[m11 m12 m13]
[m21 m22 m23]
[m31 m32 m33]
[m11 m12 m13] is a row vector
[m21 m22 m23] is a row vector
[m31 m32 m33] is a row vector
and which of above are basis vectors in 3D space. i, j, k in standard form.
[m11 m12 m13] is a row vector and i
[m21 m22 m23] is a row vector and j
[m31 m32 m33] is a row vector and k
using linear transformation we can write a vector v like down below.
v = vx*i + vy*j + vz*k
if we apply some transform(matrix) into vector V and we can visualize it.
for instance we have
[1 0 0]
[0 1 0] == matrix A
[0 0 1]
it is an identity matrix and if we multiply vector v with matrix.
vA
we will get v because A is an identity matrix.
if matrix A is like down below.
[0.75 0.75 0]
[0 1 0]
[0 0 1]
vector v or shape of model will be scaled, shrink.
Using this representation, we can guess what the shape will look like when we apply some transformations. (Sorry! I'm not good at drawing)














