Chapter 16 1

22
16.1 Vector Fields
The vectors in Figure 1 are air velocity vectors that indicate
the wind speed and direction at points 10 m above the
surface elevation in the San Francisco Bay area.
We see at a glance from the largest arrows in part (a) that
the greatest wind speeds at that time occurred as the winds
entered the bay across the Golden Gate Bridge. Part (b)
shows the very different wind pattern 12 hours earlier.

33
Vector Fields
Velocity vector fields showing San Francisco Bay wind patterns
Figure 1

44
Vector Fields
Associated with every point in the air we can imagine a
wind velocity vector. This is an example of a velocity vector
field.
Other examples of velocity vector fields are illustrated in
Figure 2: ocean currents and flow past an airfoil.
Velocity vector fields
Figure 2

55
Vector Fields
Another type of vector field, called a force field, associates
a force vector with each point in a region. An example is
the gravitational force field.
In general, a vector field is a function whose domain is a
set of points in (or ) and whose range is a set of
vectors in V2 (or V3).

66
Vector Fields
The best way to picture a vector field is to draw the arrow
representing the vector F(x, y) starting at the point (x, y).
Of course, it’s impossible to do this for all points (x, y), but
we can gain a reasonable impression of F by doing it for a
few representative points in D as in Figure 3.
Figure 3
Vector field on

77
Vector Fields
Since F(x, y) is a two-dimensional vector, we can write it in
terms of its component functions P and Q as follows:
F(x, y) = P(x, y) i + Q(x, y) j = P(x, y), Q(x, y)
or, for short, F = P i + Q j
Notice that P and Q are scalar functions of two variables
and are sometimes called scalar fields to distinguish them
from vector fields.

88
Vector Fields
A vector field F on is pictured in Figure 4.
We can express it in terms of its component functions
P, Q, and R as
F(x, y, z) = P(x, y, z) i + Q(x, y, z) j + R(x, y, z) k
Figure 4
Vector field on

99
Vector Fields
As with the vector functions, we can define continuity of
vector fields and show that F is continuous if and only if its
component functions P, Q, and R are continuous.
We sometimes identify a point (x, y, z) with its position
vector x = x, y, z and write F(x) instead of F(x, y, z).
Then F becomes a function that assigns a vector F(x) to a
vector x.

1010
Example 1
A vector field on is defined by F(x, y) = –y i + x j.
Describe F by sketching some of the vectors F(x, y) as in
Figure 3.
Figure 3
Vector field on

1111
Example 1 – Solution
Since F(1, 0) = j, we draw the vector j = 0, 1 starting at
the point (1, 0) in Figure 5.
Since F(0, 1) = –i, we draw the vector –1, 0 with starting
point (0, 1).
Figure 5
F(x, y) = –y i + x j

1212
Continuing in this way, we calculate several other
representative values of F(x, y) in the table and draw the
corresponding vectors to represent the vector field in
Figure 5.
cont’d

1313
It appears from Figure 5 that each arrow is tangent to a
circle with center the origin.
Figure 5
F(x, y) = –y i + x j
cont’d

1414
To confirm this, we take the dot product of the position
vector x = x i + y j with the vector F(x) = F(x, y):
x  F(x) = (x i + y j)  (–y i + x j)
= –xy + yx
This shows that F(x, y) is perpendicular to the position
vector x, y and is therefore tangent to a circle with center
the origin and radius
Notice also that
so the magnitude of the vector F(x, y) is equal to the radius
of the circle.
= 0
cont’d

1515
Example 3
Imagine a fluid flowing steadily along a pipe and let
V(x, y, z) be the velocity vector at a point (x, y, z).
Then V assigns a vector to each point (x, y, z) in a certain
domain E (the interior of the pipe) and so V is a vector field
on called a velocity field.
A possible velocity field is illustrated in Figure 13.
Figure 13
Velocity field in fluid flow

1616
Example 3
The speed at any given point is indicated by the length of
the arrow.
Velocity fields also occur in other areas of physics.
For instance, the vector field in Example 1 could be used
as the velocity field describing the counterclockwise
rotation of a wheel.
cont’d

1717
Example 4
Newton’s Law of Gravitation states that the magnitude of
the gravitational force between two objects with masses
m and M is
where r is the distance between the objects and G is the
gravitational constant.
(This is an example of an inverse square law.)
Let’s assume that the object with mass M is located at the
origin in . (For instance, M could be the mass of the earth
and the origin would be at its center.)

