Calculus (3rd Edition)

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

Chapter 15 - Differentiation in Several Variables - Chapter Review Exercises - Page 835: 37

Answer

The unit vector ${\bf{e}}$ at $P = \left( {0,0,1} \right)$ pointing in the direction along which $f\left( {x,y,z} \right) = xz + {{\rm{e}}^{ - {x^2} + y}}$ increases most rapidly is ${\bf{e}} = \left( {\frac{1}{{\sqrt 2 }},\frac{1}{{\sqrt 2 }},0} \right)$.

Work Step by Step

We have $f\left( {x,y,z} \right) = xz + {{\rm{e}}^{ - {x^2} + y}}$ and the point $P = \left( {0,0,1} \right)$. By Theorem 4 of Section 15.5, $\nabla {f_P}$ points in the direction of maximum rate of increase of $f$ at $P$. So, we compute the gradient of $f$: $\nabla f = \left( {z - 2x{{\rm{e}}^{ - {x^2} + y}},{{\rm{e}}^{ - {x^2} + y}},x} \right)$ At $P = \left( {0,0,1} \right)$ we have $\nabla {f_P} = \left( {1,1,0} \right)$. Thus, the unit vector of $\nabla {f_P}$ is ${\bf{e}} = \frac{{\left( {1,1,0} \right)}}{{\sqrt {\left( {1,1,0} \right)\cdot\left( {1,1,0} \right)} }} = \left( {\frac{1}{{\sqrt 2 }},\frac{1}{{\sqrt 2 }},0} \right)$ Hence, the unit vector ${\bf{e}}$ at $P = \left( {0,0,1} \right)$ pointing in the direction along which $f\left( {x,y,z} \right) = xz + {{\rm{e}}^{ - {x^2} + y}}$ increases most rapidly is ${\bf{e}} = \left( {\frac{1}{{\sqrt 2 }},\frac{1}{{\sqrt 2 }},0} \right)$.
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