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Eigenfunction Expansions and Sturm-Liouville Theory

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Fourier Series: Definition and CoefficientsSeparation of Variables for Partial Differential Equations+1 more→→Spectral Theory for Elliptic Operators
pde sturm-liouville eigenfunction spectral orthogonal-expansion

Core Idea

Sturm-Liouville theory generalizes Fourier series by showing that a wide class of second-order boundary value problems -(p(x)y')' + q(x)y = λw(x)y produce an orthogonal basis of eigenfunctions for an appropriate function space. Any sufficiently well-behaved function can be expanded in this eigenbasis, just as functions can be expanded in sines and cosines. This framework unifies the separation of variables technique: when a PDE is separated, the spatial part typically yields a Sturm-Liouville problem whose eigenfunctions provide the building blocks for the solution.

Explainer

Sturm-Liouville theory provides the spectral framework that underlies the separation of variables method for PDEs. When we separate variables in the heat equation on a finite interval, the spatial part satisfies X'' + λX = 0 with boundary conditions—the simplest Sturm-Liouville problem. Its eigenfunctions sin(nπx/L) form an orthogonal basis, and the solution is a Fourier sine series with time-dependent coefficients that decay exponentially. Sturm-Liouville theory shows this is not a coincidence but a general phenomenon.

A regular Sturm-Liouville problem has the form -(p(x)y')' + q(x)y = λw(x)y on [a,b] with separated boundary conditions, where p > 0, w > 0, and all coefficients are continuous. The operator L[y] = -(py')' + qy is self-adjoint with respect to the weighted inner product ⟨f,g⟩ = ∫f(x)g(x)w(x)dx. Self-adjointness guarantees that all eigenvalues are real, eigenfunctions for distinct eigenvalues are orthogonal, and the eigenvalues form an unbounded increasing sequence. The eigenfunctions form a complete orthonormal basis for L²([a,b], w).

The completeness of the eigenfunctions means that any square-integrable function f can be expanded as f(x) = Σ c_n φ_n(x), where the coefficients are c_n = ⟨f, φ_n⟩/⟨φ_n, φ_n⟩. This expansion converges in the L² sense, and under additional smoothness assumptions on f, it converges uniformly. This is the generalized Fourier series, and it reduces to ordinary Fourier series when p = w = 1 and q = 0. Different choices of p, q, and w yield expansions in Legendre polynomials (spherical geometry), Bessel functions (cylindrical geometry), and other classical families.

Singular Sturm-Liouville problems arise when p vanishes at an endpoint, the interval is infinite, or the coefficients are unbounded. These require more delicate analysis but remain tractable. The Bessel equation and Legendre equation are singular Sturm-Liouville problems, and their eigenfunction expansions (Fourier-Bessel series and Legendre series) are essential for solving PDEs in cylindrical and spherical coordinates. The general spectral theorem for unbounded self-adjoint operators in Hilbert spaces provides the rigorous foundation for these expansions, connecting Sturm-Liouville theory to functional analysis.

Practice Questions 4 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 → Fundamental Theorem of Calculus Part 1 → Fundamental Theorem of Calculus Part 2 → U-Substitution → Separable Equations (Intro) → Separable Differential Equations → Integrating Factor Method for First-Order Linear ODEs → First-Order Linear Ordinary Differential Equations → Second-Order Linear Homogeneous Differential Equations → Characteristic Equation Method for Linear ODEs → Repeated Roots and Reduction of Order → Wronskian and Linear Independence → Method of Undetermined Coefficients → Higher-Order Linear Differential Equations → Systems of First-Order Linear Differential Equations → Separation of Variables for Partial Differential Equations → Eigenfunction Expansions and Sturm-Liouville Theory

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