Briefing

The foundational problem of Miner Extractable Value (MEV) in Automated Market Makers (AMMs) stems from the block producer’s ability to control transaction ordering, leading to arbitrage opportunities and an off-chain centralization risk. This research proposes a new AMM mechanism that processes all transactions within a block as a single, atomic batch, ensuring that a constant potential function is maintained across the entire execution. This architectural shift formally guarantees arbitrage resilience at the application layer, fundamentally securing the financial primitive against predatory value extraction regardless of the underlying consensus protocol’s sequencing fairness, thus stabilizing the core infrastructure of decentralized finance.

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Context

The established theory of constant function market makers (CFMMs), such as the constant product model, is inherently path-dependent → the final state of the liquidity pool and the resulting price depend on the sequential order in which trades are executed within a block. This path-dependence is the precise theoretical limitation that creates MEV, as it allows a block producer to strategically insert transactions → front-running and back-running → to capture the price difference, which is a risk-free profit. The prevailing academic challenge was to design a mechanism that is logically sequencing-agnostic within a block without resorting to complex, often incomplete, consensus-layer fairness solutions.

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Analysis

The paper’s core mechanism is a batch-clearing process that replaces sequential execution with simultaneous, unified settlement. Instead of updating the pool state after each transaction, the mechanism collects all user trades submitted in a block and calculates a single, market-clearing price and allocation for the entire batch. The new primitive is a mechanism that enforces the invariant → the pool’s state before the batch and its state after the batch must both satisfy the chosen constant potential function (e.g. $x cdot y = k$).

By enforcing this invariant across the aggregate change, the mechanism eliminates the transient, exploitable price deviations between sequential trades that arbitragers rely upon. This fundamentally differs from previous AMMs by removing the block producer’s ability to profit from transaction ordering, as all transactions are effectively treated as one single, large trade.

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Parameters

  • Arbitrage Resilience → Miner cannot gain risk-free profit. This guarantee holds even when the block producer has unilateral control over block contents and transaction sequencing.
  • Incentive Compatibility → Users are incentivized to report true demand. This stronger guarantee is achieved when the underlying consensus provides a weak form of sequencing fairness.
  • Constant Potential Function → The core mathematical invariant (e.g. $x cdot y = k$) must be maintained by the pool state after processing the entire transaction batch.

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Outlook

This mechanism design opens a new research avenue focused on application-layer MEV mitigation, strategically shifting the burden away from complex, often incomplete, consensus-layer fairness protocols. The theoretical breakthrough enables the construction of provably fair financial primitives. Future work will focus on generalizing this batch-clearing model to more complex decentralized financial instruments, such as lending protocols and options markets, creating a new class of strategy-proof, fair decentralized financial infrastructure within the next three to five years.

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Verdict

The introduction of a batch-clearing invariant for Automated Market Makers represents a critical, formal advancement in mechanism design, proving that application-layer architecture can mathematically eliminate the systemic risk of Miner Extractable Value.

Automated market makers, Miner extractable value, Arbitrage resilience, Mechanism design, Batch processing, Decentralized finance, Constant potential function, Transaction sequencing, Incentive compatibility, Strategy proofness, Block producer profit, On-chain fairness, Liquidity provision, Decentralized exchanges, Risk-free profit, Financial primitives 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.

risk-free profit

Definition ∞ Risk-Free Profit refers to a theoretical financial gain obtained without exposure to any market risk or potential for loss.

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.

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.

transaction sequencing

Definition ∞ Transaction sequencing refers to the process by which a blockchain network orders and includes transactions into blocks.

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.

transaction

Definition ∞ A transaction is a record of the movement of digital assets or the execution of a smart contract on a blockchain.

financial primitives

Definition ∞ Financial primitives are the fundamental building blocks or basic components upon which more complex financial instruments and applications are constructed.

automated market makers

Definition ∞ Automated Market Makers are decentralized exchange protocols that use algorithms to facilitate token swaps without traditional order books.