SAN JOSÉ STATE UNIVERSITY
ECONOMICS DEPARTMENT
Fall 2000
Thayer Watkins
Office: DMH 214
Hours:MTWR 1330-1430

ECONOMICS 104
MATHEMATICAL METHODS FOR ECONOMISTS
Prerequisite: Introductory courses in algebra and calculus
Website: http://arachne.sjsu.edu:8900

Login Instructions:

Textbooks: Michael Klein, Fundamental Methods of Mathematical Economics

Course Content: The course starts with a review of mathematical fundamentals of set theory, functions and algebra and introduces the concept of relation. The notions of modeling in economics are also covered in the first phases of the course. From there the course goes on to linear models, vectors and matrices. While linear models are extremely useful in economics there are some economics matters which are inherently nonlinear. This leads to the concept of the derivative of a function and the concept of limits. After reviewing these concepts the course then covers the matter of finding the maximum or minimum of functions. First the matter of the unconstrained maxima and minima are covered but the essential concept of economics is the matter of constrained maximization or minimization. This is the mathematical concept involved in optimization. Following the material on optimization there is a brief section on integration. The last section of the course deals the dynamics of economic systems, the way they change over time. The mathematical topics involved with analyzing the dynamics of systems are difference equations and differential equations.

Grading: Grades will be based upon homework, two midterm examinations, and a final examination with weights of approximately 15:25:25:35.

Course Structure:

WEEK TOPIC READINGHOMEWORK
ASSIGNMENT
1 Economics and Modeling Klein
Chs. 1&2
#2.1(2,4,6,8)
2 Functions Klein Ch. 2#2.2(2,4), #2.3(2,3,4,6)
3Logarithm & Exponential Functions Klein Ch.3 #3.1(3-8), #3.2(3,4,5,9,10)
4Linear Equilibrium
Models and Matrices
Klein Ch. 4 #4.1(1,2,4,5), #4.2(1(a,b),2,4,8,10), #4.3(1,4,5), #4.4(2,3,4)
5 Matrix Models and
General Equilibrium
Klein Ch 5 & Koopmans 1.1-1.4 #5.1(1,2,6), #5.2(1,2,3), #5.3(1,2)
First Midterm Examination
6 Differential CalculusKlein Ch 6 #6.2(1,2,3,4,7), #6.3(1,2,3,4,7,8), #6.4(1,2,3,4)
7 Derivatives Klein Ch. 7 #7.1(1,2,4,5,6), #7.2(1,2,3), #7.3(1,2,3,4,6)
8 Partial Derivatives Klein Ch. 8 #8.2(1(a,b,c),2(a,b,c),6), #8.3(1(a),2(a),4,6)
9 Extreme Values
Univariate Functions
Klein Ch. 9 #9.1((1(a,b,c),2(a,b,c),3,4,8), #9.2(2,3,4,5)
10Extreme Values
Multivariate Functions
Klein Ch 10 #10.1(1(a),2(a,b),4(a,b),5), #10.2(1(a),2(a,b)), #10.3(1)
11Constrained Optimization Klein Ch 11 #11.1(2,3), #11.2(1,2,3,4), #11.3(1,2,4,5),#11.4(2,4)
Second Midterm Examination
12Integral Calculus Klein Ch 12 #12.1(3,4), #12.2(1(a,b,c),2(a,b,c),7), #12.3(2,3)
13 Dynamics Klein Ch. 13 #13.1(1,2,3,4), #13.2(1,2), #13.3(1,2,3)
14 Differential Equations Klein Ch14 #14.1(1,2,3,4), #14.2(1,2), #14.3(1)
15Dynamic Optimization Klein Ch15 #15.1(1,2,3), #15.2(1,2), #15.3(1)
Final Examination