1 Solving Linear Recurrences
|
|
- Augusta Tucker
- 5 years ago
- Views:
Transcription
1 Solving Linear Recurrences Suppose we have a sequence a n defined by the formula The first couple terms of the sequence are a n = 3a n +, a 0 =, 4, 3, 40, 2,... Can you find a general closed for expression for the n th term of this sequence? One big method for dealing with problems of this sort is the method of generating functions. Generating functions let us associate a function to a sequence of numbers. Then, if we are lucky, properties of the sequence of numbers can be ascertained by analyzing the corresponding function. The simplest kind of generating function is called an ordinary generating function. Given a sequence a n, the corresponding OGF is the function a(z) = a 0 + a z + a 2 z 2 + a 3 z 3 + = a n z n Example a: The OGF for the constant sequence c n = is the function n=0 c(z) = + z + z 2 + z 3 + = z Example b: The OGF for the sequence { if n even E n = 0 if n odd is the function E(z) = + z 2 + z 4 + = z 2 Example c: The OGF for the sequence { if n odd O n = 0 if n even is the function O(z) = z + z 3 + z + = z z 2
2 Example d: Fix a number k. The OGF for the sequence K n = k n is the function K(z) = + kz + k 2 z 2 + k 3 z 3 + = kz Example e: The OGF for the sequence I n = n can be computed from what we already know. First, note that I(z) = 0 + z + 2 z z 3 + = z ( + 2z + 3z 2 + 4z ) The series is parenthesis is just the derivative of the function have ( ) d z I(z) = z = dz z ( z) 2 z. So altogether, we Now, let us return to the recurrence and see how generating functions can help us solve it. To begin, let us write the recurrence in an unusual way. The recurrence relation essentially claims that each one of the following sums is correct: 3a 0 3a 3a 2 3a a 0 a a 2 a 3 a 4... Generating functions let us turn this infinite sequence of claims into a single claim about functions. In particular, let us multiply the n th equation by z n to get 3a 0 z + 3a z 2 + 3a 2 z 3 + 3a 3 z z + z 2 + z 3 + z a 0 + a z + a 2 z 2 + a 3 z 3 + a 4 z Or, equivalently, 3z a(z) + z = a(z) It is simple enough to solve this equation for a(z), giving a(z) = ( z)( 3z) So, in some sense, we now have a formula for the n th term a n : it is just the n th coefficient in the power series of. In other words, ( z)( 3z) a n = ( d n n! dz n ( z)( 3z)) z=0 2
3 This is interesting, but maybe not so useful. After all, we probably don t want to compute 00 derivatives just to find a 00. However, we can do even more. If you recall the method of partial fractions, you will remember that we can write ( z)( 3z) = A z + B 3z for some numbers A and B. Cross multiplying, we find that A and B must satisfy = (A + B) z (3A + B) so that B = 3A and A + B =. Thus, A = /2 and B = 3/2. Altogether, we have now shown that a(z) = 3/2 3z /2 z But both of these functions are very simple! The n th coefficient of is just, while z the n th coefficient of is just 3z 3n. So altogether, the n th coefficint of a(z) must be a n = 3 2 3n 2 = 2 (3n+ ) Thus, for example, a 3 = (8 ) = 40 as previously computed. And we can easily 2 compute a 00 = (3 0 )/2. 2 Manipulating Generating Functions Let us write [f] n for the coefficient of z n in f(z). Then it is easy to verify the following facts:. If f(z) is the generating function for the sequence f n, then [f] n = f n. 2. If c is a number, then [cf] n = c[f] n. 3. [f + g] n = [f] n + [g] n. 4. [zf] n = [f] n. Thus, multiplying by z corresponds to the shift operator.. [ d dz f] n = (n + )[f] n+. 6. Combining the previous two, [z d f] dz n = n[f] n. Because of this, z d is called the dz number operator. Note that we used the number operator to find the generating function of I n = n from the generating function c n =. 3
4 Problem: Using these rules and series which you already know, find the generating function for the following sequences: a n = ( ) n b n = n + c n = 2n d n = n 2 e n = /n! f n = /(n + ) ( ) m g n = n Problem: Let f, g be functions. Find a formula to compute [fg] n. Problem: Use generating functions to re-derive the identity n k = k=0 n(n + ) 2 (Hint: if we call the sum on the right a n, then we have the recurrence a n = a n + n.) Use a similar technique to find a formula for k 2. 3 The Fibonacci Numbers As another extended example, let us consider the Fibonacci sequence F n. This sequence has the famous property that F n = F n + F n 2 with F 0 = F =. So we have an equation F 0 F F F 0 F F 2 F F 0 F F 2 F 3 F 4... Inserting powers of z to move into generating function land, this sum is equivalent to the statement z 2 F (z) + zf (z) + = F (z) 4
