Angle preserving linear transformations

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Angle preserving linear transformations in R^n maintain the angle between non-zero vectors x and y, defined by the formula arccos(x·y/(|x||y|)). Such transformations, denoted as T, must be one-to-one and satisfy the condition <(Tx, Ty) = <(x, y). While the inquiry touches on eigenvalues, the core focus is on the geometric interpretation of these transformations. Visualizing these concepts in two and three dimensions can aid in understanding their properties. Ultimately, grasping the geometry of angle preservation is essential for comprehending the nature of these transformations.
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If x,y of R^n (as a normed vector space) are non-zero, the angle between x and y, denoted
<(x,y), is defined as arccos x.y/(|x||y|).
The linear transformation T :R^n----->R^n
is angle preserving if T is 1-1, and for x,y of R^n (x,y are non zero) we have
<(Tx,Ty) = <(x,y).

what are all angle preserving transformations T :R^N---->R^N ?

I guess that this quastion is connected with eigenvalues of T.please help me!
 
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The question is not (really) about eigenvalues. It is about geometry. You need to visualize what angle preserving means. Start with the plane, and R^3 (since it is not possible to visualize higher dimensions really - you must do it by analogy).
 
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