Chapter 12: Q. 39 (page 954)
In Exercises , show that the directional derivative of the given function at the specified point is zero for every unit vector .
Short Answer
The given function's directional derivative is.
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Chapter 12: Q. 39 (page 954)
In Exercises , show that the directional derivative of the given function at the specified point is zero for every unit vector .
The given function's directional derivative is.
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In Exercises, find the maximum and minimum of the function f subject to the given constraint. In each case explain why the maximum and minimum must both exist.
Construct examples of the thing(s) described in
the following.
Try to find examples that are different than
any in the reading.
(a) A function z = f(x, y) for which ∇f(0, 0) = 0 but f is
not differentiable at (0, 0).
(b) A function z = f(x, y) for which ∇f(0, 0) = 0 for every
point in R2.
(c) A function z = f(x, y) and a unit vector u such that
Du f(0, 0) = ∇f(0, 0) · u.
Solve the exact differential equations in Exercises 63–66.
Gradients: Find the gradient of the given function, and find the direction in which the function increases most rapidly at the specified point P.
f(x, y ,z) = ln(x + y + z), P = (e, 0, −1) .
Given a function of n variables, and a constraint equation, how many equations would we obtain if we tried to optimize f by the method of Lagrange multipliers?
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