Find the threshold strategy of a game with incomplete information












1












$begingroup$


I have a question on how to find the equilibrium outcomes of the following game as a function of $(epsilon_1, epsilon_2)$.





The game



There are 2 players.



Let $Y_i$ denote the action of player $i$ for each $iin {1,2}$.



For each $iin {1,2}$, player $i$ chooses between action $1$ or $0$.



For each $iin {1,2}$, if player $i$ chooses action $1$, she gets $-frac{1}{2}Y_j+epsilon_i$ as payoff, with $jneq iin {1,2}$



For each $iin {1,2}$, if player $i$ chooses action $0$, she gets $0$ as payoff.



For each $iin {1,2}$, $epsilon_i$ is private information of player $i$.



Players play Bayesian Nash Equilibrium.



We assume that $(epsilon_1, epsilon_2)$ are i.i.d. uniformly distributed in $[-1,1]$.





Question



Show that, for each $iin {1,2}$, player $i$ chooses $1$ if and only if $epsilon_igeq frac{1}{5}$





My thoughts: I really don't know how to answer the question. I tried with solving the following fixed point problem:
$$
begin{cases}
alpha_1=PrBig[(epsilon_1-frac{1}{2})times alpha_2+epsilon_1times (1-alpha_2)geq 0Big]\
alpha_2=PrBig[(epsilon_2-frac{1}{2})times alpha_1+epsilon_2times (1-alpha_1)geq 0Big]\
end{cases}
$$

where $alpha_i$ is the probability that player $i$ playes $i$ and inside the square brackets we have the expected profit of each player.



The system gives $alpha_1=alpha_2=frac{2}{5}$ and it doesn't seem to give/suggest the threshold that is in the question.










share|cite|improve this question









$endgroup$

















    1












    $begingroup$


    I have a question on how to find the equilibrium outcomes of the following game as a function of $(epsilon_1, epsilon_2)$.





    The game



    There are 2 players.



    Let $Y_i$ denote the action of player $i$ for each $iin {1,2}$.



    For each $iin {1,2}$, player $i$ chooses between action $1$ or $0$.



    For each $iin {1,2}$, if player $i$ chooses action $1$, she gets $-frac{1}{2}Y_j+epsilon_i$ as payoff, with $jneq iin {1,2}$



    For each $iin {1,2}$, if player $i$ chooses action $0$, she gets $0$ as payoff.



    For each $iin {1,2}$, $epsilon_i$ is private information of player $i$.



    Players play Bayesian Nash Equilibrium.



    We assume that $(epsilon_1, epsilon_2)$ are i.i.d. uniformly distributed in $[-1,1]$.





    Question



    Show that, for each $iin {1,2}$, player $i$ chooses $1$ if and only if $epsilon_igeq frac{1}{5}$





    My thoughts: I really don't know how to answer the question. I tried with solving the following fixed point problem:
    $$
    begin{cases}
    alpha_1=PrBig[(epsilon_1-frac{1}{2})times alpha_2+epsilon_1times (1-alpha_2)geq 0Big]\
    alpha_2=PrBig[(epsilon_2-frac{1}{2})times alpha_1+epsilon_2times (1-alpha_1)geq 0Big]\
    end{cases}
    $$

    where $alpha_i$ is the probability that player $i$ playes $i$ and inside the square brackets we have the expected profit of each player.



    The system gives $alpha_1=alpha_2=frac{2}{5}$ and it doesn't seem to give/suggest the threshold that is in the question.










    share|cite|improve this question









    $endgroup$















      1












      1








      1


      1



      $begingroup$


      I have a question on how to find the equilibrium outcomes of the following game as a function of $(epsilon_1, epsilon_2)$.





      The game



      There are 2 players.



      Let $Y_i$ denote the action of player $i$ for each $iin {1,2}$.



      For each $iin {1,2}$, player $i$ chooses between action $1$ or $0$.



      For each $iin {1,2}$, if player $i$ chooses action $1$, she gets $-frac{1}{2}Y_j+epsilon_i$ as payoff, with $jneq iin {1,2}$



      For each $iin {1,2}$, if player $i$ chooses action $0$, she gets $0$ as payoff.



      For each $iin {1,2}$, $epsilon_i$ is private information of player $i$.



      Players play Bayesian Nash Equilibrium.



      We assume that $(epsilon_1, epsilon_2)$ are i.i.d. uniformly distributed in $[-1,1]$.





      Question



      Show that, for each $iin {1,2}$, player $i$ chooses $1$ if and only if $epsilon_igeq frac{1}{5}$





      My thoughts: I really don't know how to answer the question. I tried with solving the following fixed point problem:
      $$
      begin{cases}
      alpha_1=PrBig[(epsilon_1-frac{1}{2})times alpha_2+epsilon_1times (1-alpha_2)geq 0Big]\
      alpha_2=PrBig[(epsilon_2-frac{1}{2})times alpha_1+epsilon_2times (1-alpha_1)geq 0Big]\
      end{cases}
      $$

      where $alpha_i$ is the probability that player $i$ playes $i$ and inside the square brackets we have the expected profit of each player.



      The system gives $alpha_1=alpha_2=frac{2}{5}$ and it doesn't seem to give/suggest the threshold that is in the question.










      share|cite|improve this question









      $endgroup$




      I have a question on how to find the equilibrium outcomes of the following game as a function of $(epsilon_1, epsilon_2)$.





      The game



      There are 2 players.



      Let $Y_i$ denote the action of player $i$ for each $iin {1,2}$.



      For each $iin {1,2}$, player $i$ chooses between action $1$ or $0$.



      For each $iin {1,2}$, if player $i$ chooses action $1$, she gets $-frac{1}{2}Y_j+epsilon_i$ as payoff, with $jneq iin {1,2}$



      For each $iin {1,2}$, if player $i$ chooses action $0$, she gets $0$ as payoff.



      For each $iin {1,2}$, $epsilon_i$ is private information of player $i$.



      Players play Bayesian Nash Equilibrium.



      We assume that $(epsilon_1, epsilon_2)$ are i.i.d. uniformly distributed in $[-1,1]$.





      Question



      Show that, for each $iin {1,2}$, player $i$ chooses $1$ if and only if $epsilon_igeq frac{1}{5}$





      My thoughts: I really don't know how to answer the question. I tried with solving the following fixed point problem:
      $$
      begin{cases}
      alpha_1=PrBig[(epsilon_1-frac{1}{2})times alpha_2+epsilon_1times (1-alpha_2)geq 0Big]\
      alpha_2=PrBig[(epsilon_2-frac{1}{2})times alpha_1+epsilon_2times (1-alpha_1)geq 0Big]\
      end{cases}
      $$

      where $alpha_i$ is the probability that player $i$ playes $i$ and inside the square brackets we have the expected profit of each player.



      The system gives $alpha_1=alpha_2=frac{2}{5}$ and it doesn't seem to give/suggest the threshold that is in the question.







      game-theory nash-equilibrium






      share|cite|improve this question













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      asked Jan 24 at 12:47









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