Irrational Base Counting

Size: px
Start display at page:

Download "Irrational Base Counting"

Transcription

1 arxiv:5.79v [math.nt] 5 Apr 7 Department of Mathematics Brandeis University, Waltham MA abourla@brandeis.edu June 3, 8 Abstract We will provide algorithmic implementation with proofs of existence and uniqueness for the absolute and alternating irrational base numeration systems. Introduction We can view a positive integer written in our familiar base numeration system as the dot product of a finite sequence of digits (d k ) l {,,..., 9} and the infinite base vector ( k ) truncated to the l position. For instance when l = 3 and (d k := k) 3, we have l d k k = (,, 3) ( k ) = = 3. k= After taking zero as the vacuous expansion obtained when l = and allowing the infinite base vector to alternate in sign as (( ) k ), we can expand all integers base ( ). For instance, 3 = (9, 3, 7, ) (( ) k ) 3, whereas 3 is now given the new digit representation (, 8, 4). We can similarly obtain integer expansions for all fix radix base n systems. In this paper, we how show how to expand integers as a dot product using an irrational base. The idea behind these expansions date back to Ostrowski [3], who used the continued fraction expansion as a tool in inhomogeneous Diophantine Approximation. After fixing the base α (, )\Q, we expand it as an infinite continued fraction α = a + a + a ,

2 obtaining the unique sequence of partial quotients (a k ) (for details refer to any of the standard introductions [, ]). Truncating the iteration after k steps yields the convergent p k q k := a + a a k We will utilize the sequence of denominators (q k ) as the infinite base (α) vector and the alternating sequence (( ) k q k ) as the base ( α) vector, providing rigorous proofs of existence as well as concrete algorithmic realization and some counting examples. We end this section by quoting the well known recursion equation After we define q :=, q :=, q k = a k q k + q k k. () q k := ( ) k q k, k, () we use this relationship to obtain the new recursion equation q :=, q :=, q k = q k a k q k, k. (3) The Base α Expansion. Algorithm and proof The base α expansion is of the dot product of the sequence of digits (c k ) l, where l N and the infinite sequence (q k ) truncated to the l position. We say that the digit sequence (c k ) N is α admissible when it satisfies the following Markov conditions: c a and c k a k for k, not all zeros. If c k = a k then c k =. Theorem.. For every N N there exists l and a unique α admissible sequence of digits (c k ) l such that N = l k= c kq k. Proof. Apply the algorithm:

3 Algorithm : Natural Expansion input : α (, )\Q, N N output: l N, (c k ) l α admissible set N := N, m = n := ; while N m do 3 let n m be such that q nm N m < q nm ; 4 set c nm := N m /q nm ; 5 set N m+ := N m c nm q nm ; 6 set m := m + ; 7 end 8 set M := m, l := n, c k := for all k / {n m } M ; When N =, we have l = n = and the expansion is vacuous. Whenever N m, we see that since q = by definition (), the assignment of step 3 and the step 4 guarantees that n m and that c nm. (4) After we rewrite the assignment of line 4 as the inequality c nm q nm N m < (c nm + )q nm, (5) we observe that, in tandem with the assignment of line-5, we are applying the euclidean algorithm as the repeated integer division of N m by q nm resulting in a quotient c nm and remainder N m+. Thus we must have N m+ < N m N, that is, this iteration scheme must eventually terminate with a finite positive value M, yielding the sequences = N M < N M <... < N = N, n M <... < n < n = l and (c nm ) M m=. For all k l with k / {n m } M we define c k := and then, using the assignment of step 6, we obtain the desired expansion N = N = c n q n + N = c n q n + c n q n + N =... = M m= c nm q nm = l c k q k. k= Furthermore, the uniqueness of the quotient and the remainder terms in the division algorithm guarantees the uniqueness of this expansion. If M is such that n M then c = and if n M =, we use the fact that q = and the inequality (5) to verify that c = c q N < q = a. Conclude that c a as desired. If for some m we have in step that c nm a nm +, then the recursion formula (), the inequality (5) and the fact that the sequence (q k ) is strictly increasing will lead us to the contradiction N m < q nm = a nm q nm + q nm < (a nm + )q nm c nm q nm N m. 3

4 Therefore, for all k we must have c k a k. Next, suppose by contradiction that c k = a k and c k. Since c k = a k, we see from the inequality (4) that there is some m for which n m = k. The the recursion formula (), the inequality (5) and the assignment of line 5 will now leads us to the contradiction N m < q nm = q k < q k = q k N m+ + N m+ q k c nm+q nm + N m+ q k c k q k + N m+ = q k a k q k + N m+ = q k + N m+ c k q k + N m+ = c nm q nm + N m+ = N m.. Examples When α :=.5(5.5 ) = is the golden section, we have {a k } = {}. We then use formula () to verify that the sequence (q k ) is no other than the Fibonacci Sequence (F k ) := (,,, 3, 5, 8, 3,...). The implication of the proposition to this case is the Zeckendorf Theorem, which states that every positive integer can be uniquely written as the sum of nonconsecutive terms in (F k ). When α := = is the sliver section, we have {a k } = {}. By formula (), we verify that (q k ) 3 = (,, 5, ). The following tables display how the digits behave when we count to twenty four using this base: q 3 = q = 5 q = q = N c 4 c 3 c c q 3 = q = 5 q = q = N c 4 c 3 c c

5 3 The Base (-α) Expansion 3. Algorithm and proof The base ( α) expansion is of the dot product of the sequence of digits (b k ) l, where l N and the infinite sequence (qk ) truncated to the l position. We say that the digit sequence (b k ) N is ( α) admissible when: b k a k not all zeros. If b k = a k then b k+ =. Theorem 3.. For every integer Z there is some l and a unique ( α) admissible sequence of digits (b k ) l such that Z = l k= b kq k. Proof. We let I R be the indicator function for the relationship R and apply the algorithm: Algorithm : Integer Expansion input : Z Z, α (, )\Q output: l N, (b k ) l ( α) admissible set Z := Z, m = b = n := ; while Z m do 3 let n m be such that q n m < Z m + I < (Z m ) q n m ; 4 let n m {n m, n m + } be such that I > (( ) nm Z m ) = ; 5 if n m = n m then 6 set b n m := Z m /q nm ; 7 if Z m b n m q n m + I < (Z m b n m q n m ) > q nm then 8 set b nm := b n m + ; 9 else set b nm := b n m ; end else 3 set b nm := ; 4 end 5 set Z m+ := Z m b nm q n m ; 6 set m := m + ; 7 end 8 set M := m, l := n, b := b + Z m, b k := for all k / {n m } M ; The definition () of qk and the assignment of line 4 provides us with the inequality Z m q nm = ( ) nm Z m q nm, (6) whereas the assignment of line 6 provides us with the inequality b n m q nm Z m < (b n m + )q nm. (7) 5

6 When Z =, we have l = and the expansion is vacuous. Assuming Z, we will first show that the sequence of indexes (n m ) M is strictly decreasing. To do so, we will consider the two cases n m {n m, n m } separately: When n m = n m, the inequality of step 3 yields q nm = q n m < Z m Z m + I < (Z m ) q n m = q nm, so when we define Z m+ using b nm = in step 5, we will have by the inequalities (6) and (7) that Z m b n m q nm = Z m b n m q nm (8) and that Z m Z m+, hence Z m+ = q nm Z m q nm q nm. (9) Since n m = n m +, we have q nm, so that Z m+ + q nm and Z m+ + I < (Z m+ ) Z m+ + q nm. Then in step 3 of the next iteration, we will have n m+ n m. If this inequality is strict then we have n m+ n m+ + < n m. If n m+ = n m +, then in step 4 we use the fact that Z m and Z m+ are of opposite sign to obtain that is, I > (( ) nm Z m+ ) = I > ( ( ) n m Z m ) = = I> ( ( ) n m+ Z m+ ), n m+ n m n m+ (mod ). Since n m+ n m+ + n m, we conclude that for this case we have n m+ = n m+ < n m. When n m = n m and Z m >, we have by the inequalities (6), (7), line 5 and the fact that b nm b n m that and Z m+ = Z m b nm q n m = Z m b nm q nm < (b n m + )q nm b n m q nm = q nm q nm = b n m q nm (b n m + )q nm b n m q nm b nm q nm Z m b nm q nm = Z m b nm q n m = Z m+. Similarly, when n m = n m and Z m <, we have by the inequalities (6), (7), line 5 and the fact that b nm b n m that and Z m+ = Z m b nm q n m = Z m + b nm q nm b n m q nm + (b n m + )q nm = q nm q nm = (b n m + )q nm + b n m q nm < Z m + b n m q nm Z m b nm q n m = Z m+ 6

7 In either case we have Z m+ q nm. () If one of the last inequalities is an equality, then the iteration will terminate at the next step with n m+ = n m, b nm+ = and Z m+ =. Otherwise, we have Z m+ +I < (Z m+ ) q nm so that by line 3 we will have n m+ n m. When n m+ = n m+, we have n m+ < n m and when n m+ = n m+ we use the previous paragraph to conclude that n m+ < n m+. In either case we have n m+ n m+ n m and n m+ < n m. We have just proved that the sequence (n m ) M is non-constant and decreasing and thus conclude that this iteration process will eventually terminate with a finite value M, for which n M and Z M+ =. After we define b k := whenever k / {n m } M, we use the assignment of line 5 to obtain the desired expansion Z = b n q n + Z = b n q n + b n q n + Z =... = l b k qk. To prove uniqueness, we split an expansion of Z into its positive and negative parts and invoke the uniqueness of the absolute irrational expansion. More precisely, if Z = l k= b kqk, then we define Z + := l/ k= b k+ q k = l/ k= l/ b k+ q k, Z := k= k= b k q k = l/ k= b k q k, so that Z = Z + Z. If we also have Z = l b k= k qk then, without changing the representation, we set b k = b k := for all min{l, l} < k max{l, l} and write l/ k= b k q k = Z = Z + Z = = max{l, l}/ k= l/ k= b k+ q k l k= l/ (b k+ b k+ )q k + bk q k. k= b k q k Then theorem. guarantees that l = l and that b k = b k for all k l. To prove that for all k we have b k a k, we will show that for all m M we have b nm a nm. This is clear whenever n m = n m + for by the assignment of line 3, we have b nm =. When n m = n m, we use the inequality of line 3 and the assignments of line 6, line 8 and line, we see that b nm b n m. Furthermore, we cannot have b n m a nm +, for then we would use the recursion relationship () and the inequalities of line 3 and (7) to obtain the contradiction Z m q nm I < (Z m ) q nm = a nm q nm + q nm (b n m )q nm + q nm = b n m q nm (q nm q nm ) < b n m q nm Z m. 7

8 Finally, when b n m = a nm, we will show that we must also have b nm = a nm. If Z m >, then from line 4 and the definition () of q k we have ( )nm = and q n m = q nm so that by the inequality (7) we obtain Z m b n m q n m = Z m b n m q nm. Then the the recursion relationship () and the inequality of line 3 will now yield the inequality Z m b n m q n m + I < (Z m b n m q n m ) = Z m b n m q n m = Z m b nm q nm = Z m a nm q nm q nm a nm q nm = q nm. Similarly, if b n m = a nm and Z m <, then from line 4 we have ( ) nm <, hence q n m = q nm so that, by the inequality (7), we have Z m b n m q n m = Z m + b n m q nm. Then the recursion relationship () and the inequality of line 3 will yield the inequality Z m b n m q n m + I < (Z m b n m q n m ) (Z m b n m q n m ) + = Z m + b n m q n m + q nm I < (Z m ) + b n m q n m + = q nm a nm q nm + = q nm a nm q nm = q nm. In both cases, b n m would not satisfy the condition in line 7, hence we would have b nm = b n m = a nm. Since b k = whenever k / {n m } M, we conclude that for all k we have b k a k. To prove that b k = a k implies that b k+ =, we let k and m are such that n m = k +. If n m+ k then k / {n m } M+, hence b k = a k so that we may assume that n m+ = n m = k. Again we will consider the two cases n m {n m, n m } separately: When n m = n m, we assume that b k+ b k+ and will prove that b k a k. We use the recursion formula (), the fact that the sequence (q k ) is increasing and the inequality (9) to obtain Z m+ < q nm q nm = q k q k = (a k )q k + q k < a k q k. so when we assign b k = b n m = b n m+ using the inequality (7), we will have b k a k. Furthermore, from formula (8), we obtain Z m+ b kq k + I < (Z m+ b kq k ) Z m+ b kq k Z m+ (a k )q k + < q k q k (a k )q k + = q k a k q k + = q k + so that the condition of line 7 is not satisfied and b k := b k a k as desired. When n m = n m, we have n m+ n m = k < n m+ = n m = n m = k < k + = n m. 8

9 Suppose by contradiction that b k = a k and b k+ b k+. Then by the recursion relationship (), the inequalities (7), () and the assignment of line 5, we obtain the contradiction q k b k+q k = b n m q nm Z m = b nm q n m + Z m+ = b nm q nm Z m+ = b nm q nm b nm q nm + Z m+ b nm q nm b nm q nm + Z m+ < b nm q nm b nm q nm + (b nm+ + )q nm+ = b k q k b k q k + (b k + )q k = a k q k b k q k + (b k + )q k = q k (b k + )q k + (b k + )q k = q k. 3. Examples When α is the golden section, we have (qk ) := (,,, 3, 5,...) and are able to extend Zeckendorf s Theorem to the integers. When α is the silver section, we have (qk ) = (,, 5,, 9,...). The following tables displays how the digits behave when counting from -4 to 4 using this base: q =5 q = q = Z b 3 b b q4 =9 q 3 = q =5 q = q = Z b 5 b 4 b 3 b b

10 Irrational Base Counting Z q3 = b4 q =5 b3 q = b q = b Z q3 = b4 q =5 b3 q = b q = b Appendix Mathematica Implementation We use MathematicaTM to implement the algorithm and with the base whose first continued fraction partial quotients are (ak := k)9. The vectors b and c start at position and the vectors q and q start in positions so that we obtain the dot product representation N = c q = Ost(N ) q and Z = b q = AltOst(Z) q. Α = FromContinuedFraction@Prepend@Table@k, 8k, 9<D, DD; q = Denominator@Convergents@Α, DD; Ost@N_D := Module@8n = N, c = Table@, 8i, <D<, While@n >, j := First@Flatten@Position@q, First@Select@q, ð > n &, DDDDD - ; c = ReplacePart@c, j Quotient@n, qpjtdd; n = Mod@n, qpjtdd; cd Α = FromContinuedFraction@Prepend@Table@k, 8k, <D, DD; q = Prepend@Denominator@Convergents@Α, DD, D; q * = q * Table@H-L^n, 8n, <D; AltOst@Z_D := ModuleA8b = Table@, 8i, <D, nm, z = Z<, WhileA z ¹, nm = First@Flatten@Position@q, First@Select@q, ð ³ HAbs@zD + Boole@z < DL &, DDDDD; IfAH-L^nm * z >, bpnmt =, nm -= ; bpnmt = Floor@Abs@zD qpnmtd ; IfAAbsAz - bpnmt q * PnmTE + BooleAz - bpnmt q * PnmT < E > qpnm - T, bpnmt += EE; z -= bpnmt q * PnmTE; be

11 5 Acknowledgments This work could have not been completed without the guidance, encouragement and good company of Robbie Robinson from George Washington University. References [] G.H. Hardy and E.M. Wright, An introduction to the theory of numbers, 5ed, Clarendon Press, New York, 979 [] A. Ya. Khintchine, Continued Fractions, P. Noordhoff Ltd. Groningen, 963. [3] A. Ostrowski, Bemerkungen zur theorie der diophantischen approximationen, Abh. Math. Semin. Hamburg Univ, :7798, 9.

The Ostrowski Expansions Revealed

The Ostrowski Expansions Revealed arxiv:605.07992v4 [math.nt] 7 Jun 206 June 9, 206 Abstract We provide algorithms for the absolute and alternating Ostrowski Expansions of the continuum and provide proofs for their uniqueness. Introduction

More information

Problem Set 5 Solutions

Problem Set 5 Solutions Problem Set 5 Solutions Section 4.. Use mathematical induction to prove each of the following: a) For each natural number n with n, n > + n. Let P n) be the statement n > + n. The base case, P ), is true

More information

Homework #2 Solutions Due: September 5, for all n N n 3 = n2 (n + 1) 2 4

Homework #2 Solutions Due: September 5, for all n N n 3 = n2 (n + 1) 2 4 Do the following exercises from the text: Chapter (Section 3):, 1, 17(a)-(b), 3 Prove that 1 3 + 3 + + n 3 n (n + 1) for all n N Proof The proof is by induction on n For n N, let S(n) be the statement

More information

Standard forms for writing numbers

Standard forms for writing numbers Standard forms for writing numbers In order to relate the abstract mathematical descriptions of familiar number systems to the everyday descriptions of numbers by decimal expansions and similar means,

More information

Trajectories of rotations

Trajectories of rotations ACTA ARITHMETICA LXXXVII.3 (1999) Trajectories of rotations by Pierre Arnoux, Sébastien Ferenczi and Pascal Hubert (Marseille) Among the fundamental sequences in arithmetics, symbolic dynamics and language

More information

Math /Foundations of Algebra/Fall 2017 Foundations of the Foundations: Proofs

Math /Foundations of Algebra/Fall 2017 Foundations of the Foundations: Proofs Math 4030-001/Foundations of Algebra/Fall 017 Foundations of the Foundations: Proofs A proof is a demonstration of the truth of a mathematical statement. We already know what a mathematical statement is.

More information

On the classification of irrational numbers

On the classification of irrational numbers arxiv:506.0044v [math.nt] 5 Nov 07 On the classification of irrational numbers José de Jesús Hernández Serda May 05 Abstract In this note we make a comparison between the arithmetic properties of irrational

More information

Factorizations of the Fibonacci Infinite Word

Factorizations of the Fibonacci Infinite Word 2 3 47 6 23 Journal of Integer Sequences, Vol. 8 (205), Article 5.9.3 Factorizations of the Fibonacci Infinite Word Gabriele Fici Dipartimento di Matematica e Informatica Università di Palermo Via Archirafi

More information

Intermediate Math Circles February 26, 2014 Diophantine Equations I

Intermediate Math Circles February 26, 2014 Diophantine Equations I Intermediate Math Circles February 26, 2014 Diophantine Equations I 1. An introduction to Diophantine equations A Diophantine equation is a polynomial equation that is intended to be solved over the integers.

More information

Induction. Induction. Induction. Induction. Induction. Induction 2/22/2018

Induction. Induction. Induction. Induction. Induction. Induction 2/22/2018 The principle of mathematical induction is a useful tool for proving that a certain predicate is true for all natural numbers. It cannot be used to discover theorems, but only to prove them. If we have

More information

Math 109 HW 9 Solutions

Math 109 HW 9 Solutions Math 109 HW 9 Solutions Problems IV 18. Solve the linear diophantine equation 6m + 10n + 15p = 1 Solution: Let y = 10n + 15p. Since (10, 15) is 5, we must have that y = 5x for some integer x, and (as we

More information

An Alternate Method to Compute the Decimal Expansion of Rational Numbers

An Alternate Method to Compute the Decimal Expansion of Rational Numbers 8 MATHEMATICS MAGAZINE An Alternate Method to Compute the Decimal Expansion of Rational Numbers AMITABHA TRIPATHI Indian Institute of Technology Delhi Hauz Khas, New Delhi 1016, India atripath@maths.iitd.ac.in

More information

not to be republished NCERT REAL NUMBERS CHAPTER 1 (A) Main Concepts and Results

not to be republished NCERT REAL NUMBERS CHAPTER 1 (A) Main Concepts and Results REAL NUMBERS CHAPTER 1 (A) Main Concepts and Results Euclid s Division Lemma : Given two positive integers a and b, there exist unique integers q and r satisfying a = bq + r, 0 r < b. Euclid s Division

More information

Notes on Continued Fractions for Math 4400

Notes 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 information

What is Zeckendorf s Theorem?

What is Zeckendorf s Theorem? What is Zeckendorf s Theorem? Nik Henderson July 23, 2016 Abstract While Fibonacci numbers can quite easily be classified as a complete sequence, they have the unusual property that a particular explicitly

More information

Sail into Summer with Math!

Sail into Summer with Math! Sail into Summer with Math! For Students Entering Algebra 1 This summer math booklet was developed to provide students in kindergarten through the eighth grade an opportunity to review grade level math

More information

Question 1: Is zero a rational number? Can you write it in the form p, where p and q are integers and q 0?

Question 1: Is zero a rational number? Can you write it in the form p, where p and q are integers and q 0? Class IX - NCERT Maths Exercise (.) Question : Is zero a rational number? Can you write it in the form p, where p and q are integers and q 0? q Solution : Consider the definition of a rational number.

More information

A number that can be written as, where p and q are integers and q Number.

A number that can be written as, where p and q are integers and q Number. RATIONAL NUMBERS 1.1 Definition of Rational Numbers: What are rational numbers? A number that can be written as, where p and q are integers and q Number. 0, is known as Rational Example:, 12, -18 etc.

More information

Trinity Christian School Curriculum Guide

Trinity Christian School Curriculum Guide Course Title: Calculus Grade Taught: Twelfth Grade Credits: 1 credit Trinity Christian School Curriculum Guide A. Course Goals: 1. To provide students with a familiarity with the properties of linear,

More information

Open Problems with Factorials

Open Problems with Factorials Mathematics Open Problems with Factorials Sílvia Casacuberta supervised by Dr. Xavier Taixés November 3, 2017 Preamble This essay contains the results of a research project on number theory focusing on

More information

Mat Week 8. Week 8. gcd() Mat Bases. Integers & Computers. Linear Combos. Week 8. Induction Proofs. Fall 2013

Mat Week 8. Week 8. gcd() Mat Bases. Integers & Computers. Linear Combos. Week 8. Induction Proofs. Fall 2013 Fall 2013 Student Responsibilities Reading: Textbook, Section 3.7, 4.1, & 5.2 Assignments: Sections 3.6, 3.7, 4.1 Proof Worksheets Attendance: Strongly Encouraged Overview 3.6 Integers and Algorithms 3.7

More information

CHAPTER 1 REAL NUMBERS KEY POINTS

CHAPTER 1 REAL NUMBERS KEY POINTS CHAPTER 1 REAL NUMBERS 1. Euclid s division lemma : KEY POINTS For given positive integers a and b there exist unique whole numbers q and r satisfying the relation a = bq + r, 0 r < b. 2. Euclid s division

More information

Student Responsibilities Week 8. Mat Section 3.6 Integers and Algorithms. Algorithm to Find gcd()

Student Responsibilities Week 8. Mat Section 3.6 Integers and Algorithms. Algorithm to Find gcd() Student Responsibilities Week 8 Mat 2345 Week 8 Reading: Textbook, Section 3.7, 4.1, & 5.2 Assignments: Sections 3.6, 3.7, 4.1 Induction Proof Worksheets Attendance: Strongly Encouraged Fall 2013 Week

More information

CROSSWalk. for the Co on Core State Standards

CROSSWalk. for the Co on Core State Standards Mathematics Grade 8 CROSSWalk for the Co on Core State Standards Table of Contents Common Core State Standards Correlation Chart... 6 Domain 1 The Number System.... Domain 1: Diagnostic Assessment for

More information

Math From Scratch Lesson 29: Decimal Representation

Math From Scratch Lesson 29: Decimal Representation Math From Scratch Lesson 29: Decimal Representation W. Blaine Dowler January, 203 Contents Introducing Decimals 2 Finite Decimals 3 2. 0................................... 3 2.2 2....................................

More information

Lecture Notes. Advanced Discrete Structures COT S

Lecture Notes. Advanced Discrete Structures COT S Lecture Notes Advanced Discrete Structures COT 4115.001 S15 2015-01-13 Recap Divisibility Prime Number Theorem Euclid s Lemma Fundamental Theorem of Arithmetic Euclidean Algorithm Basic Notions - Section

More information

MAT 243 Test 2 SOLUTIONS, FORM A

MAT 243 Test 2 SOLUTIONS, FORM A MAT 24 Test 2 SOLUTIONS, FORM A 1. [1 points] Prove the following using Mathematical Induction. L 2 i = L n L n+1 + 2 where L is the Lucas sequence: L 0 = 2 L 1 = 1 L n = L n 1 + L n 2, n 2 Solution: Let

More information

On the possible quantities of Fibonacci numbers that occur in some type of intervals

On the possible quantities of Fibonacci numbers that occur in some type of intervals On the possible quantities of Fibonacci numbers that occur in some type of intervals arxiv:1508.02625v1 [math.nt] 11 Aug 2015 Bakir FARHI Laboratoire de Mathématiques appliquées Faculté des Sciences Exactes

More information

Math 110 HW 3 solutions

Math 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 information

Chapter 1. Greatest common divisor. 1.1 The division theorem. In the beginning, there are the natural numbers 0, 1, 2, 3, 4,...,

Chapter 1. Greatest common divisor. 1.1 The division theorem. In the beginning, there are the natural numbers 0, 1, 2, 3, 4,..., Chapter 1 Greatest common divisor 1.1 The division theorem In the beginning, there are the natural numbers 0, 1, 2, 3, 4,..., which constitute the set N. Addition and multiplication are binary operations

More information

Lecture 2: Continued fractions, rational approximations

Lecture 2: Continued fractions, rational approximations Lecture 2: Continued fractions, rational approximations Algorithmic Number Theory (Fall 204) Rutgers University Swastik Kopparty Scribe: Cole Franks Continued Fractions We begin by calculating the continued

More information

1 Numbers. exponential functions, such as x 7! a x ; where a; x 2 R; trigonometric functions, such as x 7! sin x; where x 2 R; ffiffi x ; where x 0:

1 Numbers. exponential functions, such as x 7! a x ; where a; x 2 R; trigonometric functions, such as x 7! sin x; where x 2 R; ffiffi x ; where x 0: Numbers In this book we study the properties of real functions defined on intervals of the real line (possibly the whole real line) and whose image also lies on the real line. In other words, they map

More information

Fall 2017 Test II review problems

Fall 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 information

arxiv: v1 [math.nt] 10 Dec 2009

arxiv: v1 [math.nt] 10 Dec 2009 Ford circles, continued fractions, and best approximation of the second kind arxiv:092.997v [math.nt] 0 Dec 2009 Ian Short Centre for Mathematical Sciences Wilberforce Road Cambridge CB3 0WB United Kingdom

More information

Long division for integers

Long division for integers Feasting on Leftovers January 2011 Summary notes on decimal representation of rational numbers Long division for integers Contents 1. Terminology 2. Description of division algorithm for integers (optional

More information

The Real Number System

The Real Number System MATH 337 The Real Number System Sets of Numbers Dr. Neal, WKU A set S is a well-defined collection of objects, with well-defined meaning that there is a specific description from which we can tell precisely

More information

Chapter 5. Number Theory. 5.1 Base b representations

Chapter 5. Number Theory. 5.1 Base b representations Chapter 5 Number Theory The material in this chapter offers a small glimpse of why a lot of facts that you ve probably nown and used for a long time are true. It also offers some exposure to generalization,

More information

ON THE POSSIBLE QUANTITIES OF FIBONACCI NUMBERS THAT OCCUR IN SOME TYPES OF INTERVALS

ON THE POSSIBLE QUANTITIES OF FIBONACCI NUMBERS THAT OCCUR IN SOME TYPES OF INTERVALS Acta Math. Univ. Comenianae Vol. LXXXVII, 2 (2018), pp. 291 299 291 ON THE POSSIBLE QUANTITIES OF FIBONACCI NUMBERS THAT OCCUR IN SOME TYPES OF INTERVALS B. FARHI Abstract. In this paper, we show that

More information

Class IX Chapter 1 Number Sustems Maths

Class IX Chapter 1 Number Sustems Maths Class IX Chapter 1 Number Sustems Maths Exercise 1.1 Question Is zero a rational number? Can you write it in the form 0? and q, where p and q are integers Yes. Zero is a rational number as it can be represented

More information

Introduction to Techniques for Counting

Introduction 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 information

ALTERNATIVE SECTION 12.2 SUPPLEMENT TO BECK AND GEOGHEGAN S ART OF PROOF

ALTERNATIVE SECTION 12.2 SUPPLEMENT TO BECK AND GEOGHEGAN S ART OF PROOF ALTERNATIVE SECTION 12.2 SUPPLEMENT TO BECK AND GEOGHEGAN S ART OF PROOF MICHAEL P. COHEN Remark. The purpose of these notes is to serve as an alternative Section 12.2 for Beck and Geoghegan s Art of Proof.

More information

SQUARE PATTERNS AND INFINITUDE OF PRIMES

SQUARE PATTERNS AND INFINITUDE OF PRIMES SQUARE PATTERNS AND INFINITUDE OF PRIMES KEITH CONRAD 1. Introduction Numerical data suggest the following patterns for prime numbers p: 1 mod p p = 2 or p 1 mod 4, 2 mod p p = 2 or p 1, 7 mod 8, 2 mod

More information

MA131 - Analysis 1. Workbook 6 Completeness II

MA131 - Analysis 1. Workbook 6 Completeness II MA3 - Analysis Workbook 6 Completeness II Autumn 2004 Contents 3.7 An Interesting Sequence....................... 3.8 Consequences of Completeness - General Bounded Sequences.. 3.9 Cauchy Sequences..........................

More information

Recursive Definitions

Recursive Definitions Recursive Definitions Example: Give a recursive definition of a n. a R and n N. Basis: n = 0, a 0 = 1. Recursion: a n+1 = a a n. Example: Give a recursive definition of n i=0 a i. Let S n = n i=0 a i,

More information

The Euclidean Algorithm

The Euclidean Algorithm MATH 324 Summer 2006 Elementary Number Theory Notes on the Euclidean Algorithm Department of Mathematical and Statistical Sciences University of Alberta The Euclidean Algorithm Given two positive integers

More information

Infinite Continued Fractions

Infinite Continued Fractions Infinite Continued Fractions 8-5-200 The value of an infinite continued fraction [a 0 ; a, a 2, ] is lim c k, where c k is the k-th convergent k If [a 0 ; a, a 2, ] is an infinite continued fraction with

More information

Section 1.1 Notes. Real Numbers

Section 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 information

In case (1) 1 = 0. Then using and from the previous lecture,

In case (1) 1 = 0. Then using and from the previous lecture, Math 316, Intro to Analysis The order of the real numbers. The field axioms are not enough to give R, as an extra credit problem will show. Definition 1. An ordered field F is a field together with a nonempty

More information

Math 324 Summer 2012 Elementary Number Theory Notes on Mathematical Induction

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

More information

Series of Error Terms for Rational Approximations of Irrational Numbers

Series of Error Terms for Rational Approximations of Irrational Numbers 2 3 47 6 23 Journal of Integer Sequences, Vol. 4 20, Article..4 Series of Error Terms for Rational Approximations of Irrational Numbers Carsten Elsner Fachhochschule für die Wirtschaft Hannover Freundallee

More information

Introduction Integers. Discrete Mathematics Andrei Bulatov

Introduction Integers. Discrete Mathematics Andrei Bulatov Introduction Integers Discrete Mathematics Andrei Bulatov Discrete Mathematics - Integers 9- Integers God made the integers; all else is the work of man Leopold Kroenecker Discrete Mathematics - Integers

More information

Solving Equations Quick Reference

Solving Equations Quick Reference Solving Equations Quick Reference Integer Rules Addition: If the signs are the same, add the numbers and keep the sign. If the signs are different, subtract the numbers and keep the sign of the number

More information

Seunghee Ye Ma 8: Week 2 Oct 6

Seunghee Ye Ma 8: Week 2 Oct 6 Week 2 Summary This week, we will learn about sequences and real numbers. We first define what we mean by a sequence and discuss several properties of sequences. Then, we will talk about what it means

More information

Elementary Properties of the Integers

Elementary Properties of the Integers Elementary Properties of the Integers 1 1. Basis Representation Theorem (Thm 1-3) 2. Euclid s Division Lemma (Thm 2-1) 3. Greatest Common Divisor 4. Properties of Prime Numbers 5. Fundamental Theorem of

More information

1 Adeles over Q. 1.1 Absolute values

1 Adeles over Q. 1.1 Absolute values 1 Adeles over Q 1.1 Absolute values Definition 1.1.1 (Absolute value) An absolute value on a field F is a nonnegative real valued function on F which satisfies the conditions: (i) x = 0 if and only if

More information

1 Continued Fractions

1 Continued Fractions Continued Fractions To start off the course, we consider a generalization of the Euclidean Algorithm which has ancient historical roots and yet still has relevance and applications today.. Continued Fraction

More information

Counting patterns in digital expansions

Counting patterns in digital expansions Counting patterns in digital expansions Manfred G. Madritsch Department for Analysis and Computational Number Theory Graz University of Technology madritsch@math.tugraz.at Séminaire ERNEST Dynamique, Arithmétique,

More information

Polynomial root separation examples

Polynomial root separation examples Journal of Symbolic Computation 4 (2006) 080 090 www.elsevier.com/locate/jsc Polynomial root separation examples Arnold Schönhage Institut für Informati III, Universität Bonn, Römerstr. 64, D-537 Bonn,

More information

On Aperiodic Subtraction Games with Bounded Nim Sequence

On Aperiodic Subtraction Games with Bounded Nim Sequence On Aperiodic Subtraction Games with Bounded Nim Sequence Nathan Fox arxiv:1407.2823v1 [math.co] 10 Jul 2014 Abstract Subtraction games are a class of impartial combinatorial games whose positions correspond

More information

Limits and Continuity

Limits and Continuity Chapter Limits and Continuity. Limits of Sequences.. The Concept of Limit and Its Properties A sequence { } is an ordered infinite list x,x,...,,... The n-th term of the sequence is, and n is the index

More information

3 - Induction and Recursion

3 - Induction and Recursion November 14, 2017 3 - Induction and Recursion William T. Trotter trotter@math.gatech.edu Using Recurrence Equations (1) Basic Problem How many regions are determined by n lines that intersect in general

More information

Mathematical Induction

Mathematical Induction Mathematical Induction MAT231 Transition to Higher Mathematics Fall 2014 MAT231 (Transition to Higher Math) Mathematical Induction Fall 2014 1 / 21 Outline 1 Mathematical Induction 2 Strong Mathematical

More information

REAL NUMBERS. Any positive integer a can be divided by another positive integer b in such a way that it leaves a remainder r that is smaller than b.

REAL NUMBERS. Any positive integer a can be divided by another positive integer b in such a way that it leaves a remainder r that is smaller than b. REAL NUMBERS Introduction Euclid s Division Algorithm Any positive integer a can be divided by another positive integer b in such a way that it leaves a remainder r that is smaller than b. Fundamental

More information

Worst-case analysis of Weber s GCD algorithm

Worst-case analysis of Weber s GCD algorithm Information Processing Letters 72 (1999) 125 130 Worst-case analysis of Weber s GCD algorithm Christian Lavault, S. Mohamed Sedjelmaci LIPN, Université Paris-Nord, 93430 Villetaneuse, France Received 30

More information

Exact Comparison of Quadratic Irrationals

Exact Comparison of Quadratic Irrationals Exact Comparison of Quadratic Irrationals Phuc Ngo To cite this version: Phuc Ngo. Exact Comparison of Quadratic Irrationals. [Research Report] LIGM. 20. HAL Id: hal-0069762 https://hal.archives-ouvertes.fr/hal-0069762

More information

A Readable Introduction to Real Mathematics

A Readable Introduction to Real Mathematics Solutions to selected problems in the book A Readable Introduction to Real Mathematics D. Rosenthal, D. Rosenthal, P. Rosenthal Chapter 7: The Euclidean Algorithm and Applications 1. Find the greatest

More information

SEVENTH EDITION and EXPANDED SEVENTH EDITION

SEVENTH EDITION and EXPANDED SEVENTH EDITION SEVENTH EDITION and EXPANDED SEVENTH EDITION Slide 5-1 Chapter 5 Number Theory and the Real Number System 5.1 Number Theory Number Theory The study of numbers and their properties. The numbers we use to

More information

arxiv: v1 [math.co] 11 Aug 2015

arxiv: v1 [math.co] 11 Aug 2015 arxiv:1508.02762v1 [math.co] 11 Aug 2015 A Family of the Zeckendorf Theorem Related Identities Ivica Martinjak Faculty of Science, University of Zagreb Bijenička cesta 32, HR-10000 Zagreb, Croatia Abstract

More information

Mathematical Induction

Mathematical Induction Mathematical Induction Representation of integers Mathematical Induction Reading (Epp s textbook) 5.1 5.3 1 Representations of Integers Let b be a positive integer greater than 1. Then if n is a positive

More information

West Windsor-Plainsboro Regional School District Math A&E Grade 7

West Windsor-Plainsboro Regional School District Math A&E Grade 7 West Windsor-Plainsboro Regional School District Math A&E Grade 7 Page 1 of 24 Unit 1: Introduction to Algebra Content Area: Mathematics Course & Grade Level: A&E Mathematics, Grade 7 Summary and Rationale

More information

Discrete Math in Computer Science Solutions to Practice Problems for Midterm 2

Discrete Math in Computer Science Solutions to Practice Problems for Midterm 2 Discrete Math in Computer Science Solutions to Practice Problems for Midterm 2 CS 30, Fall 2018 by Professor Prasad Jayanti Problems 1. Let g(0) = 2, g(1) = 1, and g(n) = 2g(n 1) + g(n 2) whenever n 2.

More information

Lecture 2. The Euclidean Algorithm and Numbers in Other Bases

Lecture 2. The Euclidean Algorithm and Numbers in Other Bases Lecture 2. The Euclidean Algorithm and Numbers in Other Bases At the end of Lecture 1, we gave formulas for the greatest common divisor GCD (a, b), and the least common multiple LCM (a, b) of two integers

More information

ORDERS OF UNITS IN MODULAR ARITHMETIC

ORDERS OF UNITS IN MODULAR ARITHMETIC ORDERS OF UNITS IN MODULAR ARITHMETIC KEITH CONRAD. Introduction If a mod m is a unit then a ϕ(m) mod m by Euler s theorem. Depending on a, it might happen that a n mod m for a positive integer n that

More information

Putnam Greedy Algorithms Cody Johnson. Greedy Algorithms. May 30, 2016 Cody Johnson.

Putnam Greedy Algorithms Cody Johnson. Greedy Algorithms. May 30, 2016 Cody Johnson. 1 Introduction Greedy Algorithms May 0, 2016 Cody Johnson ctj@math.cmu.edu A greedy algorithm is an algorithm that chooses the optimal choice in the short run. 2 Examples 1. Prove that every nonnegative

More information

PRACTICE PROBLEMS: SET 1

PRACTICE PROBLEMS: SET 1 PRACTICE PROBLEMS: SET MATH 437/537: PROF. DRAGOS GHIOCA. Problems Problem. Let a, b N. Show that if gcd(a, b) = lcm[a, b], then a = b. Problem. Let n, k N with n. Prove that (n ) (n k ) if and only if

More information

MATH 271 Summer 2016 Practice problem solutions Week 1

MATH 271 Summer 2016 Practice problem solutions Week 1 Part I MATH 271 Summer 2016 Practice problem solutions Week 1 For each of the following statements, determine whether the statement is true or false. Prove the true statements. For the false statement,

More information

CHAPTER 8: EXPLORING R

CHAPTER 8: EXPLORING R CHAPTER 8: EXPLORING R LECTURE NOTES FOR MATH 378 (CSUSM, SPRING 2009). WAYNE AITKEN In the previous chapter we discussed the need for a complete ordered field. The field Q is not complete, so we constructed

More information

Course Learning Outcomes for Unit III. Reading Assignment. Unit Lesson. UNIT III STUDY GUIDE Number Theory and the Real Number System

Course Learning Outcomes for Unit III. Reading Assignment. Unit Lesson. UNIT III STUDY GUIDE Number Theory and the Real Number System UNIT III STUDY GUIDE Number Theory and the Real Number System Course Learning Outcomes for Unit III Upon completion of this unit, students should be able to: 3. Perform computations involving exponents,

More information

ITERATING THE DIVISION ALGORITHM

ITERATING THE DIVISION ALGORITHM MICHAEL E. MAYS West Virginia University, Morgantown, WV 26506 (Submitted June 1985) INTRODUCTION The division algorithm guarantees that when an arbitrary integer b is divided by a positive integer a there

More information

Homework 3 Solutions, Math 55

Homework 3 Solutions, Math 55 Homework 3 Solutions, Math 55 1.8.4. There are three cases: that a is minimal, that b is minimal, and that c is minimal. If a is minimal, then a b and a c, so a min{b, c}, so then Also a b, so min{a, b}

More information

NORTHWESTERN UNIVERSITY Thrusday, Oct 6th, 2011 ANSWERS FALL 2011 NU PUTNAM SELECTION TEST

NORTHWESTERN UNIVERSITY Thrusday, Oct 6th, 2011 ANSWERS FALL 2011 NU PUTNAM SELECTION TEST Problem A1. Let a 1, a 2,..., a n be n not necessarily distinct integers. exist a subset of these numbers whose sum is divisible by n. Prove that there - Answer: Consider the numbers s 1 = a 1, s 2 = a

More information

Natural Numbers: Also called the counting numbers The set of natural numbers is represented by the symbol,.

Natural Numbers: Also called the counting numbers The set of natural numbers is represented by the symbol,. Name Period Date: Topic: Real Numbers and Their Graphs Standard: 9-12.A.1.3 Objective: Essential Question: What is the significance of a point on a number line? Determine the relative position on the number

More information

Fundamentals of Pure Mathematics - Problem Sheet

Fundamentals of Pure Mathematics - Problem Sheet Fundamentals of Pure Mathematics - Problem Sheet ( ) = Straightforward but illustrates a basic idea (*) = Harder Note: R, Z denote the real numbers, integers, etc. assumed to be real numbers. In questions

More information

Mathematics Pacing. Instruction: 9/7/17 10/31/17 Assessment: 11/1/17 11/8/17. # STUDENT LEARNING OBJECTIVES NJSLS Resources

Mathematics Pacing. Instruction: 9/7/17 10/31/17 Assessment: 11/1/17 11/8/17. # STUDENT LEARNING OBJECTIVES NJSLS Resources # STUDENT LEARNING OBJECTIVES NJSLS Resources 1 Describe real-world situations in which (positive and negative) rational numbers are combined, emphasizing rational numbers that combine to make 0. Represent