1818
Example 4
Let the position vector of the object with mass m be
x = x, y, z. Then r = |x|, so r2 = |x|2.
The gravitational force exerted on this second object acts
toward the origin, and the unit vector in this direction is
Therefore the gravitational force acting on the object at
x = x, y, z is
[Physicists often use the notation r instead of x for the
position vector, so you may see Formula 3 written in the
form F = –(mMG/r3)r.]
cont’d

1919
Example 4
The function given by Equation 3 is an example of a vector
field, called the gravitational field, because it associates a
vector [the force F(x)] with every point x in space.
Formula 3 is a compact way of writing the gravitational
field, but we can also write it in terms of its component
functions by using the facts that x = x i + y j + z k and
cont’d

2020
Example 4
The gravitational field F is pictured in Figure 14.
Figure 14
Gravitational force field
cont’d

2121
Example 5
Suppose an electric charge Q is located at the origin.
According to Coulomb’s Law, the electric force F(x) exerted
by this charge on a charge q located at a point (x, y, z) with
position vector x = x, y, z is
where ε is a constant (that depends on the units used).
For like charges, we have qQ > 0 and the force is repulsive;
for unlike charges, we have qQ < 0 and the force is
attractive.

2222
Example 5
Notice the similarity between Formulas 3 and 4. Both
vector fields are examples of force fields.
Instead of considering the electric force F, physicists often
consider the force per unit charge:
Then E is a vector field on called the electric field of Q.
cont’d

2424
Gradient Fields
If f is a scalar function of two variables, recall that its
gradient f (or grad f) is defined by
f(x, y) = fx(x, y) i + fy(x, y) j
Therefore f is really a vector field on and is called a
gradient vector field.
Likewise, if f is a scalar function of three variables, its
gradient is a vector field on given by
f(x, y, z) = fx(x, y, z) i + fy(x, y, z) j + fz(x, y, z) k

2525
Example 6
Find the gradient vector field of f(x, y) = x2y – y3. Plot the
gradient vector field together with a contour map of f. How
are they related?
Solution:
The gradient vector field is given by

2626
Figure 15 shows a contour map of f with the gradient vector
field.
Notice that the gradient vectors are perpendicular to the
level curves.
Figure 15
cont’d

2727
Notice also that the gradient vectors are long where the
level curves are close to each other and short where the
curves are farther apart.
That’s because the length of the gradient vector is the
value of the directional derivative of f and closely spaced
level curves indicate a steep graph.
cont’d

2828
Gradient Fields
A vector field F is called a conservative vector field if it is
the gradient of some scalar function, that is, if there exists a
function f such that F = f.
In this situation f is called a potential function for F.
Not all vector fields are conservative, but such fields do
arise frequently in physics.

2929
Gradient Fields
For example, the gravitational field F in Example 4 is
conservative because if we define
then

3030
16.2 Line Integrals
In this section we define an integral that is similar to a
single integral except that instead of integrating over an
interval [a, b], we integrate over a curve C.
Such integrals are called line integrals, although “curve
integrals” would be better terminology.
They were invented in the early 19th century to solve
problems involving fluid flow, forces, electricity, and
magnetism.

3131
Line Integrals
We start with a plane curve C given by the parametric
equations
x = x(t) y = y(t) a  t  b
or, equivalently, by the vector equation r(t) = x(t) i + y(t) j,
and we assume that C is a smooth curve. [This means that
r is continuous and r(t)  0.]

