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    44. Let

    (a) Show that as along any paththrough of the form with .

    (b) Despite part (a), show that is discontinuous at .

    (c) Show that is discontinuous on two entire curves.

    45. Show that the function given by is continuous

    on . [Hint: Consider .]

    46. If , show that the function f given by is

    continuous on . nfx c xc Vn

    x a 2 x a x a nfx x f

    f

    0, 0fa 4y mx a0, 0

    x,y l 0, 0fx,y l0

    fx,y 0 ify 0 or y x 41 if 0 y x 4

    ; 42. At the beginning of this section we considered the function

    and guessed that as on the basis

    of numerical evidence. Use polar coordinates to confirm the

    value of the limit. Then graph the function.

    ; 43. Graph and discuss the continuity of the function

    fx,y 1

    sinxy

    xyif

    if

    xy 0

    xy 0

    x,y l 0, 0fx,y l 1

    fx,y sinx2 y2

    x2 y2

    878 | | | | CHAPTER 14 PARTIAL DERIVATIVES

    PARTIAL DERIVATIVES

    On a hot day, extreme humidity makes us think the temperature is higher than it really

    is, whereas in very dry air we perceive the temperature to be lower than the thermom-

    eter indicates. The National Weather Service has devised the heat index (also called the

    temperature-humidity index, or humidex, in some countries) to describe the combined

    effects of temperature and humidity. The heat indexIis the perceived air temperature when

    the actual temperature is Tand the relative humidity isH. SoIis a function of TandHand

    we can write The following table of values of I is an excerpt from a table

    compiled by the National Weather Service.

    If we concentrate on the highlighted column of the table, which corresponds to a rela-

    tive humidity ofH 70%, we are considering the heat index as a function of the single

    variable Tfor a fixed value ofH. Lets write . Then describes how the

    heat indexIincreases as the actual temperature Tincreases when the relative humidity is

    70%. The derivative of t when is the rate of change ofIwith respect to Twhen:

    t96 limhl0

    t96 h t96

    h lim

    hl0f96 h, 70 f96, 70

    h

    T 96F

    T 96F

    tTtT fT, 70

    T H

    Relative humidity (%)

    Actual

    temperature

    (F)

    90

    92

    94

    96

    98

    100

    50 55 60 65 70 75 80 85 90

    96

    100

    104

    109

    114

    119

    98

    103

    107

    113

    118

    124

    100

    105

    111

    116

    123

    129

    103

    108

    114

    121

    127

    135

    106

    112

    118

    125

    133

    141

    109

    115

    122

    130

    138

    147

    112

    119

    127

    135

    144

    154

    115

    123

    132

    141

    150

    161

    119

    128

    137

    146

    157

    168

    IfT,H.

    14.3

    TABLE 1

    Heat index as a function of

    temperature and humidity

    I

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    We can approximate using the values in Table 1 by taking and :

    Averaging these values, we can say that the derivative is approximately 3.75. This

    means that, when the actual temperature is and the relative humidity is 70%, the

    apparent temperature (heat index) rises by about for every degree that the actual

    temperature rises!

    Now lets look at the highlighted row in Table 1, which corresponds to a fixed temper-

    ature of . The numbers in this row are values of the function ,which describes how the heat index increases as the relative humidity Hincreases when

    the actual temperature is . The derivative of this function whenH 70% is the

    rate of change ofIwith respect toHwhenH 70%:

    By taking h 5 and 5, we approximate using the tabular values:

    By averaging these values we get the estimate . This says that, when the tem-

    perature is and the relative humidity is 70%, the heat index rises about for

    every percent that the relative humidity rises.

    In general, if is a function of two variables and , suppose we let only vary whilekeeping fixed, say , where is a constant. Then we are really considering a func-

    tion of a single variable , namely, . If has a derivative at , then we call it

    the partial derivative of with respect tox at and denote it by . Thus

    By the definition of a derivative, we have

    and so Equation 1 becomes

    fxa, b limhl0

    fa h, b fa, b

    h2

    ta limhl0

    ta h ta

    h

    tx fx, bwherefxa, b ta1

    fxa, ba, bfattx fx, bx

    by byxyxf

    0.9F96F

    G70 0.9

    G70 G65 G70

    5

    f96, 65 f96, 70

    5

    121 125

    5 0.8

    G70 G75 G705

    f96, 75 f96, 70

    5

    130 125

    5 1

    G70

    G70 limhl0

    G70 h G70

    h lim

    hl0f96, 70 h f96, 70

    h

    T 96F

    GH f96,HT 96F

    3.75F

    96F

    t96

    t96 t94 t96

    2

    f94, 70 f96, 70

    2

    118 125

    2 3.5

    t96 t98 t96

    2

    f98, 70 f96, 70

    2

    133 125

    2 4

    2h 2t96

    SECTION 14.3 PARTIAL DERIVATIVES | | | | 879

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    Similarly, the partial derivative of with respect toy at , denoted by , is

    obtained by keeping fixed and finding the ordinary derivative at of the func-

    tion :

