mathematics for economists econ 5201 fall 2015 syllabus course
TRANSCRIPT
Yeshiva University M.Q.E.
Mathematics for Economists
ECON 5201
Fall 2015
Syllabus
Course Objectives
This course covers some basic mathematical techniques for economists. It focuses on the theory and
applications of optimization in both static and dynamic settings. It also introduces fixed point theorems that
are fundamental for general equilibrium analysis and game theory models with multiple decision-makers.
Detailed topics
Part 1. Static Optimization Theory
1.1 Review of optimization problems with equality constraints, and introduction of optimization
problems with inequality constraints
1.2 Convexity, separation theorems and the Farkas Lemma
1.3 Kuhn-Tucker theory for optimization problems with inequality constraints
1.4 Convex optimization problems
Part 2. Comparative Statics of Static Optimization Theory
and Dynamic Optimization Theory
2.1 Elementary set topology, continuity properties of correspondences
2.2 Correspondences
2.3 Comparative statics of optimal solutions
2.4 Basics of dynamic programming
2.5 Calculus of Variation, Optimal Control, and Pontryagin’s principle
Part 3. Fixed Point Theorems
3.1 Fixed point theorems
Course materials and textbooks
Handouts are distributed in class. The following textbooks are only recommended, and referenced in class:
S. Sundaram, A First Course in Optimization Theory, 1996– edition 1– ISBN 0521497701
The Master of Science in Quantitative Economics
L. Simon and L. Blume, Mathematics for Economists, 1994 – edition 1– ISBN 0393957330
N. Stokey and R. Lucas, Recursive Methods in Economic Dynamics, 1989 – edition 1– ISBN 0674750969
Prerequisites
Multivariate calculus.
Grading
Homework assignments 30%
Midterm Exam 30%
Final exam 40%
Administrative details
Dr. Ran Shao
Classroom: 215 Lexington Ave., Room 506
Class time: TR 9:00 – 10:15 am
Phone: 917-326-4815
E-mail: [email protected]
Office: 215 Lex. RM 717C
Office hour: Mon. 10:30am – 11:30am, or by appointment
Schedule (Tentative)
Class 1&2: Introduction & Optimization Problem with Equality Constraints
Class 3&4: The Kuhn-Tucker Theory& Convexity, separation theorems
Class 5&6: The Proof of the Kuhn-Tucker Theorem& Convex Optimization Problems
Class 7&8: Convex Optimization Problems& Quiz 1
Class 9&10: Basic Topology of Real Line and Euclidean Space
Class 11&12: Basic Topology, Continuous Functions and the Weierstrass Theorem
Class 13&14: Correspondence, Comparative Statics of Optimal Solutions
Class 15&16: Basics of Dynamic Programming & Quiz 2
Class 17&18: Calculus of Variation, Optimal Control
Class 19&20: Optimal Control, and Pontryagin’s principle
Class 21&22: Fixed Point Theorems
Class 23&24: Fixed Point Theorems
Class 25&26: Review & Final Exam