3232
Line Integrals
If we divide the parameter interval [a, b] into n subintervals
[ti–1, ti] of equal width and we let xi = x(ti), and yi = y(ti), then
the corresponding points Pi(xi, yi) divide C into n subarcs
with lengths s1, s2, . . . , sn. (See Figure 1.)
Figure 1

3333
Line Integrals
We choose any point in the ith subarc. (This
corresponds to a point in [ti–1, ti].)
Now if f is any function of two variables whose domain
includes the curve C, we evaluate f at the point
multiply by the length si of the subarc, and form the sum
which is similar to a Riemann sum.

3434
Line Integrals
Then we take the limit of these sums and make the
following definition by analogy with a single integral.
We have found that the length of C is

3535
Line Integrals
A similar type of argument can be used to show that if f is a
continuous function, then the limit in Definition 2 always
exists and the following formula can be used to evaluate
the line integral:
The value of the line integral does not depend on the
parametrization of the curve, provided that the curve is
traversed exactly once as t increases from a to b.

3636
Line Integrals
If s(t) is the length of C between r(a) and r(t), then
So the way to remember Formula 3 is to express
everything in terms of the parameter t: Use the parametric
equations to express x and y in terms of t and write ds as

3737
Line Integrals
In the special case where C is the line segment that joins
(a, 0) to (b, 0), using x as the parameter, we can write the
parametric equations of C as follows: x = x, y = 0, a  x  b.
Formula 3 then becomes
and so the line integral reduces to an ordinary single
integral in this case.

3838
Line Integrals
Just as for an ordinary single integral, we can interpret the
line integral of a positive function as an area.
In fact, if f(x, y)  0, C f(x, y) ds represents the area of one
side of the “fence” or “curtain” in Figure 2, whose base is C
and whose height above the point (x, y) is f(x, y).
Figure 2

3939
Example 1
Evaluate C (2 + x2y) ds, where C is the upper half of the
unit circle x2 + y2 = 1.
Solution:
In order to use Formula 3, we first need parametric
equations to represent C.
Recall that the unit circle can be parametrized by means of
the equations
x = cos t y = sin t
and the upper half of the circle is
described by the parameter
interval 0  t  . (See Figure 3.)
Figure 3

4040
Therefore Formula 3 gives
cont’d

4141
Line Integrals
Suppose now that C is a piecewise-smooth curve; that is,
C is a union of a finite number of smooth curves
C1, C2, …., Cn, where, as illustrated in Figure 4, the initial
point of Ci+1 is the terminal point of Ci.
Figure 4
A piecewise-smooth curve

4242
Line Integrals
Then we define the integral of f along C as the sum of the
integrals of f along each of the smooth pieces of C:

4343
Line Integrals
Any physical interpretation of a line integral C f(x, y) ds
depends on the physical interpretation of the function f.
Suppose that (x, y) represents the linear density at a point
(x, y) of a thin wire shaped like a curve C.
Then the mass of the part of the wire from Pi–1 to Pi in
Figure1 is approximately and so the
total mass of the wire is approximately
Figure 1

4444
Line Integrals
By taking more and more points on the curve, we obtain
the mass m of the wire as the limiting value of these
approximations:
[For example, if f(x, y) = 2 + x2y represents the density of a
semicircular wire, then the integral in Example 1 would
represent the mass of the wire.]

4545
Line Integrals
The center of mass of the wire with density function  is
located at the point , where

4646
Line Integrals
Two other line integrals are obtained by replacing si by
either xi = xi – xi–1 or yi = yi – yi–1 in Definition 2.
They are called the line integrals of f along C with
respect to x and y:

4747
Line Integrals
When we want to distinguish the original line integral
C f(x, y) ds from those in Equations 5 and 6, we call it the
line integral with respect to arc length.
The following formulas say that line integrals with respect
to x and y can also be evaluated by expressing everything
in terms of t: x = x(t), y = y(t), dx = x(t) dt, dy = y(t) dt.

