Measure Theory

Paper Code: 
DMAT 712
Credits: 
6
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to-

  1. Understand the concept of the abstract measure theory, definition and main properties of the integral.
  2. Construct Lebesgue's measure on the real line and in n-dimensional Euclidean space.
  3. Learn the advanced directions of measure theory.

Course Outcomes (COs):

 Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Course Code

Course Title

DMAT 712

 

 

 

 

 

 

 

 

 

Measure Theory

(Theory)

 

 

 

 

 

 

 

 

The students will be able to –

 

CO132: Analyze the theory of measure.

CO133: Demonstrate Lebesgue integration and its properties.

CO134: Determine Lebesgue theorem on the passage to the limit under the integral sign for bounded measurable functions, Summable functions: Space of square summable functions.

CO135: Know Fourier series and coefficients, Parseval's identity, Riesz-Fisher Theorem, Egoroff's theorem.

CO136: Explain Lp-spaces, Holder - Minkowski inequalities, Completeness of L p -spaces.

CO137: Analyze the concept of Measurable functions: Realization of non-negative measurable function. Structure of measurable functions. Convergence in measure.

Approach in teaching:

 

Interactive Lectures, Discussion, Power Point Presentations, Informative videos

 

Learning activities for the students:

Self learning assignments, Effective questions, presentations, Giving tasks

Quiz, Poster Presentations,

Power Point Presentations, Individual and group projects,

Open Book Test, Semester End Examination

 

 

 

 

Unit I: 
I
18.00
Algebra and algebras of sets, Algebras generated by a class of subsets, Borel sets, Lebesgue measure of sets of real numbers, Measurability and measure of a set, Existence of non-measurable sets.
 
Unit II: 
II
18.00
Measurable functions: Realization of non-negative measurable function as limit of an increasing sequence of simple functions, Structure of measurable functions, Convergence in measure, Egoroff's theorem.
 
Unit III: 
III
18.00
Lebesgue integral of bounded measurable functions, Lebesgue theorem on the passage to the limit under the integral sign for bounded measurable functions.
 
Unit IV: 
IV
18.00
Summable functions: Space of square summable functions. Fourier series and coefficients, Parseval's identity, Riesz-Fisher Theorem.  
 
Unit V: 
V
18.00

Lp-spaces, Holder-Minkowski inequalities, Completeness of Lp-spaces.

Essential Readings: 
  • Shanti Narayan, A Course of Mathematical Analysis, S.Chand & Co.New Delhi, 2005.
  • T.M. Apostol, Mathematical Analysis, Narosa Publishing House, New Delhi, 2002.
  • Walter Rudin, Real and Complex Analysis, McGraw-Hill Education, 2017.
References: 
  • P.K. Jain and S.K. Kaushik, An Introduction to Real Analysis, S.Chand & Co, New Delhi, 2000.  
  •  R.R. Goldberg, Real Analysis, Oxford and IBH publishing Company, New Delhi, 1970.
  • Halsey Royden, Patrick Fitzpatrick, Real Analysis, Pearson’s United States Edition, 2010.
  • G.F. Simmons, Introduction to Topology and Modern Analysis, McGraw-Hill Book, New Delhi, 2017.
  • G. De. Barra, Measure Theory and Integration, New Age International Private Limited, 2013.
  • S.K. Berberian, Measure and Integration, McMillan, New York, 1965.
  • I.K. Rana, An Introduction to Measure and Integration, Narosa Publishing House New Delhi, 2007
 
Academic Year: 
2023-2024
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