Briefing

The core problem of Miner Extractable Value (MEV) in Automated Market Makers (AMMs) is addressed by proposing a novel application-layer mechanism. This breakthrough introduces a new AMM design that processes all block transactions by maintaining a constant potential function across the batch, fundamentally preventing arbitrage opportunities. The single most important implication is the establishment of a new paradigm where provable incentive compatibility and MEV mitigation are achieved at the smart contract level, leveraging, rather than requiring, consensus-level sequencing fairness.

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Context

Prior to this research, MEV mitigation efforts were primarily focused on complex modifications to the underlying consensus protocol, often running into theoretical impossibility results regarding full MEV elimination. The prevailing limitation was the assumption that MEV must be solved at the base layer, leaving decentralized finance (DeFi) applications vulnerable to front-running and centralization risks driven by block producers auctioning off favorable transaction placement. This environment fostered a centralized off-chain ecosystem, departing from the original vision of a decentralized equilibrium.

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Analysis

The core mechanism is a new AMM design that enforces a strict, pre-defined rule set for batch transaction processing, centered on maintaining a constant potential function. Conceptually, this function represents the total value within the AMM pool, and the mechanism ensures that the net change from all transactions within a block is zero for the block producer, eliminating the structural source of arbitrage profit. This fundamentally differs from previous AMM designs by shifting from a continuous, per-transaction pricing model to a batch-clearing model that is mathematically proven to be arbitrage-resilient under a single-miner model and strategy-proof under a sequencing-fair consensus.

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Parameters

  • Arbitrage Resilience → The guarantee that a block producer cannot gain risk-free profit from transaction ordering.
  • Incentive Compatibility → The guarantee that an individual user’s best response is to follow the honest strategy.
  • Constant Potential Function → The mathematical invariant that the new AMM mechanism maintains across the batch of transactions processed within a block.
  • Application Layer Paradigm → The shift of MEV mitigation from the consensus protocol to the smart contract mechanism design.

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Outlook

This research opens a new avenue for designing provably secure and fair decentralized finance primitives, shifting the focus from fixing the consensus layer to building resilient applications. Future work will involve applying this mechanism design paradigm to other complex DeFi primitives, such as lending protocols and derivatives, and formally quantifying the trade-offs between this batch-clearing approach and transaction latency. The long-term application is the creation of a fully strategy-proof DeFi ecosystem where MEV is structurally eliminated, leading to a more equitable and stable on-chain financial architecture in the next three to five years.

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Verdict

This work fundamentally re-architects the approach to MEV mitigation, proving that provable fairness can be secured by mechanism design at the application layer.

AMM mechanism design, Arbitrage elimination, Strategy proofness, Decentralized finance security, Constant potential function, Batch transaction processing, Consensus fairness leverage, Smart contract guarantees, Block producer incentives, Risk free profit, Application layer paradigm, MEV mitigation theory, Cryptoeconomic equilibrium, Transaction value extraction, Blockchain architecture, Foundational DeFi primitive, Mathematical formalism, Permissionless nature, Decentralized equilibrium. 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 equilibrium

Definition ∞ Decentralized equilibrium describes a state within a decentralized system where various participants act according to their self-interest, yet the overall system remains stable and functional.

batch transaction processing

Definition ∞ Batch transaction processing groups multiple individual transactions into a single, larger unit for simultaneous execution.

arbitrage resilience

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

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.

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.

smart contract mechanism

Definition ∞ A Smart Contract Mechanism refers to the operational framework governing self-executing agreements stored on a blockchain.

decentralized finance

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

application layer

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