Textbook(s):
Course
Description: This one semester course is a basic
introduction to measure theory, real analysis and Lebesgue integral. The emphasis is put to
end up in a capacity to understand and to carry out computations with
inner and outer measures, measurability, nonmeasurable sets, null
sets, measurable functions, Egoroffs's Theorem, Lebesgue-Stieltjes integrals, Fatou's
lemma, monotone and dominated convergence theorem, L^p-spaces and related
inequalities, product measures, Tonelli's and Fubini's Theorem,
L^p and weak convergence, Radon Nikodym derivatives, Banach
space of functions of bounded variation, absolutely continuous
functions and metric spaces.
Its purpose is to develop many of the advanced mathematical tools that are
necessary for the understanding of all other advanced courses in analysis.
Prerequisite is strong grasp of topics of Math 452.
We will hopefully find a student-friendly adapted way of teaching.
The course is directed to graduate students, hence to mathematically
more advanced participants, however newcomers which bring their
unbounded willingness to learn new mathematical techniques are welcomed as well.
The almost complete manuscript of text [4] is available in my office.
Measure theory is certainly a very large and active field, and we will certainly
not be able to cover all of the important techniques in a
one-semester course, so I intend to let the interests and needs of the
registered students guide the choice of some more specific topics to be studied
to some extent.
(I am already afraid of skipping very important issues.)
Course History: This course is taught at nearly all universities throughout the world and considered to be the "gate to modern analysis". There are plenty of books related to measure theory. Thus, stay with me and learn about more recent developments.
Prerequisites
and Development of Contents:
This course should be accessible to any student with a strong grasp
of theory of single variable calculus and some prelude of vector analysis.
Officially prerequisite is Math 452. However, the main thing is you
are willing to learn with me.
The content of this course itself should very nearly coincide with
my new manuscript in progress, although from time to time I will
have to give some more details from other standard references.
I guess that you haven't seen the concepts developed in the way that they
are here. Thus, for your pleasure and convenience, I will give
a concise and relatively selfcontained summary whatever is needed to
understand the related course material. The plan is for us to cover most of
the textbook, as time permits. Everything will be somewhat experimental, and I
hope the audience will forgive me that I am not perfect. However, be sure that I
will do my very best to please you and your expectations. My
advantage is that I am very enthusiastic such that this "fire" can
carry over to you and above all I am clearly very organized as reviewers
write on my style.
Readings,
Problem Sets, Exams:
Readings are from textbook(s), and problem sets will be from the texts
I hand out in the lecture and from my manuscript, and
it will be assigned in class and additionally published at my
homepage. Exams will cover all material covered in the lectures and/or
the readings. I hope to have put a fair effort into his
presentation from very practically oriented point of view,
and my approach is probably quite different from what you've seen
before (hopefully not). I therefore encourage you to read the textbook and
related material,
and even better read extra literature for those they want to have
exp(A+) grade at the very end with me.
Exam Dates:
My Grading Strategies - Grade Distribution: Grading relative to the best attained score, no curve fitting, no homework make-ups, no quizz make-ups!
Course Syllabus in PS Format (Old, Last Update: 01/18/05) - This is in postscript format, you will need ghostview to read it!
Course Syllabus in PDF Format (Old, Last Update: 01/18/05) - This is in pdf format, you will need XPDF or ACROBAT readers to read it!
Assignment 1 (ps-file) or
(pdf-file)
(Due 02/03/06)
Assignment 2 (ps-file) or
(pdf-file)
(Due 02/17/06)
Assignment 3 (ps-file) or
(pdf-file)
(Due 03/03/06) -
Assignment 4 (ps-file) or
(pdf-file)
(Due 03/24/06) -
Assignment 5 (ps-file) or
(pdf-file)
(Due 04/14/06) -
Assignment 6 (ps-file) or
(pdf-file)
(Due 04/28/06) -
This is in postscript and pdf format, you
will need GHOSTVIEW to read postscript and ACROBAT READER to read pdf,
resp.!
Current Course Outline
(Need to be Revised, Last Update: 04/30/05):
Read this
Without Tears:
WHAT IS EXPECTED OF YOU
(From "Teaching at the University Level" by Stephen Zucker, Notices Amer.
