Calculus (3rd Edition)

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

Chapter 15 - Differentiation in Several Variables - 15.8 Lagrange Multipliers: Optimizing with a Constraint - Preliminary Questions - Page 830: 1

Answer

Statement (b) is true.

Work Step by Step

By Theorem 1, there is a scalar $\lambda$ such that $\nabla {f_P} = \lambda \nabla {g_P}$. This implies that $\nabla {f_P}$ is parallel to $\nabla {g_P}$. Since $\nabla {g_P}$ is orthogonal to $g\left( {x,y} \right) = 0$ at $P$, it follows that $\nabla {f_P}$ is orthogonal to $g\left( {x,y} \right) = 0$ at $P$. So, statement (b) is true.
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