COM1370 Sp03 Quiz 1 review - Prof. Futrelle

Quiz to be given on Wednesday 9 April - Closed book/notes


Here are excerpts from a guide for a former Midterm which applies quite well to our first quiz:

1. Trigonometry basics: Be able to plot sine and cosine reasonably accurately from -2π to +2π. Know conversions between radians and degrees for 45°, 90°, etc. Know the values of the sine and cosine of the most common angles, including π/4 and by extension, angles such as 5π/4.

2. 2x2 transformations: Be able to correctly write out a rotation matrix and scaling matrix.

3. Computations with 2D vectors and 2x2 matrices: Be able to add vectors, multiply matrices together, in the correct order, and transform vectors with matrices. All these computations are to be done manually with numerical answers. Items such as sqrt(2)can be kept in that form.

4. Homogeneous coordinates. Be able to write down a scaling, rotation or translation matrix in 3x3 homogeneous coordinate form for 2D.

5. Compound matrix manipulations using homogeneous coordinates. Be able to show various relations and identities, such matrix multiplication that shows that a translation of -10,20 is the inverse of 10,-20.

6. Transformations that produce a given effect. Given two different positions and orientations of an object, figure out what simple matrix or simple product of matrices will produce one from the other.


Here's a question from a previous year: This question involves only 2x2 matrices, not ones using homogeneous coordinates.

  1. Plot, approximately, the sine and cosine function in the region from -π to +π.
  2. Using the values you demonstrated in (a) write out the rotation matrix, R(π/2) in numerical form.
  3. Assume you are given a line with x,y endpoints 10,0 and 10,5. Compute the values of the endpoints after rotation by the matrix in (b). Draw, approximately, the original line and the rotated line. Is this what you expected?
  4. Write out the rotation matrix R(-π/2). Then show, by matrix multiplication, that the matrix product R(π/2)•R(-π/2) equals the unit matrix.

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