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In the world of matrices, we often need to compare two or more matrices. One important concept in this comparison is matrix equality. Two matrices are said to be equal if they meet certain conditions.
Two matrices, let's say matrix A A A and matrix B B B , are said to be equal (written as A = B A=B A = B ) if and only if both of the following conditions are met:
Same Order : Matrix A A A and matrix B B B must have the same order (number of rows and columns). If matrix A A A has an order of m × n m \times n m × n , then matrix B B B must also have an order of m × n m \times n m × n .
Corresponding Elements are Equal : Every corresponding element (located in the same row and column position) in matrix A A A and matrix B B B must have the same value. If A = [ a i j ] A = [a_{ij}] A = [ a ij ] and B = [ b i j ] B = [b_{ij}] B = [ b ij ] , then for all values of (row index) and (column index).
If one of these two conditions is not met, then matrix A A A is not equal to matrix B B B (written as A ≠ B A \neq B A = B ).
Matrix P P P and matrix Q Q Q are equal (P = Q P=Q P = Q ) because:
Both have an order of 2 × 2 2 \times 2 2 × 2 .
Corresponding elements have the same value:
p 11 = q 11 = 1 p_{11} = q_{11} = 1 p 11 = q 11 = 1 , p 12 = q 12 = 2 p_{12} = q_{12} = 2 p 12 = q 12 = 2
, p 21 = q 21 = 3 p_{21} = q_{21} = 3 p 21 = q 21 = 3 , p 22 = q 22 = 4 p_{22} = q_{22} = 4 p 22 = q 22 = 4
.
Matrix R R R is not equal to matrix C C C (R ≠ C R \neq C R = C ) because the order of matrix R R R is 2 × 2 2 \times 2 2 × 2 , while the order of matrix C C C is 3 × 2 3 \times 2 3 × 2 .
Although matrix S S S and matrix T T T have the same order (2 × 2 2 \times 2 2 × 2 ), they are not equal (S ≠ T S \neq T S = T ) because the element in the 2 2 2 nd row and 1 1 1 st column is not the same (s 21 = − 2 s_{21} = -2 s 21 = − 2 while t 21 = 2 t_{21} = 2 t 21 = 2 ).
Given matrices A = [ − x 2 − 3 y z 2 ] A = \begin{bmatrix} -x & 2 \\ -3y & z^2 \end{bmatrix} A = [ − x − 3 y 2 z 2 ] and B = [ − 1 2 6 9 ] B = \begin{bmatrix} -1 & 2 \\ 6 & 9 \end{bmatrix} B = [ − 1 6 2 9 ] .
If matrix A A A is equal to matrix B B B (A = B A=B A = B ), determine the values of x x x , y y y , and z z z .
Since A = B A=B A = B , the corresponding elements must be equal:
a 11 = b 11 ⟹ − x = − 1 ⟹ x = 1 a_{11} = b_{11} \implies -x = -1 \implies x = 1 a 11 = b 11 ⟹ − x = − 1 ⟹ x = 1
a 12 = b 12 ⟹ 2 = 2 a_{12} = b_{12} \implies 2 = 2 a 12 = b 12 ⟹ 2 = 2 (already equal)
a 21 = b 21 ⟹ − 3 y = 6 ⟹ y = 6 − 3 ⟹ y = − 2 a_{21} = b_{21} \implies -3y = 6 \implies y = \frac{6}{-3} \implies y = -2 a 21 = b 21 ⟹ − 3 y = 6 ⟹ y = − 3 6 ⟹ y = − 2
a 22 = b 22 ⟹ z 2 = 9 ⟹ z = ± 9 ⟹ z = 3 or z = − 3 a_{22} = b_{22} \implies z^2 = 9 \implies z = \pm\sqrt{9} \implies z = 3 \text{ or} z = -3 a 22 = b 22 ⟹ z 2 = 9 ⟹ z = ± 9 ⟹ z = 3 or z = − 3
Thus, the values are x = 1 x=1 x = 1 , y = − 2 y=-2 y = − 2 , and z = ± 3 z = \pm 3 z = ± 3 .
