What Are the Bases for Column and Null Spaces of These Matrices?

Click For Summary
SUMMARY

This discussion focuses on finding bases for the image and kernel of specific matrices, particularly matrix A in the first question, which is a 4x3 matrix. The user seeks to understand the concepts of column space and null space in linear algebra, specifically for matrices like $$ A = \left[\begin{matrix}-6 & -4 & -1 \\ -4 & 6 & -5 \\ -6 & -4 & -1 \\ 10 & -2 & 6\end{matrix}\right] $$ and $$ A = \left[\begin{matrix}16 & 0 \\ -8 & 0\end{matrix}\right] $$, as well as the linear transformation defined by $$ L(X) = \left[\begin{array}{cc} 10 &2 \\ 20 &4 \end{array}\right] X $$ in the context of vector spaces. The discussion emphasizes the importance of determining the rank of matrices to find linearly independent columns.

PREREQUISITES
  • Understanding of linear algebra concepts such as column space and null space.
  • Familiarity with matrix operations and transformations.
  • Knowledge of how to calculate the rank of a matrix.
  • Basic proficiency in working with vector spaces and linear mappings.
NEXT STEPS
  • Learn how to compute the rank of a matrix using Gaussian elimination.
  • Study the relationship between the rank of a matrix and its column space.
  • Explore the concept of linear independence in the context of matrix columns.
  • Investigate the properties of linear transformations and their effects on vector spaces.
USEFUL FOR

Students studying linear algebra, educators teaching matrix theory, and anyone preparing for exams involving vector spaces and linear transformations.

aidandeno
Messages
1
Reaction score
0
Please help me with these three questions. I'm really struggling to understand these concepts and I think that with an understanding of these three, I will be able to tackle the rest before my test on Wednesday.

Thank you.
http://www.texpaste.com/n/g4rwmzzw
1) $$ A = \left[\begin{matrix}
-6 & -4 & -1 \\
-4 & 6 & -5 \\
-6 & -4 & -1 \\
10 & -2 & 6
\end{matrix}\right] $$
Find a basis for the image of $A$ (or, equivalently, for the linear transformation $T(x)=Ax$) in the form

$$\{ \left[\begin{matrix}
a \\ b \\ c \\ d
\end{matrix}\right] , \left[\begin{matrix}
e \\ f \\ g \\ h
\end{matrix}\right] \}$$

2)$$ A = \left[\begin{matrix}
16 & 0 \\
-8 & 0
\end{matrix}\right] $$
Find bases for the kernel and image of $T(\vec{x}) = A \vec{x}. $

A basis for the kernel of $A$ is $$\{ \left[\begin{matrix}
a\\
b
\end{matrix}\right] \}$$
A basis for the image of $A$ is $$\{ \left[\begin{matrix}
c\\
d
\end{matrix}\right] \}$$

3)
Let $V=\mathbb{R}^{2\times 2}$ be the vector space of $2\times 2$ matrices and let $L :V\to V$ be defined by $L(X) = \left[\begin{array}{cc} 10 &2\cr 20 &4 \end{array}\right] X$

A basis for $\ker (L )$ is:$$\{ \left[\begin{matrix}
a & b\\
c & d
\end{matrix}\right] , \left[\begin{matrix}
e & f\\
g & h
\end{matrix}\right]\}$$

A basis for $\text{ran}(L)$ is:$$\{ \left[\begin{matrix}
i & j\\
k & l
\end{matrix}\right] , \left[\begin{matrix}
m & n\\
o & p
\end{matrix}\right]\}$$
 
Physics news on Phys.org
Hi aidandeno,

Welcome to MHB! :)

Please ask one question per thread and show us what you've done so we know where to help you. Let's do #1.

A basis for the image is a basis for the column space of $A$. What is the rank of $A$? How can we find out the number of linearly independent columns?
 

Similar threads

  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 34 ·
2
Replies
34
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 14 ·
Replies
14
Views
3K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K