    With this notation for partial derivatives, we can write the rates of change of the heat

    indexIwith respect to the actual temperature Tand relative humidityHwhen

    andH 70% as follows:

    If we now let the point vary in Equations 2 and 3, and become functions of

    two variables.

    If is a function of two variables, its partial derivatives are the functions

    and defined by

    There are many alternative notations for partial derivatives. For instance, instead of

    we can write or (to indicate differentiation with respect to thefirstvariable) or

    . But here cant be interpreted as a ratio of differentials.

    NOTATIONS FOR PARTIAL DERIVATIVES If , we write

    To compute partial derivatives, all we have to do is remember from Equation 1 that

    the partial derivative with respect to is just the ordinary derivative of the function of a

    single variable that we get by keeping fixed. Thus we have the following rule.

    RULE FOR FINDING PARTIAL DERIVATIVES OF z

    1. To find , regard as a constant and differentiate with respect to .

    2. To find , regard as a constant and differentiate with respect to .yfx,yxfy

    xfx,yyfx

    fx, y

    y

    tx

    fyx,y fy f

    y

    yfx,y

    z

    yf2 D2fDyf

    fxx,y fx f

    x

    xfx,y

    z

    xf1 D1fDxf

    z fx,y

    fxfxD1ff1fx

    fyx,y limhl0

    fx,y h fx,y

    h

    fxx,y

    limhl0

    fx h,y fx,y

    h

    fy

    fxf4

    fyfxa, b

    fH96, 70 0.9fT96, 70 3.75

    T 96F

    fya, b limhl0

    fa, b h fa, b

    h3

    Gy fa,ybx ax

    fya, ba, bf

    880 | | | | CHAPTER 14 PARTIAL DERIVATIVES

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    EXAMPLE 1 If , find and .

    SOLUTION Holding constant and differentiating with respect to , we get

    and so

    Holding constant and differentiating with respect to , we get

    M

    INTERPRETATIONS OF PARTIAL DERIVATIVES

    To give a geometric interpretation of partial derivatives, we recall that the equation

    represents a surface (the graph of ). If , then the point

    lies on . By fixing , we are restricting our attention to the curve in which the ver-

    tical plane intersects S. (In other words, is the trace of in the plane .)

    Likewise, the vertical plane intersects in a curve . Both of the curves and

    pass through the point . (See Figure 1.)

    Notice that the curve is the graph of the function , so the slope of its

    tangent at is . The curve is the graph of the function ,

    so the slope of its tangent at is .

    Thus the partial derivatives and can be interpreted geometrically as the

    slopes of the tangent lines at to the traces and of in the planes

    and .

    As we have seen in the case of the heat index function, partial derivatives can also be

    interpreted as rates of change. If , then represents the rate of change of

    with respect to when is fixed. Similarly, represents the rate of change of with

    respect to when is fixed.

    EXAMPLE 2 If , find and and interpret these num-

    bers as slopes.

    SOLUTION We have

    fy1, 1

    4fx1, 1

    2

    fyx,y 4yfxx,y 2x

    fy1, 1fx1, 1fx,y 4 x 2 2y 2

    xy

    zzyyxzzxz fx,y

    x a

    y bSC2C1Pa, b, cfy a, bfxa, b

    Gb fya, bPT2

    Gy fa,yC2ta fxa, bPT1tx fx, bC1

    FIGURE 1

    The partial derivatives of fat (a, b)arethe slopes of the tangents to C and C .