Answer the following questions with True or False .
Two matrices having the same order is one of the conditions for the two matrices to be equal.
Two different matrices always have different orders.
If given matrix K = [ 2 0 0 2 ] K = \begin{bmatrix} 2 & 0 \\ 0 & 2 \end{bmatrix} K = [ 2 0 0 2 ] and matrix L = [ 2 0 0 2 0 0 ] L = \begin{bmatrix} 2 & 0 \\ 0 & 2 \\ 0 & 0 \end{bmatrix} L = 2 0 0 0 2 0 , then matrix K K K is equal to matrix L L L .
Given matrices P = [ 2 x 4 − 1 y + 3 ] P = \begin{bmatrix} 2x & 4 \\ -1 & y+3 \end{bmatrix} P = [ 2 x − 1 4 y + 3 ] and . If , determine the values of and .
If matrix A = [ − x − 3 y 0 ( x − 2 y ) 2 1 ] A = \begin{bmatrix} -x-3y & 0 \\ (x-2y)^2 & 1 \end{bmatrix} A = [ − x − 3 y ( x − 2 y ) 2 0 1 ] and is the identity matrix of order . If , determine the value of .
Calculate the value of a + b + c + d a+b+c+d a + b + c + d that satisfies the following matrix equality:
True . Having the same order is the first condition for two matrices to be equal.
False . Two different matrices can have the same order, but their corresponding elements are different (see Example 3 3 3 ).
False . Matrix K K K has an order of 2 × 2 2 \times 2 2 × 2 while matrix L L L has an order of 3 × 2 3 \times 2 3 × 2 . Since their orders are different, the two matrices are not equal.
Given P = Q P=Q P = Q :
The identity matrix I I I of order 2 × 2 2 \times 2 2 × 2 is I = [ 1 0 0 1 ] I = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} I = [ 1 0 0 1 ] .
Given the matrix equality:
a i j = b i j a_{ij} = b_{ij} a ij = b ij Q = [ − 10 4 − 1 2 ] Q = \begin{bmatrix} -10 & 4 \\ -1 & 2 \end{bmatrix} Q = [ − 10 − 1 4 2 ]
From the equality of corresponding elements:
From the equality of corresponding elements, we obtain a system of equations:
− x − 3 y = 1 -x-3y = 1 − x − 3 y = 1 (Equation 1 1 1 )
( x − 2 y ) 2 = 0 (x-2y)^2 = 0 ( x − 2 y ) 2 = 0 (Equation 2 2 2 )
Solve Equation 2 2 2 first:
Substitute Equation 2 2 2 ' into Equation 1 1 1 :
Substitute the value of y = − 1 5 y = -\frac{1}{5} y = − 5 1 into Equation 2 ′ 2' 2 ′ :
Then, the value of x + y x+y x + y is:
From the equality of corresponding elements, we obtain a system of equations:
a + 2 b = 3 a+2b = 3 a + 2 b = 3
2 a + b = − 3 2a+b = -3 2 a + b = − 3
c + d = 7 c+d = 7 c + d = 7
2 c + d = 1 2c+d = 1 2 c + d = 1
Solve the system of equations for a a a and b b b (equations 1 1 1 and 2 2 2 ):
To eliminate b b b , multiply equation (2 2 2 ) by 2 2 2 :
Subtract equation (1 1 1 ) from equation (2 2 2 '):
Substitute the value of a = − 3 a=-3 a = − 3 into equation (1 1 1 ):
Solve the system of equations for c c c and d d d (equations 3 3 3 and 4 4 4 ):
Subtract equation (3 3 3 ) from equation (4 4 4 ) to eliminate d d d :
Substitute the value of c = − 6 c=-6 c = − 6 into equation (3 3 3 ):
Then, the value of a + b + c + d a+b+c+d a + b + c + d is: