Span of vectors with more entries in each vector than the amount of vectors

Clash Royale CLAN TAG#URR8PPP
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2
down vote
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I can easily visualize why $beginbmatrix
1\ 0
endbmatrix$ and $beginbmatrix
0\ 1
endbmatrix$ spans $R^2$. I have learned that we need at least two linearly independent vectors to span $R^2$, $3$ to span $R^3$ and so on... This is easy to visualize when the entries in the vectors are the same as the amount of total vectors.
But what happens if we for instance have the two vectors $beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix$ and $beginbmatrix
0\1\0\1
endbmatrix$.
Clearly, the two vectors are linearly independent, but do they still only span $R^2$? If we add the two vectors we produce $beginbmatrix
1\ 1\1\1
endbmatrix$ which is a vector in $R^4$, right?
So my question boils down to what is the span of $beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix$ and $beginbmatrix
0\1\0\1
endbmatrix$, and in general what is the span of a set of vectors with more entries in each vector than vectors in total?
linear-algebra vector-spaces
add a comment |Â
up vote
2
down vote
favorite
I can easily visualize why $beginbmatrix
1\ 0
endbmatrix$ and $beginbmatrix
0\ 1
endbmatrix$ spans $R^2$. I have learned that we need at least two linearly independent vectors to span $R^2$, $3$ to span $R^3$ and so on... This is easy to visualize when the entries in the vectors are the same as the amount of total vectors.
But what happens if we for instance have the two vectors $beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix$ and $beginbmatrix
0\1\0\1
endbmatrix$.
Clearly, the two vectors are linearly independent, but do they still only span $R^2$? If we add the two vectors we produce $beginbmatrix
1\ 1\1\1
endbmatrix$ which is a vector in $R^4$, right?
So my question boils down to what is the span of $beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix$ and $beginbmatrix
0\1\0\1
endbmatrix$, and in general what is the span of a set of vectors with more entries in each vector than vectors in total?
linear-algebra vector-spaces
add a comment |Â
up vote
2
down vote
favorite
up vote
2
down vote
favorite
I can easily visualize why $beginbmatrix
1\ 0
endbmatrix$ and $beginbmatrix
0\ 1
endbmatrix$ spans $R^2$. I have learned that we need at least two linearly independent vectors to span $R^2$, $3$ to span $R^3$ and so on... This is easy to visualize when the entries in the vectors are the same as the amount of total vectors.
But what happens if we for instance have the two vectors $beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix$ and $beginbmatrix
0\1\0\1
endbmatrix$.
Clearly, the two vectors are linearly independent, but do they still only span $R^2$? If we add the two vectors we produce $beginbmatrix
1\ 1\1\1
endbmatrix$ which is a vector in $R^4$, right?
So my question boils down to what is the span of $beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix$ and $beginbmatrix
0\1\0\1
endbmatrix$, and in general what is the span of a set of vectors with more entries in each vector than vectors in total?
linear-algebra vector-spaces
I can easily visualize why $beginbmatrix
1\ 0
endbmatrix$ and $beginbmatrix
0\ 1
endbmatrix$ spans $R^2$. I have learned that we need at least two linearly independent vectors to span $R^2$, $3$ to span $R^3$ and so on... This is easy to visualize when the entries in the vectors are the same as the amount of total vectors.
But what happens if we for instance have the two vectors $beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix$ and $beginbmatrix
0\1\0\1
endbmatrix$.
Clearly, the two vectors are linearly independent, but do they still only span $R^2$? If we add the two vectors we produce $beginbmatrix
1\ 1\1\1
endbmatrix$ which is a vector in $R^4$, right?
So my question boils down to what is the span of $beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix$ and $beginbmatrix
0\1\0\1
endbmatrix$, and in general what is the span of a set of vectors with more entries in each vector than vectors in total?
linear-algebra vector-spaces
linear-algebra vector-spaces
edited 21 mins ago
gimusi
76k73889
76k73889
asked 32 mins ago
novo
40818
40818
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3 Answers
3
active
oldest
votes
up vote
1
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accepted
The span of the vectors you mention is a subspace of the vector space to which they belong. So $(1,0,1,0)$ and $(0,1,0,1)$ span a two dimensional subspace (since as you note the vectors are linearly independent) of $mathbbR^4$. It is not $mathbbR^2$ exactly as this subspace contains $4$-tuples, but it is `equivalen' (in some sense) to $mathbbR^2$ if this is of interest to you.
