Matrices & Geometric Transformations

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The discussion revolves around understanding the relationship between the determinant of a transformation matrix and the area of a transformed geometric figure. The determinant, specifically det(RS), indicates how the area of a two-dimensional object changes when transformed by the matrix A. When a matrix is applied to the unit square, it transforms into a parallelogram, and the area of this parallelogram is determined by the absolute value of the determinant of the matrix. The area scale factor of the transformed figure is directly proportional to the determinant, which in this case is 2. This relationship highlights the significance of determinants in geometric transformations.
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Part c) I'm not quite sure what to do, I've found the det(U) is 2, but no idea what this actually shows to be honest, any help?
 
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What do you mean by det(U)? U isn't a matrix. It's a square.
 


The most direct thing to do is apply the two matrices to each of the vectors (0, 0), (1, 0), (0, 1), and (1, 1) to determine the new figure. Then find the area of that. There are also theorems relating the determinants of the transformation matrices to the area.
 


HallsofIvy said:
The most direct thing to do is apply the two matrices to each of the vectors (0, 0), (1, 0), (0, 1), and (1, 1) to determine the new figure. Then find the area of that. There are also theorems relating the determinants of the transformation matrices to the area.

Thank you, I've done that and got the right answer however in the solutions it simply states determinant of RS = 2, therefore area scale factor of U is 2, therefore image of U has area 2. I don't understand what the determinant has to do with it, could you explain please?


vela said:
What do you mean by det(U)? U isn't a matrix. It's a square.
I mean det(RS), my apologies, thanks.
 
Then clearly the author of your text expects you to know that the area of a two dimensional object, when it transformed by A, is multiplied by det(A).

If A= \begin{bmatrix}a & b \\ c & d\end{bmatrix} is applied to the vector (1, 0), we have, of course, (a, c) and if it is applied to the vector (0, 1), we have (b, d). That is, the square having (1, 0) and (0, 1) as sides (and so area 1), is transformed into the parallelogram having (a, c) and (b, d) as sides. And, of course, the area of that parallelogram is the length of the cross product of those two vectors (taking \vec{k} to be 0 to make it three dimensional). That cross product is
\left|\begin{array}{ccc}\vec{i} & \vec{j} & \vec{k} \\ a & c & 0 \\ b & d & 0 \end{array}\right|= (ad- bc)\vec{k} and has length ad- bc, the determinant of A.
 
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