Understanding the Rank of a Matrix: Explained Simply

In summary, The conversation discusses a question about finding the rank of a matrix, specifically the leading number of ones in the matrix. It is clarified that the rank of a matrix is equal to the number of non-zero rows, and if two rows are identical, the rank would be 1 as they are not linearly independent.
  • #1
Taryn
63
0
Hey I am just wondering about this question... I have reduced it as much as I can and the second part of the question is asking about the rank of the matrix... which means the leading number of ones right?

SO if I had this matrix 2 5 0
0 2 1
0 0 0

Wat would be the leading ones and would the last row be classed as leading ones? If you can just giv a brief explanation that would be great! I understand wat I meant to be finding just am a lil unsure of the concept!

Would the rank be 2?
 
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  • #2
the matrix was meant to be

2 5 0
0 2 1
0 0 0

sorry if it doesn't look right in the above post!
 
  • #3
If [tex] A = \begin{bmatrix}
2 & 5 & 0 \\
0 & 2 & 1 \\
0 & 0 & 0 \\
\end{bmatrix}[/tex]

then the rank is 2. The rank is just the number of non-zero rows.
 
  • #4
ahhh that's easy! Thanks... also just wonderin if you had 2 rows that were identical then the rank would just be 1 right?
 
  • #5
yes, because they are not linearly independent
 

FAQ: Understanding the Rank of a Matrix: Explained Simply

What is the definition of a matrix rank of 2?

The rank of a matrix is the maximum number of linearly independent rows or columns in the matrix. A matrix rank of 2 means that there are two linearly independent rows or columns in the matrix.

How is the rank of a matrix of 2 determined?

The rank of a matrix can be determined by performing row operations on the matrix until it is in its reduced row echelon form. The number of non-zero rows in the reduced row echelon form will be the rank of the matrix.

Can a matrix of rank 2 have more than 2 rows or columns?

Yes, a matrix of rank 2 can have any number of rows or columns as long as there are only two linearly independent rows or columns in the matrix.

How does the rank of a matrix affect its invertibility?

A matrix of rank 2 is invertible, meaning it has an inverse matrix, if and only if the matrix is square and the two rows or columns that are linearly independent are not scalar multiples of each other. In other words, the matrix must have a non-zero determinant.

Is the rank of a matrix of 2 always unique?

No, the rank of a matrix of 2 is not always unique. If a matrix has more than one set of linearly independent rows or columns that can be chosen, the rank can vary. However, the maximum possible rank of a matrix of 2 is always 2.

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