APPENDIX 4

Additional Proofs

image

Section 2.6, page 74

PROOF OF THEOREM 1 Uniqueness1

Assuming that the problem consisting of the ODE

image

and the two initial conditions

image

has two solutions y1(x) and y2(x) on the interval I in the theorem, we show that their difference

image

is identically zero on I; then y1y2 on I, which implies uniqueness.

Since (1) is homogeneous and linear, y is a solution of that ODE on I, and since y1 and y2 satisfy the same initial conditions, y satisfies the conditions

image

We consider the function

image

and its derivative

image

From the ODE we have

image

By substituting this in the expression for z′ we obtain

image

Now, since y and y′ are real,

image

From this and the definition of z we obtain the two inequalities

image

From (13b) we have 2yyimagez. Together, |2yy′| imagez. For the last term in (12) we now obtain

image

Using this result as well as −p image |p| and applying (13a) to the term 2yy′ in (12), we find

image

Since y2 image y2 + y2 = z, from this we obtain

image

or, denoting the function in parentheses by h,

image

Similarly, from (12) and (13) it follows that

image

The inequalities (14a) and (14b) are equivalent to the inequalities

image

Integrating factors for the two expressions on the left are

image

The integrals in the exponents exist because h is continuous. Since F1 and F2 are positive, we thus have from (15)

image

This means that F1z is nonincreasing and F2z is nondecreasing on I. Since z(x0) = 0 by (11), when x image x0 we thus obtain

image

and similarly, when x image x0,

image

Dividing by F1 and F2 and noting that these functions are positive, we altogether have

image

This implies that z =y2 + y2 ≡ 0 on I. Hence y ≡ 0 or y1y2 on I.

Section 5.3, page 182

PROOF OF THEOREM 2 Frobenius Method. Basis of Solutions. Three Cases

The formula numbers in this proof are the same as in the text of Sec. 5.3. An additional formula not appearing in Sec. 5.3 will be called (A) (see below).

The ODE in Theorem 2 is

image

where b(x) and c(x) are analytic functions. We can write it

image

The indicial equation of (1) is

image

The roots r1, r2 of this quadratic equation determine the general form of a basis of solutions of (1), and there are three possible cases as follows.

Case 1. Distinct Roots Not Differing by an Integer. A first solution of (1) is of the form

image

and can be determined as in the power series method. For a proof that in this case, the ODE (1) has a second independent solution of the form

image

see Ref. [A11] listed in App. 1.

Case 2. Double Root. The indicial equation (4) has a double root r if and only if (b0 − 1)2 − 4c0 = 0, and then image A first solution

image

can be determined as in Case 1. We show that a second independent solution is of the form

image

We use the method of reduction of order (see Sec. 2.1), that is, we determine u(x) such that y2(x) = u(x)y1(x) is a solution of (1). By inserting this and the derivatives

image

into the ODE (1′) we obtain

image

Since y1 is a solution of (1′), the sum of the terms involving u is zero, and this equation reduces to

image

By dividing by x2y1 and inserting the power series for b we obtain

image

Here, and in the following, the dots designate terms that are constant or involve positive powers of x. Now, from (7), it follows that

image

Hence the previous equation can be written

image

Since r = (1 − b0)/2, the term (2r + b0)/x equals 1/x, and by dividing by u′ we thus have

image

By integration we obtain ln u′ = −ln x + …, hence u′ = (1/x) e(…). Expanding the exponential function in powers of x and integrating once more, we see that u is of the form

image

Inserting this into y2 =uy1, we obtain for y2 a representation of the form (8).

