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## row operations performed on two matrices

if you perform row operations on a matrix A to convert it to the identity matrix and then use the same row operations and apply it to another matrix B, why is it that the end result of B^r does not depends on B's actual sequence

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What do you mean by B's actual sequence?

Recognitions:      Gold Member        Science  Advisor     Staff Emeritus  And, what do you mean by "B^r"?  Every row reduction is equivalent to an "elementary matrix"- the result of applying that row reduction to the identity matrix.  Applying a given row operation to a matrix is the same as multiplying the corresponding elementary matrix.  And applying row operations to A to reduce it the identity matrix means that the product of the corresponding elementary matrices is $A^{-1}$.  Applying those row operations to B gives $A^{-1}B$.    That means, in particular, that if you have the matrix equation Ax= B, and apply the the row operations that reduce A to the identity matrix to B, you get $x= A^{-1}B$, the solution to the equation.

## row operations performed on two matrices

When I say Bs actual sequence, I mean the numbers that compose that matrix such as a 3x3 matrix with the numbers 654,896,327 and when I say Br I mean performing the exact same row operations that you did on A and applying them to B in the same order and I want to know why it doesn't matter what the actual sequence of B is as long as you're performing the same row operations on it as you did with another matrix, A

I guess the short answer is that the result you get does depend on the entries of B in exactly the way that HallsofIvy explained.  What doesn't matter I guess is the exact sequence of steps you took to row reduce A.  As long as you do row operations that eventually reduce A to the identity, the result of all those row operations combines to be the same operation.  When you apply that operation on B, you'll always get the matrix A^(-1)B.

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