This class is cross-listed as:
Textbook:
Analysis I - Second Edition,
by Terence Tao. Text and Readings in Mathematics 37.
Hindustan Book Agency 2009 (required).
Here you will find the first four chapter of Tao's book in
pdf format
pdf file.
Terence Tao is an exceptional mathematician who has earned almost all possible awards a mathematician
can get, including the 2006 Fields
Medal (the equivalent of a Nobel Price in Mathematics). He also cares deeply about teaching,
and this book is an example of that. Here is a link to his
webpage,
see also recent New York Times
article about Tao.
There are many other excellent introductory analysis books. Reading from other
sources is always very valuable. For example: Calculus
by Spivak, 4th edition Publish or Perish, 2008, or The Way of Analysis
by Robert Strichartz, Jones & Bartlett Publishers, Revised Edition, 2000.
For a non-standard book, but a very lively one, full of historical anecdotes, see
A radical approach to real analysis by D. M. Bressoud.
Course Structure: Tuesdays and Thursdays will be devoted to lecturing on new material and occasional quizes. The additional hour on Wednesdays will be conducted by Steven Kao our Teaching Assistant, and will be used for problem solving and review of the material.
Course content: This is a first course in analysis. We will cover the fundamentals of calculus in one variable, starting with the construction of the real numbers, sequences of numbers and working our way through the concepts of limits, functions, continuity and basic properties of functions, we will then study carefully the theory of differentiation and integration. Basic calculus is a prerequisite, it provides you with computational skills and some intuition. Prior experience with abstractions and proofs will be helpful (for example exposure to at least one of Math 306, 317, 318, 319, 321, 322 or 327 will provide such experience). However we do not expect the students to be able to read, understand, and actually construct mathematical proofs at the begining of the course, although most of you have probably been already exposed to this. A great amount of time will be devoted to learn and practice logical thinking. At the end of the course we expect the students to have adquired the basic skills of mathematical reasoning, and a deeper understanding of calculus.
Homework: The problems and exercises in the textbook are an integral part of the course. You should attempt most of them. Homework will be assigned periodically, the problems in the homework will be carefully graded, and returned to you with feedback that will help you correct any errors. The highlights of the solutions will be discussed in the Wednesday session. You are encouraged to discuss the homework with each other, but you should do the writing separately. You learn mathematics by doing, and there is no way around this. It is not enough to see your teacher or your friends solving problems, you have to try it yourself. Difficult as it may seem at the beginning, if you persist you will learn how to write a proper mathematical proof, you will learn how to read and understand other's proofs, and you will learn to appreciate and enjoy the beauty of an elegant argument.
Exams: There will be two midterms during weeks 6 and 12, and a final exam.
Grades: The final grade will be determined by your performance on homeworks/quizes, midterms, and a final exam. The grading policies will be discussed in class.
Prerequisites: Basic calculus: Math 162-163 and Math 264. (or permission from the instructor).
Accomodation Statement Accessibility Services (Mesa Vista Hall 20121, 277-3506) provides academic support to students who have dissabilities. If you think you need alternative accesible formats for undertaking and completing coursework, you should contact this service right away to assure your needs are met in a timely manner. If you need local assistance in contacting Accessibility Services, see the Bachelor and Graduate Programs office.
Academic Integrity The University of New Mexico believes that academic honesty is a foundation principle for personal and academic development. All university policies regarding academic honesty apply to this course. Academic dishonesty includes, but is not limited to, cheating or copying, plagiarism (claiming credit for the words or works of another from any type of source such as print, Internet or electronic database, or failing to cite the source), fabricating information or citations, facilitating acts of academic dishonesty by others, having unauthorized possession of examinations, submitting work of another person or work previously used without informing the instructor, or tampering with the academic work of other students. The University's full statement on academic honesty and the consequences for failure to comply is available in the college catalog and in the Pathfinder.
Return to: Department of Mathematics and Statistics, University of New Mexico
Last updated: January 13, 2016