Final answer:
Transformations applied to a unit square can be represented as matrices that perform scaling, shearing, and rotation, altering the coordinates to produce new vertices for the transformed square.
Step-by-step explanation:
Transformations of a unit square can be done with various matrices, each performing a different operation such as scaling, rotating, and shearing. The matrices corresponding to each requested transformation are:
- Scaling in x by 1.5: M₁ = [[1.5, 0], [0, 1]]
- Scaling in y by 0.75: M₂ = [[1, 0], [0, 0.75]]
- Shearing in x by 2: M₃ = [[1, 2], [0, 1]]
- Shearing in y by 1.25: M₄ = [[1, 0], [1.25, 1]]
- Counterclockwise rotation by π/4: M₅ = [[cos(π/4), -sin(π/4)], [sin(π/4), cos(π/4)]]
- Clockwise rotation by π/6: M₆ = [[cos(-π/6), -sin(-π/6)], [sin(-π/6), cos(-π/6)]]
Applying these matrices to the vertices of the square S yields new vertices A', B', C', and D' for each transformation. The equations showing the coordinates after rotation are given by x' = x cos q + y sin q and y' = -x sin q + y cos q, which represent the rotated position of any point (x,y) in the square S.