CHAPTER 3

DIFFERENTIATION ANALYTIC FUNCTIONS

             13. DERIVATIVES. RULES FOR DIFFERENTIATING COMPLEX FUNCTIONS

Let f(z) be a function of a complex variable which is defined and single-valued on a set E, and let z0 be any point of E which is a limit point of E. Then the difference quotient

images

is a function of z defined for any point zz0 of the set E. The limit of (3.1) as zz0, zE, provided it exists, is called the derivative of the function f(z) at the point z0 relative to the set E, denoted by f′E(z0) or simply f′(z0), and the function f(z) itself is said to be differentiable at the point z0 relative to the set E.

In the special case where E is an interval (finite or infinite) of the real axis, f(z)is a function of the real variable z = x and takes values which are in general complex:

images

If ψ(x) ≡ 0,if the values of f(z) are real, our definitions of a derivative and of differentiability reduce to the usual definitions given in elementary calculus. However, if ψ(x) images 0, then, writing

images

we conclude that f′(x0) exists if and only if the derivatives φ′(x0) and ψ′(x0) exist, and that

images

(see Sec. 10). For example, if

images

(where x is any real number), then

images

Introducing the notation Δz = zz0 for the increment of the independent variable and ΔEf(z) = f(z) – f(z0) for the increment of the function f(z) (relative to the set E), we have the following necessary and sufficient condition for differentiability:

THEOREM 3.1.The function f(z) is differentiable at the point z0E (relative to the set E) if and only if f(z) can be written in the form

images

where ε(z, z0) → 0 as Δz→0 (z ∈ E) and A is a constant independent of Δz and ε.

Proof. If f(z) has a derivative f′E(z0) at z0, then, by definition

images

where ε(z, z0) → 0 as Δz → 0. Multiplying (3.3) by Δz, we find that ΔEf (z) can be written in the form (3.2) with A = f′E (z0). Conversely, if ΔEf(z) can be written in the form (3.2), then dividing by Δz and taking the limit as Δz → 0, we find that fE(z0) exists and equals A.

Remark. It is an immediate consequence of (3.2) that if f(z) is differentiable at the point z0 ∈ E, it is also continuous at z0.1

By the differential of a function f(z) which is differentiable at the point z0E, we mean the principal linear part of the increment ΔEf(z), i.e., the quantity

images

where, as in elementary calculus, we set dz = Δz (see Prob. 1). We can then write

images

For simplicity, we usually omit the subscript E in expressions like (3.2) through (3.5), unless we want to emphasize the role of the set E.

Example. To clarify the role of the set E relative to which the derivative is taken, let E be the real axis and consider the function

images

Obviously, the derivative f′E(z) exists for all z = x ∈ E, since

images

We now extend the function f(z) to the whole complex plane images, by writing (3.6) for all z = x + iyimages. Then f(z) is continuous for any zimages and coincides with the original function when z ∈ E. However, the difference quotient is now

images

which has no limit as zz0images. In fact, (3.7) approaches 0 if zz0 along the line x = x0, whereas (3.7) approaches 1 if zz0 along the line y = y0. In other words, f′images(z0) does not exist for any z ∈ images. Thus it is already apparent from this simple example that the requirement that f(z) be differentiable regarded as a function of a complex variable z = x + iy is much more stringent than the requirement that f(z) be differentiable only for real values of z.

It follows from our definition of a derivative and the properties of limits (see Sec. 10) that the basic differentiation rules familiar from elementary calculus can be extended to the case of functions of a complex variable. We now list some of these rules. In each case, f(z), f1(z), f2(z), etc., is assumed to be differentiable at a given point z ∈ E (relative to E).

Rule 1. If f(z) ≡ z, then

images

whereas if f(z) = const, then

images

Loosely speaking, the derivative of the independent variable is 1, and the derivative of any constant is 0.

