Lecture

Mod-01 Lec-03 Topology of the Complex Plane Part-I

This module explores the topology of the complex plane, focusing on its properties and structure. Students will learn about open and closed sets, limit points, and the concept of continuity in the context of the complex plane. The module emphasizes the importance of these topological concepts in understanding complex functions and their behavior. Through detailed explanations and visual aids, students will develop a strong grasp of the intricate structure of the complex plane, laying the groundwork for further study in complex analysis.


Course Lectures
  • Mod-01 Introduction
    Prof. P. A. S. Sree Krishna

    This module provides an introductory overview of the field of complex analysis. The course begins by outlining the significance of complex analysis in mathematics and its applications across various scientific domains. Students will learn about the basic structure of the complex plane and its mathematical representation. Before diving deeper into the subject, this module sets the foundation by introducing key terminologies and concepts that are crucial for understanding advanced topics. By the end of this module, students will have a clear understanding of what complex analysis encompasses, preparing them for more challenging concepts in subsequent modules.

  • Mod-01 Lec-01 Introduction to Complex Numbers
    Prof. P. A. S. Sree Krishna

    This module delves into the world of complex numbers, a fundamental aspect of complex analysis. It begins by explaining the historical development and mathematical significance of complex numbers. Students will explore the algebraic properties of complex numbers, including addition, subtraction, multiplication, and division. The module also covers the geometric interpretation of complex numbers on the complex plane, providing insight into their real-world applications. By the end of this module, students will be equipped with the foundational knowledge needed to further explore complex functions and their properties.

  • This module introduces de Moivre's Formula, a powerful tool for computing powers and roots of complex numbers. Students will learn how this formula is derived and its applications in simplifying complex expressions. The module also covers stereographic projection, a method to map the complex plane onto the sphere. This technique is essential for visualizing complex functions and their transformations. Through examples and exercises, students will gain practical experience in using these mathematical tools, enhancing their understanding of the complex plane's topology.

  • This module explores the topology of the complex plane, focusing on its properties and structure. Students will learn about open and closed sets, limit points, and the concept of continuity in the context of the complex plane. The module emphasizes the importance of these topological concepts in understanding complex functions and their behavior. Through detailed explanations and visual aids, students will develop a strong grasp of the intricate structure of the complex plane, laying the groundwork for further study in complex analysis.

  • Continuing the exploration of the complex plane's topology, this module delves into more advanced topics such as compactness and connectedness. Students will learn how these properties influence the behavior of complex functions. The module also introduces the concept of convergence in the complex plane, providing a deeper understanding of how complex sequences and series behave. By the end of this module, students will have a comprehensive view of the complex plane's topological characteristics, enabling them to tackle more sophisticated problems in complex analysis.

  • This module concludes the study of the complex plane's topology by examining critical concepts such as the boundary and interior of sets. Students will explore how these ideas relate to the behavior of complex functions and their limits. The module also covers the concept of accumulation points, providing a comprehensive understanding of the complex plane's topological structure. Through this module, students will solidify their knowledge of topology, preparing them for more complex topics such as analytic functions and complex integration.

  • In this module, students are introduced to complex functions, focusing on their fundamental properties and behaviors. The course begins with a discussion of function notation and the differences between real and complex functions. Students will learn about the concepts of domain, range, and codomain in the context of complex functions. The module also introduces the idea of mapping and transformation, emphasizing how complex functions can alter the complex plane. By the end of this module, students will have a solid understanding of the foundational aspects of complex functions.

  • Mod-02 Lec-02 Limits and Continuity
    Prof. P. A. S. Sree Krishna

    This module focuses on the critical concepts of limits and continuity in complex functions. Students will learn how to evaluate the limit of a complex function using epsilon-delta definitions and graphical interpretations. The course also covers the conditions for continuity in complex functions and how these can differ from real-valued functions. Through examples and problem-solving exercises, students will gain practical skills in applying these concepts to analyze complex functions and their behavior at various points.

