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Instructions. Answer the following questions. Provide concise motivation of your approach. Illegible answers are not awarded any credit. Presentation of calculations without mention of the motivation and reasoning are not awarded any credit. Each correct question answer is awarded 2 course points.
Note. Solution briefly states motivation/approach and then concisely carries out required calculations.
1. Find the image of the standard basis vectors through the linear mapping defined by the composition , where:
is rotation around the axis by ;
is rotation around the axis by .
Solution. Denote by the standard matrices of mappings , respectively, such that
Since , .
Rotation around the axis by has standard matrix
Rotation around the axis by has standard matrix
Therefore,
Since , obtain .
2. Let denote the standard matrix of the linear mapping defined above. State bases for the four fundamental subspaces of .
Solution. Rotation of the orthonormal vectors by the same angle yields three orthonormal vectors . Verification
Since columns of are orthonormal, they are linearly independent, and . Any three linearly independent vectors form a basis for both column space and row space, for instance, . The null spaces are of dimension zero, and do not have a basis.
3. Determine an orthonormal basis for with defined above.
Solution. As noted above, is an orthonormal basis for . Another basis is .
4. Consider the vector . Find the coordinates of in the basis defined by the column vectors of defined above.
Solution. In the basis the coordinates of are 1,1,1. In the basis, the coordinates are
5. Compute the inverse of the matrix
Solution. Check if the matrix has orthogonal columns. Computing
confirming that columns of are orthonormal, hence .