Using linear algebra to find a number of independent equations

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Discussion Overview

The discussion revolves around the method of determining the number of independent equations in a set using matrix techniques, specifically focusing on linear equations and their representation in matrix form.

Discussion Character

  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant asks how to find the number of independent equations in a set using matrix techniques.
  • Another participant inquires whether the equations are linear or non-linear, establishing the context for the discussion.
  • A participant suggests setting up the matrix equation Ax = b, where the rows of A represent the coefficients of the equations.
  • It is proposed that finding the row-reduced echelon form of the matrix will help determine the number of independent equations.
  • An example is provided with specific equations, leading to the assertion that there are two linearly independent equations among them.
  • The concept of matrix rank is introduced, with the claim that the number of independent equations corresponds to the rank of the matrix.

Areas of Agreement / Disagreement

Participants appear to agree on the method of using matrix techniques to find independent equations, but there is no explicit consensus on the rank of the example matrix as it remains unconfirmed by all participants.

Contextual Notes

The discussion does not address potential limitations or assumptions regarding the specific forms of the equations or the methods used to compute the rank.

member 392791
Hello,

How am I to find then number of independent equations in a set using matrix techniques?

Thanks
 
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Hey Woopydalan.

Are the equations linear or non-linear?
 
linear
 
Set up the matrix Ax = b where the rows of A contain the coefficients of each component (x0, x1, x2, etc) for a specific equation (row 1 = equation 1, row 2 = equation 2, etc).

Once you do that, find the row-reduced echelon form of the matrix to answer your question.

You can do this in MATLAB or Octave by using the rref command.
 
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I'll do an example. Suppose we have the equations

x+y+z = 0
2x+2y+2z = 0
3x+3y+3z = 0
x+z = 0

Hopefully it's clear that there are two linearly independent equations here. We can write this in matrix form as
[tex]\left( \begin{array}{ccc}<br /> 1 & 1 & 1 \\<br /> 2 & 2 & 2 \\<br /> 3 & 3 & 3\\<br /> 1 & 0 & 1 \end{array} \right) \left( \begin{array}{c} x\\ y\\ z \end{array} \right) = \left( \begin{array}{c} 0 \\ 0\\ 0\\ 0 \end{array} \right)[/tex]
It should be clear that the number of independent equations is equal to the number of linearly independent rows of the matrix I wrote down - this is going to be true in general, where you can write your equations in matrix form, and then the number of linearly independent equations is equal to the number of linearly independent rows of the matrix. This number is called the rank of the matrix and there are a number of ways of computing it.
 
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Thank you ! So that means the rank of the matrix you wrote is 2?
 

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