Measure and Integration (Real Analysis II)
Math 501
Spring 2006

Instructor: Prof. Dr. rer. nat. Henri Schurz
WHAM 328 on Mon - Wed - Fri at 11 - 12 am
(core-time for 3 credits)
Location: WHAM 328
Office Hours in 2006: Neckers 265, MTWThF 12:10-12:50pm, TTh 2:10-3:30pm
(Last Update: 03/10/06)



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):

    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)


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):

  • 1. M. Adams and V. Guillemin: Measure Theory and Probability, Birkhaeuser, Boston, 1996 [Probabilistic Touch].
  • 2. R.G. Bartle: The Elements of Integration and Lebesgue Measure, Wiley, New York, 1966 [Jumps Immediately into Measurable Functions and Real Calculations, Late Use of Set Algebra Concepts].
  • 3. H. Bauer: Mass- und Integrationstheorie, de Gruyter, Berlin, 1992 (German, 2nd edition) [Good Easy and Compact Reading].
  • 4. J. Bellach, P. Franken, E. Warmuth and W. Warmuth: Mass und Integral und Bedingter Erwartungswert, Unknown Binding, Berlin, 1978 (German) [Probabilistic Touch].
  • 5. P. Billingsley: Probability and Measure, Wiley, New York, 1986 [Very Probabilistic Touch]
  • 6. J.L. Doob: Measure Theory, Springer-Verlag, New York, 1994 [Classic].
  • 7. J. Elstrodt: Mass- und Integrationstheorie, Springer-Verlag, Heidelberg, 1996 (German) [Interesting].
  • 8. G.B. Folland: Real Analysis: Modern Techniques and Their Applications, Wiley, New York, 1999 (2nd edition) [State-of-the-Art].
  • 9. A. Friedman: Foundations of Modern Analysis, Dover, New York, 1982 [Not for Beginners, Jumps Immediately into Measures, Good Standard Treatise].
  • 10. N.B. Haaser and J.A. Sullivan: Real Analysis, Dover, New York, 1991 [Easy to Read].
  • 11. P.R. Halmos: Measure Theory, Springer-Verlag, Berlin, 1950 [Classic].
  • 12. H. Koenig: Measure and Integration: An Advanced Course in Basic Procedures and Applications, Springer-Verlag, Berlin, 1997 [Not So Easy Reading, State-of-the-Art].
  • 13. A.N. Kolmogorov and S.V. Fomin: Introductory Real Analysis, Dover, New York, 1975 [Comprehensive, Elementary Introduction, Well-Structured]
  • 14. A.N. Kolmogorov and S.V. Fomin: Measure, Lebesgue Integrals and Hilbert Space, New York / London, 1961 [Functional-Analytic].
  • 15. H. Michel: Mass und Integrationstheorie, Deutscher Verlag der Wissenschaften, Berlin, 1978 (German) [Interesting].
  • 16. I.P. Natanson: Theorie der Funktion einer reellen Veraenderlichen, Verlag Harri Deutsch Thun, Frankfurt/Main, 1981 (German, Original from Akademie-Verlag, Berlin, 1975) [Excellent, Elementary, Easy to Read].
  • 17. W. Rudin: Principles of Mathematical Analysis, McGraw-Hill, St. Louis, 1976 [Real Analysis I: Standard Introduction to Real Numbers and Real Functions]
  • 18. W. Rudin: Real and Complex Analysis, McGraw-Hill, St. Louis, 1987 [Good Continuation of Standard Material, Extension to Complex Case]
  • 19. W. Rudin: Functional Analysis, McGraw-Hill, St. Louis, 1991 [Elements of Real Analysis III: Banach Algebras, Spectral Theory and Fourier Transforms]
  • 20. G.P. Tolstow: Mass und Integral, Akademie Verlag, Berlin, 1991 (German) [Easy to Read]
  • 21. H. Triebel: Analysis and Mathematical Physics, Reidel Publ. Co, Dordrecht, 1986 (Original From Teubner, Leipzig, 1986) [A Must for Any Mathematician - Biblic Character].
  • 22. A.C. Zaanen: Linear Analysis: Measure and Integral, Banach and Hilbert Space, Linear Integral Equations, Unknown Binding [Only Used Available].
  • 23. A.C. Zaanen: Introduction to the Theory of Integration, North-Holland Pub. Co, Amsterdam, 1958 [Classic Integration].
  • 24. B.R. Gelbaum and J.M.H. Olmsted: Counterexamples in Analysis, Dover, Mew York, 2003 (ISBN 0-486-42875-3) [Real Number Examples].
  • 25. K.J. Arrow and M.D. Intriligator (eds): Handbook of Mathematical Economy, Vol. 1, North-Holland, Amsterdam, 1981 [Applications of Measures and Concepts of Metric Spaces to Economics].