5 Solving for F (z), we get F (z) = z z 2 Let us use partial fractions to break this function up and (hopefully) find a simple expression for F n. The roots of z z 2 are Φ = 2 2, φ = 2 2 Note for later that Φ φ = and Φ + φ =. We want a partial fraction expansion of the form z z = A 2 z + Φ + B φ z So we have A(φ z)+b(z+φ) =, which implies that A = B and A = (φ+φ) = /. Thus, we have a partial fractions decomposition of the Fibonacci generating function: F (z) = ( z + Φ + ) φ z Let us manipulate the inner fractions a bit so that they look like the sums of geometric series: F (z) = ( /Φ + z/φ + /φ ) z/φ Altogether, this gives us the surprising closed form expression F n = ( ) φ + n+ ( )n = ( Φ n+ + ( ) n φ n+) Φ n+ In fact, since φ < we get the very simple yet accurate approximation F n Φn+ For example, Φ 0 / = , and F 49 = From this, we can also immediately see the famous relationship between ratios of Fibonacci numbers and the golden ratio, namely lim F n/f n = Φ n
6 4 Constructing Recurrence Relations Problem: Let f n be the number of ways to partition a row of n dots into ones and twos. For example, f 4 = because can be partitioned as follows: Find the generating function f(z). Problem: Let p n be the number of n-step paths in the plane, starting at (0, 0), where each step is either of the form (, 0), (0, ) or (0, ) and a path is not allowed to intersect itself.. Find a recurrence relation satisfied by the p n. Hint: you should be able to find a relation between p n, p n and p n Starting from the recurrence relation, find the generating function p(z). 3. Using the method of partial fractions on p(z), find an explicit expression for p n. 4. What is the probability that a random path of length n, using the steps (, 0), (0, ), or (0, ), does not intersect itself? Problem: Suppose that f n is a sequence which satisfies the linear recurrence where the c i are constants. c 0 f n + c f n + c 2 f n c k f n k. Show that the generating function f(z) is a rational function with denominator Q(z) = c 0 + c z + c 2 z c k z k Show that the degree of the numerator is less than k. 2. Now show the converse; if f(z) is a rational function P (z)/q(z) with deg P < deg Q then [f] n satisfies the recurrence determined by Q. 6
7 Problem: Given a sequence a n, define a new sequence σ a n by σ a n = n k=0 a n Find the generating function σ a (z) in terms of a(z). Then, show that the Fibonacci numbers satisfy F 0 + F + F F n = F n+2 Problem: A derangement is a permutation with no fixed points. Let D n denote the number ) of derangements of n objects. Give a combinatorial proof that n! = Dn k. Interpret this identity with exponential generating functions to find n ( n k=0 k the generating function D(z). 7
Generating Functions
Semester 1, 2004 Generating functions Another means of organising enumeration. Two examples we have seen already. Example 1. Binomial coefficients. Let X = {1, 2,..., n} c k = # k-element subsets of X
More informationReview problems solutions
Review problems solutions Math 3152 December 15, 2017 1. Use the binomial theorem to prove that, for all n 1 and k satisfying 0 k n, ( )( ) { n i ( 1) i k 1 if k n; i k 0 otherwise. ik Solution: Using
More informationNotes by Zvi Rosen. Thanks to Alyssa Palfreyman for supplements.
Lecture: Hélène Barcelo Analytic Combinatorics ECCO 202, Bogotá Notes by Zvi Rosen. Thanks to Alyssa Palfreyman for supplements.. Tuesday, June 2, 202 Combinatorics is the study of finite structures that
More informationMath 61CM - Solutions to homework 2
Math 61CM - Solutions to homework 2 Cédric De Groote October 5 th, 2018 Problem 1: Let V be the vector space of polynomials of degree at most 5, with coefficients in a field F Let U be the subspace of
More informationand the compositional inverse when it exists is A.
