Exercise 64.2 in Osborne and Rubinstein’s Course in Game Theory asks:
Show that in a finite strategic game any mixed strategy of a player that is not weakly dominated is a best response to a belief that assigns positive probability to every vector of actions of the other players.
The question also gives a hint following which leads to a solution that make the authors’ solution manual itself remark “This exercise is difficult”.
In this post I want to show that this problem becomes quite easy if one makes use of a ‘Theorem of the Alternative’. Theorems of the alternative present two sets of linear equations or inequalities and claim that of the two exactly one has a solution. They have a geometric interpretation in terms of our ability to separate different convex sets. However, since the convex sets being considered are defined by a finite number of equations and/or inequalities these theorems have simple inductive proofs, unlike the more powerful separating hyperplane theorem.
A very good resource for theorems of the alternatives is Mangasarian’s Nonlinear Programming. For our problem we pick the following:
Tucker’s Theorem of the Alternative
Let , and be given matrices, with being nonvacuous. Then either has a solution , or, has a solution , , but never both.
This is Theorem 2.4.3 in Mangasarian’s book.
The vector inequalities used above have the following meanings:
The Solution
Now we are in a position to solve Osborne and Rubinstein’s problem, which was:
Show that in a finite strategic game any mixed strategy of a player that is not weakly dominated is a best response to a belief that assigns positive probability to every vector of actions of the other players.
Let be the mixed strategy of player that we are trying to justify. We define the matrix as follows: where ranges over all actions of player with being the -th action and ranges over all tuples of actions of players other than and is the -th such tuple.
Let denote the identity matrix.
Since is not weakly dominated, the system cannot have a solution. The proof is by contradiction. Since we have for all . Since we have . Define We can interpret as a vector of probabilities. From $\eqref{eq:nweakly}$ and the definition of it follows that . Expanding this using the definition of above we see that this means that the mixed strategy for player given by weakly dominates the mixed strategy , something which we have ruled out by assumption.
Now we apply Tucker’s Theorem of the Alternative with as defined, and vacuous, to conclude that the system does have a solution.
Since is an identity matrix and it follows from the equation above that We define Then can be seen as a probability distribution that assigns positive probability to each outcome (since ). From $\eqref{eq:byleq}$ we have by linearity, Expanding this using our definition of we see that this shows that is a best response to the belief that the tuple of opponents’ actions occurs with probability . Hence Exercise 64.2 is solved.
One caveat. When the number of players is three or more, the beliefs given by may imply correlation among the actions of different opponents. Everything is fine as far as the exercise is concerned since Osborne and Rubinstein allow such correlated beliefs, but this convention is not universal in the literature.