CRN 16078

From Classes
(Difference between revisions)
Jump to: navigation, search
(Created page with "===Syllabus=== * right '''Time and Place.''' TR 17:00-18:20, LART 308 * '''Instructor.''' Helmut Knaust, Bell Hall 219, hknaust@utep.edu, 747-7002 * '''O...")
 
(Materials)
 
(25 intermediate revisions by one user not shown)
Line 8: Line 8:
 
* '''Textbook. ''' Jerrold E. Marsden & Michael J. Hoffman, ''Elementary Classical Analysis'', 2nd ed., W.H. Freeman and Co., New York.
 
* '''Textbook. ''' Jerrold E. Marsden & Michael J. Hoffman, ''Elementary Classical Analysis'', 2nd ed., W.H. Freeman and Co., New York.
  
* '''Prerequisites.''' MATH 3341 (Introduction to Analysis), or equivalent. The prerequisite material can be found for instance in: Edward D. Gaughan, ''Introduction to Analysis'', 5th ed., Ch. 0-5.
+
* '''Prerequisites.''' MATH 3341 (Introduction to Analysis), or equivalent. The prerequisite material can be found for instance in: Edward D. Gaughan, ''Introduction to Analysis'', American Mathematical Society; 5th revised edition, Ch. 0-5.
  
 
* '''Course Content.''' We will study the concept of a ''metric space''. The rational numbers are dense in the set of real numbers: for every real number we can find a rational number arbitrarily close. If we want to consider the related question, whether and in what sense polynomials are dense in the set of continuous functions, we are naturally led to the general concept of the ''distance'' between two mathematical objects. A set with a distance function is called a metric space. In the first part of the course, you will learn about basic properties metric spaces might have, such as compactness, completeness and connectedness. As one of the most important examples of metric spaces we will then study the space of continuous functions with its notion of uniform convergence. One of the highlights of the course will be the proof of the Stone-Weierstrass-Theorem, which generalizes the result about polynomials mentioned above.
 
* '''Course Content.''' We will study the concept of a ''metric space''. The rational numbers are dense in the set of real numbers: for every real number we can find a rational number arbitrarily close. If we want to consider the related question, whether and in what sense polynomials are dense in the set of continuous functions, we are naturally led to the general concept of the ''distance'' between two mathematical objects. A set with a distance function is called a metric space. In the first part of the course, you will learn about basic properties metric spaces might have, such as compactness, completeness and connectedness. As one of the most important examples of metric spaces we will then study the space of continuous functions with its notion of uniform convergence. One of the highlights of the course will be the proof of the Stone-Weierstrass-Theorem, which generalizes the result about polynomials mentioned above.
  
* '''In-class Presentations.'''  Mathematics is not a spectator sport. While I will lecture for a good portion of class time, I will regularly call on students to give presentations of results in the textbook they have prepared at home. Your chances of passing the course without spending a significant amount of time on preparing in-class presentations are limited: Your in-class work will account for 20% of your grade.  
+
* [[image:Weier.gif|right|frame|Uniform approximation of a continuous function on a closed bounded interval by polynomials]] '''Homework.'''  You will be regularly assigned written homework problems, which will be spot-graded. Graduate students will be required to work on some extra problems. Your homework grade will contribute 15% towards your grade.
  
* [[image:Weier.gif|right|frame|Uniform approximation of a continuous function on a closed interval by polynomials]] '''Homework.'''  You will be regularly assigned written homework problems, which will be graded. Graduate students will be required to work on some extra problems. Your homework grade will contribute 25% towards your grade.
+
* '''Tests.''' The two midterms will take place on '''Tuesday, October 2''' and '''Thursday, November 8''', respectively. The final on '''Tuesday, December 11, 16:00-18:45''', is mandatory and comprehensive. The midterm exams will each count 25%, and the final 35%.
 
+
* '''Tests.''' The midterm will take place on '''Tuesday, October 13'''. The final on '''Tuesday, December 8, 16:00-18:45''', is mandatory and comprehensive. The exams will count 25% and 30%, respectively.
+
  
 
* '''Time Requirement.''' I expect that you spend an absolute minimum of six hours a week outside of class on reading the textbook, preparing for the next class, reviewing your class notes, and completing homework assignments. Not surprisingly, it has been my experience that there is a strong correlation between class grade and study time.
 
* '''Time Requirement.''' I expect that you spend an absolute minimum of six hours a week outside of class on reading the textbook, preparing for the next class, reviewing your class notes, and completing homework assignments. Not surprisingly, it has been my experience that there is a strong correlation between class grade and study time.
  
* '''Attendance.''' You are strongly encouraged to attend class. Students with five absences (excused or unexcused) will be dropped from the course with a grade of "F".
+
* '''Attendance.''' You are strongly encouraged to attend class. Students with six absences (excused or unexcused) will be dropped from the course with a grade of "F".
 
