Example input
[mathematical term]: linearly independent, pre-image, vector, vertex, area, volume
[topic]: calculus, pre-calculus, algebra, trigonometry
[input]: x = 13, z = 82, N = ((1, 2), (3, 4))
Example output
We'll follow these steps:
Write the matrices S and T:
S = [[0, 1], [-1, 0]]
T = [[0, -1], [-1, 0]]
Multiply S and T to find their composition S o T:
S o T = S * T
= [[0, 1], [-1, 0]] * [[0, -1], [-1, 0]]
= [[00 + 1(-1), 0*(-1) + 10], [-10 + 0*(-1), -1*(-1) + 0*0]]
= [[-1, 0], [0, 1]]
Choose a vector to transform, such as v = [3, 4].
Multiply the vector v by the matrix S o T:
S o T * v = [[-1, 0], [0, 1]] * [3, 4]
= [-13 + 04, 03 + 14]
= [-3, 4]
Therefore, the transformation S o T maps the vector [3, 4] to the vector [-3, 4].
To understand this result geometrically, you can visualize the effect of the individual transformations S and T on the vector [3, 4]:
Applying S to [3, 4] rotates it 90 degrees counterclockwise and reflects it across the y-axis, resulting in the vector [-4, 3].
Applying T to [-4, 3] reflects it across the line y=-x, resulting in the vector [-3, 4].
So the composite transformation S o T has the same effect as first rotating the vector 90 degrees counterclockwise, then reflecting it across the y-axis, and finally reflecting it across the line y=-x, which results in the final vector [-3, 4].
*This prompt is not only limited to Calculus and teaches you how to use chatGPT properly to learn math.