Case 3. Roots Differing by an Integer. We write r1 = r and r2 = rp where p is a positive integer. A first solution

image

can be determined as in Cases 1 and 2. We show that a second independent solution is of the form

image

where we may have k ≠ 0 or k = 0. As in Case 2 we set y2 = uy1. The first steps are literally as in Case 2 and give Eq. (A),

image

Now by elementary algebra, the coefficient b0 − 1 of r in (4) equals minus the sum of the roots,

image

Hence 2r + b0 = p + 1, and division by u′ gives

image

The further steps are as in Case 2. Integrating, we find

image

where dots stand for some series of nonnegative integer powers of x. By expanding the exponential function as before we obtain a series of the form

image

We integrate once more. Writing the resulting logarithmic term first, we get

image

Hence, by (9) we get for y2 = uy1 the formula

image

But this is of the form (10) with k = kp since r1p = r2 and the product of the two series involves nonnegative integer powers of x only.

Section 7.7, page 293

THEOREM Determinants

The definition of a determinant

image

as given in Sec. 7.7 is unambiguous, that is, it yields the same value of D no matter which rows or columns we choose in the development.

PROOF

In this proof we shall use formula numbers not yet used in Sec. 7.7.

We shall prove first that the same value is obtained no matter whichrow is chosen.

The proof is by induction. The statement is true for a second-order determinant, for which the developments by the first row a11a22 + a12(−a21) and by the second row a21(−a12) + a22a11 give the same value a11a22a12a21. Assuming the statement to be true for an (n − 1) st-order determinant, we prove that it is true for an nth-order determinant.

For this purpose we expand D in terms of each of two arbitrary rows, say, the ith and the jth, and compare the results. Without loss of generality let us assume i < j.

First Expansion. We expand D by the ith row. A typical term in this expansion is

image

The minor Mik of aik in D is an (n − 1)st-order determinant. By the induction hypothesis we may expand it by any row. We expand it by the row corresponding to the jth row of D. This row contains the entries ajl (lk). It is the (j − 1) st row of Mik, because Mik does not contain entries of the ith row of D, and i < j. We have to distinguish between two cases as follows.

Case I. If l < k, then the entry aij belongs to the lth column of Mik (see Fig. 561). Hence the term involving ajl in this expansion is

image

where Mikjl is the minor of ajl in Mik. Since this minor is obtained from Mik by deleting the row and column of ajl, it is obtained from D by deleting the ith and jth rows and the kth and lth columns of D. We insert the expansions of the Mik into that of D. Then it follows from (19) and (20) that the terms of the resulting representation of D are of the form

image

where

image

Case II. If l > k, the only difference is that then ajl belongs to the (l − 1)st column of Mik, because Mik does not contain entries of the kth column of D, and k < l. This causes an additional minus sign in (20), and, instead of (21a), we therefore obtain

image

where b is the same as before.

image

Fig. 561. Cases I and II of the two expansions of D

Second Expansion. We now expand D at first by the jth row. A typical term in this expansion is

image

By the induction hypothesis we may expand the minor Mjl of ajl in D by its ith row, which corresponds to the ith row of D, since j > i.

Case I. If k > l, the entry ajk in that row belongs to the (k − 1)st column of Mjl, because Mjl does not contain entries of the lth column of D, and l < k (see Fig. 561). Hence the term involving ap in this expansion is

image

where the minor Mikjl of ajk in Mjl is obtained by deleting the ith and jth rows and the kth and lth columns of D [and is, therefore, identical with Mikjl in (20), so that our notation is consistent]. We insert the expansions of the Mjl into that of D. It follows from (22) and (23) that this yields a representation whose terms are identical with those given by (21a) when l <k.

Case II. If k < l, then aik belongs to the kth column of Mjl, we obtain an additional minus sign, and the result agrees with that characterized by (21b).

We have shown that the two expansions of D consist of the same terms, and this proves our statement concerning rows.

The proof of the statement concerning columns is quite similar; if we expand D in terms of two arbitrary columns, say, the kth and the lth, we find that the general term involving ajlaik is exactly the same as before. This proves that not only all column expansions of D yield the same value, but also that their common value is equal to the common value of the row expansions of D.

This completes the proof and shows that our definition of an nth-order determinant is unambiguous.

