Basis and rank of a matrix
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My professor assigned this question and I am a bit confused by the wording of it.
Find (a) a basis for the row space and (b) rank of the matrix:
begin{bmatrix}2&5\-2&-5\-6&-15end{bmatrix}
There is only one pivot row, r1 so the rank is one. What I don't understand is finding a basis for the row space.
- There isn't a basis for the row spaces in the vector space of M3,2 matrices because there is only one pivot row.
- Since there is only one pivot row, then the row space can only be a basis for M1,2 right?
linear-algebra
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up vote
1
down vote
favorite
My professor assigned this question and I am a bit confused by the wording of it.
Find (a) a basis for the row space and (b) rank of the matrix:
begin{bmatrix}2&5\-2&-5\-6&-15end{bmatrix}
There is only one pivot row, r1 so the rank is one. What I don't understand is finding a basis for the row space.
- There isn't a basis for the row spaces in the vector space of M3,2 matrices because there is only one pivot row.
- Since there is only one pivot row, then the row space can only be a basis for M1,2 right?
linear-algebra
1
the vector given by the first row is a basis, the row space is one dimensional. In general, you find the row echelon form, whatever you might call it, and the nonzero rows give a basis, and the row rank is just the number of such nonzero rows
– Will Jagy
Nov 15 at 19:27
the only nonzero row in reduced row echelon form is the first row, (1,2.5,0). So this is the basis for the row space of the above matrix?
– Evan Kim
Nov 15 at 19:29
yes.................
– Will Jagy
Nov 15 at 19:30
Is there a difference between being (1,2.5,0) and (1,2.5)? I think the answer should actually be (1,2,5) because there are only two elements in the matrix. I got the 0 from reducing to row echelon form from the augmented matrix, but I don't think I needed to do that step
– Evan Kim
Nov 15 at 19:38
1
I did not notice the $0,$ which is wrong. The basis vector is either your $(1,frac{5}{2})$ or the original $(2,5).$ I suggest you stick with your $(1,frac{5}{2})$ as it comes directly from the echelon form
– Will Jagy
Nov 15 at 19:47
|
show 1 more comment
up vote
1
down vote
favorite
up vote
1
down vote
favorite
My professor assigned this question and I am a bit confused by the wording of it.
Find (a) a basis for the row space and (b) rank of the matrix:
begin{bmatrix}2&5\-2&-5\-6&-15end{bmatrix}
There is only one pivot row, r1 so the rank is one. What I don't understand is finding a basis for the row space.
- There isn't a basis for the row spaces in the vector space of M3,2 matrices because there is only one pivot row.
- Since there is only one pivot row, then the row space can only be a basis for M1,2 right?
linear-algebra
My professor assigned this question and I am a bit confused by the wording of it.
Find (a) a basis for the row space and (b) rank of the matrix:
begin{bmatrix}2&5\-2&-5\-6&-15end{bmatrix}
There is only one pivot row, r1 so the rank is one. What I don't understand is finding a basis for the row space.
- There isn't a basis for the row spaces in the vector space of M3,2 matrices because there is only one pivot row.
- Since there is only one pivot row, then the row space can only be a basis for M1,2 right?
linear-algebra
linear-algebra
edited Nov 15 at 19:38
Bernard
115k637108
115k637108
asked Nov 15 at 19:23
Evan Kim
266
266
1
the vector given by the first row is a basis, the row space is one dimensional. In general, you find the row echelon form, whatever you might call it, and the nonzero rows give a basis, and the row rank is just the number of such nonzero rows
– Will Jagy
Nov 15 at 19:27
the only nonzero row in reduced row echelon form is the first row, (1,2.5,0). So this is the basis for the row space of the above matrix?
– Evan Kim
Nov 15 at 19:29
yes.................
– Will Jagy
Nov 15 at 19:30
Is there a difference between being (1,2.5,0) and (1,2.5)? I think the answer should actually be (1,2,5) because there are only two elements in the matrix. I got the 0 from reducing to row echelon form from the augmented matrix, but I don't think I needed to do that step
– Evan Kim
Nov 15 at 19:38
1
I did not notice the $0,$ which is wrong. The basis vector is either your $(1,frac{5}{2})$ or the original $(2,5).$ I suggest you stick with your $(1,frac{5}{2})$ as it comes directly from the echelon form
– Will Jagy
Nov 15 at 19:47
|
show 1 more comment
1
the vector given by the first row is a basis, the row space is one dimensional. In general, you find the row echelon form, whatever you might call it, and the nonzero rows give a basis, and the row rank is just the number of such nonzero rows
– Will Jagy
Nov 15 at 19:27
the only nonzero row in reduced row echelon form is the first row, (1,2.5,0). So this is the basis for the row space of the above matrix?
