If $X = Y + operatorname{im}(F)$, prove that $dim (X) le 2 cdot dim (Y)$
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I am considering this task
$X$ is linear space, $dim X < infty$, $Y subset X$ is linear
subspace and $X = Y + operatorname{im}(F)$ for some linear
transformation $F in L(Y,X)$. Prove that $dim X le 2 cdot dim Y$
and there is equality iff $F$ is monomorphism and $Y cap
> operatorname{im}(F) = {0}$.
my try
I think that the best option is use this formula:
$$ dim (operatorname{im}(F)) + dim Y = dim (Y + operatorname{im}(F)) + dim (Y cap operatorname{im}(F)) $$
but we know that
$$ X = Y + operatorname{im}(F) $$
so
$$ dim (operatorname{im}(F)) + dim Y = dim X + dim (Y cap operatorname{im}(F)) $$
Moreover
$$ dim (Y cap operatorname{im}(F)) le dim (operatorname{im}(F))$$
so
$$ dim Y le dim X $$
but unfortunately it is trivial because it comes from
$$ X = Y + operatorname{im}(F) $$
I am trying on different ways but in each case I finish at something like that.
This task has been added to site a long time ago but I want to use this formula (only if it's possible) and I want to show my way of thinking there.
linear-algebra dimension-theory
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add a comment |
$begingroup$
I am considering this task
$X$ is linear space, $dim X < infty$, $Y subset X$ is linear
subspace and $X = Y + operatorname{im}(F)$ for some linear
transformation $F in L(Y,X)$. Prove that $dim X le 2 cdot dim Y$
and there is equality iff $F$ is monomorphism and $Y cap
> operatorname{im}(F) = {0}$.
my try
I think that the best option is use this formula:
$$ dim (operatorname{im}(F)) + dim Y = dim (Y + operatorname{im}(F)) + dim (Y cap operatorname{im}(F)) $$
but we know that
$$ X = Y + operatorname{im}(F) $$
so
$$ dim (operatorname{im}(F)) + dim Y = dim X + dim (Y cap operatorname{im}(F)) $$
Moreover
$$ dim (Y cap operatorname{im}(F)) le dim (operatorname{im}(F))$$
so
$$ dim Y le dim X $$
but unfortunately it is trivial because it comes from
$$ X = Y + operatorname{im}(F) $$
I am trying on different ways but in each case I finish at something like that.
This task has been added to site a long time ago but I want to use this formula (only if it's possible) and I want to show my way of thinking there.
linear-algebra dimension-theory
$endgroup$
add a comment |
$begingroup$
I am considering this task
$X$ is linear space, $dim X < infty$, $Y subset X$ is linear
subspace and $X = Y + operatorname{im}(F)$ for some linear
transformation $F in L(Y,X)$. Prove that $dim X le 2 cdot dim Y$
and there is equality iff $F$ is monomorphism and $Y cap
> operatorname{im}(F) = {0}$.
my try
I think that the best option is use this formula:
$$ dim (operatorname{im}(F)) + dim Y = dim (Y + operatorname{im}(F)) + dim (Y cap operatorname{im}(F)) $$
but we know that
$$ X = Y + operatorname{im}(F) $$
so
$$ dim (operatorname{im}(F)) + dim Y = dim X + dim (Y cap operatorname{im}(F)) $$
Moreover
$$ dim (Y cap operatorname{im}(F)) le dim (operatorname{im}(F))$$
so
$$ dim Y le dim X $$
but unfortunately it is trivial because it comes from
$$ X = Y + operatorname{im}(F) $$
I am trying on different ways but in each case I finish at something like that.
This task has been added to site a long time ago but I want to use this formula (only if it's possible) and I want to show my way of thinking there.
linear-algebra dimension-theory
$endgroup$
I am considering this task
$X$ is linear space, $dim X < infty$, $Y subset X$ is linear
subspace and $X = Y + operatorname{im}(F)$ for some linear
transformation $F in L(Y,X)$. Prove that $dim X le 2 cdot dim Y$
and there is equality iff $F$ is monomorphism and $Y cap
> operatorname{im}(F) = {0}$.
my try
I think that the best option is use this formula:
$$ dim (operatorname{im}(F)) + dim Y = dim (Y + operatorname{im}(F)) + dim (Y cap operatorname{im}(F)) $$
but we know that
$$ X = Y + operatorname{im}(F) $$
so
$$ dim (operatorname{im}(F)) + dim Y = dim X + dim (Y cap operatorname{im}(F)) $$
Moreover
$$ dim (Y cap operatorname{im}(F)) le dim (operatorname{im}(F))$$
so
$$ dim Y le dim X $$
but unfortunately it is trivial because it comes from
$$ X = Y + operatorname{im}(F) $$
I am trying on different ways but in each case I finish at something like that.
