- 6.6.1 Find the parametric representations of a cylinder, a cone, and a sphere.
- 6.6.2 Describe the surface integral of a scalar-valued function over a parametric surface.
- 6.6.3 Use a surface integral to calculate the area of a given surface.
- 6.6.4 Explain the meaning of an oriented surface, giving an example.
- 6.6.5 Describe the surface integral of a vector field.
- 6.6.6 Use surface integrals to solve applied problems.
We have seen that a line integral is an integral over a path in a plane or in space. However, if we wish to integrate over a surface (a two-dimensional object) rather than a path (a one-dimensional object) in space, then we need a new kind of integral that can handle integration over objects in higher dimensions. We can extend the concept of a line integral to a surface integral to allow us to perform this integration.
Surface integrals are important for the same reasons that line integrals are important. They have many applications to physics and engineering, and they allow us to develop higher dimensional versions of the Fundamental Theorem of Calculus. In particular, surface integrals allow us to generalize Green’s theorem to higher dimensions, and they appear in some important theorems we discuss in later sections.
A surface integral is similar to a line integral, except the integration is done over a surface rather than a path. In this sense, surface integrals expand on our study of line integrals. Just as with line integrals, there are two kinds of surface integrals: a surface integral of a scalar-valued function and a surface integral of a vector field.
However, before we can integrate over a surface, we need to consider the surface itself. Recall that to calculate a scalar or vector line integral over curve C, we first need to parameterize C. In a similar way, to calculate a surface integral over surface S, we need to parameterize S. That is, we need a working concept of a parameterized surface (or a parametric surface), in the same way that we already have a concept of a parameterized curve.
A parameterized surface is given by a description of the form
Notice that this parameterization involves two parameters, u and v, because a surface is two-dimensional, and therefore two variables are needed to trace out the surface. The parameters u and v vary over a region called the parameter domain, or parameter space—the set of points in the uv-plane that can be substituted into r. Each choice of u and v in the parameter domain gives a point on the surface, just as each choice of a parameter t gives a point on a parameterized curve. The entire surface is created by making all possible choices of u and v over the parameter domain.
Given a parameterization of surface the parameter domain of the parameterization is the set of points in the uv-plane that can be substituted into r.
Parameterizing a Cylinder
Describe surface S parameterized by
To get an idea of the shape of the surface, we first plot some points. Since the parameter domain is all of we can choose any value for u and v and plot the corresponding point. If then so point (1, 0, 0) is on S. Similarly, points and are on S.
Although plotting points may give us an idea of the shape of the surface, we usually need quite a few points to see the shape. Since it is time-consuming to plot dozens or hundreds of points, we use another strategy. To visualize S, we visualize two families of curves that lie on S. In the first family of curves we hold u constant; in the second family of curves we hold v constant. This allows us to build a “skeleton” of the surface, thereby getting an idea of its shape.
First, suppose that u is a constant K. Then the curve traced out by the parameterization is which gives a vertical line that goes through point in the xy-plane.
Now suppose that v is a constant K. Then the curve traced out by the parameterization is which gives a circle in plane with radius 1 and center (0, 0, K).
If u is held constant, then we get vertical lines; if v is held constant, then we get circles of radius 1 centered around the vertical line that goes through the origin. Therefore the surface traced out by the parameterization is cylinder (Figure 6.57).
Notice that if and then so points from S do indeed lie on the cylinder. Conversely, each point on the cylinder is contained in some circle for some k, and therefore each point on the cylinder is contained in the parameterized surface (Figure 6.58).
Notice that if we change the parameter domain, we could get a different surface. For example, if we restricted the domain to then the surface would be a half-cylinder of height 6.
Describe the surface with parameterization
It follows from Example 6.58 that we can parameterize all cylinders of the form If S is a cylinder given by equation then a parameterization of S is
We can also find different types of surfaces given their parameterization, or we can find a parameterization when we are given a surface.
Describing a Surface
Describe surface S parameterized by
Notice that if u is held constant, then the resulting curve is a circle of radius u in plane Therefore, as u increases, the radius of the resulting circle increases. If v is held constant, then the resulting curve is a vertical parabola. Therefore, we expect the surface to be an elliptic paraboloid. To confirm this, notice that
Therefore, the surface is elliptic paraboloid (Figure 6.59).
