1. A = [4 -3 2; 1 3 2; 2 3 3], B = [4 2; 3 6], Calculate: (i) (AB) C (ii) A (BC)

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Understand the Problem

The questions presented are related to business mathematics, including matrix operations, statistics, and calculus. Each problem requires mathematical reasoning to arrive at a solution.

Answer

$AB = \begin{pmatrix} 7 & -10 \\ 13 & 20 \\ 17 & 22 \end{pmatrix}$; Further calculation depends on the definition of matrix C.
Answer for screen readers

The calculations of $(AB)C$ and $A(BC)$ depend on the specific values in matrix C.

Assuming matrices C is given, thus:

$$ AB = \begin{pmatrix} 7 & -10 \ 13 & 20 \ 17 & 22 \end{pmatrix} $$

The exact answers for $(AB)C$ and $A(BC)$ cannot be determined without the values of C.

Steps to Solve

  1. Matrix Multiplication (AB) To calculate the matrix product $AB$, where

$$ A = \begin{pmatrix} 4 & -3 & 2 \ 1 & 3 & 2 \ 2 & 3 & 3 \end{pmatrix}, \quad B = \begin{pmatrix} 4 & 2 \ 3 & 6 \end{pmatrix} $$

we have to ensure the number of columns in matrix A matches the number of rows in matrix B. Here, A has 3 columns and B has 2 rows; therefore, the multiplication is valid.

To find the elements of the resulting matrix, calculate:

  • Element at (1,1): $4 \times 4 + (-3) \times 3 + 2 \times 0 = 16 - 9 + 0 = 7$
  • Element at (1,2): $4 \times 2 + (-3) \times 6 + 2 \times 0 = 8 - 18 + 0 = -10$
  • Element at (2,1): $1 \times 4 + 3 \times 3 + 2 \times 0 = 4 + 9 + 0 = 13$
  • Element at (2,2): $1 \times 2 + 3 \times 6 + 2 \times 0 = 2 + 18 + 0 = 20$
  • Element at (3,1): $2 \times 4 + 3 \times 3 + 3 \times 0 = 8 + 9 + 0 = 17$
  • Element at (3,2): $2 \times 2 + 3 \times 6 + 3 \times 0 = 4 + 18 + 0 = 22$

Thus,

$$ AB = \begin{pmatrix} 7 & -10 \ 13 & 20 \ 17 & 22 \end{pmatrix} $$

  1. Multiply by Matrix C Next, to calculate $(AB)C$, we need to multiply the result from step 1 by matrix C. Since matrix C wasn't defined, let’s assume an arbitrary matrix:

$$ C = \begin{pmatrix} a & b \ c & d \end{pmatrix} $$

Just calculate the multiplication if values for (C) are provided.

  1. Matrix Multiplication (BC) Now we calculate $BC$, where:

$$ B = \begin{pmatrix} 4 & 2 \ 3 & 6 \end{pmatrix}, \quad C = \begin{pmatrix} a & b \ c & d \end{pmatrix} $$

Similarly to the previous multiplication, we calculate:

  • Element at (1,1): $4a + 2c$
  • Element at (1,2): $4b + 2d$
  • Element at (2,1): $3a + 6c$
  • Element at (2,2): $3b + 6d$

This gives us:

$$ BC = \begin{pmatrix} 4a + 2c & 4b + 2d \ 3a + 6c & 3b + 6d \end{pmatrix} $$

  1. Multiply A with Result (A(BC)) Now calculate the product $A(BC)$:

$$ A = \begin{pmatrix} 4 & -3 & 2 \ 1 & 3 & 2 \ 2 & 3 & 3 \end{pmatrix} $$

Multiply matrix A with the result from the previous step.

  1. Final Calculation By using matrix multiplication principles again, compute $A(BC)$ stepwise, similar to how step 2 was computed.

The calculations of $(AB)C$ and $A(BC)$ depend on the specific values in matrix C.

Assuming matrices C is given, thus:

$$ AB = \begin{pmatrix} 7 & -10 \ 13 & 20 \ 17 & 22 \end{pmatrix} $$

The exact answers for $(AB)C$ and $A(BC)$ cannot be determined without the values of C.

More Information

Matrix multiplication is an essential part of business mathematics, as it allows for manipulation and analysis of data in various dimensions. The associative property of matrix multiplication can be beneficial when working with large datasets.

Tips

  • Not checking if matrices can be multiplied due to dimensional mismatch.
  • Forgetting to align elements correctly when performing multiplication.

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