FRP-19: MEV Auction games

Title: MEV Auction games
Team: Bruno Mazorra Roig
Flashbots contact: @fiiiu
Created: 2022-01-24
Status: Completed
Github: mev-research/FRP-19.md at main · flashbots/mev-research · GitHub


MEV Auction games

Background and Problem Statement

In Flashboys 2.0. Philip Daian et al. proposed a formalization of the price gas auction (PGA) model and proved mathematically and empirically the existence of Grim-Trigger Nash equilibrium under certain constraints. However, different chains and protocols emerged, such as Polygon and mev-geth. This induced new MEV auction games, that could potentially bring new incentives to searchers. Leading to different Nash equilibrium strategies, negative externalities, and validator’s expected revenue.

The goal of this FRP is to survey the games and the Nash equilibrium of MEV extraction in PGA auctions, private mempools, Flashbots auctions, and the composition of all of them. Further, we will initially focus on a proper game theory formalization of latency, gas optimization, extractable value optimization, and action space of the games. With a proper formalization, we expect to find and characterize all the Nash equilibrium of MEV auction games, providing data and mathematical proofs to show the results obtained. We suspect that in each game, the players will have different strategies such as spamming, cartelizing, censoring, and/or improving geographic localization to maximize their payoff.

Plan and Deliverables

  • Formalize the PGA in different domains and the Flashbots Auction game.
  • Try to provide a universal framework that parametrizes all standard MEV-auction games.
  • Try to find all Nash equilibrium strategies in the MEV auction game. Moreover, precise the existence of evolutionary stable Nash equilibrium strategies.
  • Compare the negative externalities on users and searchers of these MEV auctions games.
  • Provide an overview of the consequences of the MEV games on decentralization, livness, chain growth, and chain quality in general Blockchains.

References

Output