Describe the surface parameterized by
Finding a Parameterization
Give a parameterization of the cone lying on or above the plane
The horizontal cross-section of the cone at height is circle Therefore, a point on the cone at height u has coordinates for angle v. Hence, a parameterization of the cone is Since we are not interested in the entire cone, only the portion on or above plane the parameter domain is given by (Figure 6.60).
Give a parameterization for the portion of cone lying in the first octant.
We have discussed parameterizations of various surfaces, but two important types of surfaces need a separate discussion: spheres and graphs of two-variable functions. To parameterize a sphere, it is easiest to use spherical coordinates. The sphere of radius centered at the origin is given by the parameterization
The idea of this parameterization is that as sweeps downward from the positive z-axis, a circle of radius is traced out by letting run from 0 to To see this, let be fixed. Then
This results in the desired circle (Figure 6.61).
Finally, to parameterize the graph of a two-variable function, we first let be a function of two variables. The simplest parameterization of the graph of is where x and y vary over the domain of (Figure 6.62). For example, the graph of can be parameterized by where the parameters x and y vary over the domain of If we only care about a piece of the graph of —say, the piece of the graph over rectangle —then we can restrict the parameter domain to give this piece of the surface:
Similarly, if S is a surface given by equation or equation then a parameterization of S is
or respectively. For example, the graph of paraboloid can be parameterized by Notice that we do not need to vary over the entire domain of y because x and z are squared.
Let’s now generalize the notions of smoothness and regularity to a parametric surface. Recall that curve parameterization is regular if for all t in For a curve, this condition ensures that the image of r really is a curve, and not just a point. For example, consider curve parameterization The image of this parameterization is simply point which is not a curve. Notice also that The fact that the derivative is zero indicates we are not actually looking at a curve.
Analogously, we would like a notion of regularity for surfaces so that a surface parameterization really does trace out a surface. To motivate the definition of regularity of a surface parameterization, consider parameterization
Although this parameterization appears to be the parameterization of a surface, notice that the image is actually a line (Figure 6.63). How could we avoid parameterizations such as this? Parameterizations that do not give an actual surface? Notice that and and the corresponding cross product is zero. The analog of the condition is that is not zero for point in the parameter domain, which is a regular parameterization.
Parameterization is a regular parameterization if is not zero for point in the parameter domain.
If parameterization r is regular, then the image of r is a two-dimensional object, as a surface should be. Throughout this chapter, parameterizations are assumed to be regular.
Recall that curve parameterization is smooth if is continuous and for all t in Informally, a curve parameterization is smooth if the resulting curve has no sharp corners. The definition of a smooth surface parameterization is similar. Informally, a surface parameterization is smooth if the resulting surface has no sharp corners.
A surface parameterization is smooth if vector is not zero for any choice of u and v in the parameter domain.
A surface may also be piecewise smooth if it has smooth faces but also has locations where the directional derivatives do not exist.
Identifying Smooth and Nonsmooth Surfaces
Which of the figures in Figure 6.64 is smooth?
The surface in Figure 6.64(a) can be parameterized by
(we can use technology to verify). Notice that vectors
exist for any choice of u and v in the parameter domain, and
The k component of this vector is zero only if or If or then the only choices for u that make the j component zero are or But, these choices of u do not make the i component zero. Therefore, is not zero for any choice of u and v in the parameter domain, and the parameterization is smooth. Notice that the corresponding surface has no sharp corners.
In the pyramid in Figure 6.64(b), the sharpness of the corners ensures that directional derivatives do not exist at those locations. Therefore, the pyramid has no smooth parameterization. However, the pyramid consists of five smooth faces, and thus this surface is piecewise smooth.
Is the surface parameterization smooth?
Surface Area of a Parametric Surface
Our goal is to define a surface integral, and as a first step we have examined how to parameterize a surface. The second step is to define the surface area of a parametric surface. The notation needed to develop this definition is used throughout the rest of this chapter.
Let S be a surface with parameterization over some parameter domain D. We assume here and throughout that the surface parameterization is continuously differentiable—meaning, each component function has continuous partial derivatives. Assume for the sake of simplicity that D is a rectangle (although the following material can be extended to handle nonrectangular parameter domains). Divide rectangle D into subrectangles with horizontal width and vertical length Suppose that i ranges from 1 to m and j ranges from 1 to n so that D is subdivided into mn rectangles. This division of D into subrectangles gives a corresponding division of surface S into pieces Choose point in each piece Point corresponds to point in the parameter domain.
