What exactly are bases vectors

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I have watched 3 blue one brown Essence of Linear Algebra tutorials enter link description here. I want to ask one question. Let suppose we have a 3x4 transformation matrix as follows

A =

7    3    -9    8

6    2    -8    7

8    4     0    7

The basis of vector A are

{ (7,3,-9,8), (6, 2, -8, 7), (8, 4, 0, 7) }

And here is the vector which is to be transformed

B =

1    2     4    5

When we will multiply the matrix with vector it will take it from R4 --> R3. as

17   13    51

Please tell me, when we write the multiplication in terms of linear combination it is like that.

1 [ 7    6    8 ]  + 2 [ 3    2     4] + 4 [ -9   8    0 ] + 5 [ 8   7    7]

But as the video of 3blue one brown suggested for R2 --> R2 transformation.

a( transformed vector i ) +  b (transormed vector j) for vector to be transformed [a, b]

But in the case defined above it is streching its coloumns which are not vectors.

Please tell me the solution of this, or any wrong concept I have. Thanks

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The columns of the matrix are vectors too, though in this case in $\mathbb R^3$ (not $\mathbb R^4$ like the rows).

It is a fact that the image of a linear transformation is always the span of the $\mathbf{columns}$ of any matrix representing it.