4848
Line Integrals
It frequently happens that line integrals with respect to
x and y occur together.
When this happens, it’s customary to abbreviate by writing
C P(x, y) dx + C Q(x, y) dy = C P(x, y) dx + Q(x, y) dy
When we are setting up a line integral, sometimes the most
difficult thing is to think of a parametric representation for a
curve whose geometric description is given.

4949
Line Integrals
In particular, we often need to parametrize a line segment,
so it’s useful to remember that a vector representation of
the line segment that starts at r0 and ends at r1 is given by

5050
Line Integrals
In general, a given parametrization x = x(t), y = y(t), a  t 
b, determines an orientation of a curve C, with the positive
direction corresponding to increasing values of the
parameter t. (See Figure 8, where the initial point A
corresponds to the parameter value a and the terminal
point B corresponds to t = b.)
Figure 8

5151
Line Integrals
If –C denotes the curve consisting of the same points as C
but with the opposite orientation (from initial point B to
terminal point A in Figure 8), then we have
–C f(x, y) dx = – C f(x, y) dx –C f(x, y) dy = – C f(x, y) dy
But if we integrate with respect to arc length, the value of
the line integral does not change when we reverse the
orientation of the curve:
–C f(x, y) ds = C f(x, y) ds
This is because si is always positive, whereas xi and yi
change sign when we reverse the orientation of C.

5353
Line Integrals in Space
We now suppose that C is a smooth space curve given by
the parametric equations
x = x(t) y = y(t) z = z(t) a  t  b
or by a vector equation r(t) = x(t) i + y(t) j + z(t) k.
If f is a function of three variables that is continuous on
some region containing C, then we define the line integral
of f along C (with respect to arc length) in a manner similar
to that for plane curves:

5454
We evaluate it using a formula similar to Formula 3:
Observe that the integrals in both Formulas 3 and 9 can be
written in the more compact vector notation
For the special case f(x, y, z) = 1, we get
where L is the length of the curve C.

5555
Line integrals along C with respect to x, y, and z can also
be defined. For example,
Therefore, as with line integrals in the plane, we evaluate
integrals of the form
by expressing everything (x, y, z, dx, dy, dz) in terms of the
parameter t.

5656
Example 5
Evaluate C y sin z ds, where C is the circular helix given by
the equations x = cos t, y = sin t, z = t, 0  t  2.
(See Figure 9.)
Figure 9

5757
Formula 9 gives

5858
Line Integrals of Vector Fields

5959
Recall that the work done by a variable force f(x) in moving
a particle from a to b along the x-axis is
Then we have found that the work done by a constant force
F in moving an object from a point P to another point Q in
space is W = F  D, where D = is the displacement
vector.
Now suppose that F = P i + Q j + R k is a continuous force
field on . (A force field on could be regarded as a
special case where R = 0 and P and Q depend only on
x and y.)
We wish to compute the work done by this force in moving
a particle along a smooth curve C.

6060
We divide C into subarcs Pi–1Pi with lengths si by dividing
the parameter interval [a, b] into subintervals of equal
width. (See Figure 1 for the two-dimensional case or Figure
11 for the three-dimensional case.)
Figure 1
Figure 11

6161
Choose a point on the ith subarc
corresponding to the parameter value
If si is small, then as the particle moves from Pi–1 to Pi
along the curve, it proceeds approximately in the direction
of the unit tangent vector at

6262
Thus the work done by the force F in moving the particle
from Pi–1 to Pi is approximately
and the total work done in moving the particle along C is
approximately
where T(x, y, z) is the unit tangent vector at the point (x, y,
z) on C.

6363
Intuitively, we see that these approximations ought to
become better as n becomes larger.
Therefore we define the work W done by the force field F
as the limit of the Riemann sums in , namely,
Equation 12 says that work is the line integral with respect
to arc length of the tangential component of the force.

