What does a transformation matrix do?
A). Adds two matrices
B). Multiplies two matrices
C). Divides two matrices
D). Subtracts two matrices
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]]
What is the effect of a reflection matrix?
A). Scales the object
B). Moves the object
C). Rotates the object
D). Mirrors the object
Which matrix operation is used for mirroring?
A). Addition
B). Subtraction
C). Multiplication
D). Division
Which matrix operation is used for shearing?
A). Addition
B). Subtraction
C). Multiplication
D). Division
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]]
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
How does a negative determinant affect a transformation?
A). Inverts the transformation
B). Scales the transformation
C). Reflects the transformation
D). Rotates the transformation