This paper establishes a rigorous mathematical framework for optimal routing in decentralized finance by transforming non-convex exchange constraints into a scalable convex optimization problem, enabling the simultaneous maximization of trader utility and the algorithmic identification of complex arbitrage opportunities within multi-asset liquidity networks.

This paper explores the trade-off between inflating ratings and maintaining credibility, demonstrating that a long-term reputation mechanism can effectively replace formal commitment to ensure market transparency.