If two linear systems have the same solutions then the corresponding matrices are row equivalent

Question

Is the following statement true?

If two linear systems have the same solutions then 
the corresponding matrices are row equivalent

I attempted a simple example with the systems

5x + 2y = 23 
3x + 8y = 41 

and

2x + 3y = 18 
8x + 7y = 52

I was able to row reduce both of their augmented matrices into reduced row echelon form \begin{bmatrix}1&0\\0&1\end{bmatrix} Which I believe indicates row equivalence, however I don't know how I might prove the statement is true for all two same solution equivalent systems. From my research I believe the following Theorem is critical for my understanding of the question enter image description here

Answer 1

Try to reformulate your question with some equations

If $ A_1 x = b_1 $ and $ A_2 x = b_2 $ then $ A_1 $ is row equivalent to $ A_2 $.

Now, what does it mean for $A_1$ to be row equivalent to $ A_2 $? They have the same row space. Or, equivalently, there is a sequence of elementary row transformations that changes one matrix into the other.

Somehow, I think there is something missing in the question...

Answer 2

HINT.-Draw four straight lines concurring at a point $P = (x, y)$. This point is a solution of the system formed by two of these four lines. But also it is solution of the system formed by the other two lines which can be arbitrary respect of the two first ones. What can you deduce of this?