V5 - Linear Independence


Example 1

V5 - Linear Independence (ver. 1)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 0 \\ -2 \\ -2 \\ 1 \end{array}\right],\left[\begin{array}{r} -3 \\ 1 \\ 4 \\ 3 \\ -7 \end{array}\right],\left[\begin{array}{r} -2 \\ 1 \\ 2 \\ 1 \\ -6 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 1 & -3 & -2 \\ 0 & 1 & 1 \\ -2 & 4 & 2 \\ -2 & 3 & 1 \\ 1 & -7 & -6 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 1 \\ 0 & 1 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 2

V5 - Linear Independence (ver. 2)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -1 \\ 3 \\ 2 \\ -2 \\ -1 \end{array}\right],\left[\begin{array}{r} 2 \\ -5 \\ -1 \\ 4 \\ 2 \end{array}\right],\left[\begin{array}{r} -1 \\ 7 \\ 1 \\ -4 \\ 2 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} -1 & 2 & -1 \\ 3 & -5 & 7 \\ 2 & -1 & 1 \\ -2 & 4 & -4 \\ -1 & 2 & 2 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 3

V5 - Linear Independence (ver. 3)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 3 \\ 0 \\ -1 \end{array}\right],\left[\begin{array}{r} 0 \\ 1 \\ 0 \\ 0 \end{array}\right],\left[\begin{array}{r} -3 \\ -6 \\ 1 \\ 4 \end{array}\right],\left[\begin{array}{r} -5 \\ -8 \\ 2 \\ 7 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & 0 & -3 & -5 \\ 3 & 1 & -6 & -8 \\ 0 & 0 & 1 & 2 \\ -1 & 0 & 4 & 7 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 1 \\ 0 & 1 & 0 & 1 \\ 0 & 0 & 1 & 2 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 4

V5 - Linear Independence (ver. 4)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 0 \\ -1 \\ 3 \\ -2 \end{array}\right],\left[\begin{array}{r} -1 \\ 1 \\ 2 \\ -1 \\ 1 \end{array}\right],\left[\begin{array}{r} -3 \\ 4 \\ 8 \\ -6 \\ 3 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 1 & -1 & -3 \\ 0 & 1 & 4 \\ -1 & 2 & 8 \\ 3 & -1 & -6 \\ -2 & 1 & 3 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 5

V5 - Linear Independence (ver. 5)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 0 \\ 0 \\ 1 \end{array}\right],\left[\begin{array}{r} 2 \\ 1 \\ 0 \\ 0 \end{array}\right],\left[\begin{array}{r} -6 \\ -2 \\ 1 \\ 2 \end{array}\right],\left[\begin{array}{r} -7 \\ -4 \\ 0 \\ 1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & 2 & -6 & -7 \\ 0 & 1 & -2 & -4 \\ 0 & 0 & 1 & 0 \\ 1 & 0 & 2 & 1 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 1 \\ 0 & 1 & 0 & -4 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 6

V5 - Linear Independence (ver. 6)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ -2 \\ 1 \\ 0 \\ 1 \end{array}\right],\left[\begin{array}{r} -8 \\ -3 \\ 6 \\ -5 \\ 4 \end{array}\right],\left[\begin{array}{r} 1 \\ -2 \\ 1 \\ 0 \\ 1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 1 & -8 & 1 \\ -2 & -3 & -2 \\ 1 & 6 & 1 \\ 0 & -5 & 0 \\ 1 & 4 & 1 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 1 \\ 0 & 1 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 7

V5 - Linear Independence (ver. 7)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -3 \\ 1 \\ 2 \\ 2 \\ 1 \end{array}\right],\left[\begin{array}{r} 1 \\ 2 \\ 0 \\ 1 \\ 0 \end{array}\right],\left[\begin{array}{r} 0 \\ 7 \\ 2 \\ 5 \\ 1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} -3 & 1 & 0 \\ 1 & 2 & 7 \\ 2 & 0 & 2 \\ 2 & 1 & 5 \\ 1 & 0 & 1 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 1 \\ 0 & 1 & 3 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 8

V5 - Linear Independence (ver. 8)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 1 \\ 0 \\ 0 \\ 1 \end{array}\right],\left[\begin{array}{r} 5 \\ 5 \\ 0 \\ 0 \\ 5 \end{array}\right],\left[\begin{array}{r} 3 \\ 6 \\ 1 \\ 1 \\ 1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 1 & 5 & 3 \\ 1 & 5 & 6 \\ 0 & 0 & 1 \\ 0 & 0 & 1 \\ 1 & 5 & 1 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 5 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 9

