Reflection Matrices: Verifying Orthogonality and Finding a Unit Vector

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Homework Help Overview

The discussion revolves around verifying the orthogonality of a reflection matrix M(theta) and finding a unit vector n that defines the line fixed by the reflection. The context involves linear algebra concepts related to matrices and eigenvalues.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss verifying the orthogonality of the matrix by multiplying it with its transpose and explore how to find a unit vector for the line of reflection. There are suggestions to consider the direction of the line of reflection and the use of dot products and eigenvectors.

Discussion Status

The discussion is active, with participants exploring different approaches to finding the direction of the line of reflection and considering the properties of eigenvalues. There is no explicit consensus yet, but various lines of reasoning are being examined.

Contextual Notes

Participants note that the matrix is 2x2 and expect it to have two eigenvalues, which may influence their approach to the problem. There is also a mention of needing to determine a suitable constant c for the equation defining the line of reflection.

gomes.
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Verify that M(theta) is orthogonal, and find a unit vector n such that the line fixed by the reflection is given by the equation

n . x = c,

for a suitable constant c, which should also be determined.



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I did the verficiation part, by multiplying m(theta) by its transpose. But how do I do the 2nd part? (regarding the find a unit vector).

[PLAIN]http://img268.imageshack.us/img268/4686/123wrm.jpg
 
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how about starting by finding the direction of the line of reflection...

then using the info you find, think about the dot product

you could also consider the eigenvectors of the matrix as well...
 
thanks, how would i find the direction of the line of reflection?

the eigenvalue of the matrix is 1?
 
do you have any ideas how to do it, or have you tried anything ?

as its a 2x2 matrix I would expect it to have 2 eigenvalues...
 

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