Game Theory with Applications to Finance and Marketing
Game Theory with Applications to Finance and Marketing
Game Theory with Applications to Finance and Marketing
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about these pure strategies. Let x be the prob. that player 1 uses U<strong>and</strong> y the prob. that player 2 uses L. We must have1 · x + (−1) · (1 − x) = 2 · x + (−2) · (1 − x) ⇒ x = 1 2 ;0 · y + (−1) · (1 − y) = 2 · y + (−2) · (1 − y) ⇒ y = 1 3 .These mixed strategies are said <strong>to</strong> be <strong>to</strong>tally mixed, in the sense thatthey assign strictly positive prob.’s <strong>to</strong> each <strong>and</strong> every pure strategy.Here we have only one mixed strategy NE. If we have two <strong>to</strong>tallymixed NE’s, then we naturally have a continuum of mixed strategyNE’s (why?). From now on, we denote the set of <strong>to</strong>tally mixed strategiesof player i by Σ 0 i . Observe that Σ 0 i is simply the interior of Σ i ,when Σ i is endowed <strong>with</strong> the usual Euclidean <strong>to</strong>pology.19. (Matching Pennies) Note that some games do not have pure strategyNash equilibrium:player 1/player 2 H TH 1,-1 -1,1T -1,1 1,-120. Theorem 2 (Nash, 1950): Every finite game in normal form has amixed strategy equilibrium.Theorem 2 is actually a special version of the following more generaltheorem (see Fudenberg <strong>and</strong> Tirole’s <strong>Game</strong> <strong>Theory</strong>, Theorem 1.2).Theorem 2 ′ : (Debreu-Glicksberg-Fan) Consider a strategic gameG = {I, S = (S 1 , S 2 , · · · , S I ), (u i : S → R; i ∈ I)}<strong>with</strong> I being a finite set (the game has a finite number of players). If forall i ∈ I, S i is a nonempty compact convex subset of some Euclideanspace, <strong>and</strong> if for all i ∈ I, u i is continuous in s <strong>and</strong> quasi-concave in s iwhen given s −i , then G has an NE in pure strategy.21. Suppose that r : Σ → Σ ′ is a correspondence (a multi-valued function),where Σ <strong>and</strong> Σ ′ are some subsets of R n . If r(σ) ≠ ∅ for all σ ∈ Σ, then11