Orthogonal Transformations with Eigenvalue 1

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Homework Help Overview

The discussion revolves around proving that an orthogonal transformation T in Rm has 1 as an eigenvalue if the determinant of T equals 1 and m is odd. The original poster also questions the implications when m is even.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants explore the structure of Rm as a direct sum of irreducible invariant subspaces and discuss the implications of the dimensions of these subspaces on the eigenvalues of T. There are questions about how the determinant relates to the eigenvalues and the dimensions of the subspaces.

Discussion Status

Participants are actively engaging with the problem, raising questions about the relationship between the determinant of T and its action on the irreducible subspaces. Some guidance has been offered regarding the determinant's properties, and there is a productive exploration of the implications of having an odd number of dimension-1 subspaces.

Contextual Notes

There is an ongoing discussion about the nature of determinants in relation to linear transformations and the constraints imposed by the dimensions of the subspaces involved. The participants are considering the implications of the determinant being 1 and the characteristics of the eigenvalues in different dimensional contexts.

e(ho0n3
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Homework Statement
Prove that an orthogonal transformation T in Rm has 1 as an eigenvalue if the determinant of T equals 1 and m is odd. What can you say if m is even?

The attempt at a solution
I know that I can write Rm as the direct sum of irreducible invariant subspaces W1, W2, ..., Ws which are mutually orthogonal and have dimension 1 or 2. They can't all have dimension 2 for otherwise m would be even. Thus, there is at least one with dimension 1, say W1. For any nonzero w in W1, T(w) = w or T(w) = -w. In the former case, we're done. The latter case is giving me problems though. If T has -1 as an eigenvalue, I imagine that the determinant of T will not be 1 anymore (since I haven't used this fact), but I don't understand how. Any tips?

Oh, and if m is even I imagine that T may not necessarily have eigenvalues since it's minimal polynomial may be multiples of powers of irreducible quadratics.
 
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e(ho0n3 said:
Prove that an orthogonal transformation T in Rm has 1 as an eigenvalue if the determinant of T equals 1 and m is odd. What can you say if m is even?

I know that I can write Rm as the direct sum of irreducible invariant subspaces W1, W2, ..., Ws which are mutually orthogonal and have dimension 1 or 2. They can't all have dimension 2 for otherwise m would be even. Thus, there is at least one with dimension 1, say W1.…. Any tips?

Hi e(ho0n3! :smile:

Hint: you haven't yet use the fact that the determinant is the product of the individual determinants. :wink:
 
And where would I use that fact exactly? I'm not calculating the determinant of a product as far as I know.
 
e(ho0n3 said:
And where would I use that fact exactly? I'm not calculating the determinant of a product as far as I know.

Perhaps I'm misunderstanding the problem …

but what can you say about the determinant of one irreducible subspace? :smile:
 
tiny-tim said:
Perhaps I'm misunderstanding the problem …

but what can you say about the determinant of one irreducible subspace? :smile:
Nothing. Determinants are defined for matrices and linear transformations, not subspaces. Hmm...but now you've made me think of the following:

Since we're told that the determinant of T is 1, does that mean the determinant of the restriction of T to each irreducible subspace is 1 as well? I know that for an irreducible subspace of dimension 2, T has determinant equal to 1. For an irreducible subspace of dimension 1, then it could be 1 or -1 depending on the eigenvalue of T on this subspace. Right?
 
e(ho0n3 said:
I know that for an irreducible subspace of dimension 2, T has determinant equal to 1

Exactly! :smile:

And there's an odd number of dimension-1 subspaces, so … ? :wink:
 
So, if the determinant of T on each of the dimension-1 subspaces is -1, then the determinant of T on the direct sum of these one-dimensional subspaces is -1, right? (And also analogously for the two-dimensional subspaces.) Let's write Rm = U + V where U is the direct sum of the one-dimensional subspaces and V is the direct sum of the two-dimensional subspaces. Since the determinant of T on U is -1 and the determinant of T on V is 1, does that mean the determinant of T on U + V is -1?
 
e(ho0n3 said:
… Since the determinant of T on U is -1 and the determinant of T on V is 1, does that mean the determinant of T on U + V is -1?

Yes …

so how many of the individual 1-dimensional subspaces can have negative determinant? :smile:
 
An even number of them. So we have at least one 1-dimensional subspace where T has determinant 1 and so T has eigenvalue 1. Right?
 
  • #10
:biggrin: Woohoo! :biggrin:
 
  • #11
Thanks a lot for your help.
 

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