# 184: Matrix Transform

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## Revision as of 20:53, 12 February 2013

Matrix Transformation |

Title text: In fact, draw all your rotational matrices sideways. Your professors will love it! And then they'll go home and shrink. |

## Explanation

A rotational matrix transformation (i.e. the big brackets with a few "cos" and "sin" in them) is used in computer graphics to rotate an image. The product of the transform matrix and the argument vector (a1, a2) is a rotated version of the argument vector. Here, the joke is that the author turned the image of the vector rather than writing the correct answer. Rotational matrix transformations are a special case of the general linear matrix transform, which can do other things to images, including shrinking them. However, turning the rotational matrix sideways does not make it a shrinking matrix.

## Transcript

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# Discussion

This baby needs a bit more rigor. --Quicksilver (talk) 05:23, 24 August 2013 (UTC) 173.245.62.84 07:54, 7 April 2014 (UTC) I think this is also a reference to the movie "The Matrix", specifically the now famous scene where Neo does 90degree back bending to dodge bullets. 173.245.62.84 07:54, 7 April 2014 (UTC)

Maybe another reference: They'll go home (translation matrix) and shrink (scale matrix). Translation, scale and rotate are probably the most popular linear transformations.

108.162.218.89 23:39, 14 May 2014 (UTC)