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  Real Analysis Math 531 -- SM--3:30PM-4:45PM
 King Fahd University of Petroleum and Minerals-- 072
 
 
 	      
  
         
            Real Analysis is an enormous field with applications to many areas of mathematics. Roughly speaking, it has applications to any setting where one integrates functions, ranging from harmonic analysis on Euclidean space to partial differential equations on manifolds, from representation theory to number theory, from probability theory to integral geometry, from ergodic theory to quantum mechanics. Instructor:  Dr. Assane Lo 
 Required Text
 
Recommended Texts 
        
        
         Prerequisites. 
Intended for graduate students. Royden, 
	 Real Analysis, 3rd ed. 
	Prentice-Hall, 1988.
 
 Topics.  
This course will provide a rigorous introduction to 
measurable functions, Lebesgue integration, Banach spaces
and duality.  
Possible topics include:
 
   Functions of a real variable 
	
	
	Real numbers; open sets; Borel sets; transfinite induction.
	
	Measurable functions.  Littlewood's 3 principles.
	
	Lebesgue integration
	
	Monotonicity, bounded variation, absolute continuity.
	
	Differentiable and convex functions.
	
	The classical Banach spaces.
   Classical Banach spaces 
  
  
	
	The Lp spaces.
	
	The Minkowski and Holder inequalities.
	
	Convergence and Completeness.
	
	Approximation in Lp.
	
	Bounded linear functionals on the Lp spaces.
        General Measure and Integration Theory 
  
     Measure spaces.
	     Measurable Functions.
	     Integration.
	     General convergence Theorems.
	     Signed measures.
        The radon-Nikodym Theorem
        The general Lp spaces 
   
   Reading and Lectures. 
    Students are responsible for all topics covered in
    the readings and lectures.
    Assigned material should be read  before 
    coming to class.  Lectures may go beyond the
    reading, and not every topic in the reading will be
    covered in class.  
    
 Grades.
   The grade will be based on HW (50%), the mid-term (25%) and the final (25%) .
 Homework.  Homework will be assigned once every
        week or two.  Late homework will not be accepted.  Collaboration between students is encouraged, but you
        must write your own solutions, understand them and
        give credit to your collaborators.
 
 Exams.  There will be one mid-term and a final.
 
 
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