How Do You Determine the Range of a Matrix?

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Homework Help Overview

The discussion revolves around determining the range of a matrix and understanding linear transformations. Participants are examining a specific matrix and its properties, as well as exploring the implications of linearity in transformations.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss row-reducing the matrix to analyze linear combinations of its columns and question the necessity of this step. There is also uncertainty regarding the definitions and properties of linear transformations, particularly in relation to the notation used.

Discussion Status

Some participants have provided insights into the row-reduction process and its relevance to determining linear independence among columns. Others have raised questions about the clarity of the exercises and the notation used, indicating a mix of interpretations and approaches without reaching a consensus.

Contextual Notes

There is a suggestion that the original poster may be combining two separate exercises, which could lead to confusion. Additionally, the notation used in the second exercise has been pointed out as potentially misleading.

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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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