6464
If the curve C is given by the vector equation
r(t) = x(t) i + y(t) j + z(t) k,
then T(t) = r(t)/ |r(t)|, so using Equation 9 we can rewrite
Equation 12 in the form
This integral is often abbreviated as C F  dr and occurs in
other areas of physics as well.

6565
Therefore we make the following definition for the line
integral of any continuous vector field.
When using Definition 13, remember that F(r(t)) is just an
abbreviation for F(x(t), y(t), z(t)), so we evaluate F(r(t))
simply by putting x = x(t), y = y(t), and z = z(t) in the
expression for F(x, y, z).
Notice also that we can formally write dr = r(t) dt.

6666
Example 7
Find the work done by the force field F(x, y) = x2 i – xy j
in moving a particle along the quarter-circle
r(t) = cos t i + sin t j, 0  t  /2.
Solution:
Since x = cos t and y = sin t, we have
F(r(t)) = cos2t i – cos t sin t j
and r(t) = –sin t i + cos t j

6767
Therefore the work done is
cont’d

6868
Finally, we note the connection between line integrals of
vector fields and line integrals of scalar fields. Suppose the
vector field F on is given in component form by the
equation F = P i + Q j + R k.
We use Definition 13 to compute its line integral along C:

6969
But this last integral is precisely the line integral in .
Therefore we have
For example, the integral C y dx + z dy + x dz could be
expressed as C F  dr where
F(x, y, z) = y i + z j + x k

7070
16.3 The Fundamental Theorem for Line Integrals
Recall that Part 2 of the Fundamental Theorem of Calculus
can be written as
where F is continuous on [a, b].
We also called Equation 1 the Net Change Theorem: The
integral of a rate of change is the net change.

7171
The Fundamental Theorem for Line Integrals
If we think of the gradient vector f of a function f of two or
three variables as a sort of derivative of f, then the following
theorem can be regarded as a version of the Fundamental
Theorem for line integrals.

7272
Example 1
Find the work done by the gravitational field
in moving a particle with mass m from the point (3, 4, 12) to
the point (2, 2, 0) along a piecewise-smooth curve C.
Solution:
We know that F is a conservative vector field and, in fact,
F = f, where

7373
Therefore, by Theorem 2, the work done is
W = C F  dr
= C f  dr
= f(2, 2, 0) – f(3, 4, 12)
cont’d

7575
Independence of Paths
Suppose C1 and C2 are two piecewise-smooth curves
(which are called paths) that have the same initial point A
and terminal point B.
We know that, in general, C1
F  dr ≠ C2
F  dr. But one
implication of Theorem 2 is that C1
f  dr = C2
f  dr
whenever f is continuous.
In other words, the line integral of a conservative vector
field depends only on the initial point and terminal point of a
curve.

7676
In general, if F is a continuous vector field with domain D,
we say that the line integral C F  dr is independent of
path if C1
F  dr = C2
F  dr for any two paths C1 and C2 in D
that have the same initial and terminal points.
With this terminology we can say that line integrals of
conservative vector fields are independent of path.
A curve is called closed if its
terminal point coincides with
its initial point, that is,
r(b) = r(a). (See Figure 2.) Figure 2
A closed curve

7777
If C F  dr is independent of path in D and C is any closed
path in D, we can choose any two points A and B on C and
regard C as being composed of the path C1 from A to B
followed by the path C2 from B to A. (See Figure 3.)
Figure 3

7878
Then
C F  dr = C1
F  dr + C2
F  dr = C1
F  dr – –C2
F  dr = 0
since C1 and –C2 have the same initial and terminal points.
Conversely, if it is true that C F  dr = 0 whenever C is a
closed path in D, then we demonstrate independence of
path as follows.
Take any two paths C1 and C2 from A to B in D and define C
to be the curve consisting of C1 followed by –C2.