Rule 2 (Differentiation of sums, products and powers). If c is a constant, then

images

Moreover we have

images

In particular,

images

and

images

Rule 3 (Differentiation of a quotient). If f2(z) ≠ 0, then

images

Rule 4 (Differentiation of a composite function). Suppose the function f(z) with domain E and range images is differentiable at the point z0E, and suppose images is an infinite set with w0 = f(z0) as a limit point. Moreover, suppose the function φ(w) has domain images and is differentiable at the point w0images. Then the Composite function

images

is differentiable at the point z0, and

images

The proof is trivial if there exists a neighborhood images (z0) of the point z0 such that f(z)= ww0 for all zimages(z0) ∩ E, for then

images

Since ww0 as zz0 (see the remark on p. 44), taking the limit of (3.9) as zz0 we immediately obtain (3.8).

Now suppose every neighborhood of z0 contains a point z ∈ E, zz0 such that f(z) = f(z0) = w0. Then there exists a sequence {zn} of distinct points in E converging to z0 such that

images

For this sequence

images

and hence the derivative

images

(which by hypothesis exists) must vanish. Therefore the right-hand side of (3.8) vanishes, and to prove (3.8) we have to show that its left-hand side also vanishes. Since the difference quotient

images

is obviously zero for every zz0 such that f(z) = f(z0), the proof reduces to showing that

images

vanishes for every sequence {z*n} converging to z0 such that f(z*n) = w*nw0 = f(z0). However, for such a sequence, (3.10) equals

images

[cf. (3.9)], which approaches

images

as n → ∞. But as just shown, dEf(z0)/dz vanishes, and hence (3.8) holds.

Rule 5 (Differentiation of an inverse function). Suppose w = f(z) is a one-to-one function defined on E, and suppose the inverse function z = f–1(w) = φ(w) is continuous on images, the range of f(z). Then if f(z) is differentiable at the point z0E and if f′E(z0) ≠ 0, the function φ(w) is differentiable at the point w0 = f(z0) ∈ images, and

images

The proof goes as follows: Since the function w = f(z) is one-to-one, ww0 implies zz0, and hence the difference quotient of the function φ(w) can be written in the form

images

Moreover, since φ(w) is continuous on images, φ(w) → φ(w0) as ww0, i.e., zz0 as ww0. Therefore

images

as asserted.

Problem 1. Justify the formula dz = Δz (“the differential and the increment of the independent variable are equal”) and hence formula (3.4).

Problem 2. Show that the function f(z) → images is not differentiable at any point z0 relative to any neighborhood images(z0).

14. THE CAUCHY-RIEMANN EQUATIONS. ANALYTIC FUNCTIONS

From now on, we shall be concerned mainly with functions defined on some domain E = G, and we shall drop the subscript E in f′E(z) and dEf(z)/dz. Suppose u(x, y) is a real function of two real variables x and y defined on G. Then u(x, y) is said to be differentiable at the point (x0, y0) ∈ G if u(x, y) can be written in the form

images

where

images

as (x, y) → (x0, y0). The coefficients A(x0, y0)and B(x0, y0) in the right-hand side of (3.11) are just the partial derivatives of the function u(x, y) at the point (x0, y0):

images

THEOREM 3.2 (Cauchy-Riemann equations). Let

images

be a function of a complex variable defined on a domain G. Then a necessary and sufficient condition for f(z) to be differentiable (as a function of a complex variable) at the point z0 = x0 + iy0G is that the functions u(x, y) and v(x, y) be differentiable (as functions of the two real variables x and y) at the point (x0, y0) and satisfy the Cauchy-Riemann equations

images

at (x0, y0). If these conditions are satisfied, f′(z0) can be represented in any of the forms

images

where the partial derivatives are all evaluated at (x0, y0).

Proof. First we prove that the conditions are necessary. Consider the increments

images

of the independent variable z and of the function f(z). According to Theorem 3.1, if f(z) is differentiable at z0, then

images

where ε → 0 as Δz → 0. Writing

images

and taking the real and imaginary parts of (3.14), we find that

images

where ε1, ε2 → 0 as Δx, Δy → 0, since

images

It follows that the functions u(x, y) and v(x, y) are differentiable at (x0, y0) and

images

But (3.15) immediately implies (3.12) and (3.13).

