Eigenvalues and Eigenvectors
... is the standard matrix of the linear transformation that rotates all vectors in 2 counterclockwise 90 about the origin. Since all vectors are rotated 90 , it is clear that there is no non–zero vector whose image (under this linear transformation) is a scalar multiple of itself. This is a simpl ...
... is the standard matrix of the linear transformation that rotates all vectors in 2 counterclockwise 90 about the origin. Since all vectors are rotated 90 , it is clear that there is no non–zero vector whose image (under this linear transformation) is a scalar multiple of itself. This is a simpl ...
Matrix Operations
... The diagonal entries of A are 2 and 4, but A is not square; B is a square matrix of size 2 × 2 with diagonal entries 3 and 5; C is a diagonal matrix; D is 3 × 3 identity matrix. The n × n identity matrix is denoted by In (or simply I if its size is understood). We can view matrices as generalization ...
... The diagonal entries of A are 2 and 4, but A is not square; B is a square matrix of size 2 × 2 with diagonal entries 3 and 5; C is a diagonal matrix; D is 3 × 3 identity matrix. The n × n identity matrix is denoted by In (or simply I if its size is understood). We can view matrices as generalization ...
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