These Two Weeks. Mathematical Induction Chapter 4 Lecture 10 & Lecture 13. CPRE 310 Discrete Mathematics. Mathematical Induction Problems
|
|
- Lee Hunter
- 5 years ago
- Views:
Transcription
1 These Two Wees CPRE 0 Discrete Mathematics Mathematical Iductio Chapter Lecture 0 & Lecture Lecture 0 Mathematical Iductio (MI) MI Problems Lecture, Review Lecture February 9, Test I A list of topics ad practice problems is posted ad also mailed to you. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Mathematical Iductio Problems Page 79-8:,,0,,,,,,, 7 Mathematical Iductio: A Way to Prove Formulas ad Other Thigs Give a iteger variable, we ca cosider a variety of properties P() that might be true or false for various values of. For istace, we could cosider P(): 7 ( ) = P(): is divisible by P(): cets ca be obtaied usig ad cois A proof by mathematical iductio shows that a give property P() is true for all itegers greater tha or equal to some iitial iteger. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Warm-up : Cosider the expressio 7 ( ) Warm-up : Cosider the property P( ): 7 ( ) =. What is 7 ( ) whe =? whe =? ( ) ( ) ( ) = ( ) ( ) = whe =? ( ) = NOTE: The umbers,, ad 7 do t appear!. What is 7 ( ) whe =? 7 ( ) = = whe =? ( ) (() ) = ( ) What is the ext-to-last term of 7 ( )?. What is P()?. What is P()?. What is P( )? = Why the colo? Why ot =? 7 ( ) = 7 (( ) ) = ( ) Or: 7 ( ) = ( ) Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 6
2 Class Exercise Mathematical Iductio: Itroductio Do the worsheet Itroductio to Mathematical Iductio. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 7 Is there some feature of the table below that esures that it ca be cotiued idefiitely? 6 7 ( ) M ( -) ( -) ( ) M ( ) If, the? Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 8 6 equal? Mathematical Iductio: Itroductio. Equality of the two expressios i ay oe row guaratees equality i the ext row. Why? I row, we have ( ) ( ). But if we assume the expressios are equal i row, the this equals ( ) = ( ). The equality is true i some row(s). Thus, the expressios will be equal i all rows. Coclude: The table ca be cotiued idefiitely. Format for Math Iductio A proof by mathematical iductio cosists of two steps: a basis step ad a iductive step. I the basis step, oe shows that the property is true for the iitial value of. I the iductive step, oe assumes that the property is true for a particular but arbitrarily chose value of the iitial value, ad oe the shows that the property is true for the ext value of. A variatio of mathematical iductio is used to prove correctess of computer algorithms. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 9 Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 0 Mathematical Iductio: Example Example: Prove that for all itegers, 7 ( ) =. Proof: Cosider the equatio 7 ( ) = the property Show that the property is true for = : Whe =, the property is the equatio =. But the left-had side (LHS) of this equatio is, ad the right-had side (RHS) is, which equals also. So the property is true for =. It s really importat to ow what the property is. Iductive Step for proof that for all itegers, 7 ( ) =. Show that itegers, if the property is true for = the it is true for = : Let be ay iteger with, ad suppose that the property is true for =. I other words, suppose that 7 ( ) =. This suppositio is called the iductive hypothesis. We must show that the property is true for =. I other words, we must show that 7 (( ) ) = ( ), or, equivaletly, we must show that 7 ( ) = ( ). Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Lecture Notes Copyright 009 S.C. Kothari all rights reserved.