Section 9.3, page 368

PROOF OF FORMULA (2)

We prove that in right-handed Cartesian coordinates, the vector product

image

has the components

image

We need only consider the case v0. Since v is perpendicular to both a and b, Theorem 1 in Sec. 9.2 gives a · v = 0 and b · v = 0; in components [see (2), Sec. 9.2],

image

Multiplying the first equation by b3, the last by a3, and subtracting, we obtain

image

Multiplying the first equation by b1, the last by a1, and subtracting, we obtain

image

We can easily verify that these two equations are satisfied by

image

where c is a constant. The reader may verify, by inserting, that (4) also satisfies (3). Now each of the equations in (3) represents a plane through the origin in v1v2v3-space. The vectors a and b are normal vectors of these planes (see Example 6 in Sec. 9.2). Since v0, these vectors are not parallel and the two planes do not coincide. Hence their intersection is a straight line L through the origin. Since (4) is a solution of (3) and, for varying c, represents a straight line, we conclude that (4) represents L, and every solution of (3) must be of the form (4). In particular, the components of v must be of this form, where c is to be determined. From (4) we obtain

image

This can be written

image

as can be verified by performing the indicated multiplications in both formulas and comparing. Using (2) in Sec. 9.2, we thus have

image

By comparing this with formula (12) in Prob. 4 of Problem Set 9.3 we conclude that c = ±1.

We show that c = +1. This can be done as follows.

If we change the lengths and directions of a and b continuously and so that at the end a = i and b = j (Fig. 188a in Sec. 9.3), then v will change its length and direction continuously, and at the end, v = i × j = k. Obviously we may effect the change so that both a and b remain different from the zero vector and are not parallel at any instant. Then v is never equal to the zero vector, and since the change is continuous and c can only assume the values +1 or −1, it follows that at the end c must have the same value as before. Now at the end a = i, b = j, v = k and, therefore, a1 = 1, b2 = 1, v3 = 1, and the other components in (4) are zero. Hence from (4) we see that v3 =c = +1. This proves Theorem 1.

For a left-handed coordinate system, i × j = − k (see Fig. 188b in Sec. 9.3), resulting in c = −1. This proves the statement right after formula (2).

Section 9.9, page 408

PROOF OF THE INVARIANCE OF THE CURL

This proof will follow from two theorems (A and B), which we prove first.

THEOREM A Transformation Law for Vector Components

For any vector v the components v1, v2, v3 and image in any two systems of Cartesian coordinates x1, x2, x3 and image, respectively, are related by

image

and conversely

image

with coefficients

image

satisfying

image

where the Kronecker delta2is given by

image

and i, j, k and i*, j*, k* denote the unit vectors in the positive image and image-directions, respectively.

PROOF

The representation of v in the two systems are

image

Since i* · i* = 1, i* · j* = 0, i* · k* = 0, we get from (5b) simply i* · v = v1* and from this and (5a)

image

Because of (3), this is the first formula in (1), and the other two formulas are obtained similarly, by considering j* · v and then k* · v. Formula (2) follows by the same idea, taking i · v = v1 from (5a) and then from (5b) and (3)

image

and similarly for the other two components.

We prove (4). We can write (1) and (2) briefly as

image

Substituting vj into image, we get

image

where k = 1, 2, 3. Taking k = 1, we have

image

For this to hold for every vector v, the first sum must be 1 and the other two sums 0. This proves (4) with k = 1 for m = 1, 2, 3. Taking k = 2 and then k = 3, we obtain (4) with k = 2 and 3, for m = 1, 2, 3.

THEOREM B Transformation Law for Cartesian Coordinates

The transformation of any Cartesian x1x2x3-coordinate system into any other Cartesian image-coordinate system is of the form

image

with coefficients (3) and constants b1, b2, b3; conversely,

image

Theorem B follows from Theorem A by noting that the most general transformation of a Cartesian coordinate system into another such system may be decomposed into a transformation of the type just considered and a translation; and under a translation, corresponding coordinates differ merely by a constant.