So in general a span of $m<n$ linearly independent vectors in $mathbbR^n$ is a $m$-dimensional subspace of $mathbbR^n$.
add a comment |Â
up vote
3
down vote
Your vectors live in $mathbbR^4$, not in $mathbbR^2$, and therefore it is out of the question that they span $mathbbR^2$. Since they live in $mathbbR^4$, they span a subspace of $mathbbR^4$, whish happens to be$$leftbeginbmatrixx&y&x¥dbmatrix^T,middle.$$
I really don't understand downvotes for such kind of OP and answers!
â gimusi
23 mins ago
@gimusi Me neither.
â José Carlos Santos
21 mins ago
add a comment |Â
up vote
2
down vote
You are right the two vectors are linearly independent and therefore they span a $2$ dimensional subspace in $mathbbR^4$ that is in parametric form
$$beginbmatrix
x\ y \ z \ w
endbmatrix=scdot beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix+tcdot beginbmatrix
0\ 1 \ 0 \ 1
endbmatrix=beginbmatrix
s\ t \ s \ t
endbmatrix$$
with $s,t in mathbbR$, or in cartesian form
- $x=z$
- $y=w$
add a comment |Â
3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
The span of the vectors you mention is a subspace of the vector space to which they belong. So $(1,0,1,0)$ and $(0,1,0,1)$ span a two dimensional subspace (since as you note the vectors are linearly independent) of $mathbbR^4$. It is not $mathbbR^2$ exactly as this subspace contains $4$-tuples, but it is `equivalen' (in some sense) to $mathbbR^2$ if this is of interest to you.
So in general a span of $m<n$ linearly independent vectors in $mathbbR^n$ is a $m$-dimensional subspace of $mathbbR^n$.
add a comment |Â
up vote
1
down vote
accepted
The span of the vectors you mention is a subspace of the vector space to which they belong. So $(1,0,1,0)$ and $(0,1,0,1)$ span a two dimensional subspace (since as you note the vectors are linearly independent) of $mathbbR^4$. It is not $mathbbR^2$ exactly as this subspace contains $4$-tuples, but it is `equivalen' (in some sense) to $mathbbR^2$ if this is of interest to you.
So in general a span of $m<n$ linearly independent vectors in $mathbbR^n$ is a $m$-dimensional subspace of $mathbbR^n$.
add a comment |Â
up vote
1
down vote
accepted
up vote
1
down vote
accepted
The span of the vectors you mention is a subspace of the vector space to which they belong. So $(1,0,1,0)$ and $(0,1,0,1)$ span a two dimensional subspace (since as you note the vectors are linearly independent) of $mathbbR^4$. It is not $mathbbR^2$ exactly as this subspace contains $4$-tuples, but it is `equivalen' (in some sense) to $mathbbR^2$ if this is of interest to you.
So in general a span of $m<n$ linearly independent vectors in $mathbbR^n$ is a $m$-dimensional subspace of $mathbbR^n$.
The span of the vectors you mention is a subspace of the vector space to which they belong. So $(1,0,1,0)$ and $(0,1,0,1)$ span a two dimensional subspace (since as you note the vectors are linearly independent) of $mathbbR^4$. It is not $mathbbR^2$ exactly as this subspace contains $4$-tuples, but it is `equivalen' (in some sense) to $mathbbR^2$ if this is of interest to you.
So in general a span of $m<n$ linearly independent vectors in $mathbbR^n$ is a $m$-dimensional subspace of $mathbbR^n$.
answered 24 mins ago
AnyAD
1,601711
1,601711
add a comment |Â
add a comment |Â
up vote
3
down vote
Your vectors live in $mathbbR^4$, not in $mathbbR^2$, and therefore it is out of the question that they span $mathbbR^2$. Since they live in $mathbbR^4$, they span a subspace of $mathbbR^4$, whish happens to be$$leftbeginbmatrixx&y&x¥dbmatrix^T,middle.$$
I really don't understand downvotes for such kind of OP and answers!