Note that we can form a grid with lines that are parallel to the u-axis and the v-axis in the uv-plane. These grid lines correspond to a set of grid curves on surface S that is parameterized by Without loss of generality, we assume that is located at the corner of two grid curves, as in Figure 6.65. If we think of r as a mapping from the uv-plane to the grid curves are the image of the grid lines under r. To be precise, consider the grid lines that go through point One line is given by the other is given by In the first grid line, the horizontal component is held constant, yielding a vertical line through In the second grid line, the vertical component is held constant, yielding a horizontal line through The corresponding grid curves are and and these curves intersect at point
Now consider the vectors that are tangent to these grid curves. For grid curve the tangent vector at is
For grid curve the tangent vector at is
If vector exists and is not zero, then the tangent plane at exists (Figure 6.66). If piece is small enough, then the tangent plane at point is a good approximation of piece
The tangent plane at contains vectors and and therefore the parallelogram spanned by and is in the tangent plane. Since the original rectangle in the uv-plane corresponding to has width and length the parallelogram that we use to approximate is the parallelogram spanned by and In other words, we scale the tangent vectors by the constants and to match the scale of the original division of rectangles in the parameter domain. Therefore, the area of the parallelogram used to approximate the area of is
Varying point over all pieces and the previous approximation leads to the following definition of surface area of a parametric surface (Figure 6.67).
Let with parameter domain D be a smooth parameterization of surface S. Furthermore, assume that S is traced out only once as varies over D. The surface area of S is
Calculating Surface Area
Calculate the lateral surface area (the area of the “side,” not including the base) of the right circular cone with height h and radius r.
Before calculating the surface area of this cone using Equation 6.18, we need a parameterization. We assume this cone is in with its vertex at the origin (Figure 6.68). To obtain a parameterization, let be the angle that is swept out by starting at the positive z-axis and ending at the cone, and let For a height value v with the radius of the circle formed by intersecting the cone with plane is Therefore, a parameterization of this cone is
The idea behind this parameterization is that for a fixed v value, the circle swept out by letting u vary is the circle at height v and radius kv. As v increases, the parameterization sweeps out a “stack” of circles, resulting in the desired cone.
With a parameterization in hand, we can calculate the surface area of the cone using Equation 6.18. The tangent vectors are and Therefore,
The magnitude of this vector is
By Equation 6.18, the surface area of the cone is
Therefore, the lateral surface area of the cone is
The surface area of a right circular cone with radius r and height h is usually given as The reason for this is that the circular base is included as part of the cone, and therefore the area of the base is added to the lateral surface area that we found.
Find the surface area of the surface with parameterization
Calculating Surface Area
Show that the surface area of the sphere is
The sphere has parameterization
The tangent vectors are
Notice that on the parameter domain because and this justifies equation The surface area of the sphere is
We have derived the familiar formula for the surface area of a sphere using surface integrals.
Show that the surface area of cylinder is Notice that this cylinder does not include the top and bottom circles.
In addition to parameterizing surfaces given by equations or standard geometric shapes such as cones and spheres, we can also parameterize surfaces of revolution. Therefore, we can calculate the surface area of a surface of revolution by using the same techniques. Let be a positive single-variable function on the domain and let S be the surface obtained by rotating about the x-axis (Figure 6.69). Let be the angle of rotation. Then, S can be parameterized with parameters x and by
Calculating Surface Area
Find the area of the surface of revolution obtained by rotating about the x-axis (Figure 6.70).
This surface has parameterization
The tangent vectors are Therefore,
The area of the surface of revolution is
Surface Integral of a Scalar-Valued Function
Now that we can parameterize surfaces and we can calculate their surface areas, we are able to define surface integrals. First, let’s look at the surface integral of a scalar-valued function. Informally, the surface integral of a scalar-valued function is an analog of a scalar line integral in one higher dimension. The domain of integration of a scalar line integral is a parameterized curve (a one-dimensional object); the domain of integration of a scalar surface integral is a parameterized surface (a two-dimensional object). Therefore, the definition of a surface integral follows the definition of a line integral quite closely. For scalar line integrals, we chopped the domain curve into tiny pieces, chose a point in each piece, computed the function at that point, and took a limit of the corresponding Riemann sum. For scalar surface integrals, we chop the domain region (no longer a curve) into tiny pieces and proceed in the same fashion.
