CHANGE OF VARIABLES - Multiple Integrals - Advanced Calculus of Several Variables

Advanced Calculus of Several Variables (1973)

Part IV. Multiple Integrals

Chapter 5. CHANGE OF VARIABLES

The student has undoubtedly seen change of variables formulas such as

Image

and

Image

which result from changes from rectangular coordinates to polar and spherical coordinates respectively. The appearance of the factor r in the first formula and the factor ρ2 sin φ in the second one is sometimes “explained” by mythical pictures, such as Figure 4.24, in which it is alleged that dA is an “infinitesimal”

Image

Figure 4.24

rectangle with sides dr and r dθ, and therefore has area r dr dθ. In this section we shall give a mathemtaically acceptable explanation of the origin of such factors in the transformation of multiple integrals from one coordinate system to another.

This will entail a thorough discussion of the technique of substitution for multivariable integrals. The basic problem is as follows. Let T : ImagenImagen be a mapping which is Image (continuously differentiable) and also Image-invertible on some neighborhood U of the set Image, meaning that T is one-to-one on U and that T−1 : T(U) → U is also a Image mapping. Given an integrable function f : T(A) → Image, we would like to “transform” the integral ∫T(A) f into an appropriate integral over A (which may be easier to compute).

For example, suppose we wish to compute ∫Q f, where Q is an annular sector in the plane Image2, as pictured in Fig. 4.25. Let T : Image2Image2 be the “polar coordinates” mapping defined by T(r, θ) = (r cos θ, r sin θ). Then Q = T(A), where A is the rectangle Image. If ∫Q f can be transformed into an integral over A then, because A is a rectangle, the latter integral will be amenable to computation by iterated integrals (Fubini's theorem).

Image

Figure 4.25

The principal idea in this discussion will be the local approximation of the transformation T by its differential linear mapping dT. Recall that dTa : ImagenImagen is that linear mapping which “best approximates” the mapping hT(a + h) − T(a) in a neighborhood of the point Image, and that the matrix of dTa is the derivative matrix T′(a) = (DjTi(a)), where T1, . . . , Tn are the component functions of T : ImagenImagen.

We therefore discuss first the behavior of volumes under linear distortions. That is, given a linear mapping λ : ImagenImagen and a contented set Image, we investigate the relationship between v(A) and v(λ(A)) [assuming, as we will prove, that the image λ(A) is also contented]. If λ is represented by the n × n matrix A, that is, λ(x) = Ax, we write

Image

Theorem 5.1 If λ : ImagenImagen is a linear mapping, and Image is contented, then λ(B) is also contented, and

Image

PROOFFirst suppose that det λ = 0, so the column vectors of the matrix of λ are linearly dependent (see by Theorem I.6.1). Since these column vectors are the images under λ of the standard unit vectors e1, . . . , en in Imagen, it then follows that λ(Imagen) is a proper subspace of Imagen. Since it is easily verified that any bounded subset of a proper subspace of Imagen is negligible (Exercise 5.1), we see that (1) is trivially satisfied if det λ = 0.

If det λ ≠ 0, then a standard theorem of linear algebra asserts that the matrix A of λ can be written as a product

Image

where each Ai is either of the form

Image

or of the form

Image

Hence λ is a composition λ = λ1 Image λ2 Image · · · Image λk, where λi is the linear mapping represented by the matrix Ai.

If Ai is of the form (2), with a appearing in the pth row and column, then

Image

so it is clear that, if I is an interval, then λi(I) is also an interval, with v(λi(I)) = ImageaImagev(I). From this, and the definition of volume in terms of intervals, it follows easily that, if B is a contented set, then λi(B) is contented with v(λi(B)) = ImageaImagev(B) = Image det λiImage v(B).

We shall show below that, if Ai is of the form (3), then v(λi(B)) = v(B) = Imagedet λiImagev(B) for any contented set. Granting this, the theorem follows, because we then have

Image

as desired, since the determinant of a product of matrices is the product of their determinants.

