Vector Placing in Transformation Matrix: Rows vs. Columns Explained

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in previous question
i was tald that in the process of building the transformation matrix

i should have put the vectors of the new base as columns and not as rows

in what cases and in what formes i put them as rows??
in what cases and in what formes i put them as columns??
 
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transgalactic said:
in previous question
i was tald that in the process of building the transformation matrix

i should have put the vectors of the new base as columns and not as rows

in what cases and in what formes i put them as rows??
in what cases and in what formes i put them as columns??
Think about transposition...


regards

marco
 
Also, you can always check by applying the transformation matrix to one of your basis elements. If you want A to transform the vector v into the vector w, you can check that indeed
Av = w
and/or
A-1 w = v.

For example, if you write down a general matrix
A = \begin{pmatrix} a_{11} & a_{12} & \cdots \\ a_{21} & a_{22} & \cdots \\ \vdots & \ddots & \cdots \end{pmatrix}
you can apply it to the (old) basis vector
e_1 = \begin{pmatrix} 1 \\ 0 \\ 0 \\ \vdots \end{pmatrix}
and just do the multiplication explicitly. You will get a result expressed in the a_{ij} which will in fact be just a complete row or column from A. On the other hand, it should also be the new basis vector. So you can read off whether you need to put it in a column, or in a row.
 
can you give an actual example to this
and in simpler words

because i can't understand how this multiplication effects the desition to put the vectors by rows or by columns

using your multiplication i would get the first row of this matrix
now what??
 
He said: "Try both and see which gives what you want!"
 
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