Matrices & Geometric Transformations

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Homework Help Overview

The discussion revolves around matrices and their application in geometric transformations, specifically focusing on the relationship between determinants and area scaling factors in two-dimensional transformations.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the meaning of the determinant in the context of transformations, questioning its implications for area scaling. There are attempts to clarify the application of matrices to specific vectors and the resulting geometric figures.

Discussion Status

Some participants have provided insights into the relationship between determinants and area, suggesting that the area of a transformed shape is scaled by the determinant of the transformation matrix. However, there remains some confusion regarding the interpretation of the determinant and its application in the context of the problem.

Contextual Notes

There is a mention of a specific text that implies prior knowledge of the relationship between area and determinants, which may not be universally understood among participants. Additionally, there is a correction regarding the notation used for the determinant, indicating a potential source of misunderstanding.

synkk
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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 [tex]A= \begin{bmatrix}a & b \\ c & d\end{bmatrix}[/tex] 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 [itex]\vec{k}[/itex] to be 0 to make it three dimensional). That cross product is
[tex]\left|\begin{array}{ccc}\vec{i} & \vec{j} & \vec{k} \\ a & c & 0 \\ b & d & 0 \end{array}\right|= (ad- bc)\vec{k}[/tex] and has length ad- bc, the determinant of A.
 

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