Linearly Dependent Vectors: Find h Value and Justify

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Discussion Overview

The discussion revolves around finding the value(s) of h for which a set of three vectors is linearly dependent. Participants explore different methods, including row reduction and determinants, to justify their findings.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents an augmented matrix for the vectors and notes that the reduced row echelon form (rref) does not include h, leading to confusion about its role.
  • Another participant suggests looking for constants a, b, and c such that a linear combination of the vectors equals the zero vector, emphasizing the need to find values for h that satisfy this condition.
  • A different participant describes the row reduction process step-by-step, highlighting the importance of not dividing by h + 4 when h = -4, as this would lead to division by zero.
  • One participant proposes using the determinant of the matrix formed by the vectors, calculating it and concluding that for the vectors to be dependent, h must equal -4.

Areas of Agreement / Disagreement

There is a lack of consensus on the approach to finding h, with participants suggesting different methods (row reduction vs. determinant). Some participants agree on the value of h being -4, while others emphasize the need for careful consideration of conditions during calculations.

Contextual Notes

Participants express uncertainty about the implications of certain steps in their calculations, particularly regarding the division by expressions that could equal zero. The discussion reflects varying levels of comfort with the mathematical techniques involved.

Who May Find This Useful

This discussion may be useful for students or individuals interested in linear algebra, particularly those seeking to understand linear dependence and methods for determining it through different mathematical approaches.

karush
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$\tiny{311.1.7.11}$
ok I am going to do several of these till I get it...
Find the value(s) of h for which the vectors are linearly dependent. Justify
$\left[\begin{array}{rrrrrr}
2\\-2\\4
\end{array}\right],
\left[\begin{array}{rrrrrr}
4\\-6\\7
\end{array}\right],
\left[\begin{array}{rrrrrr}
-2\\2\\h
\end{array}\right]$
so the first step would be, I like the augment line
$\left[\begin{array}{rrr|r}
2&4&-2&0\\
-2&-6&2&0\\
4&7&h&0
\end{array}\right]$
EMH returned...
$\text{rref}=\left[ \begin{array}{cccc}1&0&0&0\\0&1&0&0\\0&0&1&0\end{array} \right]$

$h$ disappeared :censored:
 
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Remember that we are looking for constants a, b, and c such that
[math]a \vec{v_1} + b \vec{v_2} + c \vec{v_3} = \vec{0}[/math]

So you are looking for values a, b, c, and h such that
[math]\left [ \begin{matrix} 2a + 4b - 2c \\ -2a - 6b + 2c \\ 4a + 7b + ch \end{matrix} \right ] = \left [ \begin{matrix} 0 \\ 0 \\ 0 \end{matrix} \right ][/math]

-Dan
 
Do you know how to do the "row reduction" yourself?
Starting with
[math]\begin{bmatrix}2 & 4 & -2 & 0 \\ -2 & -6 & 2 & 0 \\ 4 & 7 & h & 0 \end{bmatrix}[/math]
I would (1) add the first row to the second row, (2) subtract twice the first row from the third row and (3) divide the first two by 2:
[math]\begin{bmatrix}1 & 2 & -1 & 0 \\ 0 & -2 & 0 & 0 \\ 0 & -1 & h+ 4 & 0 \end{bmatrix}[/math]

Now, add the second row to the first row, divide the second row by -2, and then add this new second row to the third row:
[math]\begin{bmatrix}1 & 0 & -1 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & h+ 4 & 0 \end{bmatrix}[/math]

Now, what your "EMH" did was divide the third row by h+4 and then add the new third row to the first row to get
[math]\begin{bmatrix}1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \end{bmatrix}[/math]
which, as you say, has no h!

But you are supposed to be SMARTER than some machine and recognize that you CAN'T divide by h+4 if h= -4 because then h+ 4= 0!
 
row reduction tends to be arithmetic torture
 
Would you prefer to use the determinant? Expanding on the third column,
$\left|\begin{array}{ccc} 2 & 4& -2\\ -2& -6 & 2 \\ 4 & 7 & h \end{array}\right|= -2\left|\begin{array}{cc}-2& -6 \\ 4 & 7\end{array}\right|- 2\left|\begin{array}{cc}2& 4 \\ 4& 7\end{array}\right|+ h\left|\begin{array}{cc}2& 4 \\ -2 & -6\end{array}\right|$= -2(10)- 2(-2)- 4h=-16- 4h.

In order that a= b= c= 0 NOT be the only solution (so that the vectors be dependent) the determinant must be 0: -16- 4h= 0 so 4h= -16 and h=-4 again.
 

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