MAT 288E  Real Analysis I
Course Objectives
1. To teach the student the techniques and methods of Mathematical Analysis and to allow the student to develop a certain level of proficiency in these methods.
2. To teach students to use the basic concepts they learned in Calculus classes in a mathematically rigourous way.
Course Description
Real numbers. Normed vector spaces. Finite dimensional real vector spaces. Young’s, Hölder’s and Minkowski’s inequalities. Metric spaces. Sequences in metric spaces. Convergence and boundedness. Cauchy sequences and completeness. Topology of Metric spaces: open and closed sets. Compactness. HeineBorel Theorem. Real valued continuous functions on metric spaces and their metric structure. Continuity and uniform continuity. Lipschitz continuity. Derivatives. Normed spaces C^k[a,b], \ell^p and L^p and their duals. Hilbert spaces. Sequences and series of real valued functions on metric spaces. The StoneWeierstrass Theorem. Pointwise and uniform convergence. Cauchy criterion for uniform convergence. The Arzelà–Ascoli Theorem. Weierstrass Mtest.


Course Coordinator
Atabey Kaygun
Course Language
English


