Book 5A

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Course 5Book 5A: Complex Analysis and Conformal GeometryChapter 3

Residues and Fourier Transforms

Contour integration, the argument principle and Nyquist stability.

30 min read · Updated Oct 2, 2026

Read with Stein and Shakarchi, Complex Analysis, chapter 3, "Meromorphic Functions and the Logarithm" (zeros and poles, the residue formula, the argument principle and Rouché's theorem), and chapter 4, "The Fourier Transform", sections 1 and 2.

In this chapter · 7 sections
  1. 3.1Will the loop oscillate?
  2. 3.2Zeros, poles and Laurent series
  3. 3.3The residue theorem
  4. 3.3.1Real integrals
  5. 3.4Fourier transforms by moving contours
  6. 3.5The argument principle
  7. 3.5.1The Nyquist criterion
  8. 3.6History
  9. 3.7Exercises

Cauchy's theorem says that the integral of a holomorphic function around a loop is zero. When the function has isolated singularities inside the loop, the integral is not zero, but it is still easy: each singularity contributes 2πi2\pi i times a single number, its residue. This turns contour integration into a calculating machine. Real integrals that resist every trick of first-year calculus fall in a few lines, and so do the Fourier transforms of 4A.5 The Fourier Transform.

The same idea, applied to f′/ff'/f, counts zeros: the integral of f′/ff'/f around a loop is 2πi2\pi i times the number of zeros inside, minus the number of poles. This is the argument principle, and it is the first theorem in the guide where an integral computes a whole number with topological meaning. Engineers use it every day, in the form of the Nyquist stability criterion.

By the end of this chapter you will be able to:

  • classify isolated singularities and compute residues;
  • state and prove the residue theorem, and use it to evaluate real integrals;
  • compute Fourier transforms by shifting contours, and explain why analyticity of ff makes f^\hat f decay exponentially;
  • state and prove the argument principle and Rouché's theorem;
  • explain the Nyquist criterion as an application of the argument principle, and use it on an example.

Will the loop oscillate?

In the world In use The Nyquist stability criterion

A feedback loop measures the output of a system, compares it with the desired value, and feeds the difference back in: a thermostat, a cruise control, an amplifier, an autopilot. Feedback makes systems accurate, but too much of it makes them oscillate or run away. In the 1920s telephone engineers at Bell Laboratories, building long-distance amplifiers with negative feedback, needed a reliable way to tell in advance whether a loop would be stable.

A linear system is described by its transfer function G(s)G(s), a rational function of a complex frequency ss. The response to an input este^{st} is G(s)estG(s)e^{st}; in particular G(iω)G(i\omega) describes the response to an oscillation of frequency ω\omega, which can be measured. Closing the loop gives the transfer function G1+G\frac{G}{1 + G}, and the closed loop is stable when all its poles, the zeros of 1+G1 + G, lie in the left half-plane Re⁡s<0\operatorname{Re}s < 0: each pole s0s_0 contributes a term es0te^{s_0t} to the response, which decays exactly when Re⁡s0<0\operatorname{Re}s_0 < 0 (as with the eigenvalues of 1A.11 Linear Differential Equations).

Harry Nyquist's 1932 paper "Regeneration Theory" gave a criterion that needs only the measured curve ω↦G(iω)\omega \mapsto G(i\omega), the Nyquist plot: count how many times it winds around the point −1-1. If GG itself has no poles in the right half-plane, the closed loop is stable exactly when the Nyquist plot does not encircle −1-1 (Figure 3.2). The criterion is still taught in every control course and used in practice, because it works from measured frequency response and shows not only whether a loop is stable but how close it is to instability. It is the argument principle of this chapter, applied to the function 1+G1 + G on the right half-plane (Theorem 3.9).

Zeros, poles and Laurent series

Let ff be holomorphic on a punctured disc 0<∣z−a∣<r0 < |z - a| < r. The point aa is an isolated singularity, and there are three possibilities.