Math. Soc. 43 (1996), p. 863))
25 Further
Introductory Readings To Real Analysis, Measure and Integration -Theory
For The BEYOND-THE-HORIZON Student (optional, for
those they want to have profound readings I recommend to work through this
list, and make your personal preferences, but do not expect to understand
them all immediately):
40 Further
Introductory Readings To Measure-Theory-Based Probability and Stochastic Processes
For The BEYOND-THE-HORIZON Student (optional, for
those they want to have profound readings in measure-axiomatic-based
probability theory, I recommend to work through this
list, and make your personal preferences, but do not expect to understand
them all immediately, it took me more than 18 years, and we are still working
on it!):
Week 1 : Preliminaries, Set Operations, Family of Sets, Set Mappings,
Functions, Image and Inverse Image, Injective, Surjective and Bijective
Mappings, Power Sets, Calculus of Indicator Functions, Family of Sets,
Monotonicity and Convergence of Sets, Borel's Liminf and Limsup,
Compatibility of Set Operations and Functions
Week 2 :
Cartesian Product, Relations, Equivalence Relations,
Orders, Chains, Partial and Linear Orders, Axiom of Choice, Zorn's Lemma, Hausdorff
Maximal Principle, Well-Ordering Principle, Countable and Uncountable Sets,
Cardinality, Equivalence of Cardinality, Theorem of Cantor,
Cardinality of Sets of Real Numbers, Cantor Sets, Cantor Function
Week 3 : Concepts of Semi-Ring, Sigma-Sets, Ring, Sigma-Ring, Delta-Sets,
Borel Sets of R^d, Algebra, Sigma-Algebra, Borel Sigma-Algebra of R^d, Dynkin Systems,
Intersection-Stability, Smallest Sigma-Algebra Generated by Family of Sets,
Introduction to Metric and Topological Spaces, Open Balls, Open Sets, Interior Points,
Closed Sets, Closure, Closed Balls, Accumulation Points, Simple Convergence
Week 4 : Boundary Points, Boundary, Products of Metric Spaces, Dense Sets,
Nowhere Dense Sets, Simple Continuity, Characterization of Continuous
Mappings on Metric Spaces, Homeomorphism, Equivalent Metrics, Bounded Sets,
Diameter of Sets, Cauchy Sequence, Completeness, Complete Metric Spaces,
Space of Uniformly Bounded Functions B(Omega), Characterization of Closed
Sets by Complete Metric SubSpaces, Theorem of Cantor, Separability, Examples
of L^p and C^0, Completeness of L^p and C^0, Meager Sets, Baire Spaces,
Baire's Category Theorem
Week 5 : Uniform Continuity, Continuity of Distances, Isometry, Completion,
Isometric Metric Spaces, Contractive Mappings, Banach's Contraction Mapping
Principle, Defect Inequality, Cover and Subcover, Theorem of Lindeloef, Compactness, Compact
Metric Spaces, Characterization of Compact Sets, Proof of Theorem of Heine-Borel
Week 6 : Continuous Functions and Compactness, Total Boundedness, Isolated
Points, Concepts of Topological Spaces, Topology, Open Sets, Discrete
Topology, Induced Topology, Borel Sets of Topological Spaces,
Neighborhood, Interior and Closure Points, Dense Sets, Boundary,
Accumulation Points, Meager Sets, Nowhere Dense Sets, Hausdorff Space,
Characterization of Continuous Mappings, Compact Topological Spaces,
Oscillation Measure of Functions, Duality Relation of F_sigma and G_delta
Sets, Compact Subsets
Week 7 : Extreme Value Behavior on Compact Sets, Homeomorphic Topological
Spaces, Homeomorphism, Linear Vector and Normed Spaces, Norm, Linear Span,
Basis, Linear Dependence, Completeness of l_p, Equivalence of Norms on
Finite-dimensional Vector Spaces, Open and Closed Unit Balls, Local
Compactness, Symmetric and Convex and Circled Sets, Vector Lattices,
Function Spaces, The Spaces B(X) and C^0(X), Pointwise and
Uniform Convergence of Functions on Topological Spaces, Completeness of
C^0(X), Monotonicity, Dini's Theorem, Weierstrass and Dirichlet Tests,
Arzela-Ascoli Theorem
Week 8 :
Proof of Arzela-Ascoli Theorem, Topological Set Functions,
Abstract Measures, Measures on Semirings, Properties of Abstract Measures:
sigma-Monotonicity, sigma-Additivity, Positive and Monotone
Measures, Subadditivity, Measurable Spaces, Measure Space, Examples: Counting Measure,
