Proof of $mathcal{L}(V,W)$ is a vector space












2












$begingroup$


To prove whether something is a vector space, my understand is to prove the following properties: commutativity, associativity, additive identity, additive inverse, multiplicative identity, distributive properties. However, in the answer, it tries to prove closed under addition, close under scalar multiplication.




enter image description here




are those conditions for a subspace?










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$endgroup$












  • $begingroup$
    You are right that in the proof, they do not check commutativity, associativity etc. The picture you included shows that the vector space operations of addition and scalar multiplication $$L(V,W) times L(V,W) rightarrow L(V,W), (T,S) mapsto T+S$$ $$mathbb F times L(V,W) rightarrow L(V,W), (lambda,T) mapsto lambda T$$ are well defined functions. This is the hardest part of showing that $L(V,W)$ is a vector space. You should check the other properties yourself.
    $endgroup$
    – D_S
    Jan 13 at 22:20
















2












$begingroup$


To prove whether something is a vector space, my understand is to prove the following properties: commutativity, associativity, additive identity, additive inverse, multiplicative identity, distributive properties. However, in the answer, it tries to prove closed under addition, close under scalar multiplication.




enter image description here




are those conditions for a subspace?










share|cite|improve this question











$endgroup$












  • $begingroup$
    You are right that in the proof, they do not check commutativity, associativity etc. The picture you included shows that the vector space operations of addition and scalar multiplication $$L(V,W) times L(V,W) rightarrow L(V,W), (T,S) mapsto T+S$$ $$mathbb F times L(V,W) rightarrow L(V,W), (lambda,T) mapsto lambda T$$ are well defined functions. This is the hardest part of showing that $L(V,W)$ is a vector space. You should check the other properties yourself.
    $endgroup$
    – D_S
    Jan 13 at 22:20














2












2








2





$begingroup$


To prove whether something is a vector space, my understand is to prove the following properties: commutativity, associativity, additive identity, additive inverse, multiplicative identity, distributive properties. However, in the answer, it tries to prove closed under addition, close under scalar multiplication.




enter image description here




are those conditions for a subspace?










share|cite|improve this question











$endgroup$




To prove whether something is a vector space, my understand is to prove the following properties: commutativity, associativity, additive identity, additive inverse, multiplicative identity, distributive properties. However, in the answer, it tries to prove closed under addition, close under scalar multiplication.




enter image description here




are those conditions for a subspace?







linear-algebra






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share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Jan 13 at 22:38









caverac

14.6k31130




14.6k31130










asked Jan 13 at 22:15









JOHN JOHN

3499




3499












  • $begingroup$
    You are right that in the proof, they do not check commutativity, associativity etc. The picture you included shows that the vector space operations of addition and scalar multiplication $$L(V,W) times L(V,W) rightarrow L(V,W), (T,S) mapsto T+S$$ $$mathbb F times L(V,W) rightarrow L(V,W), (lambda,T) mapsto lambda T$$ are well defined functions. This is the hardest part of showing that $L(V,W)$ is a vector space. You should check the other properties yourself.
    $endgroup$
    – D_S
    Jan 13 at 22:20


















  • $begingroup$
    You are right that in the proof, they do not check commutativity, associativity etc. The picture you included shows that the vector space operations of addition and scalar multiplication $$L(V,W) times L(V,W) rightarrow L(V,W), (T,S) mapsto T+S$$ $$mathbb F times L(V,W) rightarrow L(V,W), (lambda,T) mapsto lambda T$$ are well defined functions. This is the hardest part of showing that $L(V,W)$ is a vector space. You should check the other properties yourself.
    $endgroup$
    – D_S
    Jan 13 at 22:20
















$begingroup$
You are right that in the proof, they do not check commutativity, associativity etc. The picture you included shows that the vector space operations of addition and scalar multiplication $$L(V,W) times L(V,W) rightarrow L(V,W), (T,S) mapsto T+S$$ $$mathbb F times L(V,W) rightarrow L(V,W), (lambda,T) mapsto lambda T$$ are well defined functions. This is the hardest part of showing that $L(V,W)$ is a vector space. You should check the other properties yourself.
$endgroup$
– D_S
Jan 13 at 22:20




$begingroup$
You are right that in the proof, they do not check commutativity, associativity etc. The picture you included shows that the vector space operations of addition and scalar multiplication $$L(V,W) times L(V,W) rightarrow L(V,W), (T,S) mapsto T+S$$ $$mathbb F times L(V,W) rightarrow L(V,W), (lambda,T) mapsto lambda T$$ are well defined functions. This is the hardest part of showing that $L(V,W)$ is a vector space. You should check the other properties yourself.
$endgroup$
– D_S
Jan 13 at 22:20










1 Answer
1






active

oldest

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3












$begingroup$

You are 100% correct. It's an easy trap to fall into, to only verify the subspace conditions instead of all the many conditions for a full vector space, but just verifying subspace conditions is definitely not enough! I've seen countless students (as well as a few teachers) fall into this trap.