To prove that the conditions of the theorem are sufficient, we reverse the preceding argument. Thus, suppose u(x, y) and v(x, y) are differentiable at the point (x0, y0), and suppose (3.12) holds. Then

images

where αl, α2, β1, β2 → 0 as Δx, Δy → 0 and we have written

images

Substituting (3.16) into the formula Δf(z) = Δu + i Δv, we find that

images

or

images

where

images

Since α1, α2, β1, β2 → 0 as Δx, Δy → 0, it follows that ε → 0 as Δz → 0, and hence, according to (3.18) and Theorem 3.1, f(z) is differentiable at z0, with derivative

images

The various representations (3.13) of f′(z0) are now immediate consequences of (3.19) and (3.17).

A function f(z) which is differentiable on a domain G, i.e., at every point of G, is said to be analytic (synonymously, holomorphic or regular) on G. If f(z) is analytic in a neighborhood of z0, f(z) is said to be analytic at z0.

Remark. As we know from calculus,2 a sufficient condition for the differentiability of the functions u(x, y) and v(x, y) on a domain G is that the partial derivatives

images

exist and be continuous on G. Therefore a sufficient condition for the function f(z) = u + iv to be analytic on G is that the partial derivatives (3.20) exist, be continuous and satisfy the equations (3.12) on G.

Example 1. For the function

images

defined in the whole plane, we have

images

with continuous partial derivatives

images

Therefore the Cauchy-Riemann equations (3.12) are satisfied, and the function (3.21) is analytic in the whole plane, with derivative

images

Example 2. For the function f(z) = x, considered in the example on p. 45, we have

images

and

images

Since

images

the Cauchy-Riemann equations are not satisfied, and hence this function is not differentiable anywhere in the plane.

In many cases, it is important to express the differentiability conditions for a function f(z) = u + iv at a point z ≠ 0 in terms of the polar coordinates

images

The appropriate necessary and sufficient conditions for differentiability are that u(r, Φ) and v(r, Φ) be differentiable (as functions of the two real variables r and Φ) and satisfy the polar form of the Cauchy-Riemann equations, i.e.,

images

(at a given nonzero point P). To verify these conditions, we must prove that 1) u and v are differentiable as functions of r and Φ at P if and only if they are differentiable as functions of x and y at P, and 2) under these conditions, the equations (3.22) are equivalent to the equations (3.12). The first assertion follows from the familiar fact that a differentiable function (u = u(x, y), say) of differentiable functions (x = r cos Φ, y = r sin Φ, say) is also differentiable (with respect to the new variables r and Φ).3 The second assertion can be verified by direct calculation. For example, if u and v are differentiable functions of x and y, and if the equations (3.12) hold, then

images

Writing (3.23) in the form

images

and solving for ∂u/∂x and ∂u/∂y, we obtain

images

and hence

images

This formula is convenient for calculating f′(z) with the help of polar coordinates. Using (3.22), we can write f′(z) in the form

images

Example. Consider the function

images

where m and n > 0 are integers (see Sec. 4). This function is defined on the domain G consisting of all nonzero points of the complex plane, and is multiple-valued (unless m/n is an integer), since Φ = Arg z is multiple-valued. Before we can talk about the derivative of zm/n, we must first make zm/n single-valued in the following sense: Let z0 ∈ G, and choose a neighborhood images(z0) which does not contain the origin. Fix one of the values of Φ0 = Arg z0, and for the argument of any other point zimages(z0) choose the unique value Φ satisfying the condition

images

(see Figure 3.1). Using this value of Φ in (3.25), we obtain a single-valued function defined on images(z0), which we call a single-valued branch of the function (3.25), denoted by zm,n as before. Thus at any point zimages(z0), including z0 itself, we can now write

images

FIGURE 3.1

images

and

images

i.e., f(z) satisfies the equations (3.22), and is therefore differentiable on images(z0). According to formula (3.24),

images

so that the rule for differentiating a fractional power zmln is formally the same as the rule for differentiating the corresponding function xm/n of a real variable. It should be kept in mind that our calculation is subject to the condition z ≠ 0, which can only be dropped if m/n is a nonnegative integer.

