This course will enable the students to -
Course |
Learning outcomes (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24MAT 424(C)
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Advanced Real Analysis-II (Theory)
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CO184: Analyze properties of derivative and integrability of absolutely continuous functions. CO185: Explain properties of measure and integration. CO186: Explore the concept of Fourier series of functions of class L and prove related theorems. CO187: Determine operation , properties and convergence of distribution’s CO188: Apply differentiation on distribution and define direct product of distributions. CO189: Contribute effectively in course-specific interaction.
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Approach in teaching: Interactive Lectures, Discussion, Informative videos
Learning activities for the students: Self learning assignments, Effective questions, Topic presentation, Assigned tasks |
Quiz, Class Test, Individual projects, Open Book Test, Continuous Assessment, Semester End Examination
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Banach-Zarecki theorem, Derivative and integrability of absolutely continuous functions, Lebesgue point of a function, determining a function by its derivative.
Additive set functions, Measure and signed measure, Limit theorems, Jordan and Hahn decomposition theorems, Complete measures, Integrals of non- negative functions, Integrable functions, Absolute continuous and singular measures, Radon-Nikodym theorem, Radon- Nikodyn derivative in a measure space.
Fourier series of functions of class L, Fejer-Lebesgue theorem, Integration of Fourier series, Cantor- Lebesgue theorem on trigonometric series, Riemann’s theorem on trigonometric series, Uniqueness of trigonometric series.
Distribution Theory I: Test functions, Compact support functions, Distributions, Operation on distributions, Local properties of distributions, Convergence of distributions.
Differentiation of distributions and some examples, Derivative of locally integrable functions, Distribution of compact support, Direct product of distributions and its properties, Convolution and properties of convolutions.
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