  • Removable: ff extends holomorphically to aa. By Riemann's theorem this happens as soon as ff is bounded near aa (Exercise 3.12).
  • Pole: ∣f(z)∣→∞|f(z)| \to \infty as z→az \to a. Then f(z)=(z−a)−mg(z)f(z) = (z - a)^{-m}g(z) for some integer m≥1m \geq 1, the order of the pole, and gg holomorphic with g(a)≠0g(a) \neq 0. A function holomorphic except for poles is meromorphic.
  • Essential: neither. Near an essential singularity ff comes arbitrarily close to every complex value (the Casorati–Weierstrass theorem); e1/ze^{1/z} at 00 is the standard example.

In all three cases ff has a Laurent expansion

f(z)=∑n=−∞∞an(z−a)n,an=12πi∮∣z−a∣=ρf(z)(z−a)n+1 dz,f(z) = \sum_{n=-\infty}^{\infty}a_n(z - a)^n, \qquad a_n = \frac{1}{2\pi i}\oint_{|z-a|=\rho}\frac{f(z)}{(z - a)^{n+1}}\,dz,

converging on the punctured disc. It comes from Cauchy's formula applied on an annulus, with the inner circle contributing the negative powers. The singularity is removable if no negative powers occur, a pole of order mm if the most negative is (z−a)−m(z - a)^{-m}, and essential if there are infinitely many.

Definition 3.1 Residue

The residue of ff at an isolated singularity aa is the coefficient a−1a_{-1} of (z−a)−1(z - a)^{-1} in its Laurent expansion, written res⁡af\operatorname{res}_af. Equivalently,

res⁡af=12πi∮∣z−a∣=ρf(z) dz\operatorname{res}_af = \frac{1}{2\pi i}\oint_{|z-a|=\rho}f(z)\,dz

for any small ρ\rho.

The residue is the only coefficient that survives integration around aa, because ∮(z−a)n dz\oint(z - a)^n\,dz is 2πi2\pi i for n=−1n = -1 and 00 for every other integer (5A.2 Cauchy’s Theorem and Its Consequences). At poles it is computed without finding the whole series:

  • at a simple pole, res⁡af=lim⁡z→a(z−a)f(z)\operatorname{res}_af = \lim_{z\to a}(z - a)f(z); in particular, if f=g/hf = g/h with g(a)≠0g(a) \neq 0 and hh having a simple zero at aa, then res⁡af=g(a)h′(a)\operatorname{res}_af = \frac{g(a)}{h'(a)};
  • at a pole of order mm, res⁡af=1(m−1)!lim⁡z→adm−1dzm−1[(z−a)mf(z)]\operatorname{res}_af = \frac{1}{(m-1)!}\lim_{z\to a}\frac{d^{m-1}}{dz^{m-1}}\big[(z - a)^mf(z)\big].

For example, 11+z2\frac{1}{1 + z^2} has simple poles at ±i\pm i with residues 12i\frac{1}{2i} and −12i-\frac{1}{2i}, and ezz3\frac{e^z}{z^3} has residue 12\frac12 at 00, the coefficient of z2z^2 in eze^z.

The residue theorem

Theorem 3.2 The residue theorem

Let ff be holomorphic on an open set containing a closed region DD with piecewise C1C^1 boundary, except at finitely many points a1,…,aka_1, \dots, a_k inside DD. Then

∮∂Df(z) dz=2πi∑j=1kres⁡ajf.\oint_{\partial D}f(z)\,dz = 2\pi i\sum_{j=1}^k\operatorname{res}_{a_j}f.

Proof. Cut a small disc around each aja_j out of DD. On what remains ff is holomorphic, so by Cauchy's theorem for regions with holes (5A.2 Cauchy’s Theorem and Its Consequences) the integral over ∂D\partial D equals the sum of the counterclockwise integrals over the small circles. Each of those is 2πires⁡ajf2\pi i\operatorname{res}_{a_j}f by Definition 3.1.

Real integrals

The method for an integral over the real line: close the segment [−R,R][-R, R] with a semicircle in the upper half-plane, apply the residue theorem, and show that the semicircle contributes nothing as R→∞R \to \infty (Figure 3.1).

Example 3.3 ∫dx1+x2\int\frac{dx}{1 + x^2}

For R>1R > 1 the closed contour encloses only the pole at ii, with residue 12i\frac{1}{2i}, so

∫−RRdx1+x2+∫CRdz1+z2=2πi⋅12i=π.\int_{-R}^R\frac{dx}{1 + x^2} + \int_{C_R}\frac{dz}{1 + z^2} = 2\pi i\cdot\frac{1}{2i} = \pi.

On the semicircle CRC_R, ∣1+z2∣≥R2−1|1 + z^2| \geq R^2 - 1, and its length is πR\pi R, so the second integral is at most πRR2−1→0\frac{\pi R}{R^2 - 1} \to 0. Hence ∫−∞∞dx1+x2=π\int_{-\infty}^\infty\frac{dx}{1 + x^2} = \pi. Of course arctan⁡\arctan gives this directly; but the same three lines compute ∫dx1+x4=π2\int\frac{dx}{1 + x^4} = \frac{\pi}{\sqrt2} (Exercise 3.13), where finding a primitive is unpleasant, and ∫x2 dx(1+x2)3\int\frac{x^2\,dx}{(1 + x^2)^3}, where it is worse.

Figure 3.1. The semicircle contour for ∫dx1+x2\int\frac{dx}{1 + x^2}. Only the pole at ii is enclosed. As R→∞R \to \infty the arc's contribution vanishes and the integral along the real axis equals 2πires⁡i2\pi i\operatorname{res}_i.

Integrals over a period, ∫02πR(cos⁡θ,sin⁡θ) dθ\int_0^{2\pi}R(\cos\theta, \sin\theta)\,d\theta with RR rational, go the other way: substitute z=eiθz = e^{i\theta}, so cos⁡θ=12(z+z−1)\cos\theta = \frac12(z + z^{-1}), sin⁡θ=12i(z−z−1)\sin\theta = \frac{1}{2i}(z - z^{-1}) and dθ=dzizd\theta = \frac{dz}{iz}, and the integral becomes a contour integral around the unit circle (Exercise 3.14).

Fourier transforms by moving contours

We use the convention of 4A.5 The Fourier Transform: f^(ξ)=∫−∞∞f(x)e−2πixξ dx\hat f(\xi) = \int_{-\infty}^\infty f(x)e^{-2\pi ix\xi}\,dx.

Example 3.4 The Fourier transform of 11+x2\frac{1}{1 + x^2}

For ξ≤0\xi \leq 0, the function e−2πizξe^{-2\pi iz\xi} is bounded by 11 in the upper half-plane: with z=x+iyz = x + iy, ∣e−2πizξ∣=e2πyξ≤1|e^{-2\pi iz\xi}| = e^{2\pi y\xi} \leq 1 when y≥0y \geq 0. So the semicircle argument applies to e−2πizξ1+z2\frac{e^{-2\pi iz\xi}}{1 + z^2}, and

f^(ξ)=2πires⁡z=ie−2πizξ1+z2=2πi⋅e2πξ2i=πe2πξ.\hat f(\xi) = 2\pi i\operatorname{res}_{z=i}\frac{e^{-2\pi iz\xi}}{1 + z^2} = 2\pi i\cdot\frac{e^{2\pi\xi}}{2i} = \pi e^{2\pi\xi}.

For ξ>0\xi > 0 close the contour in the lower half-plane instead (Exercise 3.15). Altogether

(11+x2)^(ξ)=πe−2π∣ξ∣.\widehat{\Big(\frac{1}{1 + x^2}\Big)}(\xi) = \pi e^{-2\pi|\xi|}.
Example 3.5 The Gaussian, by shifting the contour

In 4A.5 The Fourier Transform we showed e−πx2^=e−πξ2\widehat{e^{-\pi x^2}} = e^{-\pi\xi^2} with a differential equation. With contours: complete the square, −πx2−2πixξ=−π(x+iξ)2−πξ2-\pi x^2 - 2\pi ix\xi = -\pi(x + i\xi)^2 - \pi\xi^2, so

f^(ξ)=e−πξ2∫−∞∞e−π(x+iξ)2 dx.\hat f(\xi) = e^{-\pi\xi^2}\int_{-\infty}^\infty e^{-\pi(x + i\xi)^2}\,dx.