+
* '''Drop Policy.''' The class schedule lists Friday, October 30, as the last day to drop with an automatic "W". After the deadline, I can only drop you from the course with a grade of "F".  
+
  
* '''Students with Disabilities.''' If you have a disability and need special accommodation, please contact the Disabled Student Services Office (DSSO) in Union East 106, 747-5148, [mailto:dss@utep.edu dss@utep.edu].
+
* '''Drop Policy.''' The class schedule lists Friday, November 2, as the last day to drop with an automatic "W". After the deadline, I can only drop you from the course with a grade of "F".  
  
* '''Academic Integrity.''' All students must abide by UTEP's academic integrity policies, see http://academics.utep.edu/Default.aspx?tabid=23785 for details.
+
* '''Students with Disabilities.''' If you have a disability and need classroom accommodations, please contact  The Center for Accommodations and Support Services (CASS) at 747-5148, or by email to [mailto:cass@utep.edu cass@utep.edu], or visit their office located in  UTEP Union East, Room 106.  For additional information, please visit the CASS website at [https://www.utep.edu/student-affairs/cass/ www.utep.edu/student-affairs/cass/].
  
===Homework===
+
* '''Academic Integrity.''' All students must abide by UTEP's academic integrity policies, see the Academic Integrity and Scholastic Dishonesty section of the website of the Office for Student Conduct and Conflict Resolution at [https://www.utep.edu/student-affairs/osccr/student-conduct/academic-integrity.html www.utep.edu/student-affairs/osccr/]. Please note that you may not leave the classroom during an exam.
* 11/17/09: Read 5.6,5.7
+
* 11/10/09: Read 5.1-5.4. Prepare pp.255-259.
+
* 10/27/09: Read 4.4-4.7.
+
* 10/22/09: Read 4.3-4.5. Prepare 4.3.2iii+
+
* 10/20/09: Read 4.2-4.4. Prepare 4.2-4.3.
+
* 10/15/09: Read 4.2-4.4. Prepare 4.2-4.3.
+
* 10/13/09: Midterm exam
+
* 10/12/09: Extra office hours 10:00-12:00, 14:00-17:00
+
* 10/8/09: Read 4.1-4.3. Prepare 4.2-4.3.
+
* 10/6/09: Read 4.1-4.3. Prepare 4.2-4.3.
+
* 10/1/09: Read 4.1-4.3. Prepare 4.2-4.3.
+
* 9/29/09: Read 3.4-3.5.
+
* 9/24/09: Read 3.3-3.4.
+
* 9/22/09: Read 3.1-3.2.
+
* 9/17/09: Read 3.1-3.2.
+
* 9/15/09: Prepare 2.9 (<math>\geq</math>2.9.4.iv)
+
* 9/10/09: Prepare 2.9.
+
* 9/8/09: Read 2.7-2.9. Prepare 2.9.
+
* 9/3/09: Read 2.6-2.9. Prepare 2.6.
+
* 9/1/09: Read 2.5-2.9. Prepare 2.5 and 2.6.
+
* 8/27/09: Read 2.1-2.6. Prepare 2.5 and 2.6.
+
* 8/25/09: Read 1.5-1.7, 2.1-2.2.
+
  
 
===Written Homework===
 
===Written Homework===
*[http://helmut.knaust.info/class/201010_5321/HW07.pdf Homework 7] | [http://helmut.knaust.info/class/201010_5321/HW06.pdf Homework 6] | [http://helmut.knaust.info/class/201010_5321/HW05.pdf Homework 5] | [http://helmut.knaust.info/class/201010_5321/HW04.pdf Homework 4] | [http://helmut.knaust.info/class/201010_5321/HW03.pdf Homework 3] | [http://helmut.knaust.info/class/201010_5321/HW02.pdf Homework 2] | [http://helmut.knaust.info/class/201010_5321/HW01.pdf Homework 1]
+
*[http://helmut.knaust.info/class/201910_4341/HW07.pdf Homework 7, due 12/4] | [http://helmut.knaust.info/class/201910_4341/HW06.pdf Homework 6, due 11/6] | [http://helmut.knaust.info/class/201910_4341/HW05.pdf Homework 5, due 10/25] | [http://helmut.knaust.info/class/201910_4341/HW04.pdf Homework 4, due 10/16] | [http://helmut.knaust.info/class/201910_4341/HW03.pdf Homework 3, due 9/27] | [http://helmut.knaust.info/class/201910_4341/HW02.pdf Homework 2, due 9/20] | [http://helmut.knaust.info/class/201910_4341/HW01.pdf Homework 1, due 9/11]
  