3 Iductive hypothesis: 7 ( )=. Show: 7 ( ) = ( ). Mathematical Iductio Note But the LHS of the equatio to be show is 7 ( ) = 7 ( ) ( ) by maig the ext-to-last-term explicit = ( ) by substitutio from the iductive hypothesis = ( ) by algebra, which equals the RHS of the equatio to be show. This proves that if the property is true for =, the it is true for = ad completes the proof by mathematical iductio. Whe provig a formula by mathematical iductio, it is virtually always desirable to mae the extto-last-term explicit, as was doe above. Doig so, maes it easier to see how the iductive hypothesis will apply. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Mathematical Iductio Why do the basis ad iductive steps prove that the property is true for all itegers? I other words, why do they prove that for all itegers, 7 ( ) =? Thi bac to the reasoig we used for the table. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Outlie a proof by math iductio for: L = for all itegers 0. Proof by mathematical iductio: Let the property P() be the equatio L =. Show that the property is true for = 0: We must show that 0 =. Show that for all itegers 0, if the property is true for =, the it is true for = : Let be a iteger with 0, ad suppose that [This is the L =. iductive hypothesis.] We must show that ( ) L =. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 6 Class Exercise Do the worsheet Outliig a Proof by Mathematical Iductio. Algorithmic Notatio ad Trace Tables The Euclidea Algorithm Iput: A, B [itegers with A > B 0] Algorithm Body: a := A, b := B, r := B while (b 0) r := a mod b a := b b := r ed while gcd := a Output: gcd [gcd will be the greatest commo divisor of A ad B] Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 7 Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 8
4 Algorithmic Notatio ad Trace Tables Trace the actio of the Euclidea algorithm: A 78 B 0 a b r gcd More About Summatios. = = = = ( ad are called dummy variables ). = = ( i ) = i = 0 (Chage i limits chage i terms) Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 9 Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 0 More About Summatios More About Summatios. a b = ( a b ) = = = = c a ca = = Example: a b = ( a a) ( b b) = = = ( ( = a b) a b) ( a b ) = Example: Trasform by maig the chage of variable j =. = Whe =, the j = = 0 Whe =, the j = j = = j Thus = (j ) So: = = ( j ) j = 0 Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Outlie a proof by math iductio for: is divisible by for all itegers 0. Scratch Wor for fiishig the proof that is divisible by for all itegers 0. Proof by mathematical iductio: Let the property P() be the setece is divisible by. the property Show that the property is true for = 0: We must show that 0 is divisible by. But 0 = = 0, ad 0 is divisible by because 0 = 0. Show that for all itegers 0, if the property is true for =, the it is true for = : Let be a iteger with 0, ad suppose that [the property is true for =. I other words,] suppose that] is divisible by. iductive hypothesis We must show that [the property is true for =. I other words, we must show that] is divisible by. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Iductive hypothesis: is divisible by. Wat to show: is divisible by. Worig Bacward: Wat = (some iteger) Worig Forward: Kow = r for some iteger r Experimet: = = ( ) = = ( ) Note: Each of these terms is divisible by. So: = r (where r is a iteger) = ( r) Lecture Notes Copyright 009 S.C. Kothari all rights reserved.
5 Cautio! The fact that a property is true for a large umber of cases does ot isure that it is true i all cases. Proof is eeded!! Example : Let the property P () be the setece is prime. This setece is true for itegers through 0, but ot =. Example : Let the property P () be the setece is ot a iteger. There are itegers for which this setece is false. However, the smallest positive iteger for which the setece is false is 0,69,8,,76,67,97,97,08. Tromio Problem: Itroductio Defiitio: a tromio is a group of three uit squares arraged as follows: Tromio Problem: Show that for all itegers, ay checerboard with oe square removed ca be completely covered by tromioes. Example: Lecture Notes Copyright 009 S.C. Kothari all rights reserved. Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 6 Tromio Problem: Itroductio Defiitio: a tromio is a group of three uit squares arraged as follows: Tromio Problem: Show that for all itegers, ay checerboard with oe square removed ca be completely covered by tromioes. Example: Lecture Notes Copyright 009 S.C. Kothari all rights reserved. 7
Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018
CSE 353 Discrete Computatioal Structures Sprig 08 Sequeces, Mathematical Iductio, ad Recursio (Chapter 5, Epp) Note: some course slides adopted from publisher-provided material Overview May mathematical
More informationMATH 304: MIDTERM EXAM SOLUTIONS
MATH 304: MIDTERM EXAM SOLUTIONS [The problems are each worth five poits, except for problem 8, which is worth 8 poits. Thus there are 43 possible poits.] 1. Use the Euclidea algorithm to fid the greatest
More informationSet Notation Review. N the set of positive integers (aka set of natural numbers) {1, 2, 3, }
11. Notes o Mathematical Iductio Before we delve ito the today s topic, let s review some basic set otatio Set Notatio Review N the set of positive itegers (aa set of atural umbers) {1,, 3, } Z the set
More informationThe Structure of Z p when p is Prime
LECTURE 13 The Structure of Z p whe p is Prime Theorem 131 If p > 1 is a iteger, the the followig properties are equivalet (1) p is prime (2) For ay [0] p i Z p, the equatio X = [1] p has a solutio i Z
More informationMath F215: Induction April 7, 2013
Math F25: Iductio April 7, 203 Iductio is used to prove that a collectio of statemets P(k) depedig o k N are all true. A statemet is simply a mathematical phrase that must be either true or false. Here
More informationModern Algebra 1 Section 1 Assignment 1. Solution: We have to show that if you knock down any one domino, then it knocks down the one behind it.
