When a function has an isolated singularity at — analytic on some punctured disk but not at — there is no Taylor series at . There is a generalization, the Laurent series, which permits negative powers:
The terms with are called the principal part; the terms with are the regular part. The principal part detects the singularity.
Theorem (Laurent)
If is analytic on the annulus (with possibly and possibly ), then on that annulus
with
for any circle in the annulus.
The coefficient formula is what you’d guess by analogy with the generalized CIF, extended to negative .
Sketch of proof
Apply the Deformation principle in a “keyhole” enclosing a target in the annulus: an outer circle (radius slightly less than , counterclockwise) and an inner circle (radius slightly more than , clockwise). By Cauchy’s theorem on the simply connected region between,
On the outer circle : expand as a geometric series in non-negative powers of . On the inner circle : expand the same kernel as a geometric series in , which extracts negative powers of .
Term by term integration gives the two-sided Laurent series. ∎
In practice: manipulate known series
You rarely compute Laurent coefficients from the integral formula. Instead, manipulate known Taylor series of related functions.
Example. around . Use :
Two negative-power terms ( and ); then a Taylor-like tail. So , , , , etc.
Example. around , in the annulus .
Partial fractions: for .
Laurent series: on .
Same function, larger annulus. Same on . Now we can’t use (diverges). Rewrite:
for . So on this annulus, .
Different Laurent series for the same function on different annuli. The series depends on the annulus, not just on the function. Which annulus matters in your problem depends on what set you’re working on.
Singularity classification
The negative-power terms of the Laurent series at classify the singularity:
- Removable singularity. No negative terms; the Laurent series is actually a Taylor series. has a finite limit at and can be extended analytically by setting that limit. Example: at , with .
- Pole of order . Finitely many negative terms, with the most negative being where and for . Example: has a pole of order 2 at 0.
- Essential singularity. Infinitely many negative terms. Example: has an essential singularity at 0.
Each type has different residue formulas; see Residue (complex analysis) for computing them.
The residue: coefficient of
The single most important coefficient is — the coefficient of in the Laurent series. It’s called the residue of at :
Why this coefficient? Because for all , and . Integrating the Laurent series term by term, only the term contributes to a closed-contour integral around . So
This is the kernel of the Residue theorem.
In context
Laurent series are the working tool for the Residue theorem. Every closed-contour integral over a function with isolated singularities reduces to summing residues, and computing residues either uses direct Laurent expansion or specialized shortcuts that effectively read off without writing the full series.