We will examie differet properties of each,

More information

FLOOR AND ROOF FUNCTION ANALOGS OF THE BELL NUMBERS. H. W. Gould Department of Mathematics, West Virginia University, Morgantown, WV 26506, USA

FLOOR AND ROOF FUNCTION ANALOGS OF THE BELL NUMBERS. H. W. Gould Department of Mathematics, West Virginia University, Morgantown, WV 26506, USA INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 7 (2007), #A58 FLOOR AND ROOF FUNCTION ANALOGS OF THE BELL NUMBERS H. W. Gould Departmet of Mathematics, West Virgiia Uiversity, Morgatow, WV

More information

Summer High School 2009 Aaron Bertram

Summer High School 2009 Aaron Bertram Summer High School 009 Aaro Bertram 3 Iductio ad Related Stuff Let s thik for a bit about the followig two familiar equatios: Triagle Number Equatio Square Number Equatio: + + 3 + + = ( + + 3 + 5 + + (

More information

Combinatorially Thinking

Combinatorially Thinking Combiatorially Thiig SIMUW 2008: July 4 25 Jeifer J Qui jjqui@uwashigtoedu Philosophy We wat to costruct our mathematical uderstadig To this ed, our goal is to situate our problems i cocrete coutig cotexts

More information

Review Problems 1. ICME and MS&E Refresher Course September 19, 2011 B = C = AB = A = A 2 = A 3... C 2 = C 3 = =

Review Problems 1. ICME and MS&E Refresher Course September 19, 2011 B = C = AB = A = A 2 = A 3... C 2 = C 3 = = Review Problems ICME ad MS&E Refresher Course September 9, 0 Warm-up problems. For the followig matrices A = 0 B = C = AB = 0 fid all powers A,A 3,(which is A times A),... ad B,B 3,... ad C,C 3,... Solutio:

More information

Homework 2 January 19, 2006 Math 522. Direction: This homework is due on January 26, In order to receive full credit, answer

Homework 2 January 19, 2006 Math 522. Direction: This homework is due on January 26, In order to receive full credit, answer Homework 2 Jauary 9, 26 Math 522 Directio: This homework is due o Jauary 26, 26. I order to receive full credit, aswer each problem completely ad must show all work.. What is the set of the uits (that

More information

A NOTE ON PASCAL S MATRIX. Gi-Sang Cheon, Jin-Soo Kim and Haeng-Won Yoon

A NOTE ON PASCAL S MATRIX. Gi-Sang Cheon, Jin-Soo Kim and Haeng-Won Yoon J Korea Soc Math Educ Ser B: Pure Appl Math 6(1999), o 2 121 127 A NOTE ON PASCAL S MATRIX Gi-Sag Cheo, Ji-Soo Kim ad Haeg-Wo Yoo Abstract We ca get the Pascal s matrix of order by takig the first rows

More information

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function.

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function. MATH 532 Measurable Fuctios Dr. Neal, WKU Throughout, let ( X, F, µ) be a measure space ad let (!, F, P ) deote the special case of a probability space. We shall ow begi to study real-valued fuctios defied

More information

CHAPTER 5. Theory and Solution Using Matrix Techniques

CHAPTER 5. Theory and Solution Using Matrix Techniques A SERIES OF CLASS NOTES FOR 2005-2006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 3 A COLLECTION OF HANDOUTS ON SYSTEMS OF ORDINARY DIFFERENTIAL

More information

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014. Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the

More information

Counting Well-Formed Parenthesizations Easily

Counting Well-Formed Parenthesizations Easily Coutig Well-Formed Parethesizatios Easily Pekka Kilpeläie Uiversity of Easter Filad School of Computig, Kuopio August 20, 2014 Abstract It is well kow that there is a oe-to-oe correspodece betwee ordered

More information

Generating Functions. 1 Operations on generating functions

Generating Functions. 1 Operations on generating functions Geeratig Fuctios The geeratig fuctio for a sequece a 0, a,..., a,... is defied to be the power series fx a x. 0 We say that a 0, a,... is the sequece geerated by fx ad a is the coefficiet of x. Example

More information

Math 4707 Spring 2018 (Darij Grinberg): homework set 4 page 1

Math 4707 Spring 2018 (Darij Grinberg): homework set 4 page 1 Math 4707 Sprig 2018 Darij Griberg): homewor set 4 page 1 Math 4707 Sprig 2018 Darij Griberg): homewor set 4 due date: Wedesday 11 April 2018 at the begiig of class, or before that by email or moodle Please

More information

The Boolean Ring of Intervals

The Boolean Ring of Intervals MATH 532 Lebesgue Measure Dr. Neal, WKU We ow shall apply the results obtaied about outer measure to the legth measure o the real lie. Throughout, our space X will be the set of real umbers R. Whe ecessary,

More information

Permutations & Combinations. Dr Patrick Chan. Multiplication / Addition Principle Inclusion-Exclusion Principle Permutation / Combination

Permutations & Combinations. Dr Patrick Chan. Multiplication / Addition Principle Inclusion-Exclusion Principle Permutation / Combination Discrete Mathematic Chapter 3: C outig 3. The Basics of Coutig 3.3 Permutatios & Combiatios 3.5 Geeralized Permutatios & Combiatios 3.6 Geeratig Permutatios & Combiatios Dr Patrick Cha School of Computer

More information

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j. Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α

More information

FROM DAHA TO EHA ANDREI NEGUȚ

FROM DAHA TO EHA ANDREI NEGUȚ FROM DAHA TO EHA ANDREI NEGUȚ 1. Goals The mai purpose of this talk is two coect the two halves of our semiar. Specifically, we will follow the outlie below: Cosider the spherical double affie Hecke algebra

More information

Section 7 Fundamentals of Sequences and Series

Section 7 Fundamentals of Sequences and Series ectio Fudametals of equeces ad eries. Defiitio ad examples of sequeces A sequece ca be thought of as a ifiite list of umbers. 0, -, -0, -, -0...,,,,,,. (iii),,,,... Defiitio: A sequece is a fuctio which

More information