Moder Algebra 1 Sectio 1 Assigmet 1 JOHN PERRY Eercise 1 (pg 11 Warm-up c) Suppose we have a ifiite row of domioes, set up o ed What sort of iductio argumet would covice us that ocig dow the first domio
More informationInduction proofs - practice! SOLUTIONS
Iductio proofs - practice! SOLUTIONS 1. Prove that f ) = 6 + + 15 is odd for all Z +. Base case: For = 1, f 1) = 41) + 1) + 13 = 19. Sice 19 is odd, f 1) is odd - base case prove. Iductive hypothesis:
More informationProperties and Tests of Zeros of Polynomial Functions
Properties ad Tests of Zeros of Polyomial Fuctios The Remaider ad Factor Theorems: Sythetic divisio ca be used to fid the values of polyomials i a sometimes easier way tha substitutio. This is show by
More informationDifferent kinds of Mathematical Induction
Differet ids of Mathematical Iductio () Mathematical Iductio Give A N, [ A (a A a A)] A N () (First) Priciple of Mathematical Iductio Let P() be a propositio (ope setece), if we put A { : N p() is true}
More informationCSE 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 informationExam 2 CMSC 203 Fall 2009 Name SOLUTION KEY Show All Work! 1. (16 points) Circle T if the corresponding statement is True or F if it is False.
1 (1 poits) Circle T if the correspodig statemet is True or F if it is False T F For ay positive iteger,, GCD(, 1) = 1 T F Every positive iteger is either prime or composite T F If a b mod p, the (a/p)
More informationBertrand s Postulate
Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a
More informationQ-BINOMIALS AND THE GREATEST COMMON DIVISOR. Keith R. Slavin 8474 SW Chevy Place, Beaverton, Oregon 97008, USA.
INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 8 2008, #A05 Q-BINOMIALS AND THE GREATEST COMMON DIVISOR Keith R. Slavi 8474 SW Chevy Place, Beaverto, Orego 97008, USA slavi@dsl-oly.et Received:
More informationRecurrence 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 informationBasic Combinatorics. Math 40210, Section 01 Spring Homework 7 due Monday, March 26
Basic Combiatorics Math 40210, Sectio 01 Sprig 2012 Homewor 7 due Moday, March 26 Geeral iformatio: I ecourage you to tal with your colleagues about homewor problems, but your fial write-up must be your
More informationEssential Question How can you recognize an arithmetic sequence from its graph?
. Aalyzig Arithmetic Sequeces ad Series COMMON CORE Learig Stadards HSF-IF.A.3 HSF-BF.A. HSF-LE.A. Essetial Questio How ca you recogize a arithmetic sequece from its graph? I a arithmetic sequece, the
More informationSolutions to Math 347 Practice Problems for the final
Solutios to Math 347 Practice Problems for the fial 1) True or False: a) There exist itegers x,y such that 50x + 76y = 6. True: the gcd of 50 ad 76 is, ad 6 is a multiple of. b) The ifiimum of a set is
More informationPROBLEM SET 5 SOLUTIONS 126 = , 37 = , 15 = , 7 = 7 1.
Math 7 Sprig 06 PROBLEM SET 5 SOLUTIONS Notatios. Give a real umber x, we will defie sequeces (a k ), (x k ), (p k ), (q k ) as i lecture.. (a) (5 pts) Fid the simple cotiued fractio represetatios of 6
More informationSOME TRIBONACCI IDENTITIES
Mathematics Today Vol.7(Dec-011) 1-9 ISSN 0976-38 Abstract: SOME TRIBONACCI IDENTITIES Shah Devbhadra V. Sir P.T.Sarvajaik College of Sciece, Athwalies, Surat 395001. e-mail : drdvshah@yahoo.com The sequece
More informationsubcaptionfont+=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 information1. By using truth tables prove that, for all statements P and Q, the statement
Author: Satiago Salazar Problems I: Mathematical Statemets ad Proofs. By usig truth tables prove that, for all statemets P ad Q, the statemet P Q ad its cotrapositive ot Q (ot P) are equivalet. I example.2.3
More informationP1 Chapter 8 :: Binomial Expansion
P Chapter 8 :: Biomial Expasio jfrost@tiffi.kigsto.sch.uk www.drfrostmaths.com @DrFrostMaths Last modified: 6 th August 7 Use of DrFrostMaths for practice Register for free at: www.drfrostmaths.com/homework
More informationProblem 4: Evaluate ( k ) by negating (actually un-negating) its upper index. Binomial coefficient
Problem 4: Evaluate by egatig actually u-egatig its upper idex We ow that Biomial coefficiet r { where r is a real umber, is a iteger The above defiitio ca be recast i terms of factorials i the commo case
More informationCSE 20 Discrete Math. Perturbation method. Winter, February 23, Day 14
CSE 0 Discrete Math Witer, 00 February 3, Day 14 Summatios (portios from Cocrete Mathematics by Graham, Kuth, Patashik) Iductio Give: S = 0 k a k, d last term: Perturbatio method Rewrite S+1 by splittig
More informationRegent College Maths Department. Further Pure 1. Proof by Induction
Reget College Maths Departmet Further Pure Proof by Iductio Further Pure Proof by Mathematical Iductio Page Further Pure Proof by iductio The Edexcel syllabus says that cadidates should be able to: (a)
More informationIn number theory we will generally be working with integers, though occasionally fractions and irrationals will come into play.
Number Theory Math 5840 otes. Sectio 1: Axioms. I umber theory we will geerally be workig with itegers, though occasioally fractios ad irratioals will come ito play. Notatio: Z deotes the set of all itegers
More informationZeros of Polynomials
Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree
More informationComplex 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 informationChapter 9 Sequences, Series, and Probability Section 9.4 Mathematical Induction
Chapter 9 equeces, eries, ad Probability ectio 9. Mathematical Iductio ectio Objectives: tudets will lear how to use mathematical iductio to prove statemets ivolvig a positive iteger, recogize patters
More informationThe picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled
1 Lecture : Area Area ad distace traveled Approximatig area by rectagles Summatio The area uder a parabola 1.1 Area ad distace Suppose we have the followig iformatio about the velocity of a particle, how
More information3 Gauss map and continued fractions
ICTP, Trieste, July 08 Gauss map ad cotiued fractios I this lecture we will itroduce the Gauss map, which is very importat for its coectio with cotiued fractios i umber theory. The Gauss map G : [0, ]
More informationMathematical Induction
Mathematical Iductio Itroductio Mathematical iductio, or just iductio, is a proof techique. Suppose that for every atural umber, P() is a statemet. We wish to show that all statemets P() are true. I a
More informationMath 609/597: Cryptography 1
Math 609/597: Cryptography 1 The Solovay-Strasse Primality Test 12 October, 1993 Burt Roseberg Revised: 6 October, 2000 1 Itroductio We describe the Solovay-Strasse primality test. There is quite a bit
More informationSignals and Systems. Problem Set: From Continuous-Time to Discrete-Time
Sigals ad Systems Problem Set: From Cotiuous-Time to Discrete-Time Updated: October 5, 2017 Problem Set Problem 1 - Liearity ad Time-Ivariace Cosider the followig systems ad determie whether liearity ad
More informationMathematical Foundation. CSE 6331 Algorithms Steve Lai
Mathematical Foudatio CSE 6331 Algorithms Steve Lai Complexity of Algorithms Aalysis of algorithm: to predict the ruig time required by a algorithm. Elemetary operatios: arithmetic & boolea operatios:
More informationSection 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 information11. FINITE FIELDS. Example 1: The following tables define addition and multiplication for a field of order 4.
