Instructor |
Dragos Oprea
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Lectures: |
MWF, 11pm-11:50pm, AP&M 2-301. |
Course Assistants |
William Wood
- Discussion: Tuesday 4-4:50AM, APM
B-412
- Office: APM 5-412
- Office
Hours: Tuesday, Wednesday, Friday 1-2.
- Email:
wfwood at
ucsd dot edu.
|
Course Content |
Differentiation. Riemann integral. Sequences and series of functions.
Special functions. Fourier series. This corresponds to chapters 5-8
in Rudin's book. |
Prerequisities: |
Math 140A or permission of instructor. Students will not receive
credit for both Math 140 and Math 142. |
Grade Breakdown | The grade is computed as the following
weighed average: - Homework 20%, Midterm I 20%, Midterm II 20%,
Final Exam 40%.
|
Textbook: | W. Rudin, Principles of Mathematical
Analysis, Third Edition. |
Readings | Reading the sections of the textbook
corresponding to
the assigned homework exercises is considered part of the homework
assignment. You are responsible for material in the assigned reading
whether or not it is discussed in the lecture. It will be expected that
you read the assigned material in advance of each lecture. |
Homework |
Homework problems will be assigned on the
course
homework
page. There will be 7 problem sets, due certain Wednesdays at 4:30PM
in
the TA's mailbox. You may work together with your classmates
on your
homework
and/or ask the TA (or myself) for
help on assigned homework problems. However, the work you turn in must be
your own. No late homework assignments will be accepted.
|
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Midterm Exams | There will be two midterm exams given
on April 24 and May 22. There will be no makeup
exams. |
Final Exam | The final examination will be held on
Friday, June 14, 11:30-2:30. There is no
make up final
examination. It is your responsability
to ensure that you do not have a schedule conflict during the final
examination; you should not enroll in this class if you cannot
sit for the final examination at its scheduled time. |
Announcements and
Dates |
- Monday, April 1: First lecture
- Wednesday, April 24: Midterm I
- Wednesday, May 22: Midterm II
- Monday, May 27: Memorial Day. No class
- Friday, June 7: Last Lecture
- Friday, June 14: FINAL EXAM, 11:30AM-2:30PM
pm
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Exams |
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Lecture Summaries | -
Lecture 1: Definition of the derivative. Differentiable functions are
continuous. Rules for differentiation.
- Lecture 2: Rules for differentiation. Local minima and
local maxima. Critical points. The generalized mean value theorems.
- Lecture 3: More on mean value theorem. Monotonic functions
and the derivative. Intermediate value property. Darboux functions.
- Lecture 4: The derivative is a Darboux
function. Discontinuities of Darboux functions. L'Hopital rule.
Applications of L'Hopital's rule.
- Lecture 5: Taylor's theorem. Smooth
functions, functions of class C^k, real analytic functions. Vector valued
functions. Mean value theorem for vector valued functions.
- Lecture 6: Integrability. Definition of Riemann integral and
Riemann-Stiltjes integral. Partitions. Upper and lower sums, upper and
lower
integrals.
- Lecture 7: Riemann's criterion for integrability.
Refinements of partitions and effects on upper and lower
sums. Integrability and continuity. Continuous functions are integrable.
- Lecture 8: More on integrability and continuity: discontinuous
functions at finitely many points are integrable. Composition of a
continuous function with an integrable function is integrable. Properties
of the integral.
- Lecture 9: Properties of the integral: sums and products.
Change of variables. Integration with respect to step functions. The
delta "function".
- Lecture 10: Series are particular cases of Riemann-Stiljes
integral. Relation between Riemann-Stiltjes integral and Riemann integral.
- Lecture 11: Relationship between integration and
differentiation. Fundamnetal theorem of calculus. Integration by
parts. Vector valued functions.
- Lecture 12: Sequences and series of functions. Pointwise
convergence. Pointwise limits do not behave well with respect
to continuity, derivatives,
integration.
- Lecture 13: Uniform convergence of sequences and series.
Examples. Cauchy criterion. Weierstrass M-test.
- Lecture 14: Uniform limit of continuous functions is
continuous. The space of continuous bounded functions in complete.
- Lecture 15: Uniform convergence and integration.
Term by term integration of series of functions.
- Lecture 16: Uniform convergence and differentiation. Example
of a function which is continuous but nowhere differentiable.
- Lecture 17: Compactness in spaces of functions. Equicontinuous
families. Statement of Arzela-Ascoli.
- Lecture 18: Connection between equicontinuity and uniform
convergence. Proof of Arzela-Ascoli.
- Lecture 19: Proof that every continuous function over a
compact interval can be uniformly approximated by polynomials.
- Lecture 20: Apporximating functions of several variables by
polynomials,
Fourier series, separation of variables. Algebras of functions, algebras
which separate points, self-adjoint algebras.
- Lecture 21: Stone-Weierstrass theorem and its proof. Real
and complex version.
- Lecture 22: Power series and analytic functions. Power series
can be differentiated term by term. Abel's theorem.
- Lecture 23: Exponential function. Definition and properties.
- Lecture 24: Trigonometric functions in terms of complex
exponential. Definition and
properties.
- Lecture 25: Trigonometric polynomials. Approximation of
continuous periodic functions by trigonometric polynomials. Fourier
coefficients.
- Lecture 26: Generalized Fourier coefficients. Least square
properties of Fourier partial sums. Bessel's inequality. L^2 norm and L^2
Hermitian
products.
- Lecture 27: Approximation of integrable functions by
trigonometric polynomials in L^2 norm. Fourier series converge to the
function in L^2 sense. Parseval's theorem.
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