More information

ON HOFSTADTER S MARRIED FUNCTIONS

ON HOFSTADTER S MARRIED FUNCTIONS THOMAS STOLL Abstract. In this note we show that Hofstadter s married functions generated by the intertwined system of recurrences a(0) = 1, b(0) = 0, b(n) = n a(b(n 1)), a(n) = n b(a(n 1)) has the solutions

More information

Mathematical Reasoning & Proofs

Mathematical Reasoning & Proofs Mathematical Reasoning & Proofs MAT 1362 Fall 2018 Alistair Savage Department of Mathematics and Statistics University of Ottawa This work is licensed under a Creative Commons Attribution-ShareAlike 4.0

More information

Continued fractions for complex numbers and values of binary quadratic forms

Continued fractions for complex numbers and values of binary quadratic forms arxiv:110.3754v1 [math.nt] 18 Feb 011 Continued fractions for complex numbers and values of binary quadratic forms S.G. Dani and Arnaldo Nogueira February 1, 011 Abstract We describe various properties

More information

Simultaneous Distribution of the Fractional Parts of Riemann Zeta Zeros

Simultaneous Distribution of the Fractional Parts of Riemann Zeta Zeros Simultaneous Distribution of the Fractional Parts of Riemann Zeta Zeros Kevin Ford, Xianchang Meng, and Alexandru Zaharescu arxiv:1511.06814v2 [math.n] 1 Sep 2016 Abstract In this paper, we investigate

More information

CONTINUED FRACTIONS, PELL S EQUATION, AND TRANSCENDENTAL NUMBERS

CONTINUED FRACTIONS, PELL S EQUATION, AND TRANSCENDENTAL NUMBERS CONTINUED FRACTIONS, PELL S EQUATION, AND TRANSCENDENTAL NUMBERS JEREMY BOOHER Continued fractions usually get short-changed at PROMYS, but they are interesting in their own right and useful in other areas

More information

SEQUENCES, MATHEMATICAL INDUCTION, AND RECURSION

SEQUENCES, MATHEMATICAL INDUCTION, AND RECURSION CHAPTER 5 SEQUENCES, MATHEMATICAL INDUCTION, AND RECURSION Copyright Cengage Learning. All rights reserved. SECTION 5.4 Strong Mathematical Induction and the Well-Ordering Principle for the Integers Copyright

More information

Intermediate Math Circles February 29, 2012 Linear Diophantine Equations I

Intermediate Math Circles February 29, 2012 Linear Diophantine Equations I Intermediate Math Circles February 29, 2012 Linear Diophantine Equations I Diophantine equations are equations intended to be solved in the integers. We re going to focus on Linear Diophantine Equations.

More information

arxiv:math/ v2 [math.nt] 18 Jun 1999

arxiv:math/ v2 [math.nt] 18 Jun 1999 arxiv:math/9906016v2 [math.nt] 18 Jun 1999 On periodic sequences for algebraic numbers Thomas Garrity Department of Mathematics Williams College Williamstown, MA 01267 email:tgarrity@williams.edu Abstract

More information

MATH 104A HW 02 SOLUTION KEY

MATH 104A HW 02 SOLUTION KEY .3 Algorithms and Convergence Solutions by Jon Lo Kim Lin - Fall 04 MATH 04A HW 0 SOLUTION KEY You are encouraged to collaborate with your classmates and utilize internet resources provided you adhere

More information

CHAPTER 3. Congruences. Congruence: definitions and properties

CHAPTER 3. Congruences. Congruence: definitions and properties CHAPTER 3 Congruences Part V of PJE Congruence: definitions and properties Definition. (PJE definition 19.1.1) Let m > 0 be an integer. Integers a and b are congruent modulo m if m divides a b. We write

More information

Outline Goals and Assumptions Real Numbers Rational and Irrational. L11: Numbers. Alice E. Fischer

Outline Goals and Assumptions Real Numbers Rational and Irrational. L11: Numbers. Alice E. Fischer L11: Numbers Alice E. Fischer CSCI 1166 Discrete Mathematics for Computing March 5-8, 2018 1 Goals and Assumptions 2 Real Numbers 3 Rational and Irrational Assumptions We rely the following assumptions:

More information

Math From Scratch Lesson 28: Rational Exponents

Math From Scratch Lesson 28: Rational Exponents Math From Scratch Lesson 28: Rational Exponents W. Blaine Dowler October 8, 2012 Contents 1 Exponent Review 1 1.1 x m................................. 2 x 1.2 n x................................... 2 m

More information

Homework 4, 5, 6 Solutions. > 0, and so a n 0 = n + 1 n = ( n+1 n)( n+1+ n) 1 if n is odd 1/n if n is even diverges.

Homework 4, 5, 6 Solutions. > 0, and so a n 0 = n + 1 n = ( n+1 n)( n+1+ n) 1 if n is odd 1/n if n is even diverges. 2..2(a) lim a n = 0. Homework 4, 5, 6 Solutions Proof. Let ɛ > 0. Then for n n = 2+ 2ɛ we have 2n 3 4+ ɛ 3 > ɛ > 0, so 0 < 2n 3 < ɛ, and thus a n 0 = 2n 3 < ɛ. 2..2(g) lim ( n + n) = 0. Proof. Let ɛ >

More information

Fundamentals of Mathematics (MATH 1510)

Fundamentals of Mathematics (MATH 1510) Fundamentals of Mathematics (MATH 1510) Instructor: Lili Shen Email: shenlili@yorku.ca Department of Mathematics and Statistics York University September 11, 2015 About the course Name: Fundamentals of

More information

ALGEBRA+NUMBER THEORY +COMBINATORICS

ALGEBRA+NUMBER THEORY +COMBINATORICS ALGEBRA+NUMBER THEORY +COMBINATORICS COMP 321 McGill University These slides are mainly compiled from the following resources. - Professor Jaehyun Park slides CS 97SI - Top-coder tutorials. - Programming

More information

Induction and recursion. Chapter 5

Induction and recursion. Chapter 5 Induction and recursion Chapter 5 Chapter Summary Mathematical Induction Strong Induction Well-Ordering Recursive Definitions Structural Induction Recursive Algorithms Mathematical Induction Section 5.1

More information