The last integral is the integral of the entire function e−πz2e^{-\pi z^2} along the horizontal line Im⁡z=ξ\operatorname{Im}z = \xi. By Cauchy's theorem on the rectangle with corners ±R\pm R and ±R+iξ\pm R + i\xi, it equals the integral along the real axis, which is 11 (3A.5 Product Measures and Change of Variables), up to the two vertical sides; on those ∣e−πz2∣=e−π(R2−y2)≤e−π(R2−ξ2)|e^{-\pi z^2}| = e^{-\pi(R^2 - y^2)} \leq e^{-\pi(R^2 - \xi^2)}, and the sides have length ∣ξ∣|\xi|, so they vanish as R→∞R \to \infty. Hence f^(ξ)=e−πξ2\hat f(\xi) = e^{-\pi\xi^2}: the Gaussian is its own Fourier transform.

These examples show a general principle. In 4A.5 The Fourier Transform smoothness of ff was traded for polynomial decay of f^\hat f: each derivative buys a power of ∣ξ∣|\xi|. Analyticity buys much more.

Theorem 3.6 Analyticity in a strip gives exponential decay

Suppose ff is holomorphic in the strip ∣Im⁡z∣<a|\operatorname{Im}z| < a, and ∣f(x+iy)∣≤A1+x2|f(x + iy)| \leq \frac{A}{1 + x^2} there. Then for every 0≤b<a0 \leq b < a there is BB with

∣f^(ξ)∣≤Be−2πb∣ξ∣.|\hat f(\xi)| \leq Be^{-2\pi b|\xi|}.

Proof. Take ξ>0\xi > 0. Shift the line of integration from R\mathbb{R} to R−ib\mathbb{R} - ib, justified by Cauchy's theorem on long rectangles and the decay of ff as in Example 3.5:

f^(ξ)=∫−∞∞f(x−ib)e−2πi(x−ib)ξ dx.\hat f(\xi) = \int_{-\infty}^\infty f(x - ib)e^{-2\pi i(x - ib)\xi}\,dx.

Since ∣e−2πi(x−ib)ξ∣=e−2πbξ|e^{-2\pi i(x - ib)\xi}| = e^{-2\pi b\xi}, the integral is at most e−2πbξ∫A1+x2dx=πAe−2πbξe^{-2\pi b\xi}\int\frac{A}{1 + x^2}dx = \pi Ae^{-2\pi b\xi}. For ξ<0\xi < 0 shift upwards instead.

The function 11+x2\frac{1}{1 + x^2} is holomorphic in the strip ∣Im⁡z∣<1|\operatorname{Im}z| < 1, with poles on its edges at ±i\pm i, and its transform πe−2π∣ξ∣\pi e^{-2\pi|\xi|} decays at exactly the borderline rate b=1b = 1. The Gaussian is entire, and its transform decays faster than every exponential. The Paley–Wiener theorem (Stein–Shakarchi, chapter 4) completes the picture: f^\hat f vanishes outside [−M,M][-M, M] exactly when ff extends to an entire function of exponential type 2πM2\pi M.

Where this goes Smoothing by the heat equation, seen in frequencies

The heat equation multiplies u^\hat u by e−4π2t∣ξ∣2e^{-4\pi^2t|\xi|^2} (4A.5 The Fourier Transform), which decays faster than any exponential. The converse of Theorem 3.6 is the easier direction: if u^\hat u decays that fast, the inversion integral ∫u^(ξ)e2πixξ dξ\int\hat u(\xi)e^{2\pi ix\xi}\,d\xi converges for complex xx too and defines an entire function. So a solution with integrable initial data is, at any positive time, not only smooth but real-analytic in xx: the heat equation smooths instantly and completely. This is the frequency-side view of the smoothing in 6A.3 The Heat Equation on ℝⁿ. It also explains why the backward heat equation is hopeless (6A.1 What a PDE Is): running time backwards multiplies high frequencies by e+4π2t∣ξ∣2e^{+4\pi^2t|\xi|^2}, and only analytic data can survive that.

The argument principle

Theorem 3.7 The argument principle

Let ff be meromorphic on an open set containing a closed region DD with boundary curve γ\gamma, with no zeros or poles on γ\gamma. Then

12πi∮γf′(z)f(z) dz=Z−P,\frac{1}{2\pi i}\oint_\gamma\frac{f'(z)}{f(z)}\,dz = Z - P,

where ZZ and PP are the numbers of zeros and poles of ff inside DD, counted with multiplicity. The left side equals the winding number of the closed curve f∘γf\circ\gamma around 00.