Dirac Measure, Atomic Measure, f-Induced Measures, n-Dimensional Lebesque-Measure,
Finite and sigma-Finite Measures, Contents, Additive and Finitely Additive Measures,
Subtractivity of Positive Measures, Monotone Continuity of Measures (m-Continuity)
Week 9 : Spring Break
Week 10 : Equivalence of sigma-Additivity and m-Continuity,
Minimal Extension-Ring, Trace of a Set, Lebesgue's Extension of Measures
on Minimal Extension-Ring of a Semiring, Caratheodory's Extension of Measures
by Outer Measures, Inner and Outer Positive Measures, Measurability of Sets,
Properties of Outer Measures, Set of Measurable Sets M(X) over X,
Complete Measure Spaces, Completion Procedure of Kolmogorov,
Null Sets, Equivalence of Completion of Metric Spaces and Measure Spaces,
Caratheodories Equivalence Theorem of Measurability, sigma-Subadditivity of
Outer Measures
Week 11 : Examples of Null Sets, sigma Algebra Property of M(X), sigma-Additivity
of Positive Measure Space (X,M(X),mu), Extension of n-dimensional Lebesgue Measure
lambda_n on M(X), Unique Extension Properties of Outer Measures, Examples of Nonmeasurable Sets,
Translation and Rotation Invariance of Lebesgue Measure lambda, Measurable Covers,
Metric Outer Measure, Measurability of Closed and Open Sets,
Signed Measures nu, Generation by sigma-Additive Measures, Generation by Signed Lebesgue-Stieltjes
Measures, Properties of nu-Positive and nu-Negative Sets, Hahn Decomposition
Week 12 :
Variation and Total Variation of Signed Measures, Jordan Decomposition,
Properties of Signed Measures, The Space S(X,F), Vector Lattice Property
of S(X,F), Linear Combination of Measures, Infimum and Supremum of Measures,
The Complete Metric Space ((X,F,nu),rho),
Singular and Absolute-Continuous Measures, Support of a Signed Measure,
Properties and Relations between Absolute-Continuous Measures, Lebesgue Decomposition of Signed
Measures, Radon-Nikodym Theorem, Borel Sets of and Borel Measures on Topological Spaces,
Regular Borel Measure, Lebesgue Measure is a Regular Borel Measure, Measurable Functions and Mappings,
Examples, Nonmeasurable Functions
Week 13 :
Properties of Measurable Functions, Algebra M of Measurable Functions,
Vector Lattice and Function Space Property of M, Convergence Almost Everywhere,
Theorem of Egorov, Theorem of Luzin, mu-Equivalence of Functions,
Convergence in Measure, Continuity of Lattice Operations on M, Theorem of Riesz,
On Relationship Pointwise Convergence and Convergence in Measure,
mu-Cauchy Sequences, Equivalence of Convergence Concepts under Monotonicity
Week 14 :
Simple Functions, Integration of Simple Functions, Daniell's Properties
of Simple Integrals, Lebesgue(-Stieltjes) Integral, Absolute-Continuity and
Sigma-Additivity of Lebesgue Integral, Chebyshev Inequality, Markov Inequality,
Convergence Theory for Lebesgue Integral, Proof of Bounded (Dominated) Convergence Theorem
Week 15 :
Proofs of Lemma of Fatou, Levi's Theorem, Monotone Convergence Theorem,
Application to Convergence of Function Series, Uniform Integrability,
Main Convergence Theorem, Semicontinuous Functions, Baire's Limit Functions,
Relation between Riemann and Lebesgue Integrals, Monotone Functions,
Lebesgues Theorem on Differentiability of Monotone Functions,
Functions of Bounded Variation, Total Variation, Subadditivity of Variations,
Additivity of Limits, Further Properties
Week 16 :
Banach Space of Functions of Bounded Variation, L^p Spaces, Embedding of L^p Spaces,
Inequalities (Young, Hoelder, Cauchy-Bunjakowski-Schwarz, Minkowski,
Fundamental, Jensen, Lyapunov), Product Measures, Additivity and
Sigma-Additivity of Product Measures, Theorem of Fubini (Theorem of
Fubini-Tonelli).
Further Interesting Related Topics / Miscallenea:
Banach Space of Functions of Bounded Variation, Bounded
p-Variation, Complete Proof of Radon Nikodym Theorem
(Daniell Integral, Probability Measures, PseudoMeasures, Radon Measures, Weak Convergence,
Tightness, Separations, Uryson's Lemma, Theorem of Uryson,
Tietze's Extension Theorem, Stone-Weierstrass Theorem, Helley's Selection
Principle, Hilbert Spaces and Operators)