


Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
An outline for the real analysis ii course offered by seattle pacific university during winter 2006. The course, taught by dr. Brian gill, covers the fundamentals of real analysis, including functions, cardinality, topology of the real line, and limits. Students are expected to master the real number system, understand the formal definition of a limit, and learn to write formal proofs. The course includes homework, quizzes, exploratory labs, and two exams.
Typology: Exams
1 / 4
This page cannot be seen from the preview
Don't miss anything!
Winter 2006
committed to engaging the culture and changing the world by graduating people of competence and character, becoming people of wisdom, and modeling grace-filled community. The mathematics department at Seattle Pacific University seeks to provide excellent instruction to enable our students to be competent in the mathematics required for their chosen fields, and to share our expertise with the community through service and leadership. Hence, common goals for students in mathematics courses include 1) becoming competent in the topics covered in the course, 2) demonstrating skills and attitudes which contribute to professional, ethical behavior, 3) the ability to communicate mathematically, in both written and verbal form, and 4) learning to appreciate the beauty and utility of mathematics.
analysis deals primarily with real-valued functions of real numbers; essentially it is the theory behind elementary calculus. This course provides an introduction to the topics of analysis: functions, cardinality, topology of the real line, and limits. The emphasis of the rest of the course will be on real numbers and the foundations of real analysis. We will define and construct the set of real numbers and study various properties of sets of real numbers. In addition, we will learn the precise, formal definition of a limit of a sequence of real numbers and study properties of these limits. These topics lay the foundation for a rigorous study of functions of a real variable, including limits, continuity, derivatives, and integrals.
Know and be able to work with basic properties of the real number system, including: o the completeness axiom and its consequences; and o basic topology of the real line, including open and closed sets and compactness. Know, understand, and be able to apply the following definitions and theorems:
o the algebraic and order limit theorems; o the monotone convergence theorem; o the Bolzano-Weierstrass theorem; o the Cauchy criterion;
o the intermediate value theorem; o the definitions of pointwise and uniform convergence of sequences of functions; o the formal definition of a derivative; and o the mean value theorem. Be able to write formal proofs relating to the topics listed above. Have an increased familiarity with and understanding of many topics first encountered in calculus, including basic properties of sequences, series, limits, continuity, and derivatives. Understand some of the historical reasons for replacing intuitive notions of limits with the precise modern definitions. In addition to the specific content oriented objectives above, this course will help you to: Sharpen your analytical and critical reasoning skills and improve your ability to express mathematical ideas with clarity and coherence. Attain a greater appreciation of the need for precise definitions, careful reasoning, and close argument in mathematics. Prepare for further upper division mathematics courses and greater abstraction. Finally, I hope that you will have fun accomplishing these objectives, even if the material is difficult and takes a lot of time and effort.
The software is available for your use in all of the open computer labs on campus. If you wish to use the software on your own computer, a downloadable student version of Maple can be purchased for $75 (details will be provided in class).
Attendance: Attendance will not be taken, but if you expect to succeed in this course, it is essential that you come to class every day. Unless you have an acceptable excuse and make special arrangements with me before class begins, missing an exam or quiz or failing to turn in an assignment on time will result in a grade of zero. Late homework will not be accepted for any reason, but if you have an acceptable excuse and contact me before class, I will drop the homework score. NOTE: Things such as oversleeping, lack of preparation, or sneezing twice are NOT acceptable excuses. Acceptable excuses include a death in your immediate family or a severe illness, and you are responsible for providing me with documentation of your excuse.
Homework: The only way to truly learn mathematics is to work as many exercises as possible. There will be homework assignments given virtually every class period which will be due at the next class meeting. Homework must be turned in by the time class starts on the day it is due; late homework will not be accepted for any reason. However, your lowest homework score will be dropped from your final grade. You are strongly encouraged to come to my office to ask me questions about the homework. You are also encouraged to work with other students on the homework, but unless otherwise indicated for a particular assignment, you must individually write up and turn in your own solutions. You are also required to list on your paper any other individuals that you worked with or that gave you assistance with the homework – failure to do so will be considered cheating (turning in someone else’s work as your own). Homework must be neat and easily readable or you will receive NO credit. You must show all of your work−a correct answer with no justification will also be worth NO credit.
Quizzes: There will be brief quizzes approximately once a week which will cover definitions, statements of theorems, and basic ideas from the course.
Exploratory Labs: There will be several labs during the course which ask you to explore basic concepts of real analysis. You will work on each lab with a small group of other students, and each group will prepare a written report on the lab. Most of the labs will require the use of computers and Maple.
Exams: There will be two exams, a midterm and a final. Both exams will be given in two parts: an in-class portion and a take- home portion. The in-class midterm is tentatively scheduled for Monday, February 6. The in-class final exam will be cumulative and will be given during the regularly scheduled final exam period (10:30-12:30 on Monday, March 13).
Course Grades: Grades will be determined by a weighted average of homework and quizzes (40% of the overall grade), lab reports (10%), the midterm (20%), and the final exam (30%). Course grades will be based on the following scale: 93-100% A 90-92% A- 87-89% B+ 83-86% B 80-82% B- 77-79% C+ 73-76% C 70-72% C- 67-69% D+ 60-66% D Below 60% E A grade of I (incomplete) is only given for non-academic reasons such as a severe illness that prevents you from completing the course. You must have a passing grade on the material that you have completed in order to receive an incomplete.
Academic Dishonesty: Academic dishonesty includes copying another’s work on an exam, preparing for an exam by using test questions from a stolen exam, bringing concealed answers to an exam, turning in another person’s work as your own, committing plagiarism, or assisting another student in cheating. The minimum penalty for cheating or plagiarism in any form will be a zero for the assignment or exam in question. In addition, all students have an obligation to make efforts to prevent other students from cheating and to report incidents of cheating or plagiarism. Further details regarding SPU’s academic dishonesty policies can be found on p. 44-45 of the 2005-2006 SPU Undergraduate Catalog.
pages and outside my office door. You are strongly encouraged to drop by my office to ask questions, discuss problems, and just to get to know me better. If you are unable to meet with me during my scheduled office hours, I am available at other times by appointment. I also maintain an “open door” policy at my office – any time that my door is open you are welcome to drop in to talk to me, even if it is not during my scheduled office hours.
The table below provides a tentative listing of topics that I plan to cover from the textbook. The exact dates on which we cover material will probably vary somewhat from this list. Also, topics may be added to or removed from this list at any time.
1/4 Brief review: the completeness axiom and limits of sequences (Sections 1.3, 1.4, and 2.2) 1/6 Maple Lab: Algebraic Combinations of Sequences 1/9 The Algebraic and Order Limit Theorems (Section 2.3) 1/11 Introduction to Infinite Series (2.1, 2.4) 1/13 Maple Lab: Conditions Related to Convergence 1/16 (^) No class – Martin Luther King Jr. Birthday 1/18 Subsequences and the Bolzano-Weierstrass Theorem (2.5) 1/20 The Cauchy criterion (2.6) 1/23 Properties of infinite series (2.7) 1/25 Maple Lab: Definitions of Continuity and the Limit of a Function 1/37 Open and Closed Sets (A. Section 3.2)
2/1 Compact Sets (A. Section 3.3) 2/3 Review/catch-up 2/6 (^) Midterm Exam 2/8 More on functional limits (4.2) 2/10 Combinations of continuous functions (4.3) 2/13 Continuous functions on compact sets (4.4) 2/15 The intermediate value theorem (4.5) 2/17 Introduction to the derivative (5.1, 5.2) 2/20 No class – Presidents’ Day 2/22 Derivatives and the intermediate value property (5.2) 2/24 More on derivatives (5.2) 2/27 The mean value theorem (5.3) 3/1 A continuous nowhere differentiable function (5.4) 3/3 Uniform convergence of a sequence of functions (6.2) 3/6 Uniform convergence and differentiation (6.3) 3/8 How should integration be defined? (7.1) 3/10 Review/wrap-up 3/13 Final Exam 10:30-12: