Consider a complete information game being played between two players given five objects. Players have certain preferences over the objects and each simultaneously places a sealed bid-vector to win them. For each object, the highest bidder wins it (ties are broken by giving each player exactly half of the tied object except when both bid $0$, in which case the object is not distributed).
Preferences: Suppose player $i$ derives a payoff of $u_{ij} \in \mathbb{R}_{\geq 0}$ when he wins object $j$. If he wins half of $j$, then his payoff is $\frac{1}{2} u_{ij}$. The values $u_{ij}$ are given beforehand.
Payoffs: Define $1_{ij}$ as the indicator function that is assigned the value $1$ if player $i$ entirely wins object $j$, value $0.5$ if player $i$ wins half of $j$ and $0$ otherwise.
Player $i$’s total payoff after the game concludes is given by $\displaystyle \sum_{j \in M} \left(1_{ij} \cdot u_{ij}\right)$ where $M$ is the set of five objects. That is, the sum of payoffs over all objects won.
Strategies: Each player begins with $\$ 1$. Player $i$’s strategy bid-vector is given by $B_i = [b_{i1}, b_{i2}, b_{i3}, b_{i4}, b_{i5}]$ such that $\sum_{j=1}^{5} b_{ij} \leq 1$ where $b_{ij}$ denotes the (non-negative) amount he bid for object $j$.
If the preferences $u_{ij}$’s are given beforehand, can we compute the set of all mixed strategy Nash equilibria?
Just to clarify, a Nash Equilibrium is when no player can place a (mixed-strategy) bid-vector that strictly increases his overall payoff.
In the earlier version of this post (pre-edit), I had included some of my thoughts and approach. However, that turned out to be completely incorrect and hence is removed from the post.
The goal obviously is to work out for the case where the number of players and objects are arbitrary. If anyone is interested in that direction, you are welcome.