    0

    (a, b, 0)

    C

    C

    T

    P(a, b, c)

    S T

    z

    yx

    P

    C2C1C2Sx a

    y bSC1y b

    C1y bS

    Pa, b, cfa, b cfSz fx,y

    fy2, 1 3 22 12 4 1 8

    fyx,y 3x2y 2 4y

    yx

    fx2, 1 3 22 2 2 13 16

    fxx,y

    3x2

    2xy3

    xy

    fy2, 1fx2, 1fx,y x3x 2y 3 2y 2

    SECTION 14.3 PARTIAL DERIVATIVES | | | | 881

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    The graph of is the paraboloid and the vertical plane inter-

    sects it in the parabola , . (As in the preceding discussion, we label

    it in Figure 2.) The slope of the tangent line to this parabola at the point is

    . Similarly, the curve in which the plane intersects the parabo-

    loid is the parabola , , and the slope of the tangent line at is

    . (See Figure 3.)

    M

    Figure 4 is a computer-drawn counterpart to Figure 2. Part (a) shows the plane

    intersecting the surface to form the curve and part (b) shows and . [We have used

    the vector equations for and for .]

    Similarly, Figure 5 corresponds to Figure 3.

    FIGURE 4

    FIGURE 5

    1y0

    4

    3

    2z

    1

    0

    21

    x

    0

    (a)

    1y0

    4

    3

    2z

    1

    0

    21

    x

    0

    (b)

    1y0

    4

    3

    2z

    1

    0

    21 x

    0

    1y0

    4

    3

    2z

    1

    0

    21 x

    0

    T1rt 1 t, 1, 1 2tC1rt t, 1, 2 t2 T1C1C1

    y 1

    FIGURE 2

    (1, 1, 1)

    z=4--2

    (1, 1)2

    y=1

    C

    (1, 1, 1)

    z=4--2

    (1, 1)2

    x=1

    C

    FIGURE 3

    z

    y

    x

    z

    y

    x

    fy1, 1 41, 1, 1x 1z 3 2y 2

    x 1C2fx1, 1 21, 1, 1C1

    y 1z 2 x 2y 1z 4 x 2 2y 2f

    882 | | | | CHAPTER 14 PARTIAL DERIVATIVES

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    EXAMPLE 3 If , calculate and .

    SOLUTION Using the Chain Rule for functions of one variable, we have

    M

    EXAMPLE 4 Find and if is defined implicitly as a function of and

    by the equation

    SOLUTION To find , we differentiate implicitly with respect to , being careful to treat

    as a constant:

    Solving this equation for , we obtain

    Similarly, implicit differentiation with respect to gives

    M

    FUNCTIONS OF MORE THAN TWO VARIABLES

    Partial derivatives can also be defined for functions of three or more variables. For example,

    if is a function of three variables , , and , then its partial derivative with respect to

    is defined as

    and it is found by regarding and as constants and differentiating with respect

    to . If , then can be interpreted as the rate of change of with

    respect tox wheny and are held fixed. But we cant interpret it geometrically because the

    graph off lies in four-dimensional space.

    In general, if is a function of variables, , its partial derivative

    with respect to the ith variable is

    uxi lim

    hl0 fx1, . . . ,xi

    1,xi

    h,xi

    1, . . . ,xn

    fx1, . . . , xi , . . . ,xn

    h

    xi

    u fx1,x2, . . . ,xn nu

    z

    wfx wxw fx,y, zxfx,y, zzy

    fxx,y, z limhl0fx h,y, z fx,y, z

    h

    xzyxf

    z

    y

    y 2 2xz

    z2 2xy

    y

    z

    x

    x 2 2yz

    z2 2xy

    zx

    3x 2 3z2z

    x 6yz 6xy

    z

    x 0

    y

    xzx

    x3 y 3 z3 6xyz 1

    yxzzyzxV

    f

    y cos x

    1 y

    y x

    1 y cos x

    1 y x

    1 y2

    f

    x cos x

    1 y

    x x

    1 y cos x

    1 y 1

    1 y

    f

    y

    f

    xfx,y sin x

    1 yV

    SECTION 14.3 PARTIAL DERIVATIVES | | | | 883

    FIGURE 6

    N Some computer algebra systems can plot

    surfaces defined by implicit equations in three

    variables. Figure 6 shows such a plot of the

    surface defined by the equation in Example 4.

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    and we also write

    EXAMPLE 5 Find , , and if .

    SOLUTION Holding and constant and differentiating with respect to , we have

    Similarly, M

    HIGHER DERIVATIVES

    If is a function of two variables, then its partial derivatives and are also functions of

    two variables, so we can consider their partial derivatives , , , and ,

    which are called the second partial derivatives of . If , we use the following

    notation:

    Thus the notation (or ) means that we first differentiate with respect to and

    then with respect to , whereas in computing the order is reversed.

