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File: Geometry Pdf 168088 | Syllabus
linear algebra and geometry textbook t apostol calculus vol i and ii wiley 1969 vol i chapetrs 12 13 14 15 16 vol ii chapters 3 4 5 syllabus standard ...

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                                               Advanced Calculus I: syllabus
                                                                     Charles Dapogny,
                                                                     webpage: http://www.math.rutgers.edu/~cd581/
                                                                     mail: cd581@math.rutgers.edu,
                                                                     Office: Hill Center, 716.
                                                                     Office hours: Wednesday, 15-16, Thursday, 9-10.
                  This course proposes an in-depth and rigorous discussion of the fundamental tools of real analysis and
               calculus, such as limits, sequences, continuity and differentiability of functions. The aim is to establish in
               a precise way the main notions, and to make the students familiar with mathematical reasoning (analyzing
               definitions, understanding and constructing proofs, etc...).
               The course is mainly based upon the following textbook:
                                                         th
               E.D. Gaughan, Introduction to Analysis, 5    edition, Brooks/Cole Publishing Co. ISBN: 0-534-35177-
               8; ISBN-13: 9780534351779, (2009).
               Personal work: Our section meets twice a week, namely on Tuesday and Thursday, from 6:10 p.m. to 7.30
               p.m. Prior to each lecture, the relevant sections in the textbook are suggested for reading, and the lecture
               emphasizes on the salient points of the topic.
                  A workshop session is organized by M. Balasubramanian, every Tuesday from 7.40 p.m. to 9.00 p.m.
               Students are asked to hand over a redaction of (a part of) their work during every session of the workshop.
                  Every Tuesday, a homework is assigned, focusing essentially on the material of the previous week’s lec-
               tures. The homework is collected during the lecture on the next Tuesday.
                  No late homework will be accepted, whatever the reason invoked.
               Grading policy: The final grade for this course is based upon points; the maximum number of points
               is 600 and the breakdown is as follows:
                     • 100 points for each of the two midterm exams,
                     • 200 points for the final exam,
                     • 100 points for the workshop sessions’ work,
                     • 100 points for the homeworks.
               From this number of points, a letter is eventually derived, by means of a cut-off yet to be decided.
                                                                1
                                Tentative schedule of the lectures
           I. Revisions from the course Math 300; preliminaries
           Lecture 1: Presentation of the course; introduction of the basic notions around sets: union, intersec-
           tion, inclusion, proving an equality between two sets.
           Lecture 2: Basic notions around relations and functions: definitions, composition, inverse, image of a
           relation / a function.
           Lecture 3: The induction principle and several of its variants; applications on several examples.
           Lecture 4: Equivalence between two sets, and the concept of countable sets; operations between count-
           able sets (Cartesian product, union, etc...).
           Lecture 5: Some facts around real numbers; lower and upper bound principles and density of rational
           numbers among real numbers.
           II. The fundamental objects of real analysis: sequences
           Lecture 6: The notions of sequence and of convergence of a sequence: definitions, examples; unicity of
           the limit of a sequence.
           Lecture 7: Cauchy sequences: definition, and connections with convergent sequences; definition of the
           notions of neighborhoods, accumulation points and the Bolzano-Weierstrass theorem.
           Lecture 8: Operations on sequences: sum, product, etc... and consequences on the limits; passing to
           the limit in inequalities; examples.
           Lecture 9: Subsequences and monotone sequences: definitions, properties, examples
           III. Limits of functions
           Lecture 10: Definition of the limit of a function at a point; examples.
           Lecture 11: No lecture! First midterm exam!
           Lecture 12: Connections and characterizations of the limits of functions with limits of sequences.
           Lecture 13: Behavior of the limits of functions with respect to operations: sums, products, etc... Handling
           limits of functions in inequalities.
           Lecture 14: Limits of monotone functions.
           IV. Continuity of functions
           Lecture 15: Notion of continuity of a function at a point; characterization in terms of limits; examples.
           Lecture 16: Operations over continuous functions: sum, product, composition, etc...
                                            2
           Lecture 17: Topological considerations: open, closed and compact sets; the Heine-Borel theorem.
           Lecture 18: Uniform continuity of functions; the Heine theorem.
           Lecture 19: Further properties of continuous functions: connections with open, closed, compact sets;
           the Bolzano theorem, and the intermediate-value theorem (I).
           Lecture 20: Further properties of continuous functions: connections with open, closed, compact sets;
           the Bolzano theorem, and the intermediate-value theorem (II).
           V. Differentiability of functions
           Lecture 21: Definition of the derivative of a function at a point; examples.
           Lecture 22: No lecture! Second midterm exam!
           Lecture 23: Behavior of the derivative with respect to operations on functions: sums, products, etc...
           Lecture 24: Rolle’s theorem and the Mean-Value theorem (I): applications and examples.
           Lecture 25: Rolle’s theorem and the Mean-Value theorem (II): applications and examples.
           Lecture 26: Further applications of the previous concepts: L’Hospital’s rule and the Inverse-Function
           theorem.
                                            3
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