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Classification of Isolated Singularities

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Laurent Series→→Residues: Definition and Computation
singularities poles essential-singularities

Core Idea

An isolated singularity of f at z₀ is classified by its Laurent expansion: a removable singularity has no negative powers (f extends analytically); a pole of order m has principal part with m terms (f ~ a₋ₘ/(z - z₀)m near z₀); an essential singularity has infinitely many negative powers (f is wildly oscillating near z₀).

Explainer

From your study of Laurent series, you know that a complex function near an isolated singularity z₀ can be expanded in both positive and negative powers of (z − z₀): f(z) = ... + a₋₂/(z − z₀)² + a₋₁/(z − z₀) + a₀ + a₁(z − z₀) + ... The negative-power part (called the principal part) is what determines the type of singularity. There are exactly three cases, and they describe increasingly wild behavior.

Removable singularities have no principal part — all coefficients aₙ with n < 0 are zero. The Laurent expansion is just a regular power series a₀ + a₁(z − z₀) + ..., so by defining (or redefining) f(z₀) = a₀, the function extends analytically through z₀. The singularity was only apparent — a hole that can be plugged. The canonical example is sin(z)/z at z = 0: expanding sin(z)/z = 1 − z²/6 + z⁴/120 − ..., there are no negative powers, so the singularity is removable by setting f(0) = 1. The function approaches a finite, well-defined limit as z → z₀.

Poles have a finite principal part: a₋ₘ/(z − z₀)m + ... + a₋₁/(z − z₀) with a₋ₘ ≠ 0. Near a pole of order m, the function blows up like |f(z)| ~ |a₋ₘ|/|z − z₀|^m → ∞ as z → z₀. A first-order pole (m = 1) is a simple pole — the most common type, and the most important for the Residue Theorem. The coefficient a₋₁ of the simple pole term is the residue, which drives complex contour integrals. You can detect a pole of order m by checking that (z − z₀)m · f(z) has a nonzero, finite limit as z → z₀.

Essential singularities have infinitely many negative powers — the principal part is an infinite series. The behavior near an essential singularity is famously chaotic. The Casorati-Weierstrass theorem says f comes arbitrarily close to every complex value in any neighborhood of the singularity; the stronger Picard Great Theorem says f actually takes every complex value, with at most one exception, infinitely often. The canonical example is e1/z near z = 0: e1/z = 1 + 1/z + 1/(2z²) + ... — infinitely many negative powers. As z → 0 along different paths, e1/z spirals, explodes, and vanishes in completely different ways. Classifying which type of singularity you have is the essential first step in computing residues and applying the Residue Theorem.

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Radian Measure → Converting Between Degrees and Radians → The Unit Circle → Graphing Sine and Cosine → Graphing Tangent and Reciprocal Trigonometric Functions → Derivatives of Trigonometric Functions → Antiderivatives → Indefinite Integrals → Basic Integration Rules → Riemann Sums → Definite Integral Definition → Double Integrals: Definition and Setup → Iterated Integrals and Fubini's Theorem → Double Integrals over Rectangular Regions → Double Integrals over General Regions → Applications of Double Integrals: Area, Mass, and Moments → Triple Integrals in Cartesian Coordinates → Triple Integrals in Cylindrical and Spherical Coordinates → Change of Variables and the Jacobian Determinant → Applications of Triple Integrals: Volume and Mass → Vector Fields and Their Representations → Line Integrals of Vector Fields → Work and Circulation → Green's Theorem → Cauchy's Theorem → Cauchy's Integral Formula → Cauchy's Integral Formula for Derivatives → Taylor Series for Complex Functions → Power Series in the Complex Plane → Laurent Series → Classification of Isolated Singularities

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