  • Mod-02 Lec-03 Differentiation
    Prof. P. A. S. Sree Krishna

    This module covers the differentiation of complex functions, introducing the concept of the derivative in the complex plane. Students will learn how to compute derivatives of complex functions and explore the conditions under which a function is differentiable. The module also discusses the significance of differentiability in complex analysis and its implications for the behavior of complex functions. Through examples and exercises, students will develop the skills necessary to analyze and differentiate complex functions effectively.

  • This module introduces the Cauchy-Riemann equations, a fundamental criterion for determining the differentiability of complex functions. Students will learn how to derive and apply these equations to analyze the differentiability and analytic nature of complex functions. The course also covers the geometric interpretation of the Cauchy-Riemann equations, providing a visual understanding of their significance. By the end of this module, students will have a comprehensive understanding of how these equations underpin the concept of differentiability in complex analysis.

  • This module focuses on analytic functions, a central concept in complex analysis. Students will learn about the properties that define an analytic function, including differentiability and the existence of derivatives at every point in a domain. The module also introduces the exponential function as a fundamental example of an analytic function, exploring its properties and applications in complex analysis. Through problem-solving exercises and examples, students will gain a deep understanding of analytic functions and their significance in the field.

  • This module explores sine, cosine, and harmonic functions within the context of complex analysis. Students will learn how these trigonometric functions are extended to the complex plane and their relationships with exponential functions. The module also discusses the significance of harmonic functions in complex analysis, including their role in potential theory and boundary value problems. Through detailed explanations and examples, students will gain a comprehensive understanding of these functions and their applications in complex analysis.

  • This module introduces the concept of branches of multifunctions, focusing on how multiple-valued functions can be represented and analyzed. Students will learn about branch cuts and branch points, essential tools for defining branches of multifunctions. The module also covers hyperbolic functions, exploring their properties and relationships with exponential and trigonometric functions. Through examples and exercises, students will develop the skills necessary to work with multifunctions and understand their significance in complex analysis.

  • Mod-02 Lec-08 Problem Solving Session I
    Prof. P. A. S. Sree Krishna

    This module is dedicated to problem-solving, providing students with an opportunity to apply the concepts and techniques learned in previous modules. Students will work through a series of challenging problems related to complex numbers, functions, and transformations, reinforcing their understanding and analytical skills. The module emphasizes critical thinking and creativity in approaching complex analysis problems, preparing students for more advanced topics and real-world applications of complex analysis.

  • Mod-03 Lec-01 Integration and Contours
    Prof. P. A. S. Sree Krishna

    This module introduces the concept of integration in the complex plane, focusing on contour integration and its applications. Students will learn how to evaluate integrals along contours and the significance of contour integration in complex analysis. The module also covers the properties of contour integrals, including linearity and additivity. Through examples and exercises, students will gain practical experience in evaluating contour integrals and understanding their implications for complex functions and transformations.

  • Mod-03 Lec-02 Contour Integration
    Prof. P. A. S. Sree Krishna

    This module delves deeper into contour integration, exploring advanced techniques and applications. Students will learn about the Cauchy integral theorem and its implications for contour integrals. The module also covers the concept of homotopy and its role in evaluating integrals along different contours. Through problem-solving exercises and examples, students will develop the skills necessary to apply contour integration techniques to complex functions and solve challenging problems in complex analysis.

  • This module introduces Cauchy's theorem, a fundamental result in complex analysis that provides conditions for evaluating contour integrals. Students will learn how to apply Cauchy's theorem to different contours and understand its significance in simplifying complex integration problems. The module also explores the relationship between Cauchy's theorem and analytic functions, providing a deeper understanding of their properties and applications in complex analysis.

  • This module focuses on Cauchy's theorem for a rectangle, providing a detailed examination of this specific case. Students will learn how to apply Cauchy's theorem to rectangular contours and explore its implications for the properties of analytic functions. The module also covers the conditions under which Cauchy's theorem for a rectangle holds, providing a comprehensive understanding of this important result in complex analysis.

