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4.1 Using Matrices
Warm-up (IN)
Learning Objective: to represent mathematical and real-world data in a matrix and to find sums, differences and scalar products of matrices.
Evaluate each expression for a=-5, b=1.3 and c=-7.
1. a+b 2. b-c 3. a-b+c 4. -4b
Solve each equation:
5. 16=2x-5 6. 3y+8=-y-15
-3.7 8.3 -13.3 -5.2
x=10.5
y=-5.75
Matrix –
Notes
Dimensions –
Learning Objective: to represent mathematical and real-world data in a matrix and to find sums, differences and scalar products of matrices.
A rectangular array of #s enclosed in single set of brackets
columnsrows ##
431
807
532row
column
33
Entry (or element) – each # in the matrix
1135
9108 32address –
21mrow 2
column 1
5
Learning Objective: to represent mathematical and real-world data in a matrix and to find sums, differences and scalar products of matrices.
2 matrices are equal if they have the same dimensions and corresponding entries are equivalent
EX 1 – Solve for x and y:
1127
15921
1327
15954
yy
x
54 x 21x4 16x 4
32 y 12y
15 y3y 5
EX 2 –
01022
3162 and
3111
295Let NM
NM find a.
3 15 2933 9 3
NM find a.
7 3 3311 11 3
Learning Objective: to represent mathematical and real-world data in a matrix and to find sums, differences and scalar products of matrices.
EX 3 – .2 find
1002
631
023
Let AA
6 4 02 6 124 0 20
Scalar Multiplication
Learning Objective: to represent mathematical and real-world data in a matrix and to find sums, differences and scalar products of matrices.
EX 4 – Represent the quadrilateral as matrix R
E(-4,4)
F(3,1)
H(-4,-3) G(0,-4)
R
E
44
F
31
G
0
4
H
43
Learning Objective: to represent mathematical and real-world data in a matrix and to find sums, differences and scalar products of matrices.
EX 5 – Graph the polygon that is represented by the matrix described below
a. 3R
R
44
31
0
443
1212
93
0
12129
b. 1/3R
3
4
3
4
1
3
1
0
3
4
3
4
1
Learning Objective: to represent mathematical and real-world data in a matrix and to find sums, differences and scalar products of matrices.
HW – p. 221-224 #13-45 odd, 59-62, 66
Out – explain how to represent a polygon in the coordinate plane as a matrix.
Summary – today I learned…