Lecture

Mod-02 Lec-06 Sine, Cosine and Harmonic functions

This module covers sine, cosine, and harmonic functions within the framework of complex analysis. Students will learn:

  • The definitions and properties of sine and cosine functions in the complex domain.
  • How these functions relate to harmonic functions.
  • Applications of sine and cosine functions in solving complex problems.
  • Examples illustrating the significance of these functions in complex analysis.

By the end of this module, students will have a clear understanding of sine, cosine, and harmonic functions and their applications in complex analysis.


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

    This module serves as an introduction to the fundamental concepts of complex numbers. Students will explore the definition and representation of complex numbers in the complex plane, including their geometric interpretation.

    Key topics include:

    • Definition of complex numbers
    • Real and imaginary parts
    • Basic arithmetic operations on complex numbers
    • The modulus and argument of complex numbers

    By the end of this module, students will have a solid foundation in complex numbers, which is essential for further studies in complex analysis.

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

    This lecture focuses on de Moivre's Formula and its application in complex analysis. Students will learn how de Moivre's Theorem relates complex numbers to trigonometric functions.

    Topics covered include:

    • Statement and proof of de Moivre's Formula
    • Applications to powers and roots of complex numbers
    • Understanding stereographic projection and its significance

    Through examples and exercises, students will gain insight into the connection between complex numbers and geometry.

  • This lecture introduces the topology of the complex plane, focusing on essential concepts that shape the understanding of complex functions. Students will study the nature and properties of open and closed sets.

    Topics include:

    • Definition of open and closed sets in the complex plane
    • Neighborhoods and limit points
    • Compactness and connectedness
    • Continuity in the context of complex functions

    By the end of this lecture, students will appreciate how topology influences the behavior of complex functions.

  • This module continues the exploration of the topology of the complex plane, focusing on advanced properties and their implications in complex analysis. Students will expand on previous concepts and apply them to complex functions.

    Key topics include:

    • Further examination of neighborhoods
    • Understanding homeomorphisms
    • Topological properties of complex functions

    Students will engage in exercises that demonstrate the critical role of topology in analyzing complex functions.

  • This lecture concludes the series on the topology of the complex plane, highlighting additional concepts and their applications. Students will learn about the interactions between topology and the behavior of complex functions.

    Topics covered include:

    • Convergence and continuity in complex analysis
    • Connectedness and compactness in the context of complex functions
    • Topological implications of analytic functions

    By integrating these concepts, students will develop a robust understanding of topology as it relates to complex analysis.

  • This module provides an in-depth analysis of the topology of the complex plane, culminating in key concepts relevant to complex analysis. Students will explore advanced properties and their implications.

    Topics include:

    • Limit theorems and their significance
    • Complex function behavior in various topological contexts
    • Applications of topology in solving complex problems

    Through problem-solving exercises, students will solidify their understanding of the interplay between topology and complex functions.

  • This module introduces complex functions, which are crucial in understanding complex analysis. Students will learn about:

    • The definition and properties of complex functions.
    • How to represent complex functions graphically.
    • Different types of mappings that complex functions can perform.
    • Applications of complex functions in various fields such as engineering and physics.

    By the end of this module, students will have a solid foundation in identifying and analyzing complex functions.

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

    This module covers the essential concepts of limits and continuity in the context of complex analysis. Students will explore:

    • The definitions of limits in complex functions.
    • Techniques for evaluating limits.
    • Continuity and its importance in complex analysis.
    • Examples illustrating limits and continuity in various complex scenarios.

    By the end of this module, students will be adept at determining the limits of complex functions and understanding the implications of continuity.

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

    This module focuses on differentiation in the realm of complex analysis. Key topics include:

    • The concept of differentiation for complex functions.
    • Understanding the geometric interpretation of derivatives.
    • Applications of differentiation in solving complex problems.
    • The relationship between differentiation and analytic functions.

    Students will gain the necessary skills to differentiate complex functions and comprehend their significance in complex analysis.

  • This module introduces the Cauchy-Riemann equations, a cornerstone of complex differentiation. Students will learn about:

    • The formulation and significance of the Cauchy-Riemann equations.
    • How these equations determine the differentiability of complex functions.
    • Applications of the equations in identifying analytic functions.
    • Examples that illustrate the use of Cauchy-Riemann equations in complex analysis.

    By the end of this module, students will have a comprehensive understanding of how to apply the Cauchy-Riemann equations to analyze complex functions.