  • Mod-03 Lec-05 Cauchy's theorem Part - II
    Prof. P. A. S. Sree Krishna

    This module continues the exploration of Cauchy's theorem, focusing on its generalizations and applications. Students will learn how Cauchy's theorem can be extended to more complex contours and its implications for the behavior of analytic functions. The module also covers the concept of simply connected domains and their significance in applying Cauchy's theorem. Through examples and problem-solving exercises, students will gain a comprehensive understanding of Cauchy's theorem and its applications in complex analysis.

  • Mod-03 Lec-06 Cauchy's Theorem Part - III
    Prof. P. A. S. Sree Krishna

    This module delves into Cauchy's Theorem, exploring its significance in complex analysis. Students will learn about:

    • The fundamental concepts behind Cauchy's Theorem.
    • Different formulations and their implications.
    • Applications of the theorem in proving properties of analytic functions.

    Emphasis will be placed on understanding the conditions under which the theorem holds and its role in the broader context of complex integration.

  • This module introduces Cauchy's Integral Formula, a cornerstone of complex analysis. Key topics include:

    • The statement and proof of the formula.
    • Consequences of the formula in determining values of analytic functions.
    • Applications in evaluating integrals and understanding singularities.

    Students will engage in problem-solving sessions to apply this knowledge to real-world scenarios.

  • This module focuses on the derivatives of analytic functions, covering:

    • The concept of differentiability in the complex plane.
    • First and second derivatives and their significance.
    • Real-world applications of these derivatives.

    Students will analyze functions to understand their behavior through differentiation, enhancing their grasp of complex analysis.

  • In this module, Morera's Theorem is introduced, showcasing its utility in establishing the analyticity of functions. Key aspects include:

    • Understanding Morera's Theorem and its proof.
    • Applications for higher-order derivatives.
    • Connections to other theorems in complex analysis.

    This module emphasizes practical applications and problem-solving to ensure a solid understanding of the theorem.

  • Mod-03 Lec-10 Problem Solving Session II
    Prof. P. A. S. Sree Krishna

    This problem-solving session aims to reinforce the concepts learned in previous modules. Students will work on:

    • Real-world problems involving Cauchy’s Theorem and Integral Formula.
    • Exercises focused on derivatives and Morera's Theorem.
    • Collaborative group discussions to foster deeper understanding.

    Interactive problem-solving will be encouraged to enhance analytical skills.

  • This module introduces complex power series, their definitions, and convergence. It covers:

    • The structure of power series and their convergence criteria.
    • Analyticity of functions represented by power series.
    • Comparison with Taylor series and implications.

    Students will explore examples and applications of power series in complex analysis.

  • Mod-04 Lec-02 Analyticity of Power Series
    Prof. P. A. S. Sree Krishna

    This module examines the analyticity of power series, focusing on:

    • Conditions for analyticity of functions represented by power series.
    • Understanding the radius of convergence.
    • Implications for complex differentiation and integration.

    Students will gain insights into the relationship between power series and analytic functions.

  • Mod-04 Lec-03 Taylor's Theorem
    Prof. P. A. S. Sree Krishna

    This module covers Taylor's Theorem, an essential component of complex analysis. Key topics include:

    • The statement and proof of Taylor's Theorem.
    • Applications in approximating analytic functions.
    • Connections to power series and real analysis.

    Students will engage in practical applications to solidify their understanding of the theorem.

  • Mod-04 Lec-04 Zeroes of Analytic Functions
    Prof. P. A. S. Sree Krishna

    This module focuses on the zeros of analytic functions, addressing:

    • Conditions under which analytic functions have zeros.
    • Methods for finding and counting zeros.
    • Applications in complex dynamics and function theory.

    Students will explore the implications of zeros in the context of complex analysis.

  • This module emphasizes counting the zeros of analytic functions using various techniques, including:

    • Rouche's Theorem and its applications.
    • Open mapping theorem and relationship to zeros.
    • Practical problem-solving exercises to reinforce concepts.

    Students will engage in hands-on activities to effectively apply these techniques.

