Examples

S ⎛ ⎜ ⎝ ⎡ ⎢ ⎣ \begin{matrix} a b c \end{matrix} ⎤ ⎥ ⎦ ⎞ ⎟ ⎠ = ⎡ ⎢ ⎣ \begin{matrix} 2 a - 6 b + 6 c a + 2 b + c 2 a + b + 2 c \end{matrix} ⎤ ⎥ ⎦

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

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.

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

Step 6

Simplify each element in the matrix.

Tap for more steps...

Step 6.1

Rearrange

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

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

Step 6.2

Rearrange

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

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

Step 6.3

Rearrange

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

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

Step 7

Break the result into two matrices by grouping the variables.

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

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.

Tap for more steps...

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.

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

Step 10.3

Simplify each element in the matrix.

Tap for more steps...

Step 10.3.1

Rearrange

$2 ((p a) - 6 (p b) + 6 (p c))$ .

$S (p x) = [\begin{array}{c} 2 a p - 12 b p + 12 c p \\ (p a) + 2 (p b) + p c \\ 2 (p a + p b + 2 (p c)) \end{array}]$

Step 10.3.2

Rearrange

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

$S (p x) = [\begin{array}{c} 2 a p - 12 b p + 12 c p \\ a p + 2 b p + c p \\ 2 (p a + p b + 2 (p c)) \end{array}]$

Step 10.3.3

Rearrange

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

$S (p x) = [\begin{array}{c} 2 a p - 12 b p + 12 c p \\ a p + 2 b p + c p \\ 2 a p + 2 b p + 4 c p \end{array}]$

Step 10.4

Factor each element of the matrix.

Tap for more steps...

Step 10.4.1

Factor element

$0, 0$ by multiplying

$2 a p - 12 b p + 12 c p$ .

$S (p x) = [\begin{array}{c} p (2 a - 12 b + 12 c) \\ a p + 2 b p + c p \\ 2 a p + 2 b p + 4 c p \end{array}]$

Step 10.4.2

Factor element

$1, 0$ by multiplying

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

$S (p x) = [\begin{array}{c} p (2 a - 12 b + 12 c) \\ p (a + 2 b + c) \\ 2 a p + 2 b p + 4 c p \end{array}]$

Step 10.4.3

Factor element

$2, 0$ by multiplying

$2 a p + 2 b p + 4 c p$ .

$S (p x) = [\begin{array}{c} p (2 a - 12 b + 12 c) \\ p (a + 2 b + c) \\ p (2 a + 2 b + 4 c) \end{array}]$

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.

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

Step 14

Simplify each element in the matrix.

Tap for more steps...

Step 14.1

Rearrange

$2 (0) - 6 \cdot 0 + 6 (0)$ .

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

Step 14.2

Rearrange

$(0) + 2 (0) + 0$ .

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

Step 14.3

Rearrange

$2 (0) + 0 + 2 (0)$ .

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

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

Enter YOUR Problem