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M408M Learning Module Pages

Main page

Chapter 10: Parametric Equations and Polar Coordinates

Chapter 12: Vectors and the Geometry of Space


Chapter 13: Vector Functions


Chapter 14: Partial Derivatives


Learning module LM 14.1: Functions of 2 or 3 variables:

Learning module LM 14.3: Partial derivatives:

Learning module LM 14.4: Tangent planes and linear approximations:

Learning module LM 14.5: Differentiability and the chain rule:

Learning module LM 14.6: Gradients and directional derivatives:

Learning module LM 14.7: Local maxima and minima:

      Maxima, minima and critical points
      Classifying critical points
      Example problems
      Linear regression

Learning module LM 14.8: Absolute maxima and Lagrange multipliers:

Chapter 15: Multiple Integrals



Example problems

Example Problems

  Problem: the rectangular box shown to the right has two parallel partitions but no top. It has a volume of 8 cubic inches.

  1. Express the amount, A, of material needed to construct the box as a function of the length x and width y of the box (assume no material is wasted).

  2. Find the dimensions x,y of the box that will require the least amount of material to be used in its construction.


  Solution: 1. Let the height of the box be z inches. Then the box has surface area A(x,y,z)=xy+2xz+4yz because it has no top and two sides in the x-direction, while in the y-direction it has two parallel partitions as well as two sides. On the other hand, the box has volume 8 cubic inches, which imposes a constraint condition: xyz=8,i.e.,  z=8xy. Eliminating z from these equations gives A(x,y)=xy+16y+32x. This is the surface area as a function of x,y. We need to find its critical points.   2. By partial differentiation: Ax=y32x2,Ay=x16y2. The critical points of A thus occur when y=32x2,x=16y2, i.e., at (4,2). At this point A=Axx|(4,2)=64x3|x=4=1>0, C=Ayy|(4,2)=32y3|y=2=4>0, while B=Axy|(4,2)=1>0. Thus ACB2>0 at the critical point. Consequently, the surface area is a minimum when x=4 and y=2.