11. FINITE FIELDS 11.1. A Field With 4 Elemets Probably the oly fiite fields which you ll kow about at this stage are the fields of itegers modulo a prime p, deoted by Z p. But there are others. Now although
More informationThe 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 informationMATH 112: HOMEWORK 6 SOLUTIONS. Problem 1: Rudin, Chapter 3, Problem s k < s k < 2 + s k+1
MATH 2: HOMEWORK 6 SOLUTIONS CA PRO JIRADILOK Problem. If s = 2, ad Problem : Rudi, Chapter 3, Problem 3. s + = 2 + s ( =, 2, 3,... ), prove that {s } coverges, ad that s < 2 for =, 2, 3,.... Proof. The
More informationHomework 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 informationIf we want to add up the area of four rectangles, we could find the area of each rectangle and then write this sum symbolically as:
Sigma Notatio: If we wat to add up the area of four rectagles, we could fid the area of each rectagle ad the write this sum symbolically as: Sum A A A A Liewise, the sum of the areas of te triagles could
More informationand each factor on the right is clearly greater than 1. which is a contradiction, so n must be prime.
MATH 324 Summer 200 Elemetary Number Theory Solutios to Assigmet 2 Due: Wedesday July 2, 200 Questio [p 74 #6] Show that o iteger of the form 3 + is a prime, other tha 2 = 3 + Solutio: If 3 + is a prime,
More informationSolutions to Problem Set 8
8.78 Solutios to Problem Set 8. We ow that ( ) ( + x) x. Now we plug i x, ω, ω ad add the three equatios. If 3 the we ll get a cotributio of + ω + ω + ω + ω 0, whereas if 3 we ll get a cotributio of +
More informationSequences, Sums, and Products
CSCE 222 Discrete Structures for Computig Sequeces, Sums, ad Products Dr. Philip C. Ritchey Sequeces A sequece is a fuctio from a subset of the itegers to a set S. A discrete structure used to represet
More informationMath 105 TOPICS IN MATHEMATICS REVIEW OF LECTURES VII. 7. Binomial formula. Three lectures ago ( in Review of Lectuires IV ), we have covered
Math 5 TOPICS IN MATHEMATICS REVIEW OF LECTURES VII Istructor: Lie #: 59 Yasuyuki Kachi 7 Biomial formula February 4 Wed) 5 Three lectures ago i Review of Lectuires IV ) we have covered / \ / \ / \ / \
More informationCS 171 Lecture Outline October 09, 2008
CS 171 Lecture Outlie October 09, 2008 The followig theorem comes very hady whe calculatig the expectatio of a radom variable that takes o o-egative iteger values. Theorem: Let Y be a radom variable that
More informationCHAPTER 10 INFINITE SEQUENCES AND SERIES
CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece
More informationBertrand s Postulate. Theorem (Bertrand s Postulate): For every positive integer n, there is a prime p satisfying n < p 2n.
Bertrad s Postulate Our goal is to prove the followig Theorem Bertrad s Postulate: For every positive iteger, there is a prime p satisfyig < p We remark that Bertrad s Postulate is true by ispectio for,,
More informationPower Series Expansions of Binomials
Power Series Expasios of Biomials S F Ellermeyer April 0, 008 We are familiar with expadig biomials such as the followig: ( + x) = + x + x ( + x) = + x + x + x ( + x) 4 = + 4x + 6x + 4x + x 4 ( + x) 5
More informationKinetics of Complex Reactions
Kietics of Complex Reactios by Flick Colema Departmet of Chemistry Wellesley College Wellesley MA 28 wcolema@wellesley.edu Copyright Flick Colema 996. All rights reserved. You are welcome to use this documet
More informationInverse Matrix. A meaning that matrix B is an inverse of matrix A.
Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix
More information3.2 Properties of Division 3.3 Zeros of Polynomials 3.4 Complex and Rational Zeros of Polynomials
Math 60 www.timetodare.com 3. Properties of Divisio 3.3 Zeros of Polyomials 3.4 Complex ad Ratioal Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered
More informationMathematics review for CSCI 303 Spring Department of Computer Science College of William & Mary Robert Michael Lewis
Mathematics review for CSCI 303 Sprig 019 Departmet of Computer Sciece College of William & Mary Robert Michael Lewis Copyright 018 019 Robert Michael Lewis Versio geerated: 13 : 00 Jauary 17, 019 Cotets
More informationLecture 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 informationCS583 Lecture 02. Jana Kosecka. some materials here are based on E. Demaine, D. Luebke slides
CS583 Lecture 02 Jaa Kosecka some materials here are based o E. Demaie, D. Luebke slides Previously Sample algorithms Exact ruig time, pseudo-code Approximate ruig time Worst case aalysis Best case aalysis
More informationMATH 324 Summer 2006 Elementary Number Theory Solutions to Assignment 2 Due: Thursday July 27, 2006
MATH 34 Summer 006 Elemetary Number Theory Solutios to Assigmet Due: Thursday July 7, 006 Departmet of Mathematical ad Statistical Scieces Uiversity of Alberta Questio [p 74 #6] Show that o iteger of the
More informationProof of Fermat s Last Theorem by Algebra Identities and Linear Algebra
Proof of Fermat s Last Theorem by Algebra Idetities ad Liear Algebra Javad Babaee Ragai Youg Researchers ad Elite Club, Qaemshahr Brach, Islamic Azad Uiversity, Qaemshahr, Ira Departmet of Civil Egieerig,
More informationCourse : 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 information1 Approximating Integrals using Taylor Polynomials
Seughee Ye Ma 8: Week 7 Nov Week 7 Summary This week, we will lear how we ca approximate itegrals usig Taylor series ad umerical methods. Topics Page Approximatig Itegrals usig Taylor Polyomials. Defiitios................................................
More information4 Mathematical Induction
4 Mathematical Iductio Examie the propositios for all, 1 + + ( + 1) + = for all, + 1 ( + 1) for all How do we prove them? They are statemets ivolvig a variable ruig through the ifiite set Strictly speakig,
More informationSOLVED 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(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3
MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special
More informationMa 530 Introduction to Power Series
Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power
More informationis also known as the general term of the sequence
Lesso : Sequeces ad Series Outlie Objectives: I ca determie whether a sequece has a patter. I ca determie whether a sequece ca be geeralized to fid a formula for the geeral term i the sequece. I ca determie
More informationLecture Notes 15 Hypothesis Testing (Chapter 10)
1 Itroductio Lecture Notes 15 Hypothesis Testig Chapter 10) Let X 1,..., X p θ x). Suppose we we wat to kow if θ = θ 0 or ot, where θ 0 is a specific value of θ. For example, if we are flippig a coi, we
More informationNUMERICAL METHODS FOR SOLVING EQUATIONS
Mathematics Revisio Guides Numerical Methods for Solvig Equatios Page 1 of 11 M.K. HOME TUITION Mathematics Revisio Guides Level: GCSE Higher Tier NUMERICAL METHODS FOR SOLVING EQUATIONS Versio:. Date:
More informationLangford s Problem. Moti Ben-Ari. Department of Science Teaching. Weizmann Institute of Science.
Lagford s Problem Moti Be-Ari Departmet of Sciece Teachig Weizma Istitute of Sciece http://www.weizma.ac.il/sci-tea/beari/ c 017 by Moti Be-Ari. This work is licesed uder the Creative Commos Attributio-ShareAlike
More information(b) What is the probability that a particle reaches the upper boundary n before the lower boundary m?
