Understanding Null Space and Column Space of a Matrix

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Discussion Overview

The discussion revolves around understanding the concepts of null space and column space of a matrix, specifically for the matrix provided in the initial post. Participants are exploring definitions and methods to find these spaces, as well as addressing the context of a practice quiz question.

Discussion Character

  • Homework-related
  • Conceptual clarification

Main Points Raised

  • The original poster (OP) presents a matrix and asks for help in finding its null space and column space, expressing confusion due to missing lecture attendance.
  • Some participants inquire about the definitions of null space and column space as provided in the OP's resources, suggesting that these definitions should not reference specific vectors.
  • One participant elaborates on the definitions of null space and column space, explaining that the null space consists of all vectors that satisfy the equation \(A\mathbf{x} = 0\) and that the column space is the set of vectors that can be expressed as \(A\mathbf{x}\) for some vector \(\mathbf{x}\).
  • Another participant expresses frustration with the OP's lack of effort in seeking definitions and understanding the concepts before asking for help.

Areas of Agreement / Disagreement

There is no consensus on how to approach the problem, as participants have differing views on the OP's responsibility to seek out definitions and understanding. Some emphasize the importance of looking up definitions, while others provide explanations directly.

Contextual Notes

The discussion highlights a potential gap in the OP's understanding of the foundational concepts of linear algebra, specifically regarding the definitions and implications of null space and column space. There is an assumption that the OP has access to relevant educational materials that define these terms.

Who May Find This Useful

Students studying linear algebra, particularly those struggling with the concepts of null space and column space, may find this discussion beneficial.

karush
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$\tiny{311.q.02.05}\\$
Let
$A=\begin{bmatrix}
1 & 5 & -4 & -3 & 1 \\
0 & 1 & -2 & 1 & 0 \\
0 & 0 & 0 & 0 & 0
\end{bmatrix},
u=\begin{bmatrix}
7\\ 0\\ 1 \\ 2 \\ 3
\end{bmatrix}
and \,
v=\begin{bmatrix} 3\\ 5\\ 0 \end{bmatrix}$
$\textsf{(a) Find Nul} \textbf{A} $
$\textsf{(b) Find Col} \textbf{A} $ok basically clueless, wasn't there for lecture
 
Last edited:
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You probably have a book or lecture notes?
What are the definitions of $\operatorname{Nul}{A}$ and $\operatorname{Col}{A}$ they give there? (These definitions should not involve $u$ nor $v$.)
 
Krylov said:
You probably have a book or lecture notes?
What are the definitions of $\operatorname{Nul}{A}$ and $\operatorname{Col}{A}$ they give there? (These definitions should not involve $u$ nor $v$.)

this was on a practice quiz
not from the text. this is all that was said.
 
karush said:
this was on a practice quiz
not from the text. this is all that was said.

That seems a little strange. There must be a place where your teacher (or the book he is using) has defined $\operatorname{Nul}{A}$ and $\operatorname{Col}{A}$. I strongly recommend that you look it up yourself and compare with the following:

$\operatorname{Nul}{A}$ abbreviates the nullspace of $A$. Assuming you work with real numbers, for this particular matrix it is the set of all vectors $\mathbf{x}$ in $\mathbb{R}^5$ such that $A\mathbf{x} = 0$. So, finding $\operatorname{Nul}{A}$ is equivalent to finding the solution space of the homogeneous system corresponding to $A$. Do you understand this?

On the other hand, $\operatorname{Col}{A}$ abbreviates the column space of $A$. In this example it is the set of all $\mathbf{y} \in \mathbb{R}^3$ such that $A\mathbf{x} = \mathbf{y}$ for some $\mathbf{x} \in \mathbb{R}^5$. So, $\operatorname{Col}{A}$ is the linear span of the columns of $A$. Are all the columns needed? How can you find out which ones are? (For this, note that $A$ is already in row echelon form.)
 
I'm sorry for answering. Indeed, if the OP does not want to make any effort, then why should I?

Please just look up what $\operatorname{Nul}{A}$ and $\operatorname{Col}{A}$ mean, make sure that you understand the definition precisely, and do the exercise.
 

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