Proof. Near a zero of order mm at aa, f(z)=(z−a)mg(z)f(z) = (z - a)^mg(z) with g(a)≠0g(a) \neq 0, so

f′f=mz−a+g′g,\frac{f'}{f} = \frac{m}{z - a} + \frac{g'}{g},

and g′g\frac{g'}{g} is holomorphic near aa: the residue of f′f\frac{f'}{f} at aa is mm. At a pole of order mm the same computation with −m-m gives residue −m-m. Elsewhere f′f\frac{f'}{f} is holomorphic. The residue theorem gives Z−PZ - P. For the second statement, substitute w=f(z)w = f(z): ∮γf′f dz=∮f∘γdww\oint_\gamma\frac{f'}{f}\,dz = \oint_{f\circ\gamma}\frac{dw}{w}, and 12πi∮dww\frac{1}{2\pi i}\oint\frac{dw}{w} is the number of times the curve winds around 00, since dww=dlog⁡w\frac{dw}{w} = d\log w and each turn changes log⁡w\log w by 2πi2\pi i (5A.2 Cauchy’s Theorem and Its Consequences).

In words: as zz goes once around γ\gamma, the argument of f(z)f(z) increases by 2π2\pi times the number of zeros minus poles inside. The answer is an integer, so it doesn't change under small perturbations, which is the source of its power.

Corollary 3.8 Rouché's theorem

If ff and gg are holomorphic on an open set containing DD and ∣g∣<∣f∣|g| < |f| on γ=∂D\gamma = \partial D, then ff and f+gf + g have the same number of zeros inside DD.

Proof. On γ\gamma, f+g=f⋅(1+g/f)f + g = f\cdot(1 + g/f) and ∣g/f∣<1|g/f| < 1, so the curve 1+g/f1 + g/f stays in the disc of radius 11 about 11, which doesn't contain 00: its winding number around 00 is zero. Winding numbers add under multiplication (the logarithms add), so f+gf + g and ff wind the same number of times around 00, and by the argument principle they have the same number of zeros inside.

For example, z5+3z+1z^5 + 3z + 1 has all five of its zeros in ∣z∣<2|z| < 2, since ∣z5∣=32>7≥∣3z+1∣|z^5| = 32 > 7 \geq |3z + 1| on ∣z∣=2|z| = 2; and exactly one in ∣z∣<1|z| < 1, since there ∣3z∣=3>2≥∣z5+1∣|3z| = 3 > 2 \geq |z^5 + 1| (Exercise 3.16).

The Nyquist criterion

Theorem 3.9 The Nyquist criterion

Let GG be a rational function with G(s)→0G(s) \to 0 as ∣s∣→∞|s| \to \infty, with no poles on the imaginary axis and PP poles in the right half-plane, and suppose 1+G1 + G has no zeros on the imaginary axis. Let NN be the number of times the curve ω↦G(iω)\omega \mapsto G(i\omega), −∞<ω<∞-\infty < \omega < \infty, winds clockwise around −1-1. Then 1+G1 + G has exactly Z=N+PZ = N + P zeros in the right half-plane. In particular, if P=0P = 0, the closed loop is stable if and only if the Nyquist plot does not encircle −1-1.

Proof. Apply the argument principle to F=1+GF = 1 + G on the half-disc {∣s∣≤R,Re⁡s≥0}\{|s| \leq R, \operatorname{Re}s \geq 0\}, with RR large enough to contain all its zeros and poles in the right half-plane. The poles of FF are those of GG. Traverse the boundary clockwise (up the imaginary axis, then back around the large semicircle), so the argument principle counts clockwise turns: F∘γF\circ\gamma winds clockwise around 00 exactly Z−PZ - P times. On the large semicircle G≈0G \approx 0, so F≈1F \approx 1 contributes nothing in the limit. On the imaginary axis, F(iω)F(i\omega) winds around 00 exactly as G(iω)G(i\omega) winds around −1-1. So N=Z−PN = Z - P.

