Equivalence relation demonstration - confirmation needed, please.

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SUMMARY

The discussion focuses on demonstrating that row equivalence is an equivalence relation in the context of linear algebra. The user successfully outlines the three necessary properties: reflexivity, symmetry, and transitivity, using augmented matrices. The definitions and proofs provided align with the standard understanding of row equivalence, confirming that if two augmented matrices have the same solution set, they are row equivalent. The user seeks confirmation on their approach, which is validated by other participants in the forum.

PREREQUISITES
  • Understanding of augmented matrices in linear algebra
  • Familiarity with the concepts of reflexivity, symmetry, and transitivity
  • Knowledge of Gaussian elimination and row operations
  • Basic comprehension of linear systems and their solutions
NEXT STEPS
  • Study the formal definitions of equivalence relations in mathematics
  • Explore advanced topics in linear algebra, such as matrix transformations
  • Learn about the implications of row equivalence in solving linear systems
  • Review proofs involving inverse notation and other advanced matrix concepts
USEFUL FOR

Students of linear algebra, educators teaching matrix theory, and anyone interested in the foundational concepts of equivalence relations in mathematics.

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Homework Statement



'Show that row equivalence is an equivalence relation'.

Homework Equations



The definition for 'row equivalence' given in the text is,

'two augmented matrices corresponding to linear systems that actually have solutions, are said to be (row) equivalent if they have the same solutions'.

The Attempt at a Solution



To show an equivalence relation, one must show reflexivity, symmetry and transitivity.

reflexivity:

any augmented matrix x clearly has the same solution set as itself.

symmetry:

Suppose that augmented matrices x and y are row equivalent. Then x and y have the same solution, by our definition. If x and y have the same solution, then y and x have the same solution, so y is also equivalent to x.

transitivity:

Suppose that we have augmented matrices x, y and z. And suppose that x is row equivalent to y, and y is row equivalent to z. Then, by definition, x and y have the same solution, and y and z have the same solution. Since x and y and z have the same solution, then x and z have the same solution. Therefore, x is row equivalent to z.

So my question is: did I do this correctly?

(NB: After doing this, I found a few proofs for this statement, which were rather elegant, but which involved inverse notation, or other notation which has not yet been presented in the book I'm going through. All that has been presented is row operations, Gaussian elim and the rather intuitive definition of row equivalence quoted above. I'm trying to 'show' the equivalence relation in terms of what I've been given so far. Thanks for any help!).
 
Last edited:
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Looks fine.

I suppose if you wanted to, you could be more formal about what it means to say that two systems have the same solutions.
 
vela,

thank you VERY MUCH.

I will re-write it,making the adjustment that you suggest.

thanks again!

have a great day.
 

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