Is it possable for Cramer's rule to fail?

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    Cramer's rule
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Discussion Overview

The discussion revolves around the conditions under which Cramer's rule may be considered to "fail" in the context of linear systems of equations. Participants explore scenarios involving unique solutions, infinitely many solutions, and no solutions, examining the implications of zero determinants in both the numerator and denominator of Cramer's rule.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants argue that if a linear system has a unique solution, Cramer's rule cannot fail, as the determinant of the coefficient matrix must be non-zero.
  • Others suggest that a zero determinant in the numerator can occur if the vector b is a linear combination of the columns of the matrix, which does not imply failure of Cramer's rule but indicates that the solution for that variable is zero.
  • One participant presents examples of systems with zero determinants that still have infinitely many solutions, questioning the application of Cramer's rule in such cases.
  • Another participant emphasizes that Cramer's rule fails when there is not a unique solution, reiterating the importance of the unique solution condition stated by the original poster.
  • Some participants note that Cramer's rule is of limited practical use compared to other methods for solving systems of equations, especially when uniqueness is not guaranteed.
  • A comparison is made between Cramer's rule and other mathematical theorems, suggesting that the failure of a method may reflect on the application rather than the method itself.

Areas of Agreement / Disagreement

Participants generally agree that Cramer's rule is applicable only under certain conditions, particularly the existence of a unique solution. However, there are competing views on what constitutes a "failure" of Cramer's rule, with some arguing that it can still provide useful information even when determinants are zero.

Contextual Notes

Some limitations are noted regarding the assumptions made about the uniqueness of solutions and the implications of zero determinants, which are not fully resolved in the discussion.

Who May Find This Useful

This discussion may be useful for students and educators in mathematics, particularly those interested in linear algebra and the application of Cramer's rule in solving systems of equations.

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In a linear system of equations where there is a solution, is it possible for Cramer's rule to fail? By fail, as in end up with a zero determinate on either the top or the bottom or both.
 
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Well let's look at would would lead to a zero determinate on either the top or the bottom.

Consider the equations : [tex]A \vec{x} = \vec{b}[/tex]. where A is a matrix and both x and b column vectors.

Referring to Cramers Rule, the determinate on the bottom is just the determinate of A. So if the equations do indeed have a unique solution then this cannot be zero.

As for the top however, yes it is definitely possible for this to be zero. All that this requires is that b be a linear combination of the remaining columns. But does this mean that Cramers rule has failed? Not at all. There is no problems in a fraction having a numerator of zero, it just means that the answer is zero (for the particular element of vector x under consideration).
 
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There is a little more to the possibilities of zeros in the numerator, denominator, or both. The easiest way to demonstrate this is with a [tex]2 \times 2[/tex] system, but the ideas are the same for larger systems.

First

[tex] \begin{align*}<br /> 2x + 3y & = 10 \\<br /> 10x + 15y & = 50<br /> \end{align*}[/tex]

Clearly this has infinitely many solutions. When you try to solve this with Cramer's rule every determinant is zero, even though the system has (infinitely many) solutions.

Now consider this slightly different system.

[tex] \begin{align*}<br /> 2x + 3y & = 10 \\<br /> 10x + 15y & = 51<br /> \end{align*}[/tex]

this system does not have any solutions, but the determinant of the coefficient matrix is zero once again, but neither of the determinants you would use in the numerator is zero
 
Statdad, when the OP stated "In a linear system of equations where there is a solution" I took that to mean that there is a unique solution to the equations. In this case then all that I said above is true. Clearly Cramers rule will fail if there is not a unique solution.
 
uart said:
Statdad, when the OP stated "In a linear system of equations where there is a solution" I took that to mean that there is a unique solution to the equations. In this case then all that I said above is true. Clearly Cramers rule will fail if there is not a unique solution.

You are correct - I missed his qualifying statement.
 
Faken to sumarize the important points of the above.

If the equations have just one solution then Cramers rule will not fail.

As statdad's examples correctly point out however, if Cramers rule does fail then you cannot assume that there are no solutions, as this will also happen in the case where there are multiple solutions.

The bottom line is that there much are better methods than Cramers rule, especially when dealing with sets of equations that don't necessarily have a unique solution.
 
"The bottom line is that there much are better methods than Cramers rule, especially when dealing with sets of equations that don't necessarily have a unique solution."

True - Cramer's rule is of interest primarily for historical and theoretical purposes.
I would say (regarding the items I posted) that I don't tell students that Cramer's rule has failed in situations like those: I refer to those results as flags about whether the system has infinitely many or zero solutions. Minor language, but it fits with the identification of infinitely many vs zero solutions from
* elimination
* substitution
* Gauss/jordan
algorithms.
 
Saying that Cramer's rule fails is like saying that the MVT fails because for f(x)=|x|, there's no point in (-1,1) with f'(0)=0. A theorem never fails, but people may fail if they don't pay attention to the hypotheses.
 
Wow, thank you everyone!

You gave me a very nice solid answer.

Your right, I apparently wasn't thinking when i said that the numerator could no be zero, it obviously can.
 

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