Bohnenblust--Hille constant on the Boolean cube ()
Bohnenblust--Hille constant on the Boolean cube: determine or improve its bounds; the repository records (lower) and (upper).
Editorial MSC2020 classification. Original article codes and source evidence are recorded in the literature directory.
Problem statement
Degree at most functions have Fourier--Walsh expansion
For set . The (degree ) Bohnenblust--Hille inequality asks for the smallest constant such that for every and every function of degree at most (),
Let denote this best constant (which depends on ). We define
Equivalently, is the smallest constant for which the above inequality holds simultaneously for all degrees (with the exponent depending on as above).
Lean 4
No Lean statement or proof is attached yet. Have a formalization? Share its source to add it to this problem.
Background
- The exponent is best possible (cannot be increased), even if the constant is allowed to depend on . [Bl2001]
- The paper [DMP2019] proves the subexponential upper bound arXiv:1706.03670
- One application is to computational learning theory: quantitative bounds on the Bohnenblust--Hille constants for functions on yield improved upper bounds on the randomized query complexity for learning bounded degree- functions from random queries; see [EI2022].
References (from the repository page)
- [ADGP2025] Arunachalam, S.; Dutt, A.; Escudero Gutiérrez, F.; Palazuelos, C. A cb-Bohnenblust–Hille inequality with constant one and its applications in learning theory. Math. Ann. 392 (2025), 3367–3396. doi:10.1007/s00208-025-03142-5.
- [BH1931] Bohnenblust, H. F.; Hille, E. On the absolute convergence of Dirichlet series. Ann. of Math. 32 (1931), no. 3, 600--622.
- [Bl2001] Blei, R. Analysis in Integer and Fractional Dimensions. Cambridge Univ. Press, 2001.
- [DMP2019] Defant, Andreas; Mastyło, Mieczysław; Pérez, Antonio. On the Fourier spectrum of functions on Boolean cubes. Math. Ann. 374 (2019), no. 1--2, 653--680. arXiv:1706.03670
- [EI2022] Eskenazis, Alexandros; Ivanisvili, Paata. Learning Low-Degree Functions from a Logarithmic Number of Random Queries. Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing (STOC '22), 2022. arXiv:2109.10162. doi:10.1145/3519935.3519981.
Progress & source assessment
Repository table (commit 2c1968c, 26 September 2026): best known lower bound ; best known upper bound . Values marked with an asterisk have minimal verification.
Known upper bounds
| Bound | Reference | Comments |
|---|---|---|
| Trivial | the best general estimate currently available is subexponential growth: for an absolute constant [DMP2019]. |
Known lower bounds
| Bound | Reference | Comments |
|---|---|---|
| [ADGP2025] | Degree address function achieves the bound . At present, chasing incremental improvements of lower bounds seems less compelling than establishing any finite uniform upper bound. That said, exhibiting a construction that forces the constant to exceed would already be a genuinely interesting result. |
- [1]Davis, Damek; Ivanisvili, Paata; Tao, Terence (maintainers). Optimization Constants in Mathematics, github.com/teorth/optimizationproblems (commit 2c1968c, 26 September 2026). — Bohnenblust--Hille constant on the Boolean cube ($C_{26a}$) linkApache-2.0 (repository license); constant pages reproduced with attribution; repository references retained.
Recorded progress
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