Solve System of Equations via Gaussian Elimination

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Homework Help Overview

The discussion revolves around solving a system of equations represented by an augmented matrix using Gaussian elimination. Participants are exploring the conditions on the parameters a, b, and c that would allow for solutions to exist.

Discussion Character

  • Exploratory, Assumption checking

Approaches and Questions Raised

  • Participants are examining the implications of having a variable remaining in the last row of the reduced matrix and questioning whether this indicates the absence of solutions. There is also discussion about the general conditions under which solutions exist or do not exist, and how specific values of a, b, and c might affect solvability.

Discussion Status

Some participants are considering the conditions required for the system to have solutions, while others are reflecting on their classroom experiences with similar problems. There is a suggestion that solutions may always be obtainable regardless of the values of a, b, and c, as long as certain forms of the matrix are not present.

Contextual Notes

Participants note that typical problems encountered in class often result in a last row of zeros in the coefficient part of the augmented matrix, which influences their understanding of the conditions for solutions.

EvLer
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I am not sure how to solve this:
Given an augmented matrix, find conditions on a, b, c for which the system has solutions:
Code:
-1   -2   3    b
-1   -6   23   c
-3   2    4    a
so by Gaussian elimination, the matrix I ended up with is
Code:
1   2   -3   -b
0   4   -20  b-c
0   0   -35  (3b-a) + 2(b-c)
And now I am stuck, because there is still a variable left in the last row. Does that mean there are no such a, b, c for which the system has a solution?
Thanks in advance.
 
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EvLer said:
I am not sure how to solve this:

And now I am stuck, because there is still a variable left in the last row. Does that mean there are no such a, b, c for which the system has a solution?
Thanks in advance.

In general, when do you know there is a solution, and when do you know there is no solution?

Suppose you were given a particular a,b and c at random... would you be able to solve for x, y and z?
 
So, are you implying that the conditions I need on a, b, and c are such that
z = (3b - a + 2b - 2c)/ (-35) and so on?
The problems we have done in class were basically of the form such that the last row of coefficient part of the augm. matrix is all zeros without variables. So the conditions are only in terms of a, b, and c themselves.
 
EvLer said:
So, are you implying that the conditions I need on a, b, and c are such that
z = (3b - a + 2b - 2c)/ (-35) and so on?
The problems we have done in class were basically of the form such that the last row of coefficient part of the augm. matrix is all zeros without variables. So the conditions are only in terms of a, b, and c themselves.

The idea is that no matter what a,b,c are you can always get a solution. Like you showed above you can always solve for z, then for y then for x.

a, b and c can be any real number.

Another way to look at it is, after you reduce an augmented matrix to echelon form.. the only time you have no solution is if you have a row that is

0 0 0 | t

where t is non-zero. Any other time there is always a solution.

Since your matrix (reduced to echelon form) does not have a row like this (no matter what values a, b or c take) there is a solution for any a,b,c.

So a,b,c can be any real numbers.
 

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