MATH 529 The Boudary Problem The drukard s walk (or boudary problem) is oe of the most famous problems i the theory of radom walks. Oe versio of the problem is described as follows: Suppose a particle
More informationSeunghee Ye Ma 8: Week 5 Oct 28
Week 5 Summary I Sectio, we go over the Mea Value Theorem ad its applicatios. I Sectio 2, we will recap what we have covered so far this term. Topics Page Mea Value Theorem. Applicatios of the Mea Value
More informationIntroduction to Algorithms
Itroductio to Algorithms 6.046J/8.40J LECTURE 9 Radomly built biary search trees Epected ode depth Aalyzig height Coveity lemma Jese s iequality Epoetial height Post mortem Pro. Eri Demaie October 7, 2005
More informationLecture 8: October 20, Applications of SVD: least squares approximation
Mathematical Toolkit Autum 2016 Lecturer: Madhur Tulsiai Lecture 8: October 20, 2016 1 Applicatios of SVD: least squares approximatio We discuss aother applicatio of sigular value decompositio (SVD) of
More informationINTEGRATION BY PARTS (TABLE METHOD)
INTEGRATION BY PARTS (TABLE METHOD) Suppose you wat to evaluate cos d usig itegratio by parts. Usig the u dv otatio, we get So, u dv d cos du d v si cos d si si d or si si d We see that it is ecessary
More informationFLOOR 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 information6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.
6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio
More informationContinued Fractions and Pell s Equation
Max Lah Joatha Spiegel May, 06 Abstract Cotiued fractios provide a useful, ad arguably more atural, way to uderstad ad represet real umbers as a alterative to decimal expasios I this paper, we eumerate
More informationLecture 9: Pseudo-random generators against space bounded computation,
Lecture 9: Pseudo-radom geerators agaist space bouded computatio, Primality Testig Topics i Pseudoradomess ad Complexity (Sprig 2018) Rutgers Uiversity Swastik Kopparty Scribes: Harsha Tirumala, Jiyu Zhag
More informationFirst, note that the LS residuals are orthogonal to the regressors. X Xb X y = 0 ( normal equations ; (k 1) ) So,
0 2. OLS Part II The OLS residuals are orthogoal to the regressors. If the model icludes a itercept, the orthogoality of the residuals ad regressors gives rise to three results, which have limited practical
More informationMath 220A Fall 2007 Homework #2. Will Garner A
Math 0A Fall 007 Homewor # Will Garer Pg 3 #: Show that {cis : a o-egative iteger} is dese i T = {z œ : z = }. For which values of q is {cis(q): a o-egative iteger} dese i T? To show that {cis : a o-egative
More informationSquare-Congruence Modulo n
Square-Cogruece Modulo Abstract This paper is a ivestigatio of a equivalece relatio o the itegers that was itroduced as a exercise i our Discrete Math class. Part I - Itro Defiitio Two itegers are Square-Cogruet
More informationAlgorithms and Data Structures Lecture IV
Algorithms ad Data Structures Lecture IV Simoas Šalteis Aalborg Uiversity simas@cs.auc.dk September 5, 00 1 This Lecture Aalyzig the ruig time of recursive algorithms (such as divide-ad-coquer) Writig
More informationRecursive Algorithms. Recurrences. Recursive Algorithms Analysis
Recursive Algorithms Recurreces Computer Sciece & Egieerig 35: Discrete Mathematics Christopher M Bourke cbourke@cseuledu A recursive algorithm is oe i which objects are defied i terms of other objects
More informationUSA Mathematical Talent Search Round 3 Solutions Year 27 Academic Year
/3/27. Fill i each space of the grid with either a or a so that all sixtee strigs of four cosecutive umbers across ad dow are distict. You do ot eed to prove that your aswer is the oly oe possible; you
More informationSequences. Notation. Convergence of a Sequence
Sequeces A sequece is essetially just a list. Defiitio (Sequece of Real Numbers). A sequece of real umbers is a fuctio Z (, ) R for some real umber. Do t let the descriptio of the domai cofuse you; it
More informationThe Binomial Theorem
The Biomial Theorem Lecture 47 Sectio 9.7 Robb T. Koether Hampde-Sydey College Fri, Apr 8, 204 Robb T. Koether (Hampde-Sydey College The Biomial Theorem Fri, Apr 8, 204 / 25 Combiatios 2 Pascal s Triagle
More information2 Banach spaces and Hilbert spaces
2 Baach spaces ad Hilbert spaces Tryig to do aalysis i the ratioal umbers is difficult for example cosider the set {x Q : x 2 2}. This set is o-empty ad bouded above but does ot have a least upper boud
More information6.3 Testing Series With Positive Terms
6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial
More informationCS 270 Algorithms. Oliver Kullmann. Growth of Functions. Divide-and- Conquer Min-Max- Problem. Tutorial. Reading from CLRS for week 2
Geeral remarks Week 2 1 Divide ad First we cosider a importat tool for the aalysis of algorithms: Big-Oh. The we itroduce a importat algorithmic paradigm:. We coclude by presetig ad aalysig two examples.
