Proof for Angle Preserving Transformation: Eigenvalues Same Magnitude

In summary, an angle-preserving transformation's eigenvalues must have the same magnitude in the complex case, and this can be proven using the fact that it is orthogonally diagonalizable.
  • #1
brydustin
205
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Please read the italic part at the top of https://www.physicsforums.com/showthread.php?t=243852

Is it true if we generalize to the complex case that an angle preserving transformation's eigenvalues are all the same magnitude? Is there a simple proof for the real case? Obviously its not a sufficient condition, but it is a necessary condition (see the link). But what's the proof.

This is how far I can get:
If its angle preserving, then for x,y eigenvectors (λ_x, λ_y eigenvalues) we get

(λ_x)(λ_y)°/|λ_x||λ_y| = (λ_x)°(λ_y)/|λ_x||λ_y| = 1 where ° denotes the complex conjugate.
But I'm not sure where to go from here... is there a simple contradiction that can show itself?
 
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  • #2
...okay, no need for an explanation. I found a proof.
http://christianmarks.wordpress.com/2009/07/06/spivaks-botched-problem/
 
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  • #3
Hi there! Yes, it is true that for a complex angle-preserving transformation, the eigenvalues must have the same magnitude. This can be proven using the fact that an angle-preserving transformation is also orthogonally diagonalizable, meaning that it can be written as T = PDP^-1, where P is an orthogonal matrix and D is a diagonal matrix with the eigenvalues on the diagonal.

Since T is angle-preserving, we know that P must be a rotation matrix, which means that it preserves lengths and angles. This implies that P^-1 must also be a rotation matrix.

Now, let's consider the product P^-1DP. This is equivalent to multiplying a rotation matrix (P^-1) by a diagonal matrix (D), and then multiplying the result by another rotation matrix (P). Since rotations preserve lengths and angles, this product must also preserve lengths and angles.

But we know that the diagonal elements of D are the eigenvalues of T, and since the product P^-1DP preserves lengths and angles, this means that the eigenvalues must have the same magnitude.

I hope this helps! Let me know if you have any further questions.
 

Related to Proof for Angle Preserving Transformation: Eigenvalues Same Magnitude

What is an angle preserving transformation?

An angle preserving transformation is a type of mathematical transformation that preserves the angles between two vectors. This means that the angle between any two vectors before the transformation is the same as the angle between those same two vectors after the transformation.

What is a proof for angle preserving transformation?

A proof for angle preserving transformation is a mathematical demonstration that shows how the angles between two vectors are preserved under a specific transformation. This proof usually involves using properties of eigenvalues and eigenvectors.

How do eigenvalues relate to angle preserving transformations?

Eigenvalues are important in understanding angle preserving transformations because they represent the scaling factor of the transformation. In other words, they determine how much the vectors are stretched or compressed by the transformation, while still preserving the angle between them.

What does it mean for eigenvalues to have the same magnitude in an angle preserving transformation?

If the eigenvalues of a transformation have the same magnitude, it means that the transformation does not change the length of any vector, but only changes the direction. This is important for preserving the angles between vectors, as the length of the vectors does not affect the angle between them.

Are there any other conditions for a transformation to be angle preserving?

Yes, in addition to having eigenvalues with the same magnitude, a transformation must also have eigenvectors that are orthogonal (perpendicular) to each other. This ensures that the angle between any two vectors remains the same after the transformation.

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