Analysis

Limits, continuity, differentiation, integration, and infinite-dimensional generalizations.


foundation tier

Analysis. Limits, continuity, differentiation, integration, and infinite-dimensional generalizations. The literature on analysis divides naturally along several axes: the foundational structures that organise the subject, the techniques that drive proofs and computations, the questions about classification or representation that animate current research, and the bridges to neighbouring areas of mathematics and science. The references below trace those axes through the canonical textbook treatments and recent technical contributions.

Foundations and canonical references

The standard treatments of analysis approach the subject from complementary angles. Rudin, Principles of Mathematical Analysis (1976) is the anchor reference for the subject and lays out the core definitions, theorems, and worked examples that practitioners return to. Rudin, Real and Complex Analysis (1987) gives a parallel, more proof-oriented exposition of the same material and is widely used as a graduate text. Folland, Real Analysis: Modern Techniques and Their Applications (1999) offers an alternative presentation that complements the primary references and is useful for triangulating definitions and proof techniques.

Open methodological questions for analysis include sharpening the bridges between foundational theory and computational practice, extending classical results to broader or more structured settings, and integrating the techniques surveyed above with adjacent mathematical disciplines. The references listed in this page are the entry points that current work builds on.

Prerequisites

Sources

  • textbook · primary · 1976
    Principles of Mathematical Analysis
    rudin-1976
  • textbook · primary · 1987
    Real and Complex Analysis
    rudin-1987
  • textbook · supporting · 1999
    Real Analysis: Modern Techniques and Their Applications
    folland-1999

In context

Where this topic sits in the prerequisite graph. Click any node to jump.

Open in full atlas →

Explore

  1. 01

    Real Analysis

    Sequences, series, continuity, differentiation, and Riemann integration on the real line.

  2. 02

    Complex Analysis

    Holomorphic functions, Cauchy integral theory, conformal mapping, and Riemann surfaces.

  3. 03

    Measure Theory

    Sigma-algebras, measures, integration, and the Radon–Nikodym theorem.

  4. 04

    Functional Analysis

    Banach and Hilbert spaces, bounded operators, and spectral theory.

  5. 05

    Harmonic Analysis

    Fourier analysis on groups, Calderon–Zygmund theory, and oscillatory integrals.

  6. 06

    Ordinary Differential Equations

    Existence, uniqueness, stability, and qualitative theory of ODEs.

  7. 07

    Partial Differential Equations

    Classical and modern theory of PDEs, function spaces, and well-posedness.

  8. 08

    Wavelets and Multiscale Analysis

    Bases and transforms that decompose functions across scales, combining frequency localisation with spatial locality to analyse, compress, and solve problems on non-stationary signals and PDEs.

  9. 09

    Dynamical Systems

    Long-term behavior of evolving systems: stability, attractors, and chaos.


Review this topic

This page was drafted by an agent and is waiting on expert review. Spotted a wrong prerequisite, a missing concept, a misattributed source, or a factual slip? Tell us — your review opens a tracked issue maintainers act on.