Multiplying a matrix by a scalar
To multiply a matrix by a scalar, multiply the scalar by every entry in the matrix. The order and positions of the entries stay unchanged, even when the scalar is negative
- Multiply every entry A scalar is applied to each entry of the matrix, not only to one selected position \(\displaystyle kA=\begin{bmatrix}ka_{11}&ka_{12}\\ka_{21}&ka_{22}\end{bmatrix}\)
- Keep the order Scalar multiplication changes the entries but not the number of rows or columns \(\displaystyle A_{2\times3}\quad\Rightarrow\quad kA_{2\times3}\)
- Apply the sign A negative scalar changes the sign of every non-zero entry, including entries that are already negative \(\displaystyle (-3)(-2)=6,\quad (-3)(4)=-12\)
- Use the multiplier A percentage increase is written as a multiplier before it is applied to the matrix \(\displaystyle 15\%\text{ increase}:\quad k=1+\frac{15}{100}=1.15\)
Worked example
Calculate -3A for the matrix shown below
- \(\displaystyle A\text{ is a }2\times2\text{ matrix, so }-3A\text{ is also }2\times2\)Multiplying by a scalar does not change the matrix order
- \(\displaystyle -3A=\begin{bmatrix}(-3)(2)&(-3)(-1)\\(-3)(4)&(-3)(3)\end{bmatrix}\)Multiply every entry by -3, including the negative entry
- \(\displaystyle -3A=\begin{bmatrix}-6&3\\-12&-9\end{bmatrix}\)Evaluating the four products gives the scaled matrix
Common mistakes
Difficulty levels
Questions about this topic
Does multiplying by a scalar change the matrix order?+
No. The scalar changes the value of each entry, but the number of rows and columns remains unchanged
What happens when the scalar is negative?+
Every entry is multiplied by the negative number, so each non-zero entry changes sign
How is a percentage increase used as a scalar?+
Add the percentage as a decimal to 1. For example, a 15% increase gives the multiplier 1.15, which is then applied to every entry
Can I use a calculator?+
No. This topic is practised without a calculator
Which year level and chapter is this?+
Year 11, VCE Units 1 & 2, General Mathematics, chapter 4: Matrices