Prove that the matrices have the same rank.

In summary, to prove that the three matrices have the same rank, we can perform elimination on each one and show that they all result in the same number of nonzero rows, which is equal to the rank of matrix A. This can be done by expressing the reduced forms of the matrices in terms of R, which is equivalent to A, and referring to the number of nonzero rows in R.
  • #1
Dafe
145
0

Homework Statement


Prove that the three matrices have the same rank.


[tex]

\left[
\begin{array}{c}
A\\
\end{array}
\right]

[/tex]

[tex]

\left[
\begin{array}{c}
A & A\\
\end{array}
\right]

[/tex]

[tex]

\left[
\begin{array}{cc}
A & A\\
A & A\\
\end{array}
\right]

[/tex]

Homework Equations





The Attempt at a Solution



If elimination is done on the second matrix it will become:
[tex]

\left[
\begin{array}{c}
A & 0\\
\end{array}
\right]

[/tex]

This means that the rank is still the same as A.

Elimination on the third matrix gives:
[tex]

\left[
\begin{array}{cc}
A & A\\
0 & 0\\
\end{array}
\right]

[/tex]

Since no new independent vectors are added, it also has rank A.

I do understand that this is so, but could someone please help me explain this mathematically?

Thanks.
 
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  • #2
About the only thing different I would say is to suppose that when
[tex]
\left[
\begin{array}{c}
A\\
\end{array}
\right]
[/tex]
is reduced you obtain
[tex]
\left[
\begin{array}{c}
R\\
\end{array}
\right]
[/tex]


Then express your reduced forms of the other two matrices in terms of R instead of A. Refer to the number of nonzero rows in R, and you are done.
 
  • #3
Hi Billy Bob, thanks for the reply.
Here's the way I think you would do it: (just showing one matrix)

[tex]

\left[
\begin{array}{c}
A & A\\
\end{array}
\right]

[/tex]

[tex]

\left[
\begin{array}{c}
R & 0\\
\end{array}
\right]

[/tex]

# non zero rows = r for all matrices.
 

FAQ: Prove that the matrices have the same rank.

What is the definition of rank in matrices?

The rank of a matrix is the maximum number of linearly independent rows or columns in the matrix. It is a measure of the dimensionality of the vector space spanned by the rows or columns of the matrix.

How do you determine the rank of a matrix?

The rank of a matrix can be determined by performing row or column operations to reduce the matrix to its echelon form. The number of non-zero rows or columns in the echelon form is equal to the rank of the original matrix.

Can two matrices have the same rank?

Yes, two matrices can have the same rank. If the two matrices have the same number of linearly independent rows or columns, then they will have the same rank.

How do you prove that two matrices have the same rank?

To prove that two matrices have the same rank, you can use the row or column operations to reduce both matrices to their echelon forms. If the echelon forms have the same number of non-zero rows or columns, then the matrices have the same rank.

What is the significance of two matrices having the same rank?

If two matrices have the same rank, it means that they have the same dimensionality and span the same vector space. This can be useful in various applications such as solving systems of linear equations, finding inverses of matrices, and understanding the structure of a matrix.

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