So it remains only to verify that λi preserves volumes if the matrix Ai of λi is of the form (3). We consider the typical case in which the off-diagonal element of Ai is in the first row and second column, that is,

Image

so

Image

We show first that λi preserves the volume of an interval

Image

If we write I = I′ × I″ where Image and Image, then (4) shows that

Image

where I* is the pictured parallelogram in Image2 (Fig. 4.26). Since it is clear that v(I*) = v(I′), Exercise 4.1 gives

Image

Image

Figure 4.26

Now let B be a contented set in Imagen, and, given ε > 0, consider nonoverlapping intervals I1, . . . , Ip and intervals J1, . . . , Jq such that

Image

and

Image

Since we have seen that λi preserves the volumes of intervals, we then have

Image

and

Image

Finally it follows easily from these inequalities that λi(B) is contented, with v(λi(B)) = v(B) as desired (see Exercise 5.2).

Image

We are now in a position to establish the invariance of volume under rigid motions.

Corollary 5.2 If Image is a contented set and ρ : ImagenImagen is a rigid motion, then ρ(A) is contented and v(ρ(A)) = v(A).

The statement that ρ is a rigid motion means that ρ = τa Image μ, where τa is the translation by a, τa(x) = x + a, and μ is an orthogonal transformation, so that Image det μ Image = 1 (see Exercise 1.6.10). The fact that ρ(A) is contented with v(ρ(A)) = v(A) therefore follows immediately from Theorem 5.1.

Example 1 Consider the ball

Image

of radius r in Imagen. Note that Brn is the image of the unit n-dimensional ball Image under the linear mapping T(x) = rx. Since Image det TImage = Image det T Image = rn, Theorem 5.1 gives

Image

Thus the volume of an n-dimensional ball is proportional to the nth power of its radius. Let αn denote the volume of the unit n-dimensional ball B1n, so

Image

In Exercises 5.17, 5.18, and 5.19, we shall see that

Image

These formulas are established by induction on m, starting with the familiar α2 = π and α3 = 4π/3.

In addition to the effect on volumes of linear distortions, discussed above, a key ingredient in the derivation of the change of variables formula is the fact that, if F : ImagenImagen is a Image mapping such that dF0 = I (the identity transformation of Imagen), then in a sufficiently small neighborhood of 0, F differs very little from the identity mapping, and in particular does not significantly alter the volumes of sets within this neighborhood.

This is the effect of the following lemma, which was used in the proof of the inverse function theorem in Chapter III. Recall that the norm ImageλImage of the linear mapping λ : ImagenImagen is by definition the maximum value of Imageλ(x)Image0 for all Image, where

Image

and Image. Thus Cr is a “cube” centered at 0 with (r, r, . . . , r) as one vertex, and is referred to as “the cube of radius r centered at the origin.”

The lemma then asserts that, if dFx differs (in norm) only slightly from the identity mapping I for all Image, then the image F(Cr) contains a cube slightly smaller than Cr, and is contained in one slightly larger than Cr.

Lemma 5.3 (Lemma III.3.2) Let U be an open set in Imagen containing Cr, and F : UImagen a Image mapping such that F(0) = 0 and dF0 = I. Suppose also that there exists Image such that

Image

for all Image. Then

Image

(see Fig. 4.27).

Now let Q be an interval centered at the point Image, and suppose that T : UImagen is a Image-invertible mapping on a neighborhood U of Q. Suppose in addition that the differential dTx is almost constant on Q, dTxdTa, and in particular that

Image

Image

Figure 4.27

for all x Image Q. Also let Q1−ε and Q1+ε be intervals centered at a and both “similar” to Q, with each edge of Qε equal (in length) to 1 ± ε times the corresponding edge of Q, so v(Qε) = (1 ± ε)nv(Q). (see Fig. 4.28.)

Then the idea of the proof of Theorem 5.4 below is to use Lemma 5.3 to show that (6) implies that the image set T(Q) closely approximates the “parallelepiped” dTa(Q), in the sense that

Image

It will then follow from Theorem 5.1 that

Image

Image

Figure 4.28

Theorem 5.4 Let Q be an interval centered at the point Image, and suppose T : UImagen is a Image-invertible mapping on a neighborhood U of Q. If there exists Image such that

Image

for all x Image Q, then T(Q) is contented with

Image

PROOFWe leave to Exercise 5.3 the proof that T(Q) is contented, and proceed to verify (7).

