Consider the rotation T of space with T ( 0 , 0 , 0 ) = ( 0 , 0 , 0 ) , T ( 6 , 6 , 3 ) = ( 4 , − 1 , 8 ) and T ( − 6 , 3 , 6 ) = ( 4 , 8 , − 1 ) . If T ( 3 , 9 , 1 2 ) = ( a , b , c ) , find a + b + c .
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Very impressive! (+1) I will post a solution in terms of linear algebra when I get around to it.
May I ask: What did you find for T ( 3 , 9 , 1 2 ) ?
Haben Sie ein recht schönes Wochenende!
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(7, 8, 11) Ebenso noch ein schönes (Rest-) Wochenende verbunden mit einem lieben Gruß.
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The weekend is still young here...it's Saturday High Noon at the US East Coast.
Since the rotation T preserves length, angles and orientation, we have the equation T ( v × w ) = T ( v ) × T ( w ) for the cross product of any two vectors v and w . For the two given vectors v = ( 6 , 6 , 3 ) and w = ( − 6 , 3 , 6 ) we find T ( 2 7 , − 5 4 , 5 4 ) = ( − 6 3 , 3 6 , 3 6 ) or, scaled down, T ( 3 , − 6 , 6 ) = ( − 7 , 4 , 4 ) . Now ( 3 , 9 , 1 2 ) = 3 4 ( 6 , 6 , 3 ) + ( − 6 , 3 , 6 ) + 3 1 ( 3 , − 6 , 6 ) , so, by linearity, T ( 3 , 9 , 1 2 ) = 3 4 ( 4 , − 1 , 8 ) + ( 4 , 8 , − 1 ) + 3 1 ( − 7 , 4 , 4 ) = ( 7 , 8 , 1 1 ) . The answer is 2 6
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To determine the 9 elements of the rotation matrix I established an equations system (nonlinear) regarding first the transformation of the given vectors getting 6 equations. Further 6 conditions with respect to properties of the rotation matrix (orthogonality!) completed the set of equations.
A program solving this equations system delivered the matrix elements (ordered by rows):
Lösung im 2. Durchlauf nach 8 Iterationen gefunden: a = -0,259259259259 b = 0,962962962963 c = -0,074074074074 d = -0,518518518519 e = -0,074074074074 f = 0,851851851852 g = 0,814814814815 h = 0,259259259259 i = 0,518518518519
Last but not least the transformation of the interesting vector could be calculated resulting in the solution 26.