  • 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!):

  • L. Arnold: Stochastic Differential Equations: Theory and Applications, Krieger Publishing Company, Malabar (FL), 1992 (reprinted, Wiley, New York, 1974, German original, Oldenburg Verlag, 1973).
  • L. Arnold: Stochastic Dynamical Systems, Springer, Berlin, 1998.
  • H. Bauer: Wahrscheinlichkeitstheorie, deGruyter, Berlin, 1991 (English translation, 1996).
  • A.T. Bharucha-Reid: Elements of the Theory of Markov Processes and Their Applications, Dover, Minneola (NY), 1997 (ISBN 0486695395).
  • A.A. Borovkov: Wahrscheinlichkeitstheorie, Akademie-Verlag, Berlin, 1976.
  • P. Bremaud: Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues, Texts in Applied Mathematics 31, Springer, New York, 1999 (ISBN 0387985093).
  • M. Capinski and E. Kopp: Measure, Integral and Probability, Springer, New York, 1999 (ISBN: 3540762604).
  • K.L. Chung: A Course in Probability Theory Revised (3rd edition), Academic Press, London, 2001 (ISBN: 0121741516).
  • J.L. Doob: Stochastic Processes, Wiley, New York, 1953.
  • R. Durrett: Probability: Theory and Examples, Duxbury Press, Belmont (CA), 1995.
  • E.B. Dynkin: Markov Processes I, II, Springer, Berlin, 1965 (Russian original, Fizmatgiz, Moscow, 1963).
  • W. Feller: An Introduction to Probability and Its Applications II, Wiley, New York, 1971.
  • T. Gard: Stochastic Differential Equations, Marcel Dekker, Basel, 1988.
  • I.I. Gikhman and A.V. Skorochod: Introduction to the Theory of Random Processes, Dover, Minneola (NY), 1996 (translation of Russian original, Nauka, Moscow, 1965).
  • B.V. Gnedenko: The Theory of Probability (in Russian), Mir, Moscow, 1988.
  • I.A. Ibragimov and Yu.V. Linnik: Independent and Stationary Sequences of Random Variables, Addison-Wesley, Reading, 1968.
  • I.A. Ibragimov and Yu.A. Rozanov: Gaussian Random Processes, Springer, New York, 1978.
  • J. Jacod and A.N. Shiryaev: Limit Theorems for Stochastic Processes, Springer, New York, 1987.
  • F. Jones: Lebesgue Integration on Euclidean Space (Revised Ed.), Jones & Bartlett Pub., 2000 (ISBN 0763717088).
  • D. Kannan: An Introduction to Stochastic Processes, North-Holland, New York, 1979.
  • I. Karatzas and S.E. Shreve: Brownian Motion and Stochastic Calculus, Springer, New York, 1991.
  • S. Karlin and H.M. Taylor: A First Course in Stochastic Processes, Academic Press, New York, 1975; A Second Course in Stochastic Processes, Academic Press, New York, 1981.
  • R.Z. Khas'minskii: Stochastic Stability of Differential Equations, Sijthoff & Noordhoff, Alphen aan den Rijn, 1980 (translation of Russian original, 1969).
  • A.N. Kolmogorov: Grundbegriffe der Wahrscheinlichkeitsrechnung, Springer, Berlin, 1933 (Reprint, 1973); Foundations of the Theory of Probability, Chelsea, New York, 1956.
  • N.V. Krylov: Introduction to the Theory of Diffusion Processes, AMS, Providence, 1996 (translation of Russian original, 1989).
  • J. Lamperti: Stochastic Processes, Springer, New York, 1977.
  • G.F. Lawler: Introduction to Stochastic Processes, Chapman & Hall Probability Series, CRC Press, New York, 1995 (ISBN 0412995115).
  • P. Levy: Processus Stochastiques et Mouvement Brownien, Gauthier-Villars, Paris, 1948.
  • R.Sh. Liptser and A.N. Shiryaev: Theory of Martingales, Kluwer, Dordrecht, 1989.
  • V.V. Petrov: Sums of Independent Random Variables, Springer, Berlin, 1975; Limit Theorems for Sums of Independent Random Variables (in Russian), Nauka, Moscow, 1987.
  • Yu.A. Prokhorov and Yu. Rozanov: Probability Theory, Springer, New York, 1969.
  • P. Protter: Stochastic Integration and Differential Equations, Springer, New York, 1990.
  • A. Renyi: Probability Theory (in Hungarian, German Translation available), 1954.
  • S.I. Resnick: Adventures in Stochastic Processes, Birkhauser, Boston, 1992.
  • S.I. Resnick: A Probability Path, Springer, New York, 1998 (ISBN 081764055X).
  • D. Revuz and M. Yor: Continuous Martingales and Brownian Motion, Springer, New York, 1994.
  • H. Schurz: (A Brief Introduction to) Numerical Analysis of (Ordinary) Stochastic Differential Equations Without Tears, December Report 1670, IMA, Minneapolis, 1999 (Published by Marcel Dekker, Basel, 2002).
  • H. Schurz: Probabilidad de Honores, Universidad de Los Andes, Bogota, 1998, Lecture Notes Math 581 : Probability based on Measure Theory, SIU, 2002 (Original lecture script can be seen in my office).
  • A.N. Shiryaev: Probability, Springer, New York, 1996 (translation of Russian original, Nauka, Moscow, 1980 (1989)).
  • C. Tudor: Procesos Estoc\'{a}sticos, Aportaciones Matem\'{a}ticas: Textos 2, Sociedad Matem\'{a}tica Mexicana, M\'{e}xico City, 1994. (565 pp., ISBN: 968-36-4004-4).
  • A.D. Wentzell: A Course in the Theory of Stochastic Processes, McGraw-Hill, New York, 1981.