[tex]U+W=\{u+w:\, u\in U,w\in W\}[/tex]
Writing this means that: U + W is the set of the sum of
all possible 2 vectors, of which one is taken out from U, and the other from W, i.e:
- If u is some vector of U, and w is some vector of W, then [itex]u + w \in U + W[/itex]. (1)
- And if v is some vector of U + W, then it can be split into the sum of 2 vectors, one in U, and one in W. That is: [tex]v \in U + W \Rightarrow \exists u \in U, w \in W : v = u + w[/itex] <b>(2)</b>.[/tex]
[tex]
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PhillipKP said:
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<h2>The Attempt at a Solution</h2><br />
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1. Since [tex]U[/tex] and [tex]W[/tex] both contain the additive identity, [tex]U+W[/tex] contains the additive identity
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Ok, this is good, but you really need to <b>show</b> why it contains the additive identity, instead of just reasoning like that. You can go like this:<br />
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Since U, and W are subspaces, that means:<br />
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[tex]\left\{ \begin{array}{c} 0 \in U \\ 0 \in W \end{array} \right. \Rightarrow 0 = 0 + 0 \in U + V[/tex] <u>(due to <b>(1)</b>)</u> (the underline part is just for you to understand why)<br />
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3. Since both [tex]U[/tex] and [tex]W[/tex] are closed under scalar multiplication, any combination of [tex]u+w[/tex] is closed under scalar multiplication since multiplication is distributive, associative and commutes (assuming were dealing with the reals here).
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As I said above, you should make this part clearer.<br />
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I'm having a hard time thinking about how to justify that U+W is closed under addition.
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Just start out as normal. So, what you want is to prove that:<br />
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[tex]\forall v_1 \in U + W, v_2 \in U + W[/tex], we must have [tex]v_1 + v_2 \in U + W[/tex]<br />
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Hint: Use <b>(2)</b>, and the fact that both U, and W are already subspaces. :)<br />
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The same proof goes for "<i>closed under scalar multiplication</i>".[/tex]