First suppose that Q is a cube of radius r. Let τa denote translation by a, τa(x) = a + x, so τa(Cr) = Q. Let b = T(a), and λ = dTa. Let F = λ−1 Image τb−1 Image T Imageτa (see Fig. 4.29).

By the chain rule we obtain

Image

Since the differential of a translation is the identity mapping, this gives

Image

for all Image. Consequently hypothesis (6) implies that F : CrImagen satisfies (5). Consequently Lemma 5.3 applies to yield

Image

Image

Figure 4.29

so

Image

Since Image, Theorem 5.1 implies that

Image

Since v(Q) = v(Cr), we therefore obtain (7) upon multiplication of (8) by Image det T′(a)Image. This completes the proof in case Q is a cube.

If Q is not a cube, let ρ : ImagenImagen be a linear mapping such that ρ(C1) is congruent to Q, and τa Image ρ(C1) = Q in particular. Then v(Q) = Image det ρ Image v(C1) by Theorem 5.1. Let

Image

Then the chain rule gives

Image

because dρ = ρ since ρ is linear. Therefore

Image

by (6), so S : C1Imagen itself satisfies the hypothesis of the theorem, with C1 a cube.

What we have already proved therefore gives

Image

Since S(C1) = T(Q) and

Image

this last inequality is (7) as desired.

Image

Since (1 ± ε)n ≈ 1 if ε is very small, the intuitive content of Theorem 5.4 is that, if dTx is approximately equal to dTa for all x Image Q (and this should be true if Q is sufficiently small), then v(T(Q)) is approximately equal to Image det T′(a)Imagev(Q). Thus the factor Image det T′(a)Image seems to play the role of a “local magnification factor.” With this interpretation of Theorem 5.4, we can now give a heuristic derivation of the change of variables formula for multiple integrals.

Suppose that T : ImagenImagen is Image-invertible on a neighborhood of the interval Q, and suppose that f : ImagenImage is an integrable function such that f Image T is also integrable.

Let Image = {Q1, . . . , Qk} be a partition of Q into very small subintervals, and Image = {a1, . . . , ak} the selection for Image such that ai is the center-point of Qi (Fig. 4.30). Then

Image

The proof of the main theorem is a matter of supplying enough epsilonics to convert the above discussion into a precise argument.

Image

Figure 4.30

Theorem 5.5Let Q be an interval in Imagen, and T : ImagenImagen a mapping which is Image-invertible on a neighborhood of Q. If f : ImagenImage is an integrable function such that f Image T is also integrable, then

Image

PROOFLet η > 0 be given to start with. Given a partition Image = {Q1, . . . , Qk} of Q, let Image = {a1, . . . , ak} be the selection consisting of the center-points of the intervals of Image. By Theorem 3.4 there exists δ1 > 0 such that

Image

if mesh Image < δ1, where R denotes the Riemann sum

Image

Choose A > 0 and M > 0 such that

Image

for all x Image Q. This is possible because det T′(x) is continuous (hence bounded) on Q, and f Image T is integrable (hence bounded) on Q. If

Image

then

Image

where

Image

By Theorem 3.4 there exists δ2 > 0 such that, if mesh Image < δ2, then any two Riemann sums for f Image T on Image differ by less than η/6A, because each differs from ∫Qf Image T by less than η/12A. It follows that

Image

because there are Riemann sums for f Image T arbitrarily close to both Image and Image. Hence (11) and (12) give

Image

because each Δi < A. Summarizing our progress thus far, we have the Riemann sum R which differs from ∫Q (f Image T)Image det TImage by less than η/2, and lies between the two numbers α and β, which in turn differ by less than η/6.