Let S be a piecewise smooth surface with parameterization with parameter domain D and let be a function with a domain that contains S. For now, assume the parameter domain D is a rectangle, but we can extend the basic logic of how we proceed to any parameter domain (the choice of a rectangle is simply to make the notation more manageable). Divide rectangle D into subrectangles with horizontal width and vertical length Suppose that i ranges from 1 to m and j ranges from 1 to n so that D is subdivided into mn rectangles. This division of D into subrectangles gives a corresponding division of S into pieces Choose point in each piece evaluate at , and multiply by area to form the Riemann sum
To define a surface integral of a scalar-valued function, we let the areas of the pieces of S shrink to zero by taking a limit.
The surface integral of a scalar-valued function of over a piecewise smooth surface S is
Again, notice the similarities between this definition and the definition of a scalar line integral. In the definition of a line integral we chop a curve into pieces, evaluate a function at a point in each piece, and let the length of the pieces shrink to zero by taking the limit of the corresponding Riemann sum. In the definition of a surface integral, we chop a surface into pieces, evaluate a function at a point in each piece, and let the area of the pieces shrink to zero by taking the limit of the corresponding Riemann sum. Thus, a surface integral is similar to a line integral but in one higher dimension.
The definition of a scalar line integral can be extended to parameter domains that are not rectangles by using the same logic used earlier. The basic idea is to chop the parameter domain into small pieces, choose a sample point in each piece, and so on. The exact shape of each piece in the sample domain becomes irrelevant as the areas of the pieces shrink to zero.
Scalar surface integrals are difficult to compute from the definition, just as scalar line integrals are. To develop a method that makes surface integrals easier to compute, we approximate surface areas with small pieces of a tangent plane, just as we did in the previous subsection. Recall the definition of vectors and
From the material we have already studied, we know that
This approximation becomes arbitrarily close to as we increase the number of pieces by letting m and n go to infinity. Therefore, we have the following equation to calculate scalar surface integrals:
In this case, vector is perpendicular to the surface, whereas vector is tangent to the curve.
Calculating a Surface Integral
Calculate surface integral where is the surface with parameterization for and
Notice that this parameter domain D is a triangle, and therefore the parameter domain is not rectangular. This is not an issue though, because Equation 6.19 does not place any restrictions on the shape of the parameter domain.
To use Equation 6.19 to calculate the surface integral, we first find vector and Note that and Therefore,
By Equation 6.19,
Calculating the Surface Integral of a Cylinder
Calculate surface integral where S is cylinder (Figure 6.71).
Calculate where S is the surface with parameterization
Calculating the Surface Integral of a Piece of a Sphere
Calculate surface integral where and S is the surface that consists of the piece of sphere that lies on or above plane and the disk that is enclosed by intersection plane and the given sphere (Figure 6.72).
Notice that S is not smooth but is piecewise smooth; S can be written as the union of its base and its spherical top and both and are smooth. Therefore, to calculate we write this integral as and we calculate integrals and
First, we calculate To calculate this integral we need a parameterization of This surface is a disk in plane centered at To parameterize this disk, we need to know its radius. Since the disk is formed where plane intersects sphere we can substitute into equation
Therefore, the radius of the disk is and a parameterization of is The tangent vectors are and and thus
The magnitude of this vector is u. Therefore,
Now we calculate To calculate this integral, we need a parameterization of The parameterization of full sphere is
Since we are only taking the piece of the sphere on or above plane we have to restrict the domain of To see how far this angle sweeps, notice that the angle can be located in a right triangle, as shown in Figure 6.73 (the comes from the fact that the base of S is a disk with radius Therefore, the tangent of is which implies that is We now have a parameterization of
The tangent vectors are
The magnitude of this vector is
In this example we broke a surface integral over a piecewise surface into the addition of surface integrals over smooth subsurfaces. There were only two smooth subsurfaces in this example, but this technique extends to finitely many smooth subsurfaces.
Calculate line integral where S is cylinder including the circular top and bottom.
Scalar surface integrals have several real-world applications. Recall that scalar line integrals can be used to compute the mass of a wire given its density function. In a similar fashion, we can use scalar surface integrals to compute the mass of a sheet given its density function. If a thin sheet of metal has the shape of surface S and the density of the sheet at point is then mass m of the sheet is
Calculating the Mass of a Sheet
A flat sheet of metal has the shape of surface that lies above rectangle and If the density of the sheet is given by what is the mass of the sheet?
