Calculus (3rd Edition)

Published by W. H. Freeman
ISBN 10: 1464125260
ISBN 13: 978-1-46412-526-3

Chapter 13 - Vector Geometry - 13.3 Dot Product and the Angle Between Two Vectors - Exercises - Page 667: 76

Answer

The projection of $\overrightarrow {AD} $ along $\overrightarrow {AB} $ is $\left( {\frac{1}{2},0, - \frac{1}{2}} \right)$.

Work Step by Step

From Figure 16, we have $A = \left( {0,0,1} \right)$, $B = \left( {1,0,0} \right)$, $D = \left( {0,1,0} \right)$. Write ${\bf{u}} = \overrightarrow {AD} $ and ${\bf{v}} = \overrightarrow {AB} $. So, ${\bf{u}} = \overrightarrow {AD} = D - A = \left( {0,1,0} \right) - \left( {0,0,1} \right) = \left( {0,1, - 1} \right)$ ${\bf{v}} = \overrightarrow {AB} = B - A = \left( {1,0,0} \right) - \left( {0,0,1} \right) = \left( {1,0, - 1} \right)$ By Eq. (4) of Theorem 3, the projection of ${\bf{u}} = \overrightarrow {AD} $ along ${\bf{v}} = \overrightarrow {AB} $ is the vector ${{\bf{u}}_{||{\bf{v}}}}$ given by ${{\bf{u}}_{||{\bf{v}}}} = \left( {\frac{{{\bf{u}}\cdot{\bf{v}}}}{{{\bf{v}}\cdot{\bf{v}}}}} \right){\bf{v}}$ ${{\bf{u}}_{||{\bf{v}}}} = \left( {\frac{{\left( {0,1, - 1} \right)\cdot\left( {1,0, - 1} \right)}}{{\left( {1,0, - 1} \right)\cdot\left( {1,0, - 1} \right)}}} \right)\left( {1,0, - 1} \right)$ ${{\bf{u}}_{||{\bf{v}}}} = \left( {\frac{1}{2}} \right)\left( {1,0, - 1} \right) = \left( {\frac{1}{2},0, - \frac{1}{2}} \right)$ Thus, the projection of ${\bf{u}} = \overrightarrow {AD} $ along ${\bf{v}} = \overrightarrow {AB} $ is $\left( {\frac{1}{2},0, - \frac{1}{2}} \right)$.
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