Figure 3.2. Nyquist plots of G(s)=K(s+1)3G(s) = \frac{K}{(s + 1)^3} (computed). Solid: ω≥0\omega \geq 0; dashed: ω<0\omega < 0, the mirror image. To fit both scales, distances from 00 are compressed: a point at distance rr is drawn at distance 2r1+r\frac{2r}{1 + r}. This keeps −1-1 where it is and changes neither angles about 00 nor which points are encircled; the labels give true values. The curve crosses the negative real axis at −K/8-K/8. For K=4K = 4 (left) the point −1-1 (dot) is not encircled and the closed loop is stable; for K=12K = 12 (right) it is encircled twice clockwise, and the closed loop has two poles in the right half-plane.
Example 3.10 Three lags in a loop

Take G(s)=K(s+1)3G(s) = \frac{K}{(s + 1)^3} with K>0K > 0, three identical first-order lags in series, a standard model of a loop with delay. GG has no poles in the right half-plane, so P=0P = 0. Its phase at frequency ω\omega is −3arctan⁡ω-3\arctan\omega, which equals −180°-180° at ω=3\omega = \sqrt3, where ∣G∣=K(1+3)3/2=K8|G| = \frac{K}{(1 + 3)^{3/2}} = \frac K8. So the Nyquist plot crosses the negative real axis at −K/8-K/8. For K<8K < 8 the point −1-1 lies outside the curve and the loop is stable; for K>8K > 8 it is encircled twice and two closed-loop poles have crossed into the right half-plane (Figure 3.2). You can check this directly (Exercise 3.17): the zeros of 1+G1 + G are s=−1+K1/3eiπ(2k+1)/3s = -1 + K^{1/3}e^{i\pi(2k+1)/3}, and two of them have positive real part exactly when K1/3>2K^{1/3} > 2. The ratio 8/K8/K is the gain margin: how much the gain can grow before the loop goes unstable.

Where this goes Integers from integrals

The argument principle computes a whole number, the count of zeros, as an integral, and the number is stable under deformation. This is the first instance of a pattern that runs through geometry and topology. The winding number is the degree of a map from a circle to a circle, and degree theory in every dimension (7A.7 Smooth Topology) gives the hairy ball theorem and Poincaré–Hopf. The Gauss–Bonnet theorem (8A.9 The Curvature of Surfaces) computes the Euler characteristic, an integer, as the integral of the curvature; in 11A.7 Ricci Flow on Surfaces it is what fixes the sign of the curvature that the two-dimensional Ricci flow converges to.

History

Cauchy introduced residues in 1826 and developed the calculus of residues over the following years; Pierre Alphonse Laurent's expansions date from 1843 (Weierstrass had found them earlier but not published). Eugène Rouché's theorem appeared in 1862. The decay of Fourier transforms of analytic functions was made precise by Raymond Paley and Norbert Wiener in their 1934 book Fourier Transforms in the Complex Domain. Harry Nyquist, at Bell Telephone Laboratories, published "Regeneration Theory" in the Bell System Technical Journal in January 1932, to analyse the stability of feedback amplifiers; it founded the frequency-domain approach to the stability of control systems.

Recall Where we stand

An isolated singularity is removable, a pole or essential; its residue is the coefficient of (z−a)−1(z - a)^{-1}, and the residue theorem says a contour integral is 2πi2\pi i times the sum of the residues inside. Closing contours with semicircles evaluates real integrals, and shifting contours computes Fourier transforms: 11+x2↦πe−2π∣ξ∣\frac{1}{1 + x^2} \mapsto \pi e^{-2\pi|\xi|}, e−πx2↦e−πξ2e^{-\pi x^2} \mapsto e^{-\pi\xi^2}, and analyticity in a strip gives exponential decay of f^\hat f. Applied to f′/ff'/f, residues count zeros minus poles (the argument principle), which gives Rouché's theorem and the Nyquist criterion. 5A.4 Harmonic Functions and Conformal Mapping returns to harmonic functions and to conformal maps, and proves the Riemann mapping theorem.

Exercises

Exercise 3.11 Computing residues

Find the residues: (a) 1(z2+1)2\frac{1}{(z^2 + 1)^2} at ii; (b) 1sin⁡z\frac{1}{\sin z} at 00; (c) zz4+1\frac{z}{z^4 + 1} at eiπ/4e^{i\pi/4}; (d) e1/ze^{1/z} at 00.

