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James Stewart-Calculus_ Early Transcendentals-Cengage Learning (2015)

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934 Chapter 14 Partial Derivatives

The differential dw is defined in terms of the differentials dx, dy, and dz of the independent

variables by

dw − −w

−x

dx 1

−w

−y

dy 1

−w

−z dz

EXAMPLE 6 The dimensions of a rectangular box are measured to be 75 cm, 60 cm,

and 40 cm, and each measurement is correct to within 0.2 cm. Use differentials to estimate

the largest possible error when the volume of the box is calculated from these

measurements.

SOLUTION If the dimensions of the box are x, y, and z, its volume is V − xyz and so

dV − −V

−x

dx 1

−V

−y

dy 1

−V

−z

dz − yz dx 1 xz dy 1 xy dz

< 0.2. To estimate the largest

error in the volume, we therefore use dx − 0.2, dy − 0.2, and dz − 0.2 together with

x − 75, y − 60, and z − 40:

We are given that | Dx | < 0.2, | Dy | < 0.2, and | Dz |

DV < dV − s60ds40ds0.2d 1 s75ds40ds0.2d 1 s75ds60ds0.2d − 1980

Thus an error of only 0.2 cm in measuring each dimension could lead to an error of

approximately 1980 cm 3 in the calculated volume! This may seem like a large error, but

it’s only about 1% of the volume of the box.

;

CAS

1–6 Find an equation of the tangent plane to the given surface at

the specified point.

1. z − 2x 2 1 y 2 2 5y, s1, 2, 24d

2. z − sx 1 2d 2 2 2sy 2 1d 2 2 5, s2, 3, 3d

3. z − e x2y , s2, 2, 1d

4. z − xyy 2 , s24, 2, 21d

5. z − x sinsx 1 yd, s21, 1, 0d

6. z − lnsx 2 2yd, s3, 1, 0d

7–8 Graph the surface and the tangent plane at the given point.

(Choose the domain and viewpoint so that you get a good view

of both the surface and the tangent plane.) Then zoom in until

the surface and the tangent plane become indistinguishable.

7. z − x 2 1 xy 1 3y 2 , s1, 1, 5d

8. z − s9 1 x 2 y 2 , s2, 2, 5d

9–10 Draw the graph of f and its tangent plane at the given

point. (Use your computer algebra system both to compute the

partial derivatives and to graph the surface and its tangent plane.)

Then zoom in until the surface and the tangent plane become

indistinguishable.

9. f sx, yd − 1 1 cos2 sx 2 yd

10.

1 1 cos 2 sx 1 yd , S 3 , 6 , 7 4D

f sx, yd − e 2xyy10 ssx 1 sy 1 sxy d, s1, 1, 3e 20.1 d

11–16 Explain why the function is differentiable at the given

point. Then find the linearization Lsx, yd of the function at

that point.

11. f sx, yd − 1 1 x lnsxy 2 5d, s2, 3d

12.

f sx, yd − sxy , s1, 4d

13. f sx, yd − x 2 e y , s1, 0d

14. f sx, yd − 1 1 y , s1, 3d

1 1 x

15. f sx, yd − 4 arctansxyd, s1, 1d

16. f sx, yd − y 1 sinsxyyd, s0, 3d

17–18 Verify the linear approximation at s0, 0d.

y 2 1

17. e x cossxyd < x 1 1

18.

x 1 1 < x 1 y 2 1

Copyright 2016 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).

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