V5 - Linear Independence (ver. 9)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 0 \\ 1 \\ 0 \\ 0 \end{array}\right],\left[\begin{array}{r} 2 \\ 1 \\ 2 \\ 0 \\ 1 \end{array}\right],\left[\begin{array}{r} -8 \\ -3 \\ -7 \\ 0 \\ -3 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 1 & 2 & -8 \\ 0 & 1 & -3 \\ 1 & 2 & -7 \\ 0 & 0 & 0 \\ 0 & 1 & -3 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 10

V5 - Linear Independence (ver. 10)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -3 \\ 2 \\ 1 \\ 1 \\ 0 \end{array}\right],\left[\begin{array}{r} -2 \\ 1 \\ 0 \\ 2 \\ 2 \end{array}\right],\left[\begin{array}{r} 5 \\ -5 \\ -4 \\ 1 \\ 7 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} -3 & -2 & 5 \\ 2 & 1 & -5 \\ 1 & 0 & -4 \\ 1 & 2 & 1 \\ 0 & 2 & 7 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 11

V5 - Linear Independence (ver. 11)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ -1 \\ -1 \\ 0 \end{array}\right],\left[\begin{array}{r} -5 \\ 6 \\ 5 \\ 2 \end{array}\right],\left[\begin{array}{r} 3 \\ -4 \\ -2 \\ 0 \end{array}\right],\left[\begin{array}{r} -6 \\ 8 \\ 2 \\ -3 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & -5 & 3 & -6 \\ -1 & 6 & -4 & 8 \\ -1 & 5 & -2 & 2 \\ 0 & 2 & 0 & -3 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 12

V5 - Linear Independence (ver. 12)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ -2 \\ -4 \\ 0 \end{array}\right],\left[\begin{array}{r} -1 \\ 3 \\ 4 \\ 0 \end{array}\right],\left[\begin{array}{r} -3 \\ 6 \\ 5 \\ 2 \end{array}\right],\left[\begin{array}{r} 3 \\ -4 \\ 2 \\ -4 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & -1 & -3 & 3 \\ -2 & 3 & 6 & -4 \\ -4 & 4 & 5 & 2 \\ 0 & 0 & 2 & -4 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & -1 \\ 0 & 1 & 0 & 2 \\ 0 & 0 & 1 & -2 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 13

V5 - Linear Independence (ver. 13)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 2 \\ 0 \\ 0 \end{array}\right],\left[\begin{array}{r} -4 \\ -7 \\ 2 \\ -4 \end{array}\right],\left[\begin{array}{r} -4 \\ -7 \\ 3 \\ -4 \end{array}\right],\left[\begin{array}{r} 2 \\ 3 \\ -3 \\ 4 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & -4 & -4 & 2 \\ 2 & -7 & -7 & 3 \\ 0 & 2 & 3 & -3 \\ 0 & -4 & -4 & 4 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & -2 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & -1 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 14

V5 - Linear Independence (ver. 14)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -3 \\ 4 \\ -3 \\ -1 \end{array}\right],\left[\begin{array}{r} -4 \\ 5 \\ -5 \\ -3 \end{array}\right],\left[\begin{array}{r} -6 \\ 7 \\ -8 \\ -5 \end{array}\right],\left[\begin{array}{r} 3 \\ -5 \\ 1 \\ -1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} -3 & -4 & -6 & 3 \\ 4 & 5 & 7 & -5 \\ -3 & -5 & -8 & 1 \\ -1 & -3 & -5 & -1 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 15

V5 - Linear Independence (ver. 15)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ -1 \\ -1 \\ 1 \\ 2 \end{array}\right],\left[\begin{array}{r} 2 \\ -1 \\ 0 \\ 0 \\ 2 \end{array}\right],\left[\begin{array}{r} -7 \\ 3 \\ -1 \\ 1 \\ -6 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 1 & 2 & -7 \\ -1 & -1 & 3 \\ -1 & 0 & -1 \\ 1 & 0 & 1 \\ 2 & 2 & -6 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 1 \\ 0 & 1 & -4 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 16

