Orthogonal transformation problem

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Lunat1c
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Homework Statement



Lets say I fix 3 mutually orthogonal unit vectors i, j and k. Consider an orthogonal transformation F of vectors defined by [tex]F(a_1i+ a_2j + a_3k)=a_1'i+a_2'k+a_3'k[/tex] where

[tex]\left( \begin{array}{ccc} a_1 \\ a_2 \\ a_3\end{array}\right) = A\left( \begin{array}{ccc} a_1' \\ a_2' \\ a_3'\end{array}\right)[/tex] for a fixed orthogonal matrix A.

How can I show that F(v).F(w)=v.w?

I tried to do this by letting

[tex]v = \left( \begin{array}{ccc} a_1 \\ a_2 \\ a_3\end{array}\right), w= \left( \begin{array}{ccc} a_1' \\ a_2' \\ a_3'\end{array}\right)[/tex]

but the fact that I don't know A is holding me back from doing this, so I think there must be some other approach.

Any help would be much appreciated
 
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I wouldn't use [tex]w=\begin{pmatrix} a_1' \\ a_2' \\ a_3'\end{pmatrix}[/tex] if I were you, since it is not a general vector, it is related to [tex]v=\begin{pmatrix} a_1 \\ a_2 \\ a_3\end{pmatrix}[/tex] by [itex]v=Aw[/itex]. Instead, you want to use a general vector like [tex]w=\begin{pmatrix} b_1 \\ b_2 \\ b_3\end{pmatrix}[/tex].

What is [itex]v\cdot w=v^Tw[/itex] if [itex]v=Av'[/itex] and [tex]w=Aw'[/itex]? What is [itex]A^TA[/itex] for an orthogonal matrix?[/tex]
 


gabbagabbahey said:
I wouldn't use [tex]w=\begin{pmatrix} a_1' \\ a_2' \\ a_3'\end{pmatrix}[/tex] if I were you, since it is not a general vector, it is related to [tex]v=\begin{pmatrix} a_1 \\ a_2 \\ a_3\end{pmatrix}[/tex] by [itex]v=Aw[/itex]. Instead, you want to use a general vector like [tex]w=\begin{pmatrix} b_1 \\ b_2 \\ b_3\end{pmatrix}[/tex].

What is [itex]v\cdot w=v^Tw[/itex] if [itex]v=Av'[/itex] and [tex]w=Aw'[/itex]? What is [itex]A^TA[/itex] for an orthogonal matrix?[/tex]
[tex] <br /> Ok, so I'll name my vectors differently. However how did you get [itex]v\cdot w=v^Tw[/itex] ?<br /> <br /> Also, in reply to your question [itex]A^TA=I[/itex][/tex]
 


[tex]v\cdot w=v^Tw[/tex]
this is just a dot product written in matrix notation, the transpose comes about as to satisy matrix multiplication, you must multiply a 1xn matrix (row vector) with a nx1 matrix (column vetcor)