Can a Matrix be Written as a Linear Combination of Another Matrix's Columns?

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SUMMARY

The discussion centers on proving that the columns of matrix A, defined as A = EP, can be expressed as linear combinations of the columns of matrix E. The user successfully demonstrated that the first column of A can be represented as a linear combination of the columns of E using the equation [a; c] = p[e; g] + r[f; h]. The conversation highlights the importance of understanding matrix multiplication and linear combinations in linear algebra.

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brunette15
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So i have the following:
[a b; c d] = [e f ; g h] * [p q ; r s]

I have to show that the if the original matrices are written as A = EP then the columns of A are linear combinations of E.

I was able to prove [a;c] = p[e;g] + r[f;h] and the same for [b;d] but i don't know where to go from here :/

Any help would really be appreciated!
Thanks in advance!
 
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brunette15 said:
So i have the following:
[a b; c d] = [e f ; g h] * [p q ; r s]

I have to show that the if the original matrices are written as A = EP then the columns of A are linear combinations of E.

I was able to prove [a;c] = p[e;g] + r[f;h] and the same for [b;d] but i don't know where to go from here :/

Any help would really be appreciated!
Thanks in advance!

Hi again! (Wave)

Let's write out the right hand side:
$$\begin{pmatrix}e&f \\ g&h\end{pmatrix}
\begin{pmatrix}p&q \\ r&s\end{pmatrix}
=\begin{pmatrix}ep+fr&eq+fs \\ gp+hr&gq+hs\end{pmatrix}
$$
Taking a look at the first column, we can write it as:
$$p\begin{pmatrix}e \\ g\end{pmatrix} + r\begin{pmatrix}f \\ h\end{pmatrix}
$$
This is a linear combination of the columns of E! (Happy)
 
I like Serena said:
Hi again! (Wave)

Let's write out the right hand side:
$$\begin{pmatrix}e&f \\ g&h\end{pmatrix}
\begin{pmatrix}p&q \\ r&s\end{pmatrix}
=\begin{pmatrix}ep+fr&eq+fs \\ gp+hr&gq+hs\end{pmatrix}
$$
Taking a look at the first column, we can write it as:
$$p\begin{pmatrix}e \\ g\end{pmatrix} + r\begin{pmatrix}f \\ h\end{pmatrix}
$$
This is a linear combination of the columns of E! (Happy)

Thankyou so much!
 

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