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Microeconomics I: Game Theory
Lecture 4:Best Response Correspondence
(see Osborne, 2009, Sect 2.8)
Dr. Michael TrostDepartment of Applied Microeconomics
November 8, 2013
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 1 / 22
Detecting the set of Nash equilibria
Up to this point, Nash equilibria in a strategic game have beendetected by checking each possible action profile whether someplayer has an incentive to deviate from this profile.
However, to detect the set of Nash equilibria in a strategic game,it is often better to work with a concept that is known as thebest response correspondence (sometimes also called reactioncorrespondence).
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 2 / 22
Best response correspondence
Consider a strategic game Γ := (I , (Ai)i∈I , (%i)i∈I ).
The best response correspondence Bi is the correspondencethat assigns to every other players’ action a−i ∈ A−i set
Bi(a−i) := {ai ∈ Ai : Ui(ai , a−i) ≥ Ui(a′i , a−i) for every a′i ∈ Ai} .
Verbally, best response correspondence Bi gives, for every otherplayers’ action a−i ∈ A−i , the set of player i ’s actions that yieldthe highest possible utility to her provided that the otherplayers choose action a−i .
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 3 / 22
Best response function
The best response correspondence Bi of player i is said to besingle-valued if set Bi(a−i) contains only one element for everyaction a−i ∈ A−i of the other players.
If the best response correspondence Bi is single-valued, then afunction bi , known as the best response function, is definablewhich gives the single member of Bi(a−i) for every a−i ∈ A−i , i.e.,
Bi(a−i) = {bi(a−i)} .
holds for every a−i ∈ A−i .
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 4 / 22
B.r.c. of Prisoner’s Dilemma
Suspect B
quiet fink
Suspect Aquiet 2,2 0,3fink 3,0 1,1
Best response correspondence of
suspect A: BA(quiet) = {fink}, BA(fink) = {fink},suspect B: BB(quiet) = {fink}, BB(fink) = {fink}.
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 5 / 22
B.r.c. of Matching Pennies
Individual B
Head Tail
Individual AHead 1,-1 -1,1Tail -1,1 1,-1
EXERCISE: Determine the best response correspondences ofMATCHING PENNIES!
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 6 / 22
B.r.c. of Battle of Sexes
Individual B
Bach Stravinsky
Individual ABach 2,1 0,0Stravinsky 0,0 1,2
EXERCISE: Determine the best response correspondences ofBATTLE OF SEXES!
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 7 / 22
B.r.c. of the two player Guessing Game
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Guess of player 1
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Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 8 / 22
B.r.c. of the two player Guessing Game
In the two player guessing game, the best responsecorrespondence of player 1 is
B1(a2) =
{{0}, if a2 = 0
{a1 ∈ [0, 100] : a1 < a2}, if a2 > 0
and best response correspondence of player 2 is
B2(a1) =
{{0}, if a1 = 0
{a2 ∈ [0, 100] : a2 < a1}, if a1 > 0 .
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 9 / 22
B.r.c. and Nash equilibrium
The following theorem sets forth how the concept of bestresponse correspondence is related to the Nash equilibriumconcept.
This relationship paves the way for a two-step method fordetecting the Nash equilibria of a strategic game.
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 10 / 22
B.r.c. and Nash equilibrium
Theorem 4.1Consider a strategic game Γ := (I , (Ai)i∈I , (%i)i∈I ) and denote by Bi
the best response correspondence of player i ∈ I .
An action profile a∗ ∈ ×i∈IAi is a Nash equilibrium of Γ if and only if,for every player i ∈ I ,
a∗i ∈ Bi(a∗−i)
holds.
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 11 / 22
B.r.f. and Nash equilibrium
Suppose the players’ best response correspondences Bi aredescribable by best response functions bi .
According to Theorem 4.1 action profile a∗ is a Nash equilibriumif and only if equation
a∗i = bi(a∗−i)
is satisfied for every player i .
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 12 / 22
A two-step solution method
The characterization of Nash equilibrium by best responsecorrespondences in Theorem 4.1 suggests following two-stepmethod for detecting Nash equilibria:
1 Find the best response correspondence for each player.2 Find the actions profiles a∗ that satisfy a∗i ∈ Bi(a
∗−i) for every
player i ∈ I .
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 13 / 22
Two-step method in Prisoner’s Dilemma
Suspect B
quiet fink
Suspect Aquiet 2,2 0,3fink 3,0 1,1
The action profile (quiet,quiet) is not a Nash equilibrium,because quiet /∈ BA(quiet) (and even quiet /∈ BB(quiet)) holds.
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 14 / 22
Two-step method in Prisoner’s Dilemma
Suspect B
quiet fink
Suspect Aquiet 2,2 0,3fink 3,0 1,1
The action profile (quiet,fink) is not a Nash equilibrium, becausequiet /∈ BA(fink) holds.
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 15 / 22
Two-step method in Prisoner’s Dilemma
Suspect B
quiet fink
Suspect Aquiet 2,2 0,3fink 3,0 1,1
The action profile (fink,quiet) is not a Nash equilibrium, becausequiet /∈ BB(fink) holds.
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 16 / 22
Two-step method in Prisoner’s Dilemma
Suspect B
quiet fink
Suspect Aquiet 2,2 0,3fink 3,0 1,1
The action profile (fink,fink) is a Nash equilibrium because
fink ∈ BA(fink) and
fink ∈ BB(fink)
are satisfied.
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 17 / 22
Two-step method in Matching Pennies
Individual B
Head Tail
Individual AHead 1,-1 -1,1Tail -1,1 1,-1
EXERCISE: Find the Nash equilibria of MATCHING PENNIES bythe two-step solution method!
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 18 / 22
Two-step method in Battle of Sexes
Individual B
Bach Stravinsky
Individual ABach 2,1 0,0Stravinsky 0,0 1,2
EXERCISE: Find the Nash equilibria of BATTLE OF SEXES by thetwo-step solution method!
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 19 / 22
Nash equilibrium of the Guessing Game
The profile (a1, a2) of guesses of the two player GUESSING
GAME for which
1 a1 = a2 > 0 holds, is not a Nash equilibrium becausea1 /∈ B1(a2) (and even a2 /∈ B2(a1)) applies.
2 a1 > a2 holds, is not a Nash equilibrium because a1 /∈ B1(a2)
applies.
3 a2 > a1 holds, is not a Nash equilibrium because a2 /∈ B2(a1)
applies.
4 a1 = a2 = 0 holds, is a Nash equilibrium because 0 ∈ B1(0)
and 0 ∈ B2(0) apply.
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 20 / 22
Fixed point and Nash equilibrium
Let B the correspondence that gives, for every action profilea ∈ A, the Cartesian product of the best responses of all players,i.e., for every a ∈ A
B(a) := ×i∈IBi(a−i) .
By Theorem 4.1 an action profile a∗ ∈ A turns out to be a Nashequilibrium if and only if a∗ is a fixed point of correspondenceB, i.e., if and only if
a∗ ∈ B(a∗)
holds.
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 21 / 22
Fixed point and Nash equilibrium
The last remark describes the Nash equilibria as a fixed points.Thus, the issue of existence of a Nash equilibrium amounts tothe issue of finding a fixed point of correspondence B .
Fixed point theorems (e.g., KAKUTANI’S FIXED POINT
THEOREM) state conditions on correspondence B so that B has afixed point.
Dr. Michael Trost Microeconomics I: Game Theory Lecture 4 22 / 22