Lecture B jacques@ucsd.edu Notation: R denotes a ring, N denotes the set of sequences of natural numbers with finite support, is a generic element of N, is the infinite zero sequence, n 0 R[[ X]] denotes
More informationWorking with Square Roots. Return to Table of Contents
Working with Square Roots Return to Table of Contents 36 Square Roots Recall... * Teacher Notes 37 Square Roots All of these numbers can be written with a square. Since the square is the inverse of the
More informationGenerating Functions
8.30 lecture notes March, 0 Generating Functions Lecturer: Michel Goemans We are going to discuss enumeration problems, and how to solve them using a powerful tool: generating functions. What is an enumeration
More informationStat 134 Fall 2011: Notes on generating functions
Stat 3 Fall 0: Notes on generating functions Michael Lugo October, 0 Definitions Given a random variable X which always takes on a positive integer value, we define the probability generating function
More informationPower series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) a n z n. n=0
Lecture 22 Power series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) Recall a few facts about power series: a n z n This series in z is centered at z 0. Here z can
More informationCSCE 222 Discrete Structures for Computing. Dr. Hyunyoung Lee
CSCE 222 Discrete Structures for Computing Sequences and Summations Dr. Hyunyoung Lee Based on slides by Andreas Klappenecker 1 Sequences 2 Sequences A sequence is a function from a subset of the set of
More informationLECTURE-13 : GENERALIZED CAUCHY S THEOREM
LECTURE-3 : GENERALIZED CAUCHY S THEOREM VED V. DATAR The aim of this lecture to prove a general form of Cauchy s theorem applicable to multiply connected domains. We end with computations of some real
More informationMath 192r, Problem Set #3: Solutions
Math 192r Problem Set #3: Solutions 1. Let F n be the nth Fibonacci number as Wilf indexes them (with F 0 F 1 1 F 2 2 etc.). Give a simple homogeneous linear recurrence relation satisfied by the sequence
More informationAssignment 16 Assigned Weds Oct 11
Assignment 6 Assigned Weds Oct Section 8, Problem 3 a, a 3, a 3 5, a 4 7 Section 8, Problem 4 a, a 3, a 3, a 4 3 Section 8, Problem 9 a, a, a 3, a 4 4, a 5 8, a 6 6, a 7 3, a 8 64, a 9 8, a 0 56 Section
More informationMATH39001 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 informationGenerating Function Notes , Fall 2005, Prof. Peter Shor
Counting Change Generating Function Notes 80, Fall 00, Prof Peter Shor In this lecture, I m going to talk about generating functions We ve already seen an example of generating functions Recall when we
More informationNotes on Continued Fractions for Math 4400
. Continued fractions. Notes on Continued Fractions for Math 4400 The continued fraction expansion converts a positive real number α into a sequence of natural numbers. Conversely, a sequence of natural
More informationTopics in Algorithms. 1 Generation of Basic Combinatorial Objects. Exercises. 1.1 Generation of Subsets. 1. Consider the sum:
Topics in Algorithms Exercises 1 Generation of Basic Combinatorial Objects 1.1 Generation of Subsets 1. Consider the sum: (ε 1,...,ε n) {0,1} n f(ε 1,..., ε n ) (a) Show that it may be calculated in O(n)
More information1 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 informationMA008/MIIZ01 Design and Analysis of Algorithms Lecture Notes 3
MA008 p.1/37 MA008/MIIZ01 Design and Analysis of Algorithms Lecture Notes 3 Dr. Markus Hagenbuchner markus@uow.edu.au. MA008 p.2/37 Exercise 1 (from LN 2) Asymptotic Notation When constants appear in exponents
More information1 Examples of Weak Induction
More About Mathematical Induction Mathematical induction is designed for proving that a statement holds for all nonnegative integers (or integers beyond an initial one). Here are some extra examples of
More informationSequences of Real Numbers
Chapter 8 Sequences of Real Numbers In this chapter, we assume the existence of the ordered field of real numbers, though we do not yet discuss or use the completeness of the real numbers. In the next
More informationMathematics 350: Problems to Study Solutions
Mathematics 350: Problems to Study Solutions April 25, 206. A Laurent series for cot(z centered at z 0 i converges in the annulus {z : < z i < R}. What is the largest possible value of R? Solution: The