– Evan Kim
Nov 15 at 19:29
yes.................
– Will Jagy
Nov 15 at 19:30
Is there a difference between being (1,2.5,0) and (1,2.5)? I think the answer should actually be (1,2,5) because there are only two elements in the matrix. I got the 0 from reducing to row echelon form from the augmented matrix, but I don't think I needed to do that step
– Evan Kim
Nov 15 at 19:38
1
I did not notice the $0,$ which is wrong. The basis vector is either your $(1,frac{5}{2})$ or the original $(2,5).$ I suggest you stick with your $(1,frac{5}{2})$ as it comes directly from the echelon form
– Will Jagy
Nov 15 at 19:47
1
1
the vector given by the first row is a basis, the row space is one dimensional. In general, you find the row echelon form, whatever you might call it, and the nonzero rows give a basis, and the row rank is just the number of such nonzero rows
– Will Jagy
Nov 15 at 19:27
the vector given by the first row is a basis, the row space is one dimensional. In general, you find the row echelon form, whatever you might call it, and the nonzero rows give a basis, and the row rank is just the number of such nonzero rows
– Will Jagy
Nov 15 at 19:27
the only nonzero row in reduced row echelon form is the first row, (1,2.5,0). So this is the basis for the row space of the above matrix?
– Evan Kim
Nov 15 at 19:29
the only nonzero row in reduced row echelon form is the first row, (1,2.5,0). So this is the basis for the row space of the above matrix?
– Evan Kim
Nov 15 at 19:29
yes.................
– Will Jagy
Nov 15 at 19:30
yes.................
– Will Jagy
Nov 15 at 19:30
Is there a difference between being (1,2.5,0) and (1,2.5)? I think the answer should actually be (1,2,5) because there are only two elements in the matrix. I got the 0 from reducing to row echelon form from the augmented matrix, but I don't think I needed to do that step
– Evan Kim
Nov 15 at 19:38
Is there a difference between being (1,2.5,0) and (1,2.5)? I think the answer should actually be (1,2,5) because there are only two elements in the matrix. I got the 0 from reducing to row echelon form from the augmented matrix, but I don't think I needed to do that step
– Evan Kim
Nov 15 at 19:38
1
1
I did not notice the $0,$ which is wrong. The basis vector is either your $(1,frac{5}{2})$ or the original $(2,5).$ I suggest you stick with your $(1,frac{5}{2})$ as it comes directly from the echelon form
– Will Jagy
Nov 15 at 19:47
I did not notice the $0,$ which is wrong. The basis vector is either your $(1,frac{5}{2})$ or the original $(2,5).$ I suggest you stick with your $(1,frac{5}{2})$ as it comes directly from the echelon form
– Will Jagy
Nov 15 at 19:47
|
show 1 more comment
1 Answer
1
active
oldest
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up vote
0
down vote
Before we begin, let's define something first:
- Let the matrix in your question denoted as $A$.
- Let the row space of $A$ denoted as $RS(A)$.
- RREF is the abbreviation of reduced row echelon form, which is the result of Gauss-Jordan elimination.
Given any tuple $(a,b)inmathbb R^2$:
- It can be seen as
$left[
begin{array}{c}
a\ b
end{array}
right]inmathbb R^{2times1}$
- It can be seen as
$left[
begin{array}{r}
a, b
end{array}
right]inmathbb R^{1times2}$
- So let's just use $(a,b)inmathbb R^2$ to mean one of them that makes sense in the context.
- It can be seen as
["] There isn't a basis for the row spaces in the vector space of M3,2 matrices because there is only one pivot row [."]
- By definition of row space, it's the span of the rows of $A$, which is a subspace of $mathbb R^2$(or $mathbb R^{1times2}$ as explained above) so it must has a basis.
$dim mathbb R^2=2,$ and $dim RS(A)=1$, no contradiction.
$(2,5)$ is not a basis of $mathbb R^2$.
$(2,5)$ is a basis of $RS(A)$.
["] Since there is only one pivot row, then the row space can only be a basis for M1,2 right? [."]
$textrm{One pivot row in RREF}$ $iff$ $textrm{rank}(A)=1$.- Basis is a set of vector(s) that spans a (sub)space.
- Row space is a subspace, which means it contains $mathbf 0$, so it cannot be a basis.