V5 - Linear Independence (ver. 16)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 0 \\ 1 \\ -1 \\ -2 \end{array}\right],\left[\begin{array}{r} 0 \\ 6 \\ -5 \\ -7 \end{array}\right],\left[\begin{array}{r} 1 \\ 2 \\ 0 \\ -2 \end{array}\right],\left[\begin{array}{r} -2 \\ 0 \\ -3 \\ 1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 0 & 0 & 1 & -2 \\ 1 & 6 & 2 & 0 \\ -1 & -5 & 0 & -3 \\ -2 & -7 & -2 & 1 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & -2 \\ 0 & 1 & 0 & 1 \\ 0 & 0 & 1 & -2 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 17

V5 - Linear Independence (ver. 17)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 0 \\ -1 \\ -2 \end{array}\right],\left[\begin{array}{r} 1 \\ 1 \\ -1 \\ -1 \end{array}\right],\left[\begin{array}{r} 1 \\ 4 \\ 0 \\ -1 \end{array}\right],\left[\begin{array}{r} 5 \\ 7 \\ -3 \\ -8 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & 1 & 1 & 5 \\ 0 & 1 & 4 & 7 \\ -1 & -1 & 0 & -3 \\ -2 & -1 & -1 & -8 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 18

V5 - Linear Independence (ver. 18)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 0 \\ 1 \\ 2 \\ -1 \\ 1 \end{array}\right],\left[\begin{array}{r} -1 \\ 0 \\ -1 \\ 0 \\ -1 \end{array}\right],\left[\begin{array}{r} -5 \\ -2 \\ -8 \\ 2 \\ -5 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 0 & -1 & -5 \\ 1 & 0 & -2 \\ 2 & -1 & -8 \\ -1 & 0 & 2 \\ 1 & -1 & -5 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 19

V5 - Linear Independence (ver. 19)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 0 \\ 0 \\ 0 \end{array}\right],\left[\begin{array}{r} 1 \\ 1 \\ 4 \\ 3 \end{array}\right],\left[\begin{array}{r} -1 \\ 0 \\ 1 \\ 0 \end{array}\right],\left[\begin{array}{r} -5 \\ -1 \\ -1 \\ -3 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & 1 & -1 & -5 \\ 0 & 1 & 0 & -1 \\ 0 & 4 & 1 & -1 \\ 0 & 3 & 0 & -3 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & -1 \\ 0 & 1 & 0 & -1 \\ 0 & 0 & 1 & 3 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 20

V5 - Linear Independence (ver. 20)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 0 \\ 0 \\ 1 \end{array}\right],\left[\begin{array}{r} -4 \\ 1 \\ -2 \\ -7 \end{array}\right],\left[\begin{array}{r} 0 \\ 1 \\ -1 \\ 1 \end{array}\right],\left[\begin{array}{r} 6 \\ -3 \\ 4 \\ 7 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & -4 & 0 & 6 \\ 0 & 1 & 1 & -3 \\ 0 & -2 & -1 & 4 \\ 1 & -7 & 1 & 7 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 2 \\ 0 & 1 & 0 & -1 \\ 0 & 0 & 1 & -2 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 21

V5 - Linear Independence (ver. 21)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 0 \\ 0 \\ -1 \\ -1 \end{array}\right],\left[\begin{array}{r} -2 \\ 1 \\ 1 \\ -1 \end{array}\right],\left[\begin{array}{r} -3 \\ 0 \\ -1 \\ -5 \end{array}\right],\left[\begin{array}{r} -3 \\ 5 \\ 6 \\ 5 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 0 & -2 & -3 & -3 \\ 0 & 1 & 0 & 5 \\ -1 & 1 & -1 & 6 \\ -1 & -1 & -5 & 5 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 22

V5 - Linear Independence (ver. 22)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 1 \\ 2 \\ -1 \end{array}\right],\left[\begin{array}{r} -2 \\ -1 \\ -2 \\ 0 \end{array}\right],\left[\begin{array}{r} 4 \\ 2 \\ 5 \\ -1 \end{array}\right],\left[\begin{array}{r} 6 \\ 1 \\ 7 \\ 0 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & -2 & 4 & 6 \\ 1 & -1 & 2 & 1 \\ 2 & -2 & 5 & 7 \\ -1 & 0 & -1 & 0 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 23