More informationNotes on generating functions in automata theory
Notes on generating functions in automata theory Benjamin Steinberg December 5, 2009 Contents Introduction: Calculus can count 2 Formal power series 5 3 Rational power series 9 3. Rational power series
More informationHomework #2 solutions Due: June 15, 2012
All of the following exercises are based on the material in the handout on integers found on the class website. 1. Find d = gcd(475, 385) and express it as a linear combination of 475 and 385. That is
More informationRecurrence relations. Warm-up: The Fibonacci sequence
1 Recurrence relations Warm-up: The Fibonacci sequence The Fibonacci sequence is the sequence f n satisfying f 0 = 0, f 1 = 1 f n+2 = f n + f n+1 0,1,1,2,3,,8,13,21,34,,... Such an expression for a term
More informationEECS 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 informationCHAPTER 1 Systems of Linear Equations
CHAPTER Systems of Linear Equations Section. Introduction to Systems of Linear Equations. Because the equation is in the form a x a y b, it is linear in the variables x and y. 0. Because the equation cannot
More informationChapter 5 Exercises. (a) Determine the best possible Lipschitz constant for this function over 2 u <. u (t) = log(u(t)), u(0) = 2.
Chapter 5 Exercises From: Finite Difference Methods for Ordinary and Partial Differential Equations by R. J. LeVeque, SIAM, 2007. http://www.amath.washington.edu/ rjl/fdmbook Exercise 5. (Uniqueness for
More informationF 2k 1 = F 2n. for all positive integers n.
Question 1 (Fibonacci Identity, 15 points). Recall that the Fibonacci numbers are defined by F 1 = F 2 = 1 and F n+2 = F n+1 + F n for all n 0. Prove that for all positive integers n. n F 2k 1 = F 2n We
More informationAdvanced Counting Techniques. Chapter 8
Advanced Counting Techniques Chapter 8 Chapter Summary Applications of Recurrence Relations Solving Linear Recurrence Relations Homogeneous Recurrence Relations Nonhomogeneous Recurrence Relations Divide-and-Conquer
More informationLocal dynamics of holomorphic maps
5 Local dynamics of holomorphic maps In this chapter we study the local dynamics of a holomorphic map near a fixed point. The setting will be the following. We have a holomorphic map defined in a neighbourhood
More informationMath 421 Midterm 2 review questions
Math 42 Midterm 2 review questions Paul Hacking November 7, 205 () Let U be an open set and f : U a continuous function. Let be a smooth curve contained in U, with endpoints α and β, oriented from α to
More informationFall 2017 Test II review problems
Fall 2017 Test II review problems Dr. Holmes October 18, 2017 This is a quite miscellaneous grab bag of relevant problems from old tests. Some are certainly repeated. 1. Give the complete addition and
More informationGenerating Functions (Revised Edition)
Math 700 Fall 06 Notes Generating Functions (Revised Edition What is a generating function? An ordinary generating function for a sequence (a n n 0 is the power series A(x = a nx n. The exponential generating
More informationDerangements with an additional restriction (and zigzags)
Derangements with an additional restriction (and zigzags) István Mező Nanjing University of Information Science and Technology 2017. 05. 27. This talk is about a class of generalized derangement numbers,
More informationCDM. Recurrences and Fibonacci. 20-fibonacci 2017/12/15 23:16. Terminology 4. Recurrence Equations 3. Solution and Asymptotics 6.
CDM Recurrences and Fibonacci 1 Recurrence Equations Klaus Sutner Carnegie Mellon University Second Order 20-fibonacci 2017/12/15 23:16 The Fibonacci Monoid Recurrence Equations 3 Terminology 4 We can
More information4. Linear transformations as a vector space 17
4 Linear transformations as a vector space 17 d) 1 2 0 0 1 2 0 0 1 0 0 0 1 2 3 4 32 Let a linear transformation in R 2 be the reflection in the line = x 2 Find its matrix 33 For each linear transformation
More informationLINEAR RECURSIVE SEQUENCES. The numbers in the sequence are called its terms. The general form of a sequence is
LINEAR RECURSIVE SEQUENCES BJORN POONEN 1. Sequences A sequence is an infinite list of numbers, like 1) 1, 2, 4, 8, 16, 32,.... The numbers in the sequence are called its terms. The general form of a sequence
More informationMATH 324 Summer 2011 Elementary Number Theory. Notes on Mathematical Induction. Recall the following axiom for the set of integers.
