How Do You Determine the Range of a Matrix?

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To determine the range of a matrix, one must analyze the linear combinations of its columns, which can be effectively done through row reduction. The row-reduced form indicates that the first two columns are linearly independent, while the last two are linear combinations of these. For the linear transformation L, it is essential to verify the properties of linearity by checking if the transformation satisfies the conditions of additivity and homogeneity. The discussion also highlights the importance of using distinct variables in equations to avoid confusion. Ultimately, identifying the images of the standard basis vectors helps in establishing a spanning set for the range of the transformation.
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Homework Statement


##\begin{bmatrix}1 & 1 & -1 & -1 \\1 & 2 & 0 & 1 \\-1 & 1 & 3 & 5 \\2 & 3 & -1 & 0\end{bmatrix}##
a) Determine the range of L_A

Homework Equations


None

The Attempt at a Solution


The row-reduced matrix is as follows
##\begin{bmatrix}1 & 0 & -2 & -3 \\0 & 1 & 1 & 2 \\0 & 0 & 0 & 0 \\0 & 0 & 0 & 0\end{bmatrix}##

Then
##2x_{3}+3x_{4}##

##-x_{3}-2x_{4}##

##x_{3}##

##x_{4}##

Is this correct?

Homework Statement


##L \big( \begin{bmatrix}a & b \\c & d \end{bmatrix} \big) = \begin{bmatrix}0 & a \\b & c \end{bmatrix}##
a) Show that L is a linear transformation.
b) Define L^{k} = L \circ L^{k-1} for every integer k >= 2

Homework Equations


To be a linear transformation, these must be true
i) ##f(x_{1})+f(x_{2})=f(x_{1} + x_{2})##
ii) ##cf(x_{1})=f(cx_{1})##

The Attempt at a Solution


a) I'm not sure how to start showing this. For i) do I add the two matrices? For ii) do I just multiply each entry of the first matrix by c?
b) I don't know where to start at all. I'm not even sure what the question is asking.
 
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Is this two separate exercises ? Then why not start two separate threads?

As for the second exercise:
i) yes, but I would not call them "the" two matrices, but "any" two matrices
ii) yes, but you confuse everyone if you use c twice.

For the first exercise I think you want to check what values linear combinations of the columns can assume. So why row-reduce the thing ?
 
For the first exercise, I though to row reduce it then find that x3 and x4 can be any real number by x1 and x2 depend on x3 and x4.

For the second exercise, my textbook uses that same notation and uses c twice.
 
Row reducing is fine (I did some reading up...) because it doesn't affect the dependence relations between the column vectors.
This way you find that first two columns are linearly independent. 3 and 4 are linear combinations of these two.

Don't use the same c. Prove that ##L \big( x \begin{bmatrix}a & b \\c & d \end{bmatrix} \big) = x\ L \big( \begin{bmatrix}a & b \\c & d \end{bmatrix} \big) ##
 
So how does that lead me to finding the range?
 
Bump.
 
Take the standard basis ##\{e_1,e_2,e_3,e_4\}## of ##\mathbb{R}^4##. This is a basis so it spans the entire space.
Now, we know that the image ##\{L_A(e_1), L_A(e_2), L_A(e_3), L_A(e_4)\}## spans the range of ##L_A##. So find the images of the basis vectors to obtain a set that spans the space. Then see if you can extract a basis from the set.
 

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