    EXAMPLE 6 Find the second partial derivatives of

    SOLUTION In Example 1 we found that

    Therefore

    Mfyy

    y3x 2y 2 4y 6x 2y 4fyx

    x3x 2y 2 4y 6xy 2

    fxy

    y3x 2 2xy3 6xy 2fxx

    x3x 2 2xy 3 6x 2y 3

    fyx,y 3x2y2 4yfxx,y 3x

    2 2xy 3

    fx,y x 3 x 2y 3 2y 2

    fyxy

    x2fy xfx y

    fyy fyy f22

    y fy 2f

    y 2

    2z

    y 2

    fyx fyx f21

    x fy 2f

    xy

    2z

    xy

    fxy fxy f12

    y fx 2f

    yx

    2z

    yx

    fxx fxx f11

    x fx 2f

    x 2

    2z

    x 2

    z fx,yffyyfyxfx yfxx

    fyfxf

    fz exy

    z

    andfy xex y ln z

    fx yex y ln z

    xzy

    fx,y, z ex y ln zfzfyfx

    u

    x i

    f

    xifx i fi Dif

    884 | | | | CHAPTER 14 PARTIAL DERIVATIVES

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    Notice that in Example 6. This is not just a coincidence. It turns out that the

    mixed partial derivatives and are equal for most functions that one meets in practice.

    The following theorem, which was discovered by the French mathematician Alexis Clairaut

    (17131765), gives conditions under which we can assert that The proof is given

    in Appendix F.

    CLAIRAUTS THEOREM Suppose is defined on a disk that contains the point. If the functions and are both continuous on , then

    Partial derivatives of order 3 or higher can also be defined. For instance,

    fx yy fx yy

    y

    2f

    yx

    3f

    y 2 x

    fx ya, b fyxa, b

    Dfyxfx ya, bDf

    fx y fyx .

    fyxfx y

    fx y fyx

    _1_2

    2 1

    2_2

    20

    _20

    _1 0 10

    y

    x

    z 0

    f

    fxx

    FIGURE 7

    40

    _20

    0

    20

    _2 _1 0 1 2 2 1 0

    _1_2

    y

    x

    z

    1 0_1

    _2

    22_2

    40

    20

    _40

    _20

    0

    _1 0 1y

    x

    z

    fx

    fxy

    fyx

    _2_1

    22_2

    40

    0

    20

    _1 0 1 1 0

    y

    x

    z

    2 2 1 0

    _1_2

    _2

    40

    20

    _40

    _20

    0

    _1 0 1y

    x

    z

    fy

    fyy

    z

    _2

    2_2

    20

    _40

    _20

    0

    _1 0 1 2 1 0

    _1

    y

    x

    SECTION 14.3 PARTIAL DERIVATIVES | | | | 885

    N Figure 7 shows the graph of the function

    in Example 6 and the graphs of its first- and

    second-order partial derivatives for ,

    . Notice that these graphs are con-

    sistent with our interpretations of and as

    slopes of tangent lines to traces of the graph of .

    For instance, the graph of decreases if we start

    at and move in the positive -direction.

    This is reflected in the negative values of . You

    should compare the graphs of and with the

    graph of to see the relationships.fy

    fyyfyx

    fx

    x0, 2f

    f

    fyfx

    2 y 2

    2 x 2

    f

    N Alexis Clairaut was a child prodigy inmathematics: he read lHospitals textbook

    on calculus when he was ten and presented a

    paper on geometry to the French Academy of

    Sciences when he was 13. At the age of 18,

    Clairaut published Recherches sur les courbes

    double courbure, which was the first systematic

    treatise on three-dimensional analytic geometry

    and included the calculus of space curves.

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    and using Clairauts Theorem it can be shown that if these functions are

    continuous.

    EXAMPLE 7 Calculate if .

    SOLUTION

    M

    PARTIAL DIFFERENTIAL EQUATIONS

    Partial derivatives occur inpartial differential equations that express certain physical laws.

    For instance, the partial differential equation

    is called Laplaces equation after Pierre Laplace (17491827). Solutions of this equation

    are called harmonic functions; they play a role in problems of heat conduction, fluid flow,

    and electric potential.

    EXAMPLE 8 Show that the function is a solution of Laplaces

    equation.