PROOF OF THE INVARIANCE OF THE CURL

We write again x1, x2, x3 instead of x, y, z, and similarly image for other Cartesian coordinates, assuming that both systems are right-handed. Let a1, a2, a3 denote the components of curl v in the x1x2x3-coordinates, as given by (1), Sec. 9.9, with

image

Similarly, let image denote the components of curl v in the image-coordinate system. We prove that the length and direction of curlv are independent of the particular choice of Cartesian coordinates, as asserted. We do this by showing that the components of curl v satisfy the transformation law (2), which is characteristic of vector components. We consider a1. We use (6a), and then the chain rule for functions of several variables (Sec. 9.6). This gives

image

From this and (7) we obtain

image

Note what we did. The double sum had 3 × 3 = 9 terms, 3 of which were zero (when m = j), and the remaining 6 terms we combined in pairs as we needed them in getting image.

We now use (3), Lagrange's identity (see Formula (15) in Team Project 24 in Problem Set 9.3) and k* × j*i* and k × j = −i. Then

image

Hence image. This is of the form of the first formula in (2) in Theorem A, and the other two formulas of the form (2) are obtained similarly. This proves the theorem for right-handed systems. If the x1x2x3-coordinates are left-handed, then k × j = +i, but then there is a minus sign in front of the determinant in (1), Sec. 9.9.

Section 10.2, page 420

PROOF OF THEOREM 1, PART (b) We prove that if

image

with continuous F1, F2, F3in a domain D is independent of path in D, then F = grad f in D for some f; in components

image

We choose any fixed A: (x0, y0, z0) in D and any B: (x, y, z) in D and define f by

image

with any constant f0 and any path from A to B in D. Since A is fixed and we have independence of path, the integral depends only on the coordinates x, y, z, so that (3) defines a function f(x, y, z) in D. We show that F = grad f with this f, beginning with the first of the three relations (2′). Because of independence of path we may integrate from A to B1: (x1, y, z) and then parallel to the x-axis along the segment B1B in Fig. 562 with B1 chosen so that the whole segment lies in D. Then

image

We now take the partial derivative with respect to x on both sides. On the left we get δfx. We show that on the right we get F1. The derivative of the first integral is zero because A: (x0, y0, z0) and B1: (x1, y, z) do not depend on x. We consider the second integral. Since on the segment B1B, both y and z are constant, the terms F2dy* and F3dz * do not contribute to the derivative of the integral. The remaining part can be written as a definite integral,

image

Fig. 562. Proof of Theorem 1

image

Hence its partial derivative with respect to x is F1(x, y, z), and the first of the relations (2′) is proved. The other two formulas in (2) follow by the same argument.

Section 11.5, page 500

THEOREM Reality of Eigenvalues

If p, q, r, and p′ in the Sturm–Liouville equation (1) of Sec. 11.5 are real-valued and continuous on the interval a image x image b and r (x) > 0 throughout that interval (or r (x) 0 throughout that interval), then all the eigenvalues of the Sturm–Liouville problem (1), (2), Sec. 11.5, are real.

PROOF

Let λ = α + be an eigenvalue of the problem and let

image

be a corresponding eigenfunction; here α, β, u, and v are real. Substituting this into (1), Sec. 11.5, we have

image

This complex equation is equivalent to the following pair of equations for the real and the imaginary parts:

image

Multiplying the first equation by v, the second by −u and adding, we get

image

The expression in brackets is continuous on a image x image b, for reasons similar to those in the proof of Theorem 1, Sec. 11.5. Integrating over x from a to b, we thus obtain

image

Because of the boundary conditions, the right side is zero; this is as in that proof. Since y is an eigenfunction, u2 + v2 image 0. Since y and r are continuous and r > (or r < 0) on the interval a image x image b, the integral on the left is not zero. Hence, β = 0, which means that λ = α is real. This completes the proof.