  • This module explores analytic functions, emphasizing the exponential function and its properties. Key points include:

    • The definition and characteristics of analytic functions.
    • In-depth study of the exponential function as a prime example of an analytic function.
    • Applications of analytic functions in various mathematical contexts.
    • How to identify and work with analytic functions in complex analysis.

    Students will leave this module with a thorough knowledge of analytic functions and their pivotal role in complex analysis.

  • This module covers sine, cosine, and harmonic functions within the framework of complex analysis. Students will learn:

    • The definitions and properties of sine and cosine functions in the complex domain.
    • How these functions relate to harmonic functions.
    • Applications of sine and cosine functions in solving complex problems.
    • Examples illustrating the significance of these functions in complex analysis.

    By the end of this module, students will have a clear understanding of sine, cosine, and harmonic functions and their applications in complex analysis.

  • This module delves into the concept of branches of multifunctions and hyperbolic functions. You'll learn about:

    • The definition and significance of branches in complex analysis.
    • Different types of multifunctions and their applications.
    • Hyperbolic functions, their properties, and how they relate to circular functions.
    • Real and complex hyperbolic identities that are crucial for solving complex equations.

    Understanding these concepts is vital for tackling advanced topics in complex analysis and will lay the groundwork for exploring further integrative properties of functions.

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

    This module is a problem-solving session designed to enhance your understanding of complex analysis through practical applications. Key highlights include:

    • Step-by-step problem-solving techniques for various complex functions.
    • Collaborative learning through group discussions and exercises.
    • Application of Cauchy's theorem and residue theorem in solving real problems.
    • Strategies to tackle common pitfalls in complex function integration.

    By engaging in this session, you will gain confidence in applying theoretical concepts to practical problems.

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

    This module introduces the topic of integration in the context of complex analysis. Key areas of focus include:

    • The fundamentals of contour integration and its importance in complex analysis.
    • Different types of contours and their applications in evaluating complex integrals.
    • Understanding parametrization of paths in the complex plane.
    • Real-life applications of contour integration in physics and engineering.

    Mastering these concepts will enhance your mathematical toolbox and prepare you for more advanced studies.

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

    This module focuses on contour integration techniques, which are crucial for evaluating complex integrals. The topics covered include:

    • Detailed exploration of various contour integration methods.
    • How to choose the right contour for different types of integrals.
    • Application of the residue theorem in simplifying the evaluation of integrals.
    • Examples illustrating the power of contour integration in solving complex problems.

    With a deep dive into these techniques, you will be well-equipped to tackle complex integrals in various contexts.

  • This module serves as an introduction to Cauchy's theorem, a fundamental principle in complex analysis. Key aspects include:

    • The statement and implications of Cauchy’s theorem.
    • Understanding the conditions under which the theorem applies.
    • Geometric interpretations of Cauchy’s theorem in the complex plane.
    • Examples that demonstrate the theorem's utility in solving complex integrals.

    Grasping these concepts will provide a strong foundation for further studies in complex analysis and its various applications.

  • This module delves into Cauchy's theorem for a rectangle, focusing on its applications and implications. Key topics include:

    • Detailed exploration of Cauchy’s theorem specifically for rectangular contours.
    • How to apply the theorem to evaluate integrals over rectangular paths.
    • Understanding the significance of analytic functions in this context.
    • Real-world applications demonstrating the theorem's effectiveness in solving complex analysis problems.

    By the end of this module, you will be proficient in applying Cauchy’s theorem for rectangular contours, enhancing your analytical skills.

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

    This module delves into the intricacies of Cauchy's theorem, which is a fundamental result in complex analysis. It encompasses:

    • The statement and proof of Cauchy's theorem.
    • Applications of the theorem in evaluating complex integrals.
    • The conditions under which the theorem holds true.
    • Illustrative examples that highlight the theorem's significance.

    By the end of this module, students will have a comprehensive understanding of how Cauchy's theorem lays the groundwork for further concepts in analytic functions.

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

    This module presents the third part of the exploration of Cauchy's theorem, focusing on advanced applications and consequences of the theorem. Key topics include:

    • Extensions of Cauchy's theorem to various domains.
    • Detailed analysis of complex integrals and their evaluation.
    • Further implications in the study of analytic functions.
    • Examples illustrating the practical use of Cauchy's theorem.

