# Real Analysis Notes for BS/MSc

Real Analysis Notes for BS/MSc

Real analysis is a branch of mathematical analysis that focuses on the study of real numbers and real-valued functions. It is a fundamental area of mathematics that provides a rigorous foundation for calculus and other branches of mathematics. It deals with the properties and behavior of real numbers, sequences, series, limits, continuity, differentiability, and integrability.

### Real Analysis Notes for BS/MSc:

Real Analysis is a fundamental branch of mathematics that rigorously studies the properties of real numbers and the limits, continuity, differentiation, and integration of real-valued functions. This field serves as a cornerstone for various areas in mathematics and is crucial for understanding the theoretical underpinnings of calculus. Below is an overview of key topics covered in Real Analysis courses at the undergraduate (BS) and graduate (MSc) levels:

#### 1. Set Theory and Foundations:

• Set Notation and Operations: Introduction to basic set concepts.
• Real Numbers and Completeness: Construction of real numbers and properties of completeness.

#### 2. Sequences and Series:

• Convergence and Divergence: Definition of convergence and divergence of sequences.
• Series: Convergence tests and properties of series.

#### 3. Limits and Continuity:

• Limits of Functions: Formal definition of limits and limit theorems.
• Continuity: Definition and properties of continuous functions.

#### 4. Differentiation:

• Derivatives: Definition of derivatives and rules for differentiation.
• Mean Value Theorems: Rolle’s theorem and the mean value theorem.

#### 5. Integration:

• Riemann Integration: Introduction to Riemann sums and Riemann integration.
• Fundamental Theorems of Calculus: Fundamental Theorem of Calculus and its applications.

#### 6. Sequences and Series of Functions:

• Pointwise and Uniform Convergence: Distinction between pointwise and uniform convergence.
• Weierstrass Approximation Theorem: Approximation of continuous functions by polynomials.

#### 7. Metric Spaces:

• Open and Closed Sets: Definition and properties of open and closed sets.
• Completeness and Compactness: Bolzano-Weierstrass theorem, Heine-Borel theorem.

#### 8. Function Spaces:

• Spaces of Continuous Functions: Introduction to function spaces, like C([a, b]).
• Normed Spaces and Banach Spaces: Definition and properties.

#### 9. Lebesgue Integration:

• Lebesgue Measure: Introduction to Lebesgue measure and measurable sets.
• Lebesgue Integration: Construction of the Lebesgue integral and its properties.

#### 10. Differentiation and Integration of Functions of Several Variables:

• Partial Derivatives: Definition and computation of partial derivatives.
• Multiple Integrals: Introduction to multiple integrals and Fubini’s theorem.

#### 11. Fourier Analysis:

• Fourier Series: Representation of periodic functions using Fourier series.
• Fourier Transform: Introduction to the Fourier transform.