Rank of matrix without echelon formRank of a matrix when points are on the unit sphereMatrices - Understanding row echelon form and reduced echelon formIssue understanding the difference between reduced row echelon form on a coefficient matrix and on an augmented matrixRank in row echelon formDifferent representations of a matrix in reduced row echelon formIs it okay to determine pivot positions in a matrix in echelon form, not in reduced echelon form?Reduced row echelon form of matrix with trigonometric expressionsWhat is the use of reduced row echelon form (not a row echelon form)?How to put a matrix in Reduced Echelon FormFinding the rank of a matrix using gauss jordan method
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Rank of matrix without echelon form
Rank of a matrix when points are on the unit sphereMatrices - Understanding row echelon form and reduced echelon formIssue understanding the difference between reduced row echelon form on a coefficient matrix and on an augmented matrixRank in row echelon formDifferent representations of a matrix in reduced row echelon formIs it okay to determine pivot positions in a matrix in echelon form, not in reduced echelon form?Reduced row echelon form of matrix with trigonometric expressionsWhat is the use of reduced row echelon form (not a row echelon form)?How to put a matrix in Reduced Echelon FormFinding the rank of a matrix using gauss jordan method
$begingroup$
I need to compute the rank of the following matrix:
$$beginbmatrix
1 1 1 0 0 0 0 0 0\
0 0 0 1 1 1 0 0 0\
0 0 0 0 0 0 1 1 1\
1 0 0 1 0 0 1 0 0\
0 1 0 0 1 0 0 1 0\
0 0 1 0 0 1 0 0 1\
1 0 0 0 1 0 0 0 1\
0 1 0 0 0 1 0 0 0\
0 0 0 1 0 0 0 1 0\
0 0 1 0 1 0 1 0 0\
0 1 0 1 0 0 0 0 0\
0 0 0 0 0 1 0 1 0\
endbmatrix$$
Is there a fast way to do it without reducing to row echelon form?
linear-algebra
$endgroup$
add a comment |
$begingroup$
I need to compute the rank of the following matrix:
$$beginbmatrix
1 1 1 0 0 0 0 0 0\
0 0 0 1 1 1 0 0 0\
0 0 0 0 0 0 1 1 1\
1 0 0 1 0 0 1 0 0\
0 1 0 0 1 0 0 1 0\
0 0 1 0 0 1 0 0 1\
1 0 0 0 1 0 0 0 1\
0 1 0 0 0 1 0 0 0\
0 0 0 1 0 0 0 1 0\
0 0 1 0 1 0 1 0 0\
0 1 0 1 0 0 0 0 0\
0 0 0 0 0 1 0 1 0\
endbmatrix$$
Is there a fast way to do it without reducing to row echelon form?
linear-algebra
$endgroup$
$begingroup$
Is this some arbitrary matrix, or did it come from somewhere?
$endgroup$
– Minus One-Twelfth
Mar 22 at 3:13
$begingroup$
Rank of given matrix is ≥4. This is clearly visible (from 4th entry of first column, 5th entry of second column and 6th entry of third column it is clear that first three columns are linearly independent. further, from second entry of 4th column it is clear that, 4th column does not belongs to span of first three and hence first four columns are linearly independent)
$endgroup$
– Akash Patalwanshi
Mar 22 at 4:54
$begingroup$
Row reduction is fast especially for $0-1$ matrices. To make it faster, take the transpose and then perform row operations; or what amounts to the same thing, perform column operations instead. The rank is the same in both cases.
$endgroup$
– Chrystomath
Mar 22 at 5:10
add a comment |
$begingroup$
I need to compute the rank of the following matrix:
$$beginbmatrix
1 1 1 0 0 0 0 0 0\
0 0 0 1 1 1 0 0 0\
0 0 0 0 0 0 1 1 1\
1 0 0 1 0 0 1 0 0\
0 1 0 0 1 0 0 1 0\
0 0 1 0 0 1 0 0 1\
1 0 0 0 1 0 0 0 1\
0 1 0 0 0 1 0 0 0\
0 0 0 1 0 0 0 1 0\
0 0 1 0 1 0 1 0 0\
0 1 0 1 0 0 0 0 0\
0 0 0 0 0 1 0 1 0\
endbmatrix$$
Is there a fast way to do it without reducing to row echelon form?
linear-algebra
$endgroup$
I need to compute the rank of the following matrix:
$$beginbmatrix
1 1 1 0 0 0 0 0 0\
0 0 0 1 1 1 0 0 0\
0 0 0 0 0 0 1 1 1\
1 0 0 1 0 0 1 0 0\
0 1 0 0 1 0 0 1 0\
0 0 1 0 0 1 0 0 1\
1 0 0 0 1 0 0 0 1\
0 1 0 0 0 1 0 0 0\
0 0 0 1 0 0 0 1 0\
0 0 1 0 1 0 1 0 0\
0 1 0 1 0 0 0 0 0\
0 0 0 0 0 1 0 1 0\
endbmatrix$$
Is there a fast way to do it without reducing to row echelon form?
linear-algebra
linear-algebra
asked Mar 22 at 3:08
dxdydzdxdydz
48110
48110
$begingroup$
Is this some arbitrary matrix, or did it come from somewhere?
