Elementary Matrix: Gaussian Elimination Explained

In summary, an elementary matrix is a type of square matrix used in Gaussian elimination, a method for solving linear equations. Gaussian elimination works by transforming a matrix into upper triangular form using elementary row operations, making it easier to solve for variables. Elementary matrices are used to keep track of these operations, allowing for easy implementation on computers. The benefits of Gaussian elimination include guaranteeing a solution, efficiency, and scalability for larger systems.
  • #1
EvLer
458
0
Elementary matrix is constructed out of identity for gaussian elimination, it's easier to see it on an example:
if A =
1 2 3
4 5 6
7 8 9
and E
1 0 0
-4 1 0
0 0 1
then EA =
1 2 3
0 -3 -6
7 8 9

so now the problem asks how are rows of EM related to the rows of M if E is
1 1 1
0 0 0
where M is arbitrary any matrix.

thank you in advance.
 
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  • #2
I don't know if I understand you correctly

M will be 3x2 matrix and EM will 2x2 matrix where with a summation of the each row in M - a(11) summation of first row and a(12) of second row. Rest will be zero
 

1. What is an elementary matrix?

An elementary matrix is a specific type of square matrix that is used in Gaussian elimination, a method for solving linear equations. It is formed by performing a single elementary row operation on an identity matrix.

2. What is Gaussian elimination?

Gaussian elimination is a method for solving systems of linear equations by using a series of elementary row operations on a matrix. The goal of Gaussian elimination is to transform a matrix into an upper triangular form, making it easier to solve for the variables.

3. How does Gaussian elimination work?

Gaussian elimination works by using a series of elementary row operations to transform a matrix into an upper triangular form. These operations include swapping rows, multiplying a row by a constant, and adding a multiple of one row to another row. Once the matrix is in upper triangular form, the system of equations can be solved by back substitution.

4. What is the purpose of using elementary matrices in Gaussian elimination?

Elementary matrices are used in Gaussian elimination to keep track of the row operations that are performed on the original matrix. By multiplying the original matrix by the elementary matrices, the same row operations can be applied to the identity matrix, resulting in an upper triangular matrix.

5. What are the benefits of using Gaussian elimination for solving systems of linear equations?

Gaussian elimination is a systematic method for solving systems of linear equations that guarantees a solution if one exists. It is also more efficient than other methods, such as substitution or elimination, as it reduces the number of operations needed to solve the system. Additionally, Gaussian elimination allows for easy implementation on computers and can be extended to solve larger systems of equations.

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