Let A be the matrix: [1 2 0 3] [0 0 0 0] [0 0 1 2] Is A in RREF?

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In summary, RREF stands for "reduced row echelon form" and is a specific format for a matrix where the leading coefficient in each row is 1 and all other entries in the same column are 0. To determine if a matrix is in RREF, you must check for three conditions: non-zero rows before rows of all zeros, leading coefficient of 1 in each non-zero row, and leading coefficient to the right of the row above it. A matrix can be converted to RREF using elementary row operations, and it can have multiple RREF forms due to different ways of performing these operations. However, all RREF forms of a given matrix will have the same number of rows and columns, and the same leading coefficients
  • #1
AsymptoticCoder
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I've taken two upper division courses in linear algebra, and yet a trivial problem has arisen that I am having trouble answering! haha

Let A be the matrix:

[1 2 0 3]
[0 0 0 0]
[0 0 1 2]

Is A in RREF? I say yes, however, the majority of students whose papers I am grading say no. If they are correct, what is the reason?

TIA,
Ryan
 
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  • #2
the row of zeroes should be on the bottom.
 
  • #3


Yes, A is in RREF (reduced row echelon form). To be in RREF, a matrix must satisfy three conditions:

1. All leading entries (the first non-zero entry in each row) must be 1.
2. All entries above and below a leading entry must be 0.
3. The leading entry in each row must be to the right of the leading entry in the row above it.

In the given matrix A, the first row has a leading entry of 1, the second row has all entries equal to 0, and the third row has a leading entry of 1 to the right of the leading entry in the row above it. Therefore, A satisfies all three conditions and is in RREF.

It is possible that the majority of students are confused because the second row has all entries equal to 0, which may seem unusual. However, this does not violate any of the conditions for RREF. In fact, it is common for matrices to have all zero rows in RREF.

Overall, it is important to carefully check all three conditions to determine if a matrix is in RREF. It is also helpful to practice identifying matrices in RREF to become more familiar with the concept.
 

1. What is the meaning of RREF in matrix notation?

RREF stands for "reduced row echelon form," which is a specific format for a matrix in which the leading coefficient (first non-zero number) in each row is 1 and all other entries in the same column are 0. This form is useful for solving systems of linear equations and performing other operations on matrices.

2. How do you determine if a matrix is in RREF?

To determine if a matrix is in RREF, you must check for three conditions:

  • All non-zero rows must come before any rows of all zeros.
  • The leading coefficient in each non-zero row must be 1.
  • The leading coefficient of each non-zero row must be to the right of the leading coefficient of the row above it.

If a matrix meets all of these conditions, it is in RREF.

3. Is the matrix [1 2 0 3] [0 0 0 0] [0 0 1 2] in RREF?

Yes, the matrix is in RREF because it meets all of the conditions: the first row is non-zero, the leading coefficient in the first row is 1, and the leading coefficient in the third row (the only other non-zero row) is to the right of the leading coefficient in the first row.

4. How can I convert a matrix to RREF?

To convert a matrix to RREF, you can use elementary row operations such as multiplying a row by a non-zero constant, swapping rows, or adding a multiple of one row to another row. By performing these operations in a specific order, you can transform any matrix into RREF.

5. Can a matrix have multiple RREF forms?

Yes, a matrix can have multiple RREF forms. This is because there are multiple ways to perform elementary row operations that will result in the same RREF form. However, regardless of the method used, all RREF forms of a given matrix will have the same number of rows and columns, and will have the same leading coefficients in the same positions.

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