From the comment, you might also consider some questions/issues:
- Why turning $A$ into RREF doesn't change the $RS(A)$?
- Why you said the first row in RREF is $(1,2.5,0)inmathbb R^3$? It should still be in $mathbb R^2$.
- The difference is that $(1,2.5)inmathbb R^2$ and $(1,2.5,0)inmathbb R^3$.
New contributor
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
Before we begin, let's define something first:
- Let the matrix in your question denoted as $A$.
- Let the row space of $A$ denoted as $RS(A)$.
- RREF is the abbreviation of reduced row echelon form, which is the result of Gauss-Jordan elimination.
Given any tuple $(a,b)inmathbb R^2$:
- It can be seen as
$left[
begin{array}{c}
a\ b
end{array}
right]inmathbb R^{2times1}$
- It can be seen as
$left[
begin{array}{r}
a, b
end{array}
right]inmathbb R^{1times2}$
- So let's just use $(a,b)inmathbb R^2$ to mean one of them that makes sense in the context.
- It can be seen as
["] There isn't a basis for the row spaces in the vector space of M3,2 matrices because there is only one pivot row [."]
- By definition of row space, it's the span of the rows of $A$, which is a subspace of $mathbb R^2$(or $mathbb R^{1times2}$ as explained above) so it must has a basis.
$dim mathbb R^2=2,$ and $dim RS(A)=1$, no contradiction.
$(2,5)$ is not a basis of $mathbb R^2$.
$(2,5)$ is a basis of $RS(A)$.
["] Since there is only one pivot row, then the row space can only be a basis for M1,2 right? [."]
$textrm{One pivot row in RREF}$ $iff$ $textrm{rank}(A)=1$.- Basis is a set of vector(s) that spans a (sub)space.
- Row space is a subspace, which means it contains $mathbf 0$, so it cannot be a basis.
From the comment, you might also consider some questions/issues:
- Why turning $A$ into RREF doesn't change the $RS(A)$?
- Why you said the first row in RREF is $(1,2.5,0)inmathbb R^3$? It should still be in $mathbb R^2$.
- The difference is that $(1,2.5)inmathbb R^2$ and $(1,2.5,0)inmathbb R^3$.
New contributor
add a comment |
up vote
0
down vote
Before we begin, let's define something first:
- Let the matrix in your question denoted as $A$.
- Let the row space of $A$ denoted as $RS(A)$.
- RREF is the abbreviation of reduced row echelon form, which is the result of Gauss-Jordan elimination.
Given any tuple $(a,b)inmathbb R^2$:
- It can be seen as
$left[
begin{array}{c}
a\ b
end{array}
right]inmathbb R^{2times1}$
- It can be seen as
$left[
begin{array}{r}
a, b
end{array}
right]inmathbb R^{1times2}$
- So let's just use $(a,b)inmathbb R^2$ to mean one of them that makes sense in the context.
- It can be seen as
["] There isn't a basis for the row spaces in the vector space of M3,2 matrices because there is only one pivot row [."]
- By definition of row space, it's the span of the rows of $A$, which is a subspace of $mathbb R^2$(or $mathbb R^{1times2}$ as explained above) so it must has a basis.
$dim mathbb R^2=2,$ and $dim RS(A)=1$, no contradiction.
$(2,5)$ is not a basis of $mathbb R^2$.
$(2,5)$ is a basis of $RS(A)$.
["] Since there is only one pivot row, then the row space can only be a basis for M1,2 right? [."]
$textrm{One pivot row in RREF}$ $iff$ $textrm{rank}(A)=1$.- Basis is a set of vector(s) that spans a (sub)space.
- Row space is a subspace, which means it contains $mathbf 0$, so it cannot be a basis.
From the comment, you might also consider some questions/issues:
- Why turning $A$ into RREF doesn't change the $RS(A)$?
- Why you said the first row in RREF is $(1,2.5,0)inmathbb R^3$? It should still be in $mathbb R^2$.
- The difference is that $(1,2.5)inmathbb R^2$ and $(1,2.5,0)inmathbb R^3$.
New contributor
add a comment |
up vote
0
down vote
up vote
0
down vote
Before we begin, let's define something first:
- Let the matrix in your question denoted as $A$.
- Let the row space of $A$ denoted as $RS(A)$.
- RREF is the abbreviation of reduced row echelon form, which is the result of Gauss-Jordan elimination.