    Students will deepen their understanding of complex analysis through rigorous proofs and practical problem-solving.

  • This module introduces Cauchy's integral formula, a pivotal result in complex analysis. The content includes:

    • The formulation and derivation of the integral formula.
    • Applications in evaluating integrals of analytic functions.
    • Consequences of the formula in understanding analytic properties.
    • Examples that demonstrate the power of Cauchy's integral formula.

    Students will learn how this formula serves as a key tool in the field of complex analysis, paving the way for further studies in the subject.

  • This module focuses on the first and second derivatives of analytic functions, exploring their properties and significance. Key topics include:

    • Definition and calculation of the derivatives of analytic functions.
    • Exploration of the relationship between differentiability and analyticity.
    • Application of the derivatives in solving complex problems.
    • Examples showcasing the practical use of these derivatives.

    By understanding these derivatives, students will be equipped to tackle more complex concepts in the realm of complex analysis.

  • This module presents Morera's theorem and its implications in the study of higher-order derivatives of analytic functions. The content covers:

    • The statement and proof of Morera's theorem.
    • Applications of the theorem in establishing the analyticity of functions.
    • Higher-order derivatives and their significance in complex analysis.
    • Examples that illustrate the application of Morera's theorem.

    Students will gain insight into how Morera's theorem connects with the concept of analyticity and how it can be used in practical scenarios.

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

    This module serves as an interactive problem-solving session, where students apply their knowledge of complex analysis to tackle various problems. The session includes:

    • Guided problem-solving exercises based on previous modules.
    • Opportunities for collaborative learning and discussion.
    • Strategies for approaching complex problems in analysis.
    • Feedback and insights from instructors on problem-solving techniques.

    This interactive approach ensures that students not only understand the theoretical concepts but also gain practical skills in applying them.

  • This module introduces the concept of complex power series, focusing on their formulation and importance within complex analysis. Key topics include:

    • Definition of complex power series
    • Radius of convergence and its implications
    • Behavior of power series in the complex plane
    • Examples and applications in analytic functions

    Understanding power series is crucial for further exploration of analytic functions, as they provide a foundation for Taylor series and Laurent series.

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

    This module delves into the analyticity of power series, establishing the connection between power series and analytic functions. Key areas include:

    • Definition and properties of analytic functions
    • How power series represent analytic functions
    • Convergence of power series within their radius
    • Implications of analyticity in complex analysis

    By understanding the analyticity of power series, students gain insight into the behavior of complex functions and their applications.

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

    This module focuses on Taylor's theorem, which describes the representation of analytic functions as power series. Students will explore:

    • The statement and proof of Taylor's theorem
    • Application of Taylor series in approximating functions
    • Importance of higher-order derivatives
    • Examples demonstrating practical uses

    Taylor's theorem is essential for understanding local behavior of functions and is widely utilized in numerical methods and approximations.

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

    This module investigates the zeros of analytic functions, addressing their significance and methods for counting them. Topics include:

    • Definition of zeros of analytic functions
    • The role of zeros in complex analysis
    • Methods for identifying and counting zeros
    • Connection to the fundamental theorem of algebra

    Understanding zeros is crucial for applications in contour integration and residue calculus, making this a vital part of complex analysis.

  • This module covers the methods for counting zeros of analytic functions, emphasizing their importance in complex analysis. Key topics include:

    • Different techniques for counting zeros
    • Rouche's theorem and its application
    • Argument principle and its significance
    • Case studies illustrating counting methods

    Students will learn how these techniques are applied in various contexts, enhancing their understanding of complex function behavior.

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

    This module introduces the open mapping theorem, discussing its implications for the behavior of analytic functions. The content covers:

    • The statement and proof of the open mapping theorem
    • Consequences for continuous and analytic maps
    • Applications in complex dynamics and function theory
    • Examples and intuitive understanding of the theorem

    Understanding the open mapping theorem is crucial for deeper insights into the structure of analytic functions and their mappings in the complex plane.

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

    This module delves into the Open Mapping Theorem, focusing on its implications and applications in complex analysis. The Open Mapping Theorem states that if a function is analytic and non-constant on a domain, it maps open sets to open sets. Key topics include:

    • Understanding the significance of open sets in complex analysis.
    • Exploring the conditions under which the theorem applies.
    • Analyzing examples to illustrate the theorem’s utility.
    • Applications in determining the behavior of analytic functions.

