Definition

A two-player game is a zero-sum game if for each pair of strategies (sI,sII)(s_I, s_{II}) one has

uI(sI,sII)+uII(sI,sII)=0u_I (s_I, s_{II}) + u_{II} (s_I, s_{II}) = 0

Notes

Assuming that the players have von Neumann-Morgenstern utilities, any player's utility function is only determined only up to a positive affine transformation.

Maxmin and minmax strategies

As payoffs satisfy uI+uII=0u_I + u_{II} = 0, we may focus on one function u1=uu_1 = u, uII=−uu_{II} = -u. Suppose player 1 (P1) seeks to maximize, and player 2 (P2) seeks to minimize (note: this convention is reversed in some textbooks).

Then, P1's maxmin value is given by

vI=maxsI∈SI⁡minsII∈SII⁡u(sI,sII)v_I = \max_{s_I \in S_I} \min_{s_{II} \in S_{II}} u(s_I, s_{II})

and P2's maxmin value is

vII=minsII∈SII⁡maxsI∈SI⁡u(sI,sII)v_{II} = \min_{s_{II} \in S_{II}} \max_{s_I \in S_I} u(s_I, s_{II})

Security level and security strategy

See theorem, security levels of matrix game players

mini⁡aij∗=V(A)≤V(A)=maxj⁡ai∗j\min_i a_{ij^*} = \underline{V}(A) \leq \overline{V}(A) = \max_j a_{i^* j}

Finite two-person zero-sum game

Game where

  • player set: N={1,2}N = \{1,2\}
  • action set AiA_i for player ii: a=(a1,a2)∈A=A1×A2a = (a_1, a_2) \in A = A_1 \times A_2, A1A_1 and A2A_2 are finite sets
  • utility function (or payoff function) for player ii:
    • ui:A↦ℝu_i: A \mapsto \mathbb{R}
    • u=(u1,u2)u = (u_1, u_2) such that u1(a)+u2(a)=0u_1(a) + u_2(a) = 0 for all a∈Aa \in A

Notes

It is a zero-sum game and a game of pure competition


References

  1. M. Maschler, E. Solan, and Shmuel Zamir, Game Theory, Cambridge University Press, 2013, pp. 111-116.
  2. T. Başar and G.J. Olsder, Dynamic Noncooperative Game Theory, 2nd edition, Classics in Applied Mathematics, SIAM, Philadelphia, 1999.
  3. https://bpb-us-e1.wpmucdn.com/wp.nyu.edu/dist/5/2123/files/2019/12/Lecture-2-Scribe.pdf