Determining if a vector b is a linear combination of vectors a1,a2,a3

In summary, the augmented matrix shows that the vectors a1, a2, and a3 do not span all of R3, meaning that b is not a linear combination of them. This can be seen by the fact that the reduced row echelon form has a row of all zeros, indicating that there are no solutions for x1, x2, and x3 that would result in b.
  • #1
nglatz
2
0
given a1=[1,-2.0] , a2=[0,1,2] , a3=[5,-6,8] , b=[2,-1,6] determine if b is a linear combination of a1, a2, a3.

I put these vectors into an augmented matrix and row reduced. My result was columns 1 and 2 having pivots and the last row being all zeros. Please help me understand how this results in b NOT being a linear combination of a1, a2, a3.

The only thing i can think of is that vectors a1, a2, a3 do not span all of R3 and b is not part of the plane that a1, a2, a3 span. If this is the case, please explain how i can see this from the augmented matrix in RREF.
 
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  • #2
You've misinterpreted the results of the row reduction.

First let's start with the result:
[itex] \left[ \begin {array}{cccc} 1&0&5&2\\ -2&1&-6&-1
\\ 0&2&8&6\end {array} \right]
\to \left[ \begin {array}{cccc} 1&0&5&2\\ 0&1&4&3
\\ 0&0&0&0\end {array} \right]
[/itex]

So the coefficients of a linear combination [itex]x_1a_1 + x_2a_2 + x_3a_3 = b[/itex] take the form:
[itex]
\left[\begin{array}{c}
x_1 \\ x_2 \\ x_3
\end{array}\right] \in
\left\{
\left[\begin{array}{c}
2 \\ 3 \\ 0
\end{array}\right] +
t\left[\begin{array}{c}
-5 \\ -4 \\ 1
\end{array}\right] \|
t \in \mathbb{F}
\right\}
[/itex]
 
  • #3
ok. that clears things up. thanks so much
 

What does it mean for a vector to be a linear combination of other vectors?

A vector b is considered a linear combination of vectors a1, a2, a3 if it can be written as a sum of scalar multiples of those vectors. In other words, b can be expressed as a linear combination of a1, a2, and a3 if there exist scalars c1, c2, and c3 such that b = c1*a1 + c2*a2 + c3*a3.

How do you determine if a vector is a linear combination of other vectors?

To determine if a vector b is a linear combination of vectors a1, a2, a3, you can create an augmented matrix with the vectors a1, a2, a3 as columns and the vector b as the rightmost column. Then, use the row operations of Gaussian elimination to reduce the matrix to its echelon form. If the echelon form has a pivot in every row, then b is a linear combination of a1, a2, and a3.

What is the significance of determining if a vector is a linear combination of other vectors?

Determining if a vector is a linear combination of other vectors is important in linear algebra because it helps us understand the relationship between vectors and their span. If a vector is not a linear combination of other vectors, it means that it cannot be expressed as a combination of those vectors and may lie outside of their span.

Can a vector be a linear combination of an infinite number of vectors?

Yes, a vector can be a linear combination of an infinite number of vectors. This is because, in linear algebra, we work with vectors in infinite-dimensional spaces, where there are infinitely many vectors that can be used as a basis for any given vector.

Is it possible for a vector to be a linear combination of vectors that are not linearly independent?

Yes, it is possible for a vector to be a linear combination of vectors that are not linearly independent. This is because linear dependence only means that one vector can be written as a linear combination of the other vectors, but it does not determine the coefficients of the linear combination. Therefore, even if the vectors are not linearly independent, a linear combination can still be formed using different coefficients.

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