Identifying Inconsistent Systems of Linear Equations with Gaussian Elimination

AI Thread Summary
Inconsistent systems of linear equations can be identified during Gaussian Elimination when the row reduction process leads to a row that indicates a contradiction, such as 0 = c, where c is a non-zero constant. To create your own inconsistent sets, ensure that the equations represent parallel lines or planes that do not intersect, such as x + y = 1 and x + y = 2. During the elimination process, these equations will result in a row that shows inconsistency. Understanding pivoting and the lack of a solution is crucial when formulating these sets. Overall, recognizing the signs of inconsistency in Gaussian Elimination is key to mastering this topic.
Muzly
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Any help on this one would be greatly appreciated. Due to that I can't find much of a connection (due to lack of inconsistent set of linear equations), and the fact that I'm unable to explain it properly, can someone please help me?

Here's the question:

If a system of linear equations is inconsistent, and Gaussian Elimination is applied to the augmented matrix, what will occur during the row reduction process that will indicate the inconsistency? Explain briefly.

Thanks a bunch guys.
 
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You could always invent your own inconsistent sets of linear equations.
 
Where do I begin on that?

What should I take into account when creating my own inconsistent sets?
 
pivoting! lack of solution?
 
Muzly said:
Where do I begin on that?

What should I take into account when creating my own inconsistent sets?

For example:

x+y=1
x+y=2

Are these equations consistent? What do you get by Gauss elimination?

ehild
 
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