M A T H F A L L CORRECTION. Algebra I 2 1 / 0 9 / U N I V E R S I T Y O F T O R O N T O

Similar documents
Math 4310 Solutions to homework 1 Due 9/1/16

Boolean Algebra. Boolean Algebra

ad = cb (1) cf = ed (2) adf = cbf (3) cf b = edb (4)

MathCity.org Merging man and maths

Introduction to Group Theory

September 13 Homework Solutions

8. Complex Numbers. We can combine the real numbers with this new imaginary number to form the complex numbers.

Boolean algebra.

Coalgebra, Lecture 15: Equations for Deterministic Automata

set is not closed under matrix [ multiplication, ] and does not form a group.

Matrix Algebra. Matrix Addition, Scalar Multiplication and Transposition. Linear Algebra I 24

Matrices. Elementary Matrix Theory. Definition of a Matrix. Matrix Elements:

Lecture 2: Fields, Formally

Boolean Algebra. Boolean Algebras

Algebraic systems Semi groups and monoids Groups. Subgroups and homomorphisms Cosets Lagrange s theorem. Ring & Fields (Definitions and examples)

MTH 505: Number Theory Spring 2017

Vectors , (0,0). 5. A vector is commonly denoted by putting an arrow above its symbol, as in the picture above. Here are some 3-dimensional vectors:

Analytically, vectors will be represented by lowercase bold-face Latin letters, e.g. a, r, q.

MATH1131 Mathematics 1A Algebra

CS12N: The Coming Revolution in Computer Architecture Laboratory 2 Preparation

Multiplying integers EXERCISE 2B INDIVIDUAL PATHWAYS. -6 ì 4 = -6 ì 0 = 4 ì 0 = -6 ì 3 = -5 ì -3 = 4 ì 3 = 4 ì 2 = 4 ì 1 = -5 ì -2 = -6 ì 2 = -6 ì 1 =

The Modified Heinz s Inequality

Matrices and Determinants

Lecture 08: Feb. 08, 2019

Math Solutions to homework 1

Introduction To Matrices MCV 4UI Assignment #1

Torsion in Groups of Integral Triangles

Lecture 3. In this lecture, we will discuss algorithms for solving systems of linear equations.

Theoretical foundations of Gaussian quadrature

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

Things to Memorize: A Partial List. January 27, 2017

Homework 4. 0 ε 0. (00) ε 0 ε 0 (00) (11) CS 341: Foundations of Computer Science II Prof. Marvin Nakayama

Review: set theoretic definition of the numbers. Natural numbers:

28/02/ LECTURE Thursday MATH Linear and Abstract Algebra

Algebra Of Matrices & Determinants

Pre-Session Review. Part 1: Basic Algebra; Linear Functions and Graphs

MATRIX DEFINITION A matrix is any doubly subscripted array of elements arranged in rows and columns.

378 Relations Solutions for Chapter 16. Section 16.1 Exercises. 3. Let A = {0,1,2,3,4,5}. Write out the relation R that expresses on A.

INTRODUCTION TO LINEAR ALGEBRA

The Algebra (al-jabr) of Matrices

UNIT 5 QUADRATIC FUNCTIONS Lesson 3: Creating Quadratic Equations in Two or More Variables Instruction

Fast Boolean Algebra

IST 4 Information and Logic

Combinational Logic. Precedence. Quick Quiz 25/9/12. Schematics à Boolean Expression. 3 Representations of Logic Functions. Dr. Hayden So.

Operations with Polynomials

MATHEMATICS FOR MANAGEMENT BBMP1103

THE QUADRATIC RECIPROCITY LAW OF DUKE-HOPKINS. Circa 1870, G. Zolotarev observed that the Legendre symbol ( a p

Semigroup of generalized inverses of matrices

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3

CM10196 Topic 4: Functions and Relations

The Fundamental Theorem of Algebra

(e) if x = y + z and a divides any two of the integers x, y, or z, then a divides the remaining integer

Scanner. Specifying patterns. Specifying patterns. Operations on languages. A scanner must recognize the units of syntax Some parts are easy:

AUTOMATA AND LANGUAGES. Definition 1.5: Finite Automaton

Absolute values of real numbers. Rational Numbers vs Real Numbers. 1. Definition. Absolute value α of a real

Theory of the Integral

1 Numbers. 1.1 Prologue

MTH 5102 Linear Algebra Practice Exam 1 - Solutions Feb. 9, 2016

Linear Algebra Introduction

1. For each of the following theorems, give a two or three sentence sketch of how the proof goes or why it is not true.

Lecture 3: Equivalence Relations

Natural examples of rings are the ring of integers, a ring of polynomials in one variable, the ring

Fractions arise to express PART of a UNIT 1 What part of an HOUR is thirty minutes? Fifteen minutes? tw elve minutes? (The UNIT here is HOUR.

5. (±±) Λ = fw j w is string of even lengthg [ 00 = f11,00g 7. (11 [ 00)± Λ = fw j w egins with either 11 or 00g 8. (0 [ ffl)1 Λ = 01 Λ [ 1 Λ 9.

Farey Fractions. Rickard Fernström. U.U.D.M. Project Report 2017:24. Department of Mathematics Uppsala University

MATH 260 Final Exam April 30, 2013

Machine Learning for Signal Processing Fundamentals of Linear Algebra

Chapter 1: Logarithmic functions and indices

Parse trees, ambiguity, and Chomsky normal form

Rudimentary Matrix Algebra

Jim Lambers MAT 280 Spring Semester Lecture 26 and 27 Notes

Lecture 09: Myhill-Nerode Theorem

Module Summary Sheets. FP3, Further Applications of Advanced Mathematics (Version B: reference to new book)

CS 330 Formal Methods and Models

Boolean Algebra cont. The digital abstraction

Hyperbolic Numbers Revisited

IST 4 Information and Logic

Optimization Lecture 1 Review of Differential Calculus for Functions of Single Variable.

Multidimensional. MOD Planes. W. B. Vasantha Kandasamy Ilanthenral K Florentin Smarandache

2.4 Linear Inequalities and Interval Notation

KENDRIYA VIDYALAYA IIT KANPUR HOME ASSIGNMENTS FOR SUMMER VACATIONS CLASS - XII MATHEMATICS (Relations and Functions & Binary Operations)

Prerequisites CHAPTER P

ECON 331 Lecture Notes: Ch 4 and Ch 5

Minimal DFA. minimal DFA for L starting from any other

Finite Field Arithmetic and Implementations. Xinmiao Zhang Case Western Reserve University

Chapter 6 Techniques of Integration

The Regulated and Riemann Integrals

Chapter 2. Vectors. 2.1 Vectors Scalars and Vectors

Lecture 26: Angular Momentum II

The University of Nottingham SCHOOL OF COMPUTER SCIENCE A LEVEL 2 MODULE, SPRING SEMESTER LANGUAGES AND COMPUTATION ANSWERS

Improper Integrals, and Differential Equations

Resources. Introduction: Binding. Resource Types. Resource Sharing. The type of a resource denotes its ability to perform different operations

Simplifying Algebra. Simplifying Algebra. Curriculum Ready.

Intuitionistic Fuzzy Lattices and Intuitionistic Fuzzy Boolean Algebras

u(t)dt + i a f(t)dt f(t) dt b f(t) dt (2) With this preliminary step in place, we are ready to define integration on a general curve in C.

Homework Solution - Set 5 Due: Friday 10/03/08

Chapter 3. Vector Spaces

The usual algebraic operations +,, (or ), on real numbers can then be extended to operations on complex numbers in a natural way: ( 2) i = 1

Quotient Rule: am a n = am n (a 0) Negative Exponents: a n = 1 (a 0) an Power Rules: (a m ) n = a m n (ab) m = a m b m

Theory of Computation Regular Languages. (NTU EE) Regular Languages Fall / 38

Transcription:

M A T H 2 4 0 F A L L 2 0 1 4 HOMEWORK ASSIGNMENT #1 CORRECTION Alger I 2 1 / 0 9 / 2 0 1 4 U N I V E R S I T Y O F T O R O N T O

1. Suppose nd re nonzero elements of field F. Using only the field xioms, prove tht 1 1 is multiplictive inverse of. Stte which xioms re used in your proof. Let, F such tht 0 0. First, we hve, F F ecuse field is closed under multipliction. Moreover, 0 0 0. Therefore, since is nonzero element of field, there exists multiplictive inverse of elonging to this field y xiom F 4 of field. Let denote y 1 the identity element of multipliction of this field. Then: ( ) ( 1 1 ) = ( ) ( 1 1 ) y F 1 : commuttive property of multipliction = ( 1 ) 1 y F 2 : ssocitivity of multipliction = (1) 1 y F 4 : definition of multiplictive inverse = (1 1 ) y F 2 : ssocitivity of multipliction = 1 y F 3 : definition of identity elements = 1 y F 4 : definition of multiplictive inverse Finlly, since we hve ( ) ( 1 1 ) = 1, 1 1 is multiplictive inverse of. 2. Prove tht if nd re elements of field F, then 2 = 2 if nd only if = or =. First, we know tht: 2 = 2 2 2 = 0 (1) Moreover: ( ) ( + ) = ( ) + ( ) y F 5 : distriutive lw = + ( ) + + ( ) y F 5 : distriutive lw = 2 + ( ) + + ( ) y F 1 : commuttive property of multipliction = 2 + ( ) + ( ) y F 5 : distriutive lw = 2 + 0 + ( ) y F 4 : definition of dditive inverse = 2 + 0 + ( ) Demonstrted in clss: F, 0 = 0 = 2 + ( ) y F 3 : definition of identity elements So we hve: ( ) ( + ) = 2 + ( ) (2) We lso hve: 2 + ( ) = + ( ) = ( ) y F 5 : distriutive lw = 0 y F 4 : definition of dditive inverse = 0 Demonstrted in clss: F, 0 = 0 So ( ) is n dditive inverse of 2. In ddition, 2 is lso n dditive inverse of 2. As we demonstrted in clss, the inverse for ddition is unique. Therefore we hve: 2 = ( ). Finlly, eqution (2) ecome: ( ) ( + ) = 2 2 (3) By comining (3) nd (1) we get: ( ) ( + ) = 0 2

As demonstrted in clss (12 th property of the theorem on sic properties of fields), we hve: c, c F, c c = 0 c = 0 c = 0 Therefore: ( ) ( + ) = 0 ( ) = 0 ( + ) = 0 = = 3. Let F 4 = {0, 1,, } e field contining 4 elements. Assume tht 1 + 1 = 0. Prove tht = 1 = 2 = + 1. First, let us prove tht: = 1 Since F 4 is field, exists nd elongs to F 4 ecuse field is closed under multipliction. Therefore, there re 4 possile vlues for : 0,1, or. - Suppose tht = 0. Then = 0 = 0 = 0 F 4 = {0,1, } F 4 = {0,1, }. This contrdicts the fct tht F 4 is field contining 4 elements. Hence 0. - Suppose tht =. Then = = 1 y cncelltion F 4 = {0,1, }. This contrdicts the fct tht F 4 is field contining 4 elements. Hence. - Suppose tht =. Then = = 1 y cncelltion F 4 = {0,1, }. This contrdicts the fct tht F 4 is field contining 4 elements. Hence. Finlly, the only possile vlue for is 1. Hence: = 1 = 1 = 2 Since F 4 is field, 2 = exists nd elongs to F 4 ecuse field is closed under multipliction. Therefore, there re 4 possile vlues for 2 : 0,1, or. - Suppose tht 2 = 0. Then = 0 = 0 F 4 = {0,1, }. This contrdicts the fct tht F 4 is field contining 4 elements. Hence 2 0. - Suppose tht 2 = 1. Then = 1 = 1 = ecuse the multiplictive inverse is unique F 4 = {0,1, }. This contrdicts the fct tht F 4 is field contining 4 elements. Hence 2 1. - Suppose tht 2 =. Then = = 1 y cncelltion F 4 = {0,1, }. This contrdicts the fct tht F 4 is field contining 4 elements. Hence 2. Finlly, the only possile vlue for 2 is. Hence: = 1 = 2 = + 1 Since F 4 is field, + 1 exists nd elongs to F 4 ecuse field is closed under ddition. Therefore, there re 4 possile vlues for + 1: 0,1, or. - Suppose tht + 1 = 0. Then + 1 = 0 = 1 ecuse 1 + 1 = 0 nd ecuse the dditive inverse is unique F 4 = {0,1, }. This contrdicts the fct tht F 4 is field contining 4 elements. Hence + 1 0. - Suppose tht + 1 = 1. Then + 1 = 1 = 0 y cncelltion F 4 = {0,1, }. This contrdicts the fct tht F 4 is field contining 4 elements. Hence + 1 1. - Suppose tht + 1 =. Then + 1 = 1 = 0 y cncelltion. This contrdicts the fct tht in field the identity element for ddition ( 0 ) is different from the dditive element from multipliction ( 1 ). Hence + 1. 3

Finlly, the only possile vlue for + 1 is. Hence: = 1 = 2 = + 1 4. Write the following complex numers in the for + i, with, R: 4.1. 1 2i + 2i 5 i 1 2i + 2i 5 i = 1 2i 1 + 2i 5 i 1 = 1 2i 5 i 5 i + 2i 5 i 2i 2i = 5 i 10i 2i 2 + 4i2 10i 2i 2 = 5 i 10i + 2 + 4 10i + 2 = 9 i 10i + 2 = 9 i 10i + 2 1 = 9 i 10i + 2 10i 2 10i 2 = 90i 10i2 18 + 2i 100i 2 4 = 92i + 10 18 104 = 92i 8 104 = 8 92i 104 = 8 92 + ( 104 104 ) i = 1 23 + ( 13 26 ) i Finlly, we hve z = 1 + 2i = 1 23 + ( ) i with = 1 23, = nd, R. 2i 5 i 13 26 13 26 4.2. (1 + i) 5 Notice tht: 1 + i C (1,1) C. Moreover, we hve demonstrted during clss tht: (, ) (c, d) = ( c d, c + d) Thus: (1,1) 5 = ((1,1) 2 (1,1) 2 ) (1,1) By ssocitivity of multipliction = ((0,2) (0,2)) (1,1) = ( 4,0) (1,1) = ( 4, 4) Finlly, we hve z = (1 + i) 5 = 4 4i with = 4, = 4 nd, R. 4

5. Fields: 5.1. Prove tht the set F 1 = { + 3, Q} (endowed with the ddition nd multipliction inherited from R) is field Closure under ddition nd multipliction First, we hve to prove tht F 1 is closed under the inry opertions + nd, i.e. : F 1 F 1 F 1 nd +: F 1 F 1 F 1. Let x 1, x 2 F 1 with x 1 = + 3, x 2 = c + d 3 nd,, c, d Q. Then: x 1 + x 2 = ( + 3) + (c + d 3) = ( + 3) + (d 3 + c) y commuttive property of ddition on R = + ( 3 + d 3) + c y ssocitivity of ddition on R = + ( + d) 3 + c ecuse ddition nd multipliction re distriutive opertions on R = ( + c) + ( + d) 3 y commuttive nd ssocitive property of ddition on R Thus, x 1 + x 2 = ( + c) + ( + d) 3 F 1 ecuse e = + c Q nd f = + d Q F 1 closed under ddition. x 1 x 2 = ( + 3) (c + d 3) = (d 3 + c) + 3 (c + d 3) ecuse ddition nd multipliction re distriutive opertions on R = d 3 + c + 3c + 3d 3 ecuse ddition nd multipliction re distriutive opertions on R = (d 3 + c 3) + c + d 3 3 y ssocitivity nd commuttive property of ddition nd multipliction on R = (d + c) 3 + c + 3d ecuse ddition nd multipliction re distriutive opertions on R = (c + 3d) + (d + c) 3 y commuttive property nd ssocitivity of ddition on R Thus, x 1 x 2 = (c + 3d) + (d + c) 3 F 1 ecuse e = c + 3d Q nd f = d + c Q F 1 closed under multipliction. F1: Commuttive property for ddition nd multipliction Let x 1, x 2 F 1 with x 1 = + 3, x 2 = c + d 3 nd,, c, d Q. Then: x 1 + x 2 = (, ) + (c, d) = ( + c, + d) As proved ove = (c +, d + ) y commuttive property of ddition on R = (c, d) + (, ) = x 2 + x 1 Since x 1 + x 2 = x 2 + x 1, ddition is commuttive on F 1. 5

x 1 x 2 = (, ) (c, d) = (c + 3d, d + c) As proved ove = (c + 3d, d + c) y commuttive property of multipliction on R = (c, d) (, ) = x 2 x 1 Since x 1 x 2 = x 2 x 1, multipliction is commuttive on F 1. F2: Associtivity for ddition nd multipliction Let x 1, x 2, x 3 F 1 with x 1 = + 3, x 2 = c + d 3, x 3 = e + f 3 nd,, c, d, e, f Q. Then: (x 1 + x 2 ) + x 3 = ((, ) + (c, d)) + (e, f) = ( + c, + d) + (e, f) = (( + c) + e, ( + d) + f) = ( + (c + e), + (d + f)) y ssocitivity of ddition on R = (, ) + (c + e, d + f) = (, ) + ((c, d) + (e, f)) = x 1 + (x 2 + x 3 ) Since (x 1 + x 2 ) + x 3 = x 1 + (x 2 + x 3 ), ddition is ssocitive on F 1. (x 1 x 2 ) x 3 = ((, ) (c, d)) (e, f) = (c + 3d, d + c) (e, f) = ((c + 3d) e + 3 (d + c) f, (c + 3d) f + (d + c) e) = (ce + 3de + 3df + 3cf, cf + 3df + de + ce) = (ce + 3df + 3de + 3cf, cf + de + 3df + ce) = (ce + 3df + 3de + 3cf, cf + de + 3df + ce) = ( (ce + 3df) + 3 (de + cf), (cf + de) + (3df + ce)) = (, ) (ce + 3df, cf + de) = (, ) ((c, d) (e, f)) = x 1 (x 2 x 3 ) ddition nd multipliction re distriutive on R ssocitivity of ddition on R ssocitivity of multipliction on R ddition nd multipliction re distriutive on R Since (x 1 x 2 ) x 3 = x 1 (x 2 x 3 ), multipliction is ssocitive on F 1. F3: Existence of identity elements for ddition nd multipliction Let x 1, 0 F1 F 1 with x 1 = + 3, 0 F1 = 0 = 0 + 0 3 nd,, 0 Q. Then: x 1 + 0 F1 = (, ) + (0,0) = ( + 0, + 0) = (, ) = x 1 y definition of 0 on R Therefore, 0 F1 = (0,0) F 1 is the dditive identity element for F 1 6

Let x 1, 1 F1 F 1 with x 1 = + 3, 0 F1 = 1 = 1 + 0 3 nd,, 1,0 Q. Then: x 1 1 F1 = (, ) + (1,0) = ( 1 + 3 0, 0 + 1) = (, ) y definition of 0 nd 1 on R = x 1 Therefore, 1 F1 = (1,0) F 1 is the multiplictive identity element for F 1. Moreover, we hve (0,0) (1,0) 0 F1 1 F1. Finlly, 1 F1, 0 F1 F 1 such tht F 1, + 0 F1 = 1 F1 = with 0 F1 1 F1. F4: Existence of inverses for ddition nd multipliction Let x 1, x 2 F 1 with x 1 = + 3, x 2 = c + d 3 nd,, c, d Q. Then: x 1 + x 2 = 0 F1 (, ) + (c, d) = (0,0) ( + c, + d) = (0,0) + c = 0 + d = 0 c = x 2 = (, ) Moreover,, Q, Q x 2 F 1. Finlly, x 1 F 1, x 2 = (, ) F 2 such tht x 1 + x 2 = 0 F1. Let x 1, x 2 F 1 with x 1 = + 3, x 2 = c + d 3 nd,, c, d Q such tht x 1 0 F1 x 2 0 F1. Then: x 1 x 2 = 1 F1 (, ) + (c, d) = (1,0) (c + 3d, d + c) = (1,0) c + 3d = 1 d + c = 0 d + ( 1 3d 2 d + 32 d ) = 0 = 0 Assuming tht 0 WLOG (since x 1 0 0 0) 2 d + 3 2 d = 0 2 d 3 2 d ( 2 3 2 ) = 7

Moreover: 2 3 2 = 0 2 = 3 2 = 3 = 3. But,, Q such tht = 3 = 3 if 0 0. Therefore,, Q such tht 0 0, 2 3 2 0. { ( 2 3 2 ) 1 3 ( c = 2 3 2) { ( 2 3 2 ) 1 c = 2 3 2 (2 3 2 3 ( )) { ( 2 3 2 ) c = 2 3 2 + 3 2 ( 2 3 2 ) { ( 2 3 2 ) 2 c = ( 2 3 2 ) { ( 2 3 2 ) x 2 = ( ( 2 3 2 ), ( 2 3 2 ) ) Moreover,, Q Q Q x ( 2 3 2 ) ( 2 3 2 ) 2 F 1. Finlly, x 1 F 1, x 2 F 2 such tht x 1 x 2 = 1 F1. F5: Distriutive property of ddition nd multipliction Let x 1, x 2, x 3 F 1 with x 1 = + 3, x 2 = c + d 3, x 3 = e + f 3 nd,, c, d, e, f Q. Then: x 1 (x 2 + x 3 ) = (, ) ((c, d) + (e, f)) = (, ) (c + e, d + f) = ( (c + e) + 3 (d + f), (d + f) + (c + e)) = (c + e + 3d + 3f, d + f + c + e) ddition nd multipliction re distriutive on R = ((c + 3d) + (e + 3f), (d + c) + (f + e)) = (c + 3d, d + c) + (e + 3f, f + e) = (, ) (c, d) + (, ) (e, f) = x 1 x 2 + x 1 x 3 commuttive property nd ssocitivity of ddition on R 8

Finlly, x 1, x 2, x 3 Q, x 1 (x 2 + x 3 ) = x 1 x 2 + x 1 x 3 To conclude, F 1 is set endowed with two inry opertions : F 1 F 1 F 1 nd +: F 1 F 1 F 1, which hs two specil elements 0 F1, 1 F1 F 1 such tht 0 F1 1 F1 nd stisfies the five properties of field. Therefore, F 1 is field. 5.2. Is the set F 2 = { + 3, Z} (with the sme ddition nd multipliction) lso field? Suppose tht F 2 is field. Notice tht 1 F2 = (1,0) F 2 with 1,0 Z is the identity element for multipliction since x = (, ) F 2 with, Z, we hve: ( + 3) (1 + 0 3) = ( + 3) 1 = ( + 3) x 1 F1 = x x F 2 Moreover, we lso note tht 0 F2 = (0,0) F 2 with 0 Z is the identity element for ddition since x = (, ) F 2 with, Z, we hve: ( + 3) + (0 + 0 3) = ( + 3) + 0 = ( + 3) x + 0 F2 = x x F 2 Since 1 Z, x 1 = (1,1) F 1. Moreover, since x 1 Z, x 2 F 2 such tht x 2 = (, ) with, Z nd x 1 x 2 = 1 F2 such tht x 2 0 F2. Therefore, we hve: (1 + 3) ( + 3) = 1 + 3 + 3 + 3 = 1 + 3 + ( + ) 3 = 1 + 3 = 1 since, Z + = 0 + 3 = 1 ecuse 0 0 = = 1 2 = = 1 2 = 1 2 Therefore, x 2 = ( 1 2, 1 2 ) is the inverse of (1,1). This contrdicts the fct tht, Z for x 2 = (, ) F 2. Thus, for x 1 = (1,1) F 2, x 2 F 2 such tht x 1 x 2 = 1 F2. Hence F 2 is not field. 9