∞ MemoLearning Real Analysis

Rigorous foundations of limits, continuity, and the real number system

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Curriculum Overview

10
Total Units
~140
Theorems to Master
6
Core Units
4
Advanced Units
1

The Real Number System

Build rigorous foundations with the construction and properties of real numbers.

  • Axiomatic construction of real numbers
  • Field axioms and ordered field properties
  • Completeness axiom and least upper bound
  • Archimedean property
  • Density of rationals and irrationals
  • Supremum and infimum
  • Nested interval theorem
  • Cardinality of real numbers
2

Sequences and Convergence

Master the fundamental concept of convergence for sequences of real numbers.

  • Definition of sequences and convergence
  • Limit theorems for sequences
  • Bounded and monotonic sequences
  • Monotone convergence theorem
  • Subsequences and Bolzano-Weierstrass theorem
  • Cauchy sequences and completeness
  • Limsup and liminf
  • Series and convergence tests
3

Limits and Continuity

Develop rigorous understanding of limits and continuous functions.

  • Epsilon-delta definition of limits
  • One-sided limits and infinite limits
  • Limit theorems for functions
  • Definition of continuity
  • Types of discontinuities
  • Intermediate value theorem
  • Extreme value theorem
  • Uniform continuity
4

Differentiation

Study derivatives with complete rigor and their fundamental properties.

  • Definition of derivative
  • Differentiability and continuity
  • Mean value theorem
  • Rolle's theorem
  • L'Hôpital's rule
  • Taylor's theorem with remainder
  • Inverse function theorem
  • Implicit function theorem
5

Integration Theory

Master the Riemann integral and fundamental theorem of calculus.

  • Riemann sums and definition of integral
  • Riemann integrability conditions
  • Properties of Riemann integrals
  • Fundamental theorem of calculus
  • Integration by parts and substitution
  • Improper integrals
  • Comparison with Lebesgue integration
  • Applications to area and volume
6

Sequences and Series of Functions

Study convergence of function sequences and power series expansions.

  • Pointwise and uniform convergence
  • Uniform convergence and continuity
  • Uniform convergence and integration
  • Uniform convergence and differentiation
  • Power series and radius of convergence
  • Taylor and Maclaurin series
  • Weierstrass approximation theorem
  • Equicontinuity and Arzelà-Ascoli theorem
7

Metric Spaces

Generalize analysis concepts to abstract metric spaces.

  • Definition and examples of metric spaces
  • Open and closed sets
  • Convergence in metric spaces
  • Continuity in metric spaces
  • Compactness and Heine-Borel theorem
  • Connectedness
  • Complete metric spaces
  • Contraction mapping theorem
8

Topology of Real Numbers

Explore topological properties of the real line and Euclidean spaces.

  • Open and closed sets in ℝ
  • Interior, closure, and boundary
  • Compact sets and finite subcover property
  • Connected sets and intervals
  • Cantor set and fractal properties
  • Baire category theorem
  • Nowhere dense and dense sets
  • Perfect sets and uncountability
9

Multivariable Analysis

Extend analysis to functions of several variables with rigorous treatment.

  • Limits and continuity in ℝⁿ
  • Partial derivatives and differentiability
  • Chain rule in several variables
  • Implicit and inverse function theorems
  • Multiple integrals and Fubini's theorem
  • Change of variables formula
  • Vector fields and line integrals
  • Green's theorem and applications
10

Advanced Topics

Explore advanced concepts connecting to modern analysis and applications.

  • Lebesgue measure and integration
  • Dominated convergence theorem
  • Fourier series and convergence
  • Stone-Weierstrass theorem
  • Functional analysis foundations
  • Differential equations and existence theorems
  • Calculus of variations
  • Applications to optimization

Unit 1: The Real Number System

Establish the rigorous foundations of real analysis through the construction and properties of real numbers.

Axiomatic Construction

Understand the axiomatic approach to defining real numbers. Learn how reals can be constructed from rationals using Dedekind cuts or Cauchy sequences of rationals.

Field Axioms

Master the field axioms for addition and multiplication: associativity, commutativity, distributivity, and existence of identities and inverses.

Ordered Field Properties

Study the order axioms that make ℝ an ordered field. Understand trichotomy, transitivity, and compatibility of order with field operations.