    SOLUTION

    Therefore satisfies Laplaces equation. M

    The wave equation

    describes the motion of a waveform, which could be an ocean wave, a sound wave, a light

    wave, or a wave traveling along a vibrating string. For instance, if represents the dis-

    placement of a vibrating violin string at time and at a distance from one end of thestring (as in Figure 8), then satisfies the wave equation. Here the constant depends

    on the density of the string and on the tension in the string.

    EXAMPLE 9 Verify that the function satisfies the wave equation.

    SOLUTION

    So satisfies the wave equation. Mu

    utt a2 sinx at a 2uxxut a cosx at

    uxx sinx atux cosx at

    ux, t sinx at

    aux, txt

    ux, t

    2u

    t2 a2

    2u

    x 2

    u

    uxx uyy exsiny exsiny 0

    uyy ex sinyuxx e

    x siny

    uy ex cosyux e

    x siny

    ux,y ex siny

    2u

    x 2

    2u

    y 2 0

    fxx yz 9 cos3x yz 9yz sin3x yz

    fxx y 9z cos3x yz

    fxx 9 sin3x yz

    fx 3 cos3x yz

    fx,y, z

    sin

    3x yz

    fxx yzV

    fx yy fyx y fyy x

    886 | | | | CHAPTER 14 PARTIAL DERIVATIVES

    FIGURE 8

    u(x, t)

    x

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    THE COBB-DOUGLAS PRODUCTION FUNCTION

    In Example 3 in Section 14.1 we described the work of Cobb and Douglas in modeling the

    total production P of an economic system as a function of the amount of labor L and the

    capital investment K. Here we use partial derivatives to show how the particular form oftheir model follows from certain assumptions they made about the economy.

    If the production function is denoted by , then the partial derivative

    is the rate at which production changes with respect to the amount of labor. Economists

    call it the marginal production with respect to labor or the marginal productivity of labor.

    Likewise, the partial derivative is the rate of change of production with respect to

    capital and is called the marginal productivity of capital. In these terms, the assumptions

    made by Cobb and Douglas can be stated as follows.

    (i) If either labor or capital vanishes, then so will production.

    (ii) The marginal productivity of labor is proportional to the amount of production

    per unit of labor.

    (iii) The marginal productivity of capital is proportional to the amount of production

    per unit of capital.

    Because the production per unit of labor is , assumption (ii) says that

    for some constant . If we keep Kconstant , then this partial differential equa-

    tion becomes an ordinary differential equation:

    If we solve this separable differential equation by the methods of Section 9.3 (see also

    Exercise 79), we get

    Notice that we have written the constant as a function of because it could depend on

    the value of .

    Similarly, assumption (iii) says that

    and we can solve this differential equation to get

    Comparing Equations 6 and 7, we have

    PL, K bLK8

    PL0, K C2L0 K

    7

    P

    K

    P

    K

    K0

    K0C1

    PL, K0 C1K0 L

    6

    dP

    dL

    P

    L5

    K K0

    P

    L

    P

    L

    PL

    PK

    PLP PL, K

    SECTION 14.3 PARTIAL DERIVATIVES | | | | 887

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    where b is a constant that is independent of bothL and K. Assumption (i) shows that

    and .

    Notice from Equation 8 that if labor and capital are both increased by a factor m, then

    If , then , which means that production is also increased

    by a factor of m. That is why Cobb and Douglas assumed that and therefore

    This is the Cobb-Douglas production function that we discussed in Section 14.1.

    PL, K bLK1

    1

    PmL, mK mPL, K 1

    PmL, mK bmLmK mbLK mPL, K

    0

    0

    888 | | | | CHAPTER 14 PARTIAL DERIVATIVES

    (b) In general, what can you say about the signs of

    and ?

    (c) What appears to be the value of the following limit?

    4. The wave heights in the open sea depend on the speed

    of the wind and the length of time that the wind has been

    blowing at that speed. Values of the function are

    recorded in feet in the following table.

    (a) What are the meanings of the partial derivatives

    and ?

    (b) Estimate the values of and . What are

    the practical interpretations of these values?