Section 13.4, page 627

PROOF OF THEOREM 2 Cauchy–Riemann Equations

We prove that Cauchy–Riemann equations

image

are sufficient for a complex function f(z) = u (x, y) + iv (x, y) to be analytic; precisely, if the real part u and the imaginary part v of f(z) satisfy (1) in a domain D in the complex plane and if the partial derivatives in (1) are continuous in D, then f(z) is analytic in D.

In this proof we write Δz = Δx + iΔy and Δf = f(z + Δz) − f(z). The idea of proof is as follows.

(a) We express Δf in terms of first partial derivatives of u and v, by applying the mean value theorem of Sec. 9.6.

(b) We get rid of partial derivatives with respect to y by applying the Cauchy–Riemann equations.

(c) We let Δz approach zero and show that then Δf/Δz, as obtained, approaches a limit, which is equal to ux + ivx, the right side of (4) in Sec. 13.4, regardless of the way of approach to zero.

(a) Let P: (x, y) be any fixed point in D. Since D is a domain, it contains a neighborhood of P. We can choose a point Q: (x + Δx, y + Δy) in this neighborhood such that the straight-line segment PQ is in D. Because of our continuity assumptions we may apply the mean value theorem in Sec. 9.6. This yields

image

where M1 and M2 (≠ M1 in general!) are suitable points on that segment. The first line is Re Δf and the second is Im Δf, so that

image

(b) uy = −vx and vy = ux by the Cauchy–Riemann equations, so that

image

Also Δz = Δx + iΔy, so that we can write Δx = ΔziΔy in the first term and Δy = (Δz − Δx)/i = −i (ΔzΔx) in the second term. This gives

image

By performing the multiplications and reordering we obtain

image

Division by Δz now yields

image

(c) We finally let Δz approach zero and note that |Δy/Δz| image 1 and |Δx/Δz| image1 in (A). Then Q: (x + Δx, y + Δy) approaches P: (x, y), so that M1 and M2 must approach P. Also, since the partial derivatives in (A) are assumed to be continuous, they approach their value at P. In particular, the differences in the braces {…} in (A) approach zero. Hence the limit of the right side of (A) exists and is independent of the path along which Δz → 0. We see that this limit equals the right side of (4) in Sec. 13.4. This means that f(z) is analytic at every point z in D, and the proof is complete.

Section 14.2, pages 653654

GOURSAT'S PROOF OF CAUCHY'S INTEGRAL THEOREM

Goursat proved Cauchy's integral theorem without assuming that f′(z) is continuous, as follows.

We start with the case when C is the boundary of a triangle. We orient C counterclockwise. By joining the midpoints of the sides we subdivide the triangle into four congruent triangles (Fig. 563). Let CI, CII, CIII, CIV denote their boundaries. We claim that (see Fig. 563).

image

Indeed, on the right we integrate along each of the three segments of subdivision in both possible directions (Fig. 563), so that the corresponding integrals cancel out in pairs, and the sum of the integrals on the right equals the integral on the left. We now pick an integral on the right that is biggest in absolute value and call its path C1. Then, by the triangle inequality (Sec. 13.2),

image

We now subdivide the triangle bounded by C1 as before and select a triangle of subdivision with boundary C2 for which

image

image

Fig. 563. Proof of Cauchy's integral theorem

Continuing in this fashion, we obtain a sequence of triangles T1, T2, … with boundaries C1, C2, … that are similar and such that Tn lies in Tm when n > m, and

image

Let z0 be the point that belongs to all these triangles. Since f is differentiable at z = z0, the derivative f′(z0) exists. Let

image

Solving this algebraically for f(z) we have

image

Integrating this over the boundary Cn of the triangle Tn gives

image

Since f(z0) and f′(z0) are constants and Cn is a closed path, the first two integrals on the right are zero, as follows from Cauchy's proof, which is applicable because the integrands do have continuous derivatives (0 and const, respectively). We thus have

