Do Row Operations Maintain Equivalence in Matrix Subtraction?

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Discussion Overview

The discussion centers around the equivalence of matrices during subtraction when elementary row operations are applied. Participants explore whether performing row operations on one matrix before subtracting another matrix affects the equivalence of the resulting matrix compared to performing the subtraction first and then applying row operations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants propose that performing elementary row operations on a matrix A to produce A' maintains equivalence, meaning A' is not equal to A but retains the same row space properties.
  • Others argue that subtracting one matrix from another is not an elementary row operation, which complicates the question of equivalence after such operations.
  • A participant questions whether the equation (A' + B)' = (A + B)' holds true, suggesting that different row operations may lead to different results.
  • Another participant suggests testing with specific examples to clarify the validity of the claims being made about matrix equivalence.
  • One participant notes that the only case where the equivalence fails is when A equals B, leading to a zero matrix, but they express uncertainty about the nontrivial cases.
  • There is a discussion about the notation used for equivalence, with some preferring to use symbols to denote row equivalence explicitly.

Areas of Agreement / Disagreement

Participants do not reach a consensus on whether the equivalence holds after performing row operations and subtraction. Multiple competing views remain regarding the implications of row operations on matrix subtraction.

Contextual Notes

Participants express uncertainty about the conditions under which their claims hold, particularly regarding the specific operations performed and the definitions of equivalence used in their arguments.

MathewsMD
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If you have two arbitrary matrices, A and B, I was wondering if row operations can be performed in any order to produce the same results.

For example, you perform elementary row operations on A to produce A', then do A' - B, then also produce a new matrix through elementary row operations on this new matrix to produce a new matrix C.

Can matrix C still be obtained by doing A (not A') - B, and then performing row operations? By performing row operations, the matrix is still remained intact, correct? There's no distortion of the row space, right?
 
MathewsMD said:
If you have two arbitrary matrices, A and B, I was wondering if row operations can be performed in any order to produce the same results.
Let's limit the discussion to a single matrix A. You can do elementary row operations in any order. At each step along the way, the new matrix will be equivalent to the one you started with.
MathewsMD said:
For example, you perform elementary row operations on A to produce A', then do A' - B
Why? When you perform an elementary row operation on A, you get a new matrix A' that is equivalent to A, but not equal to it. Some of the entries in the new matrix are different from those in A.

The basic idea is that if Ax = 0, for instance, then A'x = 0 as well, even though A ##\neq## A'. Subtracting one matrix from another is not an elementary row operation, so I don't get the point of your question.
MathewsMD said:
, then also produce a new matrix through elementary row operations on this new matrix to produce a new matrix C.

Can matrix C still be obtained by doing A (not A') - B, and then performing row operations? By performing row operations, the matrix is still remained intact, correct? There's no distortion of the row space, right?
 
Mark44 said:
Let's limit the discussion to a single matrix A. You can do elementary row operations in any order. At each step along the way, the new matrix will be equivalent to the one you started with.
Why? When you perform an elementary row operation on A, you get a new matrix A' that is equivalent to A, but not equal to it. Some of the entries in the new matrix are different from those in A.

The basic idea is that if Ax = 0, for instance, then A'x = 0 as well, even though A ##\neq## A'. Subtracting one matrix from another is not an elementary row operation, so I don't get the point of your question.

Okay, thank you for the response. I was trying to get at the this question specifically: A' is a reduced form of A, then is (A' + B)' = (A + B)', where (A+B)' is some reduction of A+B. Does the above equation hold true? Note: the reductions on each matrix may involve completely different operations, there's just some kind of row operation being done.
 
MathewsMD said:
Okay, thank you for the response. I was trying to get at the this question specifically: A' is a reduced form of A, then is (A' + B)' = (A + B)', where (A+B)' is some reduction of A+B. Does the above equation hold true? Note: the reductions on each matrix may involve completely different operations, there's just some kind of row operation being done.
Why don't you try a couple of simple examples - say 2 x 2 matrices or 3 x 3 matrices?

What you wrote is, I think, garbled.
(A' + B)' = (A + B)'
Did you mean (A' + B') = (A + B)'?

Also, by "=" do you mean "is row equivalent to" or "equals"? A professor I had in a 400-level linear algebra class was always very careful to write ##\equiv## when he was doing row operations, a habit that I've followed ever since.
 
Mark44 said:
Why don't you try a couple of simple examples - say 2 x 2 matrices or 3 x 3 matrices?

What you wrote is, I think, garbled.

Did you mean (A' + B') = (A + B)'?

Also, by "=" do you mean "is row equivalent to" or "equals"? A professor I had in a 400-level linear algebra class was always very careful to write ##\equiv## when he was doing row operations, a habit that I've followed ever since.

Sorry, I meant "equals to." By " ' " I am just referring to any random sequence of elementary row operations (I am not sure if there is better notation). And the ' used for one matrix isn't necessarily the same exact sequence of row operations done on the other matrices.

The only case I can necessarily find where it is not true is when A = B, since then A - B = 0, and no row operations can be used to derive A' - B. I don't seem to be able to prove if it's true for the nontrivial case, though. It does seem to stand, though.
 
MathewsMD said:
The only case I can necessarily find where it is not true is when A = B, since then A - B = 0
Did you try it with a few specific examples, as I suggested? I don't think the statement is true at all.
MathewsMD said:
, and no row operations can be used to derive A' - B. I don't seem to be able to prove if it's true for the nontrivial case, though. It does seem to stand, though.
 

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