Examples

$S ([\begin{array}{c} a \\ b \\ c \end{array}]) = [\begin{array}{c} a + 3 b - 6 c \\ 2 a + b + c \\ a + 5 b + c \end{array}]$

Step 1

The transformation defines a map from

$ℝ^{3}$ to

$ℝ^{3}$ . To prove the transformation is linear, the transformation must preserve scalar multiplication, addition, and the zero vector.

$ℝ^{3} \to ℝ^{3}$

Step 2

First prove the transform preserves this property.

$S (x + y) = S (x) + S (y)$

Step 3

Set up two matrices to test the addition property is preserved for

$S$ .

$S ([\begin{array}{c} x_{1} \\ x_{2} \\ x_{3} \end{array}] + [\begin{array}{c} y_{1} \\ y_{2} \\ y_{3} \end{array}])$

Step 4

Add the two matrices.

$S [\begin{array}{c} x_{1} + y_{1} \\ x_{2} + y_{2} \\ x_{3} + y_{3} \end{array}]$

Step 5

Apply the transformation to the vector.

$S (x + y) = [\begin{array}{c} x_{1} + y_{1} + 3 (x_{2} + y_{2}) - 6 (x_{3} + y_{3}) \\ 2 (x_{1} + y_{1}) + x_{2} + y_{2} + x_{3} + y_{3} \\ x_{1} + y_{1} + 5 (x_{2} + y_{2}) + x_{3} + y_{3} \end{array}]$

Step 6

Simplify each element in the matrix.

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Step 6.1

Rearrange

$x_{1} + y_{1} + 3 (x_{2} + y_{2}) - 6 (x_{3} + y_{3})$ .

$S (x + y) = [\begin{array}{c} x_{1} + 3 x_{2} - 6 x_{3} + y_{1} + 3 y_{2} - 6 y_{3} \\ 2 (x_{1} + y_{1}) + x_{2} + y_{2} + x_{3} + y_{3} \\ x_{1} + y_{1} + 5 (x_{2} + y_{2}) + x_{3} + y_{3} \end{array}]$

Step 6.2

Rearrange

$2 (x_{1} + y_{1}) + x_{2} + y_{2} + x_{3} + y_{3}$ .

$S (x + y) = [\begin{array}{c} x_{1} + 3 x_{2} - 6 x_{3} + y_{1} + 3 y_{2} - 6 y_{3} \\ 2 x_{1} + x_{2} + x_{3} + 2 y_{1} + y_{2} + y_{3} \\ x_{1} + y_{1} + 5 (x_{2} + y_{2}) + x_{3} + y_{3} \end{array}]$

Step 6.3

Rearrange

$x_{1} + y_{1} + 5 (x_{2} + y_{2}) + x_{3} + y_{3}$ .

$S (x + y) = [\begin{array}{c} x_{1} + 3 x_{2} - 6 x_{3} + y_{1} + 3 y_{2} - 6 y_{3} \\ 2 x_{1} + x_{2} + x_{3} + 2 y_{1} + y_{2} + y_{3} \\ x_{1} + 5 x_{2} + x_{3} + y_{1} + 5 y_{2} + y_{3} \end{array}]$

Step 7

Break the result into two matrices by grouping the variables.

$S (x + y) = [\begin{array}{c} x_{1} + 3 x_{2} - 6 x_{3} \\ 2 x_{1} + x_{2} + x_{3} \\ x_{1} + 5 x_{2} + x_{3} \end{array}] + [\begin{array}{c} y_{1} + 3 y_{2} - 6 y_{3} \\ 2 y_{1} + y_{2} + y_{3} \\ y_{1} + 5 y_{2} + y_{3} \end{array}]$

Step 8

The addition property of the transformation holds true.

$S (x + y) = S (x) + S (y)$

Step 9

For a transformation to be linear, it must maintain scalar multiplication.

$S (p x) = T (p [\begin{array}{c} a \\ b \\ c \end{array}])$

Step 10

Factor the

$p$ from each element.

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Step 10.1

Multiply

$p$ by each element in the matrix.

$S (p x) = S ([\begin{array}{c} p a \\ p b \\ p c \end{array}])$

Step 10.2

Apply the transformation to the vector.

$S (p x) = [\begin{array}{c} (p a) + 3 (p b) - 6 (p c) \\ 2 (p a + p b + p c) \\ (p a) + 5 (p b) + p c \end{array}]$

Step 10.3

Simplify each element in the matrix.

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Step 10.3.1

Rearrange

$(p a) + 3 (p b) - 6 (p c)$ .

$S (p x) = [\begin{array}{c} a p + 3 b p - 6 c p \\ 2 (p a + p b + p c) \\ (p a) + 5 (p b) + p c \end{array}]$

Step 10.3.2

Rearrange

$2 (p a + p b + p c)$ .

$S (p x) = [\begin{array}{c} a p + 3 b p - 6 c p \\ 2 a p + 2 b p + 2 c p \\ (p a) + 5 (p b) + p c \end{array}]$

Step 10.3.3

Rearrange

$(p a) + 5 (p b) + p c$ .

$S (p x) = [\begin{array}{c} a p + 3 b p - 6 c p \\ 2 a p + 2 b p + 2 c p \\ a p + 5 b p + c p \end{array}]$

Step 10.4

Factor each element of the matrix.

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Step 10.4.1

Factor element

$0, 0$ by multiplying

$a p + 3 b p - 6 c p$ .

$S (p x) = [\begin{array}{c} p (a + 3 b - 6 c) \\ 2 a p + 2 b p + 2 c p \\ a p + 5 b p + c p \end{array}]$

Step 10.4.2

Factor element

$1, 0$ by multiplying

$2 a p + 2 b p + 2 c p$ .

$S (p x) = [\begin{array}{c} p (a + 3 b - 6 c) \\ p (2 a + 2 b + 2 c) \\ a p + 5 b p + c p \end{array}]$

Step 10.4.3

Factor element

$2, 0$ by multiplying

$a p + 5 b p + c p$ .

$S (p x) = [\begin{array}{c} p (a + 3 b - 6 c) \\ p (2 a + 2 b + 2 c) \\ p (a + 5 b + c) \end{array}]$

Step 11

The second property of linear transformations is preserved in this transformation.

$S (p [\begin{array}{c} a \\ b \\ c \end{array}]) = p S (x)$

Step 12

For the transformation to be linear, the zero vector must be preserved.

$S (0) = 0$

Step 13

Apply the transformation to the vector.

$S (0) = [\begin{array}{c} (0) + 3 (0) - 6 \cdot 0 \\ 2 (0) + 0 + 0 \\ (0) + 5 (0) + 0 \end{array}]$

Step 14

Simplify each element in the matrix.

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Step 14.1

Rearrange

$(0) + 3 (0) - 6 \cdot 0$ .

$S (0) = [\begin{array}{c} 0 \\ 2 (0) + 0 + 0 \\ (0) + 5 (0) + 0 \end{array}]$

Step 14.2

Rearrange

$2 (0) + 0 + 0$ .

$S (0) = [\begin{array}{c} 0 \\ 0 \\ (0) + 5 (0) + 0 \end{array}]$

Step 14.3

Rearrange

$(0) + 5 (0) + 0$ .

$S (0) = [\begin{array}{c} 0 \\ 0 \\ 0 \end{array}]$

Step 15

The zero vector is preserved by the transformation.

$S (0) = 0$

Step 16

Since all three properties of linear transformations are not met, this is not a linear transformation.

Linear Transformation

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