  • Mod-04 Lec-06 Open mapping theorem -- Part I
    Prof. P. A. S. Sree Krishna

    This module introduces the open mapping theorem, covering:

    • The statement and proof of the theorem.
    • Applications in complex analysis and function behavior.
    • Connections to other important theorems.

    Students will explore practical implications of the theorem through examples and exercises.

  • Mod-04 Lec-07 Open mapping theorem -- Part II
    Prof. P. A. S. Sree Krishna

    This module continues the exploration of the open mapping theorem with a deeper focus on:

    • Advanced applications and implications in complex analysis.
    • Real-world scenarios where the theorem is applicable.
    • Problem-solving strategies to reinforce understanding.

    Students will engage in discussions and exercises to solidify their grasp of the theorem's significance.

  • This module introduces the properties of Mobius transformations, covering:

    • The definition and geometric interpretation of Mobius transformations.
    • Key properties such as bijectiveness and continuity.
    • Applications in complex analysis and geometry.

    Students will analyze various transformations to understand their impact on the complex plane.

  • This module continues the exploration of Mobius transformations with a focus on:

    • Advanced properties and their implications.
    • Real-world applications in physics and engineering.
    • Problem-solving exercises to apply knowledge.

    Students will work collaboratively to tackle complex problems involving Mobius transformations.

  • Mod-05 Lec-03 Problem Solving Session III
    Prof. P. A. S. Sree Krishna

    This problem-solving session provides students with the opportunity to apply knowledge gained from previous modules. Focus areas include:

    • Real-world problems involving Mobius transformations.
    • Exercises related to analytic functions and their properties.
    • Group discussions to foster a deeper understanding of concepts.

    Collaborative learning will be encouraged to enhance analytical skills.

  • Mod-06 Lec-01 Removable Singularities
    Prof. P. A. S. Sree Krishna

    This module introduces removable singularities, discussing:

    • The definition and identification of removable singularities.
    • Examples of functions with removable singularities.
    • Implications for analytic continuation.

    Students will explore how understanding removable singularities enhances their grasp of complex functions.

  • This module focuses on poles and the classification of isolated singularities, covering:

    • Definition and identification of poles.
    • Classification of singularities and their significance.
    • Real-world applications and examples.

    Students will analyze functions to understand the nature of poles and their implications in complex analysis.

  • This module introduces essential singularities and the introduction to Laurent series, focusing on:

    • The definition and properties of essential singularities.
    • Understanding Laurent series and their applications.
    • Examples illustrating the concepts.

    Students will explore the role of essential singularities in complex analysis and their relevance to Laurent series.

  • Mod-06 Lec-04 Laurent's Theorem
    Prof. P. A. S. Sree Krishna

    This module emphasizes Laurent's Theorem, covering:

    • The statement and proof of Laurent's Theorem.
    • Applications in complex analysis.
    • Connections to residue calculus and singularities.

    Students will engage in practical exercises to solidify their understanding of the theorem and its implications.

  • This module delves into the Residue Theorem, a fundamental tool in complex analysis that allows for the evaluation of complex integrals. Students will explore:

    • The definition and significance of residues.
    • Methods to calculate residues for various types of singularities.
    • Applications of the Residue Theorem in evaluating real integrals.
    • Examples of complex functions where residues play a crucial role.

    By the end of this module, students will have a solid understanding of how to apply the Residue Theorem to solve complex integration problems, enhancing their analytical skills.

  • Mod-06 Lec-06 Problem Solving Session IV
    Prof. P. A. S. Sree Krishna

    This problem-solving session provides students with the opportunity to apply the concepts learned in previous modules related to complex analysis. The session will include:

    • Guided problem-solving exercises focused on complex functions and integration techniques.
    • Discussion of challenging problems to enhance understanding and application of analytic functions.
    • Collaboration with peers to foster a deeper grasp of the subject matter.
    • In-depth explanations of solutions to reinforce learning outcomes.

    This interactive environment encourages active participation, ensuring that students can confidently tackle complex analysis problems and solidify their knowledge.