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# Mathematics > Combinatorics
**arXiv:2609.11189** (math)
[Submitted on 10 Sep 2026]
# Title:Vector Balancing via Directional Total Variation
Authors:[Shengtao Guo](https://arxiv.org/search/math?searchtype=author&query=Guo,+S), [Ethan X. Fang](https://arxiv.org/search/math?searchtype=author&query=Fang,+E+X), [Junwei Lu](https://arxiv.org/search/math?searchtype=author&query=Lu,+J)
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> Abstract:Our main result is a $3\sqrt{2\pi}$ bound for the Komlós signing problem: every finite family of real vectors of Euclidean norm at most one admits a signed sum of $\ell\_\infty$-norm less than this constant, independently of the dimension and the family size. For any $\kappa\ge0$, if a bounded open convex set supports a probability density with directional total variation at most $\kappa$ in every unit direction, then its open-set Banaszczyk transform supports another such density with the same $\kappa$, provided the translation vector $v$ satisfies $\kappa\|v\|\_2\le1/3$. As a consequence, every finite set system in which each element belongs to at most $t$ sets, where $t\ge1$ is an integer, admits a two-coloring whose imbalance in each set is less than $3\sqrt{2\pi t}$. This gives the square-root dependence predicted by the Beck-Fiala conjecture. The proof was discovered by the Odin Automatic AI Research Agent.
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| Subjects: | Combinatorics (math.CO); Functional Analysis (math.FA) |
| Cite as: | [arXiv:2609.11189](https://arxiv.org/abs/2609.11189) [math.CO] |
| | (or [arXiv:2609.11189v1](https://arxiv.org/abs/2609.11189v1) [math.CO] for this version) |
| | <https://doi.org/10.48550/arXiv.2609.11189> Focus to learn more arXiv-issued DOI via DataCite |
## Submission history
From: Shengtao Guo [[view email](https://arxiv.org/show-email/2cf34991/2609.11189)]
**[v1]**
Thu, 10 Sep 2026 07:54:44 UTC (23 KB)
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