12-240/Classnotes for Tuesday October 23: Difference between revisions

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{{12-240/Navigation}}
{{12-240/Navigation}}
= ===
Definition: L(V,W) is the set of all linear transformation L: V->W
Definition: L(V,W) is the set of all linear transformation L: V->W


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== Lecture notes scanned by [[User:KJMorenz|KJMorenz]] ==
== Lecture notes scanned by [[User:KJMorenz|KJMorenz]] ==
<gallery>
<gallery>
Image:12-240-Oct30.jpg
Image:12-240-Oct30.jpg|Oct 30 Page 1
Image:12-240-Oct30-2.jpg
Image:12-240-Oct30-2.jpg|Oct 30 Page 2
Image:12-240-Oct2.jpg
Image:12-240-Oct2.jpg|Oct 2 Page 1
Image:12-240-Oct2-2.jpg
Image:12-240-Oct2-2.jpg|Oct 2 Page 2
Image:12-240-Oct2-3.jpg
Image:12-240-Oct2-3.jpg|Oct 2 Page 3
Image:12-240-Oct2-4.jpg
Image:12-240-Oct2-4.jpg|Oct 2 Page 4
Image:12-240-Basis.jpg|Basis of a Vector Space
Image:12-240-TutOct4.jpg|Tutorial Oct 4
</gallery>
</gallery>

Latest revision as of 06:37, 22 October 2014

Definition: L(V,W) is the set of all linear transformation L: V->W

u V, 0 of L(V,W) (u)=0 of W (this is a l.t.str)

If L1 and L2 L(V,W), (L1 + L2) (u)= L1(u) +L2(u) (this is a l.t.str)

If c F and L L(V,W), (c*L) (u)= c*L(u) (this is a l.t.str)

Theorem: L(V,W) is a vector space

Proof: "Distributivity" c(x+y)=cx+cy

In our case need to show c(L1 + L2)= cL1 + cL2

Where c F and L1 and L2 L(V,W)

(LHS) (u)

Lecture notes scanned by Zetalda

Lecture notes scanned by KJMorenz