Now, there is one potential saving grace here: perhaps it was proven that the set $W^V$ of functions from $V$ to $W$ (linear or not) is a vector space. That is, $W^V$ under the given operations, all of the 8 or so properties of vector spaces were proven previously. Then, proving $mathcal{L}(V, W)$ is a subspace $W^V$ is a valid way of proving $mathcal{L}(V, W)$ is a vector space in its own right, as it will inherit almost all the properties from $W^V$.



But otherwise, the proof is incorrect.






share|cite|improve this answer









$endgroup$









  • 1




    $begingroup$
    Note also that the alleged "proof" above didn't even check all the subspace conditions. The existence of zero vector is also important.
    $endgroup$
    – BigbearZzz
    Jan 13 at 23:02











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1 Answer
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active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

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active

oldest

votes









3












$begingroup$

You are 100% correct. It's an easy trap to fall into, to only verify the subspace conditions instead of all the many conditions for a full vector space, but just verifying subspace conditions is definitely not enough! I've seen countless students (as well as a few teachers) fall into this trap.



Now, there is one potential saving grace here: perhaps it was proven that the set $W^V$ of functions from $V$ to $W$ (linear or not) is a vector space. That is, $W^V$ under the given operations, all of the 8 or so properties of vector spaces were proven previously. Then, proving $mathcal{L}(V, W)$ is a subspace $W^V$ is a valid way of proving $mathcal{L}(V, W)$ is a vector space in its own right, as it will inherit almost all the properties from $W^V$.



But otherwise, the proof is incorrect.






share|cite|improve this answer









$endgroup$









  • 1




    $begingroup$
    Note also that the alleged "proof" above didn't even check all the subspace conditions. The existence of zero vector is also important.
    $endgroup$
    – BigbearZzz
    Jan 13 at 23:02
















3












$begingroup$

You are 100% correct. It's an easy trap to fall into, to only verify the subspace conditions instead of all the many conditions for a full vector space, but just verifying subspace conditions is definitely not enough! I've seen countless students (as well as a few teachers) fall into this trap.



Now, there is one potential saving grace here: perhaps it was proven that the set $W^V$ of functions from $V$ to $W$ (linear or not) is a vector space. That is, $W^V$ under the given operations, all of the 8 or so properties of vector spaces were proven previously. Then, proving $mathcal{L}(V, W)$ is a subspace $W^V$ is a valid way of proving $mathcal{L}(V, W)$ is a vector space in its own right, as it will inherit almost all the properties from $W^V$.



But otherwise, the proof is incorrect.






share|cite|improve this answer









$endgroup$









  • 1




    $begingroup$
    Note also that the alleged "proof" above didn't even check all the subspace conditions. The existence of zero vector is also important.
    $endgroup$
    – BigbearZzz
    Jan 13 at 23:02














3












3








3





$begingroup$

You are 100% correct. It's an easy trap to fall into, to only verify the subspace conditions instead of all the many conditions for a full vector space, but just verifying subspace conditions is definitely not enough! I've seen countless students (as well as a few teachers) fall into this trap.



Now, there is one potential saving grace here: perhaps it was proven that the set $W^V$ of functions from $V$ to $W$ (linear or not) is a vector space. That is, $W^V$ under the given operations, all of the 8 or so properties of vector spaces were proven previously. Then, proving $mathcal{L}(V, W)$ is a subspace $W^V$ is a valid way of proving $mathcal{L}(V, W)$ is a vector space in its own right, as it will inherit almost all the properties from $W^V$.



But otherwise, the proof is incorrect.






share|cite|improve this answer









$endgroup$



You are 100% correct. It's an easy trap to fall into, to only verify the subspace conditions instead of all the many conditions for a full vector space, but just verifying subspace conditions is definitely not enough! I've seen countless students (as well as a few teachers) fall into this trap.



Now, there is one potential saving grace here: perhaps it was proven that the set $W^V$ of functions from $V$ to $W$ (linear or not) is a vector space. That is, $W^V$ under the given operations, all of the 8 or so properties of vector spaces were proven previously. Then, proving $mathcal{L}(V, W)$ is a subspace $W^V$ is a valid way of proving $mathcal{L}(V, W)$ is a vector space in its own right, as it will inherit almost all the properties from $W^V$.



But otherwise, the proof is incorrect.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Jan 13 at 22:51









Theo BenditTheo Bendit

18.3k12152




18.3k12152








  • 1




    $begingroup$
    Note also that the alleged "proof" above didn't even check all the subspace conditions. The existence of zero vector is also important.
    $endgroup$
    – BigbearZzz
    Jan 13 at 23:02














  • 1




    $begingroup$
    Note also that the alleged "proof" above didn't even check all the subspace conditions. The existence of zero vector is also important.
    $endgroup$
    – BigbearZzz
    Jan 13 at 23:02








1




1




$begingroup$
Note also that the alleged "proof" above didn't even check all the subspace conditions. The existence of zero vector is also important.
$endgroup$
– BigbearZzz
Jan 13 at 23:02




$begingroup$
Note also that the alleged "proof" above didn't even check all the subspace conditions. The existence of zero vector is also important.
$endgroup$
– BigbearZzz
Jan 13 at 23:02


















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