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Class 12Algebra11:44Published 10 Jul 2024

Sure Questions on Matrices (Class 12)

Worked solutions to commonly asked Class 12 matrix questions, covering the commutative and associative laws of matrix addition, solving for unknowns in a matrix equation, and finding a constant from a matrix product.

This lesson walks through a set of exam-favourite matrix problems for Class 12. It demonstrates the commutative and associative properties of matrix addition with concrete examples, solves a matrix equation for two unknowns by turning it into a pair of linear equations, and finds an unknown constant by computing a matrix squared and comparing it to a given expression. Each example is solved step by step so the methods are easy to follow.

What you'll learn

  • How the commutative and associative laws work for adding matrices
  • Solving for two unknowns by rewriting a matrix equation as simultaneous equations
  • Squaring a matrix by multiplying it row by column with itself
  • Finding an unknown constant by comparing matching entries of two matrices

Lesson chapters

0:08Commutative law of matrix addition
1:53Associative law of matrix addition
5:04Solving a matrix equation for x and y
6:51Finding k from a matrix squared

Lesson notes

This lesson works through several frequently asked Class 12 matrix questions: the commutative and associative laws of matrix addition, solving a matrix equation for two unknowns, and finding an unknown constant from a matrix product.

Commutative law of matrix addition

With A=[123245]A = \begin{bmatrix} 1 & 2 & 3 \\ 2 & 4 & 5 \end{bmatrix} and B=[142346]B = \begin{bmatrix} 1 & 4 & -2 \\ 3 & 4 & 6 \end{bmatrix}, we check that A+B=B+AA + B = B + A.

Left side. Adding entry by entry:

A+B=[1+12+43+(2)2+34+45+6]=[2615811]A + B = \begin{bmatrix} 1+1 & 2+4 & 3+(-2) \\ 2+3 & 4+4 & 5+6 \end{bmatrix} = \begin{bmatrix} 2 & 6 & 1 \\ 5 & 8 & 11 \end{bmatrix}

Right side. Adding in the other order gives the same result:

B+A=[1+14+22+33+24+46+5]=[2615811]B + A = \begin{bmatrix} 1+1 & 4+2 & -2+3 \\ 3+2 & 4+4 & 6+5 \end{bmatrix} = \begin{bmatrix} 2 & 6 & 1 \\ 5 & 8 & 11 \end{bmatrix}

Since both sides match, A+B=B+AA + B = B + A. This is the commutative property of matrix addition.

Associative law of matrix addition

If AA, BB, CC are matrices of the same order, then (A+B)+C=A+(B+C)(A + B) + C = A + (B + C). Take

A=[1234],B=[4567],C=[0123]A = \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix}, \quad B = \begin{bmatrix} 4 & 5 \\ 6 & 7 \end{bmatrix}, \quad C = \begin{bmatrix} 0 & 1 \\ 2 & 3 \end{bmatrix}

Left side. First A+B=[57911]A + B = \begin{bmatrix} 5 & 7 \\ 9 & 11 \end{bmatrix}, then add CC:

(A+B)+C=[5+07+19+211+3]=[581114](A + B) + C = \begin{bmatrix} 5+0 & 7+1 \\ 9+2 & 11+3 \end{bmatrix} = \begin{bmatrix} 5 & 8 \\ 11 & 14 \end{bmatrix}

Right side. First B+C=[46810]B + C = \begin{bmatrix} 4 & 6 \\ 8 & 10 \end{bmatrix}, then add AA:

A+(B+C)=[1+42+63+84+10]=[581114]A + (B + C) = \begin{bmatrix} 1+4 & 2+6 \\ 3+8 & 4+10 \end{bmatrix} = \begin{bmatrix} 5 & 8 \\ 11 & 14 \end{bmatrix}

Both sides give the same matrix, so (A+B)+C=A+(B+C)(A + B) + C = A + (B + C). This is the associative law.

Solving a matrix equation for x and y

Given

x[23]+y[11]=[105]x \begin{bmatrix} 2 \\ 3 \end{bmatrix} + y \begin{bmatrix} -1 \\ 1 \end{bmatrix} = \begin{bmatrix} 10 \\ 5 \end{bmatrix}

the left side becomes [2xy3x+y]\begin{bmatrix} 2x - y \\ 3x + y \end{bmatrix}. Comparing entries gives two equations:

2xy=10(1)3x+y=5(2)2x - y = 10 \quad (1) \qquad 3x + y = 5 \quad (2)

Adding (1)(1) and (2)(2) removes yy:

5x=15    x=35x = 15 \implies x = 3

Substituting x=3x = 3 into (1)(1): 6y=106 - y = 10, so y=4-y = 4, giving y=4y = -4.

So x=3x = 3 and y=4y = -4. Check in (2)(2): 3(3)+(4)=53(3) + (-4) = 5. ✓

Finding k from a matrix squared

Given A=[3242]A = \begin{bmatrix} 3 & -2 \\ 4 & -2 \end{bmatrix} and I=[1001]I = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}, find kk such that A2=kA2IA^2 = kA - 2I.

Compute A2=AAA^2 = A \cdot A by multiplying rows into columns:

A2=[33+(2)(4)3(2)+(2)(2)43+(2)(4)4(2)+(2)(2)]=[1244]A^2 = \begin{bmatrix} 3 \cdot 3 + (-2)(4) & 3(-2) + (-2)(-2) \\ 4 \cdot 3 + (-2)(4) & 4(-2) + (-2)(-2) \end{bmatrix} = \begin{bmatrix} 1 & -2 \\ 4 & -4 \end{bmatrix}

Set up the right side. With kA2I=[3k2k4k2k][2002]=[3k22k4k2k2]kA - 2I = \begin{bmatrix} 3k & -2k \\ 4k & -2k \end{bmatrix} - \begin{bmatrix} 2 & 0 \\ 0 & 2 \end{bmatrix} = \begin{bmatrix} 3k - 2 & -2k \\ 4k & -2k - 2 \end{bmatrix}.

Compare entries. Equating A2A^2 with kA2IkA - 2I entry by entry:

1=3k2    3k=3    k=11 = 3k - 2 \implies 3k = 3 \implies k = 1

The other entries agree too: 2=2k-2 = -2k, 4=4k4 = 4k, and 4=2k2-4 = -2k - 2 all give k=1k = 1.

Key takeaways

  • Matrix addition is commutative (A+B=B+AA + B = B + A) and associative ((A+B)+C=A+(B+C)(A + B) + C = A + (B + C)).
  • A matrix equation in unknowns can be split into ordinary equations by comparing corresponding entries, then solved like simultaneous equations.
  • To compare two equal matrices, match their corresponding entries; any one matching pair can be enough to solve for an unknown constant.