Proving Reflections in R^n are Symmetric Matrices

Click For Summary
SUMMARY

The matrix of any reflection in R^n is a symmetric matrix, as established through the properties of orthogonal matrices. Specifically, for a reflection defined by F(x) = Ax + b, where A is orthogonal (A^t A = I), it is shown that A = A^t, confirming symmetry. The proof involves demonstrating that A^2 = I, leading to the conclusion that A is indeed equal to its transpose. This discussion clarifies the relationship between reflections and symmetric matrices in the context of linear algebra.

PREREQUISITES
  • Understanding of linear transformations in R^n
  • Knowledge of orthogonal matrices and their properties
  • Familiarity with isometries and reflections
  • Basic concepts of matrix algebra, including transposes and inverses
NEXT STEPS
  • Study the properties of orthogonal matrices in detail
  • Learn about the geometric interpretation of reflections in R^n
  • Explore the implications of symmetric matrices in various applications
  • Investigate the relationship between linear transformations and eigenvalues
USEFUL FOR

Mathematicians, students of linear algebra, and anyone interested in the geometric properties of transformations in R^n will benefit from this discussion.

Pearce_09
Messages
71
Reaction score
0
done

Hi there,
I am have trouble with a proof. I have some steps done, but I am not sure if I am aproaching this correctly.
the question is:

Show that the matrix of any reflection in R^n is a symmetric matrix.

I know that F(x) = Ax + b is an isometry
where A is an Orthoganol matrix , and vector b is in R^n
this implies that A^t A = I (identity matrix) iff A^-1 = A^t

and if f is a reflection then f(f(x)) = x
then f(f(x)) = A(Ax + b) + b = x
_________
i need to somehow prove that A = A^t which then means the matrix is symmetric

thank you for you time and help
regards,
adam
 
Last edited:
Physics news on Phys.org
Not every reflection in Rn can be represented by a matrix. Now, do you mean that (1) every reflection in an n-1 dimensional hyperplane passing through the origin in Rn is a symmetric matrix, or do you mean (2) the matrix part of every reflection in Rn is symmetric? If f is a reflection in an n-1 dimensional hyperplane L, then f(x) = Ax + b, where A is the matrix corresponding to a reflection in the n-1 dimensional hyperplane passing through the origin, parallel to the hyperplane L, and if d is the shortest vector from 0 to L, then b = 2d. You know that A is orthogonal, so you know that A-1 = AT. It remains to show that A-1 = A. But this is true since:

A(Ax + b) + b = x
A²x + Ab + b = x
(A² - I)x = -(Ab + b)

Now you could use the fact that Ab = -b, so the right side is:

-(Ab + b) = -(-b + b) = -0 = 0

for all x, hence A² - I = 0, hence A² = I, and thus A = A-1. But suppose you didn't know what Ab was. Regardless, you still know that the right side is:

-(Ab + b) for all x

but this is a constant, so you have (A² - I)x = y, where y is a constant vector, and this is true for all x. If you plug in x = 0, then you get 0 = y. In other words, the only linear function that is constant is the 0 function. So without knowing explicitly what Ab is, you can deduce still that the right side must be 0 (and so, if you wanted, could then deduce that Ab = -b), and since the right side is 0 for all x, A² - I = 0, and the desired result follows.
 
Oh wow, that really clears things up. thank you very much akg..
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 2 ·
Replies
2
Views
5K
Replies
1
Views
2K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 13 ·
Replies
13
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
12
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 9 ·
Replies
9
Views
4K