More informationInfinite Sequences and Series
Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet
More informationPolynomial Functions and Their Graphs
Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively
More informationComputing the output response of LTI Systems.
Computig the output respose of LTI Systems. By breaig or decomposig ad represetig the iput sigal to the LTI system ito terms of a liear combiatio of a set of basic sigals. Usig the superpositio property
More informationFermat s Little Theorem. mod 13 = 0, = }{{} mod 13 = 0. = a a a }{{} mod 13 = a 12 mod 13 = 1, mod 13 = a 13 mod 13 = a.
Departmet of Mathematical Scieces Istructor: Daiva Puciskaite Discrete Mathematics Fermat s Little Theorem 43.. For all a Z 3, calculate a 2 ad a 3. Case a = 0. 0 0 2-times Case a 0. 0 0 3-times a a 2-times
More informationProblem Set 1 Solutions
V R N N N R f ] R S Itroductio to Algorithms September 12, 2003 Massachusetts Istitute of echology 6046J/18410J rofessors Shafi Goldwasser ad Silvio Micali Hadout 7 roblem Set 1 Solutios roblem 1-1 Recurrece
More informationLecture 7: Properties of Random Samples
Lecture 7: Properties of Radom Samples 1 Cotiued From Last Class Theorem 1.1. Let X 1, X,...X be a radom sample from a populatio with mea µ ad variace σ
More informationAssignment 5: Solutions
McGill Uiversity Departmet of Mathematics ad Statistics MATH 54 Aalysis, Fall 05 Assigmet 5: Solutios. Let y be a ubouded sequece of positive umbers satisfyig y + > y for all N. Let x be aother sequece
More informationSigma notation. 2.1 Introduction
Sigma otatio. Itroductio We use sigma otatio to idicate the summatio process whe we have several (or ifiitely may) terms to add up. You may have see sigma otatio i earlier courses. It is used to idicate
More informationMA131 - Analysis 1. Workbook 10 Series IV
MA131 - Aalysis 1 Workbook 10 Series IV Autum 2004 Cotets 4.19 Rearragemets of Series...................... 1 4.19 Rearragemets of Series If you take ay fiite set of umbers ad rearrage their order, their
More informationMath 152. Rumbos Fall Solutions to Review Problems for Exam #2. Number of Heads Frequency
Math 152. Rumbos Fall 2009 1 Solutios to Review Problems for Exam #2 1. I the book Experimetatio ad Measuremet, by W. J. Youde ad published by the by the Natioal Sciece Teachers Associatio i 1962, the
More informationMath 451: Euclidean and Non-Euclidean Geometry MWF 3pm, Gasson 204 Homework 3 Solutions
Math 451: Euclidea ad No-Euclidea Geometry MWF 3pm, Gasso 204 Homework 3 Solutios Exercises from 1.4 ad 1.5 of the otes: 4.3, 4.10, 4.12, 4.14, 4.15, 5.3, 5.4, 5.5 Exercise 4.3. Explai why Hp, q) = {x
More informationLesson 10: Limits and Continuity
www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals
More informationThe 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