Multivariable Calculus · free preview

3.10 Optimization (continued)

What properties will a local maximum or minimum of $f(x,y)$ have?

1. Optimization on a Restricted Domain

Optimization on a Restricted Domain

2. Consider a heated ci…

Consider a heated circular plate of radius 1 meter with location on the plate described relative to the center. The domain R={(x,y):x2+y2≤1}R=\{(x,y):x^2+y^2 \leq 1\} of our temperature function is a closed and bounded region, as shown in Figure.

Suppose the temperature TT at each point on the circular plate x2+y2≤1x^2+y^2 \leq 1 is given by

T(x,y)=2x2+y2−yT(x,y) = 2x^2+y^2-y

. We would like to find the absolute maximum and absolute minimum temperature of the circular plate.

Because the domain of TT is closed and bounded, the Extreme Value Theorem guarantees that TT has an absolute maximum and minimum on the plate. The graph of TT over its domain RR is shown in Figure. We will find the hottest and coldest points on the plate.

If the absolute maximum or absolute minimum occurs inside the disk, then the absolute extreme point will be at a critical point. We begin by looking for critical points inside the disk. To do this, notice that critical points are given by the conditions Tx=4x=0T_x= 4x=0 and Ty=2y−1=0T_y=2y - 1=0. This means that there is one critical point of the function at the point (x0,y0)=(0,1/2)(x_0,y_0) =(0,1/2), which does lie inside the disk.

We now find the hottest and coldest points on the boundary of the disk, which is the circle of radius 1. To turn this into a single-variable calculus problem, we use the familiar parameterization of the unit circle as

x(t)=cos⁡(t), y(t)=sin⁡(t),x(t) = \cos(t), \ y(t) = \sin(t),

where 0≤t≤2π0\leq t \leq 2\pi. The temperature at a point on the circle is then described by

T(x(t),y(t))=2cos⁡2(t)+sin⁡2(t)−sin⁡(t)T(x(t), y(t)) = 2\cos^2(t) + \sin^2(t) - \sin(t)

.

To find the hottest and coldest points on the boundary, we look for the critical points of this single-variable function on the interval 0≤t≤2π0\leq t\leq 2\pi. We have

dTdt=−4cos⁡(t)sin⁡(t)+2cos⁡(t)sin⁡(t)−cos⁡(t)=−2cos⁡(t)sin⁡(t)−cos⁡(t)=cos⁡(t)(−2sin⁡(t)−1)\begin{aligned} \frac{dT}{dt} & = -4\cos(t)\sin(t) + 2\cos(t)\sin(t) -\cos(t) \\ & = -2\cos(t)\sin(t) - \cos(t) = \cos(t) (-2\sin(t) - 1) \end{aligned}

Therefore, we need to identify the points where cos⁡(t)(−2sin⁡(t)−1)=0\cos(t) (-2\sin(t) - 1) =0. These happen when cos⁡(t)=0\cos(t) = 0 or sin⁡(t)=−1/2\sin(t) = -1/2 on the interval 0≤t≤2π0\leq t\leq 2\pi. This occurs when t=π/2t=\pi/2, 3π/23\pi/2, 7π/67\pi/6, and 11π/611\pi/6. Since x(t)=cos⁡(t)x(t) = \cos(t) and y(t)=sin⁡(t)y(t) = \sin(t), the corresponding points are -(x,y)=(0,1)(x,y) = (0,1) when t=π2t = \frac{\pi}{2}-(x,y)=(32,−12)(x,y) = \left(\frac{\sqrt{3}}{2},-\frac{1}{2}\right) when t=11π6t = \frac{11\pi}{6}-(x,y)=(0,−1)(x,y) = (0,-1) when t=3π2t = \frac{3\pi}{2}-(x,y)=(−32,−12)(x,y) = \left(-\frac{\sqrt{3}}{2},-\frac{1}{2}\right) when t=7π6t = \frac{7\pi}{6} These are the critical points of TT on the boundary which means that this collection of points includes the hottest and coldest points on the boundary.

We now have a list of candidates for the hottest and coldest points: the critical point in the interior of the disk and the critical points on the boundary. We find the hottest and coldest points by evaluating the temperature at each of these points, and find that -T(0,12)=−14T\left(0,\frac{1}{2}\right) = -\frac{1}{4}-T(−32,−12)=94T\left(-\frac{\sqrt{3}}{2},-\frac{1}{2}\right) = \frac{9}{4}-T(0,1)=0T\left(0,1\right) = 0-T(−32,−12)=94T\left(-\frac{\sqrt{3}}{2},-\frac{1}{2}\right) = \frac{9}{4}-T(0,−1)=2T\left(0,-1\right) = 2 Hence, the maximum temperature on the disk x2+y2≤1x^2+y^2\leq 1 is 94\frac{9}{4}, which occurs at the two points (±32,−12)\left(\pm\frac{\sqrt{3}}{2},-\frac{1}{2}\right) on the boundary, and the minimum value of TT on the disk is −14-\frac{1}{4} which occurs at the critical point (0,12)\left(0,\frac{1}{2}\right) in the interior of RR.

3. Find all of the crit…

Find all of the critical points of ff in RR.

4. Parameterize the edg…

Parameterize the edge of RR that is on the xx-axis and find the critical points of ff on that edge.

5. Parameterize the edg…

Parameterize the edge of RR that is on the yy-axis and find the critical points of ff on that edge.

6. Parameterize the dia…

Parameterize the diagonal edge of RR and find the critical points of ff on that edge.

7. Find the absolute ma…

Find the absolute maximum and absolute minimum values of ff on RR. Write a couple of sentences to describe how the surface plot of ff shown below illustrates your results.

8. If a continuous func…

If a continuous function ff of a single variable has two critical numbers c1c_1 and c2c_2 at which ff has relative maximum values, then ff must have another critical number c3c_3, because “it is impossible to have two mountains without some sort of valley in between. The other critical point can be a saddle point (a pass between the mountains) or a local minimum (a true valley).” (From Calculus in Vector Spaces by Lawrence J. Corwin and Robert H. Szczarb.) Consider the function ff defined by f(x,y)=4x2ey−2x4−e4yf(x,y) = 4x^2e^y -2x^4 -e^{4y}. (From Ira Rosenholz in the Problems Section of the Mathematics Magazine, Vol. 60 NO. 1, February 1987.) Show that ff has exactly two critical points, and that ff has relative maximum values at each of these critical points. Explain how this function ff illustrates that it really is possible to have two mountains without some sort of valley in between. Use appropriate technology to draw the surface defined by ff to see graphically how this happens.

9. If a continuous func…

If a continuous function ff of a single variable has exactly one critical number with a relative maximum at that critical point, then the value of ff at that critical point is an absolute maximum. In this exercise we see that the same is not always true for functions of two variables. Let f(x,y)=3xey−x3−e3yf(x,y) = 3xe^y-x^3-e^{3y} (from “The Only Critical Point in Town” Test by Ira Rosenholz and Lowell Smylie in the Mathematics Magazine, VOL 58 NO 3 May 1985.). Show that ff has exactly one critical point, has a relative maximum value at that critical point, but that ff has no absolute maximum value. Use appropriate technology to draw the surface defined by ff to see graphically how this happens.

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