Files
papers/lux-fraud-proofs/sections/11-comparison-with-zk-rollups.tex
zeekay 4a753bb639 papers: reorganize into per-paper dirs, add Antje Worring as co-author
Restructured from flat .tex/.pdf files into per-paper subdirectories.
Added Antje Worring as co-author on all papers.
Synced PDFs to pdfs/ for download site.
2026-04-18 21:50:07 -07:00

51 lines
1.5 KiB
TeX

\section{Comparison with ZK-Rollups}
We compare optimistic rollups with fraud proofs against ZK-rollups across multiple dimensions.
\begin{table}[h]
\centering
\caption{Optimistic vs ZK-Rollup Comparison}
\begin{tabular}{lll}
\toprule
\textbf{Feature} & \textbf{Optimistic Rollup} & \textbf{ZK-Rollup} \\
\midrule
Proof overhead & Low (only if challenged) & High (every batch) \\
Finality time & 7 days (typical) & 10 minutes \\
Security model & 1-of-N honest assumption & Cryptographic \\
EVM compatibility & Native & Requires zkEVM \\
Proof generation cost & \$10-100 & \$1000-10000 \\
Verifier complexity & Medium & Low \\
Data availability & Full transaction data & Proof + state diff \\
Capital requirements & High (bonds) & Low \\
\bottomrule
\end{tabular}
\end{table}
\subsection{Security Model Comparison}
Optimistic rollups rely on game-theoretic security:
\begin{equation}
\text{Security}_{\text{OR}} = P(\text{at least one honest challenger})
\end{equation}
ZK-rollups provide cryptographic security:
\begin{equation}
\text{Security}_{\text{ZK}} = 1 - P(\text{break cryptographic assumptions})
\end{equation}
\subsection{Cost Analysis}
The amortized cost per transaction:
\begin{equation}
\text{Cost}_{\text{OR}} = \frac{\text{Data Cost} + P(\text{challenge}) \times \text{Challenge Cost}}{n}
\end{equation}
\begin{equation}
\text{Cost}_{\text{ZK}} = \frac{\text{Data Cost} + \text{Proof Generation Cost}}{n}
\end{equation}
where $n$ is the number of transactions in a batch.