Next we want to locate ∫T(Q)f between two numbers α′ and β′ which are close to α and β, respectively. Since the sets T(Qi) are contented (by Exercise 5.3) and intersect only in their boundaries,

Image

by Proposition 2.7. Therefore

Image

by Proposition 2.5. Our next task is to estimate α′ − α and β′ − β, and this is where Theorem 5.4 will come into play.

Choose Image such that

Image

Since T is Image-invertible in a neighborhood of Q, we can choose an upper bound B for the value of the norm Image. By uniform continuity there exists δ3 > 0 such that, if mesh Image < δ3, then

Image

for all Image. This in turn implies that

Image

for all Image. Consequently Theorem 5.4 applies to show that v(T(Qi)) lies between

Image

as does Δi v(Qi).

It follows that

Image

if the mesh of Image is less than δ3. We now fix the partition Image with mesh less than δ = min(δ1, δ2, δ3). Then

Image

by (15) and (16). Similarly

Image

We are finally ready to move in for the kill. If α* = min(α, α′) and β* = max(β, β′) then, by (11) and (14), both R and ∫T(Q) f lie between α* and β*.

Since (13), (17), and (18) imply that β*α* < η/2, it follows that

Image

Thus ∫T(Q) f and ∫Q (f Image T)Imagedet TImage both differ from R by less than η/2, so

Image

This being true for every η > 0, we conclude that

Image

Theorem 5.5 is not quite general enough for some of the standard applications of the change of variables formula. However, the needed generalizations are usually quite easy to come by, the real work having already been done in the proof of Theorem 5.5. For example, the following simple extension will suffice for most purposes.

Addendum 5.6 The conclusion of Theorem 5.5 still holds if the Image mapping T : ImagenImagen is only assumed to be Image-invertible on the interior of the interval Q (instead of on a neighborhood of Q).

PROOFLet Q* be an interval interior to Q, and write K = Q − int Q* (Fig. 4.31). Then Theorem 5.5 as stated gives

Image

Image

Figure 4.31

But

Image

and

Image

and the integrals over K and T(K) can be made as small as desired by making the volume of K, and hence that of T(K), sufficiently small. The easy details are left to the student (Exercise 5.4).

Image

Example 2Let A denote the annular region in the plane bounded by the circles of radii a and b centered at the origin (Fig. 4.32). If T : Image2Image2 is the “polar coordinates mapping” defined by

Image

Image

Figure 4.32

(for clarity we use r and θ as coordinates in the domain, and x and y as coordinates in the image), then A is the image under T of the rectangle

Image

T is not one-to-one on Q, because T(r, 0) = T(r, 2π), but is Image-invertible on the interior of Q, so Addendum 5.6 gives

Image

Since Imagedet T′(r, θ)Image = r, Fubini's theorem then gives

Image

Example 3Let A be an “ice cream cone” bounded above by the sphere of radius 1 and below by a cone with vertex angle π/6 (Fig. 4.33). If T: Image3Image3 is the “spherical coordinates mapping” defined by

Image

then A is the image under T of the interval

Image

Image

Figure 4.33

T is not one-to-one on Q (for instance, the image under T of the back face ρ = 0 of Q is the origin), but is Image-invertible on the interior of Q, so Addendum 5.6 together with Fubini's theorem gives

Image

since Imagedet T′(ρ, φ, θ)Image = ρ2 sin φ.

Example 4To compute the volume of the unit ball Image, take f(x) ≡ 1, T the spherical coordinates mapping of Example 2, and

Image

Then T(Q) = B3, and T is Image-invertible on the interior of Q. Therefore Addendum 5.6 yields

Image

the familiar answer.

In integration problems that display an obvious cylindrical or spherical symmetry, the use of polar or spherical coordinates is clearly indicated. In general, in order to evaluate ∫Rf by use of the change of variables formula, one chooses the transformation T (often in an ad hoc manner) so as to simplify either the function f or the region R (or both). The following two examples illustrate this.

