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papers/lux-fraud-proofs/sections/18-performance-metrics.tex
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\section{Performance Metrics}
Measuring system performance across multiple dimensions provides insights into effectiveness.
\subsection{Challenge Success Rate}
In a well-functioning system:
\begin{equation}
\text{ChallengeRate} = \frac{\text{Successful Challenges}}{\text{Total Assertions}} \approx 0
\end{equation}
Non-zero rates indicate either bugs or attacks.
\subsection{Average Finality Time}
Including challenge periods:
\begin{equation}
\bar{T}_{\text{finality}} = \tau + P(\text{challenge}) \times T_{\text{resolution}}
\end{equation}
For Lux with adaptive periods, this ranges from hours to days depending on stake and history.
\subsection{Gas Cost Analysis}
Total gas costs for dispute resolution:
\begin{equation}
\text{Gas}_{\text{total}} = \sum_{i=1}^{\log n} \text{Gas}_{\text{bisection}}(i) + \text{Gas}_{\text{one-step}}
\end{equation}
Typically 5-10 million gas for full dispute resolution.
\subsection{Throughput Improvement}
Rollup throughput compared to L1:
\begin{equation}
\text{Speedup} = \frac{\text{TPS}_{\text{rollup}}}{\text{TPS}_{\text{L1}}} = \frac{\text{Sequencer Rate}}{\text{Data Posting Rate}}
\end{equation}
Lux rollups achieve 10-100x improvements depending on configuration.