Skip to main content

Computing Residues Using Laurent Series: A Beginner’s Guide

Introduction

Have you ever wondered how mathematicians work with functions that "blow up" at certain points? In complex analysis, we use Laurent series to express functions with singularities (points where they become infinite or undefined). From these series, we can extract something called the residue, which plays a crucial role in evaluating contour integrals.

In this post, we’ll learn how to compute residues using Laurent series by working through two examples:

  1. f(z)=e1/zf(z) = e^{1/z}, a function with an essential singularity at z=0z = 0.
  2. g(z)=ln(1+z)1+z2g(z) = \frac{\ln(1+z)}{1+z^2}, a function with isolated singularities that we will analyze.

No prior knowledge of complex analysis is needed—just a curiosity for math!


What is a Laurent Series?

A Laurent series is like a Taylor series but allows for negative powers of zz. It takes the form:

f(z)=n=cn(za)n.f(z) = \sum_{n=-\infty}^{\infty} c_n (z-a)^n.

where:

  • cnc_n are coefficients,
  • aa is the center of expansion,
  • Negative powers of (za)(z-a) represent singular behavior.

Residue Definition: The residue of f(z)f(z) at z=az = a is the coefficient c1c_{-1} in the Laurent series expansion of f(z)f(z) around z=az = a.

The residue is key to the Residue Theorem, which allows us to evaluate complex integrals using simple calculations.


Example 1: Finding the Residue of f(z)=e1/zf(z) = e^{1/z} at z=0z = 0

We begin with the function:

f(z)=e1/z.f(z) = e^{1/z}.

Step 1: Expand the Function

We use the Maclaurin series for exe^x:

ex=n=0xnn!.e^x = \sum_{n=0}^{\infty} \frac{x^n}{n!}.

Substituting x=1/zx = 1/z, we get:

e1/z=n=0(1/z)nn!=n=01n!zn.e^{1/z} = \sum_{n=0}^{\infty} \frac{(1/z)^n}{n!} = \sum_{n=0}^{\infty} \frac{1}{n!} z^{-n}.

Step 2: Identify the Residue

From the Laurent series:

e1/z=10!z0+11!z1+12!z2+13!z3+e^{1/z} = \frac{1}{0!} z^0 + \frac{1}{1!} z^{-1} + \frac{1}{2!} z^{-2} + \frac{1}{3!} z^{-3} + \dots

The coefficient of z1z^{-1} is 11, so:

Res(f,0)=1.\text{Res}(f, 0) = 1.

This tells us that f(z)f(z) has a residue of 1 at z=0z = 0.


Example 2: Laurent Series for g(z)=ln(1+z)1+z2g(z) = \frac{\ln(1+z)}{1+z^2}

Now, let's consider:

g(z)=ln(1+z)1+z2.g(z) = \frac{\ln(1+z)}{1+z^2}.

This function has singularities where 1+z2=01+z^2 = 0, which happens at:

z=±i.z = \pm i.

We will expand the function in a Laurent series around z=0z = 0.

Step 1: Expand ln(1+z)\ln(1+z)

We use the Maclaurin series for ln(1+z)\ln(1+z):

ln(1+z)=n=1(1)n+1znn,for z<1.\ln(1+z) = \sum_{n=1}^{\infty} (-1)^{n+1} \frac{z^n}{n}, \quad \text{for } |z| < 1.

So:

ln(1+z)=zz22+z33z44+\ln(1+z) = z - \frac{z^2}{2} + \frac{z^3}{3} - \frac{z^4}{4} + \dots

Step 2: Divide by 1+z21+z^2

Using the geometric series expansion:

11+z2=n=0(1)nz2n,\frac{1}{1+z^2} = \sum_{n=0}^{\infty} (-1)^n z^{2n},

we multiply:

g(z)=(zz22+z33z44+)n=0(1)nz2n.g(z) = (z - \frac{z^2}{2} + \frac{z^3}{3} - \frac{z^4}{4} + \dots) \cdot \sum_{n=0}^{\infty} (-1)^n z^{2n}.

Step 3: Identify the Residue

To find the residue, we look for the coefficient of z1z^{-1}. Notice that all terms contain only nonnegative powers of zz, meaning there is no z1z^{-1} term in the Laurent series.

