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-rw-r--r--project2/main.tex12
1 files changed, 8 insertions, 4 deletions
diff --git a/project2/main.tex b/project2/main.tex
index cfc3831..dc863df 100644
--- a/project2/main.tex
+++ b/project2/main.tex
@@ -55,7 +55,7 @@ the utility of an agent with type $t=(t_1,\ldots, t_m)$ is defined by:
By the taxation principle, a mechanism for this setting can be described by
a pair $x(\cdot), p(\cdot)$ where the allocation rule $x$ and the payment rule
-$p$ are indexed by the agent's type. For an agent with type $t$, $\big(x(t),
+$p$ are indexed by the agent's type. For an agent with type $t$, $\big(x(t),
p(t)\big)$ is her preferred menu option.
The revenue-optimal mechanism for this single-agent problem can be formally
@@ -94,9 +94,12 @@ Problem~\ref{eq:opt}:
\label{eq:ea}
\E_{t\sim F}\big[x_i(t)] \leq \hat{x}_i,\quad\forall i\in[m]
\end{equation}
-which simply expresses that the ex-ante allocation rule is upper-bounded by
+which expresses the assumption that the ex-ante allocation rule is upper-bounded by
$\hat{x}$.
+To provide some more intuition about this, we assume that the buyer is charged a price $p_0$ to participate in the mechanism,
+and then is offered a menu of goods with prices $p_1,...,p_m$. The buyer's utility over the goods is additive, as above. However, there is an ex-ante constraint of being allocated a given good $i$, given by $\hat{x}_i$. For each good, if the buyer is allocated the good, which he is with probability $x_i \leq \hat{x}_i$, then he pays $p_i$; otherwise, he pays nothing. This is essentially the concept of a two-part tariff, as discussed in \cite{armstrong}.
+
Let us denote by $R(\hat{x})$ the revenue obtained by the optimal mechanism
solution to Problem~\ref{eq:opt} with ex-ante allocation constraint
\eqref{eq:ea}.
@@ -114,11 +117,12 @@ for the multi-agent problem which is a $\gamma\cdot\alpha$ approximation to the
revenue-optimal mechanism where $\gamma$ is a constant which is at least
$\frac{1}{2}$.
-It is interesting to consider two specific case for which we already have an
+It is interesting to consider two specific cases for which we already have an
answer to our problem:
\begin{itemize}
\item when $\hat{x} = (1,\ldots,1)$, \eqref{eq:ea} does not further
- constrain Problem~\ref{eq:opt}. In this case, as discussed above, the
+ constrain Problem~\ref{eq:opt}, i.e. the constraint is trivially satisfied.
+ In this case, as discussed above, the
mechanism described in \cite{babaioff} provides a 6-approximation.
\item when $\hat{x} = (\frac{1}{m},\ldots,\frac{1}{m})$, by summing the
constraint \eqref{eq:ea} for all $i\in[m]$, we see that the ex-ante