Is Vector w in the Range of Matrix A?

In summary, the conversation discusses a linear transformation defined by L(v)= A(v) and asks if a given vector w is in the range of L. To solve this, the determinant of A is checked and if it is not equal to 0, then any w is in the range. If the determinant is 0, then the three equations -x+2y=1, x+y+z=2, and 2x-y+z=-1 must be solved to determine if w is in the column space of A.
  • #1
newtomath
37
0
L: R^3 -> R^3 is a linear transformation defined by L(v) =A(v)
A is given as -1 2 0 and w= 1
1 1 1 2
2 -1 1 -1

is w in the range of L?

My understanding is that if a vector exists such that the product of A and this vector = W then it is in the range. I then have the following equations:

-X +2Y = 1
X+Y+Z= 2
2X -Y+Z= -1

no solutions exists, so w is not in the range. Can someone confirm this or offer any other insight?

thanks
 
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  • #2
bit hard to read is A given as:
[tex] A = \begin{bmatrix} -1 & 2 & 0\\ 1 & 1 & 1 \\ 2 & -1 & 1 \end{bmatrix} [/tex]
 
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  • #3
what you've done sounds reasonable, though i haven't checked the math,

note so what you are trying to solve is:
[tex] A \textbf{x} = \textbf{x} [/tex]

If A was invertible a solution must exist given by:
[tex] \textbf{x} = A^{-1} \textbf{x} [/tex]
so you could check that [itex] det(A) = 0[/itex]

Now, consider the action of A on a unit vector:
[tex] \textbf{e}_1 = (1,0,0)^T [/tex]
[tex] A\textbf{e}_1 = \textbf{a}_1 [/tex]
where [itex] \textbf{a}_1 [/itex] is the first column vector of [itex] A [/itex]

Now every vector can be wirtten in terms of the basis of unit vectors, so the range of A is in fact the column space of A. So in effect you are checking w is not in the column space of A.
 
  • #4
Internet readers do not respect spaces so better to use LaTex.

If
[tex]A= \begin{bmatrix}-1 & 2 & 0 \\ 1 & 1 & 1 \\ 2 & - 1 & 1\end{bmatrix}[/tex]
and
[tex]w= \begin{bmatrix} 1 \\ 2 \\ -1\end{bmatrix}[/tex]

is w in the range of A?
That will be true if and only if there exist x, y, z such that
[tex]\begin{bmatrix}-1 & 2 & 0 \\ 1 & 1 & 1 \\ 2 & - 1 & 1\end{bmatrix}\begin{bmatrix}x \\ y \\ z\end{bmatrix}= \begin{bmatrix} 1 \\ 2 \\ -1\end{bmatrix}[/itex]
(Click on those to see the code.)

That can be written as the three equations, -x+ 2y= 1, x+ y+ z= 2, 2x- y+ z= -1.

IF those three equations have a solution (not necessarily unique) then w is in the range of A.

It might be simpler to check the determinant of A. If the determinant is not 0, the range of A is all of [itex]R^3[/itex] and so any w is in it.

If the determinant of a is 0, then you would have to check if w is in the "columns space". In that case, it is probably simpler to solve the three equations above.
 

FAQ: Is Vector w in the Range of Matrix A?

What is a linear transformation range?

A linear transformation range is the set of all possible output values that can be obtained by applying a linear transformation to a given set of input values.

How is a linear transformation range determined?

The linear transformation range can be determined by applying the transformation to all possible input values and observing the resulting output values.

What is the importance of studying linear transformation ranges?

Studying linear transformation ranges is important because it helps in understanding the behavior and properties of linear transformations, which are widely used in various fields of science and mathematics.

Can a linear transformation range be infinite?

Yes, a linear transformation range can be infinite if the linear transformation has an unbounded domain, meaning that there is no limit to the possible input values.

How can linear transformation ranges be visualized?

Linear transformation ranges can be visualized by plotting the input and output values on a graph and observing the pattern of the resulting points. This can help in understanding the relationship between the input and output values and the overall behavior of the transformation.

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