Matrices - finding a general solution.

In summary, the conversation discusses finding the general solution of a matrix that does not have an inverse. One method is using row reduction, while another is treating it as a system of equations. The general solution is (x, y, z) = (z, z, z) where z can be any number. Additionally, the conversation mentions a linear map from 3 space to 3 space and finding all vectors that map to 0, which is the line defined by x=y=z.
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Howdy,

I have been asked to find the general solution of the following matrix (pic attached).

The matrix does not have an inverse, so I am a bit confused guys. Cheers and thanks in advance!
 

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  • #2
Yes, it does not have an inverse- that's why you are asked for the general solution.

One way to do this is "row reduction". Set up the augmented matrix
[tex]\left [ \begin{array} {cccc}1 & 0& -1 & 0 \\0 & -2 & 2 & 0 \\-1 & 1 & 0 & 0 \end{array} \right ][/tex]
and row-reduce. Because the matrix does not have an inverse, the final row will be all zero's but you could solve for, say x and y in terms of z.

Or just treat it as a system of equations: x- z= 0, -2y- 2z= 0, -x+ y= 0.
The first and third just say x= z and y= x= z. The second is then automatically solved. The general solution is (x, y, z)= (z, z, z)where z can be any number.
 
  • #3
yiou are given a linear map from 3 space to 3 space and are asked to find all vectors that map to 0. obviously it is the line defined by x=y=z.
 

1. What are matrices and how are they used in finding a general solution?

Matrices are rectangular arrays of numbers or elements. They are used in solving systems of linear equations and finding the general solution by representing the coefficients and constants of the variables in the equations. The process involves manipulating the matrix using row operations to reduce it to an upper or lower triangular form, making it easier to solve for the variables.

2. Can matrices be used to find a general solution for any system of linear equations?

Yes, matrices can be used to find a general solution for any system of linear equations. This is because the process of manipulating the matrix using row operations is a systematic and effective way to solve for the variables in the equations.

3. Is there a specific method or algorithm for finding the general solution using matrices?

Yes, there are several methods and algorithms for finding the general solution using matrices. Some common techniques include Gaussian elimination, Gauss-Jordan elimination, and Cramer's rule. These methods involve different types of row operations and can be used depending on the complexity of the system of equations.

4. What is the importance of finding the general solution using matrices?

Finding the general solution using matrices allows for a systematic approach to solving systems of linear equations. It also provides a way to find all possible solutions for the variables in the equations, rather than just a specific solution. This can be useful in various fields such as physics, engineering, and economics.

5. Are there any limitations or restrictions when using matrices to find a general solution?

There are some limitations or restrictions when using matrices to find a general solution. One limitation is that the system of equations must be linear, meaning that the variables are only raised to the first power. Additionally, the number of equations must be equal to the number of variables in order to have a unique solution. If these conditions are not met, other methods may need to be used to find a solution.

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