A study of liquidity cross-chain models based on convex optimization
Yutong Han1,2,3, Chundong Wang1,2,3, Huaibin Wang4,5,6
1Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, 300384, People's Republic of China.
Scientific Reports
|November 28, 2024
Summary
This study introduces a novel convex optimization model for blockchain cross-chain interoperability. It enables efficient, secure asset liquidity and seamless interaction between different blockchain applications.
Area of Science:
- Computer Science
- Distributed Systems
- Cryptography
Background:
- Blockchain technology is maturing, necessitating enhanced interoperability between applications.
- Existing cross-chain solutions often lack efficient liquidity management and seamless asset transfer.
Purpose of the Study:
- To design a convex optimization-based model for efficient cross-chain liquidity interoperability.
- To enable uniform NFT identification and optimal liquidity contract matching across different blockchains.
Main Methods:
- Development of a convex optimization model for liquidity contract pair cross-chain transactions.
- Implementation of a uniform distributed NFT ID construction identification method.
- Utilization of AMM bonding curve management for immediate liquidity effects.
Main Results:
- The proposed model achieves globally optimal matching for liquidity contracts, minimizing cross-chain time.
- Demonstrated efficient, applicable, and secure cross-chain asset interoperability.
- Experimental validation confirmed the model's efficiency, robustness, and convergence.
Conclusions:
- The convex optimization-based liquidity contract model effectively addresses blockchain cross-chain interaction needs.
- This approach enhances user asset liquidity and interoperability across diverse blockchain environments.
- The model offers a secure and efficient infrastructure for future decentralized application development.
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