Example 5Suppose we want to compute

Image

where R is the region in the first quadrant which is bounded by the coordinate axes and the curve Image (a parabola). The substitution Image seems promising (it simplifies the integrand considerably), so we consider the mapping T from uv-space to xy-space defined by x = u2, y = v2 (see Fig. 4.34). It maps onto R the triangle Q in the uv-plane bounded by the co-

Image

Figure 4.34

ordinate axes and the line u + v = 1. Now det T′ = 4uv, so the change of variables formula (which applies here, by Exercise 5.4) gives

Image

This iterated integral (obtained from Theorem 4.3) is now easily evaluated using integration by substitution (we omit the details).

Example 6Consider ∫∫R (x2 + y2) dx dy, where R is the region in the first quadrant that is bounded by the hyperbolas xy = 1, xy = 3, x2y2 = 1, and x2y2 = 4. We make the substitution u = xy, v = x2y2 so as to simplify the region; this transformation S from xy-space to uv-space maps the region R onto the rectangle Q bounded by the lines u = 1, u = 3, v = 1, v = 4 (see Fig. 4.35). From u = xy, v = x2y2 we obtain

Image

Image

Figure 4.35

The last two equations imply that S is one-to-one on R; we are actually interested in its inverse T = S−1. Since S Image T = I, the chain rule gives S′(T(u, v)) Image T′(u, v) = I, so

Image

Consequently the change of variables formula gives

Image

Multiple integrals are often used to compute mass. A body with mass consists of a contented set A and an integrable density function μ : AImage; its mass M(A) is then defined by

Image

Example 7Let A be the ellipsoidal ball Image, with its density function μ being constant on concentric ellipsoids. That is, there exists a function g : [0, 1] → Image such that μ(x) = g(ρ) at each point x of the ellipsoid

Image

In order to compute M(A), we intoduce ellipsoidal coordinates by

Image

The transformation T defined by these equations maps onto A the interval

Image

and is invertible on the interior of Q. Since det T′ = abcρ2 sin φ, Addendum 5.6 gives

Image

For instance, taking g(ρ) ≡ 1 (uniform unit density), we see that the volume of the ellipsoid Image is Image (as seen previously in Exercise 4.6).

A related application of multiple integrals is to the computation of force. A force field is a vector-valued function, whereas we have thus far integrated only scalar-valued functions. The function G : ImagenImagem is said to be integrable on Image if and only if each of its component functions g1, . . . , gm is, in which case we define

Image

Thus vector-valued functions are simply integrated componentwise.

As an example, consider a body A with density function μ : AImage, and let ξ be a point not in A. Motivated by Newton's law of gravitation, we define the gravitational force exerted by A, on a particle of mass m situated at ξ, to be the vector

Image

where γ is the “gravitational constant.”

For example, suppose that A is a uniform rod (μ = constant) coincident with the unit interval [0, 1] on the x-axis, and ξ = (0, 1). (see Fig. 4.36.) Then the gravitational force exerted by the rod A on a unit mass at ξ is

Image

For a more interesting example, see Exercises 5.13 and 5.14.

We close this section with a discussion of some of the classical notation and terminology associated with the change of variables formula. Given a differentiable mapping T : ImagenImagen, recall that the determinant det T′(a) of the deriva-

Image

Figure 4.36

tive matrix T′(a) is called the Jacobian (determinant) of T at a. A standard notation (which we have used in Chapter III) for the Jacobian is

Image

where T1, . . . , Tn are as usual the component functions of T, thought of as a mapping from u-space (with coordinates u1, . . . , un) to x-space (with coordinates x1, . . . , xn). If we replace the component functions T1, . . . , Tn in the Jacobian by the variables x1, . . . , xn which they give,

Image

then the change of variables formula takes the appealing form

Image

With the abbreviations

Image

and

Image

the above formula takes the simple form

Image

This form of the change of variables formula is particularly pleasant because it reads the same as the familar substitution rule for single-variable integrals (Theorem 1.7), taking into account the change of sign in a single-variable integral which results from the interchange of its limits of integration.

