The residue of a function at an isolated singularity is the coefficient of in the Laurent series of at :
The residue is the only Laurent coefficient that contributes to a closed-contour integral around — the rest integrate to zero. The Residue theorem makes this precise:
over singularities inside the positively oriented closed contour .
Computing residues
The formula depends on the type of singularity.
Removable singularity
. Removable singularities contribute nothing to contour integrals.
Simple pole (order 1)
If with analytic at and : .
If with , , and — i.e., a simple zero of at that isn’t cancelled by : the formula:
Proof: near , , so . Residue is .
Pole of order
The factor “clears” the pole, then differentiating times and dividing by extracts the coefficient.
For : .
For : reduces to the simple-pole formula.
Essential singularity
Expand the Laurent series explicitly and read off . No formula.
Worked computations
Simple pole, direct. at . .
Simple pole via . at . , , . . Multiply numerator and denominator by : . So .
Pole of order 2. at . By formula with :
Verify with Laurent: . Coefficient of : . ✓
Pole of order 3 via Laurent expansion. at . Laurent: , so . Coefficient of : . So .
(Using the formula with would require taking two derivatives of ; the Laurent approach is faster.)
Essential singularity. at . Laurent: . Coefficient of : . So .
In context
Residue computation is the heart of practical contour-integral calculation. The Residue theorem reduces any closed-contour integral with isolated singularities to a finite sum of residues — and residues themselves are computed by short formulas or direct Laurent expansion.
This collapses calculations that would be intractable by real methods. Real improper integrals like become trivial via contour integration plus residues.
The full toolkit lives in the closed-contour decision tree: identify singularities inside , classify each, compute residue by the right formula, sum, multiply by . See Residue theorem for the master template.