Undergrad Orthogonal transformations preserve length

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Orthogonal transformations, represented by orthogonal matrices, preserve the length of vectors, as demonstrated through the transformation of the vector (p,q) using the matrix Q. The magnitudes of the transformed components, pv1 and qv2, remain p and q respectively, due to the unit length of the column vectors of Q and their orthogonality. This leads to the conclusion that the overall magnitude of the transformed vector is still sqrt(p^2 + q^2), confirming that length is preserved. Additionally, the property of orthogonal matrices implies that their eigenvalues have a magnitude of 1, as shown by the relationship between the norm of a vector and its transformation. Thus, both the preservation of length and the eigenvalue property are inherent characteristics of orthogonal transformations.
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Let Q be an orthogonal matrix, and I want to transform (p,q), the magnitude of this vector is sqrt(p^2+q^2) using pythag. T((p,q))=pv1+qv_2 where v1 and v2 are the column vectors of Q. Since the column vectors of Q have magnitude of 1, this means pv1 has magnitude of p and qv2 has magnitude of q. v1 and v2 are also perpendicular, using the fact that ||a+b||^2=(a+b).(a+b)=a.(a+b)+b.(a+b)=a.a+a.b+b.a+b.b=a.a+0+0+b.b=||a|^2+||b||^2, so the magnitude of pv1+qv_2 is also sqrt(p^2+q^2). Hence length is preserved?

Also does this explain why orthogonal transformations have eigenvalues of magnitude of 1?
 
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By definition, an orthogonal matrix satisfies A^T = A^{-1}. An immediate consequence is that for any v,
\|Av\|^2 = (Av) \cdot (Av) = (Av)^T(Av) = v^TA^TAv = v^Tv = v \cdot v = \|v\|^2 so that \|Av\| = \|v\|. If v is an eigenvector with eigenvalue \lambda, then <br /> \|v\| = \|Av\| = |\lambda| \|v\| \quad\Rightarrow\quad |\lambda| = 1.
 
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