    Through detailed explanations and problem-solving sessions, students will gain a comprehensive understanding of this fundamental theorem and its relevance in the broader context of complex functions.

  • This module introduces the Properties of Mobius Transformations, emphasizing their significance in complex analysis. Mobius transformations are one-to-one mappings of the extended complex plane and can be represented in the form:

    f(z) = (az + b) / (cz + d), where ad - bc ≠ 0.

    Key points covered include:

    • Understanding the geometric interpretation of Mobius transformations.
    • Identifying fixed points and their implications.
    • Exploring the relationship between Mobius transformations and circles/lines in the complex plane.
    • Applications in various branches of mathematics and physics.

    Students will engage in problem-solving to reinforce these concepts and understand the practical implications of Mobius transformations.

  • This module continues the exploration of Mobius Transformations, diving deeper into their properties and applications. Students will learn about:

    • The effects of Mobius transformations on angles and shapes.
    • How to compose multiple Mobius transformations.
    • Understanding the preservation of cross ratios and its significance.
    • Applications in advanced mathematics and theoretical physics.

    Through interactive discussions and examples, learners will solidify their understanding of how Mobius transformations function and their role in complex analysis.

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

    This module offers a Problem Solving Session focusing on Mobius Transformations. Students will tackle various problems that help reinforce their understanding of the concepts learned in previous modules. This session will include:

    • Real-world applications of Mobius transformations.
    • Step-by-step problem-solving techniques.
    • Collaborative group work to encourage discussion and deeper learning.
    • Review of common pitfalls and challenges associated with transformations.

    By actively engaging in problem-solving, students will enhance their analytical skills and gain confidence in applying Mobius transformations.

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

    This module discusses Removable Singularities, a crucial concept in complex analysis. Removable singularities occur when a function can be redefined at a point to make it analytic. The module covers:

    • Identifying removable singularities in various functions.
    • Understanding the conditions for a singularity to be removable.
    • Exploring examples and counterexamples in complex functions.
    • Applications in simplifying complex functions.

    Through detailed explanations and practice problems, students will develop a robust understanding of removable singularities and their importance in the study of analytic functions.

  • This module focuses on the Classification of Isolated Singularities, particularly Poles. Poles are points where a function approaches infinity, making them a vital topic in complex analysis. Key aspects of this module include:

    • Defining isolated singularities and their types: removable, pole, and essential.
    • Understanding the behavior of functions around poles.
    • Exploring the order of poles and its implications.
    • Applications in evaluating complex integrals and residue calculations.

    Students will engage with various examples and exercises to categorize singularities effectively and apply this knowledge in practical scenarios.

  • This module focuses on essential singularities and introduces the concept of Laurent series. Key topics include:

    • Definition and examples of essential singularities
    • Distinction between removable and pole singularities
    • Construction and application of Laurent series
    • Understanding convergence in the context of Laurent series
    • Applications of Laurent series in complex function analysis

    By the end of this module, students will gain a solid understanding of how essential singularities impact the behavior of complex functions and how to utilize Laurent series for function representation.

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

    This module delves into Laurent's Theorem, which provides essential insights into the behavior of complex functions around singular points. Key aspects covered include:

    • Statement and proof of Laurent's Theorem
    • Understanding the conditions for the existence of Laurent series
    • Application of Laurent's Theorem in evaluating complex integrals
    • Connection between Laurent series and residue calculations
    • Examples illustrating the practical use of the theorem in complex analysis

    By completing this module, students will appreciate the power of Laurent's Theorem in analyzing complex functions, especially near their singularities.

  • This module covers the Residue Theorem and its applications in complex analysis. Key topics include:

    • Statement and proof of the Residue Theorem
    • Understanding residues and their computation
    • Applications of the Residue Theorem in evaluating real integrals
    • Use of residues in contour integration techniques
    • Examples demonstrating practical applications of the theorem

    Upon completion, students will be equipped to apply the Residue Theorem to solve complex integral problems effectively.

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

    This module is a problem-solving session that focuses on applying concepts learned in previous modules. It includes:

    • Practice problems on essential singularities and Laurent series
    • Collaborative problem-solving strategies
    • Real-time discussion of complex analysis problems
    • Opportunities for students to present their solutions
    • Feedback and guidance from the instructor on problem-solving techniques

    This interactive session aims to reinforce understanding and enhance problem-solving skills in the context of complex analysis.