Understanding Gaussian Elimination Matrices for Solving Linear Equations

Samuelb88
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Homework Statement


What is the Gaussian elimination matrix for the vector for the vector v=(2,-10,16,2)?


The Attempt at a Solution


I don't understand the question. What is a "Gaussian elimination matrix for a vector?" I know that Gaussian elimination is a method for solving a system of linear equations, but I'm not sure what is meant/how to find the Gaussian elimination matrix, given a vector. Can someone please explain this to me?

Thanks
 
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Samuelb88 said:

Homework Statement


What is the Gaussian elimination matrix for the vector for the vector v=(2,-10,16,2)?


The Attempt at a Solution


I don't understand the question. What is a "Gaussian elimination matrix for a vector?" I know that Gaussian elimination is a method for solving a system of linear equations, but I'm not sure what is meant/how to find the Gaussian elimination matrix, given a vector. Can someone please explain this to me?

Thanks

I'll take a stab at it, since no one else has replied.

\begin{bmatrix} 1 &amp; 0 &amp; 0 &amp; 0 &amp; | &amp; 2 \\<br /> 0 &amp; 1 &amp; 0 &amp; 0 &amp; | &amp; -10 \\<br /> 0 &amp; 0 &amp; 1 &amp; 0 &amp; | &amp; 16 \\<br /> 0 &amp; 0 &amp; 0 &amp; 1 &amp; | &amp; 2 \end{bmatrix}

What I'm showing here is a row-reduced augmented matrix that represents a system, for which the solution is the vector <2, -10, 16, 2>.
 
Samuelb88 said:

Homework Statement


What is the Gaussian elimination matrix for the vector for the vector v=(2,-10,16,2)?


The Attempt at a Solution


I don't understand the question. What is a "Gaussian elimination matrix for a vector?" I know that Gaussian elimination is a method for solving a system of linear equations, but I'm not sure what is meant/how to find the Gaussian elimination matrix, given a vector. Can someone please explain this to me?

Thanks

My guess would be that if you regard v as a _column_ vector they want you to determine the matrix E such that Ev becomes a simple unit vector, such as (1,0,0,0)^T,or maybe (2,0,0,0)^T. After all, that is how Gaussian elimination works: we determine linear combinations of rows such that a column is simplified; row operations = multiplication on the left by a matrix. (Or, maybe they want v to be a row vector, just as written, in which case they want a matrix E such that vE = something simple, like (2,0,0,0).)

RGV
 
Thanks for the replies guys but I've solved this problem. In case you were wondering, I needed to find a matrix such that the image of the vector (2,-10,16,2) is the vector (2,-10,16,0). Pretty simple, I was just confused as to what exactly a "gaussian elimination matrix" was. :smile:
 
Samuelb88 said:
In case you were wondering, I needed to find a matrix such that the image of the vector (2,-10,16,2) is the vector (2,-10,16,0).
This is this question you should have asked.
Samuelb88 said:
Pretty simple, I was just confused as to what exactly a "gaussian elimination matrix" was. :smile:
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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