MATH 4 Summer 011 Elementary Number Theory Notes on Mathematical Induction Principle of Mathematical Induction Recall the following axiom for the set of integers. Well-Ordering Axiom for the Integers If
More informationMath 425 Fall All About Zero
Math 425 Fall 2005 All About Zero These notes supplement the discussion of zeros of analytic functions presented in 2.4 of our text, pp. 127 128. Throughout: Unless stated otherwise, f is a function analytic
More informationMath 324 Summer 2012 Elementary Number Theory Notes on Mathematical Induction
Math 4 Summer 01 Elementary Number Theory Notes on Mathematical Induction Principle of Mathematical Induction Recall the following axiom for the set of integers. Well-Ordering Axiom for the Integers If
More informationThe solutions to the two examples above are the same.
One-to-one correspondences A function f : A B is one-to-one if f(x) = f(y) implies that x = y. A function f : A B is onto if for any element b in B there is an element a in A such that f(a) = b. A function
More informationMAT115A-21 COMPLETE LECTURE NOTES
MAT115A-21 COMPLETE LECTURE NOTES NATHANIEL GALLUP 1. Introduction Number theory begins as the study of the natural numbers the integers N = {1, 2, 3,...}, Z = { 3, 2, 1, 0, 1, 2, 3,...}, and sometimes
More informationAdvanced Counting Techniques
. All rights reserved. Authorized only for instructor use in the classroom. No reproduction or further distribution permitted without the prior written consent of McGraw-Hill Education. Advanced Counting
More informationare 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 information7 Asymptotics for Meromorphic Functions
Lecture G jacques@ucsd.edu 7 Asymptotics for Meromorphic Functions Hadamard s Theorem gives a broad description of the exponential growth of coefficients in power series, but the notion of exponential
More informationLECTURE Questions 1
Contents 1 Questions 1 2 Reality 1 2.1 Implementing a distribution generator.............................. 1 2.2 Evaluating the generating function from the series expression................ 2 2.3 Finding
More informationCHAPTER 3. Sequences. 1. Basic Properties
CHAPTER 3 Sequences We begin our study of analysis with sequences. There are several reasons for starting here. First, sequences are the simplest way to introduce limits, the central idea of calculus.
More informationIntroduction to Techniques for Counting
Introduction to Techniques for Counting A generating function is a device somewhat similar to a bag. Instead of carrying many little objects detachedly, which could be embarrassing, we put them all in
More information1 Holomorphic functions
Robert Oeckl CA NOTES 1 15/09/2009 1 1 Holomorphic functions 11 The complex derivative The basic objects of complex analysis are the holomorphic functions These are functions that posses a complex derivative
More informationMathematical Background. e x2. log k. a+b a + b. Carlos Moreno uwaterloo.ca EIT e π i 1 = 0.
Mathematical Background Carlos Moreno cmoreno @ uwaterloo.ca EIT-4103 N k=0 log k 0 e x2 e π i 1 = 0 dx a+b a + b https://ece.uwaterloo.ca/~cmoreno/ece250 Mathematical Background Standard reminder to set
More information2.3 Lecture 5: polynomials and rational functions
98 CHAPTER 2 CHAPTER II Equivalently, the limit of the modulus of this complex number is zero And since the modulus of a quotient of complex numbers is the quotient of the moduli of those numbers, we can
More informationChapter Generating Functions
Chapter 8.1.1-8.1.2. Generating Functions Prof. Tesler Math 184A Fall 2017 Prof. Tesler Ch. 8. Generating Functions Math 184A / Fall 2017 1 / 63 Ordinary Generating Functions (OGF) Let a n (n = 0, 1,...)