    (c) What appears to be the value of the following limit?

    limtl

    ht

    ft40, 15fv40, 15ht

    hv

    2

    4

    5

    9

    14

    19

    24

    2

    4

    7

    13

    21

    29

    37

    2

    5

    8

    16

    25

    36

    47

    2

    5

    8

    17

    28

    40

    54

    2

    5

    9

    18

    31

    45

    62

    2

    5

    9

    19

    33

    48

    67

    2

    5

    9

    19

    33

    50

    69

    v

    t

    10

    15

    20

    30

    40

    50

    60

    Duration (hours)

    Windspeed(knots)

    5 10 15 20 30 40 50

    h fv, tt

    vh

    limv

    l

    Wv

    WvWTThe temperature at a location in the Northern Hemisphere

    depends on the longitude , latitude , and time , so we can

    write . Lets measure time in hours from the

    beginning of January.

    (a) What are the meanings of the partial derivatives

    , and ?

    (b) Honolulu has longitude and latitude .

    Suppose that at 9:00 AM on January 1 the wind is blowing

    hot air to the northeast, so the air to the west and south is

    warm and the air to the north and east is cooler. Would you

    expect , and to be

    positive or negative? Explain.

    2. At the beginning of this section we discussed the function

    , where is the heat index, is the temperature,and is the relative humidity. Use Table 1 to estimate

    and . What are the practical interpretations

    of these values?

    3. The wind-chill index is the perceived temperature when the

    actual temperature is and the wind speed is , so we can

    write . The following table of values is an excerpt

    from Table 1 in Section 14.1.

    (a) Estimate the values of and . Whatare the practical interpretations of these values?

    fv15, 30fT15, 30

    18

    24

    30

    37

    20

    26

    33

    39

    21

    27

    34

    41

    22

    29

    35

    42

    23

    30

    36

    43

    Tv 20 30 40 50 60

    10

    15

    20

    25Actualtemperature(C)

    70

    23

    30

    37

    44

    Wind speed (km/h)

    WfT, vvT

    W

    fH92, 60fT92, 60H

    TIIfT,H

    ft158, 21, 9fx158, 21, 9, fy158, 21, 9

    21N158W

    TtTyTx,

    Tfx,y, ttyx

    T1.

    EXERCISES14.3

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    SECTION 14.3 PARTIAL DERIVATIVES | | | | 889

    10. A contour map is given for a function . Use it to estimate

    and .

    11. If , find and and inter-pret these numbers as slopes. Illustrate with either hand-drawn

    sketches or computer plots.

    12. If , find and and

    interpret these numbers as slopes. Illustrate with either hand-

    drawn sketches or computer plots.

    ; 1314 Find and and graph , , and with domains andviewpoints that enable you to see the relationships between them.

    13. 14.

    1538 Find the first partial derivatives of the function.

    15. 16.

    17. 18.

    19. 20.

    22.

    23. 24.

    25. 26.

    27. 28.

    29. 30.

    32.

    33. 34.

    35. 36.

    37.

    38.

    3942 Find the indicated partial derivatives.

    39. ;

    40. ;

    41. ; fy 2, 1, 1fx,y, z yx y z

    fx 2, 3fx,y arctanyx

    fx 3, 4fx,y ln(x sx 2 y 2 )

    u sinx1 2x2 nx n

    u sx 21 x 22 x 2nfx,y, z, t

    xy 2

    t 2zfx,y,z, t xyz 2tanyt

    u xyzu xysin1yz

    w zexyzw lnx 2y 3z31.

    fx,y, z xsiny zfx,y, z xz 5x 2y 3z4

    fx,y yxy

    cost2 dtu te wt

    fx, t arctan(xst)fr, s rlnr2 s 2

    w ev

    u v 2w sin cos

    fx,y xyfx,y x y

    x y21.

    z tanxyz 2x 3y10

    fx, t sx ln tfx, t etcos x

    fx,y x 4y 3 8x 2yfx,y y 5 3xy

    fx,y

    xe

    x 2y2

    fx,y

    x

    2

    y

    2

    x

    2

    y

    fyfxffyfx

    fy1, 0fx1, 0fx,y s4 x 2 4y 2

    fy1, 2fx1, 2fx,y 16 4x 2 y 2

    3 x

    y

    3

    _2

    06 8

    10

    14

    16

    12

    18

    2

    4

    _4

    1

    fy2, 1fx2, 1f5 8 Determine the signs of the partial derivatives for the function

    whose graph is shown.

