Linearly Dependent: Show {1,2,1,0},{3,-4,5,6},{2,-1,3,3},(-2,6,-4,-6)

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In summary, if c3 is not 0, then setting c3 in front of the third vector (v3) in the set to 0 allows for the equations to be solved.
  • #1
jesuslovesu
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Homework Statement


Show that the given set is linearly dependent and write one of the vectors as a linear combination of the remaining vectors.

{(1,2,1,0), (3,-4,5,6), (2,-1,3,3), (-2,6,-4,-6) }

Homework Equations


The Attempt at a Solution


I've tried setting up equations like
(0,0,0,0) = c1 * (1,2,1,0) + c2 * (3,-4,5,6) + c3 * (2,-1,3,3) + c4 * (-2,6,-4,-6)
0 = c1 + 3c2 + 2c3 - 2c4 ... etc
Unfortunately each time I try to solve them, I keep on getting 0 = 0.

But I've noticed that if I set the constant (c3) in front of the third vector (v3) in the set to 0 then it works.
v4-v1 + v2 = (0,0,0,0). Is that a valid way to answer this question? Can I set one of the constants to 0?

And if so, why can't I just set all the constants to 0 and be done with it?
 
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  • #2
Did you set it up as an augmented matrix and use gaussian elimination? The fact that you get a row with all 0's shows that the vectors are linearly dependent...

If the only solution is c1=c2=c3=c4=0 (which is always a solution whether the vectors are dependent or independent), then the vectors are linearly independent. so showing that setting all constants to zero solves the system doesn't help to show they are dependent...

If you have a row with all 0's, then you have a free variable (if this sounds unfamiliar check your text about this)... choose c4 = 1... now get the other values... then write the fourth vector in terms of the first 3.
 
  • #3
jesuslovesu said:

Homework Statement


Show that the given set is linearly dependent and write one of the vectors as a linear combination of the remaining vectors.

{(1,2,1,0), (3,-4,5,6), (2,-1,3,3), (-2,6,-4,-6) }

Homework Equations





The Attempt at a Solution


I've tried setting up equations like
(0,0,0,0) = c1 * (1,2,1,0) + c2 * (3,-4,5,6) + c3 * (2,-1,3,3) + c4 * (-2,6,-4,-6)
0 = c1 + 3c2 + 2c3 - 2c4 ... etc
Unfortunately each time I try to solve them, I keep on getting 0 = 0.

But I've noticed that if I set the constant (c3) in front of the third vector (v3) in the set to 0 then it works.
v4-v1 + v2 = (0,0,0,0). Is that a valid way to answer this question? Can I set one of the constants to 0?

And if so, why can't I just set all the constants to 0 and be done with it?
I don't understand what you mean by "getting 0= 0". Exactly what are you doing to solve them? You can't just "set all the constants to 0 and be done with it" because the whole point is whether there is ANOTHER way of writing the 0 vector. If a set of vectors "spans" the space, then every vector can be written as a combination of those vectors. If a set of vectors is DEPENDENT then some vectors can be written as a combination of those vectors in more than one way. If a set of vectors both spans the space and is independent, then every vector can be written as a combination of them in ONLY ONE WAY

You say "I've noticed that if I set the constant (c3) in front of the third vector (v3) in the set to 0 then it works." I'm not sure what you mean by "works". Setting c3 to 0 in (0,0,0,0) = c1 * (1,2,1,0) + c2 * (3,-4,5,6) + c3 * (2,-1,3,3) + c4 * (-2,6,-4,-6) gives (0,0,0,0)= (0,0,0,0) = c1 * (1,2,1,0) + c2 * (3,-4,5,6) + c4 * (-2,6,-4,-6) .
Then what? you have 0= c1+ 3c2-2c4, 0= 2c1-4c2+6c4, 0= c1+ 5c2-4c3, 0= 6c2-6c4.
That last equation, of course, says c2= c4 so the other equations become 0= c1- c2, 0= 2c1+ 2c2, and 0= c1+ c2. Adding the first and last of those, 0= 2c1 so c1= 0. and then c2= c4= 0. Okay, assuming c3=0, you get that all the other cooefficients 0 also. But what if c3 is not 0? It is still possible that there would be some combination with c3 not 0 that would work.
 

What does it mean for a set of vectors to be linearly dependent?

Linear dependence means that one or more vectors in a set can be written as a linear combination of the other vectors in the set. In other words, one vector can be expressed as a scalar multiple of another vector or a combination of multiple vectors in the set.

How can I determine if a set of vectors is linearly dependent?

To determine if a set of vectors is linearly dependent, you can perform row operations on the vectors and see if any of them can be reduced to a row of zeros. If this is the case, then the vectors are linearly dependent. Additionally, you can also check if the determinant of the matrix formed by the vectors is equal to 0, which would also indicate linear dependence.

What is the purpose of showing linear dependence?

Showing linear dependence can help in understanding the relationships between vectors in a set. It can also be useful in solving systems of linear equations or finding a basis for a vector space.

Can a set of vectors be both linearly dependent and linearly independent?

No, a set of vectors cannot be both linearly dependent and linearly independent. A set is either linearly dependent or linearly independent, there is no overlap between the two concepts.

What is the difference between linear dependence and collinearity?

Linear dependence refers to the relationship between vectors in a set, where one or more vectors can be expressed as a linear combination of others. Collinearity, on the other hand, refers to the relationship between points in a 2-dimensional space, where all points lie on the same line. Collinearity does not involve the concept of linear combination like linear dependence does.

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