Real Analysis

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


foundation tier

Real Analysis. Sequences, series, continuity, differentiation, and Riemann integration on the real line. The literature on real 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 real 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. Royden, Real Analysis (2010) gives a parallel, more proof-oriented exposition of the same material and is widely used as a graduate text. Pugh, Real Mathematical Analysis (2015) offers an alternative presentation that complements the primary references and is useful for triangulating definitions and proof techniques.

Open methodological questions for real 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 · 2010
    Real Analysis
    royden-2010, fitzpatrick-2010
  • textbook · supporting · 2015
    Real Mathematical Analysis
    pugh-2015

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  1. 01

    Metric Spaces

    Topology of metric spaces, completeness, compactness, and Baire category.

  2. 02

    Sequences and Series of Functions

    Uniform convergence, power series, and term-by-term operations.

  3. 03

    Lebesgue Integration

    Measure-theoretic integration, convergence theorems, and L^p spaces.

  4. 04

    Multivariable Calculus

    Differentiation in R^n, inverse and implicit function theorems, and integration.


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