LINEAR ALGEBRA: How to prove system has one unique solution

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SUMMARY

The discussion centers on proving that the given system of equations admits one unique solution using Gauss-Jordan elimination. The system is represented in matrix form with four equations involving variables \(a_1, a_2, a_3, a_4\) and constants \(b_1, b_2, b_3, b_4\). A participant expresses difficulty in completing the elimination process and emphasizes the need for a compatible system, defined by the conditions \(n - r = 0\) and \(p - r = 0\). Another participant points out that an assumption about the values of \(a_i\) is necessary for the proof to hold true.

PREREQUISITES
  • Understanding of Gauss-Jordan elimination
  • Familiarity with matrix representation of linear systems
  • Knowledge of rank and its implications in linear algebra
  • Concept of compatible systems in linear equations
NEXT STEPS
  • Study the properties of determinants in relation to unique solutions
  • Learn about conditions for a system of equations to be compatible
  • Explore advanced techniques in Gauss-Jordan elimination
  • Investigate the implications of polynomial interpolation in linear systems
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Students of linear algebra, educators teaching matrix theory, and anyone involved in solving systems of equations using elimination methods.

phyzz
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Homework Statement



Show that the system ∑ hereunder admits one unique solution

<br /> ∑ =<br /> \left[\begin{array}{cc}<br /> 1 &amp; a_{1} &amp; a_{1}{}^{2} &amp; a_{1}{}^{3} &amp; | &amp; b_{1}\\<br /> 1 &amp; a_{2} &amp; a_{2}{}^{2} &amp; a_{2}{}^{3} &amp; | &amp; b_{2}\\<br /> 1 &amp; a_{3} &amp; a_{3}{}^{2} &amp; a_{3}{}^{3} &amp; | &amp; b_{3}\\<br /> 1 &amp; a_{4} &amp; a_{4}{}^{2} &amp; a_{4}{}^{3} &amp; | &amp; b_{4}<br /> \end{array}\right]<br />

The Attempt at a Solution



I know I have to perform Gauss-Jordan elimination fully by pivoting on the diagonal and zeroing out both on top and bottom of the diagonal.
After just two steps I'm stuck. I came up with this:

<br /> ∑ ∼<br /> \left[\begin{array}{cc}<br /> 1 &amp; a_{1} &amp; a_{1}{}^{2} &amp; a_{1}{}^{3} &amp; | &amp; b_{1}\\<br /> 0 &amp; a_{2} - a_{1} &amp; a_{2}{}^{2} - a_{1}{}^{2} &amp; a_{2}{}^{3} - a_{1}{}^{3} &amp; | &amp; b_{2} - b_{1}\\<br /> 0 &amp; 0 &amp; - &amp; - &amp; | &amp; -\\<br /> 0 &amp; 0 &amp; - &amp; - &amp; | &amp; -<br /> \end{array}\right]<br />

I don't know how to continue to fill in the _ spaces as I don't know what operation zeroed out the values under the pivot.

I don't like dividing the pivots through just so they're of value 1 as to avoid working with fractions.

I know I'm looking for a compatible system (i.e. (n - r) = 0, n being #rows and r being the rank) that also gives 0 secondary unknowns (i.e. (p - r) = 0, p being #columns not including the RHS and r = rank).

Thank you very much!
 
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Why don't you calculate the determinant?
 
phyzz said:

Homework Statement



Show that the system ∑ hereunder admits one unique solution

<br /> ∑ =<br /> \left[\begin{array}{cc}<br /> 1 &amp; a_{1} &amp; a_{1}{}^{2} &amp; a_{1}{}^{3} &amp; | &amp; b_{1}\\<br /> 1 &amp; a_{2} &amp; a_{2}{}^{2} &amp; a_{2}{}^{3} &amp; | &amp; b_{2}\\<br /> 1 &amp; a_{3} &amp; a_{3}{}^{2} &amp; a_{3}{}^{3} &amp; | &amp; b_{3}\\<br /> 1 &amp; a_{4} &amp; a_{4}{}^{2} &amp; a_{4}{}^{3} &amp; | &amp; b_{4}<br /> \end{array}\right]<br />

The Attempt at a Solution



I know I have to perform Gauss-Jordan elimination fully by pivoting on the diagonal and zeroing out both on top and bottom of the diagonal.
After just two steps I'm stuck. I came up with this:

<br /> ∑ ∼<br /> \left[\begin{array}{cc}<br /> 1 &amp; a_{1} &amp; a_{1}{}^{2} &amp; a_{1}{}^{3} &amp; | &amp; b_{1}\\<br /> 0 &amp; a_{2} - a_{1} &amp; a_{2}{}^{2} - a_{1}{}^{2} &amp; a_{2}{}^{3} - a_{1}{}^{3} &amp; | &amp; b_{2} - b_{1}\\<br /> 0 &amp; 0 &amp; - &amp; - &amp; | &amp; -\\<br /> 0 &amp; 0 &amp; - &amp; - &amp; | &amp; -<br /> \end{array}\right]<br />

I don't know how to continue to fill in the _ spaces as I don't know what operation zeroed out the values under the pivot.

I don't like dividing the pivots through just so they're of value 1 as to avoid working with fractions.

I know I'm looking for a compatible system (i.e. (n - r) = 0, n being #rows and r being the rank) that also gives 0 secondary unknowns (i.e. (p - r) = 0, p being #columns not including the RHS and r = rank).

Thank you very much!

As stated the result is false; you need to assume something about the ai!

RGV
 

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