Linear Algebra Question: Eigenvectors & Eignvalues

Click For Summary
SUMMARY

This discussion focuses on the concepts of eigenvectors and eigenvalues in the context of linear transformations, specifically a reflection about the line y=x and a contraction by a factor of 1/2. The eigenvalues for the reflection transformation are determined to be 1 and -1, corresponding to eigenvectors along and perpendicular to the line y=x, respectively. For the contraction transformation, the eigenvalue is 1/2, indicating that all vectors are scaled down by this factor. The discussion emphasizes the importance of geometric interpretation in understanding these transformations.

PREREQUISITES
  • Understanding of linear transformations in Linear Algebra
  • Familiarity with eigenvalues and eigenvectors
  • Knowledge of geometric interpretations of matrix operations
  • Basic proficiency in matrix multiplication
NEXT STEPS
  • Study the geometric interpretation of eigenvalues and eigenvectors in linear transformations
  • Explore the properties of reflections in Linear Algebra
  • Learn about contractions and their effects on vector spaces
  • Practice computing eigenvalues and eigenvectors for various matrices
USEFUL FOR

Students studying Linear Algebra, educators teaching matrix transformations, and anyone interested in the geometric aspects of eigenvalues and eigenvectors.

FrogginTeach
Messages
13
Reaction score
0
This is my last week in Linear Algebra. I am working on our last homework assignment before the exam so I want to make sure I know what I am doing.

In each part, make a conjecture about the eigenvectors and eigenvalues of the matrix A corresponding to the given transformation by considering the geometric properties of multiplication by A. Confirm each of your conjectures with computations.

A. Reflection about the line y=x
B. Contraction by a factor of 1/2

I'm not quite sure how to get started.
 

Attachments

  • 6.2 D5.jpg
    6.2 D5.jpg
    15.8 KB · Views: 505
Physics news on Phys.org
reflection about a line does not change the length of a vector. That sharply restricts the possible eigenvalues. Also consider two crucial cases:
(1) reflection about y= x of the vector <1, 1>, lying in y= x.
(2) reflection about y= x of the vector <1, -1>, perpendicular to y= x.

For the second, think about happens to <x, y>. "Contraction by a factor of 1/2" changes <x, y> to what vector? How can that be equal to [itex]\lambda <x, y>[/itex]?
 

Similar threads

Replies
2
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
9
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 24 ·
Replies
24
Views
4K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 6 ·
Replies
6
Views
5K
  • · Replies 1 ·
Replies
1
Views
2K