Let S be the surface that describes the sheet. Then, the mass of the sheet is given by To compute this surface integral, we first need a parameterization of S. Since S is given by the function a parameterization of S is
The tangent vectors are and Therefore, and By Equation 6.5,
A piece of metal has a shape that is modeled by paraboloid and the density of the metal is given by Find the mass of the piece of metal.
Orientation of a Surface
Recall that when we defined a scalar line integral, we did not need to worry about an orientation of the curve of integration. The same was true for scalar surface integrals: we did not need to worry about an “orientation” of the surface of integration.
On the other hand, when we defined vector line integrals, the curve of integration needed an orientation. That is, we needed the notion of an oriented curve to define a vector line integral without ambiguity. Similarly, when we define a surface integral of a vector field, we need the notion of an oriented surface. An oriented surface is given an “upward” or “downward” orientation or, in the case of surfaces such as a sphere or cylinder, an “outward” or “inward” orientation.
Let S be a smooth surface. For any point on S, we can identify two unit normal vectors and If it is possible to choose a unit normal vector N at every point on S so that N varies continuously over S, then S is “orientable.” Such a choice of unit normal vector at each point gives the orientation of a surface S. If you think of the normal field as describing water flow, then the side of the surface that water flows toward is the “negative” side and the side of the surface at which the water flows away is the “positive” side. Informally, a choice of orientation gives S an “outer” side and an “inner” side (or an “upward” side and a “downward” side), just as a choice of orientation of a curve gives the curve “forward” and “backward” directions.
Closed surfaces such as spheres are orientable: if we choose the outward normal vector at each point on the surface of the sphere, then the unit normal vectors vary continuously. This is called the positive orientation of the closed surface (Figure 6.74). We also could choose the inward normal vector at each point to give an “inward” orientation, which is the negative orientation of the surface.
A portion of the graph of any smooth function is also orientable. If we choose the unit normal vector that points “above” the surface at each point, then the unit normal vectors vary continuously over the surface. We could also choose the unit normal vector that points “below” the surface at each point. To get such an orientation, we parameterize the graph of in the standard way: where x and y vary over the domain of Then, and and therefore the cross product (which is normal to the surface at any point on the surface) is Since the z component of this vector is one, the corresponding unit normal vector points “upward,” and the upward side of the surface is chosen to be the “positive” side.
Let S be a smooth orientable surface with parameterization For each point on the surface, vectors and lie in the tangent plane at that point. Vector is normal to the tangent plane at and is therefore normal to S at that point. Therefore, the choice of unit normal vector
gives an orientation of surface S.
Choosing an Orientation
Give an orientation of cylinder
This surface has parameterization
The tangent vectors are and To get an orientation of the surface, we compute the unit normal vector
In this case, and therefore
An orientation of the cylinder is
Notice that all vectors are parallel to the xy-plane, which should be the case with vectors that are normal to the cylinder. Furthermore, all the vectors point outward, and therefore this is an outward orientation of the cylinder (Figure 6.75).
Give the “upward” orientation of the graph of
Since every curve has a “forward” and “backward” direction (or, in the case of a closed curve, a clockwise and counterclockwise direction), it is possible to give an orientation to any curve. Hence, it is possible to think of every curve as an oriented curve. This is not the case with surfaces, however. Some surfaces cannot be oriented; such surfaces are called nonorientable. Essentially, a surface can be oriented if the surface has an “inner” side and an “outer” side, or an “upward” side and a “downward” side. Some surfaces are twisted in such a fashion that there is no well-defined notion of an “inner” or “outer” side.
The classic example of a nonorientable surface is the Möbius strip. To create a Möbius strip, take a rectangular strip of paper, give the piece of paper a half-twist, and the glue the ends together (Figure 6.76). Because of the half-twist in the strip, the surface has no “outer” side or “inner” side. If you imagine placing a normal vector at a point on the strip and having the vector travel all the way around the band, then (because of the half-twist) the vector points in the opposite direction when it gets back to its original position. Therefore, the strip really only has one side.
Since some surfaces are nonorientable, it is not possible to define a vector surface integral on all piecewise smooth surfaces. This is in contrast to vector line integrals, which can be defined on any piecewise smooth curve.
Surface Integral of a Vector Field
With the idea of orientable surfaces in place, we are now ready to define a surface integral of a vector field. The definition is analogous to the definition of the flux of a vector field along a plane curve. Recall that if F is a two-dimensional vector field and C is a plane curve, then the definition of the flux of F along C involved chopping C into small pieces, choosing a point inside each piece, and calculating at the point (where N is the unit normal vector at the point). The definition of a surface integral of a vector field proceeds in the same fashion, except now we chop surface S into small pieces, choose a point in the small (two-dimensional) piece, and calculate at the point.
To place this definition in a real-world setting, let S be an oriented surface with unit normal vector N. Let v be a velocity field of a fluid flowing through S, and suppose the fluid has density Imagine the fluid flows through S, but S is completely permeable so that it does not impede the fluid flow (Figure 6.77). The mass flux of the fluid is the rate of mass flow per unit area. The mass flux is measured in mass per unit time per unit area. How could we calculate the mass flux of the fluid across S?
The rate of flow, measured in mass per unit time per unit area, is To calculate the mass flux across S, chop S into small pieces If is small enough, then it can be approximated by a tangent plane at some point P in Therefore, the unit normal vector at P can be used to approximate across the entire piece because the normal vector to a plane does not change as we move across the plane. The component of the vector at P in the direction of N is at P. Since is small, the dot product changes very little as we vary across and therefore can be taken as approximately constant across To approximate the mass of fluid per unit time flowing across (and not just locally at point P), we need to multiply by the area of Therefore, the mass of fluid per unit time flowing across in the direction of N can be approximated by where N, and v are all evaluated at P (Figure 6.78). This is analogous to the flux of two-dimensional vector field F across plane curve C, in which we approximated flux across a small piece of C with the expression To approximate the mass flux across S, form the sum As pieces get smaller, the sum gets arbitrarily close to the mass flux. Therefore, the mass flux is
This is a surface integral of a vector field. Letting the vector field be an arbitrary vector field F leads to the following definition.
Let F be a continuous vector field with a domain that contains oriented surface S with unit normal vector N. The surface integral of F over S is
Notice the parallel between this definition and the definition of vector line integral A surface integral of a vector field is defined in a similar way to a flux line integral across a curve, except the domain of integration is a surface (a two-dimensional object) rather than a curve (a one-dimensional object). Integral is called the flux of F across S, just as integral is the flux of F across curve C. A surface integral over a vector field is also called a flux integral.
Just as with vector line integrals, surface integral is easier to compute after surface S has been parameterized. Let be a parameterization of S with parameter domain D. Then, the unit normal vector is given by and, from Equation 6.20, we have
Therefore, to compute a surface integral over a vector field we can use the equation
Calculating a Surface Integral
Calculate the surface integral where and S is the surface with parameterization
The tangent vectors are and Therefore,
By Equation 6.21,
Therefore, the flux of F across S is 340.
Calculate surface integral where and S is the portion of the unit sphere in the first octant with outward orientation.
Calculating Mass Flow Rate
Let represent a velocity field (with units of meters per second) of a fluid with constant density 80 kg/m3. Let S be hemisphere with such that S is oriented outward. Find the mass flow rate of the fluid across S.
A parameterization of the surface is
As in Example 6.64, the tangent vectors are
and their cross product is
Notice that each component of the cross product is positive, and therefore this vector gives the outward orientation. Therefore we use the orientation for the sphere.
By Equation 6.20,
Therefore, the mass flow rate is
Let m/sec represent a velocity field of a fluid with constant density 100 kg/m3. Let S be the half-cylinder oriented outward. Calculate the mass flux of the fluid across S.
In Example 6.70, we computed the mass flux, which is the rate of mass flow per unit area. If we want to find the flow rate (measured in volume per time) instead, we can use flux integral which leaves out the density. Since the flow rate of a fluid is measured in volume per unit time, flow rate does not take mass into account. Therefore, we have the following characterization of the flow rate of a fluid with velocity v across a surface S:
To compute the flow rate of the fluid in Example 6.68, we simply remove the density constant, which gives a flow rate of
Both mass flux and flow rate are important in physics and engineering. Mass flux measures how much mass is flowing across a surface; flow rate measures how much volume of fluid is flowing across a surface.
