예제

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

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

단계 1

변환의 핵(커널)은 변환 결과 영벡터가 되는 벡터를 말합니다(변환의 원상).

⎡ ⎢ ⎣ \begin{matrix} a - b - c a - b - c a - b + c \end{matrix} ⎤ ⎥ ⎦ = 0

$[\begin{array}{c} a - b - c \\ a - b - c \\ a - b + c \end{array}] = 0$

단계 2

벡터 방정식으로부터 연립 방정식을 세웁니다.

a - b - c = 0

$a - b - c = 0$

a - b - c = 0

$a - b - c = 0$

a - b + c = 0

$a - b + c = 0$

단계 3

Write the system as a matrix.

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 1 & - 1 & - 1 & 0 1 & - 1 & 1 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

단계 4

기약 행 사다리꼴을 구합니다.

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단계 4.1

Perform the row operation

R_{2} = R_{2} - R_{1}

$R_{2} = R_{2} - R_{1}$ to make the entry at

2, 1

$2, 1$ a

0

$0$ .

자세한 풀이 단계를 보려면 여기를 누르십시오...

단계 4.1.1

Perform the row operation

R_{2} = R_{2} - R_{1}

$R_{2} = R_{2} - R_{1}$ to make the entry at

2, 1

$2, 1$ a

0

$0$ .

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 1 - 1 & - 1 + 1 & - 1 + 1 & 0 - 0 1 & - 1 & 1 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

단계 4.1.2

R_{2}

$R_{2}$ 을 간단히 합니다.

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 0 & 0 & 0 & 0 1 & - 1 & 1 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 0 & 0 & 0 & 0 1 & - 1 & 1 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

단계 4.2

Perform the row operation

R_{3} = R_{3} - R_{1}

$R_{3} = R_{3} - R_{1}$ to make the entry at

3, 1

$3, 1$ a

0

$0$ .

자세한 풀이 단계를 보려면 여기를 누르십시오...

단계 4.2.1

Perform the row operation

R_{3} = R_{3} - R_{1}

$R_{3} = R_{3} - R_{1}$ to make the entry at

3, 1

$3, 1$ a

0

$0$ .

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 0 & 0 & 0 & 0 1 - 1 & - 1 + 1 & 1 + 1 & 0 - 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

단계 4.2.2

R_{3}

$R_{3}$ 을 간단히 합니다.

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 0 & 0 & 0 & 0 0 & 0 & 2 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 0 & 0 & 0 & 0 0 & 0 & 2 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

단계 4.3

Swap

R_{3}

$R_{3}$ with

R_{2}

$R_{2}$ to put a nonzero entry at

2, 3

$2, 3$ .

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 0 & 0 & 2 & 0 0 & 0 & 0 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

단계 4.4

Multiply each element of

R_{2}

$R_{2}$ by

\frac{1}{2}

$\frac{1}{2}$ to make the entry at

2, 3

$2, 3$ a

1

$1$ .

자세한 풀이 단계를 보려면 여기를 누르십시오...

단계 4.4.1

Multiply each element of

R_{2}

$R_{2}$ by

\frac{1}{2}

$\frac{1}{2}$ to make the entry at

2, 3

$2, 3$ a

1

$1$ .

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 \frac{0}{2} & \frac{0}{2} & \frac{2}{2} & \frac{0}{2} 0 & 0 & 0 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

$[\begin{array}{c} 1 & - 1 & - 1 & 0 \\ \frac{0}{2} & \frac{0}{2} & \frac{2}{2} & \frac{0}{2} \\ 0 & 0 & 0 & 0 \end{array}]$

단계 4.4.2

R_{2}

$R_{2}$ 을 간단히 합니다.

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 0 & 0 & 1 & 0 0 & 0 & 0 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & - 1 & 0 0 & 0 & 1 & 0 0 & 0 & 0 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

단계 4.5

Perform the row operation

R_{1} = R_{1} + R_{2}

$R_{1} = R_{1} + R_{2}$ to make the entry at

1, 3

$1, 3$ a

0

$0$ .

자세한 풀이 단계를 보려면 여기를 누르십시오...

단계 4.5.1

Perform the row operation

R_{1} = R_{1} + R_{2}

$R_{1} = R_{1} + R_{2}$ to make the entry at

1, 3

$1, 3$ a

0

$0$ .

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 + 0 & - 1 + 0 & - 1 + 1 \cdot 1 & 0 + 0 0 & 0 & 1 & 0 0 & 0 & 0 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

단계 4.5.2

R_{1}

$R_{1}$ 을 간단히 합니다.

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & 0 & 0 0 & 0 & 1 & 0 0 & 0 & 0 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & 0 & 0 0 & 0 & 1 & 0 0 & 0 & 0 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

⎡ ⎢ ⎢ ⎣ \begin{matrix} 1 & - 1 & 0 & 0 0 & 0 & 1 & 0 0 & 0 & 0 & 0 \end{matrix} ⎤ ⎥ ⎥ ⎦

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

단계 5

Use the result matrix to declare the final solution to the system of equations.

a - b = 0

$a - b = 0$

c = 0

$c = 0$

0 = 0

$0 = 0$

단계 6

Write a solution vector by solving in terms of the free variables in each row.

⎡ ⎢ ⎣ \begin{matrix} a b c \end{matrix} ⎤ ⎥ ⎦ = ⎡ ⎢ ⎣ \begin{matrix} b b 0 \end{matrix} ⎤ ⎥ ⎦

$[\begin{array}{c} a \\ b \\ c \end{array}] = [\begin{array}{c} b \\ b \\ 0 \end{array}]$

단계 7

Write the solution as a linear combination of vectors.

⎡ ⎢ ⎣ \begin{matrix} a b c \end{matrix} ⎤ ⎥ ⎦ = b ⎡ ⎢ ⎣ \begin{matrix} 110 \end{matrix} ⎤ ⎥ ⎦

$[\begin{array}{c} a \\ b \\ c \end{array}] = b [\begin{array}{c} 1 \\ 1 \\ 0 \end{array}]$

단계 8

Write as a solution set.

⎧ ⎪ ⎨ ⎪ ⎩ b ⎡ ⎢ ⎣ \begin{matrix} 110 \end{matrix} ⎤ ⎥ ⎦ ∣ ∣ ∣ ∣ b \in R ⎫ ⎪ ⎬ ⎪ ⎭

${b [\begin{array}{c} 1 \\ 1 \\ 0 \end{array}] | b \in R}$

단계 9

The solution is the set of vectors created from the free variables of the system.

⎧ ⎪ ⎨ ⎪ ⎩ ⎡ ⎢ ⎣ \begin{matrix} 110 \end{matrix} ⎤ ⎥ ⎦ ⎫ ⎪ ⎬ ⎪ ⎭

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

단계 10

S

$S$ 의 핵(커널)은 부분공간

⎧ ⎪ ⎨ ⎪ ⎩ ⎡ ⎢ ⎣ \begin{matrix} 110 \end{matrix} ⎤ ⎥ ⎦ ⎫ ⎪ ⎬ ⎪ ⎭

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

K (S) = ⎧ ⎪ ⎨ ⎪ ⎩ ⎡ ⎢ ⎣ \begin{matrix} 110 \end{matrix} ⎤ ⎥ ⎦ ⎫ ⎪ ⎬ ⎪ ⎭

$K (S) = {[\begin{array}{c} 1 \\ 1 \\ 0 \end{array}]}$

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