$endgroup$
– Minus One-Twelfth
Mar 22 at 3:13
$begingroup$
Rank of given matrix is ≥4. This is clearly visible (from 4th entry of first column, 5th entry of second column and 6th entry of third column it is clear that first three columns are linearly independent. further, from second entry of 4th column it is clear that, 4th column does not belongs to span of first three and hence first four columns are linearly independent)
$endgroup$
– Akash Patalwanshi
Mar 22 at 4:54
$begingroup$
Row reduction is fast especially for $0-1$ matrices. To make it faster, take the transpose and then perform row operations; or what amounts to the same thing, perform column operations instead. The rank is the same in both cases.
$endgroup$
– Chrystomath
Mar 22 at 5:10
add a comment |
$begingroup$
Is this some arbitrary matrix, or did it come from somewhere?
$endgroup$
– Minus One-Twelfth
Mar 22 at 3:13
$begingroup$
Rank of given matrix is ≥4. This is clearly visible (from 4th entry of first column, 5th entry of second column and 6th entry of third column it is clear that first three columns are linearly independent. further, from second entry of 4th column it is clear that, 4th column does not belongs to span of first three and hence first four columns are linearly independent)
$endgroup$
– Akash Patalwanshi
Mar 22 at 4:54
$begingroup$
Row reduction is fast especially for $0-1$ matrices. To make it faster, take the transpose and then perform row operations; or what amounts to the same thing, perform column operations instead. The rank is the same in both cases.
$endgroup$
– Chrystomath
Mar 22 at 5:10
$begingroup$
Is this some arbitrary matrix, or did it come from somewhere?
$endgroup$
– Minus One-Twelfth
Mar 22 at 3:13
$begingroup$
Is this some arbitrary matrix, or did it come from somewhere?
$endgroup$
– Minus One-Twelfth
Mar 22 at 3:13
$begingroup$
Rank of given matrix is ≥4. This is clearly visible (from 4th entry of first column, 5th entry of second column and 6th entry of third column it is clear that first three columns are linearly independent. further, from second entry of 4th column it is clear that, 4th column does not belongs to span of first three and hence first four columns are linearly independent)
$endgroup$
– Akash Patalwanshi
Mar 22 at 4:54
$begingroup$
Rank of given matrix is ≥4. This is clearly visible (from 4th entry of first column, 5th entry of second column and 6th entry of third column it is clear that first three columns are linearly independent. further, from second entry of 4th column it is clear that, 4th column does not belongs to span of first three and hence first four columns are linearly independent)
$endgroup$
– Akash Patalwanshi
Mar 22 at 4:54
$begingroup$
Row reduction is fast especially for $0-1$ matrices. To make it faster, take the transpose and then perform row operations; or what amounts to the same thing, perform column operations instead. The rank is the same in both cases.
$endgroup$
– Chrystomath
Mar 22 at 5:10
$begingroup$
Row reduction is fast especially for $0-1$ matrices. To make it faster, take the transpose and then perform row operations; or what amounts to the same thing, perform column operations instead. The rank is the same in both cases.
$endgroup$
– Chrystomath
Mar 22 at 5:10
add a comment |
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$begingroup$
Is this some arbitrary matrix, or did it come from somewhere?
$endgroup$
– Minus One-Twelfth
Mar 22 at 3:13
$begingroup$
Rank of given matrix is ≥4. This is clearly visible (from 4th entry of first column, 5th entry of second column and 6th entry of third column it is clear that first three columns are linearly independent. further, from second entry of 4th column it is clear that, 4th column does not belongs to span of first three and hence first four columns are linearly independent)
$endgroup$
– Akash Patalwanshi
Mar 22 at 4:54
$begingroup$
Row reduction is fast especially for $0-1$ matrices. To make it faster, take the transpose and then perform row operations; or what amounts to the same thing, perform column operations instead. The rank is the same in both cases.
$endgroup$
– Chrystomath
Mar 22 at 5:10