Linear Algebra Examples

$[\begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array}] y = [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$

Step 1

Find the inverse of $[\begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array}]$ .

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Step 1.1

Rewrite.

$| \begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array} |$

Step 1.2

Find the determinant.

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Step 1.2.1

Choose the row or column with the most $0$ elements. If there are no $0$ elements choose any row or column. Multiply every element in row $1$ by its cofactor and add.

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Step 1.2.1.1

Consider the corresponding sign chart.

$| \begin{array}{c} + & - & + \\ - & + & - \\ + & - & + \end{array} |$

Step 1.2.1.2

The cofactor is the minor with the sign changed if the indices match a $-$ position on the sign chart.

Step 1.2.1.3

The minor for $a_{11}$ is the determinant with row $1$ and column $1$ deleted.

$| \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$

Step 1.2.1.4

Multiply element $a_{11}$ by its cofactor.

$1 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$

Step 1.2.1.5

The minor for $a_{12}$ is the determinant with row $1$ and column $2$ deleted.

$| \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$

Step 1.2.1.6

Multiply element $a_{12}$ by its cofactor.

$0 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$

Step 1.2.1.7

The minor for $a_{13}$ is the determinant with row $1$ and column $3$ deleted.

$| \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$

Step 1.2.1.8

Multiply element $a_{13}$ by its cofactor.

$0 | \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$

Step 1.2.1.9

Add the terms together.

$1 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} | + 0 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} | + 0 | \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$

Step 1.2.2

Multiply $0$ by $| \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$ .

$1 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} | + 0 + 0 | \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$

Step 1.2.3

Multiply $0$ by $| \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$ .

$1 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} | + 0 + 0$

Step 1.2.4

Evaluate $| \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$ .

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Step 1.2.4.1

The determinant of a $2 \times 2$ matrix can be found using the formula $| \begin{array}{c} a & b \\ c & d \end{array} | = a d - c b$ .

$1 (1 \cdot 1 - 1 \cdot 0) + 0 + 0$

Step 1.2.4.2

Simplify the determinant.

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Step 1.2.4.2.1

Multiply $1$ by $1$ .

$1 (1 - 1 \cdot 0) + 0 + 0$

Step 1.2.4.2.2

Subtract $0$ from $1$ .

$1 \cdot 1 + 0 + 0$

Step 1.2.5

Simplify the determinant.

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Step 1.2.5.1

Multiply $1$ by $1$ .

$1 + 0 + 0$

Step 1.2.5.2

Add $1$ and $0$ .

$1 + 0$

Step 1.2.5.3

Add $1$ and $0$ .

$1$

Step 1.3

Since the determinant is non-zero, the inverse exists.

Step 1.4

Set up a $3 \times 6$ matrix where the left half is the original matrix and the right half is its identity matrix.

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 1 & 1 & 0 & 0 & 1 & 0 \\ 1 & 1 & 1 & 0 & 0 & 1 \end{array}]$

Step 1.5

Find the reduced row echelon form.

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Step 1.5.1

Perform the row operation $R_{2} = R_{2} - R_{1}$ to make the entry at $2, 1$ a $0$ .

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Step 1.5.1.1

Perform the row operation $R_{2} = R_{2} - R_{1}$ to make the entry at $2, 1$ a $0$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 1 - 1 & 1 - 0 & 0 - 0 & 0 - 1 & 1 - 0 & 0 - 0 \\ 1 & 1 & 1 & 0 & 0 & 1 \end{array}]$

Step 1.5.1.2

Simplify $R_{2}$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & - 1 & 1 & 0 \\ 1 & 1 & 1 & 0 & 0 & 1 \end{array}]$

Step 1.5.2

Perform the row operation $R_{3} = R_{3} - R_{1}$ to make the entry at $3, 1$ a $0$ .

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Step 1.5.2.1

Perform the row operation $R_{3} = R_{3} - R_{1}$ to make the entry at $3, 1$ a $0$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & - 1 & 1 & 0 \\ 1 - 1 & 1 - 0 & 1 - 0 & 0 - 1 & 0 - 0 & 1 - 0 \end{array}]$

Step 1.5.2.2

Simplify $R_{3}$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & - 1 & 1 & 0 \\ 0 & 1 & 1 & - 1 & 0 & 1 \end{array}]$

Step 1.5.3

Perform the row operation $R_{3} = R_{3} - R_{2}$ to make the entry at $3, 2$ a $0$ .

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Step 1.5.3.1

Perform the row operation $R_{3} = R_{3} - R_{2}$ to make the entry at $3, 2$ a $0$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & - 1 & 1 & 0 \\ 0 - 0 & 1 - 1 & 1 - 0 & - 1 + 1 & 0 - 1 & 1 - 0 \end{array}]$

Step 1.5.3.2

Simplify $R_{3}$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & - 1 & 1 & 0 \\ 0 & 0 & 1 & 0 & - 1 & 1 \end{array}]$

Step 1.6

The right half of the reduced row echelon form is the inverse.

$[\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}]$

Step 2

Multiply both sides by the inverse of $[\begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array}]$ .

$[\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array}] y = [\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$

Step 3

Simplify the equation.

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Step 3.1

Multiply $[\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array}]$ .

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Step 3.1.1

Two matrices can be multiplied if and only if the number of columns in the first matrix is equal to the number of rows in the second matrix. In this case, the first matrix is $3 \times 3$ and the second matrix is $3 \times 3$ .

Step 3.1.2

Multiply each row in the first matrix by each column in the second matrix.

$[\begin{array}{c} 1 \cdot 1 + 0 \cdot 1 + 0 \cdot 1 & 1 \cdot 0 + 0 \cdot 1 + 0 \cdot 1 & 1 \cdot 0 + 0 \cdot 0 + 0 \cdot 1 \\ - 1 \cdot 1 + 1 \cdot 1 + 0 \cdot 1 & - 0 + 1 \cdot 1 + 0 \cdot 1 & - 0 + 1 \cdot 0 + 0 \cdot 1 \\ 0 \cdot 1 - 1 \cdot 1 + 1 \cdot 1 & 0 \cdot 0 - 1 \cdot 1 + 1 \cdot 1 & 0 \cdot 0 - 0 + 1 \cdot 1 \end{array}] y = [\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$

Step 3.1.3

Simplify each element of the matrix by multiplying out all the expressions.

$[\begin{array}{c} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{array}] y = [\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$

Step 3.2

Multiplying the identity matrix by any matrix $A$ is the matrix $A$ itself.

$y = [\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$

Step 3.3

Multiply $[\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$ .

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Step 3.3.1

Step 3.3.2

Multiply each row in the first matrix by each column in the second matrix.

$y = [\begin{array}{c} 1 \cdot 1 + 0 \cdot 3 + 0 \cdot 2 & 1 \cdot 2 + 0 \cdot 3 + 0 \cdot 1 \\ - 1 \cdot 1 + 1 \cdot 3 + 0 \cdot 2 & - 1 \cdot 2 + 1 \cdot 3 + 0 \cdot 1 \\ 0 \cdot 1 - 1 \cdot 3 + 1 \cdot 2 & 0 \cdot 2 - 1 \cdot 3 + 1 \cdot 1 \end{array}]$

Step 3.3.3

Simplify each element of the matrix by multiplying out all the expressions.

$y = [\begin{array}{c} 1 & 2 \\ 2 & 1 \\ - 1 & - 2 \end{array}]$