Graph continuous function explained

In mathematics, and in particular the study of game theory, a function is graph continuous if it exhibits the following properties. The concept was originally defined by Partha Dasgupta and Eric Maskin in 1986 and is a version of continuity that finds application in the study of continuous games.

Notation and preliminaries

Consider a game with

N

agents with agent

i

having strategy

Ai\subseteqR

; write

a

for an N-tuple of actions (i.e.
NA
a\in\prod
j
) and

a-i=(a1,a2,\ldots,ai-1,ai+1,\ldots,aN)

as the vector of all agents' actions apart from agent

i

.

Let

Ui:Ai\longrightarrowR

be the payoff function for agent

i

.

A game is defined as

[(Ai,Ui);i=1,\ldots,N]

.

Definition

Function

Ui:A\longrightarrowR

is graph continuous if for all

a\inA

there exists a function

Fi:A-i\longrightarrowAi

such that

Ui(Fi(a-i),a-i)

is continuous at

a-i

.

Dasgupta and Maskin named this property "graph continuity" because, if one plots a graph of a player's payoff as a function of his own strategy (keeping the other players' strategies fixed), then a graph-continuous payoff function will result in this graph changing continuously as one varies the strategies of the other players.

The property is interesting in view of the following theorem.

If, for

1\leqi\leqN

,
m
A
i\subseteqR
is non-empty, convex, and compact; and if

Ui:A\longrightarrowR

is quasi-concave in

ai

, upper semi-continuous in

a

, and graph continuous, then the game

[(Ai,Ui);i=1,\ldots,N]

possesses a pure strategy Nash equilibrium.

References