This observation leads to an interpretation of the change of variables formula as the result of a “mechanical” substitution procedure. Suppose T is a differentiable mapping from uv-space to xy-space. In the integral ∫T(Q) f(x, y) dx dy we want to make the substitutions

Image

suggested by the chain rule. In formally multiplying together these two “differential forms,” we agree to the conventions

Image

for no other reason than that they are necessary if we are to get the “right” answer. We then obtain

Image

Note that, to within sign, this result agrees with formula (20), according to which dx dy should be replaced by Image(x, y)/(u, v)Imagedu dv when the integral is transformed.

Thus the change of variables (x, y) = T(u, v) in a 2-dimensional integral ∫T(Q)f(x, y) dx dy may be carried out in the following way. First replace x and y in f(x, y) by their expressions in terms of u and v, then multiply out dx dy as above using (21) and (22), and finally replace the coefficient of du dv, which is obtained, by its absolute value,

For example, in a change from rectangular to polar coordinates, we have x = r cos θ and y = r sin θ, so

Image

where the sign is correct because Image.

The relation dv du = −du dv requires a further comment. Once having agreed upon u as the first coordinate and v as the second one, we agree that

Image

while

Image

So, in writing multidimensional integrals with differential notation, the order of the differentials in the integrand makes a difference (of sign). This should be contrasted with the situation in regards to iterated integrals, such as

Image

in which the order of the differentials indicates the order of integration. If parentheses are consistently used to indicate iterated integrals, no confusion between these two different situations should arise.

The substitution process for higher-dimensional integrals is similar. For example, the student will find it instructive to verify that, with the substitution

Image

formal multiplication, using the relations

Image

yields

Image

(Exercise 5.20). These matters will be discussed more fully in Chapter V.

Exercises

5.1Let A be a bounded subset of Imagek, with k < n. If f: ImagekImagen is a Image mapping, show that f(A) is negligible. Hint: Let Q be a cube in Imagek containing A, and Image a partition of Q into Nk cubes with edgelength r/N, where r is the length of the edges of Q. Since f is Imageon Q, there exists c such that Image for all Image. It follows that Image.

5.2Show that A is contented if and only if, given ε > 0, there exist contented sets A1 and A2 such that Image and v(A2A1) < ε.

5.3(a) If Image is negligible and T: ImagenImagen is a Image mapping, show that T(A) is negligible. Hint: Apply the fact that, given an interval Q containing A, there exists c > 0 such that ImageT(x) − T(y)Image < cImagex − yImage for all Image.

(b) If A is a contented set in Imagen and T: ImagenImagen is a Image mapping which is Image-invertible on the interior of A, show that T(A) is contented. Hint: Show that Image, and then apply (a).

5.4Establish the conclusion of Theorem 5.5 under the hypothesis that Q is a contented set such that T is Image-invertible on the interior of Q. Hint: Let Q1, . . . , Qk be nonoverlapping intervals interior to Q, and Image. Then

Image

by Theorem 5.5. Use the hint for Exercise 5.3(a) to show that v(T(K)) can be made arbitrarily small by making v(K) sufficiently small.

5.5Consider the n-dimensional solid ellipsoid

Image

Note that E is the image of the unit ball Bn under the mapping T: ImagenImagen defined by

Image

Apply Theorem 5.1 to show that v(E) = a1 a2 · · · anv(Bn). For example, the volume of the 3-dimensional ellipsoid Image is Image.

5.6Let R be the solid torus in Image3 obtained by revolving the circle Image, in the yz-plane, about the z-axis. Note that the mapping T: Image3Image3 defined by

Image

maps the interval Image and Image onto this torus. Apply the change of variables formula to calculate its volume.

5.7Use the substitution u = x − y, v = x + y to evaluate

Image

where R is the first quadrant region bounded by the coordinate axes and the line x + y = 1.

5.8Calculate the volume of the region in Image3 which is above the xy-plane, under the paraboloid z = x2 + y2, and inside the elliptic cylinder x2/9 + y2/4 = 1. Use elliptical coordinates x = 3r cos θ, y = 2r sin θ.

5.9Consider the solid elliptical rod bounded by the xy-plane, the plane z = αx + βy + h through the point (0, 0, h) on the positive z-axis, and the elliptical cylinder x2/a2 + y2/b2 = 1. Show that its volume is πabh (independent of α and β). Hint: Use elliptical coordinates x = ar cos θ, y = br sin θ.

