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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2014-09-23 10:39:25 -0400 |
|---|---|---|
| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2014-09-23 10:39:25 -0400 |
| commit | 95f22fe1d61dcf93ab2c88b4e54e99569579ef21 (patch) | |
| tree | 2fba26acd7c002a3742032a926035e9b3bd906fb /ps1/main.tex | |
| parent | 415372ec09e426c4e75d44e5ff671a7bcf416cfc (diff) | |
| download | econ2099-95f22fe1d61dcf93ab2c88b4e54e99569579ef21.tar.gz | |
End of Problem 2
Diffstat (limited to 'ps1/main.tex')
| -rw-r--r-- | ps1/main.tex | 28 |
1 files changed, 17 insertions, 11 deletions
diff --git a/ps1/main.tex b/ps1/main.tex index e45246d..f888998 100644 --- a/ps1/main.tex +++ b/ps1/main.tex @@ -106,11 +106,10 @@ conditioning on whether agent $1$ wins, we get: \begin{displaymath} x_1(v_1) = w_1 \Pr[s(v_1)\geq s(v_2)] + w_2\Pr[s(v_1)\leq s(v_2)] \end{displaymath} -But note that if $s$ exists, it has to be non-decreasing (otherwise, this would -contradict the fact that the allocation rule is non-decreasing by Theorem -2.10). Hence, $\Pr[s(v_1)\geq s(v_2)] = \Pr[v_1 \geq v_2]$ and similarly, +By assumption, $s$ is strictly increasing. Hence, $\Pr[s(v_1)\geq s(v_2)] += \Pr[v_1 \geq v_2]$ and similarly, $\Pr[s(v_1) \leq s(v_2)] = \Pr[v_1\leq v_2]$. Now, denoting by $F$ the -distribution of agent's values, we can rewrite: +distribution of the agent's values, we can rewrite: \begin{displaymath} x_1(v_1) = w_1F(v_1) + w_2\big(1-F(v_1)\big) = w_2 + (w_1-w_2)F(v_1) \end{displaymath} @@ -137,30 +136,37 @@ where $f(z) = F'(z)$ denotes the density function of $F$. This, in addition to } \end{displaymath} -Let us now verify that $s$ is indeed non-decreasing. We compute: +Let us now verify that $s$ is indeed increasing. We compute: \begin{displaymath} s'(v_i) = \frac{(w_1-w_2)v_if(v_i)\big(w_2 + (w_1-w_2)F(v_i)\big) - (w_1-w_2)\big(\int_0^{v_i}zf(z)dz\big)(w_1-w_2)f(v_i)}{\big(w_2+(w_1-w_2)F(v_i)\big)^2} \end{displaymath} -We only care about the sign of the numerator. Rearranging the terms, it is +We only care about the sign of the numerator, because the denominator is always +positive. Rearranging the terms, it is equal to: \begin{displaymath} (w_1-w_2)w_2v_if(v_i) + (w_1-w_2)^2f(v_i)\left(v_iF(v_i) - \int_0^{v_i}zf(z)dz\right) \end{displaymath} It is easy to see that this quantity is non-negative since the term inside the -paranthesis is equal to $\int_0^{v_i}F(z)dz$ using the same integration by +rightmost parentheses is equal to $\int_0^{v_i}F(z)dz$ using the same integration by parts as above. -As noted above, $s$ being non-decreasing implies that the allocation rule of -the position auction with strategy $s$ is non-decreasing. By design, $s$ +As noted above, $s$ being increasing implies that the allocation rule of +the position auction with strategy $s$ is also increasing. By design, $s$ satisfies the payment identity of Theorem 2.10. But we cannot conclude that $s$ is a Bayes-Nash equilibrium yet because it is not onto. However, we can show -that bids which are not in the image of $s$ are dominated. Since $s$ is +that bids which are not attained by $s$ are dominated. Since $s$ is non-decreasing, its maximum value is: \begin{displaymath} s(1) = \frac{(w_1-w_2)\int_0^1 zf(z)dz}{w_1} \end{displaymath} +Let us show that bids above $s(1)$ are dominated by $s(1)$. The utility of an +agent with value $v$ when bidding $s(1)$ is $u = w_1(v-s(1))$ since he will be +allocated to the first position in this case. Then consider a bid $b>s(1)$; the +utility in this case will be $u' = w_1(v-b)$ which is less than $u$. -By Theorem 2.10, there are no asymmetric strategy profiles (there is a unique symmetric Bayes-Nash equilibrium). +We have now established the uniqueness of a symmetric Bayes-Nash equilibrium. +We can now conclude by applying Theorem 2.10 which states that there are no +asymmetric strategy profiles. \end{document} |