This task has been added to site a long time ago but I want to use this formula (only if it's possible) and I want to show my way of thinking there.
linear-algebra dimension-theory
linear-algebra dimension-theory
edited Jan 6 at 23:15
VirtualUser
asked Jan 6 at 9:59
VirtualUserVirtualUser
68912
68912
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1 Answer
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$begingroup$
Hint: remember that, given a linear transformation $F:Yrightarrow X$ between finite dimensional linear spaces, then you have the rank-nullity theorem:
$$text{dim}(Y) = text{dim}(ker(F)) +text{dim}(text{im}(F))$$
which yields two consequences:
$text{dim(im}(F))leq text{dim}(Y)$;
$text{dim(im}(F)) = text{dim}(Y)$ if and only if $text{dim}(ker(F))=0$, i.e. if and only if $F$ is a monomorphism.
Item 1 helps you with proving $text{dim}(X)leq 2cdot text{dim}(Y)$ while item 2 is needed for the second part of your question.
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Hint: remember that, given a linear transformation $F:Yrightarrow X$ between finite dimensional linear spaces, then you have the rank-nullity theorem:
$$text{dim}(Y) = text{dim}(ker(F)) +text{dim}(text{im}(F))$$
which yields two consequences:
$text{dim(im}(F))leq text{dim}(Y)$;
$text{dim(im}(F)) = text{dim}(Y)$ if and only if $text{dim}(ker(F))=0$, i.e. if and only if $F$ is a monomorphism.
Item 1 helps you with proving $text{dim}(X)leq 2cdot text{dim}(Y)$ while item 2 is needed for the second part of your question.
$endgroup$
add a comment |
$begingroup$
Hint: remember that, given a linear transformation $F:Yrightarrow X$ between finite dimensional linear spaces, then you have the rank-nullity theorem:
$$text{dim}(Y) = text{dim}(ker(F)) +text{dim}(text{im}(F))$$
which yields two consequences:
$text{dim(im}(F))leq text{dim}(Y)$;
$text{dim(im}(F)) = text{dim}(Y)$ if and only if $text{dim}(ker(F))=0$, i.e. if and only if $F$ is a monomorphism.
Item 1 helps you with proving $text{dim}(X)leq 2cdot text{dim}(Y)$ while item 2 is needed for the second part of your question.
$endgroup$
add a comment |
$begingroup$
Hint: remember that, given a linear transformation $F:Yrightarrow X$ between finite dimensional linear spaces, then you have the rank-nullity theorem:
$$text{dim}(Y) = text{dim}(ker(F)) +text{dim}(text{im}(F))$$
which yields two consequences:
$text{dim(im}(F))leq text{dim}(Y)$;
$text{dim(im}(F)) = text{dim}(Y)$ if and only if $text{dim}(ker(F))=0$, i.e. if and only if $F$ is a monomorphism.
Item 1 helps you with proving $text{dim}(X)leq 2cdot text{dim}(Y)$ while item 2 is needed for the second part of your question.
$endgroup$
Hint: remember that, given a linear transformation $F:Yrightarrow X$ between finite dimensional linear spaces, then you have the rank-nullity theorem:
$$text{dim}(Y) = text{dim}(ker(F)) +text{dim}(text{im}(F))$$
which yields two consequences:
$text{dim(im}(F))leq text{dim}(Y)$;
$text{dim(im}(F)) = text{dim}(Y)$ if and only if $text{dim}(ker(F))=0$, i.e. if and only if $F$ is a monomorphism.
Item 1 helps you with proving $text{dim}(X)leq 2cdot text{dim}(Y)$ while item 2 is needed for the second part of your question.
answered Jan 6 at 15:31
F.BattistoniF.Battistoni
515
515
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