Section 14.8 Maxima & minima of functions of two variables. Learning outcomes. After completing this section, you will inshaallah be able to

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Section 14.8 Maxima & minima of functions of two variables 14.8 1 Learning outcomes After completing this section, you will inshaallah be able to 1. explain what is meant by relative maxima or relative minima 2. explain what is meant by absolute maxima or absolute minima 3. find relative extrema of z=f(x,y) 4. find absolute extrema of z=f(x,y)

14.8 2 What are different types of extrema f ( xy, ) has a relative maximum at x y if f (, x y) f( x0, y all points near ( x0, y f ( xy, ) has a relative minimum at x y if f (, x y) f( x0, y all points near ( x0, y f ( xy, ) has an absolute maximum at x y if f (, x y) f( x0, y all the points in domain of f ( xy, ) f ( xy, ) has an absolute minimum at x y if f (, x y) f( x0, y all the points in domain of f ( xy, ) Main question: How to find relative or absolute extrema?

14.8 3 Finding relative extrema of z=f(x,y) STEP 1: Find critical points of f ( xy, ) A point x y is a critical point of (, ) f ( x, y ) = 0 and f ( x, y ) = 0 x y OR x y f xy if f ( x, y ) and/or f ( x, y ) do not exist. These are all possible candidates extrema i.e. all points where partial derivatives are zero or do not exist. STEP 2: Determine whether or not f ( xy, ) has extrema at critical points Find 1. If D > 0 and (, ) 0 xx D= f ( x, y ) f ( x, y ) f ( x, y ) 2 xx yy xy f x y > then (, ) 2. If D > 0 and (, ) 0 xx D < then (, ) 3. If 0 f x y < then (, ) x y is a relative minimum. x y is a saddle point. x y is a relative maximum. Second partials test See class explanation 4. If D = 0 then no conclusion can be drawn and other techniques would be needed. Example 14.8.1 Example 14.8.2 Find, if any, the relative extrema or saddle points of 3 3 f ( xy, ) 4 x y 3xy = + +. Show that the second partials test fails to find the extrema of f ( xy, ) x y 4 4 = +. Use some other way to find its relative Both Solutions Exercise maxima and minima (if any). Done in class. Find, if any, the relative extrema or saddle points of 2 3 f( x, y) = 3x y+ y 3x 3y + 2. (Get answer in class)

14.8 4 Finding absolute extrema of z=f(x,y) on closed & bounded sets Note: The existence of absolute extrema of f(x,y) is guaranteed over closed & bounded domains. Extreme value theorem If f ( xy, ) is continuous on a closed and bounded set R, then f has both an absolute maximum and an absolute minimum on R. A set of points in 2-space is called closed if it contains all of its boundary points. bounded it can be contained in a rectangle or disk. In other words, it is a finite region. These absolute extrema can occur on the boundary of R or at an interior (critical) point See class explanation Procedure finding absolute extrema on closed & bounded set R 5. Find all critical points that lie in the interior of R. a. Then find the value of f ( xy, ) at these points 6. Find all extrema of f ( xy, ) at the boundary points. a. This will involve methods of extrema from Math101. (See examples) 7. Look at the values of f ( xy, ) found in Step 1 & Step 2. The largest is absolute maximum & the smallest is absolute minimum. Example 14.8.3 Find the absolute minimum and absolute maximum of 2 f( x, y) = x + 4y 2x y+ 4 on the rectangle 1 x 1, 1 y 1. Solution Done in class.

14.8 5 Exercise Find the absolute minimum and absolute maximum of f ( xy, ) 2x y 6y = + on the region x + y 16. Hint discussed in class What is the boundary of region x + y 16? How to use Exercise (Applied problem) Hints it in Step 2 of procedure? A rectangular box with no top is to be constructed to have a volume V 3 = 12 ft. The cost per square foot of the material to be used is SR.4 the bottom, SR.3 two of the opposite sides, and SR.2 remaining pair of opposite sides. Find the dimensions of the box that will minimize the cost. Let x, yz, be sides. Then we have o area of base = xy o two sides of area = xz o two sides of area = yz Hence, the cost is given by C = 4xy+ 3(2 xz) + 2(2 yz) Using xyz = 12 we can write C as function of two variables o i.e. 72 48 Cxy (, ) = 4xy + y + x is to be minimized x > 0, y > 0. Note Cxy (, ) is to be minimized x > 0, y > 0. That means it is not an extrema problem over closed & bounded region. o Hence, there is no guarantee of absolute minimum (by theory) But from physical situation we have assurance of minimum. So we can continue looking minimum using the method of relative extrema. Complete from here. Answer: x = 2, y= 3, z = 2 Do Qs: 1-40 End of 14.8