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Using Differentials to determine maximum possible error

  1. Jun 30, 2011 #1
    1. The problem statement, all variables and given/known data

    Four positive numbers, each less than 30, are rounded to the first decimal place and then multiplied together. Use differentials to estimate the maximum possible error in the computed product that might result from the rounding.

    So our function of four variables would be : f(w,x,y,z) = wxyz
    Where w,x,y,z<30

    2. Relevant equations

    From Scratch

    3. The attempt at a solution

    So I have [itex] df = xyz\frac{\partial f}{\partial w} + wyz\frac{\partial f}{\partial x} + wxz\frac{\partial f}{\partial y} +wxy\frac{\partial f}{\partial z}[/itex]

    I know that

    [itex]\frac{\partial f}{\partial w}, \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}, \& \frac{\partial f}{\partial z} = \frac{1}{2}[/itex]

    since the max error when rounding a number is .5.

    My question is when solving for the error, would I substitute [itex]w, x, y, \& z[/itex] with 30, or 29.9.

    With 30 I get 303*(.2) = 5,400.
    With 29.9 I get 29.93*(.2) =5,346.17 -> and I wouldn't know where to round off.

    Or is my method wrong already?
     
    Last edited: Jun 30, 2011
  2. jcsd
  3. Jul 1, 2011 #2

    lanedance

    User Avatar
    Homework Helper

    your differential isn't quite right
    f=wxyz

    then
    df = xyz.dw + wyz.dx + wxz.dy + wxy.dz

    a single partial derivative (excuse the notation) is
    df/dw=xyz.1

    and you know
    dx,dy,dz,dw<=0.5
     
  4. Jul 2, 2011 #3

    HallsofIvy

    User Avatar
    Staff Emeritus
    Science Advisor

    It might help to look at the "relative error"- that is, the error as a fraction or percentage of the actual value.
    You have df= xyzdw+ xywdz+ xzwdy+ yzwdx. Dividing by the value, xyzw, gives
    [tex]\frac{df}{xyzw}= \frac{dw}{w}+ \frac{dz}{z}+ \frac{dy}{y}+ \frac{dx}{x}[/tex]

    You know that x, y, z, and w are all less than 30 so f= xyzw< 810000. You also know that dcx, dy, dz, and dw less than 0.05.
     
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