Using linear algebra to find a number of independent equations

In summary, to find the number of independent equations in a set using matrix techniques, you can set up a matrix where the rows contain the coefficients for each equation and find the row-reduced echelon form. The number of linearly independent rows in the matrix will give you the rank and the number of independent equations.
  • #1
member 392791
Hello,

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

Thanks
 
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  • #2
Hey Woopydalan.

Are the equations linear or non-linear?
 
  • #3
linear
 
  • #4
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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  • #5
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}
1 & 1 & 1 \\
2 & 2 & 2 \\
3 & 3 & 3\\
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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  • #6
Thank you ! So that means the rank of the matrix you wrote is 2?
 

1. What is linear algebra?

Linear algebra is a branch of mathematics that deals with linear equations and their representations in vector spaces. It involves the study of linear transformations, matrices, and systems of linear equations.

2. How can linear algebra be used to find independent equations?

Linear algebra can be used to find independent equations by representing a system of equations as a matrix and using Gaussian elimination or other methods to reduce the matrix to its row-echelon form. The number of non-zero rows in the row-echelon form of the matrix is equal to the number of independent equations in the system.

3. Why is it important to find independent equations?

Finding independent equations is important because it helps to determine the number of unique solutions to a system of linear equations. In other words, it tells us how many independent variables we need to find in order to solve the system.

4. Can linear algebra be used to solve systems of non-linear equations?

No, linear algebra can only be used to solve systems of linear equations. Non-linear equations involve terms with powers greater than one, making them non-linear in nature and not solvable using linear algebra methods.

5. What other applications does linear algebra have?

Linear algebra is a fundamental tool in many fields, such as physics, engineering, economics, and computer graphics. It is used to model and solve real-world problems involving linear relationships, such as optimization, data analysis, and image processing.

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