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Residues: Definition and Computation

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Classification of Isolated SingularitiesLaurent SeriesThe Residue Theorem
residues laurent-coefficient computation

Core Idea

The residue of f at an isolated singularity z₀ is Res(f, z₀) = a₋₁, the coefficient of 1/(z - z₀) in the Laurent expansion. For a simple pole, Res(f, z₀) = lim_(z→z₀) (z - z₀)f(z). For a pole of order m, use Res(f, z₀) = (1/(m-1)!) dm-1/dzm-1 [(z - z₀)m f(z)] at z₀. Residues measure the strength of circulation around singularities.

How It's Best Learned

Compute residues for f(z) = 1/(z(z-1)) at both z = 0 and z = 1 using the formulas. Verify by finding the Laurent series and extracting a₋₁.

Common Misconceptions

Thinking residues are complicated to compute; there are simple formulas for simple and multiple poles. Assuming the residue formula applies to essential singularities; it doesn't — you must find the Laurent series.

Explainer

From your study of singularities and Laurent series, you know that near an isolated singularity z₀, a function can be expanded as a Laurent series: f(z) = … + a₋₂/(z−z₀)² + a₋₁/(z−z₀) + a₀ + a₁(z−z₀) + … The residue of f at z₀ is defined as a₋₁, the coefficient of the 1/(z−z₀) term. At first this looks like just one number among many in the expansion — why does it deserve special attention?

The answer lies in integration. When you integrate a Laurent series term by term around a small circle enclosing z₀, almost every term integrates to zero: ∮ (z−z₀)ⁿ dz = 0 for n ≠ −1, because (z−z₀)ⁿ has an antiderivative. But the n = −1 term is different: ∮ 1/(z−z₀) dz = 2πi (this is the fundamental residue computation you verified when studying Laurent series). So ∮_γ f(z) dz = 2πi · a₋₁ = 2πi · Res(f, z₀). The residue is exactly the piece of the Laurent expansion that survives integration. Everything else cancels.

For computation, you rarely need to find the full Laurent series. If z₀ is a simple pole (order 1), the formula Res(f, z₀) = lim_{z→z₀} (z−z₀)f(z) extracts just a₋₁ by canceling the pole. For f(z) = 1/(z(z−1)), at z = 0: lim_{z→0} z · (1/(z(z−1))) = lim_{z→0} 1/(z−1) = −1. At z = 1: lim_{z→1} (z−1) · (1/(z(z−1))) = lim_{z→1} 1/z = 1. For a pole of order m, the formula involves differentiating m−1 times after multiplying by (z−z₀)m to clear the pole, then evaluating at z₀ and dividing by (m−1)!. This is the repeated differentiation you know from power series manipulation.

For essential singularities — where infinitely many negative-power terms appear — none of these shortcuts apply. The Laurent series is truly infinite in the negative direction and cannot be cleared by multiplying by a finite power. You must find enough terms of the Laurent expansion to identify a₋₁ directly. The residue is still well-defined (it is still a₋₁), but the computation is harder. The key skill is recognizing which type of singularity you have before choosing your computational strategy.

Practice Questions 5 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesAngle Pairs: Complementary, Supplementary, and VerticalParallel Lines and TransversalsCorresponding AnglesAlternate Interior AnglesTriangle Angle Sum TheoremExterior Angle TheoremTriangle Inequality TheoremSimilar Triangles: AA SimilaritySimilar Triangles: SSS and SAS SimilarityProportions in Similar TrianglesRight Triangle Trigonometry IntroductionSine, Cosine, and Tangent RatiosTrigonometric Ratios ReviewRadian MeasureConverting Between Degrees and RadiansThe Unit CircleGraphing Sine and CosineGraphing Tangent and Reciprocal Trigonometric FunctionsDerivatives of Trigonometric FunctionsAntiderivativesIndefinite IntegralsBasic Integration RulesRiemann SumsDefinite Integral DefinitionDouble Integrals: Definition and SetupIterated Integrals and Fubini's TheoremDouble Integrals over Rectangular RegionsDouble Integrals over General RegionsApplications of Double Integrals: Area, Mass, and MomentsTriple Integrals in Cartesian CoordinatesTriple Integrals in Cylindrical and Spherical CoordinatesChange of Variables and the Jacobian DeterminantApplications of Triple Integrals: Volume and MassVector Fields and Their RepresentationsLine Integrals of Vector FieldsWork and CirculationGreen's TheoremCauchy's TheoremCauchy's Integral FormulaCauchy's Integral Formula for DerivativesTaylor Series for Complex FunctionsPower Series in the Complex PlaneLaurent SeriesClassification of Isolated SingularitiesResidues: Definition and Computation

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