 
===Materials===
 
===Materials===
*[http://helmut.knaust.info/oldclass/004_5321/practice.pdf Practice Exam I] | [http://helmut.knaust.info/class/201010_5321/Midtermprac.pdf Practice Exam II]
+
* [https://www.jstor.org/stable/2301999 A simple continuous function with a finite derivative at no point], by T.H. Hildebrandt (1933) | [http://helmut.knaust.info/class/201910_4341/EulerBL.nb Euler's Broken Line (Mathematica)] | [http://web.stanford.edu/~jluk/math63CMspring17/Existence.170408.pdf Notes on Existence and Uniqueness Theorems for ODEs], by Jonathan Luk. | [http://helmut.knaust.info/class/201910_4341/NoDiff.nb A nowhere differentiable continuous function (Mathematica)] | [http://helmut.knaust.info/class/201910_4341/FTALang.pdf D'Alembert's proof of the Fundamental Theorem of Algebra], by Serge Lang | [http://helmut.knaust.info/class/201510_3341/Check_and_Greek.pdf How to Check Proofs, etc.] | [http://www.cds.caltech.edu/~marsden/volume/eca/2000/ECA_errata_10-16-00.pdf Errata for early printings of the second edition of the textbook] | [http://helmut.knaust.info/class/201910_4341/Errata10.pdf Errata for late printings of the second edition of the textbook]
*[http://helmut.knaust.info/class/201010_5321/Weierstrass.nb Weierstrass.nb] | [http://helmut.knaust.info/class/201010_5321/2-Separation.nb 2-Separation in the space of continuous functions on the unit interval] | [http://helmut.knaust.info/class/201010_5321/CantorFunction.nb CantorFunction.nb]
+
*[http://www.cds.caltech.edu/~marsden/volume/eca/2000/ECA_errata_10-16-00.pdf Errata for the textbook]
+

Latest revision as of 15:07, 6 December 2018

[edit] Syllabus

  • MaHo.jpg
    Time and Place. TR 17:00-18:20, LART 308
  • Instructor. Helmut Knaust, Bell Hall 219, hknaust@utep.edu, 747-7002
  • Office Hours. TR 15:00-16:20, or by appointment.
  • Textbook. Jerrold E. Marsden & Michael J. Hoffman, Elementary Classical Analysis, 2nd ed., W.H. Freeman and Co., New York.
  • Prerequisites. MATH 3341 (Introduction to Analysis), or equivalent. The prerequisite material can be found for instance in: Edward D. Gaughan, Introduction to Analysis, American Mathematical Society; 5th revised edition, Ch. 0-5.
  • Course Content. We will study the concept of a metric space. The rational numbers are dense in the set of real numbers: for every real number we can find a rational number arbitrarily close. If we want to consider the related question, whether and in what sense polynomials are dense in the set of continuous functions, we are naturally led to the general concept of the distance between two mathematical objects. A set with a distance function is called a metric space. In the first part of the course, you will learn about basic properties metric spaces might have, such as compactness, completeness and connectedness. As one of the most important examples of metric spaces we will then study the space of continuous functions with its notion of uniform convergence. One of the highlights of the course will be the proof of the Stone-Weierstrass-Theorem, which generalizes the result about polynomials mentioned above.
  • Uniform approximation of a continuous function on a closed bounded interval by polynomials
    Homework. You will be regularly assigned written homework problems, which will be spot-graded. Graduate students will be required to work on some extra problems. Your homework grade will contribute 15% towards your grade.
  • Tests. The two midterms will take place on Tuesday, October 2 and Thursday, November 8, respectively. The final on Tuesday, December 11, 16:00-18:45, is mandatory and comprehensive. The midterm exams will each count 25%, and the final 35%.
  • Time Requirement. I expect that you spend an absolute minimum of six hours a week outside of class on reading the textbook, preparing for the next class, reviewing your class notes, and completing homework assignments. Not surprisingly, it has been my experience that there is a strong correlation between class grade and study time.
  • Attendance. You are strongly encouraged to attend class. Students with six absences (excused or unexcused) will be dropped from the course with a grade of "F".
  • Drop Policy. The class schedule lists Friday, November 2, as the last day to drop with an automatic "W". After the deadline, I can only drop you from the course with a grade of "F".
  • Students with Disabilities. If you have a disability and need classroom accommodations, please contact The Center for Accommodations and Support Services (CASS) at 747-5148, or by email to cass@utep.edu, or visit their office located in UTEP Union East, Room 106. For additional information, please visit the CASS website at www.utep.edu/student-affairs/cass/.
  • Academic Integrity. All students must abide by UTEP's academic integrity policies, see the Academic Integrity and Scholastic Dishonesty section of the website of the Office for Student Conduct and Conflict Resolution at www.utep.edu/student-affairs/osccr/. Please note that you may not leave the classroom during an exam.

[edit] Written Homework

[edit] Materials

Personal tools
Namespaces

Variants
Actions
Navigation
Toolbox