More informationLesson 12.7: Sequences and Series
Lesson 12.7: Sequences and Series May 30 7:11 AM Sequences Definition: A sequence is a set of numbers in a specific order. 2, 5, 8,. is an example of a sequence. Note: A sequence may have either a finite
More informationRiemann sphere and rational maps
Chapter 3 Riemann sphere and rational maps 3.1 Riemann sphere It is sometimes convenient, and fruitful, to work with holomorphic (or in general continuous) functions on a compact space. However, we wish
More informationMAT389 Fall 2016, Problem Set 11
MAT389 Fall 216, Problem Set 11 Improper integrals 11.1 In each of the following cases, establish the convergence of the given integral and calculate its value. i) x 2 x 2 + 1) 2 ii) x x 2 + 1)x 2 + 2x
More informationSample PROGRESSION. Chapter 1 Complex numbers. Edexcel AS and A level Further Mathematics NEW FOR. Core Pure Mathematics.
11-19 ROGRSSION Sample Chapter 1 NW FOR 017 dexcel AS and A level Further Mathematics Core ure Mathematics Book 1/AS dexcel AS and A level Further Mathematics 1 Sample material Objectives Understand and
More information21.4. Engineering Applications of z-transforms. Introduction. Prerequisites. Learning Outcomes
Engineering Applications of z-transforms 21.4 Introduction In this Section we shall apply the basic theory of z-transforms to help us to obtain the response or output sequence for a discrete system. This
More informationCDM. Recurrences and Fibonacci
CDM Recurrences and Fibonacci Klaus Sutner Carnegie Mellon University 20-fibonacci 2017/12/15 23:16 1 Recurrence Equations Second Order The Fibonacci Monoid Recurrence Equations 3 We can define a sequence
More informationThe kappa function. [ a b. c d
The kappa function Masanobu KANEKO Masaaki YOSHIDA Abstract: The kappa function is introduced as the function κ satisfying Jκτ)) = λτ), where J and λ are the elliptic modular functions. A Fourier expansion
More informationConsidering our result for the sum and product of analytic functions, this means that for (a 0, a 1,..., a N ) C N+1, the polynomial.
Lecture 3 Usual complex functions MATH-GA 245.00 Complex Variables Polynomials. Construction f : z z is analytic on all of C since its real and imaginary parts satisfy the Cauchy-Riemann relations and
More informationMath 2 Variable Manipulation Part 2 Powers & Roots PROPERTIES OF EXPONENTS:
Math 2 Variable Manipulation Part 2 Powers & Roots PROPERTIES OF EXPONENTS: 1 EXPONENT REVIEW PROBLEMS: 2 1. 2x + x x + x + 5 =? 2. (x 2 + x) (x + 2) =?. The expression 8x (7x 6 x 5 ) is equivalent to?.
More information1 Sequences and Summation
1 Sequences and Summation A sequence is a function whose domain is either all the integers between two given integers or all the integers greater than or equal to a given integer. For example, a m, a m+1,...,
More informationCounting on Continued Fractions
appeared in: Mathematics Magazine 73(2000), pp. 98-04. Copyright the Mathematical Association of America 999. All rights reserved. Counting on Continued Fractions Arthur T. Benjamin Francis Edward Su Harvey
More informationDiscrete Structures Lecture Sequences and Summations
Introduction Good morning. In this section we study sequences. A sequence is an ordered list of elements. Sequences are important to computing because of the iterative nature of computer programs. The
More informationA Number Theorist s Perspective on Dynamical Systems
A Number Theorist s Perspective on Dynamical Systems Joseph H. Silverman Brown University Frontier Lectures Texas A&M, Monday, April 4 7, 2005 Rational Functions and Dynamical Systems
More informationFibonacci numbers. Chapter The Fibonacci sequence. The Fibonacci numbers F n are defined recursively by
Chapter Fibonacci numbers The Fibonacci sequence The Fibonacci numbers F n are defined recursively by F n+ = F n + F n, F 0 = 0, F = The first few Fibonacci numbers are n 0 5 6 7 8 9 0 F n 0 5 8 55 89
More informationMath Homework 2
Math 73 Homework Due: September 8, 6 Suppose that f is holomorphic in a region Ω, ie an open connected set Prove that in any of the following cases (a) R(f) is constant; (b) I(f) is constant; (c) f is
More informationAlgorithms CMSC The Method of Reverse Inequalities: Evaluation of Recurrent Inequalities
Algorithms CMSC 37000 The Method of Reverse Inequalities: Evaluation of Recurrent Inequalities László Babai Updated 1-19-2014 In this handout, we discuss a typical situation in the analysis of algorithms:
More informationInstructional Unit Conic Sections Pre Calculus #312 Unit Content Objective Performance Performance Task State Standards
Instructional Unit Conic Sections Conic Sections The student will be -Define conic sections -Homework 2.8.11E -Ellipses able to create conic as conic slices and -Classwork -Hyperbolas sections based on
More informationQualifying Exam Complex Analysis (Math 530) January 2019
Qualifying Exam Complex Analysis (Math 53) January 219 1. Let D be a domain. A function f : D C is antiholomorphic if for every z D the limit f(z + h) f(z) lim h h exists. Write f(z) = f(x + iy) = u(x,
More informationApplications. More Counting Problems. Complexity of Algorithms
Recurrences Applications More Counting Problems Complexity of Algorithms Part I Recurrences and Binomial Coefficients Paths in a Triangle P(0, 0) P(1, 0) P(1,1) P(2, 0) P(2,1) P(2, 2) P(3, 0) P(3,1) P(3,
More informationLecture 10: Powers of Matrices, Difference Equations
Lecture 10: Powers of Matrices, Difference Equations Difference Equations A difference equation, also sometimes called a recurrence equation is an equation that defines a sequence recursively, i.e. each
More informationSummation of certain infinite Fibonacci related series
arxiv:52.09033v (30 Dec 205) Summation of certain infinite Fibonacci related series Bakir Farhi Laboratoire de Mathématiques appliquées Faculté des Sciences Exactes Université de Bejaia 06000 Bejaia Algeria
More informationCombinatorial Analysis of the Geometric Series
Combinatorial Analysis of the Geometric Series David P. Little April 7, 205 www.math.psu.edu/dlittle Analytic Convergence of a Series The series converges analytically if and only if the sequence of partial
More information2 Complex Functions and the Cauchy-Riemann Equations
2 Complex Functions and the Cauchy-Riemann Equations 2.1 Complex functions In one-variable calculus, we study functions f(x) of a real variable x. Likewise, in complex analysis, we study functions f(z)
More informationCombinatorial Enumeration. Jason Z. Gao Carleton University, Ottawa, Canada
Combinatorial Enumeration Jason Z. Gao Carleton University, Ottawa, Canada Counting Combinatorial Structures We are interested in counting combinatorial (discrete) structures of a given size. For example,
More informationComplex functions, single and multivalued.
Complex functions, single and multivalued. D. Craig 2007 03 27 1 Single-valued functions All of the following functions can be defined via power series which converge for the entire complex plane, and
More information56 CHAPTER 3. POLYNOMIAL FUNCTIONS
56 CHAPTER 3. POLYNOMIAL FUNCTIONS Chapter 4 Rational functions and inequalities 4.1 Rational functions Textbook section 4.7 4.1.1 Basic rational functions and asymptotes As a first step towards understanding
More informationChapter 11 - Sequences and Series
Calculus and Analytic Geometry II Chapter - Sequences and Series. Sequences Definition. A sequence is a list of numbers written in a definite order, We call a n the general term of the sequence. {a, a
More informationAdding and Subtracting Terms
Adding and Subtracting Terms 1.6 OBJECTIVES 1.6 1. Identify terms and like terms 2. Combine like terms 3. Add algebraic expressions 4. Subtract algebraic expressions To find the perimeter of (or the distance
More informationMath 40510, Algebraic Geometry
Math 40510, Algebraic Geometry Problem Set 1, due February 10, 2016 1. Let k = Z p, the field with p elements, where p is a prime. Find a polynomial f k[x, y] that vanishes at every point of k 2. [Hint:
More informationLAURENT SERIES AND SINGULARITIES
LAURENT SERIES AND SINGULARITIES Introduction So far we have studied analytic functions Locally, such functions are represented by power series Globally, the bounded ones are constant, the ones that get
More informationMATH 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 information1 (t + 4)(t 1) dt. Solution: The denominator of the integrand is already factored with the factors being distinct, so 1 (t + 4)(t 1) = A
Calculus Topic: Integration of Rational Functions Section 8. # 0: Evaluate the integral (t + )(t ) Solution: The denominator of the integrand is already factored with the factors being distinct, so (t
More informationCMSC Discrete Mathematics SOLUTIONS TO FIRST MIDTERM EXAM October 18, 2005 posted Nov 2, 2005
CMSC-37110 Discrete Mathematics SOLUTIONS TO FIRST MIDTERM EXAM October 18, 2005 posted Nov 2, 2005 Instructor: László Babai Ryerson 164 e-mail: laci@cs This exam contributes 20% to your course grade.