image

Since f′(z0) is the limit of the difference quotient in (3), for given image > 0 we can find a δ > 0 such that

image

We may now take n so large that the triangle Tn lies in the disk |zz0|< δ. Let Ln be the length of Cn. Then |zz0| < Ln for all z on Cn and z0 in Tn. From this and (4) we have |h(z)(zz0)| < imageLn. The ML-inequality in Sec. 14.1 now gives

image

Now denote the length of C by L. Then the path C1 has the length L1 = L/2, the path C2 has the length L2 = L1/2 = L/4, etc., and Cn has the length Ln = L/2n. Hence image. From (2) and (5) we thus obtain

image

By choosing image (> 0) sufficiently small we can make the expression on the right as small as we please, while the expression on the left is the definite value of an integral. Consequently, this value must be zero, and the proof is complete.

The proof for the case in which C is the boundary of a polygon follows from the previous proof by subdividing the polygon into triangles (Fig. 564). The integral corresponding to each such triangle is zero. The sum of these integrals is equal to the integral over C, because we integrate along each segment of subdivision in both directions, the corresponding integrals cancel out in pairs, and we are left with the integral over C.

The case of a general simple closed path C can be reduced to the preceding one by inscribing in C a closed polygon P of chords, which approximates C “sufficiently accurately,” and it can be shown that there is a polygon P such that the integral over P differs from that over C by less than any preassigned positive real number image, no matter how small. The details of this proof are somewhat involved and can be found in Ref. [D6] listed in App. 1.

image

Fig. 564. Proof of Cauchy's integral theorem for a polygon

Section 15.1, page 674

PROOF OF THEOREM 4 Cauchy's Convergence Principle for Series

(a) In this proof we need two concepts and a theorem, which we list first.

1. A bounded sequence s1, s2, … is a sequence whose terms all lie in a disk of (sufficiently large, finite) radius K with center at the origin; thus |sn| < K for all n.

2. A limit point a of a sequence s1, s2, … is a point such that, given an image > 0, there are infinitely many terms satisfying |sna| > image. (Note that this does not imply convergence, since there may still be infinitely many terms that do not lie within that circle of radius and center a.)

image

3. A bounded sequence in the complex plane has at least one limit point. (Bolzano–Weierstrass theorem; proof below. Recall that “sequence” always means infinite sequence.)

(b) We now turn to the actual proof that z1 + z2 + … converges if and only if, for every image > 0, we can find an N such that

image

Here, by the definition of partial sums,

image

Writing n + p = r, we see from this that (1) is equivalent to

image

Suppose that s1, s2, … converges. Denote its limit by s. Then for a given image > 0 we can find an N such that

image

Hence, if r > N and n > N, then by the triangle inequality (Sec. 13.2),

image

that is, (1*) holds.

(c) Conversely, assume that s1, s2, … satisfies (1*). We first prove that then the sequence must be bounded. Indeed, choose a fixed and a fixed n = n0 > N in (1*). Then (1*) implies that all sr with r > N lie in the disk of radius image and center sn0 and only finitely many terms s1, …, sN may not lie in this disk. Clearly, we can now find a circle so large that this disk and these finitely many terms all lie within this new circle. Hence the sequence is bounded. By the Bolzano–Weierstrass theorem, it has at least one limit point, call it s.

We now show that the sequence is convergent with the limit s. Let image > 0 be given. Then there is an N* such that |srsn|<image/2 for all r > N* and n > N*, by (1*). Also, by the definition of a limit point, |sns| < image/2 for infinitely many n, so that we can find and fix an n > N* such that |sns|/2. Together, for every r > N *,

image

that is, the sequence s1, s2, … is convergent with the limit s.

THEOREM Bolzano–Weierstrass Theorem3

A bounded infinite sequence z1, z2, z3, … in the complex plane has at least one limit point.

