What is the result of multiplying two orthogonal matrices?
A). A diagonal matrix
B). A non-orthogonal matrix
C). An identity matrix
D). A reflection matrix
What does a rotation matrix for 90 degrees look like?
A). [[1, 0], [0, 1]]
B). [[0, -1], [1, 0]]
C). [[0, 1], [-1, 0]]
D). [[-1, 0], [0, -1]]
How does a negative determinant affect a transformation?
A). Inverts the transformation
B). Scales the transformation
C). Reflects the transformation
D). Rotates the transformation
Which matrix operation is used for rotation?
A). Addition
B). Subtraction
C). Multiplication
D). Division
Which matrix operation is used for scaling?
A). Addition
B). Subtraction
C). Multiplication
D). Division
What is the result of multiplying an object by the identity matrix?
A). It is rotated
B). It is scaled
C). It is translated
D). It remains unchanged
What does a translation matrix look like?
A). [[1, 0], [0, 1]]
B). [[0, 1], [1, 0]]
C). [[1, 0, tx], [0, 1, ty], [0, 0, 1]]
D). [[1, tx], [ty, 1]]
How do you combine transformation matrices for multiple operations?
A). Add them together
B). Multiply them in reverse order
C). Multiply them in the given order
D). Divide them
What does a scaling matrix look like?
A). [[1, 0], [0, 1]]
B). [[0, 1], [1, 0]]
C). [[s, 0], [0, s]]
D). [[0, s], [s, 0]]
Which matrix operation is used for mirroring?
A). Addition
B). Subtraction
C). Multiplication
D). Division