arXiv (All)
open access
Improved Depth-2 Linear Circuits for Disjointness via Quenched Lyapunov Exponents
Let $R_1 := \begin{pmatrix}1&1\\1&0\end{pmatrix}$, and write $R_n := R_1^{\otimes n}$ for the $N \times N$ disjointness matrix, where $N = 2^n$. We construct new depth-2 linear circuits for $R_n$: one of size $O(N^{1.2449})$ and one of maximum input-output degree $O(N^{0.3199})$, improving upon the
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- State-Dependent Lyapunov Analysis of Rank-1 Matrix Factorization#987657
- New bounds for the support of input-output equations in differential-algebraic systems#926709
- Comments on the recent improvements of the MRRW bounds#822282
- A GPU-accelerated Nonlinear Branch-and-Bound Framework for Sparse Linear Models#799951
- FalconGEMM: Surpassing Hardware Peaks with Lower-Complexity Matrix Multiplication#168269
Record · ID 925960
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive