IB Math SL - Santowski1 T4.2 – Multiplication of Matrices IB Math SL - Santowski.
IB Math SL - Santowski1 Lesson 54 – Multiplication of Matrices Math 2 Honors - Santowski.
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Transcript of IB Math SL - Santowski1 Lesson 54 – Multiplication of Matrices Math 2 Honors - Santowski.
IB Math SL - Santowski 1
Lesson 54 – Multiplication of Matrices
Math 2 Honors - Santowski
Lesson Objectives
(1) Review simple terminology associated with matrices
(2) Review simple operations with matrices (+,-, scalar multiplication)
(3) Compare properties of numbers with matrices (and at the same time introduce the use of the GDC)
(4) Multiply matrices
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(F) Properties of Matrix Addition
Ordinary Algebra with Real numbers
Matrix Algebra
if a and b are real numbers, so is the product a+b
Commutative:
a + b = b + a for all a,b
Associative:
(a + b) + c = a + (b + c)
Additive Identity:
a + 0 = 0 + a = a for all a
Additive Inverse:
a + (-a) = (-a) + a = 0
TI-84 and Matrices
Here are the screen captures on HOW to use the TI-84 wherein we test our properties of matrix addition
Use 2nd x-1 to access the matrix menu
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(F) Properties of Matrix Addition
Ordinary Algebra with Real numbers
Matrix Algebra
if a and b are real numbers, so is the product a+b
if A and B are matrices, so is the sum A + B provided that …..
Commutative:
a + b = b + a for all a,b
in general, A + B = B + A provided that …..
Associative:
(a + b) + c = a + (b + c)
(A + B) + C = A + (B + C) is true provided that …..
Additive Identity:
a + 0 = 0 + a = a for all a
A + 0 = 0 + A = A for all A where 0 is the zero matrix
Additive Inverse:
a + (-a) = (-a) + a = 0
A + (-A) = (-A) + A = 0
Multiplying Matrices - Generalized Example If we multiply a 2×3 matrix with a 3×1 matrix, the product
matrix is 2×1
Here is how we get M11 and M22 in the product.
M11 = r11× t11 + r12× t21 + r13×t31
M12 = r21× t11 + r22× t21 + r23×t31
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21
11
31
21
11
232221
131211
M
M
t
t
t
rrr
rrr
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(B) Matrix Multiplication - Summary Summary of Multiplication process
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(D) Examples for Practice
Multiply the following matrices:
642
432
321
1-10
1-01
001
(f)
011
203
024
122
213 (e)
31
1-2
10
11 (d)
011
203
024
2-1-3 (c)
10
11
31
1-2 (b)
002
110
011
751
1102 (a)
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(D) Examples for Practice
Multiply the following matrices:
u
t
s
(b)
dc
ba (a)
zw
yv
xu
fed
cba
zy
xw
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(E) Examples for Practice – TI-84 Here are the key steps involved in using the TI-84
10
11
31
1-2 (a)
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(E) Examples for Practice – TI-84 Here are the key steps involved in using the TI-84
011
203
024
122
213 (a)
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(F) Properties of Matrix Multiplication Now we pass from the concrete to the
abstract What properties are true of matrix multiplication where we simply have a matrix (wherein we know or don’t know what elements are within)
Asked in an alternative sense what are the general properties of multiplication (say of real numbers) in the first place???
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(F) Properties of Matrix Multiplication
Ordinary Algebra with Real numbers
Matrix Algebra
if a and b are real numbers, so is the product ab
ab = ba for all a,b
a0 = 0a = 0 for all a
a(b + c) = ab + ac
a x 1 = 1 x a = a
an exists for all a > 0
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(C) Key Terms for Matrices
We learned in the last lesson that there is a matrix version of the addition property of zero.
There is also a matrix version of the multiplication property of one.
The real number version tells us that if a is a real number, then a*1 = 1*a = a.
The matrix version of this property states that if A is a square matrix, then A*I = I*A = A, where I is the identity matrix of the same dimensions as A.
Definition An identity matrix is a square matrix with ones along the main diagonal and zeros elsewhere.
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(C) Key Terms for Matrices
Definition An identity matrix is a square matrix with ones along the main diagonal and zeros elsewhere.
So, in matrix multiplication A x I = I x A = A
1000
0100
0010
0001
100
010
001
10
01I
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(F) Properties of Matrix Multiplication
Ordinary Algebra with Real numbers
Matrix Algebra
if a and b are real numbers, so is the product ab
if A and B are matrices, so is the product AB
ab = ba for all a,b in general, AB ≠ BA
a0 = 0a = 0 for all a A0 = 0A = 0 for all A where 0 is the zero matrix
a(b + c) = ab + ac A(B + C) = AB + AC
a x 1 = 1 x a = a AI = IA = A where I is called an identity matrix and A is a square matrix
an exists for all a > 0 An for {n E I | n > 2} and A is a square matrix
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(F) Properties of Matrix Multiplication This is a good place to use your calculator if it
handles matrices. Do enough examples of each to convince yourself of your answer to each question
(1) Does AB = BA for all B for which matrix multiplication is defined if ?
(2) In general, does AB = BA? (3) Does A(BC) = (AB)C? (4) Does A(B + C) = AB + AC?
a
aA
0
0
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(F) Properties of Matrix Multiplication This is a good place to use your calculator if it
handles matrices. Do enough examples of each to convince yourself of your answer to each question
(6) Does A - B = -(B - A)?
(7) For real numbers, if ab = 0, we know that either a or b must be zero. Is it true that AB = 0 implies that A or B is a zero matrix?
Internet Links
http://www.intmath.com/matrices-determinants/3-matrices.php
http://www.purplemath.com/modules/mtrxadd.htm
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