Solution

(a) Pole of order 22: ddz(z+i)−2∣z=i=−2(2i)−3=−2−8i=14i=−i4\frac{d}{dz}(z + i)^{-2}\big|_{z=i} = -2(2i)^{-3} = -\frac{2}{-8i} = \frac{1}{4i} = -\frac i4. (b) 1cos⁡0=1\frac{1}{\cos0} = 1. (c) z4z3=14z2\frac{z}{4z^3} = \frac{1}{4z^2} at z=eiπ/4z = e^{i\pi/4}: 14i=−i4\frac{1}{4i} = -\frac i4. (d) e1/z=∑1n!zne^{1/z} = \sum\frac{1}{n!z^n}, residue 11 (an essential singularity).

Exercise 3.12 Riemann's removable singularity theorem

Let ff be holomorphic and bounded on 0<∣z−a∣<r0 < |z - a| < r. Show that the Laurent coefficients ana_n with n<0n < 0 vanish, by estimating them on circles of radius ρ→0\rho \to 0. Conclude that ff extends holomorphically to aa.

Exercise 3.13 A quartic integral

Show that ∫−∞∞dx1+x4=π2\int_{-\infty}^\infty\frac{dx}{1 + x^4} = \frac{\pi}{\sqrt2}.

Solution

The poles in the upper half-plane are eiπ/4e^{i\pi/4} and e3iπ/4e^{3i\pi/4}, with residues 14z3=z4z4=−z4\frac{1}{4z^3} = \frac{z}{4z^4} = -\frac z4, i.e. −14eiπ/4-\frac14e^{i\pi/4} and −14e3iπ/4-\frac14e^{3i\pi/4}. Their sum is −14⋅i2-\frac14\cdot i\sqrt2, and 2πi2\pi i times it is π22=π2\frac{\pi\sqrt2}{2} = \frac{\pi}{\sqrt2}. The semicircle contributes at most πRR4−1→0\frac{\pi R}{R^4 - 1} \to 0.

Exercise 3.14 A trigonometric integral

For a>1a > 1, show that ∫02πdθa+cos⁡θ=2πa2−1\int_0^{2\pi}\frac{d\theta}{a + \cos\theta} = \frac{2\pi}{\sqrt{a^2 - 1}}.

Solution

With z=eiθz = e^{i\theta} the integral is ∮∣z∣=1dziz (a+12(z+z−1))=2i∮dzz2+2az+1\oint_{|z|=1}\frac{dz}{iz\,(a + \frac12(z + z^{-1}))} = \frac2i\oint\frac{dz}{z^2 + 2az + 1}. The roots are −a±a2−1-a \pm\sqrt{a^2 - 1}; only z+=−a+a2−1z_+ = -a + \sqrt{a^2 - 1} is inside the circle (their product is 11). The residue there is 1z+−z−=12a2−1\frac{1}{z_+ - z_-} = \frac{1}{2\sqrt{a^2 - 1}}, so the integral is 2i⋅2πi⋅12a2−1=2πa2−1\frac2i\cdot2\pi i\cdot\frac{1}{2\sqrt{a^2 - 1}} = \frac{2\pi}{\sqrt{a^2 - 1}}.

Exercise 3.15 The other half

Finish Example 3.4 for ξ>0\xi > 0 by closing in the lower half-plane (which traverses the contour clockwise). Then use Fourier inversion (4A.5 The Fourier Transform) to deduce that the Fourier transform of e−2π∣x∣e^{-2\pi|x|} is 1π(1+ξ2)\frac{1}{\pi(1 + \xi^2)}, and check this by direct integration.

Exercise 3.16 Counting zeros with Rouché

(a) Verify the two inequalities in the example after Corollary 3.8, and conclude that z5+3z+1z^5 + 3z + 1 has exactly four zeros in the annulus 1<∣z∣<21 < |z| < 2. (b) Use Rouché to prove the fundamental theorem of algebra again: a polynomial of degree nn has nn zeros in a large disc.

Exercise 3.17 Checking the Nyquist example

For G(s)=K(s+1)3G(s) = \frac{K}{(s + 1)^3}, solve 1+G(s)=01 + G(s) = 0 exactly and confirm that the closed loop is stable if and only if K<8K < 8. For K=12K = 12, find the two unstable poles numerically and compare with Figure 3.2.