â gimusi
23 mins ago
@gimusi Me neither.
â José Carlos Santos
21 mins ago
add a comment |Â
up vote
3
down vote
Your vectors live in $mathbbR^4$, not in $mathbbR^2$, and therefore it is out of the question that they span $mathbbR^2$. Since they live in $mathbbR^4$, they span a subspace of $mathbbR^4$, whish happens to be$$leftbeginbmatrixx&y&x¥dbmatrix^T,middle.$$
I really don't understand downvotes for such kind of OP and answers!
â gimusi
23 mins ago
@gimusi Me neither.
â José Carlos Santos
21 mins ago
add a comment |Â
up vote
3
down vote
up vote
3
down vote
Your vectors live in $mathbbR^4$, not in $mathbbR^2$, and therefore it is out of the question that they span $mathbbR^2$. Since they live in $mathbbR^4$, they span a subspace of $mathbbR^4$, whish happens to be$$leftbeginbmatrixx&y&x¥dbmatrix^T,middle.$$
Your vectors live in $mathbbR^4$, not in $mathbbR^2$, and therefore it is out of the question that they span $mathbbR^2$. Since they live in $mathbbR^4$, they span a subspace of $mathbbR^4$, whish happens to be$$leftbeginbmatrixx&y&x¥dbmatrix^T,middle.$$
answered 28 mins ago
José Carlos Santos
125k17101188
125k17101188
I really don't understand downvotes for such kind of OP and answers!
â gimusi
23 mins ago
@gimusi Me neither.
â José Carlos Santos
21 mins ago
add a comment |Â
I really don't understand downvotes for such kind of OP and answers!
â gimusi
23 mins ago
@gimusi Me neither.
â José Carlos Santos
21 mins ago
I really don't understand downvotes for such kind of OP and answers!
â gimusi
23 mins ago
I really don't understand downvotes for such kind of OP and answers!
â gimusi
23 mins ago
@gimusi Me neither.
â José Carlos Santos
21 mins ago
@gimusi Me neither.
â José Carlos Santos
21 mins ago
add a comment |Â
up vote
2
down vote
You are right the two vectors are linearly independent and therefore they span a $2$ dimensional subspace in $mathbbR^4$ that is in parametric form
$$beginbmatrix
x\ y \ z \ w
endbmatrix=scdot beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix+tcdot beginbmatrix
0\ 1 \ 0 \ 1
endbmatrix=beginbmatrix
s\ t \ s \ t
endbmatrix$$
with $s,t in mathbbR$, or in cartesian form
- $x=z$
- $y=w$
add a comment |Â
up vote
2
down vote
You are right the two vectors are linearly independent and therefore they span a $2$ dimensional subspace in $mathbbR^4$ that is in parametric form
$$beginbmatrix
x\ y \ z \ w
endbmatrix=scdot beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix+tcdot beginbmatrix
0\ 1 \ 0 \ 1
endbmatrix=beginbmatrix
s\ t \ s \ t
endbmatrix$$
with $s,t in mathbbR$, or in cartesian form
- $x=z$
- $y=w$
add a comment |Â
up vote
2
down vote
up vote
2
down vote
You are right the two vectors are linearly independent and therefore they span a $2$ dimensional subspace in $mathbbR^4$ that is in parametric form
$$beginbmatrix
x\ y \ z \ w
endbmatrix=scdot beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix+tcdot beginbmatrix
0\ 1 \ 0 \ 1
endbmatrix=beginbmatrix
s\ t \ s \ t
endbmatrix$$
with $s,t in mathbbR$, or in cartesian form
- $x=z$
- $y=w$
You are right the two vectors are linearly independent and therefore they span a $2$ dimensional subspace in $mathbbR^4$ that is in parametric form
$$beginbmatrix
x\ y \ z \ w
endbmatrix=scdot beginbmatrix
1\ 0 \ 1 \ 0
endbmatrix+tcdot beginbmatrix
0\ 1 \ 0 \ 1
endbmatrix=beginbmatrix
s\ t \ s \ t
endbmatrix$$
with $s,t in mathbbR$, or in cartesian form
- $x=z$
- $y=w$
answered 30 mins ago
gimusi
76k73889
76k73889
add a comment |Â
add a comment |Â
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