More informationSUMMATION TECHNIQUES
SUMMATION TECHNIQUES MATH 53, SECTION 55 (VIPUL NAIK) Corresponding material in the book: Scattered around, but the most cutting-edge parts are in Sections 2.8 and 2.9. What students should definitely
More informationDistribution of the Longest Gap in Positive Linear Recurrence Sequences
Distribution of the Longest Gap in Positive Linear Recurrence Sequences Shiyu Li 1, Philip Tosteson 2 Advisor: Steven J. Miller 2 1 University of California, Berkeley 2 Williams College http://www.williams.edu/mathematics/sjmiller/
More informationLECTURE 5, FRIDAY
LECTURE 5, FRIDAY 20.02.04 FRANZ LEMMERMEYER Before we start with the arithmetic of elliptic curves, let us talk a little bit about multiplicities, tangents, and singular points. 1. Tangents How do we
More informationSection 1.1 Notes. Real Numbers
Section 1.1 Notes Real Numbers 1 Types of Real Numbers The Natural Numbers 1,,, 4, 5, 6,... These are also sometimes called counting numbers. Denoted by the symbol N Integers..., 6, 5, 4,,, 1, 0, 1,,,
More informationUNIT 3. Rational Functions Limits at Infinity (Horizontal and Slant Asymptotes) Infinite Limits (Vertical Asymptotes) Graphing Rational Functions
UNIT 3 Rational Functions Limits at Infinity (Horizontal and Slant Asymptotes) Infinite Limits (Vertical Asymptotes) Graphing Rational Functions Recall From Unit Rational Functions f() is a rational function
More informationAdvanced Training Course on FPGA Design and VHDL for Hardware Simulation and Synthesis
065-3 Advanced Training Course on FPGA Design and VHDL for Hardware Simulation and Synthesis 6 October - 0 November, 009 Digital Signal Processing The z-transform Massimiliano Nolich DEEI Facolta' di Ingegneria
More informationMath 110 HW 3 solutions
Math 0 HW 3 solutions May 8, 203. For any positive real number r, prove that x r = O(e x ) as functions of x. Suppose r
More informationSECTION 9.2: ARITHMETIC SEQUENCES and PARTIAL SUMS
(Chapter 9: Discrete Math) 9.11 SECTION 9.2: ARITHMETIC SEQUENCES and PARTIAL SUMS PART A: WHAT IS AN ARITHMETIC SEQUENCE? The following appears to be an example of an arithmetic (stress on the me ) sequence:
More informationDISCRETE AND ALGEBRAIC STRUCTURES
DISCRETE AND ALGEBRAIC STRUCTURES Master Study Mathematics MAT40 Winter Semester 015/16 (Due to organisational reasons register for the course at TU and KFU) Edited by Mihyun Kang TU Graz Contents I Lectures
More informationSpaces of Weakly Holomorphic Modular Forms in Level 52. Daniel Meade Adams
Spaces of Weakly Holomorphic Modular Forms in Level 52 Daniel Meade Adams A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master
More informationReview problems for MA 54, Fall 2004.
Review problems for MA 54, Fall 2004. Below are the review problems for the final. They are mostly homework problems, or very similar. If you are comfortable doing these problems, you should be fine on
More informationGenerating Functions of Partitions
CHAPTER B Generating Functions of Partitions For a complex sequence {α n n 0,, 2, }, its generating function with a complex variable q is defined by A(q) : α n q n α n [q n ] A(q). When the sequence has
More informationADDITIONAL NOTES. 3 Surjections 6
Contents Labelling Atoms. Well-labelling............................................. The Exponential Generating Function egf............................3 Examples................................................
More informationMath 3361-Modern Algebra Lecture 08 9/26/ Cardinality
Math 336-Modern Algebra Lecture 08 9/26/4. Cardinality I started talking about cardinality last time, and you did some stuff with it in the Homework, so let s continue. I said that two sets have the same
More information