Laurent Series
Series with negative powers around singularities.
Key idea
Series with negative powers around singularities.
In depth
In an annulus around a singularity, f(z) = Σ aₙ(z − a)ⁿ over all integers n, including negative powers. The negative part captures the singular behaviour, and a₋₁ is the residue.
Worked example
1/(z(1 − z)) = 1/z + 1 + z + ... for 0 < |z| < 1.
Real-world uses
- Analysing signals and circuits with singular behaviour, such as poles in filter design
Common mistake
Using a Taylor expansion where the function is singular.
How to learn this
- Read the key idea and say it in your own words.
- Work through the worked example, then try a similar problem.
- Use the interactive lesson’s visual and mini-quiz to check the pattern.
Frequently asked questions
What is Laurent Series?
Series with negative powers around singularities. It is a topic at the expert level in Analysis & Topology.
Where is Laurent Series used in real life?
Real-world examples: Analysing signals and circuits with singular behaviour, such as poles in filter design.
What should I learn before Laurent Series?
Make sure you are comfortable with Fundamental Theorem of Algebra, the previous topic in Analysis & Topology.
What is a common mistake with Laurent Series?
Using a Taylor expansion where the function is singular.
How can I practise Laurent Series?
Open the interactive lesson, play with the visual, then answer the three-question mini-quiz. Getting two right marks the topic complete.
What comes after Laurent Series?
Move on to Singularities and Residues next.
Related expert topics in Analysis & Topology
- Axioms of the Real Numbers – ℝ is a complete ordered field.
- Completeness and Supremum – Every nonempty bounded-above set has a least upper bound.
- Archimedean Property – For any real x there is an integer n > x.
- Density of Rationals – Between any two reals there is a rational.
- Sequences and Convergence (ε–N) – aₙ → L if for every ε>0 eventually |aₙ − L| < ε.
- Limit Theorems for Sequences – Algebra of limits and squeeze theorem.