    (a) (b)

    6. (a) (b)

    7. (a) (b)

    8. (a) (b)

    The following surfaces, labeled , , and , are graphs of a

    function and its partial derivatives and . Identify each

    surface and give reasons for your choices.

    b_4

    _3 _1 0 1 3

    0 _2

    y

    x

    z 0

    2

    4

    2_2

    a

    8

    _8

    _4

    _3 _1 0 1 3

    0 _2

    yx

    z 0

    2

    4

    2_2

    c

    8

    _8

    _3 _1 0 1 30

    _2

    yx

    z 0

    2

    4

    2_2

    _4

    fyfxf

    cba9.

    fxy 1, 2fxy 1, 2

    fyy 1, 2fxx 1, 2

    fy1, 2fx1, 2

    fy1, 2fx1, 25.

    1x

    y

    z

    2

    f

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    890 | | | | CHAPTER 14 PARTIAL DERIVATIVES

    Use the table of values of to estimate the values of

    , , and .

    70. Level curves are shown for a function . Determine whether

    the following partial derivatives are positive or negative at the

    point .

    (a) (b) (c)

    (d) (e)

    71. Verify that the function is a solution of theheat conduction equation .

    72. Determine whether each of the following functions is a solution

    of Laplaces equation .

    (a) (b)

    (c) (d)

    (e)

    (f )

    73. Verify that the function is a solution of

    the three-dimensional Laplace equation .

    74. Show that each of the following functions is a solution of the

    wave equation .

    (a) (b)

    (c)

    (d)

    75. If and are twice differentiable functions of a single vari-

    able, show that the function

    is a solution of the wave equation given in Exercise 74.

    76. If , where ,

    show that

    77. Verify that the function is a solution of the

    differential equations

    z

    x z

    y 1

    z lnex ey

    2u

    x 21

    2u

    x 22

    2u

    x 2n u

    a 21 a22 a

    2n 1u e

    a1x1a2x2anxn

    ux, t fx at tx at

    tf

    u sinx at lnx atu x at6 x at6

    u ta 2t2 x 2u sinkx sinak tu t t a

    2uxx

    uxx uyy uzz 0

    u 1sx 2 y 2 z 2u excosy eycosx

    u sinx coshy cosx sinhy

    u ln sx 2 y 2u x 3 3xy 2u x 2 y 2u x 2 y 2

    uxx uyy 0

    ut 2uxx

    u e

    2

    k

    2

    tsin kx

    10 8 6 4 2

    y

    x

    P

    fyyfxy

    fxxfyfx

    P

    f

    12.5

    18.1

    20.0

    10.2

    17.5

    22.4

    9.3

    15.9

    26.1

    xy

    2.5

    3.0

    3.5

    1.8 2.0 2.2

    fx y3, 2fx3, 2.2fx3, 2fx,y69.42. ;

    4344 Use the definition of partial derivatives as limits (4) to find

    and .

    43. 44.

    4548 Use implicit differentiation to find and .

    45. 46.

    47. 48.

    4950 Find and .

    49. (a) (b)

    (a) (b)

    (c)

    5156 Find all the second partial derivatives.

    51. 52.

    53. 54.

    55. 56.

    5760 Verify that the conclusion of Clairauts Theorem holds, that

    is, .

    57. 58.

    59. 60.

    6168 Find the indicated partial derivative.

    61. ; ,

    62. ; ,

    63. ; ,

    64. ; ,

    65. ;

    66. ;

    67. ; ,

    68. ;

    6u

    x y 2 z 3u x ay bz c

    3w

    x 2 y

    3w

    z y xw

    x

    y 2z

    3z

    u v wz usv w

    3u

    r2 u e rsin

    frs tfrs sfr, s, t rlnrs2t3

    fyzzfxy zfx,y, z cos4x 3y 2z

    ftx xftt tfx, t x2ect

    fyy yfxx yfx,y 3xy4x 3y 2

    u xyeyu ln sx 2 y 2u x 4y 2 2xy 5u xsinx 2y

    ux y uyx

    v exey

    z arctanx y

    1 xy

    v xy

    x yw su 2 v 2

    fx,y sin2mx nyfx,y x 3y 5 2x 4y

    z fxy

    z fxyz fxty50.

    z fx yz fx ty

    zyzx

    sinxyz x 2y 3zx z arctanyz

    yz lnx zx 2 y 2 z2 3xyz

    zyzx

    fx,y x

    x y 2fx,y xy 2 x 3y

    fyx,yfxx,y

    fz 0, 0, 4fx,y, z ssin2x sin2y sin2z

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    SECTION 14.3 PARTIAL DERIVATIVES | | | | 891

    You are told that there is a function whose partial derivatives

    are and . Should you

    believe it?

