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Multivariate Calculus - Bruce E. Shapiro

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LECTURE 2. VECTORS IN 3D 11<br />

Figure 2.2: Scalar multiplication.<br />

Scalar multiplication changes the length of a vector, as illustrated in figure 2.2. As<br />

a consequence of definitions 2.3 and 2.4, we also conclude that<br />

0 = (0, 0, 0) (2.9)<br />

Definition 2.6 Vector additive inverse or the negative of a vector. Suppose<br />

that v = (v x , v y , v z ). Then<br />

−v = (−1)v = (−v x , −v y , −v z ) (2.10)<br />

Figure 2.3: Illustration of vector addition. Top: the three vectors u, v, and w =<br />

u + v. Bottom: vector addition, and illustration of commutative law for vector<br />

addition: u + v = v + u.<br />

Vector addition, illustrated in figure 2.3 proceeds as follows: Join the two<br />

vectors head to tail as show in the figure to the right and then draw the arrow from<br />

the tail to the head. Addition is commutative: the order in which the vectors are<br />

added does not matter. A vector sum can be calculated component-by-component;<br />

suppose that v = (v x , v y , v z ) and u = (u x , u y , u z ). Then<br />

u + v = (u x , u y , u z ) + (v x , v y , v z ) = (u x + v x , u y + v y , u z + v z ) (2.11)<br />

Vector subtraction is similar, and is induced by the idea that we want<br />

v − u = v + −u (2.12)<br />

Math 250, Fall 2006 Revised December 6, 2006.

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