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Math 141-copyright Joe Kahlig, 10B Page 1
Section 2.4: Introduction to Matrices
Definition: A matrix is a rectangular array of numbers. The order or dimension of a matrix is
m×nwhere m is the number of rows and n is the number of columns. The element in the ith row
and the jth column of matrix A is denoted a or A =A . If the number of rows and columns
i;j (i;j) i;j
are equal, then the matrix is called a square matrix.
Example: Use these matrices in the following.
" 3 2 1 # 1 h i 1 3 0
A= B= 8 C= 0 2 5 6 D= 4 10 7
4 5 7 4 5 2 6
A) Give the dimension of the above matrices.
B) A = B =
2;3 2;1
C) 4C +2A −7D =
1;3 1;2 2;2
Definition: Scalar multiplication is multiplying a matrix by a constant.
Example : If A= " 1 2 3 # and B = " 2 0 −3 #, compute
4 5 6 7 1 0
2A= −1B=
Addition and Subtraction of Matrices: Two matrices of the same dimension can be added( or
subtracted) by adding (or subtracting) corresponding entries.
Example: Compute the following (if possible) with these matrices.
" 1 2 3 # " 2 0 −3 # 3 2 " 1 4 0 #
A= B= , C= 1 6 D=
4 5 6 7 1 0 0 5 2 3 8
A) A+C =
B) A+B=
Math 141-copyright Joe Kahlig, 10B Page 2
C) 3A+2B =
D) D−B=
E) 1:7A−3:1B +2:4D =
T
F) A =
Example: Find a matrix J such that JT = J
Example: Solve for x and y.
3" 5 3 #+" 3 2x #T = " 18 −1 #
y 7 −y −2 14 19
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