Briefing

The foundational problem of Miner Extractable Value (MEV) in Automated Market Makers (AMMs) is addressed by proposing a novel, application-layer mechanism that fundamentally alters transaction processing. This breakthrough mechanism batches all transactions within a block and processes them according to pre-defined rules designed to maintain a constant potential function, a mathematical invariant that prevents value extraction. The result is a system that achieves provable arbitrage resilience on legacy blockchains, ensuring miners cannot secure risk-free profit, and a stronger incentive compatibility on sequencing-fair chains, guaranteeing that a user’s best response is to follow the honest trading strategy. This work shifts the MEV mitigation paradigm from heuristic consensus-level fixes to mathematically formal, strategy-proof mechanism design.

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Context

The prevailing challenge in decentralized finance is the structural vulnerability of AMMs to MEV, a direct consequence of the single-leader block production model. Prior to this work, the established theoretical limitation was that a block producer → whether a miner or validator → possessed unilateral control over the inclusion and ordering of transactions. This control enabled risk-free profit extraction via front-running and back-running user trades, effectively centralizing the block proposal process and imposing a hidden cost on all network participants. The problem was generally framed as a consensus-level issue requiring sequencing augmentation, a heuristic approach that lacked formal economic guarantees.

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Analysis

The paper’s core mechanism re-engineers the AMM exchange logic by implementing a batch-clearing process. Instead of executing transactions sequentially as they are ordered by the block producer, the mechanism collects all trades intended for a block and processes them as a single, simultaneous batch. The key conceptual innovation is the enforcement of a constant potential function across the entire batch execution. This function is a mathematical property of the AMM pool that must remain constant after the batch is processed.

By imposing this invariant, the mechanism eliminates the sequential price movement that arbitrageurs exploit. The batch processing ensures arbitrage resilience , meaning no combination of trades within the block can result in a net, risk-free profit for the block producer, fundamentally removing the economic incentive for manipulative ordering.

A sophisticated, cube-like electronic hardware module is depicted in sharp focus, showcasing intricate metallic plating and integrated circuit elements predominantly in silver, dark gray, and vibrant electric blue. This specialized unit, reminiscent of a high-performance ASIC miner, is engineered for intensive hash function computation vital to maintaining Proof-of-Work consensus mechanisms across blockchain networks

Parameters

  • Arbitrage Resilience – Core Guarantee → The formal proof that a block producer cannot gain risk-free profit by manipulating transaction ordering within a block.
  • Incentive Compatibility – Stronger Guarantee → The property proven for sequencing-fair blockchains, where the honest strategy is mathematically guaranteed to be the user’s best response.
  • Constant Potential Function – Mathematical Invariant → The pool property that the new mechanism maintains after batch processing, which conceptually eliminates sequential arbitrage opportunities.

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Outlook

This research opens a critical new avenue for decentralized exchange architecture, positioning mechanism design at the application layer as the most robust defense against MEV. Over the next three to five years, this work is likely to drive the development of a new generation of AMM protocols that are provably fair and arbitrage-resilient by default. The formal proof of incentive compatibility suggests a clear roadmap for protocols built atop sequencing-fair consensus layers, enabling a truly strategy-proof DeFi ecosystem. Future research will focus on extending these formal guarantees to compositional settings, addressing cross-block strategies and multi-asset trading to secure the entire on-chain financial landscape.

The image displays a detailed, close-up perspective of a complex electronic circuit board, featuring a prominent central processor unit. Its metallic silver surface is intricately designed with numerous pathways and components, highlighted by glowing blue elements within its core and surrounding infrastructure

Verdict

This mechanism design provides a foundational, mathematically formal solution to the systemic MEV problem, proving that economic fairness can be guaranteed at the application layer through rigorous protocol engineering.

Automated Market Makers, Mechanism Design, Miner Extractable Value, Arbitrage Resilience, Strategy Proofness, Batch Auction, Decentralized Finance, Game Theory, Transaction Ordering, Constant Potential Function, Sequencing Fairness, Blockchain Economics, Risk-Free Profit, Application Layer, DeFi Protocol Signal Acquired from → arXiv.org

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constant potential function

Definition ∞ A constant potential function is a mathematical construct utilized in automated market makers (AMMs) and decentralized exchanges (DEXs) to maintain a specific invariant across liquidity pools.

decentralized finance

Definition ∞ Decentralized finance, often abbreviated as DeFi, is a system of financial services built on blockchain technology that operates without central intermediaries.

potential function

Definition ∞ Potential Function describes the inherent capabilities or possible applications that a system, protocol, or asset possesses, which may not yet be fully developed or utilized.

arbitrage resilience

Definition ∞ Arbitrage resilience refers to a system's capacity to withstand and maintain stability amidst opportunistic price discrepancies across different markets.

transaction ordering

Definition ∞ Transaction Ordering refers to the process by which transactions are arranged into a specific sequence before being included in a block on a blockchain.

incentive compatibility

Definition ∞ Incentive Compatibility describes a system design where participants are motivated to act truthfully and in accordance with the system's rules, even if they could potentially gain by misbehaving.

batch processing

Definition ∞ Batch Processing involves grouping multiple transactions together to be executed as a single unit.

application layer

Definition ∞ The Application Layer refers to the topmost layer of a network architecture where user-facing applications and services operate.

mechanism design

Definition ∞ Mechanism Design is a field of study concerned with creating rules and incentives for systems to achieve desired outcomes, often in situations involving multiple participants with potentially conflicting interests.