Finding non-trivial linear combination

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Homework Help Overview

The discussion revolves around demonstrating the linear dependence of a set of vectors by finding a nontrivial linear combination that results in the zero vector. Participants are tasked with expressing one vector as a linear combination of others within the set.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the use of Gauss-Jordan elimination to manipulate a matrix representation of the vectors. There is uncertainty about the steps to take after initial row operations, and some participants express confusion regarding the results obtained.

Discussion Status

Some participants have provided guidance on performing specific row operations to simplify the matrix, while others question the assumptions about the vectors being analyzed. There is an acknowledgment of multiple interpretations of the problem and the existence of infinite solutions based on the equations derived.

Contextual Notes

Participants note the potential for confusion stemming from differing coefficients in the solutions compared to those provided in a reference text. There is also mention of the need to clarify which vectors are being considered for linear dependence.

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Homework Statement


Show that the set is linearly dependent by finding a nontrivial linear combination (of vectors in the set) whose sum is the zero vector. Then express one of the vectors in the set as a linear combination of the other vectors in the set.

Homework Equations



c1(u1,u2,3) + c2(v1,v2,v3) +c3(w1,w2,w3)

The Attempt at a Solution



I'm unable to find a way to solve this using Gauss-Jordan elimination. My initial matrix looks like this:

[ 3 -1 2 0 ]
[ 4 1 0 0 ]
 
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trojansc82 said:

Homework Statement


Show that the set is linearly dependent by finding a nontrivial linear combination (of vectors in the set) whose sum is the zero vector. Then express one of the vectors in the set as a linear combination of the other vectors in the set.


Homework Equations



c1(u1,u2,3) + c2(v1,v2,v3) +c3(w1,w2,w3)

The Attempt at a Solution



I'm unable to find a way to solve this using Gauss-Jordan elimination. My initial matrix looks like this:

[ 3 -1 2 0 ]
[ 4 1 0 0 ]

Are the vectors you are to show are linearly dependent the first three columns of your matrix? To use Gauss-Jordan, you could start by adding (-4) times the first row to 3 times the second row.
 
Mark44 said:
Are the vectors you are to show are linearly dependent the first three columns of your matrix? To use Gauss-Jordan, you could start by adding (-4) times the first row to 3 times the second row.

I did that, and all it did was get rid of the coefficient c1. I now have:

[3 -1 2 0]
[0 -7 8 0]

I'm confused as to how to proceed from this point.
 
1. Multiply row 2 by -1/7 to make the first entry in that row a 1.
2. Use that entry to eliminate the entry directly above it.
3. Multiply row 1 by 1/3.
The matrix will now be in reduced, row-echelon form. Read off the coefficients of c1, c2, and c3.
 
Mark44 said:
1. Multiply row 2 by -1/7 to make the first entry in that row a 1.
2. Use that entry to eliminate the entry directly above it.
3. Multiply row 1 by 1/3.
The matrix will now be in reduced, row-echelon form. Read off the coefficients of c1, c2, and c3.

In row 1, I have c1 = 1, c2 = 0, c3 = 2/7.

However, the answer in the back of the book states that the coefficients are c1=1, c2=-4, and c3=7/2.
 
Without using matrices:

Assuming your vectors are <3, 4> , <-1, 1>, < 2, 0>, then any linear combination is of the form a<3, 4>+ b<-1, 1>+ c<2, 0>= <3a- b+ c, 4a+ b> and you want that equal to the 0 vector, <0, 0> so you want 3a- b+ c= 0 and 4a+ b= 0.

That is two equations in three unknowns so of course there are an infinite number of solutions.

If you do what Mark44 suggested, divide the first row by 3 and the second by -7, you get
\begin{bmatrix}1 &amp; -\frac{1}{3} &amp; \frac{2}{3} &amp; 0 \\ 0 &amp; 1 &amp; -\frac{8}{7} &amp; 0 \end{bmatrix}

Which does NOT give specific numbers as solutions. There are, as I said, an infinite number of solutions. The first row of the matrix is equivalent to the equation c_1- (1/3)c_2+ (2/3)c_3= 0 and the second row is equivalent to the equation c_2- (8/7)c_3= 0. You can solve the second equation for c_2 as a multiple of c_3, replace c_2 in the first equation with that and then solve for c_1 as a multiple of c_3. Choosing different values for c_3 will give different answers.
 

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