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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?
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.
I mean det(RS), my apologies, thanks.vela said:What do you mean by det(U)? U isn't a matrix. It's a square.
Matrices are rectangular arrays of numbers that are used to represent linear transformations. In the context of geometric transformations, matrices are used to describe the transformations of points, lines, and shapes in 2D or 3D space. Each entry in the matrix represents a specific transformation, such as translation, rotation, or scaling.
A 2D matrix is a 3x3 array of numbers, while a 3D matrix is a 4x4 array of numbers. The extra row and column in a 3D matrix allows for translations in addition to rotations and scalings, which are possible with a 2D matrix. 3D matrices are used for transformations in 3D space, while 2D matrices are used for transformations in 2D space.
To perform a geometric transformation using matrices, you first need to represent the transformation as a matrix. Then, you can multiply the matrix by the coordinates of the points, lines, or shapes you want to transform. The resulting matrix will give you the new coordinates of the transformed object.
No, matrices are only used for linear transformations. Non-linear transformations, such as bending or twisting, require more complex mathematical tools such as calculus.
Matrices and geometric transformations are used in many real-world applications, including computer graphics, image processing, and robotics. They are also used in physics and engineering for modeling and simulating complex systems. Additionally, matrices are used in statistics and data analysis for data transformation and manipulation.