Thus, the residue of g(z)g(z) at z=0z = 0 is:

Res(g,0)=0.\text{Res}(g, 0) = 0.

This tells us that g(z)g(z) has no contribution to contour integrals at z=0z = 0.


P.S. Laurent Series at z=iz = i for g(z)g(z)

Now, let’s expand g(z)g(z) around z=iz = i. To do this, we substitute w=ziw = z - i (so that z=w+iz = w + i).

Since:

1+z2=(zi)(z+i),1 + z^2 = (z-i)(z+i),

we rewrite:

g(z)=ln(1+z)(zi)(z+i).g(z) = \frac{\ln(1+z)}{(z-i)(z+i)}.

Expanding ln(1+z)\ln(1+z) at z=iz = i, we write:

ln(1+z)=ln(1+i)+n=1(1)n+1(zi)nn.\ln(1+z) = \ln(1+i) + \sum_{n=1}^{\infty} (-1)^{n+1} \frac{(z-i)^n}{n}.

Using partial fraction decomposition:

1(zi)(z+i)=Azi+Bz+i,\frac{1}{(z-i)(z+i)} = \frac{A}{z-i} + \frac{B}{z+i},

solving for AA, we get:

A=12i.A = \frac{1}{2i}.

Thus, the residue at z=iz = i is:

Res(g,i)=ln(1+i)2i.\text{Res}(g, i) = \frac{\ln(1+i)}{2i}.

Final Thoughts

Residues are incredibly useful in complex analysis and help evaluate integrals in physics and engineering. If you want to practice, try finding the Laurent series and residues for ezz\frac{e^z}{z} at z=0z = 0!

Comments

Popular posts from this blog

What is Mathematical Fluency?

What does it really mean for students to be mathematically fluent? If you’ve been in any math PD over the past few years, you’ve likely heard the phrase everywhere. We talk about fluency as something students should develop, strengthen, and demonstrate, but it can still feel abstract when we try to describe it in observable, classroom-ready terms. This post breaks down mathematical fluency into the two simplest frames we can use as teachers: what it looks like and what it sounds like . These descriptions can guide instruction, assessment, student goal-setting, and even walkthrough conversations with colleagues or administrators. What Mathematical Fluency Looks Like In a classroom where students are developing mathematical fluency, you see students making choices about strategies rather than following steps robotically. They use representations—number lines, diagrams, tables, graphs, manipulatives, symbolic expressions—and switch between them to make sense of a problem. They move ...

The Tribe of Math Mentors: 11 Questions Every Educator Should Answer

It is easy to get caught up in the vague, existential questions of education: How do I become a better teacher? How do I make math engaging? How do I survive the burnout? But as author Tim Ferriss noted when writing his book Tribe of Mentors, "Life punishes the vague wish and rewards the specific ask." When Ferriss set out to deconstruct the habits of world-class performers, he didn’t ask them broad questions about "the secret to success." He engineered 11 highly specific questions designed to bypass rehearsed answers and force his subjects to share actionable, vulnerable, and unconventional insights. Recently, I started thinking about how perfectly this methodology translates to our world. What if we asked these exact types of questions to master math teachers? What if we used them to guide the next generation of educators? Here is my best thinking of what Ferriss’s Tribe of Mentors questionnaire looks like when translated into the context of the mathematics classr...

Beyond Taylor Series: The Magic and History of Padé Approximations

If you have ever taken a calculus class, you probably remember the Taylor series. It is the mathematical magic trick that lets you turn complicated functions—like sines, cosines, and exponentials—into simple, infinitely long polynomials. For centuries, it has been a cornerstone of numerical mathematics. But the Taylor series has a dark secret: it frequently breaks. If a function has a vertical asymptote (a pole) or if you move too far from your starting point, the Taylor series spirals out of control into infinity. It is strictly bounded by what mathematicians call a "radius of convergence." Enter the Padé approximation . Instead of using a single polynomial to estimate a function, a Padé approximant uses a fraction (a ratio of two polynomials). This simple structural change unlocks a profound level of mathematical power, allowing us to see past the limits of Taylor series and model complex, chaotic systems in modern physics and engineering. A Brief History: From Franc...