# Math Camp 2019

<< Go back to Homepage## Overview

The Math Camp introduces mathematical tools that are necessary for the first year PhD courses in Economics. Basic principles in analysis and optimization theory will be covered. This is also the first part of a two-course sequence on Math for Economics PhD students. ECO 385D (Math for Economists) will be offered in the Fall semester.

## Textbooks

The following text will be followed:

An Introduction to Mathematical Analysis for Economics Theory and Econometrics, by Corbae, Stinchcombe and Zeman (Princeton University Press, 2009)

A First Course in Optimization Theory, by Sundaram (Cambridge University Press, 1996)

Additional useful text include:

Mathematics for Economists, by Simon and Blume (1994)

Microeconomic Theory, by Mas-Colell, Whinston and Green (Oxford University Press, 1995)

Recursive Methods in Economic Dynamics, by Stokey and Lucas (Harvard University Press, 1989)

Occasional lecture notes and readings will also be shared as the course proceeds.

## Course outline

The following topics will be covered. The textbook chapters in the parentheses are only suggestive, and only a subset of topics in the textbooks will be covered.

Preliminaries (CSZ Ch. 1-3)

Logic

Set theory

Binary relations (example: preference)

Tarski’s fixed point theorem

Binary operations, rings, fields, real numbers

Static optimization (RS Ch. 2-6, Appendix of MWG)

Convexity (CSZ Ch. 5)

Separation Theorems and Unconstrained optimization

Constrained optimization (Lagrange multiplier method and Kuhn-Tucker method)

Quasi-Concavity in optimization

Supermodularity and monotone comparative statics

Theorem of Maxima and Envelope Theorem

Topological and metric spaces (CSZ Ch. 4-6, 10)

Metric spaces

Topological spaces

Convergence

Continuity of functions and correspondences

Compactness

Fixed point theorems

Normed linear spaces (CSZ Ch. 4-6, 10)

Normed linear spaces and Banach spaces

Bounded linear operators and dual spaces

Finite dimensional NLS

Lebesgue spaces

Hann-Banach theorem and separation theorems

Alaoglu theorem, weak and weak-* topology

Modes of convergence of random variables (if time permits)

Dynamic programming (SL Ch. 1-5 (selected topics))

Introductory Macro examples and preliminaries

Deterministic Models (Both Finite and Infinite Horizon Problem)

Characterization of policy function

Applications of DPP under certainty

Continuous time problems (if time permits)