Taylor & Laurent Series, Singularities

Laurent series extend Taylor series with negative powers, describing functions near singularities. Learn complex Taylor series and convergence discs, Laurent series in annuli, principal part, classification of singularities (removable, poles of order m, essential), and residues as the 1/(z − z₀) coefficient.

Poles of transfer functions determine system dynamics; their residues give the weights of each mode in the time response. Laurent series are the precise tool for understanding behaviour around such points.

An analogy

A Laurent series is a Taylor series with a 'magnifying glass' on a singularity: the negative powers capture how violently the function blows up there.

Taylor in ℂ

Analytic functions equal their Taylor series in the largest disc avoiding singularities — the radius equals the distance to the nearest singularity (explains why 1/(1 + x²) has R = 1 on the real line).

Laurent series

Valid in annuli between singularities. Different annuli give different series for the same function. Build them with geometric-series tricks rather than coefficient integrals.

Singularities

Removable: no negative powers (sin z/z at 0). Pole of order m: finitely many (1/z²). Essential: infinitely many (e^(1/z)) — wild behaviour (Picard's theorem).

Why residues matter

Integrating a Laurent series term by term around z₀ kills every term except a₋₁(z − z₀)⁻¹, giving 2πj a₋₁ — the residue theorem.

Formulas

Worked example: Laurent series in two annuli

Given: f = 1/(z(1 − z))

Find: Series for 0 < |z| < 1 and |z| > 1.

Answer: Residue at 0 is 1 (from the first series)

Worked example: Classify

Given: (1 − cos z)/z², e^(1/z), 1/(z − 2)³

Find: Singularity type.

Answer: Removable, essential, pole of order 3

Common mistakes

Applications

Key takeaways

Going further