In Problems 1–6, find the gradient and directional derivative of each function at the indicated point in the direction of \(\mathbf{a}\).
\(f(x,y)=\ln (\sec (x^{2}+y^{2}))\) at \(\left( \sqrt{\dfrac{\pi }{8}},\sqrt{\dfrac{\pi }{8}}\right) ; \mathbf{a}=\mathbf{i}+\mathbf{j}\)
\(f(x,y)=\dfrac{x^{2}-y^{2}}{x^{2}+y^{2}}\) at \((1,1); \mathbf{a}=\mathbf{i}-\mathbf{j}\)
\(f(x,y)=y\sin ^{-1}x\) at \((0,1)\); \(\mathbf{a}=3\mathbf{i}+\mathbf{j}\)
\(f(x,y,z)=\ln (xyz)\) at \((1,1,3);\) \(\mathbf{a}=\mathbf{i}+\mathbf{j}+3\mathbf{k}\)
\(f(x,y,z)=ye^{-x}(x^{2}+y^{2}+z^{2}+1)\) at \((0,0,0);\) \(\mathbf{a}=2\mathbf{i}+\mathbf{j}+2\mathbf{k}\)
\(f(x,y,z)=(2x+y+z)^{2}+xyz\) at \((1,1,1);\) \(\mathbf{a}=-\mathbf{i}-\mathbf{j}-\mathbf{k}\)
In Problems 7–9:
\(f(x,y)=\sec (x^{2}+y^{2})\) at \(\left( \sqrt{\dfrac{\pi }{8}},\sqrt{\dfrac{\pi }{8}}\right) \)
\(f(x,y)=\dfrac{x^{2}-y^{2}}{x^{2}+y^{2}}\) at \((1,1) \)
\(f(x,y)=y\sin ^{-1}x\) at \((0,1)\)
In Problems 10–12:
\(x^{2}-y^{2}+z^{2}=4\) at \((-1,1,2)\)
\(2x^{2}+y^{2}=z\) at \((1,0,2)\)
\(f(x,y)=y\sin ^{-1}x\) at \(( 0,1) \)
In Problems 13–15, find the critical points of each function.
\(z=f(x,y)=x^{2}+xy+y^{2}+6x\)
\(z= f(x,y)=x^{3}-y^{3}+3xy\)
\(z=f( x,y) =xy\)
In Problems 16–18, use the Second Partial Derivative Test to find any local maxima, local minima, and saddle points for each function.
\(z=f( x,y) =xe^{xy}\)
\(z=f( x,y) =\sin x+\sin y\)
\(z=f( x,y) =x^{2}-9y+y^{2}\)
In Problems 19 and 20, find the absolute maximum and absolute minimum of \(f\) on the domian \(D\).
\(z=f( x,y) = x^{2}- 2xy +2y\), \(D\): \(0\le x \le 3, 0\le y\le 4\).
\(z=f( x,y) =3xy^{2}\), \(D\): \(x^{2}+y^{2}\leq 9\).
In Problems 21–24, use Lagrange multipliers to find the maximum and minimum values of \(f\) subject to the constraints \(g(x,y)=0\).
\(z=f( x,y) =5x^{2}+3y^{2}+xy\), \(g( x,y) =2x-y-20=0\)
\(z=f( x,y) =x\sqrt{y}\), \(g( x,y) =2x+y-3000=0\)
\(z=f( x,y) =x^{2}+y^{2}\), \(g( x,y) =2x+y-4=0\)
\(z=f( x,y) =xy^{2}\), \(g( x,y)=x^{2}+y^{2}-1=0\)
Heat Transfer A metal plate is placed on the \(xy\)-plane in such a way that the temperature \(T\) at any point \((x,y)\) is given by \(T = e^{y}(\sin x + \sin y)^{\circ}\) C.
Maximizing Profit A company produces two products at a total cost \(C( x,y) =x^{2}+200x+y^{2}+100y-xy,\) where \(x\) and \(y\) represent the units of each product sold. The revenue function is \(R( x,y) =2000x-2x^{2}+100y-y^{2}+xy\).
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Maximizing Profit A manufacturer introduces a new product with a Cobb–Douglas production function of \(P( x,y) = 10K^{0.3}L^{0.7},\) where \(K\) represents the units of capital and \(L\) the units of labor needed to produce \(P\) units of the product. A total of $51,000 has been budgeted for production. Each unit of labor costs the manufacturer $100 and each unit of capital costs $50.
Volume Find the volume of the largest rectangular solid that can be inscribed in the interior of the surface \[ \dfrac{x^{2}}{a^{2}}+\frac{y^{2}}{b^{2}}+\frac{z^{2}}{c^{2}}=1 \] if the sides of the solid are parallel to the axes.
Use Lagrange multipliers to find the points on the surface \(xyz=1\) closest to the origin.
Volume Use Lagrange multipliers to maximize the volume of a rectangular solid that has three faces on the coordinate planes and one vertex on the plane \(\dfrac{x}{a} +\dfrac{y}{b} +\dfrac{z}{c} =1,\)\(a>0,\)\(b>0,\)\(c>0.\)
Minimizing Cost The base of a rectangular box costs five times as much as do the other five sides. Use Lagrange multipliers to find the proportions of the dimensions for the cheapest possible box of volume \(V\).
Find the extreme values of \(f(x,y,z)=xyz\) subject to the constraints \(x^{2}+y^{2}=1\) and \(y=3z\).