V5 - Linear Independence (ver. 23)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ -1 \\ -2 \\ 0 \end{array}\right],\left[\begin{array}{r} -1 \\ -4 \\ -7 \\ -3 \end{array}\right],\left[\begin{array}{r} -2 \\ -5 \\ -8 \\ -4 \end{array}\right],\left[\begin{array}{r} 4 \\ 6 \\ 8 \\ 5 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & -1 & -2 & 4 \\ -1 & -4 & -5 & 6 \\ -2 & -7 & -8 & 8 \\ 0 & -3 & -4 & 5 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 24

V5 - Linear Independence (ver. 24)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -1 \\ -3 \\ -2 \\ 1 \end{array}\right],\left[\begin{array}{r} -2 \\ 1 \\ 0 \\ 1 \end{array}\right],\left[\begin{array}{r} 0 \\ -5 \\ 1 \\ 0 \end{array}\right],\left[\begin{array}{r} 3 \\ -5 \\ -2 \\ -1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} -1 & -2 & 0 & 3 \\ -3 & 1 & -5 & -5 \\ -2 & 0 & 1 & -2 \\ 1 & 1 & 0 & -1 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 1 \\ 0 & 1 & 0 & -2 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 25

V5 - Linear Independence (ver. 25)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ -1 \\ 0 \\ -1 \end{array}\right],\left[\begin{array}{r} 1 \\ 2 \\ 2 \\ -1 \end{array}\right],\left[\begin{array}{r} -6 \\ -5 \\ -7 \\ 7 \end{array}\right],\left[\begin{array}{r} -2 \\ 5 \\ 2 \\ 2 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & 1 & -6 & -2 \\ -1 & 2 & -5 & 5 \\ 0 & 2 & -7 & 2 \\ -1 & -1 & 7 & 2 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & -3 \\ 0 & 1 & 0 & 1 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 26

V5 - Linear Independence (ver. 26)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 0 \\ 1 \\ 0 \\ 1 \\ -1 \end{array}\right],\left[\begin{array}{r} 1 \\ 5 \\ 4 \\ 3 \\ -4 \end{array}\right],\left[\begin{array}{r} 1 \\ 6 \\ 4 \\ 4 \\ -5 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 0 & 1 & 1 \\ 1 & 5 & 6 \\ 0 & 4 & 4 \\ 1 & 3 & 4 \\ -1 & -4 & -5 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 1 \\ 0 & 1 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 27

V5 - Linear Independence (ver. 27)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -1 \\ 1 \\ 0 \\ 1 \end{array}\right],\left[\begin{array}{r} -5 \\ 0 \\ 2 \\ 2 \end{array}\right],\left[\begin{array}{r} -5 \\ -3 \\ 5 \\ 0 \end{array}\right],\left[\begin{array}{r} 6 \\ 5 \\ -8 \\ 1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} -1 & -5 & -5 & 6 \\ 1 & 0 & -3 & 5 \\ 0 & 2 & 5 & -8 \\ 1 & 2 & 0 & 1 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & -1 \\ 0 & 1 & 0 & 1 \\ 0 & 0 & 1 & -2 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 28

V5 - Linear Independence (ver. 28)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -2 \\ -1 \\ 1 \\ 0 \end{array}\right],\left[\begin{array}{r} -7 \\ -4 \\ 0 \\ -3 \end{array}\right],\left[\begin{array}{r} 5 \\ 3 \\ 2 \\ -2 \end{array}\right],\left[\begin{array}{r} 0 \\ 0 \\ 1 \\ -5 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} -2 & -7 & 5 & 0 \\ -1 & -4 & 3 & 0 \\ 1 & 0 & 2 & 1 \\ 0 & -3 & -2 & -5 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & -1 \\ 0 & 1 & 0 & 1 \\ 0 & 0 & 1 & 1 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 29

V5 - Linear Independence (ver. 29)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 1 \\ 2 \\ -4 \\ 1 \end{array}\right],\left[\begin{array}{r} -3 \\ -2 \\ -5 \\ 8 \\ 0 \end{array}\right],\left[\begin{array}{r} 1 \\ 1 \\ 2 \\ -4 \\ 1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 1 & -3 & 1 \\ 1 & -2 & 1 \\ 2 & -5 & 2 \\ -4 & 8 & -4 \\ 1 & 0 & 1 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 1 \\ 0 & 1 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 30