Solution

(s+1)3=−K(s + 1)^3 = -K gives s+1=K1/3eiπ(2k+1)/3s + 1 = K^{1/3}e^{i\pi(2k+1)/3}, k=0,1,2k = 0, 1, 2: angles 60°60°, 180°180°, 300°300°. The root at 180°180° is s=−1−K1/3s = -1 - K^{1/3}, always stable. The others have real part −1+12K1/3-1 + \frac12K^{1/3}, positive exactly when K>8K > 8. For K=12K = 12, K1/3≈2.289K^{1/3} \approx 2.289, so s≈0.145±1.983is \approx 0.145 \pm 1.983i: an oscillation growing slowly, at a frequency close to 3≈1.73\sqrt3 \approx 1.73, the crossover frequency of the Nyquist plot.

Exercise 3.18 The Kutta–Joukowski law by residues

For a steady ideal flow with complex velocity w=F′w = F' around a body, the force on the body per unit length is given by Blasius's formula X−iY=iρ2∮w2 dzX - iY = \frac{i\rho}{2}\oint w^2\,dz, the integral taken counterclockwise around the body (you may take this as given). For the cylinder potential of 5A.2 Cauchy’s Theorem and Its Consequences, w=V(1−a2z2)+iΓ2πzw = V\big(1 - \frac{a^2}{z^2}\big) + \frac{i\Gamma}{2\pi z}, compute the residue of w2w^2 at 00 and show that X=0X = 0 (no drag) and Y=ρVΓY = \rho V\Gamma (lift).

Solution

w2=V2(1−a2z2)2+iVΓπz(1−a2z2)−Γ24π2z2w^2 = V^2\big(1 - \frac{a^2}{z^2}\big)^2 + \frac{iV\Gamma}{\pi z}\big(1 - \frac{a^2}{z^2}\big) - \frac{\Gamma^2}{4\pi^2z^2}. The only 1z\frac1z term is iVΓπz\frac{iV\Gamma}{\pi z}, so ∮w2 dz=2πi⋅iVΓπ=−2VΓ\oint w^2\,dz = 2\pi i\cdot\frac{iV\Gamma}{\pi} = -2V\Gamma, and X−iY=iρ2(−2VΓ)=−iρVΓX - iY = \frac{i\rho}{2}(-2V\Gamma) = -i\rho V\Gamma. So X=0X = 0 and Y=ρVΓY = \rho V\Gamma. That there is no drag at all is d'Alembert's paradox: in an ideal fluid without viscosity, steady flow exerts no drag on any body.

Exercise 3.19 Rehearsal: the heat kernel from the Gaussian

The heat equation ut=uxxu_t = u_{xx} on the line acts on Fourier transforms by u^(ξ,t)=e−4π2tξ2u^(ξ,0)\hat u(\xi, t) = e^{-4\pi^2t\xi^2}\hat u(\xi, 0) (4A.5 The Fourier Transform). Using e−πx2^=e−πξ2\widehat{e^{-\pi x^2}} = e^{-\pi\xi^2} and the scaling rule for Fourier transforms, show that the inverse transform of e−4π2tξ2e^{-4\pi^2t\xi^2} is

14πte−x2/4t,\frac{1}{\sqrt{4\pi t}}e^{-x^2/4t},

the heat kernel of 6A.3 The Heat Equation on ℝⁿ. Then explain, using Theorem 3.6, why it is no accident that the heat kernel at time t>0t > 0 extends to an entire function of xx.

Solution

e−4π2tξ2=g(cξ)e^{-4\pi^2t\xi^2} = g(c\xi) with g(ξ)=e−πξ2g(\xi) = e^{-\pi\xi^2} and c=2πtc = 2\sqrt{\pi t}. If h^=g\hat h = g then h^(c ⋅)\hat h(c\,\cdot) is the transform of 1ch(x/c)\frac1ch(x/c), so the inverse transform is 12πte−πx2/4πt=14πte−x2/4t\frac{1}{2\sqrt{\pi t}}e^{-\pi x^2/4\pi t} = \frac{1}{\sqrt{4\pi t}}e^{-x^2/4t}. Its transform decays like e−4π2tξ2e^{-4\pi^2t\xi^2}, faster than e−2πb∣ξ∣e^{-2\pi b|\xi|} for every bb, so, as in the ahead box after Theorem 3.6, the inversion integral converges for every complex xx and defines an entire function.

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