7979
Then
0 = C F  dr = C1
F  dr + –C2
F  dr = C1
F  dr – C2
F  dr
and so C1
F  dr = C2
F  dr.
Thus we have proved the following theorem.
Since we know that the line integral of any conservative
vector field F is independent of path, it follows that
C F  dr = 0 for any closed path.

8080
The physical interpretation is that the work done by a
conservative force field as it moves an object around a
closed path is 0.
The following theorem says that the only vector fields that
are independent of path are conservative. It is stated and
proved for plane curves, but there is a similar version for
space curves.

8181
We assume that D is open, which means that for every
point P in D there is a disk with center P that lies entirely in
D. (So D doesn’t contain any of its boundary points.)
In addition, we assume that D is connected: this means
that any two points in D can be joined by a path that lies in
D.
The question remains: How is it possible to determine
whether or not a vector field F is conservative? Suppose it
is known that F = P i + Q j is conservative, where P and Q
have continuous first-order partial derivatives. Then there is
a function f such that F = f, that is, and

8282
Therefore, by Clairaut’s Theorem,
The converse of Theorem 5 is true only for a special type of
region.

8383
To explain this, we first need the concept of a simple
curve, which is a curve that doesn’t intersect itself
anywhere between its endpoints. [See Figure 6; r(a) = r(b)
for a simple closed curve, but r(t1) ≠ r(t2) when
a < t1 < t2 < b.]
Figure 6
Types of curves

8484
In Theorem 4 we needed an open connected region. For
the next theorem we need a stronger condition.
A simply-connected region in the plane is a connected
region D such that every simple closed curve in D
encloses only points that are in D.
Notice from Figure 7 that,
intuitively speaking, a
simply-connected region
contains no hole and can’t
consist of two separate pieces.
Figure 7

8585
In terms of simply-connected regions, we can now state a
partial converse to Theorem 5 that gives a convenient
method for verifying that a vector field on is
conservative.

8686
Example 2
Determine whether or not the vector field
F(x, y) = (x – y) i + (x – 2) j
is conservative.
Solution:
Let P(x, y) = x – y and Q(x, y) = x – 2.
Then
Since P/y ≠ Q/x, F is not conservative by Theorem 5.

8888
Conservation of Energy
Let’s apply the ideas of this chapter to a continuous force
field F that moves an object along a path C given by r(t),
a  t  b, where r(a) = A is the initial point and r(b) = B is
the terminal point of C. According to Newton’s Second Law
of Motion, the force F(r(t)) at a point on C is related to the
acceleration a(t) = rn(t) by the equation
F(r(t)) = mrn(t)
So the work done by the force on the object is

8989
Therefore
where v = r is the velocity.
(Fundamental Theorem
of Calculus)
(By formula [u(t)  v(t)]
= u(t)  v(t) + u(t)  v(t))

9090
The quantity that is, half the mass times the
square of the speed, is called the kinetic energy of the
object. Therefore we can rewrite Equation 15 as
W = K(B) – K(A)
which says that the work done by the force field along C is
equal to the change in kinetic energy at the endpoints of C.
Now let’s further assume that F is a conservative force
field; that is, we can write F = f.

9191
In physics, the potential energy of an object at the
point (x, y, z) is defined as P(x, y, z) = –f(x, y, z), so we
have F = –P.
Then by Theorem 2 we have
W = C F  dr
= – C P  dr
= –[P(r(b)) – P(r(a))]
= P(A) – P(B)

9292
Comparing this equation with Equation 16, we see that
P(A) + K(A) = P(B) + K(B)
which says that if an object moves from one point A to
another point B under the influence of a conservative force
field, then the sum of its potential energy and its kinetic
energy remains constant.
This is called the Law of Conservation of Energy and it is
the reason the vector field is called conservative.

Chapter 16 1

More Related Content

What's hot (20)

Similar to Chapter 16 1 (20)

More from EasyStudy3 (20)

Recently uploaded (20)

Chapter 16 1