PROOF

It is obvious that we need both conditions: a finite sequence cannot have a limit point, and the sequence 1, 2, 3, …, which is infinite but not bounded, has no limit point. To prove the theorem, consider a bounded infinite sequence z1, z2, … and let K be such that |zn| < K for all n. If only finitely many values of the zn are different, then, since the sequence is infinite, some number z must occur infinitely many times in the sequence, and, by definition, this number is a limit point of the sequence.

We may now turn to the case when the sequence contains infinitely many different terms. We draw a large square Q0 that contains all zn. We subdivide Q0 into four congruent squares, which we number 1, 2, 3, 4. Clearly, at least one of these squares (each taken with its complete boundary) must contain infinitely many terms of the sequence. The square of this type with the lowest number (1, 2, 3, or 4) will be denoted by Q1. This is the first step. In the next step we subdivide Q1 into four congruent squares and select a square Q2 by the same rule, and so on. This yields an infinite sequence of squares Q0, Q1, Q2, …, Qn, … with the property that the side of Qn approaches zero as n approaches infinity, and Qm contains all Qn with n > m. It is not difficult to see that the number which belongs to all these squares,4 call it z = a, is a limit point of the sequence. In fact, given an image > 0, we can choose an N so large that the side of the square QN is less than image and, since QN contains infinitely many zn, we have |zna| < image for infinitely many n. This completes the proof.

Section 15.3, pages 688689

PART (b) OF THE PROOF OF THEOREM 5

We have to show that

image

thus,

image

If we set z + Δz = b and z = a, thus Δz = ba, this becomes simply

image

where An is the expression in the brackets on the right,

image

thus, A2 = 1, A3 = b + 2a, etc. We prove (7) by induction. When n = 2, then (7) holds, since then

image

Assuming that (7) holds for n = k, we show that it holds for n = k + 1. By adding and subtracting a term in the numerator and then dividing we first obtain

image

By the induction hypothesis, the right side equals b[(ba)Ak + kak−1] + ak. Direct calculation shows that this is equal to

image

From (7b) with n = k we see that the expression in the braces {…} equals

image

Hence our result is

image

Taking the last term to the left, we obtain (7) with n = k + 1. This proves (7) for any integer n image 2 and completes the proof.

Section 18.2, page 763

ANOTHER PROOF OF THEOREM 1 without the use of a harmonic conjugate

We show that if w = u + iv = f(z) is analytic and maps a domain D conformally onto a domain D* and Φ*(u, v) is harmonic in D*, then

image

is harmonic in D, that is, 2Φ = 0 in D. We make no use of a harmonic conjugate of Φ*, but use straightforward differentiation. By the chain rule,

image

We apply the chain rule again, underscoring the terms that will drop out when we form 2Φ:

image

Φyy is the same with each x replaced by y. We form the sum 2Φ. In it, image is multiplied by

image

which is 0 by the Cauchy–Riemann equations. Also 2u = 0 and 2v = 0. There remains

image

By the Cauchy–Riemann equations this becomes

image

and is 0 since Φ* is harmonic.

1This proof was suggested by my colleague, Prof. A. D. Ziebur. In this proof, we use some formula numbers that have not yet been used in Sec. 2.6.

2LEOPOLD KRONECKER (1823–1891), German mathematician at Berlin, who made important contributions to algebra, group theory, and number theory.

We shall keep our discussion completely independent of Chap. 7, but readers familiar with matrices should recognize that we are dealing with orthogonal transformations and matrices and that our present theorem follows from Theorem 2 in Sec. 8.3.

3BERNARD BOLZANO (1781–1848), Austrian mathematician and professor of religious studies, was a pioneer in the study of point sets, the foundation of analysis, and mathematical logic.

For Weierstrass, see Sec. 15.5.

4 The fact that such a unique number z a exists seems to be obvious, but it actually follows from an axiom of the real number system, the so-called Cantor–Dedekind axiom: see footnote 3 in App. A3.3.

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