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Δ y = f ( a + d x ) f ( a ) .

Since all measurements are prone to some degree of error, we do not know the exact value of a measured quantity, so we cannot calculate the propagated error exactly. However, given an estimate of the accuracy of a measurement, we can use differentials to approximate the propagated error Δ y . Specifically, if f is a differentiable function at a , the propagated error is

Δ y d y = f ( a ) d x .

Unfortunately, we do not know the exact value a . However, we can use the measured value a + d x , and estimate

Δ y d y f ( a + d x ) d x .

In the next example, we look at how differentials can be used to estimate the error in calculating the volume of a box if we assume the measurement of the side length is made with a certain amount of accuracy.

Volume of a cube

Suppose the side length of a cube is measured to be 5 cm with an accuracy of 0.1 cm.

  1. Use differentials to estimate the error in the computed volume of the cube.
  2. Compute the volume of the cube if the side length is (i) 4.9 cm and (ii) 5.1 cm to compare the estimated error with the actual potential error.
  1. The measurement of the side length is accurate to within ± 0.1 cm. Therefore,
    −0.1 d x 0.1 .

    The volume of a cube is given by V = x 3 , which leads to
    d V = 3 x 2 d x .

    Using the measured side length of 5 cm, we can estimate that
    −3 ( 5 ) 2 ( 0.1 ) d V 3 ( 5 ) 2 ( 0.1 ) .

    Therefore,
    −7.5 d V 7.5 .
  2. If the side length is actually 4.9 cm, then the volume of the cube is
    V ( 4.9 ) = ( 4.9 ) 3 = 117.649 cm 3 .

    If the side length is actually 5.1 cm, then the volume of the cube is
    V ( 5.1 ) = ( 5.1 ) 3 = 132.651 cm 3 .

    Therefore, the actual volume of the cube is between 117.649 and 132.651. Since the side length is measured to be 5 cm, the computed volume is V ( 5 ) = 5 3 = 125 . Therefore, the error in the computed volume is
    117.649 125 Δ V 132.651 125 .

    That is,
    −7.351 Δ V 7.651 .

    We see the estimated error d V is relatively close to the actual potential error in the computed volume.
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Estimate the error in the computed volume of a cube if the side length is measured to be 6 cm with an accuracy of 0.2 cm.

The volume measurement is accurate to within 21.6 cm 3 .

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The measurement error dx ( x ) and the propagated error Δ y are absolute errors. We are typically interested in the size of an error relative to the size of the quantity being measured or calculated. Given an absolute error Δ q for a particular quantity, we define the relative error    as Δ q q , where q is the actual value of the quantity. The percentage error    is the relative error expressed as a percentage. For example, if we measure the height of a ladder to be 63 in. when the actual height is 62 in., the absolute error is 1 in. but the relative error is 1 62 = 0.016 , or 1.6 % . By comparison, if we measure the width of a piece of cardboard to be 8.25 in. when the actual width is 8 in., our absolute error is 1 4 in., whereas the relative error is 0.25 8 = 1 32 , or 3.1 % . Therefore, the percentage error in the measurement of the cardboard is larger, even though 0.25 in. is less than 1 in.

Relative and percentage error

An astronaut using a camera measures the radius of Earth as 4000 mi with an error of ± 80 mi. Let’s use differentials to estimate the relative and percentage error of using this radius measurement to calculate the volume of Earth, assuming the planet is a perfect sphere.

If the measurement of the radius is accurate to within ± 80 , we have

−80 d r 80 .

Since the volume of a sphere is given by V = ( 4 3 ) π r 3 , we have

d V = 4 π r 2 d r .

Using the measured radius of 4000 mi, we can estimate

−4 π ( 4000 ) 2 ( 80 ) d V 4 π ( 4000 ) 2 ( 80 ) .

To estimate the relative error, consider d V V . Since we do not know the exact value of the volume V , use the measured radius r = 4000 mi to estimate V . We obtain V ( 4 3 ) π ( 4000 ) 3 . Therefore the relative error satisfies

−4 π ( 4000 ) 2 ( 80 ) 4 π ( 4000 ) 3 / 3 d V V 4 π ( 4000 ) 2 ( 80 ) 4 π ( 4000 ) 3 / 3 ,

which simplifies to

−0.06 d V V 0.06 .

The relative error is 0.06 and the percentage error is 6 % .

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Practice Key Terms 7

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Source:  OpenStax, Calculus volume 1. OpenStax CNX. Feb 05, 2016 Download for free at http://cnx.org/content/col11964/1.2
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