    ;88. The paraboloid intersects the plane

    in a parabola. Find parametric equations for the tangent

    line to this parabola at the point . Use a computer to

    graph the paraboloid, the parabola, and the tangent line on the

    same screen.

    89. The ellipsoid intersects the plane

    in an ellipse. Find parametric equations for the tangent line to

    this ellipse at the point .

    90. In a study of frost penetration it was found that the temperature

    at time (measured in days) at a depth (measured in feet)can be modeled by the function

    where and is a positive constant.

    (a) Find . What is its physical significance?

    (b) Find . What is its physical significance?

    (c) Show that satisfies the heat equation for a cer-

    tain constant .

    ; (d) If , , and , use a computer tograph .

    (e) What is the physical significance of the term in the

    expression ?

    91. Use Clairauts Theorem to show that if the third-order partial

    derivatives of are continuous, then

    92. (a) How many th-order partial derivatives does a function of

    two variables have?

    (b) If these partial derivatives are all continuous, how many ofthem can be distinct?

    (c) Answer the question in part (a) for a function of three

    variables.

    93. If , find .

    [Hint: Instead of finding first, note that its easier to

    use Equation 1 or Equation 2.]

    94. If , find .

    95. Let

    ; (a) Use a computer to graph .(b) Find and when .

    (c) Find and using Equations 2 and 3.

    (d) Show that and .

    (e) Does the result of part (d) contradict Clairauts Theorem?Use graphs of and to illustrate your answer.fyxfxy

    CAS

    fyx 0, 0 1fxy 0, 0 1fy0, 0fx0, 0

    x,y 0, 0fyx,yfxx,yf

    fx,y 0

    x 3y xy 3

    x 2 y 2if

    if

    x,y 0, 0

    x,y 0, 0

    fx0, 0fx,y s3x 3 y 3

    fxx,yfx1, 0fx,y xx

    2y 232e sinx

    2y

    n

    fx yy fyx y fyy x

    f

    sint xx

    Tx, t

    T1 10T0 0 0.2

    k

    Tt kTxxT

    TtTx

    2365

    Tx, t T0 T1ex sint x

    xtT

    1, 2, 2

    y 24x 2 2y 2 z2 16

    1, 2, 4x 1

    z 6 x x 2 2y 2

    fyx,y 3x yfxx,y x 4yf87.and

    78. Show that the Cobb-Douglas production function

    satisfies the equation

    79. Show that the Cobb-Douglas production function satisfies

    by solving the differential equation

    (See Equation 5.)80. The temperature at a point on a flat metal plate is given

    by , where is measured in C

    and in meters. Find the rate of change of temperature with

    respect to distance at the point in (a) the -direction and

    (b) the -direction.

    The total resistance produced by three conductors with resis-

    tances , , connected in a parallel electrical circuit is

    given by the formula

    Find .

    82. The gas law for a fixed mass of an ideal gas at absolute tem-

    perature , pressure , and volume is , where is

    the gas constant. Show that

    83. For the ideal gas of Exercise 82, show that

    84. The wind-chill index is modeled by the function

    where is the temperature and is the wind speed

    . When and , by how much

    would you expect the apparent temperature to drop if theactual temperature decreases by ? What if the wind speed

    increases by ?

    85. The kinetic energy of a body with mass and velocity is

    . Show that

    If , , are the sides of a triangle and , , are the opposite

    angles, find , , by implicit differentiation ofthe Law of Cosines.

    AcAbAa

    CBAcba86.

    K

    m

    2K

    v2 K

    K1

    2 mv2

    vm

    1 kmh1C

    W

    v 30 kmhT 15CkmhvCT

    W 13.12 0.6215T 11.37v 0.16 0.3965Tv 0.16

    TP

    TV

    T mR

    P

    VV

    TT

    P 1

    RPV mRTVPT

    m

    RR1

    1

    R

    1

    R1

    1

    R2

    1

    R3

    R3R2R1

    R81.

    y

    x2, 1x,y

    TTx,y 601 x 2 y 2x,y

    dP

    dL

    P

    L

    PL, K0 C1K0L

    LP

    L K

    P

    K P

    P bLK

    2z

    x 2

    2z

    y 2 2z

    x y2 0