Completeness Axiom

Learn the least upper bound property that distinguishes ℝ from ℚ. Understand how completeness enables the fundamental theorems of analysis.

Archimedean Property

Prove and apply the Archimedean property: for any real numbers x and y with y > 0, there exists a positive integer n such that ny > x.

Density Properties

Understand that both rationals and irrationals are dense in ℝ. Learn to prove density using the Archimedean property and rational approximations.

Supremum and Infimum

Master the concepts of least upper bound (supremum) and greatest lower bound (infimum). Learn to find and prove suprema and infima for various sets.

Nested Interval Theorem

Prove the nested interval theorem and understand its connection to completeness. Use it to prove the Bolzano-Weierstrass theorem for bounded sequences.

Unit 2: Sequences and Convergence

Develop the fundamental theory of convergent sequences and their properties.

Definition of Convergence

Master the epsilon-N definition of sequence convergence. Learn to prove convergence and divergence using the formal definition with quantifiers.

Limit Theorems

Prove and apply limit theorems: limits of sums, products, quotients. Understand the algebra of limits and squeeze theorem for sequences.

Bounded Sequences

Study bounded sequences and their properties. Prove that convergent sequences are bounded and learn counterexamples for the converse.

Monotone Convergence

Master the monotone convergence theorem: every bounded monotonic sequence converges. Apply this powerful tool to prove convergence without finding limits.

Subsequences

Understand subsequences and their convergence properties. Learn that convergent sequences have all subsequences converging to the same limit.

Bolzano-Weierstrass Theorem

Prove that every bounded sequence has a convergent subsequence. Understand this as a fundamental compactness property of bounded sets in ℝ.

Cauchy Sequences

Study Cauchy sequences and prove they are equivalent to convergent sequences in ℝ. Understand how this characterization reveals completeness.

Limsup and Liminf

Master limit superior and limit inferior for bounded sequences. Learn their relationship to convergence and applications to series convergence tests.

Unit 3: Limits and Continuity

Develop rigorous understanding of function limits and continuous functions.

Epsilon-Delta Definition

Master the epsilon-delta definition of function limits. Learn to construct proofs of limits and understand the logical structure of the definition.

One-Sided and Infinite Limits

Extend limit concepts to one-sided limits and limits involving infinity. Understand their relationship to standard limits and applications.

Limit Theorems for Functions

Prove limit theorems for sums, products, quotients, and compositions. Learn the sequential characterization of function limits.

Definition of Continuity

Understand continuity at a point and on intervals. Learn equivalent characterizations: epsilon-delta, sequential, and via limits.

Types of Discontinuities

Classify discontinuities as removable, jump, or essential. Understand the structure of discontinuity sets for monotonic functions.

Intermediate Value Theorem

Prove the Intermediate Value Theorem and understand its topological significance. Apply it to root-finding and proving existence of solutions.

Extreme Value Theorem

Prove that continuous functions on closed bounded intervals attain their maximum and minimum. Understand the role of compactness.

Uniform Continuity

Distinguish uniform continuity from pointwise continuity. Prove that continuous functions on compact sets are uniformly continuous.

Unit 4: Differentiation

Study derivatives with complete rigor and prove the fundamental theorems of differential calculus.

Definition of Derivative

Master the limit definition of derivative. Understand differentiability as a local linear approximation property and geometric interpretation.

Differentiability and Continuity

Prove that differentiable functions are continuous. Understand examples of continuous but non-differentiable functions like |x|.

Rolle's Theorem

Prove Rolle's theorem and understand its geometric meaning. Learn its role as a stepping stone to the Mean Value Theorem.

Mean Value Theorem

Prove the Mean Value Theorem and understand its fundamental importance. Apply it to prove monotonicity criteria and other results.

L'Hôpital's Rule

Prove L'Hôpital's rule for indeterminate forms. Understand the conditions for its application and common pitfalls in usage.

Taylor's Theorem

Prove Taylor's theorem with various forms of remainder. Understand the role of higher-order derivatives in approximation theory.

Inverse Function Theorem

Prove the inverse function theorem for real functions. Understand the conditions for existence and differentiability of inverse functions.

Applications to Optimization

Apply differentiation to optimization problems. Understand first and second derivative tests and their limitations.

Unit 5: Integration Theory

Master the Riemann integral and prove the fundamental theorem of calculus.

Riemann Sums