Given any tuple $(a,b)inmathbb R^2$:
- It can be seen as
$left[
begin{array}{c}
a\ b
end{array}
right]inmathbb R^{2times1}$
- It can be seen as
$left[
begin{array}{r}
a, b
end{array}
right]inmathbb R^{1times2}$
- So let's just use $(a,b)inmathbb R^2$ to mean one of them that makes sense in the context.
- It can be seen as
["] There isn't a basis for the row spaces in the vector space of M3,2 matrices because there is only one pivot row [."]
- By definition of row space, it's the span of the rows of $A$, which is a subspace of $mathbb R^2$(or $mathbb R^{1times2}$ as explained above) so it must has a basis.
$dim mathbb R^2=2,$ and $dim RS(A)=1$, no contradiction.
$(2,5)$ is not a basis of $mathbb R^2$.
$(2,5)$ is a basis of $RS(A)$.
["] Since there is only one pivot row, then the row space can only be a basis for M1,2 right? [."]
$textrm{One pivot row in RREF}$ $iff$ $textrm{rank}(A)=1$.- Basis is a set of vector(s) that spans a (sub)space.
- Row space is a subspace, which means it contains $mathbf 0$, so it cannot be a basis.
From the comment, you might also consider some questions/issues:
- Why turning $A$ into RREF doesn't change the $RS(A)$?
- Why you said the first row in RREF is $(1,2.5,0)inmathbb R^3$? It should still be in $mathbb R^2$.
- The difference is that $(1,2.5)inmathbb R^2$ and $(1,2.5,0)inmathbb R^3$.
New contributor
Before we begin, let's define something first:
- Let the matrix in your question denoted as $A$.
- Let the row space of $A$ denoted as $RS(A)$.
- RREF is the abbreviation of reduced row echelon form, which is the result of Gauss-Jordan elimination.
Given any tuple $(a,b)inmathbb R^2$:
- It can be seen as
$left[
begin{array}{c}
a\ b
end{array}
right]inmathbb R^{2times1}$
- It can be seen as
$left[
begin{array}{r}
a, b
end{array}
right]inmathbb R^{1times2}$
- So let's just use $(a,b)inmathbb R^2$ to mean one of them that makes sense in the context.
- It can be seen as
["] There isn't a basis for the row spaces in the vector space of M3,2 matrices because there is only one pivot row [."]
- By definition of row space, it's the span of the rows of $A$, which is a subspace of $mathbb R^2$(or $mathbb R^{1times2}$ as explained above) so it must has a basis.
$dim mathbb R^2=2,$ and $dim RS(A)=1$, no contradiction.
$(2,5)$ is not a basis of $mathbb R^2$.
$(2,5)$ is a basis of $RS(A)$.
["] Since there is only one pivot row, then the row space can only be a basis for M1,2 right? [."]
$textrm{One pivot row in RREF}$ $iff$ $textrm{rank}(A)=1$.- Basis is a set of vector(s) that spans a (sub)space.
- Row space is a subspace, which means it contains $mathbf 0$, so it cannot be a basis.
From the comment, you might also consider some questions/issues:
- Why turning $A$ into RREF doesn't change the $RS(A)$?
- Why you said the first row in RREF is $(1,2.5,0)inmathbb R^3$? It should still be in $mathbb R^2$.
- The difference is that $(1,2.5)inmathbb R^2$ and $(1,2.5,0)inmathbb R^3$.
New contributor
edited Nov 15 at 20:57
New contributor
answered Nov 15 at 20:13
614177
416
416
New contributor
New contributor
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the vector given by the first row is a basis, the row space is one dimensional. In general, you find the row echelon form, whatever you might call it, and the nonzero rows give a basis, and the row rank is just the number of such nonzero rows
– Will Jagy
Nov 15 at 19:27
the only nonzero row in reduced row echelon form is the first row, (1,2.5,0). So this is the basis for the row space of the above matrix?
– Evan Kim
Nov 15 at 19:29
yes.................
– Will Jagy
Nov 15 at 19:30
Is there a difference between being (1,2.5,0) and (1,2.5)? I think the answer should actually be (1,2,5) because there are only two elements in the matrix. I got the 0 from reducing to row echelon form from the augmented matrix, but I don't think I needed to do that step
– Evan Kim
Nov 15 at 19:38
1
I did not notice the $0,$ which is wrong. The basis vector is either your $(1,frac{5}{2})$ or the original $(2,5).$ I suggest you stick with your $(1,frac{5}{2})$ as it comes directly from the echelon form
– Will Jagy
Nov 15 at 19:47