|
Download lean/docs/097.md from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/docs/097.md
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/docs/097.md
-
curl -L -o 097.md https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/docs/097.md
1.01 kB
| # The Euclidean Steinitz–Bergström bound | |
| The following describes the scope of the Lean formalization related to the following accompanying paper(s): | |
| - [The Euclidean Steinitz–Bergström theorem](../../preprints/The-Euclidean-Steinitz-Bergstrom-theorem-September-24-2026/The-Euclidean-Steinitz-Bergstrom-theorem-September-24-2026.pdf) | |
| ## Scope | |
| The formalized result gives the Euclidean Steinitz–Bergström bound with one absolute constant $C$. For every finite family of vectors in the unit ball of $\mathbb R^d$, signs can be chosen so that every prefix in the prescribed order has norm at most $C\sqrt d$. When the vector sum is zero, a permutation makes every unsigned prefix satisfy the same bound. Repeated and zero vectors are included. The result is existential and does not supply an online algorithm. | |
| ## Comparator links | |
| | Result | Comparator statement | | |
| | --- | --- | | |
| | Euclidean signed and reordered prefix bounds | [SteinitzBergstrom.lean](../ComparatorChallenges/SteinitzBergstrom.lean) | | |