What Values of x Make These Vectors Linearly Dependent?

In summary, the vectors are dependent if and only if there exists a number, a, not all 0, such that au+ bv+ cw= 0.
  • #1
mkir
10
0

Homework Statement


For what values of x are the vectors,

[1]
[x]
[2x]

[1]
[-1]
[-2]

[2]
[1]
[x]

linearly dependent?

Homework Equations





The Attempt at a Solution


I made a matrix,

[1 ; 1 ; 2 ; 0]
[x ;-1 ; 1 ; 0]
[2x;-2 ; x ; 0]

but I'm having trouble figuring out how to get rid of the x's in the first row, if I get rid of one of the x's then I'm left with nothing to get rid of the other.
 
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  • #2
Why not just compute the following determinant:
[tex] \begin{vmatrix} 1 & 1 & 2 \\ x & -1 & 1 \\ 2x & -2 & x \end{vmatrix}[/tex]
The determinant will be zero iff the vectors are linearly dependent.
 
  • #3
Well, I haven't learned about determinants in class yet so I don't know how to do that. What we learned in class was to find pivots and if there are 1 or more free variables then it is linearly dependent.
 
  • #4
Ok, trying out the determinant idea, I got x = 2 and x = -1. Did I do it right?
 
  • #5
mkir said:
[1 ; 1 ; 2 ; 0]
[x ;-1 ; 1 ; 0]
[2x;-2 ; x ; 0]

but I'm having trouble figuring out how to get rid of the x's in the first row, if I get rid of one of the x's then I'm left with nothing to get rid of the other.
There isn't any x in the first row. So what you have to do is to use row-reduction to reduce it to reduced row echelon form. Along the way, note all those cases whereby you multiply each row with a factor involving x which may not be defined for certain values of x. For example, if you multiplied row 1 by 1/x, you should note x=0 is undefined.

So collect all those special cases and perform from the start assuming x is given those forbidden values. So as you can see, this makes it rather tedious.

The other way as you have done it yields -2 and -1. That's correct.
 
  • #6
How about just using the definition of "linearly dependent"?

A set of vectors, {u, v, w} is "linearly dependent" if and only if there exist numbers, a, b, c, not all 0, such that au+ bv+ cw= 0.

Here, u= <1, x, 2x>, v= <1, -1, -2> and w= <2, 1, x> so our equation is
a<1, x, 2x>+ b<1, -1, -2>+ c<2, 1, x>= 0 or
<a+ b+ 2c, ax-b+ c, 2ax-2b+ cx>= <0, 0, 0> which gives the three equations
a+ b+ 2c= 0, ax- b+ c= 0, 2ax- 2b+ cx= 0. "x" is a parameter so this is a set of three equations in 3 variables a, b, and c. In general, we can solve such a set for single values of a, b, and c and, since a=b=c= 0 obviously satisfy the equations, that would be the "usual" solution. So we are really asking "for what values of x" can we NOT find a single solution. To answer that, TRY to solve the equations.

Obviously, adding the first two equations eliminates b: (1+x)a+ 3c= 0. Almost as obviously, adding twice the first equation to the third also eliminates b: 2(1+x)a+ (4+ x)c. Multiply the first of those equations by 2 and subtract from the other:(4+ x)c- 6c= (-2+ x)c= 0. If we just divide by -2+ x, we get c= 0 and then we have (1+x)a= 0. Dividing that by -1 gives a= 0. Of course, if a and b are both 0, any of the first three equations gives b= 0. That is the condition that the three vectors be independent. For what values of x can we NOT solve for a or c so the three vectors are dependent?
 

FAQ: What Values of x Make These Vectors Linearly Dependent?

What is a vector?

A vector is a mathematical object that has both magnitude and direction. It is often represented as an arrow in a coordinate system, with the length of the arrow representing the magnitude and the direction of the arrow representing the direction.

What is a linear combination of vectors?

A linear combination of vectors is a sum of scalar multiples of those vectors. For example, given two vectors v and w, a linear combination of v and w would be written as av + bw, where a and b are scalars.

What does it mean for vectors to be linearly dependent?

Two or more vectors are considered linearly dependent if one of the vectors can be written as a linear combination of the others. In other words, one vector is a scalar multiple of another vector or a combination of multiple vectors.

How do you determine if a set of vectors is linearly dependent or independent?

To determine if a set of vectors is linearly dependent or independent, you can use the method of row reduction on a matrix composed of the vectors. If the resulting reduced row echelon form has a row of zeros, the vectors are linearly dependent. If there are no rows of zeros, the vectors are linearly independent.

Can a set of three vectors be linearly dependent in a three-dimensional space?

Yes, a set of three or more vectors can be linearly dependent in a three-dimensional space. This means that at least one of the vectors can be written as a linear combination of the others. This is not limited to three-dimensional spaces and can occur in any dimension.

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