Game Theory: Lecture Notes

Two graphs, one a phase portrait and one a stylized evolutionary diagram for a 'rock, paper, scissors' game

Credit: Image adapted from figures by Christopher Griffin and is licensed under CC BY-NC-SA 3.0 US

Resource Description

This is version two of a set of lecture notes for MATH 486, Penn State's undergraduate Game Theory course. Game Theory is the study of decision making under competition. The first truly mathematical study of Game Theory was initiated by Von Neumann and Morgenstern. John Nash (of A Beautiful Mind fame) added substantially to the field with his proof of the existence of equilibrium solutions for general sum games. Since then many mathematicians, economists, engineers and others have made substantial contributions to the study of games.

The lecture notes are loosely based on Luce and Raiffa's Games and Decisions: Introduction and Critical Survey. This is the same book John Nash used when he taught (or so I've heard). There are elements from Myerson's book on Game Theory (more appropriate for economists) as well as Morris' book on Game Theory. Naturally, I've also included elements from Von Neuman and Morgenstern's classic tome.

This set of notes tries to present the material in a format for that can be used easily in an undergraduate mathematics class. Many of the proofs in this set of notes are adapted from the textbooks with some minor additions. One thing that is included in these notes is a treatment of the use of quadratic programs in general sum games two player games. This does not appear in many textbooks. Also treating Nash Bargaining as a multi-objective optimization problem is somewhat novel here.

Course Number

MATH 486

License

CC BY-NC-SA 3.0 US

View E-Book

View the e-book in a new tab: .pdf

Download Source Files

Download the resource's source files here: .zip (23.98 MB)

Christopher Griffin

Photograph of author Christopher Griffin

I am a Research Professor at the Applied Research Laboratory (ARL) at Penn State. In the broadest possible sense, my work is in applied math. Some of my work is on applied statistics on (real-world) dynamical systems.

Learn more