To determine the new positions of the vertices \( P \) and \( R \) after the rotation that moves vertex \( Q \) from \( Q(-4, -9) \) to \( Q'(-9, 4) \), we need to find the angle and direction of the rotation.
Step 1: Determine the Center of Rotation
- Calculate the vector from \( Q \) to \( Q' \): \[ Q' - Q = (-9 - (-4), 4 - (-9)) = (-9 + 4, 4 + 9) = (-5, 13) \]
Step 2: Finding the Rotation Angle and Center
For an easier analysis, we can look at differences in coordinates:
- The original coordinates of \( Q \) are \( (-4, -9) \).
- The new coordinates of \( Q' \) are \( (-9, 4) \).
The rotation from \( Q \) to \( Q' \) can be represented as moving the point \( Q \) around some center point by a specific angle, which we need to determine.
Finding the center of rotation: For this problem, let's assume the center of rotation is at the midpoint of segment \( QQ' \):
\[ \text{Midpoint} = \left( \frac{-4 + (-9)}{2}, \frac{-9 + 4}{2} \right) = \left( \frac{-13}{2}, \frac{-5}{2} \right) \]
However, since we can see both points \( Q \) and \( Q' \), it might also be helpful to find an angle using a coordinate rotation method.
Step 3: Calculate the Rotation Matrix
The transformation can be done using rotation about the origin followed by a translation, but for \( P \) and \( R \), we need to adjust their coordinates similarly.
Let’s calculate:
- Calculate the angle of rotation using the coordinates:
- From \( Q \) to \( Q' \), we see how many degrees we have rotated. The angle \( \theta \) can be derived from the ratios of changes in coordinates.
Step 4: Using the Rotation Transformation
In terms of rotation, we can apply a general 2D rotation function. The rotation around the origin for a point \( (x, y) \) through an angle \( \theta \) is given by: \[ \begin{pmatrix} x' \ y' \end{pmatrix}
\begin{pmatrix} \cos(\theta) & -\sin(\theta) \ \sin(\theta) & \cos(\theta) \end{pmatrix} \begin{pmatrix} x \ y \end{pmatrix} \]
Using the above transformation, we can deduce where \( P \) and \( R \) will land after the same rotation done to \( Q \).
Finding the New Position of \( P(-4, 0) \) and \( R(4, -4) \):
- Using the understanding of the rotation on \( Q \) to position \( Q' \):
If we compute the effect of a transformation for each of these points, we can see the outcome proportions will remain similar.
Final Computation:
Computing the other points would depend on how much rotation you’ve been derived analytically or through plotting.
- Calculate \( P \) transformation:
- Direction change should mimic the overall proportion change observed.
- Calculate \( R \) transformation:
- Again, use symmetry of the operations derived from the above computed angles.
Conclusion:
Ultimately, we arrive at the coordinates for \( P' \) and \( R' \) derived from doing multiplications and transformations through each point with approximated angles.
Since establishing the rotations directly might vary by provided method and calculating through linear transforms will yield similar outputs. A verified angle in practical rotation will reveal:
\[ P' = (x_1', y_1'), \quad R' = (x_2', y_2') \] Where those endpoints seek further geometric configure after setting the derived rotation across orchestrated cycle points on your computed angle \( \theta \).
To practice further clarify with a graphical view provides helpful clear reinforcement through precise visualization of setting alongside computational evidence through above-calculated orientations.