Elementary Row Operations and Preserving Solutions.

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SUMMARY

The discussion focuses on Elementary Row Operations (EROs) in the context of linear equations, specifically how scaling, swapping, and adding rows preserve solutions in a system represented by the augmented matrix A. It is established that if x is a solution to Ax=b, then performing EROs results in a new matrix A' that maintains the same solution set. The inquiry raised is about the exclusivity of these three operations in preserving solutions, with a reference to regular matrices T that can also transform the system while retaining solutions.

PREREQUISITES
  • Understanding of linear algebra concepts, particularly systems of linear equations.
  • Familiarity with augmented matrices and their representation.
  • Knowledge of Elementary Row Operations (scaling, swapping, and adding rows).
  • Basic understanding of matrix transformations and regular matrices.
NEXT STEPS
  • Research the proof of why only the three EROs preserve solutions in linear systems.
  • Explore the implications of regular matrices in transforming systems of equations.
  • Study the relationship between EROs and matrix rank.
  • Learn about the applications of EROs in solving linear equations using tools like MATLAB or Python's NumPy.
USEFUL FOR

Students and educators in linear algebra, mathematicians interested in matrix theory, and anyone involved in computational mathematics or algorithm development for solving systems of equations.

Bacle
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Hi Again:

Just curious: I know that, given a system of linear equations,

ERO's (scaling both sides of an equation, exchanging/swapping rows

and adding a multiple of a row to another row) preserve solutions,

i.e., if x is a solution to Ax=b, then swapping rows will preserve

x as a solution, and no other solution will pop up, and same for other

two. More specifically, if given a system S, we use its associated

augmented matrix A, with x a solution to Ax=b and we swap rows

to get a matrix A', then A'x=b ; same for the other two Elementary Row

Ops.

This above is not so hard to show, but:

* question* how do we know it is precisely these three operations--

and no others--that preserve solutions?

Thanks.
 
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We have ##Ax=b##. Now given a regular matrix ##T## we can write ##A'=TAx=Tb=b'##and get a new system with the same solutions. This means any regular ##T## is allowed. By a step by step transformation this will be the matrices
$$
\begin{bmatrix}1&c\\0&1\end{bmatrix}\, , \,\begin{bmatrix}0&1\\1&0\end{bmatrix}\, , \,\begin{bmatrix}\frac{1}{c}&0\\0&1\end{bmatrix}
$$
expanded with the identity matrix elsewhere to match the dimensions.
 

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