16. Max-Min Problems

Global maxima and minima were previously defined for functions of \(1\) variable and functions of \(2\) variables. We now want to discuss how to find them.

c. Global Max-Min Problems

A global maximum (resp. global minimum) of a function, \(f\), occurs at a point, \(P\) where the function value \(f(P)\) takes on the absolutely largest (resp. smallest) value for any point in the domain of the function.
A global maximum (resp. global minimum) is also called an absolute maximum (resp. absolute minimum). Together, minima and maxima are called extrema.

One finds the global maxima and minima by evaluating the function at each critical point in the interior of the region and at each critical point on the boundary of the region. The largest of these is the global maximum. The smallest if the global minimum.

In Calculus 1, when we looked at a function of \(1\) variable defined on an interval, we found all critical points in the interval and then checked the endpoints. We now look at functions of \(2\) or \(3\) variables.

Find the largest and smallest values of the function \(f(x,y)=6xy-2x^2y-xy^2\) inside or on the rectangle \(-4 \le x \le 4\) and \(-3 \le y \le 3\).

The graphic shows a rectangle in the xy plane, with x ranging
    from -4 to 4 and y ranging from -3 to 3.

We first need to find all critical points in the interior. We set the partial derivatives equal to \(0\): \[\begin{aligned} f_x&=6y-4xy-y^2&=0 \qquad \text{(1)} \\ f_y&=6x-2x^2-2xy&=0 \qquad \text{(2)} \end{aligned}\] Equation (1) says \(y=0\) or \(4x+y=6\). Equation (2) says \(x=0\) or \(x+y=3\). So we look at \(4\) cases:

We now need to check the boundary of the rectangle. There are \(4\) edges. We evaluate the function \(f(x,y)=6xy-2x^2y-xy^2\) on each edge and find the critical points.

Finally, we now need to check the endpoints of the edges which are the corners of the rectangle. We evaluate the function \(f(x,y)=6xy-2x^2y-xy^2\) at the corners.

The critical points are plotted at the right. We summarize the function values at all the critical points.

The graphic shows the same rectangle as the previous graphic.
    Plotted on the interior, edges, and corners of 
    the rectangle are the ten critical points of the given function.

\[\begin{aligned} f(0,0)=0 \qquad f(3,0)&=0 \qquad f(1,2)=4 \\ f(4,-1)=4 \qquad f\left(\dfrac{3}{4},3\right)&=\dfrac{27}{8} \qquad f\left(\dfrac{9}{4},-3\right)=-\,\dfrac{243}{8} \\ f(4,3)=-60 \qquad f(4,-3)=-12 \qquad &f(-4,3)=-132 \qquad f(-4,-3)=204 \end{aligned}\] So the absolute maximum is \(204\) at \((-4,-3)\) and the absolute minimum is \(-132\) at \((-4,3)\).

We check the absolute maximum and minimum are reasonable by superimposing the contour plot of \(f(x,y)=6xy-2x^2y-xy^2\) on the plot of the critical points.

The graphic shows the same rectangle with critical points from the
    previous graphic. Superimposed on the rectangle are multiple countour
    curves of the given function. The contour with value 204 passes through the
    bottom left corner which is the maximum of the function. The contour with
    value -132 passes through the top left corner which is the minimum.

Find the locations and values of the global maximum and minimum of the function \(f(x,y)=4x+2y-x^2-y^2\) inside or on the triangle with vertices \((0,0)\), \((3,0)\) and \((3,3)\).

The graphic shows a plot in the xy-plane of a triangle with 
    vertices (0,0), (3,0), and (3,3).

The edge between \((0,0)\) and \((3,3)\) is \(y=x\).

The absolute maximum is \(5\) at \((2,1)\) and the absolute minimum is \(0\) at \((0,0)\) and \((3,3)\).

We first find all critical points in the interior. We set the partial derivatives equal to \(0\): \[\begin{aligned} f_x&=4-2x&=0 \quad \Rightarrow \quad x=2 \\ f_y&=2-2y&=0 \quad \Rightarrow \quad y=1 \end{aligned}\] So the only critical point is \((x,y)=(2,1)\) and the function value is \(f(2,1)=4(2)+2(1)-(2)^2-(1)^2=5\).

We now check the boundary of the triangle. There are \(3\) edges. We evaluate the function \(f(x,y)=4x+2y-x^2-y^2\) on each edge and find the critical points.

  • Edge 1: \(y=0\):
    The function becomes \(f(x,0)=4x-x^2\). We find the critical point: \(f_x=4-2x=0\) or \(x=2\). The critical point is \((x,y)=(2,0)\) and the function value is \(f(2,0)=4(2)-2^2=4\).
  • Edge 2: \(x=3\):
    The function becomes \(f(3,y)=2y-y^2+3\). We find the critical point: \(f_y=2-2y=0\) or \(y=1\). The critical point is \((x,y)=(3,1)\) and the function value is \(f(3,1)=2(1)-1^2+3=4\).
  • Edge 3: \(y=x\):
    The function becomes \(f(x,x)=6x-2x^2\). We find the critical point: \(f_x=6-4x=0\) or \(x=\dfrac{3}{2}\). The critical point is \((x,y)=\left(\dfrac{3}{2},\dfrac{3}{2}\right)\) and the function value is \(f\left(\dfrac{3}{2},\dfrac{3}{2}\right) =6\left(\dfrac{3}{2}\right)-2\left(\dfrac{3}{2}\right)^2 =\dfrac{9}{2}\).

Finally, we now check the corners of the triangle. We evaluate the function \(f(x,y)=4x+2y-x^2-y^2\) at the corners.

  • Corner 1: \((x,y)=(0,0)\):
    The function value is \(f(0,0)=0\).
  • Corner 2: \((x,y)=(3,0)\):
    The function value is \(f(3,0)=4(3)+2(0)-(3)^2-(0)^2=3\).
  • Corner 3: \((x,y)=(3,3)\):
    The function value is \(f(3,3)=4(3)+2(3)-(3)^2-(3)^2=0\).

The critical points are plotted at the right. We summarize the function values at all the critical points.

The graphic shows the same triangle 
      from the previous graphic. Plotted on the interior, edges, and corners of 
      the triangle are the seven critical points of the given function.

\[\begin{aligned} f(2,1)=5 \qquad f(2,0)=4 \qquad &f(3,1)=4 \qquad f\left(\dfrac{3}{2},\dfrac{3}{2}\right)=\dfrac{9}{2} \\ f(0,0)=0 \qquad f(3,0)&=3 \qquad f(3,3)=0 \end{aligned}\] So the absolute maximum is \(5\) at \((2,1)\) and the absolute minimum is \(0\) at \((0,0)\) and \((3,3)\).

We check the absolute maximum and minimum are reasonable by superimposing the contour plot of \(f(x,y)=4x+2y-x^2-y^2\) on the plot of the critical points.

The graphic shows the same triangle 
      with critical points from the previous graphic. Plotted over the triangle
      are multiple circular countour lines of the given function. The minimums
      are at the bottom left and top right corners of the triangle with value
      0 and the maximum is at the center of all the contour circles inside the
      triangle.

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