A GROUP has the following properties: Closure Associativity Identity every element has an Inverse.

Slides:



Advertisements
Similar presentations
Vector Spaces A set V is called a vector space over a set K denoted V(K) if is an Abelian group, is a field, and For every element vV and K there exists.
Advertisements

Unit one Adding & Subtracting Integers. 1 st ) Adding two positive integers Find the result then represent it on the number line = *
Mathematical Foundations of Crystallography Bill Stein Bill Stein Adam Cloues Adam Cloues David Bauer David Bauer Britt Wooldridge Britt Wooldridge Mang.
Properties of Real Numbers. Closure Property Commutative Property.
1 Operations with Matrice 2 Properties of Matrix Operations
Basics of Linear Algebra A review?. Matrix  Mathematical term essentially corresponding to an array  An arrangement of numbers into rows and columns.
Sets and Expressions Number Sets
Chapter 1: Preliminary Information Section 1-1: Sets of Numbers.
Weslaco ISD Created by: H. Nieto. Short Vowels a as in at.
Overview Definitions Basic matrix operations (+, -, x) Determinants and inverses.
Matrices. Definitions  A matrix is an m x n array of scalars, arranged conceptually as m rows and n columns.  m is referred to as the row dimension.
Properties of Real Numbers
Math 3121 Abstract Algebra I Lecture 9 Finish Section 10 Section 11.
Properties of Real Numbers List of Properties of Real Numbers Commutative Associative Distributive Identity Inverse.
Properties of Real Numbers Algebra A Unit 1, Lesson 4.
1. Vector Space 24. February Real Numbers R. Let us review the structure of the set of real numbers (real line) R. In particular, consider addition.
Properties of Real Numbers
Chapter 8 Integers.
Chapter 2 Real Numbers and algebraic expressions ©2002 by R. Villar All Rights Reserved Re-engineered by Mistah Flynn 2015.
Math 344 Winter 07 Group Theory Part 1: Basic definitions and Theorems.
SLEs Investigate some of the approximations to π which have been used.
CS Lecture 14 Powerful Tools     !. Build your toolbox of abstract structures and concepts. Know the capacities and limits of each tool.
1 Space groups Translations T = ut 1 (1-D) u is an integer The set of all lattice vectors is a group (the set of all integers (±) is a group)
1.4 Identity and Equality Properties The sum of any number and 0 is equal to the number. So, 0 is called the additive identity. a + 0 = 0 + a = a
Distributive Commutative Addition Zero Property Additive Inverse 0 Multiplicative Identity Commutative Multiplication Multiplicative Inverse Additive Identity.
Chapter 4 Vector Spaces Linear Algebra. Ch04_2 Definition 1: ……………………………………………………………………. The elements in R n called …………. 4.1 The vector Space R n Addition.
1-1 Properties of Real Numbers Big Idea: -Graph, order, identify, and use properties of real numbers.
Chapter 2 Lesson 2 Adding Integers pgs What you will learn: *Add two or more integers.
2 - 1 Chapter 2A Matrices 2A.1 Definition, and Operations of Matrices: 1 Sums and Scalar Products; 2 Matrix Multiplication 2A.2 Properties of Matrix Operations;
Two sets:VECTORS and SCALARS four operations: A VECTOR SPACE consists of: A set of objects called VECTORS with operation The vectors form a COMMUTATIVE.
© 2010 Pearson Prentice Hall. All rights reserved. CHAPTER 13 Mathematical Systems.
Prepared By Meri Dedania (AITS) Discrete Mathematics by Meri Dedania Assistant Professor MCA department Atmiya Institute of Technology & Science Yogidham.
Properties of Algebra. 7 + ( ) = ( ) + 9.
5.2 Multiplication, Division, and Other Properties of Integers Remember to silence your cell phone and put it in your bag!
Vector Spaces B.A./B.Sc. III: Mathematics (Paper II) 1 Vectors in Rn
Linear Algebra review (optional)
Unit-III Algebraic Structures
Group.
The Basic Properties of
Properties of Operations
Commutative Property of Addition
Properties of Addition and Multiplication
Great Theoretical Ideas In Computer Science
A mathematical system - that is an algebra - consists of at least
Properties of Operations For Addition and Multiplication
Matrix Operations SpringSemester 2017.
Lesson 2.3 Properties of Addition
GROUP Closure Associativity Identity
Commutative Properties
Commutative Property Associative Property A. Addition
PROPERTIES OF ALGEBRA.
Section 10.1 Groups.
Section 10.2 Finite Mathematical Systems
1.3 Properties of Real Numbers
Elementary Linear Algebra
Basics of Linear Algebra
FIELD.
Vector Spaces 1 Vectors in Rn 2 Vector Spaces
a linear transformation from V into V
2 Activity 1: 5 columns Write the multiples of 2 into the table below. What patterns do you notice? Colour the odd numbers yellow and the even numbers.
Linear Algebra review (optional)
Rayat Shikshan Sanstha’s S.M.Joshi College, Hadapsar -28
Activity 1: 5 columns Write the multiples of 3 into the table below. What patterns do you notice? Colour the odd numbers yellow and the even numbers blue.
Activity 1: 5 columns Write the multiples of 9 into the table below. What patterns do you notice? Colour the odd numbers yellow and the even numbers blue.
Matrix Operations SpringSemester 2017.
Commutative Property Associative Property A. Addition
PROPERTIES OF REAL NUMBERS Commutative Property Associative Property Distributive Property Identity Property + x Inverse Property + X.
Section 9.1 Groups.
Finite Mathematical Systems
Presentation transcript:

A GROUP has the following properties: Closure Associativity Identity every element has an Inverse

G = { i, k, m, p, r, s } is a group with operation * as defined below: G has CLOSURE: for all x and y in G, x*y is in G. The IDENTITY is i : for all x in G, ix = xi = x Every element in G has an INVERSE: k*m = i p*p = i r*r = i s*s = i

G has ASSOCIATIVITY: for every x, y, and z in G, (x*y)*z = x*(y*z) for example: ( k*p )* r ( s )* r m = k* ( p* r ) k* ( k ) m

G = { i, k, m, p, r, s } is a group with operation * as defined below: G does NOT have COMMUTATIVITY: p*r = r*p

H = { i, k, m } is a SUBGROUP

H = { i, k, m } is a SUBGROUP definition: If G is a group, H is a subgroup of G, and g is a member of G then we define the left coset gH: gH = { gh / h is a member of of H }

H = { i, k, m } is a SUBGROUP definition: If G is a group, H is a subgroup of G, and g is a member of G then we define the left coset gH: gH = { gh / h is a member of of H } Example: to form the coset r H

H = { i, k, m } is a SUBGROUP definition: If G is a group, H is a subgroup of G, and g is a member of G then we define the left coset gH: gH = { gh / h is a member of of H } Example: to form the coset r H H = { i, k, m } rrrr

is a SUBGROUP definition: If G is a group, H is a subgroup of G, and g is a member of G then we define the left coset gH: gH = { gh / h is a member of of H } Example: to form the coset r H H = { i, k, m } rrrr = { r, s, p } s p r

H = { i, k, m } = a subgroup The COSETS of H are: iH = { i*i, i*k, i*m }={i,k,m} kH = { k*i, k*k, k*m }={k,m,i} mH = {m*i,m*k, m*m}={m,i,k} pH = { p*i, p*k, p*m }={p,r,s} rH = { r*i, r*k, r*m }={r,s,p} sH = { s*i, s*k, s*m }={s,p,r}

The cosets of a subgroup form a group: A B A A B B B A

M = { A,B,C,D,E,F,G,H } is a noncommutative group. N = { B, C, E, G } is a subgroup of M

The cosets of N = { B, C, E, G } are: AN = { D,F,A,H } DN = { F,H,D,A } FN = { H,A,F,D } HN = { A,D,H,F } BN = { C,G,B,E } CN = { G,E,C,B } EN = { B,C,E,G } GN = { E,B,G,C }

Rearrange the elements of the table so that members or each coset are adjacent and see the pattern!

Q is a commutative group R = { c, f, I } is a subgroup of Q

The cosets of R: { d,g,a } { e,h,b,} { c,f,I }

a b c d e f g h i The cosets of a subgroup partition the group: LAGRANGE’S THEOREM: the order of a subgroup is a factor of the order of the group. ie: every member of the group belongs to exactly one coset. (The “order” of a group is the number of elements in the group.)

If we rearrange the members of Q, we can see that the cosets form a group

example 1: the INTEGERS with the operation + closure: the sum of any two integers is an integer. associativity: ( a + b ) + c = a + ( b + c ) identity: 0 is the identity every integer x has an inverse -x {………-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, …………} The multiples of three form a subgroup of the integers: {………-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, …………} With coset: (add 1 to every member of T) Z T

example 1: the INTEGERS with the operation + closure: the sum of any two integers is an integer. associativity: ( a + b ) + c = a + ( b + c ) identity: 0 is the identity every integer x has an inverse -x {………-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, …………} The multiples of three form a subgroup of the integers: {………-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, …………} With coset: (add 1 to every member of T) Z T and coset (add 2 to every member of T)

example 2: The set of all points on the plane with operation + defined: The identity is the origin. R 2 = example 3: The set of points on a line through the origin is a SUBGROUP of R 2. eg: y = 2x If the vector is added to every point on y = 2x You get a coset of L L=L=

Theorem: Every group has the cancellation property. No element is repeated in the same row of the table. No element is repeated in the same column of the table.

Theorem: Every group has the cancellation property. No element is repeated in the same row of the table. No element is repeated in the same column of the table. Because r is repeated in the row, if a x = a y you cannot assume that x = y. In other words, you could not “cancel” the “a’s”

Theorem: Every group has the cancellation property. No element is repeated in the same row of the table. No element is repeated in the same column of the table. If then In a group, every element has an inverse and you have associativity.

COMPLETE THE TABLE TO MAKE A GROUP:

What is the IDENTITY? If r were the identity, then rw would be w If s were the identity, then sv would be v If w were the identity, then wr would be r

The IDENTITY is t r tr = r

The IDENTITY is t r tr = r ts = s s

The IDENTITY is t r tr = r ts = s s tt = t t tu = u u tv = v v tw = w w

The IDENTITY is t r s tt = t t u v w and rt = r r st = s s ut = u u vt = v v wt = w w

sv = t s and v are INVERSES vs = t t

u is its own inverse

INVERSES: sv = t tt = t uu = t What about w and r ? w and r are not inverses. w w = t and rr = t t t

CANCELLATION PROPERTY: no element is repeated in any row or column u and w are missing in yellow column There is a u in blue row uv must be w rv must be u w u

u and v are missing in yellow column There is a u in blue row uw must be v vw must be u v u

s and u are missing r and w are missing r and s are missing s r r w u s u is missing u

Why is the cancellation property useless in completing the remaining four spaces? v and w are missing from each row and column with blanks. We can complete the table using the associative property.

( r s ) w = r ( s w ) ( r s ) w = r ( r ) ( r s ) w = t w w ASSOCIATIVITY

w v w v