arXiv (OAI Expanded)
open access
Concise tensors with maximal symmetries
Conner, Gesmundo, Landsberg and Ventura (2019) determined the largest stabilizer dimension of concise $n\times n \times n$ tensors that are binding, and they determined the corresponding maximizing tensors to be the null algebra tensors. They left as an open problem to extend this to all concise $n
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
- New lower bounds on tensor rank of $(2,n,m)$ matrix multiplication with GPT-6#1083833
- New lower bounds on tensor rank of $(n,2,m)$ matrix multiplication with GPT-6#1128639
- Parallelizing Large-Scale Tensor Network Contraction on Multiple GPUs#246509
- Maximal rank of $4\times 4\times 4$ and $k\times 4\times 3$ tensors over $\mathbb{F}_2$#972699
- Capacity Scalability of LEO Constellations With Dynamic Link Failures#178836
Record · ID 1123656
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