Show that $operatorname{rk}(g circ f) le min(operatorname{rk}(f), operatorname{rk}(g))$
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Show that for finite K-vector spaces U, V, W with $f:U rightarrow V$ and $g:V rightarrow W$ linear it follows that:
$$operatorname{rank}(g circ f) le min(operatorname{rank}(f), operatorname{rank}(g))$$
Hm ok so we know that:
$$operatorname{rank}(f)=dim_K(operatorname{im}(f))$$
$$operatorname{rank}(g)=dim_K(operatorname{im}(g))$$
$$operatorname{rank}(g circ f)=dim_K(operatorname{im}(g circ f))$$
I don't really know how to proceed here. Can somebody give me a hint?
linear-algebra proof-writing
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add a comment |
$begingroup$
Show that for finite K-vector spaces U, V, W with $f:U rightarrow V$ and $g:V rightarrow W$ linear it follows that:
$$operatorname{rank}(g circ f) le min(operatorname{rank}(f), operatorname{rank}(g))$$
Hm ok so we know that:
$$operatorname{rank}(f)=dim_K(operatorname{im}(f))$$
$$operatorname{rank}(g)=dim_K(operatorname{im}(g))$$
$$operatorname{rank}(g circ f)=dim_K(operatorname{im}(g circ f))$$
I don't really know how to proceed here. Can somebody give me a hint?
linear-algebra proof-writing
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What do you mean by $rg$? Rank?
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– Naweed G. Seldon
Dec 14 '18 at 18:02
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Yes. Sorry I didn't know this isn't standard notation.
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– D. John
Dec 14 '18 at 18:05
add a comment |
$begingroup$
Show that for finite K-vector spaces U, V, W with $f:U rightarrow V$ and $g:V rightarrow W$ linear it follows that:
$$operatorname{rank}(g circ f) le min(operatorname{rank}(f), operatorname{rank}(g))$$
Hm ok so we know that:
$$operatorname{rank}(f)=dim_K(operatorname{im}(f))$$
$$operatorname{rank}(g)=dim_K(operatorname{im}(g))$$
$$operatorname{rank}(g circ f)=dim_K(operatorname{im}(g circ f))$$
I don't really know how to proceed here. Can somebody give me a hint?
linear-algebra proof-writing
$endgroup$
Show that for finite K-vector spaces U, V, W with $f:U rightarrow V$ and $g:V rightarrow W$ linear it follows that:
$$operatorname{rank}(g circ f) le min(operatorname{rank}(f), operatorname{rank}(g))$$
Hm ok so we know that:
$$operatorname{rank}(f)=dim_K(operatorname{im}(f))$$
$$operatorname{rank}(g)=dim_K(operatorname{im}(g))$$
$$operatorname{rank}(g circ f)=dim_K(operatorname{im}(g circ f))$$
I don't really know how to proceed here. Can somebody give me a hint?
linear-algebra proof-writing
linear-algebra proof-writing
edited Dec 14 '18 at 18:22
Carl Schildkraut
11.2k11441
11.2k11441
asked Dec 14 '18 at 17:57
D. JohnD. John
283
283
$begingroup$
What do you mean by $rg$? Rank?
$endgroup$
– Naweed G. Seldon
Dec 14 '18 at 18:02
$begingroup$
Yes. Sorry I didn't know this isn't standard notation.
$endgroup$
– D. John
Dec 14 '18 at 18:05
add a comment |
$begingroup$
What do you mean by $rg$? Rank?
$endgroup$
– Naweed G. Seldon
Dec 14 '18 at 18:02
$begingroup$
Yes. Sorry I didn't know this isn't standard notation.
$endgroup$
– D. John
Dec 14 '18 at 18:05
$begingroup$
What do you mean by $rg$? Rank?
$endgroup$
– Naweed G. Seldon
Dec 14 '18 at 18:02
$begingroup$
What do you mean by $rg$? Rank?
$endgroup$
– Naweed G. Seldon
Dec 14 '18 at 18:02
$begingroup$
Yes. Sorry I didn't know this isn't standard notation.
$endgroup$
– D. John
Dec 14 '18 at 18:05
$begingroup$
Yes. Sorry I didn't know this isn't standard notation.
$endgroup$
– D. John
Dec 14 '18 at 18:05
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
Here's a hint: if $f : V to W$ is a linear transformation with a finite rank $r$, then given any list of vectors $v_1, ldots, v_n in V$, the images $f(v_1), ldots, f(v_n)$ can only contain at most $r$ linearly independent vectors. It doesn't matter if $v_1, ldots, v_n$ are linearly independent or not, this still holds true.
Prove this, and examine what happens to a basis of $U$ when mapped first under $f$, then under $g$.
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add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Here's a hint: if $f : V to W$ is a linear transformation with a finite rank $r$, then given any list of vectors $v_1, ldots, v_n in V$, the images $f(v_1), ldots, f(v_n)$ can only contain at most $r$ linearly independent vectors. It doesn't matter if $v_1, ldots, v_n$ are linearly independent or not, this still holds true.
Prove this, and examine what happens to a basis of $U$ when mapped first under $f$, then under $g$.
$endgroup$
add a comment |
$begingroup$
Here's a hint: if $f : V to W$ is a linear transformation with a finite rank $r$, then given any list of vectors $v_1, ldots, v_n in V$, the images $f(v_1), ldots, f(v_n)$ can only contain at most $r$ linearly independent vectors. It doesn't matter if $v_1, ldots, v_n$ are linearly independent or not, this still holds true.
Prove this, and examine what happens to a basis of $U$ when mapped first under $f$, then under $g$.
$endgroup$
add a comment |
$begingroup$
Here's a hint: if $f : V to W$ is a linear transformation with a finite rank $r$, then given any list of vectors $v_1, ldots, v_n in V$, the images $f(v_1), ldots, f(v_n)$ can only contain at most $r$ linearly independent vectors. It doesn't matter if $v_1, ldots, v_n$ are linearly independent or not, this still holds true.
Prove this, and examine what happens to a basis of $U$ when mapped first under $f$, then under $g$.
$endgroup$
Here's a hint: if $f : V to W$ is a linear transformation with a finite rank $r$, then given any list of vectors $v_1, ldots, v_n in V$, the images $f(v_1), ldots, f(v_n)$ can only contain at most $r$ linearly independent vectors. It doesn't matter if $v_1, ldots, v_n$ are linearly independent or not, this still holds true.
Prove this, and examine what happens to a basis of $U$ when mapped first under $f$, then under $g$.
answered Dec 14 '18 at 18:17
Theo BenditTheo Bendit
17.2k12149
17.2k12149
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$begingroup$
What do you mean by $rg$? Rank?
$endgroup$
– Naweed G. Seldon
Dec 14 '18 at 18:02
$begingroup$
Yes. Sorry I didn't know this isn't standard notation.
$endgroup$
– D. John
Dec 14 '18 at 18:05