In addition to modeling fluid flow, surface integrals can be used to model heat flow. Suppose that the temperature at point in an object is Then the heat flow is a vector field proportional to the negative temperature gradient in the object. To be precise, the heat flow is defined as vector field where the constant k is the thermal conductivity of the substance from which the object is made (this constant is determined experimentally). The rate of heat flow across surface S in the object is given by the flux integral
Calculating Heat Flow
A cast-iron solid cylinder is given by inequalities The temperature at point in a region containing the cylinder is Given that the thermal conductivity of cast iron is 55, find the heat flow across the boundary of the solid if this boundary is oriented outward.
Let S denote the boundary of the object. To find the heat flow, we need to calculate flux integral Notice that S is not a smooth surface but is piecewise smooth, since S is the union of three smooth surfaces (the circular top and bottom, and the cylindrical side). Therefore, we calculate three separate integrals, one for each smooth piece of S. Before calculating any integrals, note that the gradient of the temperature is
First we consider the circular bottom of the object, which we denote We can see that is a circle of radius 1 centered at point sitting in plane This surface has parameterization Therefore,
Since the surface is oriented outward and is the bottom of the object, it makes sense that this vector points downward. By Equation 6.21, the heat flow across is
Now let’s consider the circular top of the object, which we denote We see that is a circle of radius 1 centered at point sitting in plane This surface has parameterization Therefore,
Since the surface is oriented outward and is the top of the object, we instead take vector By Equation 6.21, the heat flow across is
Therefore, the rate of heat flow across S is
A cast-iron solid ball is given by inequality The temperature at a point in a region containing the ball is Find the heat flow across the boundary of the solid if this boundary is oriented outward.
Section 6.6 Exercises
For the following exercises, determine whether the statements are true or false.
If surface S is given by then
If surface S is given by then
Surface is the same as surface for
Given the standard parameterization of a sphere, normal vectors are outward normal vectors.
For the following exercises, find parametric descriptions for the following surfaces.
The frustum of cone
The portion of cylinder in the first octant, for
A cone with base radius r and height h, where r and h are positive constants
For the following exercises, use a computer algebra system to approximate the area of the following surfaces using a parametric description of the surface.
[T] Half cylinder
[T] Plane above square
For the following exercises, let S be the hemisphere with and evaluate each surface integral.
For the following exercises, evaluate for vector field F, where N is an upward pointing normal vector to surface S.
and S is that part of plane that lies above unit square
and S is hemisphere
and S is the portion of plane that lies inside cylinder
For the following exercises, approximate the mass of the lamina that has the shape of given surface S. Round to four decimal places.
[T] S is surface
[T] S is surface
[T] S is surface
Evaluate where S is the surface of cube Assume an outward pointing normal.
Evaluate surface integral where and S is the portion of plane that lies over unit square R:
Evaluate where S is the surface defined parametrically by for
[T] Evaluate where S is the surface defined by
[T] Evaluate where is the surface defined by
Evaluate where S is the surface bounded above by hemisphere and below by plane
Evaluate where S is the portion of plane that lies inside cylinder
[T] Evaluate where S is the portion of cone that lies between planes and
[T] Evaluate where S is the portion of cylinder that lies in the first octant between planes and
[T] Evaluate where S is the part of the graph of in the first octant between the xz-plane and plane
Evaluate if S is the part of plane that lies over the triangular region in the xy-plane with vertices (0, 0, 0), (1, 0, 0), and (0, 2, 0).
Find the mass of a lamina of density in the shape of hemisphere
Compute where and N is an outward normal vector S, where S is the union of two squares and
Compute where and N is an upward pointing normal vector S, where S is the triangular region of the plane in the first octant.
Compute where and N is an outward normal vector S, where S is the surface of sphere
Compute where and N is an outward normal vector S, where S is the surface of the five faces of the unit cube missing
For the following exercises, express the surface integral as an iterated double integral by using a projection on S on the yz-plane.
S is the first-octant portion of plane
S is the portion of the graph of bounded by the coordinate planes and plane
For the following exercises, express the surface integral as an iterated double integral by using a projection on S on the xz-plane
S is the first-octant portion of plane
S is the portion of the graph of bounded by the coordinate planes and plane
Evaluate surface integral where S is the first-octant part of plane where is a positive constant.
Evaluate surface integral where S is hemisphere
Evaluate surface integral where S is surface
Evaluate surface integral where S is the part of plane that lies above rectangle
Evaluate surface integral where S is plane that lies in the first octant.
Evaluate surface integral where S is the part of plane that lies inside cylinder
For the following exercises, use geometric reasoning to evaluate the given surface integrals.