This week, we learned how vectors and matrices are connected.
We also learned how matrices are used to manipulate space and how to solve
problems with matrix operations. We also created and combined matrix
transformations.
Unfortunately, I did not have very much time to work on the
lab because I went out of town and only had my laptop which is horrible. In the
future, I think I’ll only go out of town on holidays and everyone else is going
to have to deal with the fact that I have school, which is a priority and doing
construction work all weekend on a condo I have no equity in is not really my
priority.
A matrix describes the relationship between 2 coordinate
spaces. It is a rectangular grid of numbers arranged into rows and columns
defined in rows first then columns. A matrix may have 1 row or 1 column and are
called row vectors and column vectors. A transposed matrix is where the column
and rows are flipped. A diagonal matrix is equal to its transpose matrix. A
scalar is a regular number and you just multiply the scalar by every element in
the matrix. When you multiply two matrices, the columns in A must be the same
amount of rows in B, if not it is not defined.
Rotation is about a point in 2D or about the origin based on
the angle value. Scale is used to make matrices larger or smaller b a factor of
k. There is uniform and nonuniform scale. In uniform scale, it dilates about
the origin and preserves angles and proportions, the lengths change by k units,
areas change by k squared, and volumes by k cubed. Nonuniform scale has
different scale factors. The absolute value of k is shorter when less than 0.
When k is 0, it has orthographic projection. Is reflected when k is negative
and scales (?) when k is positive. It scales along the x axis when applied
about the perpendicular axis. The basis vectors are independently affected by
scale vectors so one can make a big y and small x object. In reflection, it is
flipped about a line 2D or plane 3D. Shear is a transformation that skews the
coordinate space, stretching nonuniformly. The angles are not preserved, but
the areas and volumes are preserved.
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