Problem 1. Show that the function f(z) = z Re z is differentiable only at the point z = 0, and find f′(0).

Comment. Thus f(z) = z Re z is differentiable but not analytic at z = 0.

Problem 2. Show that the function

images

has partial derivatives ∂u/∂x and ∂u/∂y at the origin, but is not differentiable there.

Problem 3. Show that the function f(z) = images satisfies the Cauchy-Riemann equations at the point z = 0, but is not differentiable there.

Problem 4. Establish the following generalization of the Cauchy-Riemann equations: If f(z) = u + iv is differentiable at a point z0 = x0 + iy0 of a domain G, then

images

at (x0, y0) where ∂/∂s and ∂/∂n denote directional differentiation in any two orthogonal directions s and n at (x0, y0) such that n is obtained from s by making a counterclockwise rotation.

Problem 5. Use the preceding problem to deduce the equations (3.22).

15. GEOMETRIC INTERPRETATION OF Arg f′(z) AND |f′(z)|. CONFORMAL MAPPING

Let l be a continuous curve with equation z = λ(t), t ∈ [a, b], and suppose λ(t) is differentiable at a point t0 ∈ [a, b] (relative to the set [a, b]). Let {tn} be an arbitrary sequence of points in [a, b] converging to t0 (tnt0), and consider the difference quotient

images

Obviously rnr0 = λ′(t0) as n → ∞.

DEFINITION. The curve l is said to have a tangent at the point z0 = λ(t0) if the limit

images

exists, and then the tangent is said to have inclination θ. Geometrically, the tangent to l at z0 is represented by the ray τ emanating from z0 which makes the angle θ with the positive real axis.4

Remark 1. Clearly, if λ′(t0) ≠ 0, l has a tangent at z0, since

images

(see Sec. 6, Prob. 3), and then the inclination of the tangent is just the argument of the complex number λ′(t0). On the other hand, if λ′(t0) = 0, l may or may not have a tangent at z0, since the fact that rn → 0 implies only that |rn| → 0 and says nothing about the behavior of Arg rn. However, if l has a tangent at z0, then λ(tn) ≠ λ(t0) for all tn sufficiently close to t0, since Arg 0 is meaningless.5

Remark 2. As just defined, the tangent is a ray, not a vector. If λ′(t0) ≠ 0, we can also introduce a tangent vector to l at z0, defined as the vector of length |λ′(t0)| which makes the angle λ with the positive real axis.

THEOREM 3.3. Let G be a domain, and let f(z) be a continuous function of a complex variable defined on G. Suppose f(z) has a nonzero derivative f′(z0) at a point z0G, and let l be a curve which passes through z0 and has a tangent τ at z0. Then w = f(z) maps l into a curve L in the w-plane which passes through the point w0 = f(z0) and has a tangent T at w0. Moreover, the inclination of T exceeds the inclination of τ by the angle Arg f′(z0).

Proof. Suppose l has the equation z = λ(t), t ∈ [a, b], and let z0 = λ(t0). By hypothesis,

images

exists, where rn is given by (3.26). The function w = f(z) maps l into a curve L in the w-plane with equation

images

where w0 = f(z0) = ∧(t0). Let {tn} be an arbitrary sequence of points in [a, b] converging to t0, and let

images

Then the tangent to L at w0 has inclination

images

provided this limit exists. Clearly we have

images

where the first factor in the right-hand side is well defined, since λ(tn) ≠ λ(t0) for all tn sufficiently close to t0 (l is assumed to have a tangent at z0). Therefore

images

where wn = ∧(tn), zn = λ(tn) and θ is the inclination of τ at z0.6 It follows from (3.29) that images exists and that

images

as asserted. We note that things are particularly simple in the case where λ′(t0) ≠ 0, since then

images

by the rule for differentiating the composite function (3.28).

Now let l1 and l2 be two curves with a common initial point z0, which have tangents τ1 and τ2 at z0, and suppose the angle between τ1 and measured from τ1 to τ2. Suppose l1 and l2 have images L1 and L2 under f(z). Then, according to Theorem 3.3, if f′(z0) ≠ 0, L1 and L2 have tangents T1 and T2 at the point w0 = f(z0), where T1 and T2 are obtained by rotating τ1 and τ2 through the same angle Arg f′(z0). Therefore the angle between L1 and L2 equals the angle between l1 and l2, and is measured in the same direction, i.e., from L1 to L2. In other words, a continuous function w = f(z) with a nonzero derivative f′(z0) maps all curves in the z-plane which pass through z0 and have tangents at z0 into curves in the w-plane which pass through w0 = f(z0) and have tangents at w0, and moreover, the mapping preserves angles between curves. A mapping by a continuous function which preserves angles between curves passing through a given point z0 is said to be conformal at z0. If a conformal mapping preserves the directions in which angles are measured (as well as their magnitudes), it is called a conformal mapping of the first kind, but if it reverses the directions in which angles are measured, it is called a conformal mapping of the second kind. Thus Theorem 3.3 has the following consequence:

THEOREM 3.4. Let G be a domain, and let f(z) be an analytic function on G. Thenf(z) is a conformal mapping of the first kind at every point of G where f′(z) ≠ 0.

Example 1. Reflection in the real axis, i.e., the transformation w = images, is a conformal mapping of the second kind. A more general example is the complex conjugate

images

of an analytic function f(z), where f′(z) ≠ 0.

Example 2. At a point where the derivative vanishes, angles may or may not be preserved, as can be seen by comparing the mappings

images

at the point z = 0.

As we have just seen, Arg f′(z0) represents the rotation undergone by the tangent to a curve l at the point z0l when transforming to the new curve L = f(l) and the new point w0 = f(z0). In particular, if f′(z0) is a positive real number, the tangents to l at z0 and to L at w0 are parallel and point in the same direction.

To explain the geometric meaning of the quantity |f′(z0)|, i.e., the absolute value of the derivative at z0, we note that

images

The numbers |zz0| and |f(z) – f(z0)| are the distance between the points z and z0 in the z-plane, and the distance between their images f(z) and f(z0) in the w-plane, respectively. Thus, interpreting

images

as the linear magnification ratio (or simply the magnification) of the vector zz0 under the mapping w = f(z),7 we can regard | f′(z0)| as the magnification at the point z0 under w = f (z).

Remark. The size of the magnification at the point z0 does not depend on the choice of the finite vector zz0 drawn from z0, since |f′(z0)| is not the actual magnification of any such vector, but rather the limiting magnification as zz0.

Problem 1. With the same notation as on p. 55, a curve l is said to have a left-hand tangent (of inclination θ) at the point z0 = λ(t0) if the limit (3.27) exists, subject to the extra condition that every point of the sequence {tn} converging to t0 be less than t0. The right-hand tangent is defined similarly by requiring that tn > t0 for every n. Give an example of a (continuous) curve l which has a left-hand tangent but no right-hand tangent (and hence no tangent) at a point z0l.

Problem 2. Verify that the function

images

used in Example 2 above is differentiable at z = 0.

Problem 3. Find the angle through which a curve drawn from the point z0 is rotated under the mapping w = z2 if

images

Also find the corresponding values of the magnification.

Problem 4. Carry out the same calculations as in the preceding problem, this time applied to the function w = z3.

Problem 5. Which part of the plane is shrunk and which part stretched under the following mappings:

images

16. THE MAPPING images

To illustrate the above considerations, we now examine the fractional linear transformation or Möbius transformation

images

where a, b, c, d are arbitrary complex numbers (except that c and d are not both zero). First suppose that c = 0. Then L(z) reduces to

images

and is sometimes called the linear transformation. The transformation (3.31) is defined for all values of z, and if α ≠ 0, its derivative L′(z) is a nonzero constant, so that (3.31) is conformal at every point of the (finite) z-plane. Under this transformation, the tangents to all curves in the z-plane are rotated through the same angle, equal to Arg α, and the magnification at every point equals |α|. If α = 1, then

images

where k is an integer, and then both the rotation and expansion produce no effect. In this case, the transformation takes the form

images

which obviously corresponds to displacing the whole plane by the vector β. On the other hand, if α ≠ 1 (and α ≠ 0), the transformation (3.31) can be written in the form

images

where z0 is determined from the equation8

images

Then it is immediately clear that the transformation (3.31) is equivalent to a rotation of the whole plane through the angle Arg α about the point z0 = β/(l — α), together with a uniform magnification by the factor |α| relative to the point z0. This magnification is sometimes called a homothetic transformation (or transformation of similitude) with ray center z0 and ray ratio |α|.

Next suppose that c ≠ 0 in (3.30). Then the derivative

images

exists, if zδ, where δ = —d/c. If the determinant

images

vanishes, then its rows are proportional, i.e.,

images

where μ is a constant, so that (3.30) reduces to the trivial transformation

images

If ad – bc ≠ 0, then L′(z) ≠ 0 for all zδ, and hence the mapping w = L(z) is conformal at all finite points except possibly at z = δ. Under the mapping, the tangents to curves passing through any point z ≠ δ are rotated through an angle equal to

images

while the magnification at z equals

images

The angle through which tangents are rotated has the same value for all points with equal values of Arg (zδ), i.e., along any ray drawn from δ, but otherwise varies from point to point. Similarly, in general the magnification varies with z, but it has the same value for all points with equal values of |zδ|, i.e., along any circle with center δ. In particular, the magnification is equal to 1 at every point of the circle C with equation

images

(called the isometric circle of the Möbius transformation), is greater than 1 inside C (approaching ∞ as zδ), and is less than 1 outside C (approaching 0 as z → ∞). The situation is shown schematically in Figure 3.2.

images

FIGURE 3.2

Problem 1. As shown on p. 60, the entire linear transformation w = αz + β is equivalent to a rotation and a magnification relative to the fixed point z0 = β/(1 – α), provided that α ≠ 0. Find the rotation, magnification and (finite) fixed point, if such exists, corresponding to each of the following transformations, and write each in the canonical form wz0 = α(zz0):

images

Problem 2. Find the entire linear transformation with fixed point 1 + 2i carrying the point i into the point –i.

images

Problem 3, Find the entire linear transformation carrying the triangle with vertices at the points 0, 1, i into the similar triangle with vertices at the points 0, 2, 1 + i.

17. CONFORMAL MAPPING OF THE EXTENDED PLANE

As in the preceding section, let c ≠ 0 and ad – bc ≠ 0. Then it is clear that

images

where δ = —d/c. Suppose we complete the definition of L(z) by setting

images

Then L(z) is defined in the whole extended plane, and maps the finite point δ into ∞ (the point at infinity) and ∞ into the finite point A. We now show that the mapping w = L(z) is conformal at the points δ and A (it has already been shown that the mapping is conformal everywhere else). First we must suitably define the concept of an angle with its vertex at infinity (for the justification of this definition, see Probs. 3 and 4; also recall the last paragraph of Sec. 8):

DEFINITION.9 Two continuous curves γ1 and γ2 in the extended plane form an angle of α radians with its vertex at infinity if and only if their images images and images in the extended plane under the transformation ζ = 1/z form an angle of α radians with its vertex at the origin.

Example. The real and imaginary axes form an angle of π/2 radians with its vertex at infinity. In fact, under the transformation ζ = 1/z, the real and imaginary axes are carried into themselves, and they obviously form an angle of π/2 radians with its vertex at the origin.

Returning to the mapping w = L(z), let γ1 and γ2 be two curves forming an angle θ with its vertex at the point δ, and let images and images be their images in the w-plane. To prove that images and images form an angle θ with its vertex at infinity, we subject the w-plane to the transformation

images

Then the curves images and images go into two curves images and images, and the point at infinity goes into the origin of coordinates (see Figure 3.3). Obviously, we can go from γ1 and γ2 in the z-plane to images and images in the η-plane by making the Möbius transformation

images

which is conformal at the point z = δ = —d/c. It follows that the curves images and images form an angle θ with its vertex at the origin. Therefore the curves images and images also form an angle 0 with its vertex at infinity. This proves that the mapping w = L(z) is conformal at the point z = δ

The fact that w = L(z) is conformal at ∞ is proved similarly. In fact, if the curves γ1 and γ2 go through the point at infinity in the z-plane, their images images and images in the w-plane go through the point A. Suppose γ1 and γ2 form an angle θ with its vertex at infinity. This means that their images γ*1 and γ*2 under the transformation ζ = 1/z form an angle θ with its vertex at the origin. But we can obviously go from γ*1 and γ*2 to images and images by making the Möbius transformation

images

FIGURE 3.3

images

which is conformal at the point ζ = 0. It follows that images and images form the same angle θ at the point A = a/c. This proves that the mapping w = L(z) is conformal at ∞. The situation can be summarized by saying that the transformation w = L(z) is a conformal mapping of the extended plane onto itself.

Remark 1. These considerations suggest the following definition: A function f(z) is said to be analytic at z = ∞ if the function f*(ζ) = f(l/ζ) is analytic at ζ = 0. In particular, if f(z) is analytic at z = ∞, the limit

images

always exists and is finite. We define the derivative of f(z) at z = ∞ to be the quantity

images

where it should be noted that in general

images

(see Prob. 2). Then, by the argument given above for the special case of the Möbius transformation, it is easy to see that the mapping w = f(z) is conformal at ∞ if f′(∞) ≠ 0. With this approach, the conformality at ∞ of the Möbius transformation

images

follows from the fact that

images

Remark 2. Similarly, if

images

but if

images

is analytic at z = a, with derivative φ′(a) ≠ 0, then, just as in the case of the Möbius transformation, the mapping w = f(z) is conformal at z = a.

Problem 1. Prove that the transformation L(z) = αz + β is conformal at infinity if α ≠ 0.

Problem 2. Prove that if f(z) is analytic at infinity, then

images

Problem 3 (Ml, p. 87). Prove that stereographic projection is conformal, i. e., that under stereographic projection the angle between any two curves on the Riemann sphere (with its vertex at any point except the north pole) equals the angle between the images of the curves in the finite plane.

Problem 4 (Ml, Sec. 25). Prove that two curves γ1 and γ2 in the extended plane form an angle of α radians with its vertex at infinity if and only if their images γ*1 and γ*2 on the Riemann sphere under stereographic projection form an angle of α radians with its vertex at the north pole.


1 For brevity, we shall often omit the phrase “relative to E,” which is tacitly assumed in any context like this.

2 See e.g., D. V. Widder, Advanced Calculus, second edition, Prentice-Hall, Inc., Englewood Cliffs, N.J. (1961), p. 17.

3 The reader should verify this assertion, guided by (3.11).

4 Formula (3.27) means that given any ε > 0, there is an integer N(ε) > 0 and a sequence {θn}, where each θn is a value of Arg rn, such that |θn – θ| < ε for all n > N(ε). Clearly, θ is only defined to within a multiple of 2π. The angle θ will always be measured from the positive real axis to the tangent τ (in the counterclockwise direction for a positive value of θ).

5 This condition is automatically satisfied if λ′(t0) ≠ 0, since otherwise rn = 0 for t arbitrarily close to t0, which implies that λ′(t0) = 0, contrary to hypothesis.

6 In reversing the order of the operations Arg and images we have used the fact that f′(z0) ≠ 0.

7 Here the word magnification is used in a general sense, and can correspond to stretcting if |f′(z0)| > 1 or shrinking if |f′(z0)| < 1 [or neither if |f′(z0)| = 1].

8 Obviously, z0 is invariant under the transformation (3.31), i.e., z0 is a fixed point of the transformation. If α ≠ 0, the point at infinity is also a fixed point (see Sec. 25).

9 The curves γ1 and γ2 are unbounded, in the sense of Sec. 12, Prob. 2.