Core analysis · Graduate course · Staged public deployment

Functional Analysis

Linear algebra and analysis, reunited in infinite dimensions.

Functional analysis studies vector spaces of functions and the linear operators between them, where completeness replaces finite dimension as the load-bearing hypothesis. Building on the topology and measure courses, it develops normed and Banach spaces, the four cornerstone theorems (Hahn-Banach, open mapping, closed graph, uniform boundedness), duality and weak topologies, the geometry of Hilbert space, compact operators and the Fredholm alternative, and closes with the spectral theorem - the infinite-dimensional analogue of diagonalisation and the language of quantum mechanics and partial differential equations.

10Chapters
GraduateLevel
EN · FRBilingual
Chapter 1 is free now. All 10 chapters are built. Chapters 2 through 10 will be released progressively as public deployment continues.

What the course builds

Three capabilities the course builds

Build the machinery

Master the four cornerstone theorems - Hahn-Banach, open mapping, closed graph, and uniform boundedness - that turn completeness into working tools.

Think in infinite dimensions

See where finite-dimensional intuition survives and where it breaks: weak topologies, non-compact unit balls, and duals that are strictly larger.

Reach the spectral theorem

Carry Hilbert-space geometry through compact operators and the Fredholm alternative to eigenfunction expansions and the spectral theorem.

Before you start

Prerequisites

Functional analysis rests on the two foundational courses. Topology supplies open sets, continuity, and compactness in the abstract; measure theory supplies the L^p spaces and the integration that makes the function spaces complete. Linear algebra over the reals and complexes is assumed.

The syllabus

Ten chapters, built in sequence

All 10 chapters are built. Chapter 1 is released free now. Chapters 2 through 10 remain visible here as the course roadmap and will be released progressively. Each chapter includes visual investigations, complete definitions and proofs, graded exercises, progressive hints, and detailed corrections.

Chapter 01
Normed and Banach Spaces

Norms and the geometry they impose, the sequence and function spaces l^p, c_0 and C[a,b], equivalence of norms in finite dimensions, and completeness as the working hypothesis of analysis.

NormsCompletenessl^p spaces
Free · Open chapter
Chapter 02
Bounded Linear Operators

Continuity equals boundedness, the operator norm, the space B(X,Y) as a Banach space, invertibility, and the Neumann series for the resolvent.

Operator normInvertibility
Built · Not yet released
Chapter 03
The Hahn-Banach Theorem

Extension of linear functionals dominated by a sublinear functional, the geometric separation of convex sets, and the resulting richness of the dual space.

ExtensionDualityConvexity
Built · Not yet released
Chapter 04
Baire Category and the Three Theorems

The Baire category theorem and the two structural pillars it powers: the open mapping theorem and the closed graph theorem for maps between Banach spaces.

Baire categoryOpen mapping
Built · Not yet released
Chapter 05
The Uniform Boundedness Principle

Banach-Steinhaus, the passage from pointwise to uniform bounds, and its consequences for the convergence of families of operators.

Banach-SteinhausConvergence
Built · Not yet released
Chapter 06
Dual Spaces and Weak Topologies

The duals of l^p and L^p, weak and weak-star convergence, reflexivity, and the Banach-Alaoglu theorem on compactness of the dual ball.

Weak topologyAlaoglu
Built · Not yet released
Chapter 07
Hilbert Spaces

Inner products and orthogonality, projection onto closed convex sets, orthonormal bases, Bessel and Parseval, and the completeness that makes geometry work.

OrthogonalityParseval
Built · Not yet released
Chapter 08
The Riesz Representation Theorem

The self-duality of Hilbert space through Riesz-Frechet, the construction of the adjoint operator, and self-adjoint, unitary, and normal operators.

Riesz-FrechetAdjoints
Built · Not yet released
Chapter 09
Compact Operators

Compact operators and approximation by finite-rank operators, the Fredholm alternative, and integral operators as the motivating example.

CompactnessFredholm
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Chapter 10
The Spectral Theorem

Spectrum and resolvent, the spectral theorem for compact self-adjoint operators, eigenfunction expansions, and the bridge to the theory of self-adjoint operators.

SpectrumEigenbasis
Built · Not yet released