V5 - Linear Independence (ver. 30)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -1 \\ -2 \\ -1 \\ -2 \end{array}\right],\left[\begin{array}{r} 4 \\ 7 \\ 3 \\ 3 \end{array}\right],\left[\begin{array}{r} 4 \\ 8 \\ 5 \\ 4 \end{array}\right],\left[\begin{array}{r} -1 \\ -1 \\ 1 \\ -1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} -1 & 4 & 4 & -1 \\ -2 & 7 & 8 & -1 \\ -1 & 3 & 5 & 1 \\ -2 & 3 & 4 & -1 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 1 \\ 0 & 1 & 0 & -1 \\ 0 & 0 & 1 & 1 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 31

V5 - Linear Independence (ver. 31)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 0 \\ 1 \\ -1 \\ 1 \end{array}\right],\left[\begin{array}{r} -1 \\ 6 \\ 0 \\ 6 \end{array}\right],\left[\begin{array}{r} 0 \\ -1 \\ 2 \\ -6 \end{array}\right],\left[\begin{array}{r} 1 \\ -5 \\ -1 \\ -5 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 0 & -1 & 0 & 1 \\ 1 & 6 & -1 & -5 \\ -1 & 0 & 2 & -1 \\ 1 & 6 & -6 & -5 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 1 \\ 0 & 1 & 0 & -1 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 32

V5 - Linear Independence (ver. 32)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -1 \\ 1 \\ -1 \\ -2 \\ 2 \end{array}\right],\left[\begin{array}{r} 5 \\ 2 \\ 2 \\ -7 \\ 2 \end{array}\right],\left[\begin{array}{r} 3 \\ -3 \\ 3 \\ 6 \\ -6 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} -1 & 5 & 3 \\ 1 & 2 & -3 \\ -1 & 2 & 3 \\ -2 & -7 & 6 \\ 2 & 2 & -6 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & -3 \\ 0 & 1 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 33

V5 - Linear Independence (ver. 33)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -1 \\ 0 \\ -1 \\ 0 \end{array}\right],\left[\begin{array}{r} 2 \\ 1 \\ 1 \\ 3 \end{array}\right],\left[\begin{array}{r} 7 \\ 3 \\ 3 \\ 7 \end{array}\right],\left[\begin{array}{r} 8 \\ 4 \\ 1 \\ 7 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} -1 & 2 & 7 & 8 \\ 0 & 1 & 3 & 4 \\ -1 & 1 & 3 & 1 \\ 0 & 3 & 7 & 7 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 34

V5 - Linear Independence (ver. 34)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ -1 \\ -1 \\ 0 \\ -2 \end{array}\right],\left[\begin{array}{r} -1 \\ 2 \\ 2 \\ -1 \\ 2 \end{array}\right],\left[\begin{array}{r} -2 \\ 5 \\ 5 \\ -3 \\ 4 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 1 & -1 & -2 \\ -1 & 2 & 5 \\ -1 & 2 & 5 \\ 0 & -1 & -3 \\ -2 & 2 & 4 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 1 \\ 0 & 1 & 3 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 35

V5 - Linear Independence (ver. 35)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -5 \\ 0 \\ -2 \\ 0 \end{array}\right],\left[\begin{array}{r} 4 \\ 1 \\ 2 \\ -2 \end{array}\right],\left[\begin{array}{r} 2 \\ 1 \\ 1 \\ 2 \end{array}\right],\left[\begin{array}{r} 7 \\ 4 \\ 4 \\ 0 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} -5 & 4 & 2 & 7 \\ 0 & 1 & 1 & 4 \\ -2 & 2 & 1 & 4 \\ 0 & -2 & 2 & 0 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 1 \\ 0 & 1 & 0 & 2 \\ 0 & 0 & 1 & 2 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 36

V5 - Linear Independence (ver. 36)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -1 \\ 1 \\ -1 \\ 0 \\ 2 \end{array}\right],\left[\begin{array}{r} 2 \\ -3 \\ 6 \\ 1 \\ -7 \end{array}\right],\left[\begin{array}{r} -1 \\ 3 \\ -8 \\ -7 \\ 7 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} -1 & 2 & -1 \\ 1 & -3 & 3 \\ -1 & 6 & -8 \\ 0 & 1 & -7 \\ 2 & -7 & 7 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 37

V5 - Linear Independence (ver. 37)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 0 \\ 1 \\ -1 \\ -1 \\ 1 \end{array}\right],\left[\begin{array}{r} 0 \\ -4 \\ 6 \\ 2 \\ -5 \end{array}\right],\left[\begin{array}{r} 0 \\ -6 \\ 8 \\ 4 \\ -7 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 0 & 0 & 0 \\ 1 & -4 & -6 \\ -1 & 6 & 8 \\ -1 & 2 & 4 \\ 1 & -5 & -7 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & -2 \\ 0 & 1 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 38

V5 - Linear Independence (ver. 38)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 0 \\ -1 \\ 1 \end{array}\right],\left[\begin{array}{r} 3 \\ 1 \\ -1 \\ 5 \end{array}\right],\left[\begin{array}{r} 3 \\ 1 \\ 0 \\ 5 \end{array}\right],\left[\begin{array}{r} 3 \\ 0 \\ 2 \\ 4 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & 3 & 3 & 3 \\ 0 & 1 & 1 & 0 \\ -1 & -1 & 0 & 2 \\ 1 & 5 & 5 & 4 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 39

V5 - Linear Independence (ver. 39)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 2 \\ -1 \\ 4 \\ 0 \end{array}\right],\left[\begin{array}{r} 3 \\ 1 \\ -1 \\ -1 \\ 1 \end{array}\right],\left[\begin{array}{r} -1 \\ -7 \\ 7 \\ -2 \\ 0 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 1 & 3 & -1 \\ 2 & 1 & -7 \\ -1 & -1 & 7 \\ 4 & -1 & -2 \\ 0 & 1 & 0 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 40

V5 - Linear Independence (ver. 40)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 1 \\ 0 \\ 1 \end{array}\right],\left[\begin{array}{r} 1 \\ 2 \\ 2 \\ 2 \end{array}\right],\left[\begin{array}{r} 1 \\ 4 \\ 7 \\ 6 \end{array}\right],\left[\begin{array}{r} -3 \\ 0 \\ 7 \\ 3 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & 1 & 1 & -3 \\ 1 & 2 & 4 & 0 \\ 0 & 2 & 7 & 7 \\ 1 & 2 & 6 & 3 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 41

V5 - Linear Independence (ver. 41)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -1 \\ -1 \\ 1 \\ 1 \end{array}\right],\left[\begin{array}{r} 5 \\ 6 \\ -5 \\ -4 \end{array}\right],\left[\begin{array}{r} -7 \\ -5 \\ 6 \\ 5 \end{array}\right],\left[\begin{array}{r} -1 \\ 5 \\ -1 \\ -1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} -1 & 5 & -7 & -1 \\ -1 & 6 & -5 & 5 \\ 1 & -5 & 6 & -1 \\ 1 & -4 & 5 & -1 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & -3 \\ 0 & 1 & 0 & 2 \\ 0 & 0 & 1 & 2 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 42

V5 - Linear Independence (ver. 42)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 0 \\ -1 \\ 0 \\ 0 \end{array}\right],\left[\begin{array}{r} 1 \\ 1 \\ -1 \\ 1 \end{array}\right],\left[\begin{array}{r} -2 \\ 2 \\ 2 \\ -2 \end{array}\right],\left[\begin{array}{r} -4 \\ 1 \\ 5 \\ -5 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 0 & 1 & -2 & -4 \\ -1 & 1 & 2 & 1 \\ 0 & -1 & 2 & 5 \\ 0 & 1 & -2 & -5 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & -4 & 0 \\ 0 & 1 & -2 & 0 \\ 0 & 0 & 0 & 1 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 43

V5 - Linear Independence (ver. 43)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 0 \\ 1 \\ 0 \end{array}\right],\left[\begin{array}{r} -1 \\ 1 \\ 1 \\ 0 \end{array}\right],\left[\begin{array}{r} 0 \\ -4 \\ 1 \\ -4 \end{array}\right],\left[\begin{array}{r} 0 \\ -2 \\ 5 \\ -4 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & -1 & 0 & 0 \\ 0 & 1 & -4 & -2 \\ 1 & 1 & 1 & 5 \\ 0 & 0 & -4 & -4 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 2 \\ 0 & 1 & 0 & 2 \\ 0 & 0 & 1 & 1 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 44

V5 - Linear Independence (ver. 44)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 0 \\ -1 \\ 0 \end{array}\right],\left[\begin{array}{r} 1 \\ 1 \\ -2 \\ 0 \end{array}\right],\left[\begin{array}{r} -2 \\ -5 \\ 8 \\ -3 \end{array}\right],\left[\begin{array}{r} -2 \\ 6 \\ -5 \\ 4 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & 1 & -2 & -2 \\ 0 & 1 & -5 & 6 \\ -1 & -2 & 8 & -5 \\ 0 & 0 & -3 & 4 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 45

V5 - Linear Independence (ver. 45)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -2 \\ 2 \\ 3 \\ 2 \\ -3 \end{array}\right],\left[\begin{array}{r} 4 \\ -5 \\ -6 \\ -6 \\ 7 \end{array}\right],\left[\begin{array}{r} 0 \\ 1 \\ 0 \\ 2 \\ -1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} -2 & 4 & 0 \\ 2 & -5 & 1 \\ 3 & -6 & 0 \\ 2 & -6 & 2 \\ -3 & 7 & -1 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & -2 \\ 0 & 1 & -1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 46

V5 - Linear Independence (ver. 46)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ -2 \\ -2 \\ -1 \end{array}\right],\left[\begin{array}{r} -1 \\ 3 \\ 5 \\ -1 \end{array}\right],\left[\begin{array}{r} 4 \\ -8 \\ -7 \\ 0 \end{array}\right],\left[\begin{array}{r} -5 \\ 8 \\ 2 \\ 1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & -1 & 4 & -5 \\ -2 & 3 & -8 & 8 \\ -2 & 5 & -7 & 2 \\ -1 & -1 & 0 & 1 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 1 \\ 0 & 1 & 0 & -2 \\ 0 & 0 & 1 & -2 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 47

V5 - Linear Independence (ver. 47)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} -3 \\ 0 \\ 2 \\ 2 \\ 0 \end{array}\right],\left[\begin{array}{r} 1 \\ 1 \\ -1 \\ -2 \\ -1 \end{array}\right],\left[\begin{array}{r} -1 \\ -5 \\ 2 \\ 3 \\ 1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} -3 & 1 & -1 \\ 0 & 1 & -5 \\ 2 & -1 & 2 \\ 2 & -2 & 3 \\ 0 & -1 & 1 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 48

V5 - Linear Independence (ver. 48)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ 3 \\ 0 \\ 3 \end{array}\right],\left[\begin{array}{r} -1 \\ -2 \\ 0 \\ -1 \end{array}\right],\left[\begin{array}{r} -2 \\ -7 \\ 1 \\ -4 \end{array}\right],\left[\begin{array}{r} 1 \\ 8 \\ -2 \\ 5 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & -1 & -2 & 1 \\ 3 & -2 & -7 & 8 \\ 0 & 0 & 1 & -2 \\ 3 & -1 & -4 & 5 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 3 \\ 0 & 0 & 1 & -2 \\ 0 & 0 & 0 & 0 \end{array}\right]\]

The set is linearly DEPENDENT.


Example 49

V5 - Linear Independence (ver. 49)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 1 \\ -2 \\ -1 \\ 1 \end{array}\right],\left[\begin{array}{r} 1 \\ -1 \\ -2 \\ 1 \end{array}\right],\left[\begin{array}{r} 2 \\ -2 \\ -3 \\ 1 \end{array}\right],\left[\begin{array}{r} 5 \\ -4 \\ -6 \\ 1 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrrr} 1 & 1 & 2 & 5 \\ -2 & -1 & -2 & -4 \\ -1 & -2 & -3 & -6 \\ 1 & 1 & 1 & 1 \end{array}\right]\sim\left[\begin{array}{rrrr} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array}\right]\]

The set is linearly INDEPENDENT.


Example 50

V5 - Linear Independence (ver. 50)

Explain why the set of vectors

\[\left\{\left[\begin{array}{r} 2 \\ 0 \\ 2 \\ -1 \\ -1 \end{array}\right],\left[\begin{array}{r} -3 \\ 1 \\ 5 \\ -3 \\ 4 \end{array}\right],\left[\begin{array}{r} 7 \\ -1 \\ -2 \\ 0 \\ -7 \end{array}\right]\right\}\]

is linearly dependent or linearly independent.

Answer.

\[\left[\begin{array}{rrr} 2 & -3 & 7 \\ 0 & 1 & -1 \\ 2 & 5 & -2 \\ -1 & -3 & 0 \\ -1 & 4 & -7 \end{array}\right]\sim\left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array}\right]\]

The set is linearly INDEPENDENT.