Check work on linear transformation problem

Click For Summary
SUMMARY

The discussion focuses on verifying the calculations for standard matrices of linear transformations in two scenarios. The first transformation, T: ℝ³ → ℝ², results in a matrix A = [[1, 4, -5], [3, -7, 4]], derived from the images of the standard basis vectors. The second transformation, T: ℝ² → ℝ², involves two reflections, yielding a matrix A = [[0, 1], [-1, 0]]. Both matrices are essential for understanding the behavior of linear transformations in vector spaces.

PREREQUISITES
  • Understanding of linear transformations
  • Familiarity with standard basis vectors in ℝ³ and ℝ²
  • Knowledge of matrix representation of linear mappings
  • Concept of reflections in vector spaces
NEXT STEPS
  • Study the properties of linear transformations in vector spaces
  • Learn about matrix multiplication and its application in transformations
  • Explore the geometric interpretation of reflections in linear algebra
  • Investigate the implications of transformation matrices on vector spaces
USEFUL FOR

Students and educators in linear algebra, mathematicians focusing on transformations, and anyone seeking to deepen their understanding of matrix representations in vector spaces.

tandoorichicken
Messages
245
Reaction score
0
check work please on linear transformation problem

The problem is to find a standard matrix of T.
[tex]T:\mathbb{R}^3\rightarrow\mathbb{R}^2, T(\vec{e}_1) = (1,3), T(\vec{e}_2) = (4,-7), T(\vec{e}_3) = (-5,4)[/tex]
where e_1, e_2, and e_3 are the columns of the 3x3 identity matrix.
So here's what I did:
Find A for [itex]T(\vec{x})=A\vec{x}[/itex]

[tex]\vec{x}=I_3\vec{x}=\left[ \vec{e}_1 \; \vec{e}_2 \; \vec{e}_3 \right] \vec{x} = x_1\vec{e}_1 + x_2\vec{e}_2 + x_3\vec{e}_3[/tex]

[tex]T(\vec{x}) = T(x_1\vec{e}_1 + x_2\vec{e}_2 + x_3\vec{e}_3) = x_1 T(\vec{e}_1) + x_2 T(\vec{e}_2) + x_3 T(\vec{e}_3)[/tex]

[tex]\left[ T(\vec{e}_1) \; T(\vec{e}_2) \; T(\vec{e}_3)\right]\vec{x} = A\vec{x}[/tex]

[tex]A = \left[ T(\vec{e}_1) \; T(\vec{e}_2) \; T(\vec{e}_3)\right] =[/tex]
(well basically i screwed up the tex for this but its a 2x3 matrix with top row 1,4,-5 and bottom row 3,-7,4)
Note: a lot of this might be unnecessary, but my main goal is that I want to be sure that I am understanding this correctly.
 
Last edited:
Physics news on Phys.org
I think I finally understand linear transformation. Can someone check this one also?

[itex]T:\mathbb{R}^2\rightarrow\mathbb{R}^2[/itex] first reflects points through the horizontal [itex]x_1[/itex]-axis and then reflects points over the line [itex]x_2=x_1[/itex]

what I did:

Find A for [itex]T(\vec{x})=A\vec{x}[/itex]

Let [itex]T_1[/itex] be the first reflection.
[tex]\vec{e}_1 = (1,0), \vec{e}_2 = (0,1)[/tex]
[tex]T_1(\vec{e}_1) = (1,0), T_1(\vec{e}_2) = (0,-1)[/tex]

Let [itex]T_2[/itex] be the second reflection.
[tex]T(\vec{e}_1) = T_2(T_1(\vec{e}_1)) = (0,1), T(\vec{e}_2) = T_2(T_1(\vec{e}_2)) = (-1,0)[/tex]
[tex]A = [T(\vec{e}_1) \; T(\vec{e}_2)] = \left[<br /> \begin{array}{cc}<br /> 0 & 1\\<br /> -1 & 0<br /> \end{array}<br /> \right][/tex]
 

Similar threads

  • · Replies 16 ·
Replies
16
Views
3K
Replies
9
Views
2K
  • · Replies 42 ·
2
Replies
42
Views
5K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 10 ·
Replies
10
Views
6K
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K