Can you switch rows in a matrix without actually switching them?

In summary, if switching rows is not allowed, it is still possible to turn a regular matrix into the unit matrix by performing a series of row operations, such as adding and multiplying rows. This process may involve adding rows together, multiplying rows by a constant, and subtracting rows from each other.
  • #1
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Suppose you weren't allowed to switch rows, would it then always be possible to turn a regular matrix into the unit matrix or would the operation be needed in some cases?
 
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  • #2
no, you don't need it.

let's say we want to switch row j and row k. add row j to row k. then add the new row k back to row j.

now multiply row k by -1, and then add row j to row k again. you should now have what row j originally was in the k-th row (and twice the original row j + the original row k in the j-th row).

now subtract twice the current k-th row from the current j-th row. voila! rows j and k have been switched.

(there may be a shorter way to do this, don't know, don't care).
 

What is row reduced echelon form?

Row reduced echelon form is a type of matrix representation that is used to solve systems of linear equations. It is also known as reduced row echelon form or RREF. In this form, the matrix has a specific structure with leading 1's in each row, and all other elements in the same column are 0.

Why is row reduced echelon form important?

Row reduced echelon form is important because it simplifies and standardizes the process of solving systems of linear equations. It also makes it easier to identify the solutions to the system, whether it has no solution, a unique solution, or infinitely many solutions.

How is row reduced echelon form different from other matrix forms?

Row reduced echelon form is different from other matrix forms because it has specific requirements, such as leading 1's in each row and all other elements in the same column being 0. Other forms, like the reduced row form, do not have these strict requirements.

What are the steps to convert a matrix into row reduced echelon form?

The steps to convert a matrix into row reduced echelon form are:

  1. Choose a pivot element (usually the leftmost non-zero element) in the first row.
  2. Use elementary row operations to make all other elements in the same column 0.
  3. If there are any rows below the current row, repeat the process for the next row.
  4. Move to the next column and repeat the process until all columns have been processed.

How is row reduced echelon form used in real-world applications?

Row reduced echelon form has many real-world applications, such as solving systems of linear equations in engineering, economics, and physics. It is also used in computer graphics for 3D transformations and in machine learning for data analysis and prediction. Additionally, it is used in cryptography for encryption and decryption algorithms.

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