5.10Use “double polar” coordinates defined by the equations

Image

to show that the volume of the unit ball Image is Image.

5.11Use the transformation defined by

Image

to evaluate

Image

where R is the region in the first quadrant of the xy-plane which is bounded by the circles x2 + y2 = 6x, x2 + y2 = 4x, x2 + y2 = 8y, x2 + y2 = 2y.

5.12Use the transformation T from rθt-space to xyz-space, defined by

Image

to find the volume of the region R which lies between the paraboloids z = x2 + y2 and z = 4(x2 + y2), and also between the planes z = 1 and z = 4.

5.13Consider a spherical ball of radius a centered at the origin, with a spherically symmetric density function d(x) = g(ρ).

(a)Use spherical coordinates to show that its mass is

Image

(b)Show that the gravitational force exerted by this ball on a point mass m located at the point ξ = (0, 0, c), with c > a, is the same as if its mass were all concentrated at the origin, that is,

Image

Hint:Because of symmetry considerations, you may assume that the force is directed toward 0, so only its z-component need be explicitly computed. In spherical coordinates (see Fig. 4.37),

Image

Image

Figure 4.37

Change the second variable of integration from φ to w, using the relations

Image

so 2w dw = 2ρc sin φ dφ, and w cos α + ρ cos φ = c (why ?).

5.14Consider now a spherical shell, centered at the origin and defined by Image, with a spherically symmetric density function. Show that this shell exerts no gravitational force on a point mass m located at the point (0, 0, c) inside it (that is, c < a). Hint: The computation is the same as in the previous problem, except for the limits of integration on ρ and w.

5.15Volume of Revolution. Suppose g : [a, b] → Image is a positive-valued continuous function, and let

Image

Denote by C the set generated by revolving A about the z-axis (Fig. 4.38); that is,

Image

Image

Figure 4.38

We wish to calculate v(C) = ∫c 1. Noting that C is the image of the contented set

Image

under the cylindrical coordinates mapping T : Image3Image3 defined by T(r, θ, z) = (r cos θ, r sin θ, z), show that the change of variable and repeated integrals theorems apply to give

Image

5.16Let A be a contented set in the right half xz-plane x > 0. Define Image, the x-coordinate of the centroid of A, by Image = [1/v(A)] ∫∫A x dx dz. If C is the set obtained by revolving A about the z-axis, that is,

Image

then Pappus' theorem asserts that

Image

that is, that the volume of C is the volume of A multiplied by the distance traveled by the centroid of A. Note that C is the image under the cylindrical coordinates map of the set

Image

Apply the change of variables and iterated integrals theorems to deduce Pappus' theorem.

The purpose of each of the next three problems is to verify the formulas

Image

given in this section, for the volume αn of the unit n-ball Image.

5.17(a)Apply Cavalieri's principle and appropriate substitutions to obtain

Image

Conclude that αn = 4αn−2 In In−1.

(b)Deduce from Exercise 1.8 that In In−1 = π/2n if Image. Hence

Image

(c)Use the recursion formula (#) to establish, by separate inductions on m, formulas (*), starting with α2 = π and α3 = 4π/3.

5.18In this problem we obtain the same recursion formula without using the formulas for I2n and I2n+1. Let

Image

and Image: each Image. Then Image. Let φ : B2 × QImage be the characteristic function of Bn. Then

Image

Note that, if Image is a fixed point, then φ, as a function of (x3, . . . , xn), is the characteristic function of Image. Hence

Image

Now introduce polar coordinates in Image to show that

Image

so that αn = (2π/n)αn−2 as before.

5.19The n-dimensional spherical coordinates mapping T: ImagenImagen is defined by

Image

and maps the interval

Image

onto the unit ball Bn.

(a)Prove by induction on n that

Image

(b)Then

Image

where Image. Now use the fact that

Image

(by Exercise 1.8) to establish formulas (*).

5.20Verify formulas (23) of this section.